diff --git a/.devops/main-cuda.Dockerfile b/.devops/main-cuda.Dockerfile new file mode 100644 index 00000000000..9345241acff --- /dev/null +++ b/.devops/main-cuda.Dockerfile @@ -0,0 +1,38 @@ +ARG UBUNTU_VERSION=22.04 +# This needs to generally match the container host's environment. +ARG CUDA_VERSION=12.3.1 +# Target the CUDA build image +ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION} +# Target the CUDA runtime image +ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION} + +FROM ${BASE_CUDA_DEV_CONTAINER} AS build +WORKDIR /app + +# Unless otherwise specified, we make a fat build. +ARG CUDA_DOCKER_ARCH=all +# Set nvcc architecture +ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH} +# Enable cuBLAS +ENV WHISPER_CUBLAS=1 + +RUN apt-get update && \ + apt-get install -y build-essential \ + && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/* + +# Ref: https://stackoverflow.com/a/53464012 +ENV CUDA_MAIN_VERSION=12.3 +ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH + +COPY .. . +RUN make + +FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime +WORKDIR /app + +RUN apt-get update && \ + apt-get install -y curl ffmpeg \ + && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/* + +COPY --from=build /app /app +ENTRYPOINT [ "bash", "-c" ] diff --git a/.devops/main.Dockerfile b/.devops/main.Dockerfile new file mode 100644 index 00000000000..f923a9063d8 --- /dev/null +++ b/.devops/main.Dockerfile @@ -0,0 +1,19 @@ +FROM ubuntu:22.04 AS build +WORKDIR /app + +RUN apt-get update && \ + apt-get install -y build-essential \ + && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/* + +COPY .. . +RUN make + +FROM ubuntu:22.04 AS runtime +WORKDIR /app + +RUN apt-get update && \ + apt-get install -y curl ffmpeg \ + && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/* + +COPY --from=build /app /app +ENTRYPOINT [ "bash", "-c" ] diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 5d254a7ea05..ae6c4ce9b45 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -117,7 +117,6 @@ jobs: -w /workspace ${{ env.ubuntu_image }} /bin/sh -c ' set -e apt update - apt install -y clang apt install -y clang build-essential cmake libsdl2-dev cmake . -DWHISPER_SDL2=ON -DCMAKE_BUILD_TYPE=${{ matrix.build }} -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_COMPILER=clang make @@ -167,7 +166,7 @@ jobs: s2arc: x64 jnaPath: win32-x86-64 - sdl2: ON - s2ver: 2.26.0 + s2ver: 2.28.5 steps: - name: Clone @@ -224,11 +223,14 @@ jobs: - arch: Win32 obzip: https://github.com/OpenMathLib/OpenBLAS/releases/download/v0.3.25/OpenBLAS-0.3.25-x86.zip s2arc: x86 + clblast: OFF - arch: x64 obzip: https://github.com/OpenMathLib/OpenBLAS/releases/download/v0.3.25/OpenBLAS-0.3.25-x64.zip s2arc: x64 + clblast: ON + clver: 1.6.1 - sdl2: ON - s2ver: 2.26.0 + s2ver: 2.28.5 steps: - name: Clone @@ -253,6 +255,18 @@ jobs: 7z x sdl2.zip echo "SDL2_DIR=$env:GITHUB_WORKSPACE/SDL2-${{ matrix.s2ver }}/cmake" >> $env:GITHUB_ENV + - name: Install OpenCL + if: matrix.clblast == 'ON' + run: vcpkg.exe --triplet=${{ matrix.arch }}-windows install opencl + + - name: Fetch CLBlast and set CLBlast_DIR + if: matrix.clblast == 'ON' + run: | + C:/msys64/usr/bin/wget.exe -qO clblast.zip https://github.com/CNugteren/CLBlast/releases/download/${{ matrix.clver }}/CLBlast-${{ matrix.clver }}-windows-x64.zip + 7z x clblast.zip + 7z x CLBlast-${{ matrix.clver }}-windows-x64.7z + echo "CLBlast_DIR=$env:GITHUB_WORKSPACE/CLBlast-${{ matrix.clver }}-windows-x64/lib/cmake/CLBlast" >> $env:GITHUB_ENV + - name: Configure run: > cmake -S . -B ./build -A ${{ matrix.arch }} @@ -260,6 +274,7 @@ jobs: -DWHISPER_OPENBLAS=${{ matrix.blas }} -DCMAKE_LIBRARY_PATH="$env:OPENBLAS_PATH/lib" -DWHISPER_SDL2=${{ matrix.sdl2 }} + -DWHISPER_CLBLAST=${{ matrix.clblast }} - name: Build run: | @@ -274,11 +289,15 @@ jobs: if: matrix.sdl2 == 'ON' run: copy "$env:SDL2_DIR/../lib/${{ matrix.s2arc }}/SDL2.dll" build/bin/${{ matrix.build }} + - name: Copy clblast.dll + if: matrix.clblast == 'ON' + run: copy "$env:CLBlast_DIR/../../clblast.dll" build/bin/${{ matrix.build }} + - name: Upload binaries if: matrix.blas == 'ON' && matrix.sdl2 == 'ON' uses: actions/upload-artifact@v1 with: - name: whisper-blas-bin-${{ matrix.arch }} + name: whisper-blas${{ matrix.clblast == 'ON' && '-clblast' || ''}}-bin-${{ matrix.arch }} path: build/bin/${{ matrix.build }} windows-cublas: @@ -295,7 +314,7 @@ jobs: - arch: x64 s2arc: x64 - sdl2: ON - s2ver: 2.26.0 + s2ver: 2.28.5 steps: - name: Clone @@ -321,7 +340,8 @@ jobs: run: > cmake -S . -B ./build -A ${{ matrix.arch }} -DCMAKE_BUILD_TYPE=${{ matrix.build }} - -DWHISPER_CUBLAS=1 + -DWHISPER_CUBLAS=${{ matrix.cublas }} + -DWHISPER_SDL2=${{ matrix.sdl2 }} - name: Build ${{ matrix.cuda-toolkit }} run: | diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml new file mode 100644 index 00000000000..c5a80f269ef --- /dev/null +++ b/.github/workflows/docker.yml @@ -0,0 +1,57 @@ +name: Publish Docker image + +on: + pull_request: + push: + branches: + - master + +jobs: + push_to_registry: + name: Push Docker image to Docker Hub + if: github.event.pull_request.draft == false + + runs-on: ubuntu-latest + env: + COMMIT_SHA: ${{ github.sha }} + strategy: + matrix: + config: + - { tag: "main", dockerfile: ".devops/main.Dockerfile", platform: "linux/amd64,linux/arm64" } + - { tag: "main-cuda", dockerfile: ".devops/main-cuda.Dockerfile", platform: "linux/amd64" } + + steps: + - name: Check out the repo + uses: actions/checkout@v3 + + - name: Set up QEMU + uses: docker/setup-qemu-action@v3 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Log in to Docker Hub + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.repository_owner }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push Docker image (versioned) + if: github.event_name == 'push' + uses: docker/build-push-action@v5 + with: + context: . + push: true + platforms: ${{ matrix.config.platforms }} + tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}-${{ env.COMMIT_SHA }}" + file: ${{ matrix.config.dockerfile }} + + - name: Build and push Docker image (tagged) + uses: docker/build-push-action@v4 + with: + context: . + push: ${{ github.event_name == 'push' }} + platforms: ${{ matrix.config.platforms }} + tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}" + file: ${{ matrix.config.dockerfile }} diff --git a/CMakeLists.txt b/CMakeLists.txt index b6d8aac982e..8b338cbc4f8 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -1,6 +1,6 @@ cmake_minimum_required (VERSION 3.5) -project(whisper.cpp VERSION 1.5.1) +project(whisper.cpp VERSION 1.5.2) # Add path to modules list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/") @@ -218,11 +218,17 @@ if (WHISPER_CUBLAS) add_compile_definitions(GGML_USE_CUBLAS) if (WHISPER_STATIC) - set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static) + if (WIN32) + # As of 12.3.1 CUDA Tookit for Windows does not offer a static cublas library + set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas CUDA::cublasLt) + else () + set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static) + endif() else() set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt) endif() + set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cuda_driver) else() message(FATAL_ERROR "cuBLAS not found") endif() @@ -338,8 +344,8 @@ else() endif() else() if (EMSCRIPTEN) - set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -pthread") - set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread") + set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -pthread -s TOTAL_STACK=5242880") + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread -s TOTAL_STACK=5242880") else() if(NOT WHISPER_NO_AVX) set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx") @@ -521,7 +527,13 @@ endif() if (GGML_SOURCES_CUDA) message(STATUS "GGML CUDA sources found, configuring CUDA architecture") - set_property(TARGET whisper PROPERTY CUDA_ARCHITECTURES OFF) + # Only configure gmml CUDA architectures is not globally set + if (NOT DEFINED GGML_CUDA_ARCHITECTURES) + # Not overriden by user, so set defaults + set(GGML_CUDA_ARCHITECTURES 52 61 70) + endif() + message(STATUS "GGML Configuring CUDA architectures ${GGML_CUDA_ARCHITECTURES}") + set_property(TARGET whisper PROPERTY CUDA_ARCHITECTURES ${GGML_CUDA_ARCHITECTURES}) set_property(TARGET whisper PROPERTY CUDA_SELECT_NVCC_ARCH_FLAGS "Auto") endif() diff --git a/Makefile b/Makefile index b83f3d0f93c..752f33a2319 100644 --- a/Makefile +++ b/Makefile @@ -206,7 +206,7 @@ ifdef WHISPER_CUBLAS CFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include CXXFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include - LDFLAGS += -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib + LDFLAGS += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib WHISPER_OBJ += ggml-cuda.o NVCC = nvcc NVCCFLAGS = --forward-unknown-to-host-compiler -arch=$(CUDA_ARCH_FLAG) diff --git a/Package.swift b/Package.swift index 5022b413d1a..bbb7fb03b99 100644 --- a/Package.swift +++ b/Package.swift @@ -2,33 +2,14 @@ import PackageDescription -#if arch(arm) || arch(arm64) -let platforms: [SupportedPlatform]? = [ - .macOS(.v12), - .iOS(.v14), - .watchOS(.v4), - .tvOS(.v14) -] -let exclude: [String] = [] -let resources: [Resource] = [ - .process("ggml-metal.metal") -] -let additionalSources: [String] = ["ggml-metal.m"] -let additionalSettings: [CSetting] = [ - .unsafeFlags(["-fno-objc-arc"]), - .define("GGML_USE_METAL") -] -#else -let platforms: [SupportedPlatform]? = nil -let exclude: [String] = ["ggml-metal.metal"] -let resources: [Resource] = [] -let additionalSources: [String] = [] -let additionalSettings: [CSetting] = [] -#endif - let package = Package( name: "whisper", - platforms: platforms, + platforms: [ + .macOS(.v12), + .iOS(.v14), + .watchOS(.v4), + .tvOS(.v14) + ], products: [ .library(name: "whisper", targets: ["whisper"]), ], @@ -36,7 +17,7 @@ let package = Package( .target( name: "whisper", path: ".", - exclude: exclude + [ + exclude: [ "bindings", "cmake", "coreml", @@ -55,19 +36,22 @@ let package = Package( "whisper.cpp", "ggml-alloc.c", "ggml-backend.c", - "ggml-quants.c" - ] + additionalSources, - resources: resources, + "ggml-quants.c", + "ggml-metal.m" + ], + resources: [.process("ggml-metal.metal")], publicHeadersPath: "spm-headers", cSettings: [ .unsafeFlags(["-Wno-shorten-64-to-32", "-O3", "-DNDEBUG"]), - .define("GGML_USE_ACCELERATE") + .define("GGML_USE_ACCELERATE"), + .unsafeFlags(["-fno-objc-arc"]), + .define("GGML_USE_METAL") // NOTE: NEW_LAPACK will required iOS version 16.4+ // We should consider add this in the future when we drop support for iOS 14 // (ref: ref: https://developer.apple.com/documentation/accelerate/1513264-cblas_sgemm?language=objc) // .define("ACCELERATE_NEW_LAPACK"), // .define("ACCELERATE_LAPACK_ILP64") - ] + additionalSettings, + ], linkerSettings: [ .linkedFramework("Accelerate") ] diff --git a/README.md b/README.md index a01d53a056b..225d17ccb01 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ [![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![npm](https://img.shields.io/npm/v/whisper.cpp.svg)](https://www.npmjs.com/package/whisper.cpp/) -Stable: [v1.5.1](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.5.1) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126) +Stable: [v1.5.2](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.5.2) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126) High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisper) automatic speech recognition (ASR) model: @@ -33,6 +33,7 @@ Supported platforms: - [x] [WebAssembly](examples/whisper.wasm) - [x] Windows ([MSVC](https://github.com/ggerganov/whisper.cpp/blob/master/.github/workflows/build.yml#L117-L144) and [MinGW](https://github.com/ggerganov/whisper.cpp/issues/168)] - [x] [Raspberry Pi](https://github.com/ggerganov/whisper.cpp/discussions/166) +- [x] [docker](https://github.com/ggerganov/whisper.cpp/pkgs/container/whisper.cpp) The entire high-level implementation of the model is contained in [whisper.h](whisper.h) and [whisper.cpp](whisper.cpp). The rest of the code is part of the [ggml](https://github.com/ggerganov/ggml) machine learning library. @@ -448,6 +449,36 @@ make clean WHISPER_OPENBLAS=1 make -j ``` +## Docker + +### Prerequisites +* Docker must be installed and running on your system. +* Create a folder to store big models & intermediate files (ex. /whisper/models) + +### Images +We have two Docker images available for this project: + +1. `ghcr.io/ggerganov/whisper.cpp:main`: This image includes the main executable file as well as `curl` and `ffmpeg`. (platforms: `linux/amd64`, `linux/arm64`) +2. `ghcr.io/ggerganov/whisper.cpp:main-cuda`: Same as `main` but compiled with CUDA support. (platforms: `linux/amd64`) + +### Usage + +```shell +# download model and persist it in a local folder +docker run -it --rm \ + -v path/to/models:/models \ + whisper.cpp:main "./models/download-ggml-model.sh base /models" +# transcribe an audio file +docker run -it --rm \ + -v path/to/models:/models \ + -v path/to/audios:/audios \ + whisper.cpp:main "./main -m /models/ggml-base.bin -f /audios/jfk.wav" +# transcribe an audio file in samples folder +docker run -it --rm \ + -v path/to/models:/models \ + whisper.cpp:main "./main -m /models/ggml-base.bin -f ./samples/jfk.wav" +``` + ## Limitations - Inference only @@ -770,6 +801,7 @@ Some of the examples are even ported to run in the browser using WebAssembly. Ch | [bench](examples/bench) | [bench.wasm](examples/bench.wasm) | Benchmark the performance of Whisper on your machine | | [stream](examples/stream) | [stream.wasm](examples/stream.wasm) | Real-time transcription of raw microphone capture | | [command](examples/command) | [command.wasm](examples/command.wasm) | Basic voice assistant example for receiving voice commands from the mic | +| [wchess](examples/wchess) | [wchess.wasm](examples/wchess) | Voice-controlled chess | | [talk](examples/talk) | [talk.wasm](examples/talk.wasm) | Talk with a GPT-2 bot | | [talk-llama](examples/talk-llama) | | Talk with a LLaMA bot | | [whisper.objc](examples/whisper.objc) | | iOS mobile application using whisper.cpp | diff --git a/bindings/ios b/bindings/ios index db6b353a38b..88c28eb833f 160000 --- a/bindings/ios +++ b/bindings/ios @@ -1 +1 @@ -Subproject commit db6b353a38be49f94d78d630e4d13c68ba3e6957 +Subproject commit 88c28eb833fcbbb9c4b1d0d9a196c670bfc3173f diff --git a/bindings/javascript/package.json b/bindings/javascript/package.json index 2bc6f6f2d13..2445896b51e 100644 --- a/bindings/javascript/package.json +++ b/bindings/javascript/package.json @@ -1,6 +1,6 @@ { "name": "whisper.cpp", - "version": "1.5.1", + "version": "1.5.2", "description": "Whisper speech recognition", "main": "whisper.js", "scripts": { diff --git a/bindings/javascript/whisper.js b/bindings/javascript/whisper.js index 5dcd5e66efc..77dd85552f4 100644 --- a/bindings/javascript/whisper.js +++ b/bindings/javascript/whisper.js @@ -5,7 +5,7 @@ var whisper_factory = (() => { return ( function(moduleArg = {}) { -function GROWABLE_HEAP_I8(){if(wasmMemory.buffer!=HEAP8.buffer){updateMemoryViews()}return HEAP8}function GROWABLE_HEAP_U8(){if(wasmMemory.buffer!=HEAP8.buffer){updateMemoryViews()}return HEAPU8}function GROWABLE_HEAP_I16(){if(wasmMemory.buffer!=HEAP8.buffer){updateMemoryViews()}return HEAP16}function GROWABLE_HEAP_U16(){if(wasmMemory.buffer!=HEAP8.buffer){updateMemoryViews()}return HEAPU16}function GROWABLE_HEAP_I32(){if(wasmMemory.buffer!=HEAP8.buffer){updateMemoryViews()}return HEAP32}function GROWABLE_HEAP_U32(){if(wasmMemory.buffer!=HEAP8.buffer){updateMemoryViews()}return HEAPU32}function GROWABLE_HEAP_F32(){if(wasmMemory.buffer!=HEAP8.buffer){updateMemoryViews()}return HEAPF32}function GROWABLE_HEAP_F64(){if(wasmMemory.buffer!=HEAP8.buffer){updateMemoryViews()}return HEAPF64}var Module=moduleArg;var readyPromiseResolve,readyPromiseReject;Module["ready"]=new Promise((resolve,reject)=>{readyPromiseResolve=resolve;readyPromiseReject=reject});var moduleOverrides=Object.assign({},Module);var arguments_=[];var thisProgram="./this.program";var quit_=(status,toThrow)=>{throw toThrow};var ENVIRONMENT_IS_WEB=typeof window=="object";var ENVIRONMENT_IS_WORKER=typeof importScripts=="function";var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";var ENVIRONMENT_IS_PTHREAD=Module["ENVIRONMENT_IS_PTHREAD"]||false;var scriptDirectory="";function locateFile(path){if(Module["locateFile"]){return Module["locateFile"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;if(ENVIRONMENT_IS_NODE){var fs=require("fs");var nodePath=require("path");if(ENVIRONMENT_IS_WORKER){scriptDirectory=nodePath.dirname(scriptDirectory)+"/"}else{scriptDirectory=__dirname+"/"}read_=(filename,binary)=>{filename=isFileURI(filename)?new URL(filename):nodePath.normalize(filename);return fs.readFileSync(filename,binary?undefined:"utf8")};readBinary=filename=>{var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}return ret};readAsync=(filename,onload,onerror,binary=true)=>{filename=isFileURI(filename)?new URL(filename):nodePath.normalize(filename);fs.readFile(filename,binary?undefined:"utf8",(err,data)=>{if(err)onerror(err);else onload(binary?data.buffer:data)})};if(!Module["thisProgram"]&&process.argv.length>1){thisProgram=process.argv[1].replace(/\\/g,"/")}arguments_=process.argv.slice(2);quit_=(status,toThrow)=>{process.exitCode=status;throw toThrow};Module["inspect"]=()=>"[Emscripten Module object]";let nodeWorkerThreads;try{nodeWorkerThreads=require("worker_threads")}catch(e){console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?');throw e}global.Worker=nodeWorkerThreads.Worker}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WORKER){scriptDirectory=self.location.href}else if(typeof document!="undefined"&&document.currentScript){scriptDirectory=document.currentScript.src}if(_scriptDir){scriptDirectory=_scriptDir}if(scriptDirectory.indexOf("blob:")!==0){scriptDirectory=scriptDirectory.substr(0,scriptDirectory.replace(/[?#].*/,"").lastIndexOf("/")+1)}else{scriptDirectory=""}if(!ENVIRONMENT_IS_NODE){read_=url=>{var xhr=new XMLHttpRequest;xhr.open("GET",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){readBinary=url=>{var xhr=new XMLHttpRequest;xhr.open("GET",url,false);xhr.responseType="arraybuffer";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=(url,onload,onerror)=>{var xhr=new XMLHttpRequest;xhr.open("GET",url,true);xhr.responseType="arraybuffer";xhr.onload=()=>{if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=title=>document.title=title}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance=="undefined"){global.performance=require("perf_hooks").performance}}var defaultPrint=console.log.bind(console);var defaultPrintErr=console.error.bind(console);if(ENVIRONMENT_IS_NODE){defaultPrint=(...args)=>fs.writeSync(1,args.join(" ")+"\n");defaultPrintErr=(...args)=>fs.writeSync(2,args.join(" ")+"\n")}var out=Module["print"]||defaultPrint;var err=Module["printErr"]||defaultPrintErr;Object.assign(Module,moduleOverrides);moduleOverrides=null;if(Module["arguments"])arguments_=Module["arguments"];if(Module["thisProgram"])thisProgram=Module["thisProgram"];if(Module["quit"])quit_=Module["quit"];var wasmBinary;if(Module["wasmBinary"])wasmBinary=Module["wasmBinary"];var noExitRuntime=Module["noExitRuntime"]||true;if(typeof WebAssembly!="object"){abort("no native wasm support detected")}var wasmMemory;var wasmModule;var ABORT=false;var EXITSTATUS;function assert(condition,text){if(!condition){abort(text)}}var HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateMemoryViews(){var b=wasmMemory.buffer;Module["HEAP8"]=HEAP8=new Int8Array(b);Module["HEAP16"]=HEAP16=new Int16Array(b);Module["HEAPU8"]=HEAPU8=new Uint8Array(b);Module["HEAPU16"]=HEAPU16=new Uint16Array(b);Module["HEAP32"]=HEAP32=new Int32Array(b);Module["HEAPU32"]=HEAPU32=new Uint32Array(b);Module["HEAPF32"]=HEAPF32=new Float32Array(b);Module["HEAPF64"]=HEAPF64=new Float64Array(b)}var INITIAL_MEMORY=Module["INITIAL_MEMORY"]||16777216;assert(INITIAL_MEMORY>=65536,"INITIAL_MEMORY should be larger than STACK_SIZE, was "+INITIAL_MEMORY+"! (STACK_SIZE="+65536+")");if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module["wasmMemory"]}else{if(Module["wasmMemory"]){wasmMemory=Module["wasmMemory"]}else{wasmMemory=new WebAssembly.Memory({"initial":INITIAL_MEMORY/65536,"maximum":2147483648/65536,"shared":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag");if(ENVIRONMENT_IS_NODE){err("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)")}throw Error("bad memory")}}}updateMemoryViews();INITIAL_MEMORY=wasmMemory.buffer.byteLength;var wasmTable;var __ATPRERUN__=[];var __ATINIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;var runtimeKeepaliveCounter=0;function keepRuntimeAlive(){return noExitRuntime||runtimeKeepaliveCounter>0}function preRun(){if(Module["preRun"]){if(typeof Module["preRun"]=="function")Module["preRun"]=[Module["preRun"]];while(Module["preRun"].length){addOnPreRun(Module["preRun"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;if(ENVIRONMENT_IS_PTHREAD)return;if(!Module["noFSInit"]&&!FS.init.initialized)FS.init();FS.ignorePermissions=false;TTY.init();callRuntimeCallbacks(__ATINIT__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module["postRun"]){if(typeof Module["postRun"]=="function")Module["postRun"]=[Module["postRun"]];while(Module["postRun"].length){addOnPostRun(Module["postRun"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnInit(cb){__ATINIT__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function getUniqueRunDependency(id){return id}function addRunDependency(id){runDependencies++;if(Module["monitorRunDependencies"]){Module["monitorRunDependencies"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module["monitorRunDependencies"]){Module["monitorRunDependencies"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}function abort(what){if(Module["onAbort"]){Module["onAbort"](what)}what="Aborted("+what+")";err(what);ABORT=true;EXITSTATUS=1;what+=". Build with -sASSERTIONS for more info.";var e=new WebAssembly.RuntimeError(what);readyPromiseReject(e);throw e}var dataURIPrefix="data:application/octet-stream;base64,";function isDataURI(filename){return filename.startsWith(dataURIPrefix)}function isFileURI(filename){return filename.startsWith("file://")}var 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PThread.pthreads[pthread_ptr];terminateWorker(worker);__emscripten_thread_free_data(pthread_ptr);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);worker.pthread_ptr=0};var cancelThread=pthread_ptr=>{var worker=PThread.pthreads[pthread_ptr];worker.postMessage({"cmd":"cancel"})};var cleanupThread=pthread_ptr=>{var worker=PThread.pthreads[pthread_ptr];assert(worker);PThread.returnWorkerToPool(worker)};var spawnThread=threadParams=>{var worker=PThread.getNewWorker();if(!worker){return 6}PThread.runningWorkers.push(worker);PThread.pthreads[threadParams.pthread_ptr]=worker;worker.pthread_ptr=threadParams.pthread_ptr;var msg={"cmd":"run","start_routine":threadParams.startRoutine,"arg":threadParams.arg,"pthread_ptr":threadParams.pthread_ptr};if(ENVIRONMENT_IS_NODE){worker.unref()}worker.postMessage(msg,threadParams.transferList);return 0};var PATH={isAbs:path=>path.charAt(0)==="/",splitPath:filename=>{var splitPathRe=/^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:(parts,allowAboveRoot)=>{var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last==="."){parts.splice(i,1)}else if(last===".."){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift("..")}}return parts},normalize:path=>{var isAbsolute=PATH.isAbs(path),trailingSlash=path.substr(-1)==="/";path=PATH.normalizeArray(path.split("/").filter(p=>!!p),!isAbsolute).join("/");if(!path&&!isAbsolute){path="."}if(path&&trailingSlash){path+="/"}return(isAbsolute?"/":"")+path},dirname:path=>{var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return"."}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:path=>{if(path==="/")return"/";path=PATH.normalize(path);path=path.replace(/\/$/,"");var lastSlash=path.lastIndexOf("/");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},join:function(){var paths=Array.prototype.slice.call(arguments);return PATH.normalize(paths.join("/"))},join2:(l,r)=>PATH.normalize(l+"/"+r)};var initRandomFill=()=>{if(typeof crypto=="object"&&typeof crypto["getRandomValues"]=="function"){return view=>(view.set(crypto.getRandomValues(new Uint8Array(view.byteLength))),view)}else if(ENVIRONMENT_IS_NODE){try{var crypto_module=require("crypto");var randomFillSync=crypto_module["randomFillSync"];if(randomFillSync){return view=>crypto_module["randomFillSync"](view)}var randomBytes=crypto_module["randomBytes"];return view=>(view.set(randomBytes(view.byteLength)),view)}catch(e){}}abort("initRandomDevice")};var randomFill=view=>(randomFill=initRandomFill())(view);var PATH_FS={resolve:function(){var resolvedPath="",resolvedAbsolute=false;for(var i=arguments.length-1;i>=-1&&!resolvedAbsolute;i--){var path=i>=0?arguments[i]:FS.cwd();if(typeof path!="string"){throw new TypeError("Arguments to path.resolve must be strings")}else if(!path){return""}resolvedPath=path+"/"+resolvedPath;resolvedAbsolute=PATH.isAbs(path)}resolvedPath=PATH.normalizeArray(resolvedPath.split("/").filter(p=>!!p),!resolvedAbsolute).join("/");return(resolvedAbsolute?"/":"")+resolvedPath||"."},relative:(from,to)=>{from=PATH_FS.resolve(from).substr(1);to=PATH_FS.resolve(to).substr(1);function trim(arr){var start=0;for(;start=0;end--){if(arr[end]!=="")break}if(start>end)return[];return arr.slice(start,end-start+1)}var fromParts=trim(from.split("/"));var toParts=trim(to.split("/"));var length=Math.min(fromParts.length,toParts.length);var samePartsLength=length;for(var i=0;i{var endIdx=idx+maxBytesToRead;var endPtr=idx;while(heapOrArray[endPtr]&&!(endPtr>=endIdx))++endPtr;if(endPtr-idx>16&&heapOrArray.buffer&&UTF8Decoder){return UTF8Decoder.decode(heapOrArray.buffer instanceof SharedArrayBuffer?heapOrArray.slice(idx,endPtr):heapOrArray.subarray(idx,endPtr))}var str="";while(idx>10,56320|ch&1023)}}return str};var FS_stdin_getChar_buffer=[];var lengthBytesUTF8=str=>{var len=0;for(var i=0;i=55296&&c<=57343){len+=4;++i}else{len+=3}}return len};var stringToUTF8Array=(str,heap,outIdx,maxBytesToWrite)=>{if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx};function intArrayFromString(stringy,dontAddNull,length){var len=length>0?length:lengthBytesUTF8(stringy)+1;var u8array=new Array(len);var numBytesWritten=stringToUTF8Array(stringy,u8array,0,u8array.length);if(dontAddNull)u8array.length=numBytesWritten;return u8array}var FS_stdin_getChar=()=>{if(!FS_stdin_getChar_buffer.length){var result=null;if(ENVIRONMENT_IS_NODE){var BUFSIZE=256;var buf=Buffer.alloc(BUFSIZE);var bytesRead=0;var fd=process.stdin.fd;try{bytesRead=fs.readSync(fd,buf)}catch(e){if(e.toString().includes("EOF"))bytesRead=0;else throw e}if(bytesRead>0){result=buf.slice(0,bytesRead).toString("utf-8")}else{result=null}}else if(typeof window!="undefined"&&typeof window.prompt=="function"){result=window.prompt("Input: ");if(result!==null){result+="\n"}}else if(typeof readline=="function"){result=readline();if(result!==null){result+="\n"}}if(!result){return null}FS_stdin_getChar_buffer=intArrayFromString(result,true)}return FS_stdin_getChar_buffer.shift()};var TTY={ttys:[],init(){},shutdown(){},register(dev,ops){TTY.ttys[dev]={input:[],output:[],ops:ops};FS.registerDevice(dev,TTY.stream_ops)},stream_ops:{open(stream){var tty=TTY.ttys[stream.node.rdev];if(!tty){throw new FS.ErrnoError(43)}stream.tty=tty;stream.seekable=false},close(stream){stream.tty.ops.fsync(stream.tty)},fsync(stream){stream.tty.ops.fsync(stream.tty)},read(stream,buffer,offset,length,pos){if(!stream.tty||!stream.tty.ops.get_char){throw new FS.ErrnoError(60)}var bytesRead=0;for(var i=0;i0){out(UTF8ArrayToString(tty.output,0));tty.output=[]}},ioctl_tcgets(tty){return{c_iflag:25856,c_oflag:5,c_cflag:191,c_lflag:35387,c_cc:[3,28,127,21,4,0,1,0,17,19,26,0,18,15,23,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}},ioctl_tcsets(tty,optional_actions,data){return 0},ioctl_tiocgwinsz(tty){return[24,80]}},default_tty1_ops:{put_char(tty,val){if(val===null||val===10){err(UTF8ArrayToString(tty.output,0));tty.output=[]}else{if(val!=0)tty.output.push(val)}},fsync(tty){if(tty.output&&tty.output.length>0){err(UTF8ArrayToString(tty.output,0));tty.output=[]}}}};var mmapAlloc=size=>{abort()};var MEMFS={ops_table:null,mount(mount){return MEMFS.createNode(null,"/",16384|511,0)},createNode(parent,name,mode,dev){if(FS.isBlkdev(mode)||FS.isFIFO(mode)){throw new FS.ErrnoError(63)}if(!MEMFS.ops_table){MEMFS.ops_table={dir:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,lookup:MEMFS.node_ops.lookup,mknod:MEMFS.node_ops.mknod,rename:MEMFS.node_ops.rename,unlink:MEMFS.node_ops.unlink,rmdir:MEMFS.node_ops.rmdir,readdir:MEMFS.node_ops.readdir,symlink:MEMFS.node_ops.symlink},stream:{llseek:MEMFS.stream_ops.llseek}},file:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:{llseek:MEMFS.stream_ops.llseek,read:MEMFS.stream_ops.read,write:MEMFS.stream_ops.write,allocate:MEMFS.stream_ops.allocate,mmap:MEMFS.stream_ops.mmap,msync:MEMFS.stream_ops.msync}},link:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,readlink:MEMFS.node_ops.readlink},stream:{}},chrdev:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:FS.chrdev_stream_ops}}}var node=FS.createNode(parent,name,mode,dev);if(FS.isDir(node.mode)){node.node_ops=MEMFS.ops_table.dir.node;node.stream_ops=MEMFS.ops_table.dir.stream;node.contents={}}else if(FS.isFile(node.mode)){node.node_ops=MEMFS.ops_table.file.node;node.stream_ops=MEMFS.ops_table.file.stream;node.usedBytes=0;node.contents=null}else if(FS.isLink(node.mode)){node.node_ops=MEMFS.ops_table.link.node;node.stream_ops=MEMFS.ops_table.link.stream}else if(FS.isChrdev(node.mode)){node.node_ops=MEMFS.ops_table.chrdev.node;node.stream_ops=MEMFS.ops_table.chrdev.stream}node.timestamp=Date.now();if(parent){parent.contents[name]=node;parent.timestamp=node.timestamp}return node},getFileDataAsTypedArray(node){if(!node.contents)return new Uint8Array(0);if(node.contents.subarray)return node.contents.subarray(0,node.usedBytes);return new Uint8Array(node.contents)},expandFileStorage(node,newCapacity){var prevCapacity=node.contents?node.contents.length:0;if(prevCapacity>=newCapacity)return;var CAPACITY_DOUBLING_MAX=1024*1024;newCapacity=Math.max(newCapacity,prevCapacity*(prevCapacity>>0);if(prevCapacity!=0)newCapacity=Math.max(newCapacity,256);var oldContents=node.contents;node.contents=new Uint8Array(newCapacity);if(node.usedBytes>0)node.contents.set(oldContents.subarray(0,node.usedBytes),0)},resizeFileStorage(node,newSize){if(node.usedBytes==newSize)return;if(newSize==0){node.contents=null;node.usedBytes=0}else{var oldContents=node.contents;node.contents=new Uint8Array(newSize);if(oldContents){node.contents.set(oldContents.subarray(0,Math.min(newSize,node.usedBytes)))}node.usedBytes=newSize}},node_ops:{getattr(node){var attr={};attr.dev=FS.isChrdev(node.mode)?node.id:1;attr.ino=node.id;attr.mode=node.mode;attr.nlink=1;attr.uid=0;attr.gid=0;attr.rdev=node.rdev;if(FS.isDir(node.mode)){attr.size=4096}else if(FS.isFile(node.mode)){attr.size=node.usedBytes}else if(FS.isLink(node.mode)){attr.size=node.link.length}else{attr.size=0}attr.atime=new Date(node.timestamp);attr.mtime=new Date(node.timestamp);attr.ctime=new Date(node.timestamp);attr.blksize=4096;attr.blocks=Math.ceil(attr.size/attr.blksize);return attr},setattr(node,attr){if(attr.mode!==undefined){node.mode=attr.mode}if(attr.timestamp!==undefined){node.timestamp=attr.timestamp}if(attr.size!==undefined){MEMFS.resizeFileStorage(node,attr.size)}},lookup(parent,name){throw FS.genericErrors[44]},mknod(parent,name,mode,dev){return MEMFS.createNode(parent,name,mode,dev)},rename(old_node,new_dir,new_name){if(FS.isDir(old_node.mode)){var new_node;try{new_node=FS.lookupNode(new_dir,new_name)}catch(e){}if(new_node){for(var i in new_node.contents){throw new FS.ErrnoError(55)}}}delete old_node.parent.contents[old_node.name];old_node.parent.timestamp=Date.now();old_node.name=new_name;new_dir.contents[new_name]=old_node;new_dir.timestamp=old_node.parent.timestamp;old_node.parent=new_dir},unlink(parent,name){delete parent.contents[name];parent.timestamp=Date.now()},rmdir(parent,name){var node=FS.lookupNode(parent,name);for(var i in node.contents){throw new FS.ErrnoError(55)}delete parent.contents[name];parent.timestamp=Date.now()},readdir(node){var entries=[".",".."];for(var key in node.contents){if(!node.contents.hasOwnProperty(key)){continue}entries.push(key)}return entries},symlink(parent,newname,oldpath){var node=MEMFS.createNode(parent,newname,511|40960,0);node.link=oldpath;return node},readlink(node){if(!FS.isLink(node.mode)){throw new FS.ErrnoError(28)}return node.link}},stream_ops:{read(stream,buffer,offset,length,position){var contents=stream.node.contents;if(position>=stream.node.usedBytes)return 0;var size=Math.min(stream.node.usedBytes-position,length);if(size>8&&contents.subarray){buffer.set(contents.subarray(position,position+size),offset)}else{for(var i=0;i0||position+length{var dep=!noRunDep?getUniqueRunDependency(`al ${url}`):"";readAsync(url,arrayBuffer=>{assert(arrayBuffer,`Loading data file "${url}" failed (no arrayBuffer).`);onload(new Uint8Array(arrayBuffer));if(dep)removeRunDependency(dep)},event=>{if(onerror){onerror()}else{throw`Loading data file "${url}" failed.`}});if(dep)addRunDependency(dep)};var preloadPlugins=Module["preloadPlugins"]||[];var FS_handledByPreloadPlugin=(byteArray,fullname,finish,onerror)=>{if(typeof Browser!="undefined")Browser.init();var handled=false;preloadPlugins.forEach(plugin=>{if(handled)return;if(plugin["canHandle"](fullname)){plugin["handle"](byteArray,fullname,finish,onerror);handled=true}});return handled};var FS_createPreloadedFile=(parent,name,url,canRead,canWrite,onload,onerror,dontCreateFile,canOwn,preFinish)=>{var fullname=name?PATH_FS.resolve(PATH.join2(parent,name)):parent;var dep=getUniqueRunDependency(`cp ${fullname}`);function processData(byteArray){function finish(byteArray){if(preFinish)preFinish();if(!dontCreateFile){FS.createDataFile(parent,name,byteArray,canRead,canWrite,canOwn)}if(onload)onload();removeRunDependency(dep)}if(FS_handledByPreloadPlugin(byteArray,fullname,finish,()=>{if(onerror)onerror();removeRunDependency(dep)})){return}finish(byteArray)}addRunDependency(dep);if(typeof url=="string"){asyncLoad(url,byteArray=>processData(byteArray),onerror)}else{processData(url)}};var FS_modeStringToFlags=str=>{var flagModes={"r":0,"r+":2,"w":512|64|1,"w+":512|64|2,"a":1024|64|1,"a+":1024|64|2};var flags=flagModes[str];if(typeof flags=="undefined"){throw new Error(`Unknown file open mode: ${str}`)}return flags};var FS_getMode=(canRead,canWrite)=>{var mode=0;if(canRead)mode|=292|73;if(canWrite)mode|=146;return mode};var FS={root:null,mounts:[],devices:{},streams:[],nextInode:1,nameTable:null,currentPath:"/",initialized:false,ignorePermissions:true,ErrnoError:null,genericErrors:{},filesystems:null,syncFSRequests:0,lookupPath(path,opts={}){path=PATH_FS.resolve(path);if(!path)return{path:"",node:null};var defaults={follow_mount:true,recurse_count:0};opts=Object.assign(defaults,opts);if(opts.recurse_count>8){throw new FS.ErrnoError(32)}var parts=path.split("/").filter(p=>!!p);var current=FS.root;var current_path="/";for(var i=0;i40){throw new FS.ErrnoError(32)}}}}return{path:current_path,node:current}},getPath(node){var path;while(true){if(FS.isRoot(node)){var mount=node.mount.mountpoint;if(!path)return mount;return mount[mount.length-1]!=="/"?`${mount}/${path}`:mount+path}path=path?`${node.name}/${path}`:node.name;node=node.parent}},hashName(parentid,name){var hash=0;for(var i=0;i>>0)%FS.nameTable.length},hashAddNode(node){var hash=FS.hashName(node.parent.id,node.name);node.name_next=FS.nameTable[hash];FS.nameTable[hash]=node},hashRemoveNode(node){var hash=FS.hashName(node.parent.id,node.name);if(FS.nameTable[hash]===node){FS.nameTable[hash]=node.name_next}else{var current=FS.nameTable[hash];while(current){if(current.name_next===node){current.name_next=node.name_next;break}current=current.name_next}}},lookupNode(parent,name){var errCode=FS.mayLookup(parent);if(errCode){throw new FS.ErrnoError(errCode,parent)}var hash=FS.hashName(parent.id,name);for(var node=FS.nameTable[hash];node;node=node.name_next){var nodeName=node.name;if(node.parent.id===parent.id&&nodeName===name){return node}}return FS.lookup(parent,name)},createNode(parent,name,mode,rdev){var node=new FS.FSNode(parent,name,mode,rdev);FS.hashAddNode(node);return node},destroyNode(node){FS.hashRemoveNode(node)},isRoot(node){return node===node.parent},isMountpoint(node){return!!node.mounted},isFile(mode){return(mode&61440)===32768},isDir(mode){return(mode&61440)===16384},isLink(mode){return(mode&61440)===40960},isChrdev(mode){return(mode&61440)===8192},isBlkdev(mode){return(mode&61440)===24576},isFIFO(mode){return(mode&61440)===4096},isSocket(mode){return(mode&49152)===49152},flagsToPermissionString(flag){var perms=["r","w","rw"][flag&3];if(flag&512){perms+="w"}return perms},nodePermissions(node,perms){if(FS.ignorePermissions){return 0}if(perms.includes("r")&&!(node.mode&292)){return 2}else if(perms.includes("w")&&!(node.mode&146)){return 2}else if(perms.includes("x")&&!(node.mode&73)){return 2}return 0},mayLookup(dir){var errCode=FS.nodePermissions(dir,"x");if(errCode)return errCode;if(!dir.node_ops.lookup)return 2;return 0},mayCreate(dir,name){try{var node=FS.lookupNode(dir,name);return 20}catch(e){}return FS.nodePermissions(dir,"wx")},mayDelete(dir,name,isdir){var node;try{node=FS.lookupNode(dir,name)}catch(e){return e.errno}var errCode=FS.nodePermissions(dir,"wx");if(errCode){return errCode}if(isdir){if(!FS.isDir(node.mode)){return 54}if(FS.isRoot(node)||FS.getPath(node)===FS.cwd()){return 10}}else{if(FS.isDir(node.mode)){return 31}}return 0},mayOpen(node,flags){if(!node){return 44}if(FS.isLink(node.mode)){return 32}else if(FS.isDir(node.mode)){if(FS.flagsToPermissionString(flags)!=="r"||flags&512){return 31}}return FS.nodePermissions(node,FS.flagsToPermissionString(flags))},MAX_OPEN_FDS:4096,nextfd(){for(var fd=0;fd<=FS.MAX_OPEN_FDS;fd++){if(!FS.streams[fd]){return fd}}throw new FS.ErrnoError(33)},getStreamChecked(fd){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(8)}return stream},getStream:fd=>FS.streams[fd],createStream(stream,fd=-1){if(!FS.FSStream){FS.FSStream=function(){this.shared={}};FS.FSStream.prototype={};Object.defineProperties(FS.FSStream.prototype,{object:{get(){return this.node},set(val){this.node=val}},isRead:{get(){return(this.flags&2097155)!==1}},isWrite:{get(){return(this.flags&2097155)!==0}},isAppend:{get(){return this.flags&1024}},flags:{get(){return this.shared.flags},set(val){this.shared.flags=val}},position:{get(){return this.shared.position},set(val){this.shared.position=val}}})}stream=Object.assign(new FS.FSStream,stream);if(fd==-1){fd=FS.nextfd()}stream.fd=fd;FS.streams[fd]=stream;return stream},closeStream(fd){FS.streams[fd]=null},chrdev_stream_ops:{open(stream){var device=FS.getDevice(stream.node.rdev);stream.stream_ops=device.stream_ops;if(stream.stream_ops.open){stream.stream_ops.open(stream)}},llseek(){throw new FS.ErrnoError(70)}},major:dev=>dev>>8,minor:dev=>dev&255,makedev:(ma,mi)=>ma<<8|mi,registerDevice(dev,ops){FS.devices[dev]={stream_ops:ops}},getDevice:dev=>FS.devices[dev],getMounts(mount){var mounts=[];var check=[mount];while(check.length){var m=check.pop();mounts.push(m);check.push.apply(check,m.mounts)}return mounts},syncfs(populate,callback){if(typeof populate=="function"){callback=populate;populate=false}FS.syncFSRequests++;if(FS.syncFSRequests>1){err(`warning: ${FS.syncFSRequests} FS.syncfs operations in flight at once, probably just doing extra work`)}var mounts=FS.getMounts(FS.root.mount);var completed=0;function doCallback(errCode){FS.syncFSRequests--;return callback(errCode)}function done(errCode){if(errCode){if(!done.errored){done.errored=true;return doCallback(errCode)}return}if(++completed>=mounts.length){doCallback(null)}}mounts.forEach(mount=>{if(!mount.type.syncfs){return done(null)}mount.type.syncfs(mount,populate,done)})},mount(type,opts,mountpoint){var root=mountpoint==="/";var pseudo=!mountpoint;var node;if(root&&FS.root){throw new FS.ErrnoError(10)}else if(!root&&!pseudo){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});mountpoint=lookup.path;node=lookup.node;if(FS.isMountpoint(node)){throw new FS.ErrnoError(10)}if(!FS.isDir(node.mode)){throw new FS.ErrnoError(54)}}var mount={type:type,opts:opts,mountpoint:mountpoint,mounts:[]};var mountRoot=type.mount(mount);mountRoot.mount=mount;mount.root=mountRoot;if(root){FS.root=mountRoot}else if(node){node.mounted=mount;if(node.mount){node.mount.mounts.push(mount)}}return mountRoot},unmount(mountpoint){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});if(!FS.isMountpoint(lookup.node)){throw new FS.ErrnoError(28)}var node=lookup.node;var mount=node.mounted;var mounts=FS.getMounts(mount);Object.keys(FS.nameTable).forEach(hash=>{var current=FS.nameTable[hash];while(current){var next=current.name_next;if(mounts.includes(current.mount)){FS.destroyNode(current)}current=next}});node.mounted=null;var idx=node.mount.mounts.indexOf(mount);node.mount.mounts.splice(idx,1)},lookup(parent,name){return parent.node_ops.lookup(parent,name)},mknod(path,mode,dev){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);if(!name||name==="."||name===".."){throw new FS.ErrnoError(28)}var errCode=FS.mayCreate(parent,name);if(errCode){throw new FS.ErrnoError(errCode)}if(!parent.node_ops.mknod){throw new FS.ErrnoError(63)}return parent.node_ops.mknod(parent,name,mode,dev)},create(path,mode){mode=mode!==undefined?mode:438;mode&=4095;mode|=32768;return FS.mknod(path,mode,0)},mkdir(path,mode){mode=mode!==undefined?mode:511;mode&=511|512;mode|=16384;return FS.mknod(path,mode,0)},mkdirTree(path,mode){var dirs=path.split("/");var d="";for(var i=0;i0,ioctl(stream,cmd,arg){if(!stream.stream_ops.ioctl){throw new FS.ErrnoError(59)}return stream.stream_ops.ioctl(stream,cmd,arg)},readFile(path,opts={}){opts.flags=opts.flags||0;opts.encoding=opts.encoding||"binary";if(opts.encoding!=="utf8"&&opts.encoding!=="binary"){throw new Error(`Invalid encoding type "${opts.encoding}"`)}var ret;var stream=FS.open(path,opts.flags);var stat=FS.stat(path);var length=stat.size;var buf=new Uint8Array(length);FS.read(stream,buf,0,length,0);if(opts.encoding==="utf8"){ret=UTF8ArrayToString(buf,0)}else if(opts.encoding==="binary"){ret=buf}FS.close(stream);return ret},writeFile(path,data,opts={}){opts.flags=opts.flags||577;var stream=FS.open(path,opts.flags,opts.mode);if(typeof data=="string"){var buf=new Uint8Array(lengthBytesUTF8(data)+1);var actualNumBytes=stringToUTF8Array(data,buf,0,buf.length);FS.write(stream,buf,0,actualNumBytes,undefined,opts.canOwn)}else if(ArrayBuffer.isView(data)){FS.write(stream,data,0,data.byteLength,undefined,opts.canOwn)}else{throw new Error("Unsupported data type")}FS.close(stream)},cwd:()=>FS.currentPath,chdir(path){var lookup=FS.lookupPath(path,{follow:true});if(lookup.node===null){throw new FS.ErrnoError(44)}if(!FS.isDir(lookup.node.mode)){throw new FS.ErrnoError(54)}var errCode=FS.nodePermissions(lookup.node,"x");if(errCode){throw new FS.ErrnoError(errCode)}FS.currentPath=lookup.path},createDefaultDirectories(){FS.mkdir("/tmp");FS.mkdir("/home");FS.mkdir("/home/web_user")},createDefaultDevices(){FS.mkdir("/dev");FS.registerDevice(FS.makedev(1,3),{read:()=>0,write:(stream,buffer,offset,length,pos)=>length});FS.mkdev("/dev/null",FS.makedev(1,3));TTY.register(FS.makedev(5,0),TTY.default_tty_ops);TTY.register(FS.makedev(6,0),TTY.default_tty1_ops);FS.mkdev("/dev/tty",FS.makedev(5,0));FS.mkdev("/dev/tty1",FS.makedev(6,0));var randomBuffer=new Uint8Array(1024),randomLeft=0;var randomByte=()=>{if(randomLeft===0){randomLeft=randomFill(randomBuffer).byteLength}return randomBuffer[--randomLeft]};FS.createDevice("/dev","random",randomByte);FS.createDevice("/dev","urandom",randomByte);FS.mkdir("/dev/shm");FS.mkdir("/dev/shm/tmp")},createSpecialDirectories(){FS.mkdir("/proc");var proc_self=FS.mkdir("/proc/self");FS.mkdir("/proc/self/fd");FS.mount({mount(){var node=FS.createNode(proc_self,"fd",16384|511,73);node.node_ops={lookup(parent,name){var fd=+name;var stream=FS.getStreamChecked(fd);var ret={parent:null,mount:{mountpoint:"fake"},node_ops:{readlink:()=>stream.path}};ret.parent=ret;return ret}};return node}},{},"/proc/self/fd")},createStandardStreams(){if(Module["stdin"]){FS.createDevice("/dev","stdin",Module["stdin"])}else{FS.symlink("/dev/tty","/dev/stdin")}if(Module["stdout"]){FS.createDevice("/dev","stdout",null,Module["stdout"])}else{FS.symlink("/dev/tty","/dev/stdout")}if(Module["stderr"]){FS.createDevice("/dev","stderr",null,Module["stderr"])}else{FS.symlink("/dev/tty1","/dev/stderr")}var stdin=FS.open("/dev/stdin",0);var stdout=FS.open("/dev/stdout",1);var stderr=FS.open("/dev/stderr",1)},ensureErrnoError(){if(FS.ErrnoError)return;FS.ErrnoError=function ErrnoError(errno,node){this.name="ErrnoError";this.node=node;this.setErrno=function(errno){this.errno=errno};this.setErrno(errno);this.message="FS error"};FS.ErrnoError.prototype=new Error;FS.ErrnoError.prototype.constructor=FS.ErrnoError;[44].forEach(code=>{FS.genericErrors[code]=new FS.ErrnoError(code);FS.genericErrors[code].stack=""})},staticInit(){FS.ensureErrnoError();FS.nameTable=new Array(4096);FS.mount(MEMFS,{},"/");FS.createDefaultDirectories();FS.createDefaultDevices();FS.createSpecialDirectories();FS.filesystems={"MEMFS":MEMFS}},init(input,output,error){FS.init.initialized=true;FS.ensureErrnoError();Module["stdin"]=input||Module["stdin"];Module["stdout"]=output||Module["stdout"];Module["stderr"]=error||Module["stderr"];FS.createStandardStreams()},quit(){FS.init.initialized=false;for(var i=0;ithis.length-1||idx<0){return undefined}var chunkOffset=idx%this.chunkSize;var chunkNum=idx/this.chunkSize|0;return this.getter(chunkNum)[chunkOffset]};LazyUint8Array.prototype.setDataGetter=function LazyUint8Array_setDataGetter(getter){this.getter=getter};LazyUint8Array.prototype.cacheLength=function LazyUint8Array_cacheLength(){var xhr=new XMLHttpRequest;xhr.open("HEAD",url,false);xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error("Couldn't load "+url+". Status: "+xhr.status);var datalength=Number(xhr.getResponseHeader("Content-length"));var header;var hasByteServing=(header=xhr.getResponseHeader("Accept-Ranges"))&&header==="bytes";var usesGzip=(header=xhr.getResponseHeader("Content-Encoding"))&&header==="gzip";var chunkSize=1024*1024;if(!hasByteServing)chunkSize=datalength;var doXHR=(from,to)=>{if(from>to)throw new Error("invalid range ("+from+", "+to+") or no bytes requested!");if(to>datalength-1)throw new Error("only "+datalength+" bytes available! programmer error!");var xhr=new XMLHttpRequest;xhr.open("GET",url,false);if(datalength!==chunkSize)xhr.setRequestHeader("Range","bytes="+from+"-"+to);xhr.responseType="arraybuffer";if(xhr.overrideMimeType){xhr.overrideMimeType("text/plain; charset=x-user-defined")}xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error("Couldn't load "+url+". Status: "+xhr.status);if(xhr.response!==undefined){return new Uint8Array(xhr.response||[])}return intArrayFromString(xhr.responseText||"",true)};var lazyArray=this;lazyArray.setDataGetter(chunkNum=>{var start=chunkNum*chunkSize;var end=(chunkNum+1)*chunkSize-1;end=Math.min(end,datalength-1);if(typeof lazyArray.chunks[chunkNum]=="undefined"){lazyArray.chunks[chunkNum]=doXHR(start,end)}if(typeof lazyArray.chunks[chunkNum]=="undefined")throw new Error("doXHR failed!");return lazyArray.chunks[chunkNum]});if(usesGzip||!datalength){chunkSize=datalength=1;datalength=this.getter(0).length;chunkSize=datalength;out("LazyFiles on gzip forces download of the whole file when length is accessed")}this._length=datalength;this._chunkSize=chunkSize;this.lengthKnown=true};if(typeof XMLHttpRequest!="undefined"){if(!ENVIRONMENT_IS_WORKER)throw"Cannot do synchronous binary XHRs outside webworkers in modern browsers. Use --embed-file or --preload-file in emcc";var lazyArray=new LazyUint8Array;Object.defineProperties(lazyArray,{length:{get:function(){if(!this.lengthKnown){this.cacheLength()}return this._length}},chunkSize:{get:function(){if(!this.lengthKnown){this.cacheLength()}return this._chunkSize}}});var properties={isDevice:false,contents:lazyArray}}else{var properties={isDevice:false,url:url}}var node=FS.createFile(parent,name,properties,canRead,canWrite);if(properties.contents){node.contents=properties.contents}else if(properties.url){node.contents=null;node.url=properties.url}Object.defineProperties(node,{usedBytes:{get:function(){return this.contents.length}}});var stream_ops={};var keys=Object.keys(node.stream_ops);keys.forEach(key=>{var fn=node.stream_ops[key];stream_ops[key]=function forceLoadLazyFile(){FS.forceLoadFile(node);return fn.apply(null,arguments)}});function writeChunks(stream,buffer,offset,length,position){var contents=stream.node.contents;if(position>=contents.length)return 0;var size=Math.min(contents.length-position,length);if(contents.slice){for(var i=0;i{FS.forceLoadFile(node);return writeChunks(stream,buffer,offset,length,position)};stream_ops.mmap=(stream,length,position,prot,flags)=>{FS.forceLoadFile(node);var ptr=mmapAlloc(length);if(!ptr){throw new FS.ErrnoError(48)}writeChunks(stream,GROWABLE_HEAP_I8(),ptr,length,position);return{ptr:ptr,allocated:true}};node.stream_ops=stream_ops;return node}};var UTF8ToString=(ptr,maxBytesToRead)=>ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):"";var SYSCALLS={DEFAULT_POLLMASK:5,calculateAt(dirfd,path,allowEmpty){if(PATH.isAbs(path)){return path}var dir;if(dirfd===-100){dir=FS.cwd()}else{var dirstream=SYSCALLS.getStreamFromFD(dirfd);dir=dirstream.path}if(path.length==0){if(!allowEmpty){throw new FS.ErrnoError(44)}return dir}return PATH.join2(dir,path)},doStat(func,path,buf){try{var stat=func(path)}catch(e){if(e&&e.node&&PATH.normalize(path)!==PATH.normalize(FS.getPath(e.node))){return-54}throw e}GROWABLE_HEAP_I32()[buf>>2]=stat.dev;GROWABLE_HEAP_I32()[buf+4>>2]=stat.mode;GROWABLE_HEAP_U32()[buf+8>>2]=stat.nlink;GROWABLE_HEAP_I32()[buf+12>>2]=stat.uid;GROWABLE_HEAP_I32()[buf+16>>2]=stat.gid;GROWABLE_HEAP_I32()[buf+20>>2]=stat.rdev;tempI64=[stat.size>>>0,(tempDouble=stat.size,+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+24>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+28>>2]=tempI64[1];GROWABLE_HEAP_I32()[buf+32>>2]=4096;GROWABLE_HEAP_I32()[buf+36>>2]=stat.blocks;var atime=stat.atime.getTime();var mtime=stat.mtime.getTime();var ctime=stat.ctime.getTime();tempI64=[Math.floor(atime/1e3)>>>0,(tempDouble=Math.floor(atime/1e3),+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+40>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+44>>2]=tempI64[1];GROWABLE_HEAP_U32()[buf+48>>2]=atime%1e3*1e3;tempI64=[Math.floor(mtime/1e3)>>>0,(tempDouble=Math.floor(mtime/1e3),+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+56>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+60>>2]=tempI64[1];GROWABLE_HEAP_U32()[buf+64>>2]=mtime%1e3*1e3;tempI64=[Math.floor(ctime/1e3)>>>0,(tempDouble=Math.floor(ctime/1e3),+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+72>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+76>>2]=tempI64[1];GROWABLE_HEAP_U32()[buf+80>>2]=ctime%1e3*1e3;tempI64=[stat.ino>>>0,(tempDouble=stat.ino,+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+88>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+92>>2]=tempI64[1];return 0},doMsync(addr,stream,len,flags,offset){if(!FS.isFile(stream.node.mode)){throw new FS.ErrnoError(43)}if(flags&2){return 0}var buffer=GROWABLE_HEAP_U8().slice(addr,addr+len);FS.msync(stream,buffer,offset,len,flags)},varargs:undefined,get(){var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs>>2];SYSCALLS.varargs+=4;return ret},getp(){return SYSCALLS.get()},getStr(ptr){var ret=UTF8ToString(ptr);return ret},getStreamFromFD(fd){var stream=FS.getStreamChecked(fd);return stream}};function _proc_exit(code){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(0,1,code);EXITSTATUS=code;if(!keepRuntimeAlive()){PThread.terminateAllThreads();if(Module["onExit"])Module["onExit"](code);ABORT=true}quit_(code,new ExitStatus(code))}var exitJS=(status,implicit)=>{EXITSTATUS=status;if(ENVIRONMENT_IS_PTHREAD){exitOnMainThread(status);throw"unwind"}_proc_exit(status)};var _exit=exitJS;var handleException=e=>{if(e instanceof ExitStatus||e=="unwind"){return EXITSTATUS}quit_(1,e)};var PThread={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init(){if(ENVIRONMENT_IS_PTHREAD){PThread.initWorker()}else{PThread.initMainThread()}},initMainThread(){var pthreadPoolSize=8;while(pthreadPoolSize--){PThread.allocateUnusedWorker()}addOnPreRun(()=>{addRunDependency("loading-workers");PThread.loadWasmModuleToAllWorkers(()=>removeRunDependency("loading-workers"))})},initWorker(){noExitRuntime=false},setExitStatus:status=>{EXITSTATUS=status},terminateAllThreads__deps:["$terminateWorker"],terminateAllThreads:()=>{for(var worker of PThread.runningWorkers){terminateWorker(worker)}for(var worker of PThread.unusedWorkers){terminateWorker(worker)}PThread.unusedWorkers=[];PThread.runningWorkers=[];PThread.pthreads=[]},returnWorkerToPool:worker=>{var pthread_ptr=worker.pthread_ptr;delete PThread.pthreads[pthread_ptr];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);worker.pthread_ptr=0;__emscripten_thread_free_data(pthread_ptr)},receiveObjectTransfer(data){},threadInitTLS(){PThread.tlsInitFunctions.forEach(f=>f())},loadWasmModuleToWorker:worker=>new Promise(onFinishedLoading=>{worker.onmessage=e=>{var d=e["data"];var cmd=d["cmd"];if(d["targetThread"]&&d["targetThread"]!=_pthread_self()){var targetWorker=PThread.pthreads[d["targetThread"]];if(targetWorker){targetWorker.postMessage(d,d["transferList"])}else{err(`Internal error! Worker sent a message "${cmd}" to target pthread ${d["targetThread"]}, but that thread no longer exists!`)}return}if(cmd==="checkMailbox"){checkMailbox()}else if(cmd==="spawnThread"){spawnThread(d)}else if(cmd==="cleanupThread"){cleanupThread(d["thread"])}else if(cmd==="killThread"){killThread(d["thread"])}else if(cmd==="cancelThread"){cancelThread(d["thread"])}else if(cmd==="loaded"){worker.loaded=true;if(ENVIRONMENT_IS_NODE&&!worker.pthread_ptr){worker.unref()}onFinishedLoading(worker)}else if(cmd==="alert"){alert(`Thread ${d["threadId"]}: ${d["text"]}`)}else if(d.target==="setimmediate"){worker.postMessage(d)}else if(cmd==="callHandler"){Module[d["handler"]](...d["args"])}else if(cmd){err(`worker sent an unknown command ${cmd}`)}};worker.onerror=e=>{var message="worker sent an error!";err(`${message} ${e.filename}:${e.lineno}: ${e.message}`);throw e};if(ENVIRONMENT_IS_NODE){worker.on("message",data=>worker.onmessage({data:data}));worker.on("error",e=>worker.onerror(e))}var handlers=[];var knownHandlers=["onExit","onAbort","print","printErr"];for(var handler of knownHandlers){if(Module.hasOwnProperty(handler)){handlers.push(handler)}}worker.postMessage({"cmd":"load","handlers":handlers,"urlOrBlob":Module["mainScriptUrlOrBlob"]||_scriptDir,"wasmMemory":wasmMemory,"wasmModule":wasmModule})}),loadWasmModuleToAllWorkers(onMaybeReady){if(ENVIRONMENT_IS_PTHREAD){return onMaybeReady()}let pthreadPoolReady=Promise.all(PThread.unusedWorkers.map(PThread.loadWasmModuleToWorker));pthreadPoolReady.then(onMaybeReady)},allocateUnusedWorker(){var worker;var pthreadMainJs=locateFile("libwhisper.worker.js");worker=new Worker(pthreadMainJs);PThread.unusedWorkers.push(worker)},getNewWorker(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}return PThread.unusedWorkers.pop()}};Module["PThread"]=PThread;var callRuntimeCallbacks=callbacks=>{while(callbacks.length>0){callbacks.shift()(Module)}};var establishStackSpace=()=>{var pthread_ptr=_pthread_self();var stackHigh=GROWABLE_HEAP_I32()[pthread_ptr+52>>2];var stackSize=GROWABLE_HEAP_I32()[pthread_ptr+56>>2];var stackLow=stackHigh-stackSize;_emscripten_stack_set_limits(stackHigh,stackLow);stackRestore(stackHigh)};Module["establishStackSpace"]=establishStackSpace;function exitOnMainThread(returnCode){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(1,0,returnCode);_exit(returnCode)}var wasmTableMirror=[];var getWasmTableEntry=funcPtr=>{var func=wasmTableMirror[funcPtr];if(!func){if(funcPtr>=wasmTableMirror.length)wasmTableMirror.length=funcPtr+1;wasmTableMirror[funcPtr]=func=wasmTable.get(funcPtr)}return func};var invokeEntryPoint=(ptr,arg)=>{var result=getWasmTableEntry(ptr)(arg);function finish(result){if(keepRuntimeAlive()){PThread.setExitStatus(result)}else{__emscripten_thread_exit(result)}}finish(result)};Module["invokeEntryPoint"]=invokeEntryPoint;var registerTLSInit=tlsInitFunc=>{PThread.tlsInitFunctions.push(tlsInitFunc)};function ExceptionInfo(excPtr){this.excPtr=excPtr;this.ptr=excPtr-24;this.set_type=function(type){GROWABLE_HEAP_U32()[this.ptr+4>>2]=type};this.get_type=function(){return GROWABLE_HEAP_U32()[this.ptr+4>>2]};this.set_destructor=function(destructor){GROWABLE_HEAP_U32()[this.ptr+8>>2]=destructor};this.get_destructor=function(){return GROWABLE_HEAP_U32()[this.ptr+8>>2]};this.set_caught=function(caught){caught=caught?1:0;GROWABLE_HEAP_I8()[this.ptr+12>>0]=caught};this.get_caught=function(){return GROWABLE_HEAP_I8()[this.ptr+12>>0]!=0};this.set_rethrown=function(rethrown){rethrown=rethrown?1:0;GROWABLE_HEAP_I8()[this.ptr+13>>0]=rethrown};this.get_rethrown=function(){return GROWABLE_HEAP_I8()[this.ptr+13>>0]!=0};this.init=function(type,destructor){this.set_adjusted_ptr(0);this.set_type(type);this.set_destructor(destructor)};this.set_adjusted_ptr=function(adjustedPtr){GROWABLE_HEAP_U32()[this.ptr+16>>2]=adjustedPtr};this.get_adjusted_ptr=function(){return GROWABLE_HEAP_U32()[this.ptr+16>>2]};this.get_exception_ptr=function(){var isPointer=___cxa_is_pointer_type(this.get_type());if(isPointer){return GROWABLE_HEAP_U32()[this.excPtr>>2]}var adjusted=this.get_adjusted_ptr();if(adjusted!==0)return adjusted;return this.excPtr}}var exceptionLast=0;var uncaughtExceptionCount=0;var ___cxa_throw=(ptr,type,destructor)=>{var info=new ExceptionInfo(ptr);info.init(type,destructor);exceptionLast=ptr;uncaughtExceptionCount++;throw exceptionLast};var ___emscripten_init_main_thread_js=tb=>{__emscripten_thread_init(tb,!ENVIRONMENT_IS_WORKER,1,!ENVIRONMENT_IS_WEB,65536,false);PThread.threadInitTLS()};var ___emscripten_thread_cleanup=thread=>{if(!ENVIRONMENT_IS_PTHREAD)cleanupThread(thread);else postMessage({"cmd":"cleanupThread","thread":thread})};function pthreadCreateProxied(pthread_ptr,attr,startRoutine,arg){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(2,1,pthread_ptr,attr,startRoutine,arg);return ___pthread_create_js(pthread_ptr,attr,startRoutine,arg)}var ___pthread_create_js=(pthread_ptr,attr,startRoutine,arg)=>{if(typeof SharedArrayBuffer=="undefined"){err("Current environment does not support SharedArrayBuffer, pthreads are not available!");return 6}var transferList=[];var error=0;if(ENVIRONMENT_IS_PTHREAD&&(transferList.length===0||error)){return pthreadCreateProxied(pthread_ptr,attr,startRoutine,arg)}if(error)return error;var threadParams={startRoutine:startRoutine,pthread_ptr:pthread_ptr,arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd="spawnThread";postMessage(threadParams,transferList);return 0}return spawnThread(threadParams)};var setErrNo=value=>{GROWABLE_HEAP_I32()[___errno_location()>>2]=value;return value};function ___syscall_fcntl64(fd,cmd,varargs){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(3,1,fd,cmd,varargs);SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(fd);switch(cmd){case 0:{var arg=SYSCALLS.get();if(arg<0){return-28}while(FS.streams[arg]){arg++}var newStream;newStream=FS.createStream(stream,arg);return newStream.fd}case 1:case 2:return 0;case 3:return stream.flags;case 4:{var arg=SYSCALLS.get();stream.flags|=arg;return 0}case 5:{var arg=SYSCALLS.getp();var offset=0;GROWABLE_HEAP_I16()[arg+offset>>1]=2;return 0}case 6:case 7:return 0;case 16:case 8:return-28;case 9:setErrNo(28);return-1;default:{return-28}}}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return-e.errno}}function ___syscall_ioctl(fd,op,varargs){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(4,1,fd,op,varargs);SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(fd);switch(op){case 21509:{if(!stream.tty)return-59;return 0}case 21505:{if(!stream.tty)return-59;if(stream.tty.ops.ioctl_tcgets){var termios=stream.tty.ops.ioctl_tcgets(stream);var argp=SYSCALLS.getp();GROWABLE_HEAP_I32()[argp>>2]=termios.c_iflag||0;GROWABLE_HEAP_I32()[argp+4>>2]=termios.c_oflag||0;GROWABLE_HEAP_I32()[argp+8>>2]=termios.c_cflag||0;GROWABLE_HEAP_I32()[argp+12>>2]=termios.c_lflag||0;for(var i=0;i<32;i++){GROWABLE_HEAP_I8()[argp+i+17>>0]=termios.c_cc[i]||0}return 0}return 0}case 21510:case 21511:case 21512:{if(!stream.tty)return-59;return 0}case 21506:case 21507:case 21508:{if(!stream.tty)return-59;if(stream.tty.ops.ioctl_tcsets){var argp=SYSCALLS.getp();var c_iflag=GROWABLE_HEAP_I32()[argp>>2];var c_oflag=GROWABLE_HEAP_I32()[argp+4>>2];var c_cflag=GROWABLE_HEAP_I32()[argp+8>>2];var c_lflag=GROWABLE_HEAP_I32()[argp+12>>2];var c_cc=[];for(var i=0;i<32;i++){c_cc.push(GROWABLE_HEAP_I8()[argp+i+17>>0])}return stream.tty.ops.ioctl_tcsets(stream.tty,op,{c_iflag:c_iflag,c_oflag:c_oflag,c_cflag:c_cflag,c_lflag:c_lflag,c_cc:c_cc})}return 0}case 21519:{if(!stream.tty)return-59;var argp=SYSCALLS.getp();GROWABLE_HEAP_I32()[argp>>2]=0;return 0}case 21520:{if(!stream.tty)return-59;return-28}case 21531:{var argp=SYSCALLS.getp();return FS.ioctl(stream,op,argp)}case 21523:{if(!stream.tty)return-59;if(stream.tty.ops.ioctl_tiocgwinsz){var winsize=stream.tty.ops.ioctl_tiocgwinsz(stream.tty);var argp=SYSCALLS.getp();GROWABLE_HEAP_I16()[argp>>1]=winsize[0];GROWABLE_HEAP_I16()[argp+2>>1]=winsize[1]}return 0}case 21524:{if(!stream.tty)return-59;return 0}case 21515:{if(!stream.tty)return-59;return 0}default:return-28}}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return-e.errno}}function ___syscall_openat(dirfd,path,flags,varargs){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(5,1,dirfd,path,flags,varargs);SYSCALLS.varargs=varargs;try{path=SYSCALLS.getStr(path);path=SYSCALLS.calculateAt(dirfd,path);var mode=varargs?SYSCALLS.get():0;return FS.open(path,flags,mode).fd}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return-e.errno}}var __embind_register_bigint=(primitiveType,name,size,minRange,maxRange)=>{};var embind_init_charCodes=()=>{var codes=new Array(256);for(var i=0;i<256;++i){codes[i]=String.fromCharCode(i)}embind_charCodes=codes};var embind_charCodes=undefined;var readLatin1String=ptr=>{var ret="";var c=ptr;while(GROWABLE_HEAP_U8()[c]){ret+=embind_charCodes[GROWABLE_HEAP_U8()[c++]]}return ret};var awaitingDependencies={};var registeredTypes={};var typeDependencies={};var BindingError=undefined;var throwBindingError=message=>{throw new BindingError(message)};var InternalError=undefined;var throwInternalError=message=>{throw new InternalError(message)};var whenDependentTypesAreResolved=(myTypes,dependentTypes,getTypeConverters)=>{myTypes.forEach(function(type){typeDependencies[type]=dependentTypes});function onComplete(typeConverters){var myTypeConverters=getTypeConverters(typeConverters);if(myTypeConverters.length!==myTypes.length){throwInternalError("Mismatched type converter count")}for(var i=0;i{if(registeredTypes.hasOwnProperty(dt)){typeConverters[i]=registeredTypes[dt]}else{unregisteredTypes.push(dt);if(!awaitingDependencies.hasOwnProperty(dt)){awaitingDependencies[dt]=[]}awaitingDependencies[dt].push(()=>{typeConverters[i]=registeredTypes[dt];++registered;if(registered===unregisteredTypes.length){onComplete(typeConverters)}})}});if(0===unregisteredTypes.length){onComplete(typeConverters)}};function sharedRegisterType(rawType,registeredInstance,options={}){var name=registeredInstance.name;if(!rawType){throwBindingError(`type "${name}" must have a positive integer typeid pointer`)}if(registeredTypes.hasOwnProperty(rawType)){if(options.ignoreDuplicateRegistrations){return}else{throwBindingError(`Cannot register type '${name}' twice`)}}registeredTypes[rawType]=registeredInstance;delete typeDependencies[rawType];if(awaitingDependencies.hasOwnProperty(rawType)){var callbacks=awaitingDependencies[rawType];delete awaitingDependencies[rawType];callbacks.forEach(cb=>cb())}}function registerType(rawType,registeredInstance,options={}){if(!("argPackAdvance"in registeredInstance)){throw new TypeError("registerType registeredInstance requires argPackAdvance")}return sharedRegisterType(rawType,registeredInstance,options)}var GenericWireTypeSize=8;var __embind_register_bool=(rawType,name,trueValue,falseValue)=>{name=readLatin1String(name);registerType(rawType,{name:name,"fromWireType":function(wt){return!!wt},"toWireType":function(destructors,o){return o?trueValue:falseValue},"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":function(pointer){return this["fromWireType"](GROWABLE_HEAP_U8()[pointer])},destructorFunction:null})};function handleAllocatorInit(){Object.assign(HandleAllocator.prototype,{get(id){return this.allocated[id]},has(id){return this.allocated[id]!==undefined},allocate(handle){var id=this.freelist.pop()||this.allocated.length;this.allocated[id]=handle;return id},free(id){this.allocated[id]=undefined;this.freelist.push(id)}})}function HandleAllocator(){this.allocated=[undefined];this.freelist=[]}var emval_handles=new HandleAllocator;var __emval_decref=handle=>{if(handle>=emval_handles.reserved&&0===--emval_handles.get(handle).refcount){emval_handles.free(handle)}};var count_emval_handles=()=>{var count=0;for(var i=emval_handles.reserved;i{emval_handles.allocated.push({value:undefined},{value:null},{value:true},{value:false});emval_handles.reserved=emval_handles.allocated.length;Module["count_emval_handles"]=count_emval_handles};var Emval={toValue:handle=>{if(!handle){throwBindingError("Cannot use deleted val. handle = "+handle)}return emval_handles.get(handle).value},toHandle:value=>{switch(value){case undefined:return 1;case null:return 2;case true:return 3;case false:return 4;default:{return emval_handles.allocate({refcount:1,value:value})}}}};function simpleReadValueFromPointer(pointer){return this["fromWireType"](GROWABLE_HEAP_I32()[pointer>>2])}var __embind_register_emval=(rawType,name)=>{name=readLatin1String(name);registerType(rawType,{name:name,"fromWireType":handle=>{var rv=Emval.toValue(handle);__emval_decref(handle);return rv},"toWireType":(destructors,value)=>Emval.toHandle(value),"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":simpleReadValueFromPointer,destructorFunction:null})};var floatReadValueFromPointer=(name,width)=>{switch(width){case 4:return function(pointer){return this["fromWireType"](GROWABLE_HEAP_F32()[pointer>>2])};case 8:return function(pointer){return this["fromWireType"](GROWABLE_HEAP_F64()[pointer>>3])};default:throw new TypeError(`invalid float width (${width}): ${name}`)}};var __embind_register_float=(rawType,name,size)=>{name=readLatin1String(name);registerType(rawType,{name:name,"fromWireType":value=>value,"toWireType":(destructors,value)=>value,"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":floatReadValueFromPointer(name,size),destructorFunction:null})};var char_0=48;var char_9=57;var makeLegalFunctionName=name=>{if(undefined===name){return"_unknown"}name=name.replace(/[^a-zA-Z0-9_]/g,"$");var f=name.charCodeAt(0);if(f>=char_0&&f<=char_9){return`_${name}`}return name};var runDestructors=destructors=>{while(destructors.length){var ptr=destructors.pop();var del=destructors.pop();del(ptr)}};function createNamedFunction(name,body){name=makeLegalFunctionName(name);return{[name]:function(){return body.apply(this,arguments)}}[name]}function newFunc(constructor,argumentList){if(!(constructor instanceof Function)){throw new TypeError(`new_ called with constructor type ${typeof constructor} which is not a function`)}var dummy=createNamedFunction(constructor.name||"unknownFunctionName",function(){});dummy.prototype=constructor.prototype;var obj=new dummy;var r=constructor.apply(obj,argumentList);return r instanceof Object?r:obj}function craftInvokerFunction(humanName,argTypes,classType,cppInvokerFunc,cppTargetFunc,isAsync){var argCount=argTypes.length;if(argCount<2){throwBindingError("argTypes array size mismatch! Must at least get return value and 'this' types!")}var isClassMethodFunc=argTypes[1]!==null&&classType!==null;var needsDestructorStack=false;for(var i=1;i0?", ":"")+argsListWired}invokerFnBody+=(returns||isAsync?"var rv = ":"")+"invoker(fn"+(argsListWired.length>0?", ":"")+argsListWired+");\n";if(needsDestructorStack){invokerFnBody+="runDestructors(destructors);\n"}else{for(var i=isClassMethodFunc?1:2;i{if(undefined===proto[methodName].overloadTable){var prevFunc=proto[methodName];proto[methodName]=function(){if(!proto[methodName].overloadTable.hasOwnProperty(arguments.length)){throwBindingError(`Function '${humanName}' called with an invalid number of arguments (${arguments.length}) - expects one of (${proto[methodName].overloadTable})!`)}return proto[methodName].overloadTable[arguments.length].apply(this,arguments)};proto[methodName].overloadTable=[];proto[methodName].overloadTable[prevFunc.argCount]=prevFunc}};var exposePublicSymbol=(name,value,numArguments)=>{if(Module.hasOwnProperty(name)){if(undefined===numArguments||undefined!==Module[name].overloadTable&&undefined!==Module[name].overloadTable[numArguments]){throwBindingError(`Cannot register public name '${name}' twice`)}ensureOverloadTable(Module,name,name);if(Module.hasOwnProperty(numArguments)){throwBindingError(`Cannot register multiple overloads of a function with the same number of arguments (${numArguments})!`)}Module[name].overloadTable[numArguments]=value}else{Module[name]=value;if(undefined!==numArguments){Module[name].numArguments=numArguments}}};var heap32VectorToArray=(count,firstElement)=>{var array=[];for(var i=0;i>2])}return array};var replacePublicSymbol=(name,value,numArguments)=>{if(!Module.hasOwnProperty(name)){throwInternalError("Replacing nonexistant public symbol")}if(undefined!==Module[name].overloadTable&&undefined!==numArguments){Module[name].overloadTable[numArguments]=value}else{Module[name]=value;Module[name].argCount=numArguments}};var dynCallLegacy=(sig,ptr,args)=>{var f=Module["dynCall_"+sig];return args&&args.length?f.apply(null,[ptr].concat(args)):f.call(null,ptr)};var dynCall=(sig,ptr,args)=>{if(sig.includes("j")){return dynCallLegacy(sig,ptr,args)}var rtn=getWasmTableEntry(ptr).apply(null,args);return rtn};var getDynCaller=(sig,ptr)=>{var argCache=[];return function(){argCache.length=0;Object.assign(argCache,arguments);return dynCall(sig,ptr,argCache)}};var embind__requireFunction=(signature,rawFunction)=>{signature=readLatin1String(signature);function makeDynCaller(){if(signature.includes("j")){return getDynCaller(signature,rawFunction)}return getWasmTableEntry(rawFunction)}var fp=makeDynCaller();if(typeof fp!="function"){throwBindingError(`unknown function pointer with signature ${signature}: ${rawFunction}`)}return fp};var extendError=(baseErrorType,errorName)=>{var errorClass=createNamedFunction(errorName,function(message){this.name=errorName;this.message=message;var stack=new Error(message).stack;if(stack!==undefined){this.stack=this.toString()+"\n"+stack.replace(/^Error(:[^\n]*)?\n/,"")}});errorClass.prototype=Object.create(baseErrorType.prototype);errorClass.prototype.constructor=errorClass;errorClass.prototype.toString=function(){if(this.message===undefined){return this.name}else{return`${this.name}: ${this.message}`}};return errorClass};var UnboundTypeError=undefined;var getTypeName=type=>{var ptr=___getTypeName(type);var rv=readLatin1String(ptr);_free(ptr);return rv};var throwUnboundTypeError=(message,types)=>{var unboundTypes=[];var seen={};function visit(type){if(seen[type]){return}if(registeredTypes[type]){return}if(typeDependencies[type]){typeDependencies[type].forEach(visit);return}unboundTypes.push(type);seen[type]=true}types.forEach(visit);throw new UnboundTypeError(`${message}: `+unboundTypes.map(getTypeName).join([", "]))};var __embind_register_function=(name,argCount,rawArgTypesAddr,signature,rawInvoker,fn,isAsync)=>{var argTypes=heap32VectorToArray(argCount,rawArgTypesAddr);name=readLatin1String(name);rawInvoker=embind__requireFunction(signature,rawInvoker);exposePublicSymbol(name,function(){throwUnboundTypeError(`Cannot call ${name} due to unbound types`,argTypes)},argCount-1);whenDependentTypesAreResolved([],argTypes,function(argTypes){var invokerArgsArray=[argTypes[0],null].concat(argTypes.slice(1));replacePublicSymbol(name,craftInvokerFunction(name,invokerArgsArray,null,rawInvoker,fn,isAsync),argCount-1);return[]})};var integerReadValueFromPointer=(name,width,signed)=>{switch(width){case 1:return signed?pointer=>GROWABLE_HEAP_I8()[pointer>>0]:pointer=>GROWABLE_HEAP_U8()[pointer>>0];case 2:return signed?pointer=>GROWABLE_HEAP_I16()[pointer>>1]:pointer=>GROWABLE_HEAP_U16()[pointer>>1];case 4:return signed?pointer=>GROWABLE_HEAP_I32()[pointer>>2]:pointer=>GROWABLE_HEAP_U32()[pointer>>2];default:throw new TypeError(`invalid integer width (${width}): ${name}`)}};var __embind_register_integer=(primitiveType,name,size,minRange,maxRange)=>{name=readLatin1String(name);if(maxRange===-1){maxRange=4294967295}var fromWireType=value=>value;if(minRange===0){var bitshift=32-8*size;fromWireType=value=>value<>>bitshift}var isUnsignedType=name.includes("unsigned");var checkAssertions=(value,toTypeName)=>{};var toWireType;if(isUnsignedType){toWireType=function(destructors,value){checkAssertions(value,this.name);return value>>>0}}else{toWireType=function(destructors,value){checkAssertions(value,this.name);return value}}registerType(primitiveType,{name:name,"fromWireType":fromWireType,"toWireType":toWireType,"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":integerReadValueFromPointer(name,size,minRange!==0),destructorFunction:null})};var __embind_register_memory_view=(rawType,dataTypeIndex,name)=>{var typeMapping=[Int8Array,Uint8Array,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];var TA=typeMapping[dataTypeIndex];function decodeMemoryView(handle){var size=GROWABLE_HEAP_U32()[handle>>2];var data=GROWABLE_HEAP_U32()[handle+4>>2];return new TA(GROWABLE_HEAP_I8().buffer,data,size)}name=readLatin1String(name);registerType(rawType,{name:name,"fromWireType":decodeMemoryView,"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":decodeMemoryView},{ignoreDuplicateRegistrations:true})};function readPointer(pointer){return this["fromWireType"](GROWABLE_HEAP_U32()[pointer>>2])}var stringToUTF8=(str,outPtr,maxBytesToWrite)=>stringToUTF8Array(str,GROWABLE_HEAP_U8(),outPtr,maxBytesToWrite);var __embind_register_std_string=(rawType,name)=>{name=readLatin1String(name);var stdStringIsUTF8=name==="std::string";registerType(rawType,{name:name,"fromWireType":value=>{var length=GROWABLE_HEAP_U32()[value>>2];var payload=value+4;var str;if(stdStringIsUTF8){var decodeStartPtr=payload;for(var i=0;i<=length;++i){var currentBytePtr=payload+i;if(i==length||GROWABLE_HEAP_U8()[currentBytePtr]==0){var maxRead=currentBytePtr-decodeStartPtr;var stringSegment=UTF8ToString(decodeStartPtr,maxRead);if(str===undefined){str=stringSegment}else{str+=String.fromCharCode(0);str+=stringSegment}decodeStartPtr=currentBytePtr+1}}}else{var a=new Array(length);for(var i=0;i{if(value instanceof ArrayBuffer){value=new Uint8Array(value)}var length;var valueIsOfTypeString=typeof value=="string";if(!(valueIsOfTypeString||value instanceof Uint8Array||value instanceof Uint8ClampedArray||value instanceof Int8Array)){throwBindingError("Cannot pass non-string to std::string")}if(stdStringIsUTF8&&valueIsOfTypeString){length=lengthBytesUTF8(value)}else{length=value.length}var base=_malloc(4+length+1);var ptr=base+4;GROWABLE_HEAP_U32()[base>>2]=length;if(stdStringIsUTF8&&valueIsOfTypeString){stringToUTF8(value,ptr,length+1)}else{if(valueIsOfTypeString){for(var i=0;i255){_free(ptr);throwBindingError("String has UTF-16 code units that do not fit in 8 bits")}GROWABLE_HEAP_U8()[ptr+i]=charCode}}else{for(var i=0;i_free(ptr)})};var UTF16Decoder=typeof TextDecoder!="undefined"?new TextDecoder("utf-16le"):undefined;var UTF16ToString=(ptr,maxBytesToRead)=>{var endPtr=ptr;var idx=endPtr>>1;var maxIdx=idx+maxBytesToRead/2;while(!(idx>=maxIdx)&&GROWABLE_HEAP_U16()[idx])++idx;endPtr=idx<<1;if(endPtr-ptr>32&&UTF16Decoder)return UTF16Decoder.decode(GROWABLE_HEAP_U8().slice(ptr,endPtr));var str="";for(var i=0;!(i>=maxBytesToRead/2);++i){var codeUnit=GROWABLE_HEAP_I16()[ptr+i*2>>1];if(codeUnit==0)break;str+=String.fromCharCode(codeUnit)}return str};var stringToUTF16=(str,outPtr,maxBytesToWrite)=>{if(maxBytesToWrite===undefined){maxBytesToWrite=2147483647}if(maxBytesToWrite<2)return 0;maxBytesToWrite-=2;var startPtr=outPtr;var numCharsToWrite=maxBytesToWrite>1]=codeUnit;outPtr+=2}GROWABLE_HEAP_I16()[outPtr>>1]=0;return outPtr-startPtr};var lengthBytesUTF16=str=>str.length*2;var UTF32ToString=(ptr,maxBytesToRead)=>{var i=0;var str="";while(!(i>=maxBytesToRead/4)){var utf32=GROWABLE_HEAP_I32()[ptr+i*4>>2];if(utf32==0)break;++i;if(utf32>=65536){var ch=utf32-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}else{str+=String.fromCharCode(utf32)}}return str};var stringToUTF32=(str,outPtr,maxBytesToWrite)=>{if(maxBytesToWrite===undefined){maxBytesToWrite=2147483647}if(maxBytesToWrite<4)return 0;var startPtr=outPtr;var endPtr=startPtr+maxBytesToWrite-4;for(var i=0;i=55296&&codeUnit<=57343){var trailSurrogate=str.charCodeAt(++i);codeUnit=65536+((codeUnit&1023)<<10)|trailSurrogate&1023}GROWABLE_HEAP_I32()[outPtr>>2]=codeUnit;outPtr+=4;if(outPtr+4>endPtr)break}GROWABLE_HEAP_I32()[outPtr>>2]=0;return outPtr-startPtr};var lengthBytesUTF32=str=>{var len=0;for(var i=0;i=55296&&codeUnit<=57343)++i;len+=4}return len};var __embind_register_std_wstring=(rawType,charSize,name)=>{name=readLatin1String(name);var decodeString,encodeString,getHeap,lengthBytesUTF,shift;if(charSize===2){decodeString=UTF16ToString;encodeString=stringToUTF16;lengthBytesUTF=lengthBytesUTF16;getHeap=()=>GROWABLE_HEAP_U16();shift=1}else if(charSize===4){decodeString=UTF32ToString;encodeString=stringToUTF32;lengthBytesUTF=lengthBytesUTF32;getHeap=()=>GROWABLE_HEAP_U32();shift=2}registerType(rawType,{name:name,"fromWireType":value=>{var length=GROWABLE_HEAP_U32()[value>>2];var HEAP=getHeap();var str;var decodeStartPtr=value+4;for(var i=0;i<=length;++i){var currentBytePtr=value+4+i*charSize;if(i==length||HEAP[currentBytePtr>>shift]==0){var maxReadBytes=currentBytePtr-decodeStartPtr;var stringSegment=decodeString(decodeStartPtr,maxReadBytes);if(str===undefined){str=stringSegment}else{str+=String.fromCharCode(0);str+=stringSegment}decodeStartPtr=currentBytePtr+charSize}}_free(value);return str},"toWireType":(destructors,value)=>{if(!(typeof value=="string")){throwBindingError(`Cannot pass non-string to C++ string type ${name}`)}var length=lengthBytesUTF(value);var ptr=_malloc(4+length+charSize);GROWABLE_HEAP_U32()[ptr>>2]=length>>shift;encodeString(value,ptr+4,length+charSize);if(destructors!==null){destructors.push(_free,ptr)}return ptr},"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":simpleReadValueFromPointer,destructorFunction:ptr=>_free(ptr)})};var __embind_register_void=(rawType,name)=>{name=readLatin1String(name);registerType(rawType,{isVoid:true,name:name,"argPackAdvance":0,"fromWireType":()=>undefined,"toWireType":(destructors,o)=>undefined})};var nowIsMonotonic=true;var __emscripten_get_now_is_monotonic=()=>nowIsMonotonic;var maybeExit=()=>{if(!keepRuntimeAlive()){try{if(ENVIRONMENT_IS_PTHREAD)__emscripten_thread_exit(EXITSTATUS);else _exit(EXITSTATUS)}catch(e){handleException(e)}}};var callUserCallback=func=>{if(ABORT){return}try{func();maybeExit()}catch(e){handleException(e)}};var __emscripten_thread_mailbox_await=pthread_ptr=>{if(typeof Atomics.waitAsync==="function"){var wait=Atomics.waitAsync(GROWABLE_HEAP_I32(),pthread_ptr>>2,pthread_ptr);wait.value.then(checkMailbox);var waitingAsync=pthread_ptr+128;Atomics.store(GROWABLE_HEAP_I32(),waitingAsync>>2,1)}};Module["__emscripten_thread_mailbox_await"]=__emscripten_thread_mailbox_await;var checkMailbox=()=>{var pthread_ptr=_pthread_self();if(pthread_ptr){__emscripten_thread_mailbox_await(pthread_ptr);callUserCallback(()=>__emscripten_check_mailbox())}};Module["checkMailbox"]=checkMailbox;var __emscripten_notify_mailbox_postmessage=(targetThreadId,currThreadId,mainThreadId)=>{if(targetThreadId==currThreadId){setTimeout(()=>checkMailbox())}else if(ENVIRONMENT_IS_PTHREAD){postMessage({"targetThread":targetThreadId,"cmd":"checkMailbox"})}else{var worker=PThread.pthreads[targetThreadId];if(!worker){return}worker.postMessage({"cmd":"checkMailbox"})}};var withStackSave=f=>{var stack=stackSave();var ret=f();stackRestore(stack);return ret};var proxyToMainThread=function(index,sync){var numCallArgs=arguments.length-2;var outerArgs=arguments;return withStackSave(()=>{var serializedNumCallArgs=numCallArgs;var args=stackAlloc(serializedNumCallArgs*8);var b=args>>3;for(var i=0;i{proxiedJSCallArgs.length=numCallArgs;var b=args>>3;for(var i=0;i{if(ENVIRONMENT_IS_NODE){PThread.pthreads[thread].ref()}};var requireRegisteredType=(rawType,humanName)=>{var impl=registeredTypes[rawType];if(undefined===impl){throwBindingError(humanName+" has unknown type "+getTypeName(rawType))}return impl};var __emval_as=(handle,returnType,destructorsRef)=>{handle=Emval.toValue(handle);returnType=requireRegisteredType(returnType,"emval::as");var destructors=[];var rd=Emval.toHandle(destructors);GROWABLE_HEAP_U32()[destructorsRef>>2]=rd;return returnType["toWireType"](destructors,handle)};var emval_symbols={};var getStringOrSymbol=address=>{var symbol=emval_symbols[address];if(symbol===undefined){return readLatin1String(address)}return symbol};var emval_methodCallers=[];var __emval_call_void_method=(caller,handle,methodName,args)=>{caller=emval_methodCallers[caller];handle=Emval.toValue(handle);methodName=getStringOrSymbol(methodName);caller(handle,methodName,null,args)};var emval_addMethodCaller=caller=>{var id=emval_methodCallers.length;emval_methodCallers.push(caller);return id};var emval_lookupTypes=(argCount,argTypes)=>{var a=new Array(argCount);for(var i=0;i>2],"parameter "+i)}return a};var emval_registeredMethods=[];var __emval_get_method_caller=(argCount,argTypes)=>{var types=emval_lookupTypes(argCount,argTypes);var retType=types[0];var signatureName=retType.name+"_$"+types.slice(1).map(function(t){return t.name}).join("_")+"$";var returnId=emval_registeredMethods[signatureName];if(returnId!==undefined){return returnId}var params=["retType"];var args=[retType];var argsList="";for(var i=0;i{name=getStringOrSymbol(name);return Emval.toHandle(Module[name])};var __emval_get_property=(handle,key)=>{handle=Emval.toValue(handle);key=Emval.toValue(key);return Emval.toHandle(handle[key])};var __emval_incref=handle=>{if(handle>4){emval_handles.get(handle).refcount+=1}};var craftEmvalAllocator=argCount=>{var argsList="";for(var i=0;iGROWABLE_HEAP_U32();var functionBody="return function emval_allocator_"+argCount+"(constructor, argTypes, args) {\n"+" var HEAPU32 = getMemory();\n";for(var i=0;i>2)], 'parameter "+i+"');\n"+"var arg"+i+" = argType"+i+".readValueFromPointer(args);\n"+"args += argType"+i+"['argPackAdvance'];\n"+"argTypes += 4;\n"}functionBody+="var obj = new constructor("+argsList+");\n"+"return valueToHandle(obj);\n"+"}\n";return new Function("requireRegisteredType","Module","valueToHandle","getMemory",functionBody)(requireRegisteredType,Module,Emval.toHandle,getMemory)};var emval_newers={};var __emval_new=(handle,argCount,argTypes,args)=>{handle=Emval.toValue(handle);var newer=emval_newers[argCount];if(!newer){newer=craftEmvalAllocator(argCount);emval_newers[argCount]=newer}return newer(handle,argTypes,args)};var __emval_new_cstring=v=>Emval.toHandle(getStringOrSymbol(v));var __emval_run_destructors=handle=>{var destructors=Emval.toValue(handle);runDestructors(destructors);__emval_decref(handle)};var _abort=()=>{abort("")};var warnOnce=text=>{if(!warnOnce.shown)warnOnce.shown={};if(!warnOnce.shown[text]){warnOnce.shown[text]=1;if(ENVIRONMENT_IS_NODE)text="warning: "+text;err(text)}};var _emscripten_check_blocking_allowed=()=>{};var runtimeKeepalivePush=()=>{runtimeKeepaliveCounter+=1};var _emscripten_exit_with_live_runtime=()=>{runtimeKeepalivePush();throw"unwind"};var getHeapMax=()=>2147483648;var _emscripten_get_heap_max=()=>getHeapMax();var _emscripten_get_now;_emscripten_get_now=()=>performance.timeOrigin+performance.now();var _emscripten_num_logical_cores=()=>{if(ENVIRONMENT_IS_NODE)return require("os").cpus().length;return navigator["hardwareConcurrency"]};var growMemory=size=>{var b=wasmMemory.buffer;var pages=(size-b.byteLength+65535)/65536;try{wasmMemory.grow(pages);updateMemoryViews();return 1}catch(e){}};var _emscripten_resize_heap=requestedSize=>{var oldSize=GROWABLE_HEAP_U8().length;requestedSize>>>=0;if(requestedSize<=oldSize){return false}var maxHeapSize=getHeapMax();if(requestedSize>maxHeapSize){return false}var alignUp=(x,multiple)=>x+(multiple-x%multiple)%multiple;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(requestedSize,overGrownHeapSize),65536));var replacement=growMemory(newSize);if(replacement){return true}}return false};var ENV={};var getExecutableName=()=>thisProgram||"./this.program";var getEnvStrings=()=>{if(!getEnvStrings.strings){var lang=(typeof navigator=="object"&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8";var env={"USER":"web_user","LOGNAME":"web_user","PATH":"/","PWD":"/","HOME":"/home/web_user","LANG":lang,"_":getExecutableName()};for(var x in ENV){if(ENV[x]===undefined)delete env[x];else env[x]=ENV[x]}var strings=[];for(var x in env){strings.push(`${x}=${env[x]}`)}getEnvStrings.strings=strings}return getEnvStrings.strings};var stringToAscii=(str,buffer)=>{for(var i=0;i>0]=str.charCodeAt(i)}GROWABLE_HEAP_I8()[buffer>>0]=0};var _environ_get=function(__environ,environ_buf){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(6,1,__environ,environ_buf);var bufSize=0;getEnvStrings().forEach((string,i)=>{var ptr=environ_buf+bufSize;GROWABLE_HEAP_U32()[__environ+i*4>>2]=ptr;stringToAscii(string,ptr);bufSize+=string.length+1});return 0};var _environ_sizes_get=function(penviron_count,penviron_buf_size){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(7,1,penviron_count,penviron_buf_size);var strings=getEnvStrings();GROWABLE_HEAP_U32()[penviron_count>>2]=strings.length;var bufSize=0;strings.forEach(string=>bufSize+=string.length+1);GROWABLE_HEAP_U32()[penviron_buf_size>>2]=bufSize;return 0};function _fd_close(fd){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(8,1,fd);try{var stream=SYSCALLS.getStreamFromFD(fd);FS.close(stream);return 0}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return e.errno}}var doReadv=(stream,iov,iovcnt,offset)=>{var ret=0;for(var i=0;i>2];var len=GROWABLE_HEAP_U32()[iov+4>>2];iov+=8;var curr=FS.read(stream,GROWABLE_HEAP_I8(),ptr,len,offset);if(curr<0)return-1;ret+=curr;if(curr>2]=num;return 0}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return e.errno}}var convertI32PairToI53Checked=(lo,hi)=>hi+2097152>>>0<4194305-!!lo?(lo>>>0)+hi*4294967296:NaN;function _fd_seek(fd,offset_low,offset_high,whence,newOffset){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(10,1,fd,offset_low,offset_high,whence,newOffset);var offset=convertI32PairToI53Checked(offset_low,offset_high);try{if(isNaN(offset))return 61;var stream=SYSCALLS.getStreamFromFD(fd);FS.llseek(stream,offset,whence);tempI64=[stream.position>>>0,(tempDouble=stream.position,+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[newOffset>>2]=tempI64[0],GROWABLE_HEAP_I32()[newOffset+4>>2]=tempI64[1];if(stream.getdents&&offset===0&&whence===0)stream.getdents=null;return 0}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return e.errno}}var doWritev=(stream,iov,iovcnt,offset)=>{var ret=0;for(var i=0;i>2];var len=GROWABLE_HEAP_U32()[iov+4>>2];iov+=8;var curr=FS.write(stream,GROWABLE_HEAP_I8(),ptr,len,offset);if(curr<0)return-1;ret+=curr;if(typeof offset!=="undefined"){offset+=curr}}return ret};function _fd_write(fd,iov,iovcnt,pnum){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(11,1,fd,iov,iovcnt,pnum);try{var stream=SYSCALLS.getStreamFromFD(fd);var num=doWritev(stream,iov,iovcnt);GROWABLE_HEAP_U32()[pnum>>2]=num;return 0}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return e.errno}}var isLeapYear=year=>year%4===0&&(year%100!==0||year%400===0);var arraySum=(array,index)=>{var sum=0;for(var i=0;i<=index;sum+=array[i++]){}return sum};var MONTH_DAYS_LEAP=[31,29,31,30,31,30,31,31,30,31,30,31];var MONTH_DAYS_REGULAR=[31,28,31,30,31,30,31,31,30,31,30,31];var addDays=(date,days)=>{var newDate=new Date(date.getTime());while(days>0){var leap=isLeapYear(newDate.getFullYear());var currentMonth=newDate.getMonth();var daysInCurrentMonth=(leap?MONTH_DAYS_LEAP:MONTH_DAYS_REGULAR)[currentMonth];if(days>daysInCurrentMonth-newDate.getDate()){days-=daysInCurrentMonth-newDate.getDate()+1;newDate.setDate(1);if(currentMonth<11){newDate.setMonth(currentMonth+1)}else{newDate.setMonth(0);newDate.setFullYear(newDate.getFullYear()+1)}}else{newDate.setDate(newDate.getDate()+days);return newDate}}return newDate};var writeArrayToMemory=(array,buffer)=>{GROWABLE_HEAP_I8().set(array,buffer)};var _strftime=(s,maxsize,format,tm)=>{var tm_zone=GROWABLE_HEAP_U32()[tm+40>>2];var date={tm_sec:GROWABLE_HEAP_I32()[tm>>2],tm_min:GROWABLE_HEAP_I32()[tm+4>>2],tm_hour:GROWABLE_HEAP_I32()[tm+8>>2],tm_mday:GROWABLE_HEAP_I32()[tm+12>>2],tm_mon:GROWABLE_HEAP_I32()[tm+16>>2],tm_year:GROWABLE_HEAP_I32()[tm+20>>2],tm_wday:GROWABLE_HEAP_I32()[tm+24>>2],tm_yday:GROWABLE_HEAP_I32()[tm+28>>2],tm_isdst:GROWABLE_HEAP_I32()[tm+32>>2],tm_gmtoff:GROWABLE_HEAP_I32()[tm+36>>2],tm_zone:tm_zone?UTF8ToString(tm_zone):""};var pattern=UTF8ToString(format);var EXPANSION_RULES_1={"%c":"%a %b %d %H:%M:%S %Y","%D":"%m/%d/%y","%F":"%Y-%m-%d","%h":"%b","%r":"%I:%M:%S %p","%R":"%H:%M","%T":"%H:%M:%S","%x":"%m/%d/%y","%X":"%H:%M:%S","%Ec":"%c","%EC":"%C","%Ex":"%m/%d/%y","%EX":"%H:%M:%S","%Ey":"%y","%EY":"%Y","%Od":"%d","%Oe":"%e","%OH":"%H","%OI":"%I","%Om":"%m","%OM":"%M","%OS":"%S","%Ou":"%u","%OU":"%U","%OV":"%V","%Ow":"%w","%OW":"%W","%Oy":"%y"};for(var rule in EXPANSION_RULES_1){pattern=pattern.replace(new RegExp(rule,"g"),EXPANSION_RULES_1[rule])}var WEEKDAYS=["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"];var MONTHS=["January","February","March","April","May","June","July","August","September","October","November","December"];function leadingSomething(value,digits,character){var str=typeof value=="number"?value.toString():value||"";while(str.length0?1:0}var compare;if((compare=sgn(date1.getFullYear()-date2.getFullYear()))===0){if((compare=sgn(date1.getMonth()-date2.getMonth()))===0){compare=sgn(date1.getDate()-date2.getDate())}}return compare}function getFirstWeekStartDate(janFourth){switch(janFourth.getDay()){case 0:return new Date(janFourth.getFullYear()-1,11,29);case 1:return janFourth;case 2:return new Date(janFourth.getFullYear(),0,3);case 3:return new Date(janFourth.getFullYear(),0,2);case 4:return new Date(janFourth.getFullYear(),0,1);case 5:return new Date(janFourth.getFullYear()-1,11,31);case 6:return new Date(janFourth.getFullYear()-1,11,30)}}function getWeekBasedYear(date){var thisDate=addDays(new Date(date.tm_year+1900,0,1),date.tm_yday);var janFourthThisYear=new Date(thisDate.getFullYear(),0,4);var janFourthNextYear=new Date(thisDate.getFullYear()+1,0,4);var firstWeekStartThisYear=getFirstWeekStartDate(janFourthThisYear);var firstWeekStartNextYear=getFirstWeekStartDate(janFourthNextYear);if(compareByDay(firstWeekStartThisYear,thisDate)<=0){if(compareByDay(firstWeekStartNextYear,thisDate)<=0){return thisDate.getFullYear()+1}return thisDate.getFullYear()}return thisDate.getFullYear()-1}var EXPANSION_RULES_2={"%a":date=>WEEKDAYS[date.tm_wday].substring(0,3),"%A":date=>WEEKDAYS[date.tm_wday],"%b":date=>MONTHS[date.tm_mon].substring(0,3),"%B":date=>MONTHS[date.tm_mon],"%C":date=>{var year=date.tm_year+1900;return leadingNulls(year/100|0,2)},"%d":date=>leadingNulls(date.tm_mday,2),"%e":date=>leadingSomething(date.tm_mday,2," "),"%g":date=>getWeekBasedYear(date).toString().substring(2),"%G":date=>getWeekBasedYear(date),"%H":date=>leadingNulls(date.tm_hour,2),"%I":date=>{var twelveHour=date.tm_hour;if(twelveHour==0)twelveHour=12;else if(twelveHour>12)twelveHour-=12;return leadingNulls(twelveHour,2)},"%j":date=>leadingNulls(date.tm_mday+arraySum(isLeapYear(date.tm_year+1900)?MONTH_DAYS_LEAP:MONTH_DAYS_REGULAR,date.tm_mon-1),3),"%m":date=>leadingNulls(date.tm_mon+1,2),"%M":date=>leadingNulls(date.tm_min,2),"%n":()=>"\n","%p":date=>{if(date.tm_hour>=0&&date.tm_hour<12){return"AM"}return"PM"},"%S":date=>leadingNulls(date.tm_sec,2),"%t":()=>"\t","%u":date=>date.tm_wday||7,"%U":date=>{var days=date.tm_yday+7-date.tm_wday;return leadingNulls(Math.floor(days/7),2)},"%V":date=>{var val=Math.floor((date.tm_yday+7-(date.tm_wday+6)%7)/7);if((date.tm_wday+371-date.tm_yday-2)%7<=2){val++}if(!val){val=52;var dec31=(date.tm_wday+7-date.tm_yday-1)%7;if(dec31==4||dec31==5&&isLeapYear(date.tm_year%400-1)){val++}}else if(val==53){var jan1=(date.tm_wday+371-date.tm_yday)%7;if(jan1!=4&&(jan1!=3||!isLeapYear(date.tm_year)))val=1}return leadingNulls(val,2)},"%w":date=>date.tm_wday,"%W":date=>{var days=date.tm_yday+7-(date.tm_wday+6)%7;return leadingNulls(Math.floor(days/7),2)},"%y":date=>(date.tm_year+1900).toString().substring(2),"%Y":date=>date.tm_year+1900,"%z":date=>{var off=date.tm_gmtoff;var ahead=off>=0;off=Math.abs(off)/60;off=off/60*100+off%60;return(ahead?"+":"-")+String("0000"+off).slice(-4)},"%Z":date=>date.tm_zone,"%%":()=>"%"};pattern=pattern.replace(/%%/g,"\0\0");for(var rule in EXPANSION_RULES_2){if(pattern.includes(rule)){pattern=pattern.replace(new RegExp(rule,"g"),EXPANSION_RULES_2[rule](date))}}pattern=pattern.replace(/\0\0/g,"%");var bytes=intArrayFromString(pattern,false);if(bytes.length>maxsize){return 0}writeArrayToMemory(bytes,s);return bytes.length-1};var _strftime_l=(s,maxsize,format,tm,loc)=>_strftime(s,maxsize,format,tm);PThread.init();var FSNode=function(parent,name,mode,rdev){if(!parent){parent=this}this.parent=parent;this.mount=parent.mount;this.mounted=null;this.id=FS.nextInode++;this.name=name;this.mode=mode;this.node_ops={};this.stream_ops={};this.rdev=rdev};var readMode=292|73;var 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wasmImports={d:___cxa_throw,K:___emscripten_init_main_thread_js,n:___emscripten_thread_cleanup,H:___pthread_create_js,r:___syscall_fcntl64,M:___syscall_ioctl,N:___syscall_openat,z:__embind_register_bigint,S:__embind_register_bool,R:__embind_register_emval,t:__embind_register_float,i:__embind_register_function,g:__embind_register_integer,c:__embind_register_memory_view,s:__embind_register_std_string,l:__embind_register_std_wstring,T:__embind_register_void,Q:__emscripten_get_now_is_monotonic,G:__emscripten_notify_mailbox_postmessage,I:__emscripten_receive_on_main_thread_js,J:__emscripten_thread_mailbox_await,P:__emscripten_thread_set_strongref,x:__emval_as,U:__emval_call_void_method,f:__emval_decref,V:__emval_get_method_caller,v:__emval_get_module_property,j:__emval_get_property,m:__emval_incref,u:__emval_new,k:__emval_new_cstring,w:__emval_run_destructors,h:_abort,o:_emscripten_check_blocking_allowed,O:_emscripten_exit_with_live_runtime,A:_emscripten_get_heap_max,e:_emscripten_get_now,B:_emscripten_num_logical_cores,F:_emscripten_resize_heap,D:_environ_get,E:_environ_sizes_get,b:_exit,p:_fd_close,L:_fd_read,y:_fd_seek,q:_fd_write,a:wasmMemory||Module["wasmMemory"],C:_strftime_l};var wasmExports=createWasm();var ___wasm_call_ctors=()=>(___wasm_call_ctors=wasmExports["W"])();var _malloc=a0=>(_malloc=wasmExports["Y"])(a0);var _free=a0=>(_free=wasmExports["Z"])(a0);var __emscripten_tls_init=Module["__emscripten_tls_init"]=()=>(__emscripten_tls_init=Module["__emscripten_tls_init"]=wasmExports["_"])();var _pthread_self=Module["_pthread_self"]=()=>(_pthread_self=Module["_pthread_self"]=wasmExports["$"])();var ___getTypeName=a0=>(___getTypeName=wasmExports["aa"])(a0);var __embind_initialize_bindings=Module["__embind_initialize_bindings"]=()=>(__embind_initialize_bindings=Module["__embind_initialize_bindings"]=wasmExports["ba"])();var ___errno_location=()=>(___errno_location=wasmExports["ca"])();var __emscripten_thread_init=Module["__emscripten_thread_init"]=(a0,a1,a2,a3,a4,a5)=>(__emscripten_thread_init=Module["__emscripten_thread_init"]=wasmExports["da"])(a0,a1,a2,a3,a4,a5);var 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readyPromiseResolve,readyPromiseReject;Module["ready"]=new Promise((resolve,reject)=>{readyPromiseResolve=resolve;readyPromiseReject=reject});var moduleOverrides=Object.assign({},Module);var arguments_=[];var thisProgram="./this.program";var quit_=(status,toThrow)=>{throw toThrow};var ENVIRONMENT_IS_WEB=typeof window=="object";var ENVIRONMENT_IS_WORKER=typeof importScripts=="function";var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";var ENVIRONMENT_IS_PTHREAD=Module["ENVIRONMENT_IS_PTHREAD"]||false;var scriptDirectory="";function locateFile(path){if(Module["locateFile"]){return Module["locateFile"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;if(ENVIRONMENT_IS_NODE){var fs=require("fs");var nodePath=require("path");if(ENVIRONMENT_IS_WORKER){scriptDirectory=nodePath.dirname(scriptDirectory)+"/"}else{scriptDirectory=__dirname+"/"}read_=(filename,binary)=>{filename=isFileURI(filename)?new URL(filename):nodePath.normalize(filename);return fs.readFileSync(filename,binary?undefined:"utf8")};readBinary=filename=>{var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}return ret};readAsync=(filename,onload,onerror,binary=true)=>{filename=isFileURI(filename)?new URL(filename):nodePath.normalize(filename);fs.readFile(filename,binary?undefined:"utf8",(err,data)=>{if(err)onerror(err);else onload(binary?data.buffer:data)})};if(!Module["thisProgram"]&&process.argv.length>1){thisProgram=process.argv[1].replace(/\\/g,"/")}arguments_=process.argv.slice(2);quit_=(status,toThrow)=>{process.exitCode=status;throw toThrow};Module["inspect"]=()=>"[Emscripten Module object]";let nodeWorkerThreads;try{nodeWorkerThreads=require("worker_threads")}catch(e){console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?');throw e}global.Worker=nodeWorkerThreads.Worker}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WORKER){scriptDirectory=self.location.href}else if(typeof document!="undefined"&&document.currentScript){scriptDirectory=document.currentScript.src}if(_scriptDir){scriptDirectory=_scriptDir}if(scriptDirectory.indexOf("blob:")!==0){scriptDirectory=scriptDirectory.substr(0,scriptDirectory.replace(/[?#].*/,"").lastIndexOf("/")+1)}else{scriptDirectory=""}if(!ENVIRONMENT_IS_NODE){read_=url=>{var xhr=new XMLHttpRequest;xhr.open("GET",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){readBinary=url=>{var xhr=new XMLHttpRequest;xhr.open("GET",url,false);xhr.responseType="arraybuffer";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=(url,onload,onerror)=>{var xhr=new XMLHttpRequest;xhr.open("GET",url,true);xhr.responseType="arraybuffer";xhr.onload=()=>{if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=title=>document.title=title}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance=="undefined"){global.performance=require("perf_hooks").performance}}var defaultPrint=console.log.bind(console);var defaultPrintErr=console.error.bind(console);if(ENVIRONMENT_IS_NODE){defaultPrint=(...args)=>fs.writeSync(1,args.join(" ")+"\n");defaultPrintErr=(...args)=>fs.writeSync(2,args.join(" ")+"\n")}var out=Module["print"]||defaultPrint;var err=Module["printErr"]||defaultPrintErr;Object.assign(Module,moduleOverrides);moduleOverrides=null;if(Module["arguments"])arguments_=Module["arguments"];if(Module["thisProgram"])thisProgram=Module["thisProgram"];if(Module["quit"])quit_=Module["quit"];var wasmBinary;if(Module["wasmBinary"])wasmBinary=Module["wasmBinary"];var noExitRuntime=Module["noExitRuntime"]||true;if(typeof WebAssembly!="object"){abort("no native wasm support detected")}var wasmMemory;var wasmModule;var ABORT=false;var EXITSTATUS;function assert(condition,text){if(!condition){abort(text)}}var HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateMemoryViews(){var b=wasmMemory.buffer;Module["HEAP8"]=HEAP8=new Int8Array(b);Module["HEAP16"]=HEAP16=new Int16Array(b);Module["HEAPU8"]=HEAPU8=new Uint8Array(b);Module["HEAPU16"]=HEAPU16=new Uint16Array(b);Module["HEAP32"]=HEAP32=new Int32Array(b);Module["HEAPU32"]=HEAPU32=new Uint32Array(b);Module["HEAPF32"]=HEAPF32=new Float32Array(b);Module["HEAPF64"]=HEAPF64=new Float64Array(b)}var INITIAL_MEMORY=Module["INITIAL_MEMORY"]||16777216;assert(INITIAL_MEMORY>=65536,"INITIAL_MEMORY should be larger than STACK_SIZE, was "+INITIAL_MEMORY+"! (STACK_SIZE="+65536+")");if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module["wasmMemory"]}else{if(Module["wasmMemory"]){wasmMemory=Module["wasmMemory"]}else{wasmMemory=new WebAssembly.Memory({"initial":INITIAL_MEMORY/65536,"maximum":2147483648/65536,"shared":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag");if(ENVIRONMENT_IS_NODE){err("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)")}throw Error("bad memory")}}}updateMemoryViews();INITIAL_MEMORY=wasmMemory.buffer.byteLength;var wasmTable;var __ATPRERUN__=[];var __ATINIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;var runtimeKeepaliveCounter=0;function keepRuntimeAlive(){return noExitRuntime||runtimeKeepaliveCounter>0}function preRun(){if(Module["preRun"]){if(typeof Module["preRun"]=="function")Module["preRun"]=[Module["preRun"]];while(Module["preRun"].length){addOnPreRun(Module["preRun"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;if(ENVIRONMENT_IS_PTHREAD)return;if(!Module["noFSInit"]&&!FS.init.initialized)FS.init();FS.ignorePermissions=false;TTY.init();callRuntimeCallbacks(__ATINIT__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module["postRun"]){if(typeof Module["postRun"]=="function")Module["postRun"]=[Module["postRun"]];while(Module["postRun"].length){addOnPostRun(Module["postRun"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnInit(cb){__ATINIT__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function getUniqueRunDependency(id){return id}function addRunDependency(id){runDependencies++;if(Module["monitorRunDependencies"]){Module["monitorRunDependencies"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module["monitorRunDependencies"]){Module["monitorRunDependencies"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}function abort(what){if(Module["onAbort"]){Module["onAbort"](what)}what="Aborted("+what+")";err(what);ABORT=true;EXITSTATUS=1;what+=". Build with -sASSERTIONS for more info.";var e=new WebAssembly.RuntimeError(what);readyPromiseReject(e);throw e}var dataURIPrefix="data:application/octet-stream;base64,";function isDataURI(filename){return filename.startsWith(dataURIPrefix)}function isFileURI(filename){return filename.startsWith("file://")}var 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5AH9CwAwIAtBEGoiCyACSA0ACwsCQCA7DQAgAiEAICNBBE8EQCCyAv0TIZMCQQAhAANAIBQgACACakECdCILaiIXIAkgC2r9AAIAIJMC/eYBIBf9AAIA/eQB/QsCACAAQQRqIgAgJUcNAAsgBCEAIBZFDQELA0AgFCAAQQJ0IgtqIhcgCSALaioCACCyApQgFyoCAJI4AgAgAEEBaiIAIBFHDQALCyDYAUIBfCLYASDaAVINAAsLID4EQCABIAxBD3EiFyAMQQNxIiFrIjpqIQkgGyDcAadsICxqITtCACHYAQNAIDUg6gEg2AEg5QF+fKdqIQggECgC0AEgOyAfINgBp2xqaioCACGyAiAaRQRAILIC/RMhkwJBACELA0AgCCALQQJ0IhRqIgAgkwIgDSAUaiIU/QAAAP3mASAA/QAAAP3kAf0LAAAgACCTAiAU/QAAEP3mASAA/QAAEP3kAf0LABAgACCTAiAU/QAAIP3mASAA/QAAIP3kAf0LACAgACCTAiAU/QAAMP3mASAA/QAAMP3kAf0LADAgC0EQaiILIAFIDQALCwJAIBMNACABIQAgF0EETwRAILIC/RMhkwJBACEAA0AgCCAAIAFqQQJ0IgtqIhQgCyANav0AAgAgkwL95gEgFP0AAgD95AH9CwIAIABBBGoiACA6Rw0ACyAJIQAgIUUNAQsDQCAIIABBAnQiC2oiFCALIA1qKgIAILIClCAUKgIAkjgCACAAQQFqIgAgDEcNAAsLINgBQgF8ItgBINkBUg0ACwsg3AFCAXwi3AEg3QFSDQALIBlBAWoiGSAiRw0ACyDpASDfAUIBfCLfAVINAAsMDgtBvMMCKAIAEDAaIApB3j82AiggCkHy5QA2AiQgCkHkJjYCIEG4wwIoAgBBy+QAIApBIGoQMQw0C0G8wwIoAgAQMBogCkGxOjYCGCAKQeHlADYCFCAKQeQmNgIQQbjDAigCAEHL5AAgCkEQahAxDDMLQbzDAigCABAwGiAKQcY7NgIIIApB4OUANgIEIApB5CY2AgBBuMMCKAIAQcvkACAKEDEMMgtBvMMCKAIAEDAaIApBzj02AjggCkHf5QA2AjQgCkHkJjYCMEG4wwIoAgBBy+QAIApBMGoQMQwxC0G8wwIoAgAQMBogCkHd0AA2AkggCkHe5QA2AkQgCkHkJjYCQEG4wwIoAgBBy+QAIApBQGsQMQwwC0G8wwIoAgAQMBogCkHcLjYCWCAKQdvlADYCVCAKQeQmNgJQQbjDAigCAEHL5AAgCkHQAGoQMQwvC0G8wwIoAgAQMBogCkHDMzYCaCAKQdblADYCZCAKQeQmNgJgQbjDAigCAEHL5AAgCkHgAGoQMQwuC0G8wwIoAgAQMBogCkGbMzYCeCAKQdXlADYCdCAKQeQmNgJwQbjDAigCAEHL5AAgCkHwAGoQMQwtC0G8wwIoAgAQMBogCkGwMzYCiAEgCkHU5QA2AoQBIApB5CY2AoABQbjDAigCAEHL5AAgCkGAAWoQMQwsC0G8wwIoAgAQMBogCkGb0AA2ApgBIApB0eUANgKUASAKQeQmNgKQAUG4wwIoAgBBy+QAIApBkAFqEDEMKwtBvMMCKAIAEDAaIApBx9AANgKoASAKQdDlADYCpAEgCkHkJjYCoAFBuMMCKAIAQcvkACAKQaABahAxDCoLQbzDAigCABAwGiAKQbHQADYCuAEgCkHP5QA2ArQBIApB5CY2ArABQbjDAigCAEHL5AAgCkGwAWoQMQwpC0G8wwIoAgAQMBogCkH2wAA2AsgBIApBzeUANgLEASAKQeQmNgLAAUG4wwIoAgBBy+QAIApBwAFqEDEMKAtBvMMCKAIAEDAaIApBmyE2AtgBIApBmugANgLUASAKQeQmNgLQAUG4wwIoAgBBy+QAIApB0AFqEDEMJwsgCkHgAWokAAwACwwRCyABKAKMASEEIwBBEGsiAyQAAkAgBCgCAEUEQAJAAkAgACgCAA4DAQABAAsgASgCSCIAQQBMDQAgASgCRCIFQQBMDQAgASkDICLhAUIAVw0AIAEpAxgi4gFCAFcNACABKQMQItkBQgBXDQAgBCkDICHqASDZAUIDgyHkASDZAUJ8gyHaASAEKQMQIuMBQgKGIesBINkBQgKGIewBIAQpAxgi5QEg4wF+ItgBQgKGIe0BIOEBIOIBfiDZAX4h7gEg2QGnIgJBAnQhByACIOIBp2xBAnQhBiDZASDiAX4i3AFCAoYi7wEg4QF+IfABINgBIAEoAkwiAqwi5gF+QgKGQvz///8PgyHxASDcASDhAX4i2AFCAoZC/P///w+DIfIBINgBIAWtIucBfkIChkL8////D4Mh8wEgAiDjAadsQQJ0rSH0ASAArSH1AQNAINsBIOYBfiH2ASDbASDnAX4h9wEg2wEg8QF+IfgBINsBIPMBfiH6ASAFINsBp2whCUIAIdwBA0Ag3AEg5gF+IfkBINwBIPcBfCLYASDhAX4h+wEg+AEg3AEg9AF+fCH8ASD6ASDcASDyAX58If0BINgBIO4BfkIChiH+ASDwASAJINwBp2qtfkL8////D4Mh/wFCACHdAQNAIN0BIO8BfiHYAQJAIOoBIN0BIPYBfCLeAVUEQCDeASDlAX4hgAIg3QEg+wF8IOIBfiGBAiDYASD/AXwhggIg/AEg3QEg7QF+fCGDAiDYASD9AXwhhAJCACHeAQNAIN4BIOwBfiHoAQJAIOUBIN4BIPkBfCLYAVcEQCABKALQASDoASCCAnynakEAIAf8CwAMAQsg3gEggQJ8INkBfiHfASDYASCAAnwg4wF+IeABIAEoAtABIQAgBCgC0AEhAkIAIekBQgAh2AECQCDZAUIIVA0AIAAg6AEghAJ8p2ogAiCDAiDeASDrAX58p2prQRBJDQADQCAAINgBIN8BfKdBAnRqIAIg2AEg4AF8p0ECdGr9AAIA/QsCACDYAUIEfCLYASDaAVINAAsg2gEi2AEg2QFRDQELINkBINgBQn+FfCGPAiDkAUIAUgRAA0AgACDYASDfAXynQQJ0aiACINgBIOABfKdBAnRqKgIAOAIAINgBQgF8IdgBIOkBQgF8IukBIOQBUg0ACwsgjwJCA1QNAANAIAAg2AEg3wF8p0ECdGogAiDYASDgAXynQQJ0aioCADgCACAAINgBQgF8IugBIN8BfKdBAnRqIAIg4AEg6AF8p0ECdGoqAgA4AgAgACDYAUICfCLoASDfAXynQQJ0aiACIOABIOgBfKdBAnRqKgIAOAIAIAAg2AFCA3wi6AEg3wF8p0ECdGogAiDgASDoAXynQQJ0aioCADgCACDYAUIEfCLYASDZAVINAAsLIN4BQgF8It4BIOIBUg0ACwwBCyABKALQASDYASD+AXynakEAIAb8CwALIN0BQgF8It0BIOEBUg0ACyDcAUIBfCLcASDnAVINAAsg2wFCAXwi2wEg9QFSDQALCyADQRBqJAAMAQtBvMMCKAIAEDAaIANBmyE2AgggA0HY6AA2AgQMHAsMEAsgASgCjAEhAiMAQRBrIgQkAAJAIAIoAgBFBEACQAJAIAAoAgAOAwEAAQALIAE0AkQi2wEgASkDGCLgASDbAYF9INsBgSDgAXwg2wF/IeMBIAEpAyAi5AFCAFcNACDgAUIAVw0AIAEpAxAi2QFCAFcNACDZAUIDgyHhASDZAUJ8gyHaASDZAUIChiHlASACKQMQIuYBp0ECdCEDINkBIOABfkIChiHnASACKQMgIugBpyEFIAIpAxgi6QGnIQcgAigC0AEhACABKALQASIBrSHqAQNAINwBIOABfiHrASDcASDnAX4g6gF8IewBINwBINsBfyLYASDjAX4h7QEg3AEg2AEg2wF+fSLuAachAkIAId0BA0Ag3QEg2wF/ItgBIO0BfCLvAcQg6AF+IO4BfCDpAX4g3QEg2AEg2wF+fSLwAXwg5gF+Id4BIN0BIOsBfCDZAX4h3wFCACHiAUIAIdgBAkACQCDZAUIMVA0AIOwBIN0BIOUBfnynIAMg8AGnIAUg7wGnbCACaiAHbGpsIABqa0EQSQ0AA0AgASDYASDfAXynQQJ0aiAAINgBIN4BfKdBAnRq/QACAP0LAgAg2AFCBHwi2AEg2gFSDQALINoBItgBINkBUQ0BCyDZASDYAUJ/hXwhkAIg4QFCAFIEQANAIAEg2AEg3wF8p0ECdGogACDYASDeAXynQQJ0aioCADgCACDYAUIBfCHYASDiAUIBfCLiASDhAVINAAsLIJACQgNUDQADQCABINgBIN8BfKdBAnRqIAAg2AEg3gF8p0ECdGoqAgA4AgAgASDYAUIBfCLiASDfAXynQQJ0aiAAIN4BIOIBfKdBAnRqKgIAOAIAIAEg2AFCAnwi4gEg3wF8p0ECdGogACDeASDiAXynQQJ0aioCADgCACABINgBQgN8IuIBIN8BfKdBAnRqIAAg3gEg4gF8p0ECdGoqAgA4AgAg2AFCBHwi2AEg2QFSDQALCyDdAUIBfCLdASDgAVINAAsg3AFCAXwi3AEg5AFSDQALCyAEQRBqJAAMAQtBvMMCKAIAEDAaIARBmyE2AgggBEGU6QA2AgQMGgsMDwsgASgCjAEhBCMAQdACayICJAACQAJAAkACQAJAAkACQAJAAkACQCABKAJAQT1GBEACQAJAAkACQAJAAkACQAJAAkACQAJAAkACQCABKAJEDgoAAQIDBAUGBwgJDAsgBCgCAEUEQAJAIAAoAgAOAwsACwALIAQpAyggBCkDICAEKQMYfn6nIgpBAEwNCiAEKAIQIgZBAEwNCiAEKAI0IQggASgCNCELIAQoAtABIQwgASgC0AEhDSAGQQNxIQkgBkF8cSEBQQAhBCAGQQRJIQ8DQCAMIAQgCGxqIQUgDSAEIAtsaiEHQQAhAAJAAkAgDw0AIAcgBWtBEEkNAANAIAcgAEECdCIDaiADIAVq/QACAP3gAf0LAgAgAEEEaiIAIAFHDQALIAEiACAGRg0BCyAAQX9zIAZqIdABQQAhAyAJBEADQCAHIABBAnQiEGogBSAQaioCAIs4AgAgAEEBaiEAIANBAWoiAyAJRw0ACwsg0AFBA0kNAANAIAcgAEECdCIDaiADIAVqKgIAizgCACAHIANBBGoiDmogBSAOaioCAIs4AgAgByADQQhqIg5qIAUgDmoqAgCLOAIAIAcgA0EMaiIDaiADIAVqKgIAizgCACAAQQRqIgAgBkcNAAsLIARBAWoiBCAKRw0ACwwKC0G8wwIoAgAQMBogAkGbITYCGCACQZbDADYCFCACQeQmNgIQQbjDAigCAEHL5AAgAkEQahAxDDkLIAQoAgBFBEACQCAAKAIADgMKAAoACyAEKQMoIAQpAyAgBCkDGH5+pyIJQQBMDQkgBCgCECIDQQBMDQkgBCgCNCEKIAEoAjQhCCAEKALQASELIAEoAtABIQxBACEEQQAgA2shDSADQQFxIQ8gA0F8cSEBIANBBEkhDgNAIAsgBCAKbGohBSAMIAQgCGxqIQdBACEAAkACQCAODQAgByAFa0EQSQ0AA0AgByAAQQJ0IgZq/QwAAIA/AACAPwAAgD8AAIA//QwAAIC/AACAvwAAgL8AAIC//QwAAAAAAAAAAAAAAAAAAAAAIAUgBmr9AAIAIpIC/QwAAAAAAAAAAAAAAAAAAAAA/UP9UiCSAv0MAAAAAAAAAAAAAAAAAAAAAP1E/VL9CwIAIABBBGoiACABRw0ACyABIgAgA0YNAQsgAEF/cyHRASAPBEAgByAAQQJ0IhBqQwAAgD9DAACAv0MAAAAAIAUgEGoqAgAisgJDAAAAAF0bILICQwAAAABeGzgCACAAQQFyIQALINEBIA1GDQADQCAHIABBAnQiBmpDAACAP0MAAIC/QwAAAAAgBSAGaioCACKyAkMAAAAAXRsgsgJDAAAAAF4bOAIAIAcgBkEEaiIGakMAAIA/QwAAgL9DAAAAACAFIAZqKgIAIrICQwAAAABdGyCyAkMAAAAAXhs4AgAgAEECaiIAIANHDQALCyAEQQFqIgQgCUcNAAsMCQtBvMMCKAIAEDAaIAJBmyE2AiggAkHAwwA2AiQgAkHkJjYCIEG4wwIoAgBBy+QAIAJBIGoQMQw4CyAEKAIARQRAAkAgACgCAA4DCQAJAAsgBCkDKCAEKQMgIAQpAxh+fqciCkEATA0IIAQoAhAiBkEATA0IIAQoAjQhCCABKAI0IQsgBCgC0AEhDCABKALQASENIAZBA3EhCSAGQXxxIQFBACEEIAZBBEkhDwNAIAwgBCAIbGohBSANIAQgC2xqIQdBACEAAkACQCAPDQAgByAFa0EQSQ0AA0AgByAAQQJ0IgNqIAMgBWr9AAIA/eEB/QsCACAAQQRqIgAgAUcNAAsgASIAIAZGDQELIABBf3MgBmoh0gFBACEDIAkEQANAIAcgAEECdCIQaiAFIBBqKgIAjDgCACAAQQFqIQAgA0EBaiIDIAlHDQALCyDSAUEDSQ0AA0AgByAAQQJ0IgNqIAMgBWoqAgCMOAIAIAcgA0EEaiIOaiAFIA5qKgIAjDgCACAHIANBCGoiDmogBSAOaioCAIw4AgAgByADQQxqIgNqIAMgBWoqAgCMOAIAIABBBGoiACAGRw0ACwsgBEEBaiIEIApHDQALDAgLQbzDAigCABAwGiACQZshNgI4IAJB6sMANgI0IAJB5CY2AjBBuMMCKAIAQcvkACACQTBqEDEMNwsgBCgCAEUEQAJAIAAoAgAOAwgACAALIAQpAyggBCkDICAEKQMYfn6nIgpBAEwNByAEKAIQIgZBAEwNByAEKAI0IQggASgCNCELIAQoAtABIQwgASgC0AEhDSAGQQNxIQkgBkF8cSEBQQAhBCAGQQRJIQ8DQCAMIAQgCGxqIQUgDSAEIAtsaiEHQQAhAAJAAkAgDw0AIAcgBWtBEEkNAANAIAcgAEECdCIDav0MAACAPwAAgD8AAIA/AACAP/0MAAAAAAAAAAAAAAAAAAAAACADIAVq/QACAP0MAAAAAAAAAAAAAAAAAAAAAP1E/VL9CwIAIABBBGoiACABRw0ACyABIgAgBkYNAQsgAEF/cyAGaiHTAUEAIQMgCQRAA0AgByAAQQJ0IhBqQwAAgD9DAAAAACAFIBBqKgIAQwAAAABeGzgCACAAQQFqIQAgA0EBaiIDIAlHDQALCyDTAUEDSQ0AA0AgByAAQQJ0IgNqQwAAgD9DAAAAACADIAVqKgIAQwAAAABeGzgCACAHIANBBGoiDmpDAACAP0MAAAAAIAUgDmoqAgBDAAAAAF4bOAIAIAcgA0EIaiIOakMAAIA/QwAAAAAgBSAOaioCAEMAAAAAXhs4AgAgByADQQxqIgNqQwAAgD9DAAAAACADIAVqKgIAQwAAAABeGzgCACAAQQRqIgAgBkcNAAsLIARBAWoiBCAKRw0ACwwHC0G8wwIoAgAQMBogAkGbITYCSCACQZTEADYCRCACQeQmNgJAQbjDAigCAEHL5AAgAkFAaxAxDDYLIAQoAgBFBEACQCAAKAIADgMHAAcACyAEKQMoIAQpAyAgBCkDGH5+pyIFQQBMDQYgBCgCECIHQQBMDQYgBCgCNCEGIAEoAjQhCSAEKALQASEEIAEoAtABIQEDQCAEIAMgBmxqIQogASADIAlsaiEIQQAhAANAIAggAEECdCILaiAKIAtqKgIAEI0EOAIAIABBAWoiACAHRw0ACyADQQFqIgMgBUcNAAsMBgtBvMMCKAIAEDAaIAJBmyE2AlggAkG+xAA2AlQgAkHkJjYCUEG4wwIoAgBBy+QAIAJB0ABqEDEMNQsgBCgCAEUEQAJAIAAoAgAOAwYABgALIAQpAyggBCkDICAEKQMYfn6nIgZBAEwNBSAEKAIQIgNBAEwNBSAEKAI0IQkgASgCNCEKIAQoAtABIQggASgC0AEhC0EAIQRBACADayEMIANBAXEhDSADQXxxIQEgA0EESSEPA0AgCCAEIAlsaiEFIAsgBCAKbGohB0EAIQACQAJAIA8NACAHIAVrQRBJDQADQCAFIABBAnQiDmr9AAIAIZICIAcgDmogkgIgkgL9HwAQRf0TIJIC/R8BEEX9IAEgkgL9HwIQRf0gAiCSAv0fAxBF/SAD/QwAAIC/AACAvwAAgL8AAIC//eQBIJIC/QwAAAAAAAAAAAAAAAAAAAAA/UT9Uv0LAgAgAEEEaiIAIAFHDQALIAEiACADRg0BCyAAQX9zIQ4gDQRAIAUgAEECdCIQaioCACKyAkMAAAAAXkUEQCCyAhBFQwAAgL+SIbICCyAHIBBqILICOAIAIABBAXIhAAsgDCAORg0AA0AgBSAAQQJ0Ig5qKgIAIrICQwAAAABeRQRAILICEEVDAACAv5IhsgILIAcgDmogsgI4AgAgBSAAQQFqQQJ0Ig5qKgIAIrICQwAAAABeRQRAILICEEVDAACAv5IhsgILIAcgDmogsgI4AgAgAEECaiIAIANHDQALCyAEQQFqIgQgBkcNAAsMBQtBvMMCKAIAEDAaIAJBmyE2AmggAkHoxAA2AmQgAkHkJjYCYEG4wwIoAgBBy+QAIAJB4ABqEDEMNAsgBCgCAEUEQAJAIAAoAgAOAwUABQALIAQpAyggBCkDICAEKQMYfn6nIgpBAEwNBCAEKAIQIgZBAEwNBCAEKAI0IQggASgCNCELIAQoAtABIQwgASgC0AEhDSAGQQNxIQkgBkF8cSEBQQAhBCAGQQRJIQ8DQCAMIAQgCGxqIQUgDSAEIAtsaiEHQQAhAAJAAkAgDw0AIAcgBWtBEEkNAANAIAcgAEECdCIDav0MAAAAAAAAAAAAAAAAAAAAACADIAVq/QACAP3rAf0LAgAgAEEEaiIAIAFHDQALIAEiACAGRg0BCyAAQX9zIAZqIdQBQQAhAyAJBEADQCAHIABBAnQiEGogBSAQaioCACKyAkMAAAAAILICQwAAAABeGzgCACAAQQFqIQAgA0EBaiIDIAlHDQALCyDUAUEDSQ0AA0AgByAAQQJ0IgNqIAMgBWoqAgAisgJDAAAAACCyAkMAAAAAXhs4AgAgByADQQRqIg5qIAUgDmoqAgAisgJDAAAAACCyAkMAAAAAXhs4AgAgByADQQhqIg5qIAUgDmoqAgAisgJDAAAAACCyAkMAAAAAXhs4AgAgByADQQxqIgNqIAMgBWoqAgAisgJDAAAAACCyAkMAAAAAXhs4AgAgAEEEaiIAIAZHDQALCyAEQQFqIgQgCkcNAAsMBAtBvMMCKAIAEDAaIAJBmyE2AnggAkGSxQA2AnQgAkHkJjYCcEG4wwIoAgBBy+QAIAJB8ABqEDEMMwsgBCgCAEUEQCAEKAIwQQRHDQcgBDUCOCLZASAEKQMYItgBIAQoAjQiB61+Ug0HIAQ1Ajwg2QEgBCkDICLaAX5SDQcgASgCMCABKAIAQSRsQZibAWooAgBHDQggATUCOCLZASABKQMYItsBIAEoAjQiBq1+Ug0IIAE1Ajwg2QEgASkDICLcAX5SDQgg2gEg3AFSDQkg2AEg2wFSDQkgBCkDECLZASABKQMQUg0JIAQpAygi2wEgASkDKFINCQJAIAAoAgAOAwQABAALINgBINoBfiDbAX6nIgUgACgCCCIDakEBayADbSIJIAAoAgRsIgMgAyAJaiIAIAUgACAFSBsiBU4NAyDZAaciCUEATA0DIAQoAtABIQQgASgC0AEhAQNAIAQgAyAHbGohCiABIAMgBmxqIQhBACEAA0AgCCAAQQJ0IgtqQYD8ASAKIAtqKgIAIrICi0MAAIB3lEMAAIAIlEGAgICIByCyArwiC0EBdCIMQYCAgHhxIg0gDUGAgICIB00bQQF2QYCAgDxqvpK8Ig1BDXZBgPgBcSANQf8fcWogDEGAgIB4SxsgC0EQdkGAgAJxckEBdEGQ1hRqLwEAQQJ0QZDWBGoqAgA4AgAgAEEBaiIAIAlHDQALIANBAWoiAyAFRw0ACwwDC0G8wwIoAgAQMBogAkGbITYCuAEgAkHNxQA2ArQBIAJB5CY2ArABQbjDAigCAEHL5AAgAkGwAWoQMQwyCyAEKAIARQRAIAQoAjBBBEcNCSAENQI4ItkBIAQpAxgi2AEgBCgCNCIHrX5SDQkgBDUCPCDZASAEKQMgItoBflINCSABKAIwIAEoAgBBJGxBmJsBaigCAEcNCiABNQI4ItkBIAEpAxgi2wEgASgCNCIGrX5SDQogATUCPCDZASABKQMgItwBflINCiDaASDcAVINCyDYASDbAVINCyAEKQMQItkBIAEpAxBSDQsgBCkDKCLbASABKQMoUg0LAkAgACgCAA4DAwADAAsg2AEg2gF+INsBfqciBSAAKAIIIgNqQQFrIANtIgkgACgCBGwiAyADIAlqIgAgBSAAIAVIGyIFTg0CINkBpyIJQQBMDQIgBCgC0AEhBCABKALQASEBA0AgBCADIAdsaiEKIAEgAyAGbGohCEEAIQADQCAIIABBAnQiC2pBgPwBIAogC2oqAgAisgKLQwAAgHeUQwAAgAiUQYCAgIgHILICvCILQQF0IgxBgICAeHEiDSANQYCAgIgHTRtBAXZBgICAPGq+krwiDUENdkGA+AFxIA1B/x9xaiAMQYCAgHhLGyALQRB2QYCAAnFyQQF0QZDWHGovAQBBAnRBkNYEaioCADgCACAAQQFqIgAgCUcNAAsgA0EBaiIDIAVHDQALDAILQbzDAigCABAwGiACQZshNgL4ASACQYjGADYC9AEgAkHkJjYC8AFBuMMCKAIAQcvkACACQfABahAxDDELIAQoAgANASAEKAIwQQRHDQogBDUCOCLZASAEKQMYItgBIAQoAjQiB61+Ug0KIAQ1Ajwg2QEgBCkDICLaAX5SDQogASgCMCABKAIAQSRsQZibAWooAgBHDQsgATUCOCLZASABKQMYItsBIAEoAjQiBq1+Ug0LIAE1Ajwg2QEgASkDICLcAX5SDQsg2gEg3AFSDQwg2AEg2wFSDQwgBCkDECLZASABKQMQUg0MIAQpAygi2wEgASkDKFINDAJAIAAoAgAOAwEAAQALINgBINoBfiDbAX6nIgUgACgCCCIDakEBayADbSIJIAAoAgRsIgMgAyAJaiIAIAUgACAFSBsiBU4NACDZAaciCUEATA0AIAQoAtABIQQgASgC0AEhAQNAIAQgAyAHbGohCiABIAMgBmxqIQhBACEAA0AgCCAAQQJ0IgtqQYD8ASAKIAtqKgIAIrICi0MAAIB3lEMAAIAIlEGAgICIByCyArwiC0EBdCIMQYCAgHhxIg0gDUGAgICIB00bQQF2QYCAgDxqvpK8Ig1BDXZBgPgBcSANQf8fcWogDEGAgIB4SxsgC0EQdkGAgAJxckEBdEGQ1iRqLwEAQQJ0QZDWBGoqAgA4AgAgAEEBaiIAIAlHDQALIANBAWoiAyAFRw0ACwsgAkHQAmokAAwMC0G8wwIoAgAQMBogAkGbITYCuAIgAkHDxgA2ArQCIAJB5CY2ArACQbjDAigCAEHL5AAgAkGwAmoQMQwuC0G8wwIoAgAQMBogAkGbITYCCCACQczpADYCBCACQeQmNgIAQbjDAigCAEHL5AAgAhAxDC0LQbzDAigCABAwGiACQb8qNgLIAiACQeoXNgLEAiACQeQmNgLAAkG4wwIoAgBBy+QAIAJBwAJqEDEMLAtBvMMCKAIAEDAaIAJBv9sANgKoASACQZ3FADYCpAEgAkHkJjYCoAFBuMMCKAIAQcvkACACQaABahAxDCsLQbzDAigCABAwGiACQfnNADYCmAEgAkGexQA2ApQBIAJB5CY2ApABQbjDAigCAEHL5AAgAkGQAWoQMQwqC0G8wwIoAgAQMBogAkG5zwA2AogBIAJBn8UANgKEASACQeQmNgKAAUG4wwIoAgBBy+QAIAJBgAFqEDEMKQtBvMMCKAIAEDAaIAJBv9sANgLoASACQdjFADYC5AEgAkHkJjYC4AFBuMMCKAIAQcvkACACQeABahAxDCgLQbzDAigCABAwGiACQfnNADYC2AEgAkHZxQA2AtQBIAJB5CY2AtABQbjDAigCAEHL5AAgAkHQAWoQMQwnC0G8wwIoAgAQMBogAkG5zwA2AsgBIAJB2sUANgLEASACQeQmNgLAAUG4wwIoAgBBy+QAIAJBwAFqEDEMJgtBvMMCKAIAEDAaIAJBv9sANgKoAiACQZPGADYCpAIgAkHkJjYCoAJBuMMCKAIAQcvkACACQaACahAxDCULQbzDAigCABAwGiACQfnNADYCmAIgAkGUxgA2ApQCIAJB5CY2ApACQbjDAigCAEHL5AAgAkGQAmoQMQwkC0G8wwIoAgAQMBogAkG5zwA2AogCIAJBlcYANgKEAiACQeQmNgKAAkG4wwIoAgBBy+QAIAJBgAJqEDEMIwsMDgsgASgCjAEhBCMAQRBrIgIkAAJAIAQoAgBBAUYEQAJAAkAgACgCAA4DAQABAAsgASkDICLjAUIAVw0AIAEpAxgi3wFCAFcNACABKQMQItkBQgBXDQAg2QFCA4Mh4QEg2QFCeIMh2gEgBCkDECLgAUL+////D34h5AEg4AFCAYYh5QEg2QFCAYYh5gEg2QEg3wF+QgGGIecBIAQoAtABIgAg4AGnIN8Bp0EBa2xBAXRqrSHoASABKALQASIBrSHpAQNAINsBIN8BfiHqASDbASDfAXwh6wEg2wEg5QF+IOgBfCHsASDbASDnAX4g6QF8Ie0BQgAh3AEDQCDcASDqAXwg2QF+Id0BIOsBINwBQn+FfCDgAX4h3gFCACHiAUIAIdgBAkACQCDZAUIIVA0AIO0BINwBIOYBfnynIOwBINwBIOQBfnyna0EQSQ0AA0AgASDYASDdAXynQQF0aiAAINgBIN4BfKdBAXRq/QABAP0LAQAg2AFCCHwi2AEg2gFSDQALINoBItgBINkBUQ0BCyDZASDYAUJ/hXwhkQIg4QFCAFIEQANAIAEg2AEg3QF8p0EBdGogACDYASDeAXynQQF0ai8BADsBACDYAUIBfCHYASDiAUIBfCLiASDhAVINAAsLIJECQgNUDQADQCABINgBIN0BfKdBAXRqIAAg2AEg3gF8p0EBdGovAQA7AQAgASDYAUIBfCLiASDdAXynQQF0aiAAIN4BIOIBfKdBAXRqLwEAOwEAIAEg2AFCAnwi4gEg3QF8p0EBdGogACDeASDiAXynQQF0ai8BADsBACABINgBQgN8IuIBIN0BfKdBAXRqIAAg3gEg4gF8p0EBdGovAQA7AQAg2AFCBHwi2AEg2QFSDQALCyDcAUIBfCLcASDfAVINAAsg2wFCAXwi2wEg4wFSDQALCyACQRBqJAAMAQtBvMMCKAIAEDAaIAJBmyE2AgggAkH56QA2AgQMFAsMDQsgASgCjAEhAyABKAKQASECIAEoApQBIQcjAEEQayIEJAACQCADKAIARQRAAkAgACgCACIFIAEoAkRyRQRAIAEpAyAh2AEgASkDGCHaASADKALQASEAIAEoAtABIQIgASgCACIDQRBrQXFNBEAgAiAAIANBJGxBmJsBaigCACABKAIwIAEoAhBBAWtsaiABKAI0INoBp0EBa2xqIAEoAjgg2AGnQQFrbGogASgCPCABKAIoQQFrbGr8CgAADAILIAIgACABNQI0INoBQgF9fiABKQMQIAE1AjB+IANBJGxBlJsBajUCAH98IAE1Ajgg2AFCAX1+fCABNQI8IAEpAyhCAX1+fKf8CgAADAELAkAgBQ4DAQABAAsgAigCKCIDIAAoAggiBWpBAWsgBW0iBiAAKAIEbCIFIAUgBmoiACADIAAgA0gbIgBODQAgAikDICLgAUIAVw0AIAIpAxgi4QFCAFcNACACKQMQItgBQgBXDQAgAKwh4wEgASgC0AEhACAHKALQASEBIAIoAtABIQJCASDYAX0h5AEg2AFCfoMh5QEg2AFCAYMh5gEgBawh2wEg2AFCAVEhAwNAINsBIOABfiHnAUIAIdwBA0Ag3AEg5wF8IOEBfiHoAUIAId0BA0Ag3QEg6AF8INgBfiHpAUIAIdkBA0Ag2QEg6QF8ItoBINgBfiLeASDZASDkAX58Id8BIAEg2gGnQQJ0IgVqKgIAIbICIAIgBWoqAgAhswJCACHaAUIAIeIBIANFBEADQCAAINoBIN4BfKdBAnRqIgUgsgIgBSoCAJI4AgAgACDfASDYASDaAX58p0ECdGoiBSCzAiAFKgIAkjgCACAAINoBQgGEIuoBIN4BfKdBAnRqIgUgsgIgBSoCAJI4AgAgACDfASDYASDqAX58p0ECdGoiBSCzAiAFKgIAkjgCACDaAUICfCHaASDiAUICfCLiASDlAVINAAsLIOYBpwRAIAAg2gEg3gF8p0ECdGoiBSCyAiAFKgIAkjgCACAAIN8BINgBINoBfnynQQJ0aiIFILMCIAUqAgCSOAIACyDZAUIBfCLZASDYAVINAAsg3QFCAXwi3QEg4QFSDQALINwBQgF8ItwBIOABUg0ACyDbAUIBfCLbASDjAVINAAsLIARBEGokAAwBC0G8wwIoAgAQMBogBEGbITYCCCAEQc7qADYCBAwXCwwMCyABKAKMASECIAEoAkQhAyMAQSBrIgQkAAJAAkAgAigCAEUEQCACKQMQItgBIAEpAxBSDQEgAikDGCLaASABKQMYUg0BIAIpAyAi2QEgASkDIFINASACKQMoItsBIAEpAyhSDQECQAJAIAAoAgAOAwEAAQALINkBINoBfiDbAX6nIgVBAEwNACDYAachB0EAIQAgBUEBRwRAIAVBfnEhCQNAIAcgASgC0AEgASgCNCAAbGogAigC0AEgAigCNCAAbGogAxEFACAHIAEoAtABIABBAXIiCiABKAI0bGogAigC0AEgAigCNCAKbGogAxEFACAAQQJqIQAgBkECaiIGIAlHDQALCyAFQQFxRQ0AIAcgASgC0AEgASgCNCAAbGogAigC0AEgAigCNCAAbGogAxEFAAsgBEEgaiQADAILQbzDAigCABAwGiAEQZshNgIYIARB+eoANgIUDCALQbzDAigCABAwGiAEQbnPADYCCCAEQdrqADYCBAwWCwwLCyABKAKMASECIAEoApABIQMgASgCRCEFIwBBEGsiBCQAAkAgAigCAEUEQAJAAkAgACgCAA4DAQABAAsgAikDKCACKQMgIAIpAxh+fqciB0EATA0AIAIoAhAhBkEAIQADQCAGIAEoAtABIAEoAjQgAGxqIAIoAtABIAIoAjQgAGxqIAMoAtABIAMoAjQgAGxqIAURBgAgAEEBaiIAIAdHDQALCyAEQRBqJAAMAQtBvMMCKAIAEDAaIARBmyE2AgggBEGp6wA2AgQMFQsMCgsCQCAAKAIADgMKAAoACyABIAEoAowBIAEoAkQRAgAMCQsCQCAAKAIADgMJAAkACyABIAEoAowBIAEoApABIAEoAkQRBQAMCAsCQCAAKAIADgMIAAgACyABIAEoAowBIAEoApABIAEoApQBIAEoAkQRBgAMBwsgASgCjAEhAgJAAkAgACgCAA4DAQABAAsgASACIAAoAgQgACgCCCABKAJMIAEoAkQRCwALDAYLIAEoAowBIQIgASgCkAEhBAJAAkAgACgCAA4DAQABAAsgASACIAQgACgCBCAAKAIIIAEoAkwgASgCRBEMAAsMBQsgASgCjAEhAiABKAKQASEEIAEoApQBIQMCQAJAIAAoAgAOAwEAAQALIAEgAiAEIAMgACgCBCAAKAIIIAEoAkwgASgCRBEQAAsMBAsgACEEIAEoAowBIQkgASgCkAEhCiMAQeAAayIFJAACQAJAAn0CQCAJKAIARQRAAkAgCSgCMEEERw0AIAk1AjQi2QEgCSkDECLYAUIChlINACAJNQI4ItsBINkBIAkpAxgi2gF+Ug0AIAk1Ajwg2wEgCSkDICLZAX5SDQACQCAKKAIwIgAgCigCAEEkbCICQZibAWooAgBHDQAgCjUCNCLbASAKKQMQItwBIACtfiACQZSbAWo0AgB/Ug0AIAo1Ajgi3QEg2wEgCikDGCLeAX5SDQAgCjUCPCDdASAKKQMgItsBflINAAJAIAEpAxBCAVINACABKQMYQgFSDQAgASkDIEIBUg0AIAEpAyhCAVINAAJAINgBINwBUg0AINoBIN4BUg0AINkBINsBUg0AIAkpAygi2wEgCikDKFINACAEKAIIIgAg2AGnIgZBAnQiE0EEamwiAyAEKAIMTQRAINkBINoBfiDbAX6nIQIgBCgCECEHIAQoAgQhCAJAAkACQCAEKAIADgMAAgECCyAIDQogB0EAIAP8CwAMCgsgCA0JIAEoAtABIQlDAAAAACAAQQBMDQgaIABBA3EhBEEAIQMgAEEESQRAQQAhAAwICyAAQXxxIQpBACEAQQAhBgNAILgCIAcgAEECdCIBaioCALugIAcgAUEEcmoqAgC7oCAHIAFBCHJqKgIAu6AgByABQQxyaioCALugIbgCIABBBGohACAGQQRqIgYgCkcNAAsMBwsgACACakEBayAAbSIBIAhsIg0gASANaiIBIAIgASACSBsiFk4NCCAGQXBxIgIgBkEPcSIVIAZBA3EiDGsiGGohAyAAQQJ0IhogCEECdCIAQQRqIAZsaiEZIAZBfHEhASAGQX5xIRQgBkEBcSEXIAZBAWshDiAAIAdqIRAgAkEBayIbQQR2QQFqIgBB/v///wFxIRwgAEEBcSEdIAYgCGxBAnQhHwNAIAQoAhAiHiAaaiAfaiEHIAooAjQhIyAKKALQASERAkAgBkEATCIlBEBEAAAAAAAAAAAhuAIMAQsgCSgC0AEgCSgCNCANbGohC0MAAID/IbICQQAhD0EAIQBBACESIA5BA08EQANAILICIAsgAEECdCIIaioCACKzAiCyAiCzAl4bIrICIAsgCEEEcmoqAgAiswIgsgIgswJeGyKyAiALIAhBCHJqKgIAIrMCILICILMCXhsisgIgCyAIQQxyaioCACKzAiCyAiCzAl4bIbICIABBBGohACASQQRqIhIgAUcNAAsLIAwEQANAILICIAsgAEECdGoqAgAiswIgsgIgswJeGyGyAiAAQQFqIQAgD0EBaiIPIAxHDQALC0QAAAAAAAAAACG4AkEAIQBBACEIIA4EQANAQwAAAAAhswICQCALIABBAnQiD2oqAgAitAJDAACA/1sEQEMAAAAAIbQCDAELILgCILQCILICkxBFIrQCu6AhuAILIAcgD2ogtAI4AgAgCyAAQQFyQQJ0Ig9qKgIAIrQCQwAAgP9cBEAguAIgtAIgsgKTEEUiswK7oCG4AgsgByAPaiCzAjgCACAAQQJqIQAgCEECaiIIIBRHDQALCyAXRQ0AQwAAAAAhswIgCyAAQQJ0IgBqKgIAIrQCQwAAgP9cBEAguAIgtAIgsgKTEEUiswK7oCG4AgsgACAHaiCzAjgCAAtEoY92////7z8guAKjtiGyAgJAIAJBAEwNACCyAv0TIZICQQAhAEEAIQggG0EPRwRAA0AgByAAQQJ0Ig9qIgsgkgIgC/0AAAD95gH9CwAAIAsgkgIgC/0AABD95gH9CwAQIAsgkgIgC/0AACD95gH9CwAgIAsgkgIgC/0AADD95gH9CwAwIAcgD0HAAHJqIgsgkgIgC/0AAAD95gH9CwAAIAsgkgIgC/0AABD95gH9CwAQIAsgkgIgC/0AACD95gH9CwAgIAsgkgIgC/0AADD95gH9CwAwIABBIGohACAIQQJqIgggHEcNAAsLIB1FDQAgByAAQQJ0aiIAIJICIAD9AAAA/eYB/QsAACAAIJICIAD9AAAQ/eYB/QsAECAAIJICIAD9AAAg/eYB/QsAICAAIJICIAD9AAAw/eYB/QsAMAsCQCACIAZODQAgAiEAIBVBBE8EQCCyAv0TIZICQQAhAANAIAcgACACakECdGoiCCAI/QACACCSAv3mAf0LAgAgAEEEaiIAIBhHDQALIAMhACAMRQ0BCwNAIAcgAEECdGoiCCAIKgIAILIClDgCACAAQQFqIgAgBkcNAAsLIBAgJQR9QwAAAAAFQQAhAAJAIAZBBEkiCEUEQANAIAcgAEECdGoiCyAL/QACAP0MX3CJMF9wiTBfcIkwX3CJMP3kAf0LAgAgAEEEaiIAIAFHDQALIAEiACAGRg0BCwNAIAcgAEECdGoiCyALKgIAQ19wiTCSOAIAIABBAWoiACAGRw0ACwsgDSAjbCEPQQAhAAJAIAhFBEADQCAHIABBAnRqIgggCP0AAgAikgL9HwAQV/0TIJIC/R8BEFf9IAEgkgL9HwIQV/0gAiCSAv0fAxBX/SAD/QsCACAAQQRqIgAgAUcNAAsgASIAIAZGDQELA0AgByAAQQJ0aiIIIAgqAgAQVzgCACAAQQFqIgAgBkcNAAsLIA8gEWohC0EAIQhBACEAAkACQCAGQQhJDQAgCyAZIB5qSSARIBNqIA9qIAdLcQ0AA0AgByAAQQJ0Ig9qIhEgEf0AAgAgCyAPav0AAgD95gH9CwIAIABBBGoiACABRw0ACyABIgAgBkYNAQsgAEF/cyAGaiHVASAMBEADQCAHIABBAnQiEWoiEiASKgIAIAsgEWoqAgCUOAIAIABBAWohACAIQQFqIgggDEcNAAsLINUBQQJNDQADQCAHIABBAnQiCGoiDyAPKgIAIAggC2oqAgCUOAIAIAcgCEEEaiIPaiIRIBEqAgAgCyAPaioCAJQ4AgAgByAIQQhqIg9qIhEgESoCACALIA9qKgIAlDgCACAHIAhBDGoiCGoiDyAPKgIAIAggC2oqAgCUOAIAIABBBGoiACAGRw0ACwtEAAAAAAAAAAAhuAJBACEIQQAhAEEAIQ8gDkEDTwRAA0AguAIgByAAQQJ0IgtqKgIAu6AgByALQQRyaioCALugIAcgC0EIcmoqAgC7oCAHIAtBDHJqKgIAu6AhuAIgAEEEaiEAIA9BBGoiDyABRw0ACwsgDARAA0AguAIgByAAQQJ0aioCALugIbgCIABBAWohACAIQQFqIgggDEcNAAsLILgCtgsgECoCAJI4AgAgFiANQQFqIg1HDQALDAgLQbzDAigCABAwGiAFQanWADYCCCAFQabsADYCBCAFQeQmNgIAQbjDAigCAEHL5AAgBRAxDCALQbzDAigCABAwGiAFQYvZADYCGCAFQZvsADYCFCAFQeQmNgIQQbjDAigCAEHL5AAgBUEQahAxDB8LQbzDAigCABAwGiAFQeXNADYCKCAFQZrsADYCJCAFQeQmNgIgQbjDAigCAEHL5AAgBUEgahAxDB4LQbzDAigCABAwGiAFQbvYADYCOCAFQZnsADYCNCAFQeQmNgIwQbjDAigCAEHL5AAgBUEwahAxDB0LQbzDAigCABAwGiAFQd/ZADYCSCAFQZjsADYCRCAFQeQmNgJAQbjDAigCAEHL5AAgBUFAaxAxDBwLQbzDAigCABAwGiAFQZshNgJYIAVBie0ANgJUIAVB5CY2AlBBuMMCKAIAQcvkACAFQdAAahAxDBsLIAQEQANAILgCIAcgAEECdGoqAgC7oCG4AiAAQQFqIQAgA0EBaiIDIARHDQALCyC4ArYLIbICIAlDAACAvyACspUgsgKUOAIACyAFQeAAaiQADAALDAMLIAEoAowBIQkgASgCkAEhCiABKAKUASECIAEhAyMAQeAAayIFJAACQCAJKAIARQRAAkAgASgCMCIBIAMoAgBBJGwiBEGYmwFqKAIARw0AIAM1AjQi2QEgAykDECLYASABrX4gBEGUmwFqNAIAf1INACADNQI4ItsBINkBIAMpAxgi2gF+Ug0AIAM1Ajwg2wEgAykDICLZAX5SDQACQCAJKAIwQQRHDQAgCTUCNCLdASAJKQMQItsBQgKGUg0AIAk1Ajgi3gEg3QEgCSkDGCLcAX5SDQAgCTUCPCDeASAJKQMgIt0BflINAAJAIAooAjAiASAKKAIAQSRsIgRBmJsBaigCAEcNACAKNQI0It4BIAopAxAi3wEgAa1+IARBlJsBajQCAH9SDQAgCjUCOCLgASDeASAKKQMYIuEBflINACAKNQI8IOABIAopAyAi3gF+Ug0AAkAgAigCMCIBIAIoAgBBJGwiBEGYmwFqKAIARw0AIAI1AjQi4AEgAikDECABrX4gBEGUmwFqNAIAf1INACACNQI4IuIBIAIpAxgg4AF+Ug0AIAI1AjwgAikDICDiAX5SDQACQCDbASDfAVINACDcASDhAVINACDdASDeAVINACDZASDdAVINACDaASDcAVINACDYASDbAVINACAJKQMoItsBIAopAyhSDQAg2wEgAykDKFINAAJAAkAgACgCAA4DAQABAAsg2QEg2gF+INsBfiLZASAANAIIItoBfEIBfSDaAX8i2wEgADQCBH4i2gEg2gEg2wF8ItsBINkBINkBINsBVRsi3AFZDQAgAigC0AEhGCDYAaciBkFwcSIBIAZBD3EiDSAGQQNxIgxrIg9qIQQg2AFCfoMh3QEg2AFCAYMh3gEgBkF8cSECIAZBAnQhDiABQQFrIhBBBHZBAWoiAEH+////AXEhESAAQQFxIRIg2QG0IbUCIAZBAWtBA0khGgNAIAkoAtABINoBpyITIAkoAjRsaiEAIAMoAjQgE2whFkMAAID/IbICAkAgBkEATCIZDQBBACEIQQAhB0EAIRUgGkUEQANAILICIAAgB0ECdCILaioCACKzAiCyAiCzAl4bIrICIAAgC0EEcmoqAgAiswIgsgIgswJeGyKyAiAAIAtBCHJqKgIAIrMCILICILMCXhsisgIgACALQQxyaioCACKzAiCyAiCzAl4bIbICIAdBBGohByAVQQRqIhUgAkcNAAsLIAxFDQADQCCyAiAAIAdBAnRqKgIAIrMCILICILMCXhshsgIgB0EBaiEHIAhBAWoiCCAMRw0ACwsgCigCNCEUIAooAtABIRUgAygC0AEiFyAWaiEHAkAg2AFCAFcEQEQAAAAAAAAAACG4AgwBC0QAAAAAAAAAACG4AkIAIdkBQgAh2wEg2AFCAVIEQANAQwAAAAAhswICQCAAINkBpyIIQQJ0IgtqKgIAIrQCQwAAgP9bBEBDAAAAACG0AgwBCyC4AiC0AiCyApMQRSK0ArugIbgCCyAHIAtqILQCOAIAIAAgCEEBckECdCIIaioCACK0AkMAAID/XARAILgCILQCILICkxBFIrMCu6AhuAILIAcgCGogswI4AgAg2QFCAnwh2QEg2wFCAnwi2wEg3QFSDQALCyDeAVANAEMAAAAAIbMCIAAg2QGnQQJ0IghqKgIAIrQCQwAAgP9cBEAguAIgtAIgsgKTEEUiswK7oCG4AgsgByAIaiCzAjgCAAtEoY92////7z8guAKjtiGyAgJAIAFBAEwiGw0AILIC/RMhkgJBACEAQQAhCCAQQQ9HBEADQCAHIABBAnQiHGoiCyCSAiAL/QAAAP3mAf0LAAAgCyCSAiAL/QAAEP3mAf0LABAgCyCSAiAL/QAAIP3mAf0LACAgCyCSAiAL/QAAMP3mAf0LADAgByAcQcAAcmoiCyCSAiAL/QAAAP3mAf0LAAAgCyCSAiAL/QAAEP3mAf0LABAgCyCSAiAL/QAAIP3mAf0LACAgCyCSAiAL/QAAMP3mAf0LADAgAEEgaiEAIAhBAmoiCCARRw0ACwsgEkUNACAHIABBAnRqIgAgkgIgAP0AAAD95gH9CwAAIAAgkgIgAP0AABD95gH9CwAQIAAgkgIgAP0AACD95gH9CwAgIAAgkgIgAP0AADD95gH9CwAwCwJAIAEgBk4iHA0AIAEhACANQQRPBEAgsgL9EyGSAkEAIQADQCAHIAAgAWpBAnRqIgggCP0AAgAgkgL95gH9CwIAIABBBGoiACAPRw0ACyAEIQAgDEUNAQsDQCAHIABBAnRqIgggCCoCACCyApQ4AgAgAEEBaiIAIAZHDQALCwJAIBkNACATIBRsIRNBACEAAkAgBkEETwRAA0AgByAAQQJ0aiIIIAj9AAIA/QxfcIkwX3CJMF9wiTBfcIkw/eQB/QsCACAAQQRqIgAgAkcNAAsgBiACIgBGDQELA0AgByAAQQJ0aiIIIAgqAgBDX3CJMJI4AgAgAEEBaiIAIAZHDQALCyATIBVqIQtBACEIQQAhAAJAIAZBCEkNACALIA4gF2ogFmpJIA4gFWogE2ogB0txDQADQCAHIABBAnQiE2oiFiAW/QACACALIBNq/QACAP3lAf0LAgAgAEEEaiIAIAJHDQALIAYgAiIARg0BCyAAQX9zIAZqIdYBIAwEQANAIAcgAEECdCIWaiIVIBUqAgAgCyAWaioCAJM4AgAgAEEBaiEAIAhBAWoiCCAMRw0ACwsg1gFBA0kNAANAIAcgAEECdCIIaiITIBMqAgAgCCALaioCAJM4AgAgByAIQQRqIhNqIhYgFioCACALIBNqKgIAkzgCACAHIAhBCGoiE2oiFiAWKgIAIAsgE2oqAgCTOAIAIAcgCEEMaiIIaiITIBMqAgAgCCALaioCAJM4AgAgAEEEaiIAIAZHDQALCyAYKgIAILUClSGyAgJAIBsNACCyAv0TIZICQQAhAEEAIQggEEEPRwRAA0AgByAAQQJ0IhNqIgsgkgIgC/0AAAD95gH9CwAAIAsgkgIgC/0AABD95gH9CwAQIAsgkgIgC/0AACD95gH9CwAgIAsgkgIgC/0AADD95gH9CwAwIAcgE0HAAHJqIgsgkgIgC/0AAAD95gH9CwAAIAsgkgIgC/0AABD95gH9CwAQIAsgkgIgC/0AACD95gH9CwAgIAsgkgIgC/0AADD95gH9CwAwIABBIGohACAIQQJqIgggEUcNAAsLIBJFDQAgByAAQQJ0aiIAIJICIAD9AAAA/eYB/QsAACAAIJICIAD9AAAQ/eYB/QsAECAAIJICIAD9AAAg/eYB/QsAICAAIJICIAD9AAAw/eYB/QsAMAsCQCAcDQAgASEAIA1BBE8EQCCyAv0TIZICQQAhAANAIAcgACABakECdGoiCCCSAiAI/QACAP3mAf0LAgAgAEEEaiIAIA9HDQALIAQhACAMRQ0BCwNAIAcgAEECdGoiCCCyAiAIKgIAlDgCACAAQQFqIgAgBkcNAAsLINoBQgF8ItoBINwBUg0ACwsgBUHgAGokAAwGC0G8wwIoAgAQMBogBUHYzgA2AgggBUGa7QA2AgQgBUHkJjYCAEG4wwIoAgBBy+QAIAUQMQwcC0G8wwIoAgAQMBogBUGr2QA2AhggBUGZ7QA2AhQgBUHkJjYCEEG4wwIoAgBBy+QAIAVBEGoQMQwbC0G8wwIoAgAQMBogBUG72AA2AiggBUGY7QA2AiQgBUHkJjYCIEG4wwIoAgBBy+QAIAVBIGoQMQwaC0G8wwIoAgAQMBogBUHf2QA2AjggBUGX7QA2AjQgBUHkJjYCMEG4wwIoAgBBy+QAIAVBMGoQMQwZC0G8wwIoAgAQMBogBUH0ywA2AkggBUGW7QA2AkQgBUHkJjYCQEG4wwIoAgBBy+QAIAVBQGsQMQwYC0G8wwIoAgAQMBogBUGbITYCWCAFQfftADYCVCAFQeQmNgJQQbjDAigCAEHL5AAgBUHQAGoQMQwXCwwCC0G8wwIoAgAQMBogLkGbITYCGCAuQcvwADYCFCAuQeQmNgIQQbjDAigCAEHL5AAgLkEQahAxDBULIAAgASgCjAEgARD1AgsgLkFAayQADwtBvMMCKAIAEDAaIC5BxRA2AgggLkH/7QA2AgQgLkHkJjYCAEG4wwIoAgBBy+QAIC4QMQwSC0G8wwIoAgAQMBogLkGpPjYCKCAuQebvADYCJCAuQeQmNgIgQbjDAigCAEHL5AAgLkEgahAxDBELQbzDAigCABAwGiAuQak+NgI4IC5B8e8ANgI0IC5B5CY2AjBBuMMCKAIAQcvkACAuQTBqEDEMEAsgAkHkJjYCIEG4wwIoAgBBy+QAIAJBIGoQMQwPCyACQeQmNgIQQbjDAigCAEHL5AAgAkEQahAxDA4LIAJB5CY2AgBBuMMCKAIAQcvkACACEDEMDQsgAkHkJjYCMEG4wwIoAgBBy+QAIAJBMGoQMQwMCyACQeQmNgJAQbjDAigCAEHL5AAgAkFAaxAxDAsLIAVB5CY2AgBBuMMCKAIAQcvkACAFEDEMCgsgBEHkJjYCAEG4wwIoAgBBy+QAIAQQMQwJCyADQeQmNgIAQbjDAigCAEHL5AAgAxAxDAgLIANB5CY2AhBBuMMCKAIAQcvkACADQRBqEDEMBwsgA0HkJjYCIEG4wwIoAgBBy+QAIANBIGoQMQwGCyAFQeQmNgIQQbjDAigCAEHL5AAgBUEQahAxDAULIAVB5CY2AiBBuMMCKAIAQcvkACAFQSBqEDEMBAsgBEHkJjYCQEG4wwIoAgBBy+QAIARBQGsQMQwDCyAEQeQmNgIwQbjDAigCAEHL5AAgBEEwahAxDAILIARB5CY2AiBBuMMCKAIAQcvkACAEQSBqEDEMAQsgBEHkJjYCEEG4wwIoAgBBy+QAIARBEGoQMQsQAAALiAEBAX8gAC0AC0EHdgR/IAAoAghB/////wdxQQFrBUEKCyIDIAJPBEACfyAALQALQQd2BEAgACgCAAwBCyAACyIDIAEgAvwKAAAgACADIAIQnAMPCyAAIAMgAiADawJ/IAAtAAtBB3YEQCAAKAIEDAELIAAtAAtB/wBxCyIAQQAgACACIAEQzAELiAMBBX8jAEEQayIIJAAgAiABQX9zQe////8Hak0EQAJ/IAAtAAtBB3YEQCAAKAIADAELIAALIQogCEEEaiIJIAAgAUHn////A0kEfyAIIAFBAXQ2AgwgCCABIAJqNgIEIwBBEGsiAiQAIAkoAgAgCEEMaiILKAIASSEMIAJBEGokACALIAkgDBsoAgAiAkELTwR/IAJBEGpBcHEiAiACQQFrIgIgAkELRhsFQQoLQQFqBUHv////BwsQwwEgCCgCBCECIAgoAggaIAQEQCACIAogBBB3CyAGBEAgAiAEaiAHIAYQdwsgAyAEIAVqIglrIQcgAyAJRwRAIAIgBGogBmogBCAKaiAFaiAHEHcLIAFBAWoiAUELRwRAIAAgCiABEPEBCyAAIAI2AgAgACAAKAIIQYCAgIB4cSAIKAIIQf////8HcXI2AgggACAAKAIIQYCAgIB4cjYCCCAAIAQgBmogB2oiADYCBCAIQQA6AAwgACACaiAILQAMOgAAIAhBEGokAA8LEE0ACwsAIAQgAjYCAEEDC+kCAgV/AX4CfyMAQTBrIgMkAAJAAkAgAikDEEIBUg0AIAIpAxhCAVINACACKQMgQgFSDQAgAikDKEIBUg0AIAEoAjAgASgCACIEQSRsQZibAWooAgBHDQEgATUCOCIIIAEpAxggATUCNH5SDQEgATUCPCABKQMgIAh+Ug0BAn8CQCABKAKIAQ0AIAIoAogBDQBBAAwBC0EBCyEHIAAgBCABKAIMIAFBEGpBAEEAEEkiBEEaNgJAIAcEQCAAIAQoAgAgBCgCDCAEQRBqQQBBABBJIQULIAQgATYCjAEgBCAFNgKIASAEIAI2ApABIANBMGokACAEDAILQbzDAigCABAwGiADQYLXADYCKCADQcogNgIkIANB5CY2AiBBuMMCKAIAQcvkACADQSBqEDEQAAALQbzDAigCABAwGiADQfLXADYCGCADQcsgNgIUIANB5CY2AhBBuMMCKAIAQcvkACADQRBqEDEQAAALC3gBAn8jAEEQayIDJAAgA0EMaiIEIAEoAhwiATYCACABQQRqQQH+HgIAGiACIAQQvwEiASABKAIAKAIQEQAANgIAIAAgASABKAIAKAIUEQIAIAQoAgAiAEEEakF//h4CAEUEQCAAIAAoAgAoAggRAQALIANBEGokAAtwAQJ/IwBBEGsiAiQAIAJBDGoiAyAAKAIcIgA2AgAgAEEEakEB/h4CABogAxBsIgBB0OoCQerqAiABIAAoAgAoAjARCAAaIAMoAgAiAEEEakF//h4CAEUEQCAAIAAoAgAoAggRAQALIAJBEGokACABC3gBAn8jAEEQayIDJAAgA0EMaiIEIAEoAhwiATYCACABQQRqQQH+HgIAGiACIAQQwQEiASABKAIAKAIQEQAAOgAAIAAgASABKAIAKAIUEQIAIAQoAgAiAEEEakF//h4CAEUEQCAAIAAoAgAoAggRAQALIANBEGokAAsLACAAEJoEIAAQLwspAAJAIAAoAgBBAE4NACAAQf////8H/h4CAEGBgICAeEYNACAAEI4BCwtIAQJ/AkAgAigCTEEASARAIAAgASACEM4CIQAMAQsgAhCCASEEIAAgASACEM4CIQAgBEUNACACEIEBCyAAIAFGBEAgAQ8LIAALjwICAX8CfCAAQQNxBH9BZAVEAAAAAAAAAAAQ1gEjBkUEQAJ/EAMhBUEAQQAgAP5IApDxNBoCQBADIgQgBSACoCICZA0AAn8DQEEAIABBACAAQQD+SAKQ8TQiAyAAIANGG0UNARogBBDWASABIAD+EAIARgRAQQBBACAA/kgCkPE0GhADIgQgAmQNAwwBCwtBegsMAQtBACAAQQD+SAKQ8TQaQbd/Cw8LIAJEAAAAAAAA8H9iIQNBekG3f0EAIAAgAQJ+IAJEAAAAAABAj0CiRAAAAAAAQI9AoiICmUQAAAAAAADgQ2MEQCACsAwBC0KAgICAgICAgIB/C0J/IAMb/gECACIAQQJGGyAAQQFGGwsLJQACQCMFBEBBjPE0/hACAA0BENoGCw8LQYzxNP4QAgAQJxAmAAuyAQMCfAF/AX4jASIDLQAIRQRAIAMQKDoACSADQQE6AAgLIAACfgJ8IwEtAAkEQBADDAELIwNBHGpBHDYCAA8LIgFEAAAAAABAj0CjIgKZRAAAAAAAAOBDYwRAIAKwDAELQoCAgICAgICAgH8LIgQ3AwAgAAJ/IAEgBELoB365oUQAAAAAAECPQKJEAAAAAABAj0CiIgGZRAAAAAAAAOBBYwRAIAGqDAELQYCAgIB4CzYCCAvKBAICfwJ8IwBBEGshBCACKwMAIQYCfwJAIAErAwAiByAAKwMAZEUEQEEAIAYgB2RFDQIaIAQgAf0AAwD9CwMAIAEgAigCCDYCCCABIAIpAwA3AwAgAiAEKAIINgIIIAIgBCkDADcDAEEBIAErAwAgACsDAGRFDQIaIAQgAP0AAwD9CwMAIAAgASgCCDYCCCAAIAEpAwA3AwAgASAEKAIINgIIIAEgBCkDADcDAAwBCyAGIAdkBEAgBCAA/QADAP0LAwAgACACKAIINgIIIAAgAikDADcDACACIAQoAgg2AgggAiAEKQMANwMAQQEMAgsgBCAA/QADAP0LAwAgACABKAIINgIIIAAgASkDADcDACABIAQoAgg2AgggASAEKQMANwMAQQEgAisDACABKwMAZEUNARogBCAB/QADAP0LAwAgASACKAIINgIIIAEgAikDADcDACACIAQoAgg2AgggAiAEKQMANwMAC0ECCyEFIAMrAwAgAisDAGQEfyAEIAL9AAMA/QsDACACIAMoAgg2AgggAiADKQMANwMAIAMgBCgCCDYCCCADIAQpAwA3AwAgAisDACABKwMAZEUEQCAFQQFqDwsgBCAB/QADAP0LAwAgASACKAIINgIIIAEgAikDADcDACACIAQoAgg2AgggAiAEKQMANwMAIAErAwAgACsDAGRFBEAgBUECag8LIAQgAP0AAwD9CwMAIAAgASgCCDYCCCAAIAEpAwA3AwAgASAEKAIINgIIIAEgBCkDADcDACAFQQNqBSAFCwunAwELfwJAAkAgACgCBCIDIAAoAgBHBEAgAyECDAELIAAoAggiBCAAKAIMIgJJBEAgBCACIARrQQJ1QQFqQQJtQQJ0IgZqIAQgA2siBWsiAiADIAX8CgAAIAAgAjYCBCAAIAAoAgggBmo2AggMAQtBASACIANrQQF1IAIgA0YbIgVBgICAgARPDQEgBUECdCICEDIiByACaiEMIAcgBUEDaiIIQXxxaiICIQkCQCADIARGDQAgAiAEIANrIgRBfHFqIQkgAiEGIAMhBQJAIARBBGsiBEEcSQ0AIAhBfHEgB2ogA2tBEEkNACADIARBAnZBAWoiCEH8////B3EiCkECdCIGaiEFIAIgBmohBgNAIAIgC0ECdCIEaiADIARq/QACAP0LAgAgC0EEaiILIApHDQALIAggCkYNAQsDQCAGIAUoAgA2AgAgBUEEaiEFIAZBBGoiBiAJRw0ACwsgACAMNgIMIAAgCTYCCCAAIAI2AgQgACAHNgIAIANFDQAgAxAvIAAoAgQhAgsgAkEEayABKAIANgIAIAAgACgCBEEEazYCBA8LEEcAC78VARh/IAAoAgAhEyAAKAIEIgMoAgghAAJAIAEoAhgiCyADKAIETQRAIAtBA3QhBCALQQJ0IQIMAQsgAARAIAAQLwsgAygCDCIABEAgABAvCyALQQJ0IgIQOyEAIAMgCzYCBCADIAA2AgggAyALQQN0IgQQOzYCDAsgAEEAIAL8CwAgAygCDEEAIAT8CwAgAyATNgIAQQAhACMAQfAAayIFJAAgAygCHCENIAMoAhghEiABIgsoAgQiCEEASgRAA0ACQCALKAIMIABBAnRqKAIAIgQoAsgBIgFFDQAgBSADKQIENwNoIAVB6ABqIAEQYiEBIAMoAgwgAUEDdGoiASABKAIEQQFqNgIEIAQoAggNACAEKALQAUUNACADIARBARB4CwJAIAQoAowBIgJFDQAgBSADKQIENwNgIAVB4ABqIAIQYiEBIAMoAgwgAUEDdGoiASABKAIAQQFqNgIAAkAgAigCyAFFDQAgAigCCA0AIAIoAtABRQ0AIAMgAkEBEHgLIAQoApABIgJFDQAgBSADKQIENwNYIAVB2ABqIAIQYiEBIAMoAgwgAUEDdGoiASABKAIAQQFqNgIAAkAgAigCyAFFDQAgAigCCA0AIAIoAtABRQ0AIAMgAkEBEHgLIAQoApQBIgJFDQAgBSADKQIENwNQIAVB0ABqIAIQYiEBIAMoAgwgAUEDdGoiASABKAIAQQFqNgIAAkAgAigCyAFFDQAgAigCCA0AIAIoAtABRQ0AIAMgAkEBEHgLIAQoApgBIgJFDQAgBSADKQIENwNIIAVByABqIAIQYiEBIAMoAgwgAUEDdGoiASABKAIAQQFqNgIAAkAgAigCyAFFDQAgAigCCA0AIAIoAtABRQ0AIAMgAkEBEHgLIAQoApwBIgJFDQAgBSADKQIENwNAIAVBQGsgAhBiIQEgAygCDCABQQN0aiIBIAEoAgBBAWo2AgACQCACKALIAUUNACACKAIIDQAgAigC0AFFDQAgAyACQQEQeAsgBCgCoAEiAkUNACAFIAMpAgQ3AzggBUE4aiACEGIhASADKAIMIAFBA3RqIgEgASgCAEEBajYCAAJAIAIoAsgBRQ0AIAIoAggNACACKALQAUUNACADIAJBARB4CyAEKAKkASICRQ0AIAUgAykCBDcDMCAFQTBqIAIQYiEBIAMoAgwgAUEDdGoiASABKAIAQQFqNgIAAkAgAigCyAFFDQAgAigCCA0AIAIoAtABRQ0AIAMgAkEBEHgLIAQoAqgBIgJFDQAgBSADKQIENwMoIAVBKGogAhBiIQEgAygCDCABQQN0aiIBIAEoAgBBAWo2AgACQCACKALIAUUNACACKAIIDQAgAigC0AFFDQAgAyACQQEQeAsgBCgCrAEiAkUNACAFIAMpAgQ3AyAgBUEgaiACEGIhASADKAIMIAFBA3RqIgEgASgCAEEBajYCAAJAIAIoAsgBRQ0AIAIoAggNACACKALQAUUNACADIAJBARB4CyAEKAKwASICRQ0AIAUgAykCBDcDGCAFQRhqIAIQYiEBIAMoAgwgAUEDdGoiASABKAIAQQFqNgIAIAIoAsgBRQ0AIAIoAggNACACKALQAUUNACADIAJBARB4CyAAQQFqIgAgCygCBCIISA0ACwsgDSAIIA0bIhVBAEoEQEEAIQgDQCAIIQAgFQJ/AkAgDQRAIBIgAEECdGooAgAiAEF/Rg0BCwJAIAsoAgwgAEECdGooAgAiASgCjAEiAEUNACADIAAQhgEgASgCkAEiAEUNACADIAAQhgEgASgClAEiAEUNACADIAAQhgEgASgCmAEiAEUNACADIAAQhgEgASgCnAEiAEUNACADIAAQhgEgASgCoAEiAEUNACADIAAQhgEgASgCpAEiAEUNACADIAAQhgEgASgCqAEiAEUNACADIAAQhgEgASgCrAEiAEUNACADIAAQhgEgASgCsAEiAEUNACADIAAQhgELIAMgARCGASANRQ0AIBIgCEECdGooAgBBf0YNACAIQQFqDAELIBEgCCANGyIAIAggCEEBaiIUIA0bIhZIBEADQCAAIQIgCygCDCANBH8gEiAAQQJ0aigCAAUgAgtBAnRqKAIAIRdBACEIA0AgFyAIQQJ0aigCjAEiAARAIAUgAykCBDcDECAFQRBqIAAQYiEBIAMoAgwgAUEDdGoiBCAEKAIAQQFrIgE2AgACQCABDQAgBCgCBA0AIAAoAsgBIgEEQCAFIAMpAgQ3AwggBUEIaiABEGIhACADKAIMIABBA3RqIgQgBCgCBEEBayIANgIEIAANASABIQAgBCgCAA0BCyMAQSBrIg8kACADKAIAIgZFBEAgAygCFCEYIA8gAykCBDcDGCAYIA9BGGogABBiQQJ0aigCACEGCwJAAkACQCAGKAIAIgEgACgCCEcNACAAKALQASEQIAEgABDnBCIAIAYoAgwiASAAIAFwayABcGohDgJAIAYoAhAiAUEATARAQQAhAAwBCyAOIBBqIQRBACEAA0AgECAGIABBA3RqIgooAhQiDCAKKAIYIgdqRgRAIAogByAOaiIJNgIYIAAgAUEBayIOTg0DIAYgAEEBaiIEQQN0aiIHKAIUIAkgDGpHDQMgCiAHKAIYIAlqNgIYIAYgDjYCECAEIA5ODQMCQCABIABrQQJrIgxBAkkEQCAEIQAMAQsgBCAMQX5xIglqIQBBACEBA0AgBiABIARqQQN0aiIHIAf9AAIc/QsCFCABQQJqIgEgCUcNAAsgCSAMRg0ECyAGQRRqIQEDQCABIABBA3RqIAEgAEEBaiIAQQN0aikCADcCACAAIA5HDQALDAMLIAQgDEYEQCAKIBA2AhQgCiAHIA5qIgc2AhggAEUNAyAQIABBA3QgBmoiCSgCDCAJKAIQIgRqRw0DIAkgBCAHajYCECAGIAFBAWsiDDYCECAAIAxODQMCQCAMIABrIglBAkkEQCAAIQEMAQsgACAJQX5xIgdqIQFBACEKA0AgBiAAIApqQQN0aiIEIAT9AAIc/QsCFCAKQQJqIgogB0cNAAsgByAJRg0ECyAGQRRqIQADQCAAIAFBA3RqIAAgAUEBaiIBQQN0aikCADcCACABIAxHDQALDAMLIABBAWoiACABRw0ACyABQYACTg0CQQAhAAJAA0AgBiAAQQN0aigCFCAQTw0BIABBAWoiACABRw0ACyABIQAMAQsgACABTg0AIAEgAEF/c2ohGSABIABrQQNxIgQEQEEAIQogBkEUaiEJA0AgCSABQQN0aiAJIAFBAWsiAUEDdGopAgA3AgAgCkEBaiIKIARHDQALCyAZQQJLBEAgBkEUaiEHA0AgByABQQN0aiIEIARBCGspAgA3AgAgBEEQayAEQRhrIgT9AAIA/QsCACAEIAcgAUEEayIBQQN0aikCADcCACAAIAFIDQALCyAGKAIQIQELIAYgAEEDdGoiACAONgIYIAAgEDYCFCAGIAFBAWo2AhALIA9BIGokAAwBC0G8wwIoAgAQMBogD0GG3QA2AgggD0HPATYCBCAPQdonNgIAQbjDAigCAEHL5AAgDxAxEAAACwsgCEEBaiIIQQpHDQELCyACQQFqIgAgFkcNAAsLIBQgESANGyERIBQLIghHDQALCyAFQfAAaiQAIANBADYCACATKAKUEBoLggUCA38BfiMAQeAAayICJAAgASEDAkACQAJAAkACQAJAAkACQAJAIAAoAkAOSQcICAgIBwgIBwcHBwcHBwcHCAgICAgICAgIBwcIBwcHBwcHBwcICAEICAgHBwgICAcHCAgIBwgICAcHBwgABwcHBwcCAwQICAUGC0EBIQMjAEEQayIEJAAgACgCQEE9RwRAQbzDAigCABAwGiAEQb8qNgIIIARB6hc2AgQgBEHkJjYCAEG4wwIoAgBBy+QAIAQQMRAAAAsgACgCRCEAIARBEGokACAAQQdJDQcgASEDIABBB2tBAk0NB0G8wwIoAgAQMBogAkGbITYCSCACQcT8ADYCRCACQeQmNgJAQbjDAigCAEHL5AAgAkFAaxAxEAAAC0EEIAEgAUEEThsiASAAKAKMASIAKQMgIAApAxh+IAApAyh+IgWnIAUgAaxVGyEDDAYLIAEgACgCSCIAIAEgACABSBsgAEF/RhshAwwFCyABIAAoAkgiACABIAAgAUgbIABBf0YbIQMMBAsgASAAKAJIIgAgASAAIAFIGyAAQX9GGyEDDAMLQbzDAigCABAwGiACQZshNgJYIAJB9/0ANgJUIAJB5CY2AlBBuMMCKAIAQcvkACACQdAAahAxEAAACyACQcwQNgIwQbjDAigCACIBQYLiACACQTBqEDECQCAAKAJAIgBBxwBNBEAgAiAAQQJ0QcCgAWooAgA2AhAgAUHw5AAgAkEQahAxDAELIAIgADYCICABQaDuACACQSBqEDELQbzDAigCABAwGiACQZshNgIIIAJBgf4ANgIEIAJB5CY2AgAgAUHL5AAgAhAxEAAAC0EBIQMLIAJB4ABqJAAgAwtJAQJ/IAAoAgQiBUEIdSEGIAAoAgAiACABIAVBAXEEfyAGIAIoAgBqKAIABSAGCyACaiADQQIgBUECcRsgBCAAKAIAKAIYEQsACxkBAX8gACgCACIBBEAgARCKBQsgARAvIAALewEBfyMAQRBrIgMkAAJAIAJBCk0EQCAAIAAtAAtBgAFxIAJyOgALIAAgAC0AC0H/AHE6AAsgACABIAIQdyADQQA6AA8gACACaiADLQAPOgAADAELIABBCiACQQprIAAtAAtB/wBxIgBBACAAIAIgARDMAQsgA0EQaiQAC3gBAn8jAEEQayIEJAACQCACIAAoAghB/////wdxIgNJBEAgACgCACEDIAAgAjYCBCADIAEgAhB3IARBADoADyACIANqIAQtAA86AAAMAQsgACADQQFrIAIgA2tBAWogACgCBCIAQQAgACACIAEQzAELIARBEGokAAsJACAAIAEQmwMLUQEBfyMAQSBrIggkACAIIAM3AwggCCACNwMAIAggBDcDECAAIAFBAyAIIAcQqwIiACAEpyAGbDYCPCAAIAY2AjggACAFNgI0IAhBIGokACAAC4sDAgd/A34jAEHQAGsiBSQAAkACQCABKAIwIgYgASgCACIIQSRsIgdBmJsBaigCAEcNACABNQI0IgwgASkDECIOIAatfiAHQZSbAWo0AgB/Ug0AIAE1AjgiDSAMIAEpAxgiDH5SDQAgATUCPCANIAEpAyAiDX5SDQAgASkDKCAMIA5+IA1+fiACIAN+IAR+Ug0BIAEoAogBIQsgBSAENwNAIAUgAzcDOCAFIAI3AzBBACEHIAAgCEEDIAVBMGogAUEAEEkhCiAFIAFB1AFqNgIAIApBktUAIAUQcyIGQR42AkAgCwRAIAAgBigCACAGKAIMIAZBEGpBAEEAEEkhBwsgBiABNgKMASAGIAc2AogBIAVB0ABqJAAgBg8LQbzDAigCABAwGiAFQcXXADYCKCAFQZcjNgIkIAVB5CY2AiBBuMMCKAIAQcvkACAFQSBqEDEQAAALQbzDAigCABAwGiAFQYs7NgIYIAVBmCM2AhQgBUHkJjYCEEG4wwIoAgBBy+QAIAVBEGoQMRAAAAsEAEEEC/8CAgd/A34jAEFAaiIEJAACQAJAIAEoAjAiBSABKAIAIgdBJGwiBkGYmwFqKAIARw0AIAE1AjQiCyABKQMQIg0gBa1+IAZBlJsBajQCAH9SDQAgATUCOCIMIAsgASkDGCILflINACABNQI8IAwgASkDICIMflINACABKQMoIAsgDX4gDH5+IAIgA35SDQEgASgCiAEhCiAEIAM3AzggBCACNwMwQQAhBiAAIAdBAiAEQTBqIAFBABBJIQkgBCABQdQBajYCACAJQZLVACAEEHMiBUEeNgJAIAoEQCAAIAUoAgAgBSgCDCAFQRBqQQBBABBJIQYLIAUgATYCjAEgBSAGNgKIASAEQUBrJAAgBQ8LQbzDAigCABAwGiAEQcXXADYCKCAEQf0iNgIkIARB5CY2AiBBuMMCKAIAQcvkACAEQSBqEDEQAAALQbzDAigCABAwGiAEQaU9NgIYIARB/iI2AhQgBEHkJjYCEEG4wwIoAgBBy+QAIARBEGoQMRAAAAukAQEBfwJAQYyKNf4SAABBAXENAEGMijUQVEUNAAJAQYCKNf4SAABBAXENAEGAijUQVEUNABDUBUH4iTVB6JY1NgIAQfyJNUH4iTU2AgBBgIo1EFMLQYSKNUH8iTUoAgAoAgAiATYCACABQQRqQQH+HgIAGkGIijVBhIo1NgIAQYyKNRBTCyAAQYiKNSgCACgCACIBNgIAIAFBBGpBAf4eAgAaIAALXwEEfyABKAKIASEFIAAgASgCACABKAIMIAFBEGpBAEEAEEkiAkK9gICA8AA3A0AgBQRAIAAgAigCACACKAIMIAJBEGpBAEEAEEkhAwsgAiABNgKMASACIAM2AogBIAILRwEBfyMAQRBrIgIkAAJAIAEtAAtBB3ZFBEAgACABKAIINgIIIAAgASkCADcCAAwBCyAAIAEoAgAgASgCBBBrCyACQRBqJAALCABB/////wcLBQBB/wALdgEBfyMAQRBrIgIkACACIAA2AgwCQCAAIAFGDQADQCACIAFBBGsiATYCCCAAIAFPDQEgAigCDCIAKAIAIQEgACACKAIIIgAoAgA2AgAgACABNgIAIAIgAigCDEEEaiIANgIMIAIoAgghAQwACwALIAJBEGokAAv2BAEIfyMAQRBrIgskACAGEGwhCSALQQRqIgcgBhC/ASIIIAgoAgAoAhQRAgACQAJ/IActAAtBB3YEQCAHKAIEDAELIActAAtB/wBxC0UEQCAJIAAgAiADIAkoAgAoAjARCAAaIAUgAyACIABrQQJ0aiIGNgIADAELIAUgAzYCAAJAAkAgACIKLQAAIgZBK2sOAwABAAELIAkgBsAgCSgCACgCLBEEACEHIAUgBSgCACIGQQRqNgIAIAYgBzYCACAAQQFqIQoLAkAgAiAKa0ECSA0AIAotAABBMEcNACAKLQABQSByQfgARw0AIAlBMCAJKAIAKAIsEQQAIQcgBSAFKAIAIgZBBGo2AgAgBiAHNgIAIAkgCiwAASAJKAIAKAIsEQQAIQcgBSAFKAIAIgZBBGo2AgAgBiAHNgIAIApBAmohCgsgCiACEKwBIAggCCgCACgCEBEAACEOQQAhByAKIQYDfyACIAZNBH8gAyAKIABrQQJ0aiAFKAIAEOoBIAUoAgAFAkACfyALQQRqIggtAAtBB3YEQCAIKAIADAELIAgLIAdqLQAARQ0AIAwCfyAILQALQQd2BEAgCCgCAAwBCyAICyAHaiwAAEcNACAFIAUoAgAiDUEEajYCACANIA42AgAgByAHAn8gCC0AC0EHdgRAIAgoAgQMAQsgCC0AC0H/AHELQQFrSWohB0EAIQwLIAkgBiwAACAJKAIAKAIsEQQAIQ0gBSAFKAIAIghBBGo2AgAgCCANNgIAIAZBAWohBiAMQQFqIQwMAQsLIQYLIAQgBiADIAEgAGtBAnRqIAEgAkYbNgIAIAtBBGoQMxogC0EQaiQAC9ABAQJ/IAJBgBBxBEAgAEErOgAAIABBAWohAAsgAkGACHEEQCAAQSM6AAAgAEEBaiEACyACQYQCcSIDQYQCRwRAIABBrtQAOwAAIABBAmohAAsgAkGAgAFxIQIDQCABLQAAIgQEQCAAIAQ6AAAgAEEBaiEAIAFBAWohAQwBCwsgAAJ/AkAgA0GAAkcEQCADQQRHDQFBxgBB5gAgAhsMAgtBxQBB5QAgAhsMAQtBwQBB4QAgAhsgA0GEAkYNABpBxwBB5wAgAhsLOgAAIANBhAJHC+0EAQh/IwBBEGsiCyQAIAYQciEJIAtBBGoiByAGEMEBIgggCCgCACgCFBECAAJAAn8gBy0AC0EHdgRAIAcoAgQMAQsgBy0AC0H/AHELRQRAIAkgACACIAMgCSgCACgCIBEIABogBSADIAIgAGtqIgY2AgAMAQsgBSADNgIAAkACQCAAIgotAAAiBkEraw4DAAEAAQsgCSAGwCAJKAIAKAIcEQQAIQcgBSAFKAIAIgZBAWo2AgAgBiAHOgAAIABBAWohCgsCQCACIAprQQJIDQAgCi0AAEEwRw0AIAotAAFBIHJB+ABHDQAgCUEwIAkoAgAoAhwRBAAhByAFIAUoAgAiBkEBajYCACAGIAc6AAAgCSAKLAABIAkoAgAoAhwRBAAhByAFIAUoAgAiBkEBajYCACAGIAc6AAAgCkECaiEKCyAKIAIQrAEgCCAIKAIAKAIQEQAAIQ5BACEHIAohBgN/IAIgBk0EfyADIAogAGtqIAUoAgAQrAEgBSgCAAUCQAJ/IAtBBGoiCC0AC0EHdgRAIAgoAgAMAQsgCAsgB2otAABFDQAgDAJ/IAgtAAtBB3YEQCAIKAIADAELIAgLIAdqLAAARw0AIAUgBSgCACINQQFqNgIAIA0gDjoAACAHIAcCfyAILQALQQd2BEAgCCgCBAwBCyAILQALQf8AcQtBAWtJaiEHQQAhDAsgCSAGLAAAIAkoAgAoAhwRBAAhDSAFIAUoAgAiCEEBajYCACAIIA06AAAgBkEBaiEGIAxBAWohDAwBCwshBgsgBCAGIAMgASAAa2ogASACRhs2AgAgC0EEahAzGiALQRBqJAAL7QUBC38jAEGAAWsiCSQAIAkgATYCfCAJQfYBNgIQIAlBCGpBACAJQRBqIggQUSELAkACQCADIAJrQQxtIgpB5QBPBEAgChA7IghFDQEgCygCACEBIAsgCDYCACABBEAgASALKAIEEQEACwsgCCEHIAIhAQNAIAEgA0YEQANAIAAgCUH8AGoQQkEBIAobBEAgACAJQfwAahBCBEAgBSAFKAIAQQJyNgIACwwFCwJ/IAAoAgAiBygCDCIBIAcoAhBGBEAgByAHKAIAKAIkEQAADAELIAEoAgALIQ4gBkUEQCAEIA4gBCgCACgCHBEEACEOCyAPQQFqIQ1BACEQIAghByACIQEDQCABIANGBEAgDSEPIBBFDQIgABBcGiAIIQcgAiEBIAogDGpBAkkNAgNAIAEgA0YEQAwEBQJAIActAABBAkcNAAJ/IAEtAAtBB3YEQCABKAIEDAELIAEtAAtB/wBxCyAPRg0AIAdBADoAACAMQQFrIQwLIAdBAWohByABQQxqIQEMAQsACwAFAkAgBy0AAEEBRw0AAn8gAS0AC0EHdgRAIAEoAgAMAQsgAQsgD0ECdGooAgAhEQJAIAYEfyARBSAEIBEgBCgCACgCHBEEAAsgDkYEQEEBIRACfyABLQALQQd2BEAgASgCBAwBCyABLQALQf8AcQsgDUcNAiAHQQI6AAAgDEEBaiEMDAELIAdBADoAAAsgCkEBayEKCyAHQQFqIQcgAUEMaiEBDAELAAsACwAFIAdBAkEBAn8gAS0AC0EHdgRAIAEoAgQMAQsgAS0AC0H/AHELRSINGzoAACAHQQFqIQcgAUEMaiEBIAwgDWohDCAKIA1rIQoMAQsACwALEEYACwJAAkADQCACIANGDQEgCC0AAEECRwRAIAhBAWohCCACQQxqIQIMAQsLIAIhAwwBCyAFIAUoAgBBBHI2AgALIAsoAgAhACALQQA2AgAgAARAIAAgCygCBBEBAAsgCUGAAWokACADC/QFAQt/IwBBgAFrIgkkACAJIAE2AnwgCUH2ATYCECAJQQhqQQAgCUEQaiIIEFEhCwJAAkAgAyACa0EMbSIKQeUATwRAIAoQOyIIRQ0BIAsoAgAhASALIAg2AgAgAQRAIAEgCygCBBEBAAsLIAghByACIQEDQCABIANGBEADQCAAIAlB/ABqEENBASAKGwRAIAAgCUH8AGoQQwRAIAUgBSgCAEECcjYCAAsMBQsCfyAAKAIAIgcoAgwiASAHKAIQRgRAIAcgBygCACgCJBEAAAwBCyABLQAAC8AhDiAGRQRAIAQgDiAEKAIAKAIMEQQAIQ4LIA9BAWohDUEAIRAgCCEHIAIhAQNAIAEgA0YEQCANIQ8gEEUNAiAAEF0aIAghByACIQEgCiAMakECSQ0CA0AgASADRgRADAQFAkAgBy0AAEECRw0AAn8gAS0AC0EHdgRAIAEoAgQMAQsgAS0AC0H/AHELIA9GDQAgB0EAOgAAIAxBAWshDAsgB0EBaiEHIAFBDGohAQwBCwALAAUCQCAHLQAAQQFHDQACfyABLQALQQd2BEAgASgCAAwBCyABCyAPai0AACERAkAgDkH/AXEgBgR/IBEFIAQgEcAgBCgCACgCDBEEAAtB/wFxRgRAQQEhEAJ/IAEtAAtBB3YEQCABKAIEDAELIAEtAAtB/wBxCyANRw0CIAdBAjoAACAMQQFqIQwMAQsgB0EAOgAACyAKQQFrIQoLIAdBAWohByABQQxqIQEMAQsACwALAAUgB0ECQQECfyABLQALQQd2BEAgASgCBAwBCyABLQALQf8AcQtFIg0bOgAAIAdBAWohByABQQxqIQEgDCANaiEMIAogDWshCgwBCwALAAsQRgALAkACQANAIAIgA0YNASAILQAAQQJHBEAgCEEBaiEIIAJBDGohAgwBCwsgAiEDDAELIAUgBSgCAEEEcjYCAAsgCygCACEAIAtBADYCACAABEAgACALKAIEEQEACyAJQYABaiQAIAMLvgIBBH8gA0GIiDUgAxsiBSgCACEDAkACfwJAIAFFBEAgAw0BQQAPC0F+IAJFDQEaAkAgAwRAIAIhBAwBCyABLQAAIgPAIgRBAE4EQCAABEAgACADNgIACyAEQQBHDwsjAygCYCgCAEUEQEEBIABFDQMaIAAgBEH/vwNxNgIAQQEPCyADQcIBayIDQTJLDQEgA0ECdEGwzwJqKAIAIQMgAkEBayIERQ0DIAFBAWohAQsgAS0AACIGQQN2IgdBEGsgA0EadSAHanJBB0sNAANAIARBAWshBCAGQYABayADQQZ0ciIDQQBOBEAgBUEANgIAIAAEQCAAIAM2AgALIAIgBGsPCyAERQ0DIAFBAWoiAS0AACIGQcABcUGAAUYNAAsLIAVBADYCACMDQRxqQRk2AgBBfwsPCyAFIAM2AgBBfgsJACABQQEQ9AMLcQEBfyAAQdTIAjYCACAAEPcDGgJAIAAtAGBFDQAgACgCICIBRQ0AIAEQLwsCQCAALQBhRQ0AIAAoAjgiAUUNACABEC8LIABB5McCNgIAIAAoAgQiAUEEakF//h4CAEUEQCABIAEoAgAoAggRAQALIAALDwAgACAAKAIQIAFyELsCC7YLAQZ/IAAgAWohBQJAAkAgACgCBCICQQFxDQAgAkEDcUUNASAAKAIAIgIgAWohAQJAAkACQCAAIAJrIgBBlIQ1KAIARwRAIAJB/wFNBEAgAkEDdiEEIAAoAggiAyAAKAIMIgJHDQJBgIQ1QYCENSgCAEF+IAR3cTYCAAwFCyAAKAIYIQYgACAAKAIMIgJHBEBBkIQ1KAIAGiAAKAIIIgMgAjYCDCACIAM2AggMBAsgAEEUaiIEKAIAIgNFBEAgACgCECIDRQ0DIABBEGohBAsDQCAEIQcgAyICQRRqIgQoAgAiAw0AIAJBEGohBCACKAIQIgMNAAsgB0EANgIADAMLIAUoAgQiAkEDcUEDRw0DQYiENSABNgIAIAUgAkF+cTYCBCAAIAFBAXI2AgQgBSABNgIADwsgAyACNgIMIAIgAzYCCAwCC0EAIQILIAZFDQACQCAAKAIcIgNBAnRBsIY1aiIEKAIAIABGBEAgBCACNgIAIAINAUGEhDVBhIQ1KAIAQX4gA3dxNgIADAILIAZBEEEUIAYoAhAgAEYbaiACNgIAIAJFDQELIAIgBjYCGCAAKAIQIgMEQCACIAM2AhAgAyACNgIYCyAAKAIUIgNFDQAgAiADNgIUIAMgAjYCGAsCQAJAAkACQCAFKAIEIgJBAnFFBEBBmIQ1KAIAIAVGBEBBmIQ1IAA2AgBBjIQ1QYyENSgCACABaiIBNgIAIAAgAUEBcjYCBCAAQZSENSgCAEcNBkGIhDVBADYCAEGUhDVBADYCAA8LQZSENSgCACAFRgRAQZSENSAANgIAQYiENUGIhDUoAgAgAWoiATYCACAAIAFBAXI2AgQgACABaiABNgIADwsgAkF4cSABaiEBIAJB/wFNBEAgAkEDdiEEIAUoAgwiAiAFKAIIIgNGBEBBgIQ1QYCENSgCAEF+IAR3cTYCAAwFCyADIAI2AgwgAiADNgIIDAQLIAUoAhghBiAFIAUoAgwiAkcEQEGQhDUoAgAaIAUoAggiAyACNgIMIAIgAzYCCAwDCyAFQRRqIgQoAgAiA0UEQCAFKAIQIgNFDQIgBUEQaiEECwNAIAQhByADIgJBFGoiBCgCACIDDQAgAkEQaiEEIAIoAhAiAw0ACyAHQQA2AgAMAgsgBSACQX5xNgIEIAAgAUEBcjYCBCAAIAFqIAE2AgAMAwtBACECCyAGRQ0AAkAgBSgCHCIDQQJ0QbCGNWoiBCgCACAFRgRAIAQgAjYCACACDQFBhIQ1QYSENSgCAEF+IAN3cTYCAAwCCyAGQRBBFCAGKAIQIAVGG2ogAjYCACACRQ0BCyACIAY2AhggBSgCECIDBEAgAiADNgIQIAMgAjYCGAsgBSgCFCIDRQ0AIAIgAzYCFCADIAI2AhgLIAAgAUEBcjYCBCAAIAFqIAE2AgAgAEGUhDUoAgBHDQBBiIQ1IAE2AgAPCyABQf8BTQRAIAFBeHFBqIQ1aiECAn9BgIQ1KAIAIgNBASABQQN2dCIBcUUEQEGAhDUgASADcjYCACACDAELIAIoAggLIQEgAiAANgIIIAEgADYCDCAAIAI2AgwgACABNgIIDwtBHyEDIAFB////B00EQCABQSYgAUEIdmciAmt2QQFxIAJBAXRrQT5qIQMLIAAgAzYCHCAAQgA3AhAgA0ECdEGwhjVqIQICQAJAQYSENSgCACIEQQEgA3QiB3FFBEBBhIQ1IAQgB3I2AgAgAiAANgIAIAAgAjYCGAwBCyABQRkgA0EBdmtBACADQR9HG3QhAyACKAIAIQIDQCACIgQoAgRBeHEgAUYNAiADQR12IQIgA0EBdCEDIAQgAkEEcWoiB0EQaigCACICDQALIAcgADYCECAAIAQ2AhgLIAAgADYCDCAAIAA2AggPCyAEKAIIIgEgADYCDCAEIAA2AgggAEEANgIYIAAgBDYCDCAAIAE2AggLC5ADAQZ/IAAtAABBD3FFBEAgAEEEakEAQQr+SAIAQQpxDwsCfyAAKAIAIQICQAJAAkAjAyIBKAIYIgQgACgCBCIDQf////8DcSIGRw0AAkAgAkEIcUUNACAAKAIUQQBODQAgAEEANgIUIANBgICAgARxIQMMAgsgAkEDcUEBRw0AQQYhBSAAKAIUIgFB/v///wdLDQIgACABQQFqNgIUQQAMAwtBOCEFIAZB/////wNGDQECQCAGDQBBACADIAJBBHEbDQAgAyAAQQRqIAMgAkGAAXEEfyABKAJQRQRAIAFBdDYCUAsgACgCCCEGIAEgAEEQajYCVCAEQYCAgIB4ciAEIAYbBSAECyADQYCAgIAEcXL+SAIARg0BIAFBADYCVCACQQxxQQxHDQAgACgCCA0CC0EKDAILIAEoAkwhAiAAIAFBzABqIgU2AgwgACACNgIQIABBEGohBCACIAVHBEAgAkEEayAENgIACyABIAQ2AkxBACEFIAFBADYCVCADRQ0AIABBADYCFEE+DAELIAULC5sFAQV/IwBBMGsiBSQAAkAgAEUEQEEcIQQMAQtBmPM0KAIARQRAQZjzNEErNgIAC0GZ8TQtAABFBEAQ/AEoAgAiAwRAA0ACQCADRQ0AIAMoAkxBAE4NACADQQA2AkwLIAMoAjgiAw0ACwtB1PI0ENMBAkBBlPE0KAIAIgNFDQAgAygCTEEATg0AIANBADYCTAsCQEHAuwMoAgAiA0UNACADKAJMQQBODQAgA0EANgJMCwJAQai6AygCACIDRQ0AIAMoAkxBAE4NACADQQA2AkwLQZnxNEEBOgAACyAFQQhqQQBBKPwLACAFQYy5AygCACIDNgIEQZC5AygCAEGaAWoiBEEAIANBD2ogBSgCDBtqIgYQOyIDQQAgBBCgASADIAY2AjAgAyADNgIsIAMgAzYCAEGY8zRBmPM0KAIAIgRBAWo2AgAgAyADQcwAajYCTCADIAQ2AhggA0G48TQ2AmAgA0EDQQIgBSgCEBs2AiAgAyAFKAIEIgY2AjggAyADQYcBakF8cSIENgJ0IARBEGohBEGQuQMoAgAEQCADIARBA2pBfHEiBDYCSEGQuQMoAgAgBGohBAsgAyAFKAIMIgcgBCAGakEPakFwcSAHGzYCNCADEIwEIwMhBBDKAiAEKAIMIQYgAyAENgIIIAMgBjYCDCAGIAM2AgggAygCCCADNgIMEMkCQZzxNEGc8TQoAgAiBEEBajYCACAERQRAQZvxNEEBOgAACyADIAVBBGogASACEB8iBARAQZzxNEGc8TQoAgBBAWsiADYCACAARQRAQZvxNEEAOgAACxDKAiADKAIMIgAgAygCCDYCCCADKAIIIAA2AgwgAyADNgIMIAMgAzYCCBDJAgwBCyAAIAM2AgALIAVBMGokACAECxUAIABBAP5BAgBBAkYEQCAAEI4BCwsyACAAQQBBAf5IAgAEQCAAQQFBAv5IAgAaA0AgAEEAQQIQoQEgAEEAQQL+SAIADQALCwvnAQICfwN8IwBBEGsiAiQAAkACfwJAAkAjBSIDDQAjAyIELQAoQQFHDQAgBC0AKUUNAQtBAUHkACADG7chBRADRAAAAAAAAPB/oCEHIwMhAwNAAkAgAygCJEUEQCAHEAOhIgZEAAAAAAAAAABlRQ0BQckADAQLQQshAAwECyAAIAEgBSAGIAUgBmMbENUBIgRBt39GDQALQQAgBGsMAQtBACAAIAFEAAAAAAAA8H8Q1QFrCyIAQQAgAEFvcUELRhsgACAAQckARxsiAEEbRw0AQRtBAEGI8zQoAgAbIQALIAJBEGokACAACw0AIABB/////wcQtQELrgQBBX8jAEEQayIEJAAgABBWGgJ/AkAgACABEJwEIgNFBEAgACgCHCIDIAAoAiBGBEAgACgCGCADQQF0QQEgAxsiA0ECdBDEASIFRQ0CIAAgAzYCICAAIAU2AhgLIAEQoQQiA0UNASAAIAAoAhwiAUEBajYCHCAAKAIYIAFBAnRqIAM2AgALIAMMAQtBAAshASAAEFIaIAEEfyAEIAIoAgg2AgggBCACKQIANwMAIwBBMGsiAiQAAkACfyABIgAoAhwiA/4QAnwhAQNAQQAgAUUNARogASADIAEgAUEBav5IAnwiAUcNAAtBAQtFBEBBACEDDAELIABBBGoiARBWGiACIAQoAgg2AiAgAiAEKQIANwMYIAAgAkEYahCdBCEDIAEQUhoCfyADBH8gAEEC/kECACEFQQEhAyAAKAIcIgEgBUECRg0BGiACIAA2AiwgAiAANgIQIAJBvgE2AiggAkG/ATYCJCACIAIpAiQ3AwgjAEEQayIDJAAgASgCeEEEahBWGiABKAJ4IQYgAyACKAIQNgIIIAMgAikCCDcDACAGIAMQnQQaIAEoAnhBBGoQUhoCQCABKAJ4QQL+QQIAQQJGDQAgAf4QAoABBEAgAUF//gACABoMAQsgASMDQdDxNBAeCyADQRBqJABBAQVBAAshAyAAKAIcCyIAQQH+JQJ8QQFGBEAgAEH8AGpB/////wcQtQELCyACQTBqJAAgAwVBAAshByAEQRBqJAAgBwsNAEHU8jQQpQRB2PI0C+4BAwJ8An8BfgJ9AkAgALwiA0EUdkH/D3EiBEGwCEkNAEMAAAAAIANBgICAfEYNARogBEH4D08EQCAAIACSDwsgAEMAAAAAXgRAIwBBEGsiA0MAAABwOAIMIAMqAgxDAAAAcJQPCyAAQwAAFsNfRQ0AIwBBEGsiA0MAAAAQOAIMIAMqAgxDAAAAEJQPC0HY2gErAwAgALsiASABQdDaASsDACIBoCICIAGhoSIBokHg2gErAwCgIAEgAaKiQejaASsDACABokQAAAAAAADwP6CgIAK9IgVCL4YgBadBH3FBA3RB0NgBaikDAHy/orYLCxQAQQwQXkEFEHBB0KkDQdIAEAIACxQAQQwQXkEEEHBB0KkDQdIAEAIACxQAQQwQXkEDEHBB0KkDQdIAEAIAC6UEAQR/AkACQAJAIAAoAgQgACgCACICa0E0bSIFQQFqIgNBxZ2xJ0kEQEHEnbEnIAAoAgggAmtBNG0iAkEBdCIEIAMgAyAESRsgAkHiztgTTxsiAwR/IANBxZ2xJ08NAiADQTRsEDIFQQALIgQgBUE0bGoiAiAB/QACAP0LAgAgAiAB/QACEP0LAhAgAiABKAIgNgIgIAIgASgCJDYCJCABQgA3AiAgAf0MAAAAAAAAAAAAAAAAAAAAAP0LAhAgAiABLQAwOgAwIAIgASkCKDcCKCAEIANBNGxqIQMgAkE0aiEFIAAoAgQiASAAKAIAIgRGDQIDQCACQTRrIgIgAUE0ayIB/QACAP0LAgAgAkEANgIYIAIgASgCEDYCECACIAEoAhQ2AhQgAiABKAIYNgIYIAFBADYCGCABQgA3AhAgAkEANgIkIAIgASgCHDYCHCACIAEoAiA2AiAgAiABKAIkNgIkIAFBADYCJCABQgA3AhwgAiABLQAwOgAwIAIgASkCKDcCKCABIARHDQALIAAgAzYCCCAAKAIEIQMgACAFNgIEIAAoAgAhASAAIAI2AgAgASADRg0DA0AgA0E0ayIAKAIcIgIEQCADQRRrIAI2AgAgAhAvCyADQSRrKAIAIgIEQCADQSBrIAI2AgAgAhAvCyAAIgMgAUcNAAsMAwsQNgALEEcACyAAIAM2AgggACAFNgIEIAAgAjYCAAsgAQRAIAEQLwsLqQUBCH8gASAAKAIIIgMgACgCACIEa0EMbU0EQAJAIAAoAgQiBSAEa0EMbSIIIAEgASAISxsiB0UNACAEIQMgByEGIAdBA3EiCQRAA0AgAyACKAIANgIAIAMgAigCBDYCBCADIAItAAg6AAggBkEBayEGIANBDGohAyAKQQFqIgogCUcNAAsLIAdBBEkNAANAIAMgAigCADYCACADIAIoAgQ2AgQgAyACLQAIOgAIIAMgAigCADYCDCADIAIoAgQ2AhAgAyACLQAIOgAUIAMgAigCADYCGCADIAIoAgQ2AhwgAyACLQAIOgAgIAMgAigCADYCJCADIAIoAgQ2AiggAyACLQAIOgAsIANBMGohAyAGQQRrIgYNAAsLIAEgCEsEQCAFIAEgCGtBDGxqIQEDQCAFIAIpAgA3AgAgBSACKAIINgIIIAVBDGoiBSABRw0ACyAAIAE2AgQPCyAAIAQgAUEMbGo2AgQPCyAEBEAgACAENgIEIAQQLyAAQQA2AgggAEIANwIAQQAhAwsCQCABQdaq1aoBTw0AQdWq1aoBIANBDG0iA0EBdCIEIAEgASAESRsgA0Gq1arVAE8bIgNB1qrVqgFPDQAgACADQQxsIgMQMiIENgIEIAAgBDYCACAAIAMgBGo2AgggBCEDIAFBDGwiAUEMayIGQQxuQQFqQQNxIgcEQANAIAMgAikCADcCACADIAIoAgg2AgggA0EMaiEDIAVBAWoiBSAHRw0ACwsgASAEaiEBIAZBJE8EQANAIAMgAikCADcCACADIAIoAgg2AgggAyACKAIINgIUIAMgAikCADcCDCADIAIoAgg2AiAgAyACKQIANwIYIAMgAikCADcCJCADIAIoAgg2AiwgA0EwaiIDIAFHDQALCyAAIAE2AgQPCxA2AAsUAEEMEF5BBhBwQdCpA0HSABACAAsCAAv9BwEHfyAAKAIQIQcgACgCJCEIAkAgAiABIgNGDQACQAJAIAMsAAAiBEEkaw5ZAgEBAQIAAgIBAQIBAQEBAQEBAQEBAQEBAQEBAgEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQICAQIBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAgIBCyAAKAIYDQELIAAgBBBZIANBAWohAwsCQAJAAkACQAJAIAEgA0cNAAJ/AkAgAiABIgNGDQAgA0EBaiIFIAJGDQAgAy0AAEHcAEcNAAJAAkAgBSwAACIEQSRrDloAAQEBAAAAAAEBAAEBAQEBAQEBAQEBAQEBAQEAAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAAABAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEAAAABCyAAIAQQWSADQQJqDAILIAAoAgxB8AdxQcAARgRAIAAgBSACQQAQ1wIMAgsgA0ECQQACf0EAIQUCQAJAIARBeHFBMEcgBEH+AXFBOEdxDQAgBEH/AXEiBEExa0EISw0AIARBMGsiBCAAKAIQSw0BIAAgBBDaAkEBIQULIAUMAQsQ/wEACxtqIQMLIAMLIgMgAUcNAAJAIAEgAkYNACABLQAAQS5HDQBBCBAyIQMgACgCJCIEKAIEIQUgA0GktQE2AgAgAyAFNgIEIAQgAzYCBAwCCyAAIAEgAhDiAiEDCwJAAkAgASADRw0AIAIgA0YNAAJAAkAgASwAACIDQSRrDgUDBgYGAQALIANB3gBHDQVBDBAyIQMgACgCDCEEIAAoAiQiBSgCBCEGIANB9KkBNgIAIAMgBjYCBCADIARB8A9xQYAMRjoACCAFIAM2AgQMAwsCQCAALQAMQQJxBEAgACgCECEEDAELQQwQMiEDIAAgACgCEEEBaiIENgIQIAAoAiQiBSgCBCEGIAMgBDYCCCADQcCxATYCACADIAY2AgQgBSADNgIEIAAgACgCJCgCBDYCJAsgACAAKAIYQQFqNgIYIAAgAUEBaiACEIYCIgUgAkYNBSAFLQAAQSlHDQUgAC0ADEECcUUEQEEMEDIhAyAAKAIkIgYoAgQhCSADIAQ2AgggA0GQsgE2AgAgAyAJNgIEIAYgAzYCBCAAIAAoAiQoAgQ2AiQLIAAgACgCGEEBazYCGCAFQQFqIQMLIAEgA0cNAgwDC0EMEDIhAyAAKAIMIQQgACgCJCIFKAIEIQYgA0G8qgE2AgAgAyAGNgIEIAMgBEHwD3FBgAxGOgAIIAUgAzYCBAsgACAAKAIkKAIENgIkIAFBAWohAwsgACADIAIgCCAHQQFqIAAoAhBBAWoQ4wIhAQsgAQ8LEIMCAAuxAgEEfyAAKAIkIQYCQCAAIAEgAhCFAiIDIAFGDQADQCAAIAMiBCACEIUCIgMgBEcNAAsgASAERg0AIAIgBEcEQANAIAQtAABB/ABHBEAgBA8LIAAoAiQhBSAAIARBAWoiASACEIUCIgMgAUYNAgNAIAAgAyIEIAIQhQIiAyAERw0ACyABIARGDQJBDBAyIQMgBigCBCEBIAMgBSgCBDYCCCADIAE2AgQgA0GctAE2AgAgBiADNgIEIAVBADYCBEEIEDIhAyAAKAIkKAIEIQEgA0HIqAE2AgAgAyABNgIEIAUgAzYCBCAAKAIkQQA2AgRBCBAyIQMgBSgCBCEBIANB3LQBNgIAIAMgATYCBCAAKAIkIAM2AgQgACAFKAIENgIkIAIgBEcNAAsLIAIPCxDGBAALrgIBBH8gACgCACIDBEAgAyECIAMgACgCBCIERwRAA0AgBEEMayICKAIAIgUEQCAEQQhrIAU2AgAgBRAvCyACIgQgA0cNAAsgACgCACECCyAAIAM2AgQgAhAvIABBADYCCCAAQgA3AgALIAAgASgCADYCACAAIAEoAgQ2AgQgACABKAIINgIIIAFBADYCCCABQgA3AgAgACgCDCIDBEAgAyECIAMgACgCECIERwRAA0AgBEEMayICKAIAIgUEQCAEQQhrIAU2AgAgBRAvCyACIgQgA0cNAAsgACgCDCECCyAAIAM2AhAgAhAvIABBADYCFCAAQgA3AgwLIAAgASgCDDYCDCAAIAEoAhA2AhAgACABKAIUNgIUIAFBADYCFCABQgA3AgwgACABKQIYNwIYC/ABAgR/AX4jAEFAaiICJAAgAiABQsD8FX8iBj4CACACIAZCgKOkfn4gAUIKfnwiAULg1AN/IgY+AgQgAiAGQqCrfH4gAXwiAULoB38iBj4CCCACIAZCmPj//w9+IAF8PgIQIAJB0coANgIMIAJBIGoiBEEgQdslIAIQxQIaIAQQaCIDQfD///8HSQRAAkAgA0EKTQRAIAAgAzoACwwBCyADQQ9yQQFqIgUQMiEEIAAgBUGAgICAeHI2AgggACAENgIAIAAgAzYCBCAEIQALIAAgAkEgaiAD/AoAACAAIANqQQA6AAAgAkFAayQADwsQTQAL60EEGX8FfQN8AX4jAEGAAWsiBiQAAkACQCAAKAIAQQH+HgIAIhQgACgCBCgCAEgEQCAGQdwAaiERIAZB0ABqIRIDQAJAIAAoAggoAgAgFEHYFGxqIggtALECDQAgCC0AsAINAAJAAkACQAJAAkACQCAAKAIMIgEoAgAOAgABBgsgACgCFCgCACILKAL8ASECIAsoAsABIQogACgCECoCAEO9N4Y1XUUNAUQAAAAAAAAAACEfQQAhBEEAIQNEAAAAAAAAAAAhICACIApODQMgCiACayIBQQFxIQsgCCgCtAIhByACQQFqIApGBEAgAiEBDAMLIAFBfnEhDCACIQFBACEFA0ACfwJAIAcgAUECdGoqAgAiGkMAAID/Ww0AICAgGrsiIaAhICAfICFjRQ0AIAEMAQsgHyEhIAMLIQkCQCAHIAFBAWoiA0ECdGoqAgAiGkMAAID/XARAICAgGrsiH6AhICAfICFkDQELIAkhAyAhIR8LIAFBAmohASAMIAVBAmoiBUcNAAsMAgsgASgCdCENAkAgACgCFCgCACITKALAASIMIAgoAtwCIgIgCCgC2AIiBGtBBHUiAUsEQEEAIQpBACEHAkAgDCABayIBIAgoAuACIgUgAmtBBHVNBEACQCABRQ0AIAIhAyABQQdxIgQEQEEAIQUDQCADQQA2AgggA0IANwMAIANBEGohAyAFQQFqIgUgBEcNAAsLIAFBBHQgAmohAiABQQFrQf////8AcUEHSQ0AA0AgA0IANwNwIANCADcDYCADQgA3A1AgA0IANwNAIANCADcDMCADQgA3AyAgA0IANwMQIANBADYCCCADQgA3AwAgA0EANgJ4IANBADYCaCADQQA2AlggA0EANgJIIANBADYCOCADQQA2AiggA0EANgIYIANBgAFqIgMgAkcNAAsLIAggAjYC3AIMAQsCQCACIAgoAtgCIgRrQQR1IgsgAWoiA0GAgICAAUkEQEH/////ACAFIARrIgVBA3UiCSADIAMgCUkbIAVB8P///wdPGyIJBEAgCUGAgICAAU8NAiAJQQR0EDIhBwsgByALQQR0aiIFIQMgAUEHcSILBEADQCADQQA2AgggA0IANwMAIANBEGohAyAKQQFqIgogC0cNAAsLIAFBBHQgBWohCiABQQFrQf////8AcUEHTwRAA0AgA0IANwNwIANCADcDYCADQgA3A1AgA0IANwNAIANCADcDMCADQgA3AyAgA0IANwMQIANBADYCCCADQgA3AwAgA0EANgJ4IANBADYCaCADQQA2AlggA0EANgJIIANBADYCOCADQQA2AiggA0EANgIYIANBgAFqIgMgCkcNAAsLIAIgBEcEQANAIAVBEGsiBSACQRBrIgIpAwA3AwAgBSACKAIINgIIIAIgBEcNAAsLIAggByAJQQR0ajYC4AIgCCAKNgLcAiAIKALYAiEBIAggBTYC2AIgAQRAIAEQLwsMAgsMDAsQRwALIAgoAtgCIQQMAQsgASAMTQ0AIAggBCAMQQR0ajYC3AILAkAgDEEATA0AIAgoAsACIQJBACEBIAxBAUcEQCAMQX5xIQVBACELA0AgAiABQQJ0aioCACEaIAQgAUEEdGoiAyABNgIIIAMgGrs5AwAgAiABQQFyIgNBAnRqKgIAIRogBCADQQR0aiIJIAM2AgggCSAauzkDACABQQJqIQEgC0ECaiILIAVHDQALCyAMQQFxRQ0AIAIgAUECdGoqAgAhGiAEIAFBBHRqIgIgATYCCCACIBq7OQMACyAGAn8gDUUEQEEAIQlBAAwBCyAEIA1BBHQiDmohByAIKALcAiEQIA5BBHUhDwJAIA5BEUgiFQ0AIA9BAmtBAXYiCiEBIA5BIEkNAANAAkAgCiABIglIDQAgBCABQQR0aiEDIAQgAUEBdCICQQFyIgVBBHRqIQECQCAPIAJBAmoiAkwEQCAFIQIMAQsgASsDACABKwMQZEUEQCAFIQIMAQsgAUEQaiEBCyADKwMAIh8gASsDAGMNACADKAIIIQsDQAJAIAMiBSABIgMpAwA3AwAgBSABKAIINgIIIAIgCkoNACAEIAJBAXQiAkEBciIFQQR0aiEBAkAgDyACQQJqIgJMBEAgBSECDAELIAErAwAgASsDEGRFBEAgBSECDAELIAFBEGohAQsgASsDACAfZEUNAQsLIAMgCzYCCCADIB85AwALIAlBAWshASAJQQBKDQALCwJAIAcgEEYNACAHIQEgDkEfSgRAIARBIGohCyAEQRBqIQkgD0ECa0EBdiEWIAEhBQNAAkAgBSsDACAEKwMAZEUNACAGIAX9AAMA/QsDCCAFIAQoAgg2AgggBSAEKQMANwMAIAQgBigCEDYCCCAEIAYpAwg3AwBBASECAkAgDkEgRgRAIAkhAQwBCyAJIgErAwAgCysDAGRFDQBBAiECIAshAQsgBCsDACIfIAErAwBjDQAgBCgCCCEXIAQhAwNAAkAgAyIKIAEiAykDADcDACAKIAEoAgg2AgggAiAWSg0AIAQgAkEBdCICQQFyIgpBBHRqIQECQCAPIAJBAmoiAkwEQCAKIQIMAQsgASsDACABKwMQZEUEQCAKIQIMAQsgAUEQaiEBCyABKwMAIB9kRQ0BCwsgAyAXNgIIIAMgHzkDAAsgBUEQaiIFIBBHDQALDAELA0AgASsDACAEKwMAZARAIAYgAf0AAwD9CwMIIAEgBCgCCDYCCCABIAQpAwA3AwAgBCAGKAIQNgIIIAQgBikDCDcDAAsgAUEQaiIBIBBHDQALCyAVRQRAIA1B/////wBxIQEDQCAGIAT9AAMA/QsDCCABIglBAmtBAXYhCkEAIQIgBCEBA0AgAkEBdCILQQFyIQMgASIFIAJBBHRqQRBqIQECQCAJIAtBAmoiAkwEQCADIQIMAQsgASsDACABKwMQZEUEQCADIQIMAQsgAUEQaiEBCyAFIAEpAwA3AwAgBSABKAIINgIIIAIgCkwNAAsCQCAHQRBrIgcgAUYEQCABIAYpAwg3AwAgASAGKAIQNgIIDAELIAEgBykDADcDACABIAcoAgg2AgggByAGKQMINwMAIAcgBigCEDYCCCABIARrQRBqIgJBEUgNACABKwMAIh8gBCACQQR2QQJrQQF2IgtBBHRqIgUrAwBjRQ0AIAEoAgghAwNAAkAgASAFIgIpAwA3AwAgASACKAIINgIIIAtFDQAgAiEBIAQgC0EBa0EBdiILQQR0aiIFKwMAIB9kDQELCyACIAM2AgggAiAfOQMACyAJQQFrIQEgCUECSg0ACwsgBkEANgJ8IAZCADcCdCANQdaq1SpPDQkgDUEwbCIBEDIiCSABagsiAzYCfCAGIAk2AnggBiAJNgJ0IAgoArQCIQREAAAAAAAAAAAhIAJAIBMoAvwBIgUgDE4EQEQAAAAAAAAAACEfDAELIAVBAWohAkQAAAAAAAAAACEfIAwgBSIBa0EBcQRAAkAgBCABQQJ0aioCACIaQwAAgP9bDQAgGrsiH0QAAAAAAAAAAKAhICAaQwAAAABeDQBEAAAAAAAAAAAhHwsgAiEBCyACIAxGDQADQAJ/AkAgBCABQQJ0aioCACIaQwAAgP9bDQAgICAauyIhoCEgIB8gIWNFDQAgAQwBCyAfISEgBQshAgJAIAQgAUEBaiIFQQJ0aioCACIaQwAAgP9cBEAgICAauyIfoCEgIB8gIWQNAQsgISEfIAIhBQsgDCABQQJqIgFHDQALCyAIKAK4AiEHIAZBADYCECAGQgA3AgggBCAHRwRAIAcgBGsiAUH9////B08NCSAGIAFBAXQQMiIKNgIIIAYgCiABQQJ1QQN0ajYCEAJAAkAgAUEEayIBQQRJBEAgBCECIAohAQwBCyAKIAFBAnZBAWoiDkH+////B3EiDEEDdGohASAEIAxBAnRqIQJBACELA0AgCiALQQN0aiAEIAtBAnRq/V0CAP1f/QsDACALQQJqIgsgDEcNAAsgDCAORg0BCwNAIAEgAioCALs5AwAgAUEIaiEBIAJBBGoiAiAHRw0ACwsgBiABNgIMCyAGQQhqEM4EAkAgDUEATARAIAkhCgwBCyAfICBEu73X2d982z2go7YhGiAgtiEbIAhB5AJqIQxBACELIAYoAnwhBCAGKAJ4IQogCSEBAkACQAJAA0AgBkEIaiICIAwgAhDNBCICQQJ0IgcgCCgCzAJqKgIAIRwgCCgCtAIgB2oqAgAhHQJAIAEgA0kEQCABQn83AxggASAbOAIUIAEgGjgCECABIBw4AgwgASAdOAIIIAEgBTYCBCABIAI2AgAgAUEANgIoIAFCfzcDICABQTBqIQoMAQsgASAJa0EwbSIOQQFqIgdB1qrVKk8NAkHVqtUqIAMgCWtBMG0iA0EBdCIPIAcgByAPSRsgA0Gq1aoVTxsiBwR/IAdB1qrVKk8NBCAHQTBsEDIFQQALIgQgDkEwbGoiA0J/NwMYIAMgGzgCFCADIBo4AhAgAyAcOAIMIAMgHTgCCCADIAU2AgQgAyACNgIAIANBADYCKCADQn83AyAgAyECIAEgCUcEQANAIAJBMGsiAiABQTBrIgH9AAMA/QsDACACIAH9AAMg/QsDICACIAH9AAMQ/QsDECABIAlHDQALCyAHQTBsIARqIQQgA0EwaiEKIAkEQCAJEC8LIAQhAyACIQkLIAkgC0EwbGoiASgCACICIBMoAvwBTgRAIAEgAjYCBCABIAEqAgg4AhALIAohASANIAtBAWoiC0cNAAsMAgsgBiAENgJ8IAYgCjYCeCAGIAk2AnQMCwsgBiAENgJ8IAYgCjYCeBBHAAsgBiAENgJ8IAYgCjYCeCAGIAk2AnQLIAYoAggiAQRAIAYgATYCDCABEC8LIAkgCkcEQCAAKAIYKAIAIQsCQAJAA0ACQCAGIBQ2AgggBiAIKAKsAjYCDCAILQCyAiEBIAZBADYCICAGQgA3AxggBiABOgAQIAgoAtQBIgEgCCgC0AEiA2siBEEwbSECIAEgA0cEQCACQdaq1SpPDQEgBiAEEDIiATYCHCAGIAE2AhggBiABIAJBMGxqNgIgIAgoAtABIgIgCCgC1AEiA0cEQANAIAEgAv0AAwD9CwMAIAEgAv0AAyD9CwMgIAEgAv0AAxD9CwMQIAFBMGohASACQTBqIgIgA0cNAAsLIAYgATYCHAsgBiAI/QAC3AH9CwIkIAYgCCgChAI2AkwgBiAIKQL8ATcCRCAGIAj9AALsAf0LAjQCfyASQQA2AgggEkIANwIAIAgoAowCIgIgCCgCiAIiA2siBEEMbSEBAkAgAiADRwRAIAFB1qrVqgFPDQEgEiAEEDIiBzYCBCASIAc2AgAgEiAHIAFBDGxqNgIIIAgoAogCIgUgCCgCjAIiD0cEQANAIAdBADYCCCAHQgA3AgAgBSgCBCIBIAUoAgAiAkcEQAJAAkACQCABIAJrIgFBAE4EQCAHIAEQMiICNgIEIAcgAjYCACAHIAIgAUF4cWo2AgggBSgCACIEIAUoAgQiDUYEQCACIQEMBAsgDSAEa0EIayIBQRhJDQEgAiAEa0EQSQ0BIAIgAUEDdkEBaiIQQf7///8DcSIOQQN0IgNqIQEgAyAEaiEDQQAhDANAIAIgDEEDdCITaiAEIBNq/QACAP0LAgAgDEECaiIMIA5HDQALIA4gEEYNAwwCCwwWCyAEIQMgAiEBCwNAIAEgAykCADcCACABQQhqIQEgA0EIaiIDIA1HDQALCyAHIAE2AgQLIAdBDGohByAFQQxqIgUgD0cNAAsLIBIgBzYCBAsgEgwBCwwOCyENAn8gEUEANgIIIBFCADcCACAIKAKYAiICIAgoApQCIgNrIgRBDG0hAQJAIAIgA0cEQCABQdaq1aoBTw0BIBEgBBAyIgc2AgQgESAHNgIAIBEgByABQQxsajYCCCAIKAKUAiIFIAgoApgCIhBHBEADQCAHQQA2AgggB0IANwIAIAUoAgQiASAFKAIAIgJHBEACQAJAAkAgASACayIBQQBOBEAgByABEDIiAjYCBCAHIAI2AgAgByACIAFBfHFqNgIIIAUoAgAiBCAFKAIEIg5GBEAgAiEBDAQLIA4gBGtBBGsiAUEMSQ0BIAIgBGtBEEkNASACIAFBAnZBAWoiE0H8////B3EiD0ECdCIDaiEBIAMgBGohA0EAIQwDQCACIAxBAnQiFWogBCAVav0AAgD9CwIAIAxBBGoiDCAPRw0ACyAPIBNGDQMMAgsMFgsgBCEDIAIhAQsDQCABIAMoAgA2AgAgAUEEaiEBIANBBGoiAyAORw0ACwsgByABNgIECyAHQQxqIQcgBUEMaiIFIBBHDQALCyARIAc2AgQLIBEMAQsMDgshDCAGIAgpAqACIiI3A2gCQCALIBRBDGwiDmoiAigCBCIBIAIoAggiA0kEQCABIAYpAwg3AwAgASAGLQAQOgAIIAFBADYCGCABQgA3AxAgASAGKAIYNgIQIAEgBigCHDYCFCABIAYoAiA2AhggBkEANgIgIAZCADcDGCABIAYoAkw2AkQgASAGKQJENwI8IAEgBv0AAjT9CwIsIAEgBv0AAiT9CwIcIAH9DAAAAAAAAAAAAAAAAAAAAAD9CwNIIAEgDSgCADYCSCABIAYoAlQ2AkwgBigCWCEDIAFCADcDWCABIAM2AlAgASAMKAIANgJUIAEgBigCYDYCWCABIAYoAmQ2AlwgBkIANwNgIA39DAAAAAAAAAAAAAAAAAAAAAD9CwMAIAEgBikDaDcDYCACIAFB6ABqNgIEDAELIAEgAigCACIEa0HoAG0iBUEBaiIBQePO2BNPDQNB4s7YEyADIARrQegAbSIDQQF0IgQgASABIARJGyADQbGn7AlPGyIBQePO2BNPDQ0gAUHoAGwiAxAyIgQgBUHoAGxqIgEgBikDCDcDACABIAYtABA6AAggASAGKAIYNgIQIAEgBigCHDYCFCABIAYoAiA2AhggBkEANgIgIAZCADcDGCABIAYoAkw2AkQgASAGKQJENwI8IAEgBv0AAjT9CwIsIAEgBv0AAiT9CwIcIAEgDf0AAwD9CwNIIAEgBigCYDYCWCABIAYoAmQ2AlwgBkIANwNgIA39DAAAAAAAAAAAAAAAAAAAAAD9CwMAIAEgIjcDYCADIARqIQQgAUHoAGohBwJAIAIoAgQiAyACKAIAIgVGBEAgAiABNgIAIAIgBzYCBCACIAQ2AggMAQsDQCABQegAayIBIANB6ABrIgMpAwA3AwAgASADLQAIOgAIIAEgAygCEDYCECABIAMoAhQ2AhQgASADKAIYNgIYIANBADYCGCADQgA3AxAgASADKAJENgJEIAEgAykCPDcCPCABIAP9AAIs/QsCLCABIAP9AAIc/QsCHCABIAMoAkg2AkggASADKAJMNgJMIAEgAygCUDYCUCADQQA2AlAgA0IANwNIIAEgAygCVDYCVCABIAMoAlg2AlggASADKAJcNgJcIANBADYCXCADQgA3AlQgASADKQNgNwNgIAMgBUcNAAsgAigCBCEFIAIoAgAhAyACIAE2AgAgAiAHNgIEIAIgBDYCCCADIAVGDQADQCAFQegAayIHKAJUIgQEQCAFQRBrIg8oAgAiAiAEIgFHBEADQCACQQxrIgEoAgAiCwRAIAJBCGsgCzYCACALEC8LIAEiAiAERw0ACyAHKAJUIQELIA8gBDYCACABEC8LIAVBIGsiDygCACIEBEAgBUEcayIQKAIAIgIgBCIBRwRAA0AgAkEMayIBKAIAIgsEQCACQQhrIAs2AgAgCxAvCyABIgIgBEcNAAsgDygCACEBCyAQIAQ2AgAgARAvCyAFQdgAaygCACIBBEAgBUHUAGsgATYCACABEC8LIAciBSADRw0ACwsgA0UNACADEC8LIAwoAgAiAwRAIAYoAmAiAiADIgFHBEADQCACQQxrIgEoAgAiBARAIAJBCGsgBDYCACAEEC8LIAEiAiADRw0ACyAMKAIAIQELIAYgAzYCYCABEC8LIA0oAgAiAwRAIAYoAlQiAiADIgFHBEADQCACQQxrIgEoAgAiBARAIAJBCGsgBDYCACAEEC8LIAEiAiADRw0ACyANKAIAIQELIAYgAzYCVCABEC8LIAYoAhgiAQRAIAYgATYCHCABEC8LAkAgACgCGCgCACAOaigCBCICQegAayIDKAIUIgEgAygCGEcEQCABIAn9AAMA/QsDACABIAn9AAMg/QsDICABIAn9AAMQ/QsDECADIAFBMGo2AhQMAQsgASACQdgAayIFKAIAIgdrQTBtIgJBAWoiBEHWqtUqTw0OQdWq1SogAkEBdCILIAQgBCALSRsgAkGq1aoVTxsiBAR/IARB1qrVKk8NDiAEQTBsEDIFQQALIgsgAkEwbGoiAiAJ/QADAP0LAwAgAiAJ/QADIP0LAyAgAiAJ/QADEP0LAxAgAkEwaiEMIAEgB0cEQANAIAJBMGsiAiABQTBrIgH9AAMA/QsDACACIAH9AAMg/QsDICACIAH9AAMQ/QsDECABIAdHDQALIAUoAgAhAQsgBSACNgIAIAMgDDYCFCADIAsgBEEwbGo2AhggAUUNACABEC8LIAAoAhgoAgAiCyAOaigCBEHIAGsiASABKwMAIAkqAgy7oDkDACAKIAlBMGoiCUcNAQwDCwsMCwsQNgALIAYoAnQhCgsgCkUNBCAGIAo2AnggChAvDAQLIAgoArQCIQQCQCACIApOBEBEAAAAAAAAAAAhH0EAIQVEAAAAAAAAAAAhIAwBCyAKIAJrIgFBAXEhGAJAIAJBAWogCkYEQEQAAAAAAAAAACEgQQAhBUQAAAAAAAAAACEfDAELIAFBfnEhCkQAAAAAAAAAACEgQQAhBUQAAAAAAAAAACEfQQAhAQNAAn8CQCAEIAJBAnRqKgIAIhpDAACA/1sNACAgIBq7IiGgISAgHyAhY0UNACACDAELIB8hISAFCyEDAkAgBCACQQFqIgVBAnRqKgIAIhpDAACA/1wEQCAgIBq7Ih+gISAgHyAhZA0BCyADIQUgISEfCyACQQJqIQIgAUECaiIBIApHDQALCyAYRQ0AIAQgAkECdGoqAgAiGkMAAID/Ww0AICAgGrsiIaAhICAfICFjRQ0AIAIhBSAhIR8LIAgoArgCIQogBkEANgIQIAZCADcCCAJAIAQgCkcEQCAKIARrIgFB/f///wdPDQEgBiABQQF0EDIiCTYCCCAGIAkgAUECdUEDdGo2AhACQAJAIAFBBGsiAUEESQRAIAQhAiAJIQEMAQsgCSABQQJ2QQFqIgxB/v///wdxIgdBA3RqIQEgBCAHQQJ0aiECQQAhAwNAIAkgA0EDdGogBCADQQJ0av1dAgD9X/0LAwAgA0ECaiIDIAdHDQALIAcgDEYNAQsDQCABIAIqAgC7OQMAIAFBCGohASACQQRqIgIgCkcNAAsLIAYgATYCDAsgBkEIaiIBEM4EIAEgCEHkAmogARDNBCIDQQJ0IgEgCCgCzAJqKgIAIRsgCCgCtAIgAWoqAgAhGiAGKAIIIgEEQCAGIAE2AgwgARAvCyAgtiEcIB8gIES7vdfZ33zbPaCjtiAaIAMgCygC/AFIIgEbIR0gBSADIAEbIQkgCCgC1AEiASAIKALYASIFSQRAIAFCfzcDGCABIBw4AhQgASAdOAIQIAEgGzgCDCABIBo4AgggASAJNgIEIAEgAzYCACABQgA3AyggAUJ/NwMgIAggAUEwajYC1AEMBAsgASAIKALQASIEa0EwbSIKQQFqIgJB1qrVKk8NCEHVqtUqIAUgBGtBMG0iBUEBdCIHIAIgAiAHSRsgBUGq1aoVTxsiBQR/IAVB1qrVKk8NCCAFQTBsEDIFQQALIgcgCkEwbGoiAkJ/NwMYIAIgHDgCFCACIB04AhAgAiAbOAIMIAIgGjgCCCACIAk2AgQgAiADNgIAIAJCADcDKCACQn83AyAgAkEwaiEDIAEgBEcEQANAIAJBMGsiAiABQTBrIgH9AAMA/QsDACACIAH9AAMg/QsDICACIAH9AAMQ/QsDECABIARHDQALIAgoAtABIQELIAggByAFQTBsajYC2AEgCCADNgLUASAIIAI2AtABIAFFDQMgARAvDAMLDAcLIAtFDQAgByABQQJ0aioCACIaQwAAgP9bDQAgICAauyIhoCEgIB8gIWNFDQAgASEDICEhHwsgHyAgRLu919nffNs9oKO2IR4CQCAKQQBMBEBDAAAAACEcQwAAAAAhGgwBCyAKQQFxIRkgCCgCzAIhByAIKAK0AiELAkAgCkEBRgRAQwAAAAAhHEMAAAAAIRpBACEBDAELIApBfnEhCkMAAAAAIRxDAAAAACEaQQAhAUEAIQUDQCALIAFBAnQiCWoqAgAiGyAaXgRAIAcgCWoqAgAhHCAbIRogASEECyALIAFBAXIiCUECdCINaioCACIbIBpeBEAgByANaioCACEcIBshGiAJIQQLIAFBAmohASAFQQJqIgUgCkcNAAsLIBlFDQAgGiALIAFBAnQiBWoqAgAiG11FDQAgBSAHaioCACEcIAEhBCAbIRoLICC2IRsgAyAEIAIgBEoiARshCSAeIBogARshHSAIKALUASIBIAgoAtgBIgVJBEAgAUJ/NwMYIAEgGzgCFCABIB04AhAgASAcOAIMIAEgGjgCCCABIAk2AgQgASAENgIAIAFCADcDKCABQn83AyAgCCABQTBqNgLUAQwBCyABIAgoAtABIgNrQTBtIgpBAWoiAkHWqtUqTw0FQdWq1SogBSADa0EwbSIFQQF0IgcgAiACIAdJGyAFQarVqhVPGyIFBH8gBUHWqtUqTw0FIAVBMGwQMgVBAAsiByAKQTBsaiICQn83AxggAiAbOAIUIAIgHTgCECACIBw4AgwgAiAaOAIIIAIgCTYCBCACIAQ2AgAgAkIANwMoIAJCfzcDICACQTBqIQQgASADRwRAA0AgAkEwayICIAFBMGsiAf0AAwD9CwMAIAIgAf0AAyD9CwMgIAIgAf0AAxD9CwMQIAEgA0cNAAsgCCgC0AEhAQsgCCAHIAVBMGxqNgLYASAIIAQ2AtQBIAggAjYC0AEgAUUNACABEC8LIAggCCsD4AEgCCgC1AFBJGsqAgC7oDkD4AELIAAoAgBBAf4eAgAiFCAAKAIEKAIASA0ACwsgBkGAAWokAA8LEEcACxA2AAvvOAQXfwN9AnsBfiMAQeAAayIIJAACQAJAIAAoAtgBIgogACgCwAFGBEAgAigCACEMIAIoAgQhCSACQfAAaiEQAkAgAigCdCACKAJwIgVrQQJ1IgYgCkkEQCAQIAogBmsQbiAQKAIAIQUMAQsgBiAKTQ0AIAIgBSAKQQJ0ajYCdAsgBSABKAKEqAEgAigCWCAKbEECdGogCkECdPwKAAACQCAEQwAAAABeRQ0AIApBAEwNACAQKAIAIQZBACEFIApBBE8EQCAKQXxxIQUgBP0TIR8DQCAGIAdBAnRqIgsgC/0AAgAgH/3nAf0LAgAgB0EEaiIHIAVHDQALIAUgCkYNAQsDQCAGIAVBAnRqIgcgByoCACAElTgCACAFQQFqIgUgCkcNAAsLIAJB5ABqIRUCQCACKAJoIAIoAmQiBmtBAnUiBSAKSQRAIBUgCiAFaxBuDAELIAUgCk0NACACIAYgCkECdGo2AmgLIAJB/ABqIRQCQCACKAKAASACKAJ8IgZrQQJ1IgUgCkkEQCAUIAogBWsQbgwBCyAFIApNDQAgAiAGIApBAnRqNgKAAQsgECgCACEHAkAgCSAMRyIWDQAgAy0AUUUNACAHIAAoAtwBQQJ0akGAgIB8NgIAIAhBIDsBICAIQQE6ACsgAEHEAWogCEEgahCMAiEFIBAoAgAiByAFKAIAQQJ0akGAgIB8NgIAIAgsACtBAE4NACAIKAIgEC8gECgCACEHCyAHIAAoAvgBQQJ0akGAgIB8NgIAAkAgAy0AFkUNACAKIAAoAvwBIgxMDQACQCAKIAxrIglBBEkEQCAMIQUMAQsgDCAJQXxxIgtqIQVBACEGA0AgByAGIAxqQQJ0av0MAACA/wAAgP8AAID/AACA//0LAgAgBkEEaiIGIAtHDQALIAkgC0YNAQsDQCAHIAVBAnRqQYCAgHw2AgAgBUEBaiIFIApHDQALCyAHIAAoAuABIglBAnRqQYCAgHw2AgAgByAAKAL0AUECdGpBgICAfDYCACADLQA8RQRAIAcgACgC7AFBAnRqQYCAgHw2AgALIAcgACgC5AFBAnRqQYCAgHw2AgAgByAAKALoAUECdGpBgICAfDYCACAHIAAoAvABQQJ0aiEYQQAhBQJAQczXNCgCACIMRQ0AIAxBBE8EQCAMQXxxIQVBACEGA0AgByAGQQFyIAlqQQJ0av0MAACA/wAAgP8AAID/AACA//0LAgAgBkEEaiIGIAVHDQALIAUgDEYNAQsDQCAHIAVBAWoiBSAJakECdGpBgICAfDYCACAFIAxHDQALCyAYQYCAgHw2AgAgAygCnAEiBQRAIAAgASACKAIAIgEgAigCBCABa0EwbSAHIAMoAqABIAURDAALIAMtAFJFDQJB4Nc0KAIAIgFB5Nc0KAIAIhdGDQEgAEHIAWohByAIQSBqQQxyIQkDQAJAIAEsAAtBAE4EQCAIIAEpAgA3AyAgCCABKAIINgIoDAELIAhBIGogASgCACABKAIEEGsLIwBBEGsiDSQAQZniABBoIQYCfyABLQALQQd2BEAgASgCBAwBCyABLQALQf8AcQshCwJ/An8jAEEQayIMJAAgBiALaiIFQe////8HTQRAAkAgBUELSQRAIAlCADcCACAJQQA2AgggCSAJLQALQYABcSAFcjoACyAJIAktAAtB/wBxOgALDAELIAkgBUELTwR/IAVBEGpBcHEiDiAOQQFrIg4gDkELRhsFQQoLQQFqIg4Q8wMhEiAJIAkoAghBgICAgHhxIA5B/////wdxcjYCCCAJIAkoAghBgICAgHhyNgIIIAkgEjYCACAJIAU2AgQLIAxBEGokACAJDAELEE0ACyIFLQALQQd2BEAgBSgCAAwBCyAFCyIFQZniACAGEHcgBSAGaiIFAn8gASIMLQALQQd2BEAgASgCAAwBCyAMCyALEHcgBSALakEBQQAQpAIgDUEQaiQAAkAgBygCACIGRQ0AIBAoAgAhEiAIKAIkIAgtACsiASABwEEASCIBGyENIAgoAiAgCEEgaiABGyEOIAchASAGIQUDQAJAIA0gBSgCFCAFLQAbIgsgC8BBAEgiCxsiDyANIA9JIhEbIhMEQCAFKAIQIAVBEGogCxsgDiATEEoiCw0BC0F/IBEgDSAPSxshCwsgASAFIAtBAEgiCxshASAFQQRqIAUgCxsoAgAiBQ0ACwJAAkAgASAHRg0AAkACQCABKAIUIAEtABsiBSAFwEEASCILGyIFIA0gBSANSRsiDwRAIA4gASgCECABQRBqIAsbIA8QSiIBDQELIAUgDU0NAQwCCyABQQBIDQELIAYhBQNAAkACQAJAAkACQAJAIAUoAhQgBS0AGyIBIAHAQQBIIg8bIgEgDSABIA1JIhEbIgsEQCAOIAUoAhAgBUEQaiAPGyIPIAsQSiITRQRAIAEgDUsNAgwDCyATQQBODQIMAQsgASANTQ0CCyAFKAIAIgUNBQwHCyAPIA4gCxBKIgENAQsgEQ0BDAILIAFBAE4NAQsgBSgCBCIFDQEMAwsLIBIgBSgCHEECdGpBgICAfDYCAAsgCCgCLCAJIAgtADciAcBBAEgiBRshDiAIKAIwIAEgBRshDSAHIQEgBiEFA0ACQCANIAUoAhQgBS0AGyILIAvAQQBIIgsbIg8gDSAPSSIRGyITBEAgBSgCECAFQRBqIAsbIA4gExBKIgsNAQtBfyARIA0gD0sbIQsLIAEgBSALQQBIIgsbIQEgBUEEaiAFIAsbKAIAIgUNAAsgASAHRg0BAkACQCABKAIUIAEtABsiBSAFwEEASCILGyIFIA0gBSANSRsiD0UNACAOIAEoAhAgAUEQaiALGyAPEEoiAUUNACABQQBODQEMAwsgBSANSw0CCwNAAkACQAJAAkAgBigCFCAGLQAbIgEgAcBBAEgiCxsiASANIAEgDUkiDxsiBQRAAkAgDiAGKAIQIAZBEGogCxsiCyAFEEoiEQRAIBFBAE4NAQwGCyABIA1LDQULIAsgDiAFEEoiAUUNASABQQBODQIMAwsgASANSw0DCyAPDQELIBIgBigCHEECdGpBgICAfDYCAAwECyAGKAIEIgZFDQIMAQsgBigCACIGDQALC0HxIxC3AQALIAgsADdBAEgEQCAIKAIsEC8LIAgsACtBAEgEQCAIKAIgEC8LIAxBDGoiASAXRw0ACwwBCyAIQa4oNgIYIAhBpSM2AhQgCEGmFTYCEEECQbDkACAIQRBqEDQQAAALIAhBADoAIiAIQaDaADsBICAIQQI6ACsgAEHEAWoiASAIQSBqEPACIQUgCCwAK0EASARAIAgoAiAQLwsCQCAFIABByAFqIgZGDQAgCEEAOgAiIAhBoNoAOwEgIAhBAjoAKyABIAhBIGoQjAIhBSAQKAIAIAUoAgBBAnRqQYCAgHw2AgAgCCwAK0EATg0AIAgoAiAQLwsgCEEAOgAiIAhBoM4AOwEgIAhBAjoAKyABIAhBIGoQ8AIhGSAILAArQQBIBEAgCCgCIBAvCyAZIAZGDQAgCEEAOgAiIAhBoM4AOwEgIAhBAjoAKyABIAhBIGoQjAIhASAQKAIAIAEoAgBBAnRqQYCAgHw2AgAgCCwAK0EATg0AIAgoAiAQLwsgAigCBCIBIAIoAgAiBWtBMG0hBgJAIAEgBUYNACABQTBrKAIAIQcgACgC/AEhAQJAAkAgBkECTwRAIAEgB0oNAyAGQTBsIAVqQeAAaygCACABTg0BIAAoAtwBIgFBAEwNAyAQKAIAIQZBACEFIAFBBE8EQCABQXxxIQVBACEHA0AgBiAHQQJ0av0MAACA/wAAgP8AAID/AACA//0LAgAgB0EEaiIHIAVHDQALIAEgBUYNBAsDQCAGIAVBAnRqQYCAgHw2AgAgBUEBaiIFIAFHDQALDAMLIAEgB0oNAiABIApIDQEMAgsgASAKTg0BCyAQKAIAIQYCQCAKIAFrIgxBBEkEQCABIQUMAQsgASAMQXxxIglqIQVBACEHA0AgBiABIAdqQQJ0av0MAACA/wAAgP8AAID/AACA//0LAgAgB0EEaiIHIAlHDQALIAkgDEYNAQsDQCAGIAVBAnRqQYCAgHw2AgAgBUEBaiIFIApHDQALCwJAIBYNACADKgJYIgRDAAAAAF5FDQACfyAEQwAA8EEgACgCJLKVlRA1IgSLQwAAAE9dBEAgBKgMAQtBgICAgHgLIgUgACgC/AEiB2pBAWoiASAKTg0AIBAoAgAhBgJAIAogBUF/c2ogB2siDEEESQRAIAEhBQwBCyABIAxBfHEiCWohBUEAIQcDQCAGIAEgB2pBAnRq/QwAAID/AACA/wAAgP8AAID//QsCACAHQQRqIgcgCUcNAAsgCSAMRg0BCwNAIAYgBUECdGpBgICAfDYCACAFQQFqIgUgCkgNAAsLAkAgAi0AYkUEQCAQKAIAIQcMAQsgAigCXCIBQQJtIQUgAigCcCEHIAFBAkgNAAJAIAUgACgC/AEiAWoiDCABQQFqIgUgBSAMSBsgAWsiCUEESQRAIAEhBQwBCyABIAlBfHEiC2ohBUEAIQYDQCAHIAEgBmpBAnRq/QwAAID/AACA/wAAgP8AAID//QsCACAGQQRqIgYgC0cNAAsgCSALRg0BCwNAIAcgBUECdGpBgICAfDYCACAFQQFqIgUgDEgNAAsLIAchBgJAIAcgAigCdCIBRg0AIAdBBGoiBSABRg0AIAcqAgAhBANAIAUgBiAEIAUqAgAiHF0iDBshBiAcIAQgDBshBCAFQQRqIgUgAUcNAAsLAkAgCkEATA0AIAYqAgAhHCAKQQFxIQECQCAKQQFGBEBDAAAAACEEQQAhBQwBCyAKQX5xIQxDAAAAACEEQQAhBUEAIQYDQCAHIAVBAnQiCWoqAgAiHUMAAID/XgRAIAQgHSAckxBFkiEECyAHIAlBBHJqKgIAIh1DAACA/14EQCAEIB0gHJMQRZIhBAsgBUECaiEFIAZBAmoiBiAMRw0ACwsCQCABRQ0AIAcgBUECdGoqAgAiHUMAAID/XkUNACAEIB0gHJMQRZIhBAsgBBBXIQQgCkEATA0AIBwgBJIhBCAUKAIAIQxBACEFAkAgCkEESQ0AIAwgB2tBEEkNACAKQXxxIQUgBP0TIR9BACEGA0AgDCAGQQJ0IgFqIAEgB2r9AAIAIiAgH/3lAf0MAACA/wAAgP8AAID/AACA/yAg/QwAAID/AACA/wAAgP8AAID//UT9Uv0LAgAgBkEEaiIGIAVHDQALIAUgCkYNAQsgBUEBciEBIApBAXEEQCAMIAVBAnQiBWogBSAHaioCACIcIASTQwAAgP8gHEMAAID/Xhs4AgAgASEFCyABIApGDQADQCAMIAVBAnQiAWogASAHaioCACIcIASTQwAAgP8gHEMAAID/Xhs4AgAgDCABQQRqIgFqIAEgB2oqAgAiHCAEk0MAAID/IBxDAACA/14bOAIAIAVBAmoiBSAKRw0ACwsgAigCfCIJIAAoAvwBIgxBAnRqIgEhBgJAIAEgAigCgAEiC0YNACABQQRqIgUgC0YNACABKgIAIQQDQCAFIAYgBCAFKgIAIhxdIg0bIQYgHCAEIA0bIQQgBUEEaiIFIAtHDQALC0MAAID/IR0CQCAKIAxMDQAgBioCACEcIAxBAWohGgJ9IAogDGtBAXFFBEAgDCEFQwAAAAAMAQsgDEEBaiEFIAkgDEECdGoqAgAiBEMAAID/XgR9IAQgHJMQRQVDAAAAAAsLIQQgGiAKRwRAA0AgCSAFQQJ0aiIGKgIAIh5DAACA/14EQCAEIB4gHJMQRZIhBAsgBioCBCIeQwAAgP9eBEAgBCAeIByTEEWSIQQLIAVBAmoiBSAKRw0ACwsgBEMAAAAAXkUNACAcIAQQV5IhHQsgCSEGAkAgDEECSQ0AIAZBBGohBSAGKgIAIQQgDEEBa0EDcSINBEBBACELA0AgBSAGIAQgBSoCACIcXSIOGyEGIBwgBCAOGyEEIAVBBGohBSALQQFqIgsgDUcNAAsLIAxB/v///wNqQf////8DcUEDSQ0AA0AgBUEMaiAFQQhqIAVBBGogBSAGIAQgBSoCACIcXSIGGyAcIAQgBhsiBCAFKgIEIhxdIgYbIBwgBCAGGyIEIAUqAggiHF0iBhsgHCAEIAYbIgQgBSoCDCIcXSILGyEGIBwgBCALGyEEIAVBEGoiBSABRw0ACwsCQAJAIAYqAgAgHV0EQCAMQQBMDQFBACEBQQAhBQJAIAxBBEkNACAJIAdrQRBJDQAgDEF8cSEFQQAhBgNAIAcgBkECdCIAav0MAACA/wAAgP8AAID/AACA//0LAgAgACAJav0MAACA/wAAgP8AAID/AACA//0LAgAgBkEEaiIGIAVHDQALIAUgDEYNAgsgDCAFQX9zaiEbIAxBA3EiAgRAA0AgByAFQQJ0IgNqQYCAgHw2AgAgAyAJakGAgIB8NgIAIAVBAWohBSABQQFqIgEgAkcNAAsLIBtBA0kNAQNAIAcgBUECdCIAakGAgIB8NgIAIAAgCWpBgICAfDYCACAHIABBBGoiAWpBgICAfDYCACABIAlqQYCAgHw2AgAgByAAQQhqIgFqQYCAgHw2AgAgASAJakGAgIB8NgIAIAcgAEEMaiIAakGAgIB8NgIAIAAgCWpBgICAfDYCACAFQQRqIgUgDEcNAAsMAQsgAygCqAFFDQACQCACKAI4IAIoAjxGDQAgAkHEAGoiDigCACACKAJIRg0AIAAoAtwBIQsgCEEANgJcIAhCADcCVCAIQQA2AlAgCEIANwJIAkAgC0EATA0AIABB1AFqIQxBACEGAkADQAJAAkAgDCIBIgUoAgAiB0UNAANAIAciBSgCECIBIAZKBEAgBSEBIAUoAgAiBw0BDAILIAEgBk4NAiAFKAIEIgcNAAsgBUEEaiEBC0EgEDIiByAGNgIQIAcgBTYCCCAHQgA3AgAgB0IANwIUIAdBADYCHCABIAc2AgAgByEFIAAoAtABKAIAIgkEQCAAIAk2AtABIAEoAgAhBQsgACgC1AEgBRCkASAAIAAoAtgBQQFqNgLYAQsCQAJAIAcoAhggBy0AHyIBIAHAQQBIIgEbRQ0AIAdBFGoiBSgCACEHIAggAikDUCIhNwMIIAggITcDQCAIQSBqIAcgBSABGyAIQQhqENgEAkAgCCgCWCIBIAgoAlxJBEAgAUEANgIIIAFCADcCACABIAgoAiA2AgAgASAIKAIkNgIEIAEgCCgCKDYCCCAIQQA2AiggCEIANwIgIAEgCCkCLDcCDCAIIAFBFGo2AlgMAQsCQAJAAkAgCCgCWCAIKAJUIgVrQRRtIgdBAWoiAUHNmbPmAEkEQEHMmbPmACAIKAJcIAVrQRRtIgVBAXQiCSABIAEgCUkbIAVB5syZM08bIgFBzZmz5gBPDQEgAUEUbCIBEDIiCSAHQRRsaiIFIAgoAiA2AgAgBSAIKAIkNgIEIAUgCCgCKDYCCCAIQQA2AiggCEIANwIgIAUgCCkCLDcCDCABIAlqIQEgBUEUaiEJIAgoAlgiByAIKAJUIg1GDQIDQCAFQRRrIgUgB0EUayIHKAIANgIAIAUgBygCBDYCBCAFIAcoAgg2AgggB0EANgIIIAdCADcCACAFIAcpAgw3AgwgByANRw0ACyAIIAE2AlwgCCgCWCEBIAggCTYCWCAIKAJUIQcgCCAFNgJUIAEgB0YNAwNAIAFBFGsiBSgCACIJBEAgAUEQayAJNgIAIAkQLwsgBSIBIAdHDQALDAMLEDYACxBHAAsgCCABNgJcIAggCTYCWCAIIAU2AlQLIAcEQCAHEC8LIAgoAiAiAUUNACAIIAE2AiQgARAvCyAIKAJYQRRrIgEoAgAhDSABKQIMISEgCCgCTCIFIAgoAlAiCUkEQCAFICE3AgggBSANNgIEIAUgBjYCACAIIAVBEGo2AkwMAQsgBSAIKAJIIgFrQQR1IhJBAWoiB0GAgICAAU8NAUH/////ACAJIAFrIglBA3UiDyAHIAcgD0kbIAlB8P///wdPGyIJBH8gCUGAgICAAU8NBCAJQQR0EDIFQQALIg8gEkEEdGoiByAhNwIIIAcgDTYCBCAHIAY2AgAgB0EQaiENIAEgBUcEQANAIAdBEGsiByAFQRBrIgX9AAIA/QsCACABIAVHDQALIAEhBQsgCCAPIAlBBHRqNgJQIAggDTYCTCAIIAc2AkggBUUNACAFEC8LIAZBAWoiBiALRw0BDAMLCxA2AAsQRwALIAhBIGogAkE4aiAOIAhByABqEM8EIAgoAiAiACAIKAIkIgFHBEAgAyoCsAEhBCAQKAIAIQMgACEFA0AgAyAFKAIAQQJ0aiIGIAYqAgAgBJM4AgAgBUEQaiIFIAFHDQALCyAABEAgCCAANgIkIAAQLwsgCCgCSCIABEAgABAvCyAIKAJUIgBFDQAgCCgCWCIHIAAiBUcEQANAIAdBFGsiASgCACIDBEAgB0EQayADNgIAIAMQLwsgASIHIABHDQALIAgoAlQhBQsgCCAANgJYIAUQLwsgAigCcCIBIQYCQCABIAIoAnQiAEYNACABQQRqIgUgAEYNACAGKgIAIQQDQCAFIAYgBCAFKgIAIhxdIgIbIQYgHCAEIAIbIQQgBUEEaiIFIABHDQALCyAKQQBMDQEgBioCACEcIApBAXEhAAJAIApBAUYEQEMAAAAAIQRBACEFDAELIApBfnEhAkMAAAAAIQRBACEFQQAhBgNAIAEgBUECdCIDaioCACIdQwAAgP9eBEAgBCAdIByTEEWSIQQLIAEgA0EEcmoqAgAiHUMAAID/XgRAIAQgHSAckxBFkiEECyAFQQJqIQUgBkECaiIGIAJHDQALCwJAIABFDQAgASAFQQJ0aioCACIdQwAAgP9eRQ0AIAQgHSAckxBFkiEECyAEEFchBCAKQQBMDQEgHCAEkiEEIBQoAgAhAkEAIQUCQCAKQQRJDQAgAiABa0EQSQ0AIApBfHEhBSAE/RMhH0EAIQYDQCACIAZBAnQiAGogACABav0AAgAiICAf/eUB/QwAAID/AACA/wAAgP8AAID/ICD9DAAAgP8AAID/AACA/wAAgP/9RP1S/QsCACAGQQRqIgYgBUcNAAsgBSAKRg0BCyAFQQFyIQAgCkEBcQRAIAIgBUECdCIDaiABIANqKgIAIhwgBJNDAACA/yAcQwAAgP9eGzgCACAAIQULIAAgCkYNAANAIAIgBUECdCIAaiAAIAFqKgIAIhwgBJNDAACA/yAcQwAAgP9eGzgCACACIABBBGoiAGogACABaioCACIcIASTQwAAgP8gHEMAAID/Xhs4AgAgBUECaiIFIApHDQALCyAKQQBMDQAgFSgCACEAIBQoAgAhASAQKAIAIQJBACEFIApBAUcEQCAKQX5xIQZBACELA0BDAAAAACEEQwAAAAAhHCACIAVBAnQiA2oqAgBDAACA/1wEQCABIANqKgIAEEUhHAsgACADaiAcOAIAIAIgBUEBckECdCIDaioCAEMAAID/XARAIAEgA2oqAgAQRSEECyAAIANqIAQ4AgAgBUECaiEFIAtBAmoiCyAGRw0ACwsgCkEBcUUNAEMAAAAAIQQgAiAFQQJ0IgNqKgIAQwAAgP9cBEAgASADaioCABBFIQQLIAAgA2ogBDgCAAsgCEHgAGokAAvUEQEQfyMAQSBrIggkAAJAAkACQAJAAkACQAJAAkACQAJAAkACQAJAAkAgASgCBCIGIAEoAgBGBEAgAigCBCIHIAIoAghGDQEgB0EANgIIIAdCADcCACABKAIEIgAgASgCACIGRg0MIAAgBmsiBkEASA0CIAcgBhAyIgA2AgQgByAANgIAIAcgACAGQXxxajYCCCABKAIAIgQgASgCBCIBRgRAIAAhBgwMCyABIARrQQRrIgZBDEkNCSAAIARrQRBJDQkgACAGQQJ2QQFqIglB/P///wdxIgpBAnQiA2ohBiADIARqIQMDQCAAIAVBAnQiC2ogBCALav0AAgD9CwIAIAVBBGoiBSAKRw0ACyAJIApGDQsMCgsCQCAGQQRrKAIAIgooAgAiBkEDa0ECTwRAIAZBAkcNASAKQQhqIQsgACgCACAKKAIEQQxsaigCACEGA0AgASgCACEDIAEoAgQhBCAIQQA2AhwgCEIANwIUAkACQCAEQQRrIgQgA0cEQCAEIANrIgVBAEgNEyAIIAUQMiIENgIYIAggBDYCFCAIIAQgBUF8cSIFaiIHNgIcIAQgAyAF/AoAACAIIAQgBWoiAzYCGCAKKAIIQQJJDQIgAyAHTw0BIAMgCzYCACAIIANBBGo2AhgMAgtBACEEQQAhB0EAIQMgCigCCEECSQ0BCyADIARrIgxBAnUiDUEBaiIFQYCAgIAETw0RQf////8DIAcgBGsiB0EBdSIJIAUgBSAJSRsgB0H8////B08bIgkEfyAJQYCAgIAETw0HIAlBAnQQMgVBAAsiDiANQQJ0aiIFIAs2AgAgBUEEaiENIAMgBEcEQAJAIAxBBGsiB0EMTwRAIAVBEGshDyADQRBrIRAgAyAHQQJ2QQFqIhFB/P///wdxIgxBAnQiB2shAyAFIAdrIQVBACEHA0AgDyAHQQJ0IhJrIBAgEmv9AAIA/QsCACAHQQRqIgcgDEcNAAsgDCARRg0BCwNAIAVBBGsiBSADQQRrIgMoAgA2AgAgAyAERw0ACwsgCCgCFCEECyAIIA4gCUECdGo2AhwgCCANNgIYIAggBTYCFCAERQ0AIAQQLwsCQCAGKAIAQQJJDQAgCCgCGCIDIAgoAhxHBEAgAyAGNgIAIAggA0EEajYCGAwBCyADIAgoAhQiDGsiBEECdSIHQQFqIgVBgICAgARPDRFB/////wMgBEEBdSIJIAUgBSAJSRsgBEH8////B08bIgkEfyAJQYCAgIAETw0HIAlBAnQQMgVBAAsiDSAHQQJ0aiIFIAY2AgAgBUEEaiEOIAMgDEcEQAJAAkAgBEEEayIHQSxJDQAgAyAEIA1qa0EQSQ0AIAVBEGshDyADQRBrIRAgAyAHQQJ2QQFqIhFB/P///wdxIgRBAnQiB2shAyAFIAdrIQVBACEHA0AgDyAHQQJ0IhJrIBAgEmv9AAIA/QsCACAHQQRqIgcgBEcNAAsgBCARRg0BCwNAIAVBBGsiBSADQQRrIgMoAgA2AgAgAyAMRw0ACwsgCCgCFCEDCyAIIA0gCUECdGo2AhwgCCAONgIYIAggBTYCFCADRQ0AIAMQLwsgACAIQRRqIAIQiwIDQCAGIgNBCGohBiADKAIAIgRBAUsNAAsgBEEBRiIEQQN0IQUgCCgCFCIGBEAgCCAGNgIYIAYQLwsgAyAFaiEGIAQNAAsMDgsgAigCBCIHIAIoAghGDQEgB0EANgIIIAdCADcCACABKAIEIgAgASgCACIGRg0IIAAgBmsiBkEASA0EIAcgBhAyIgA2AgQgByAANgIAIAcgACAGQXxxajYCCCABKAIAIgQgASgCBCIBRgRAIAAhBgwICyABIARrQQRrIgZBDEkNBSAAIARrQRBJDQUgACAGQQJ2QQFqIglB/P///wdxIgpBAnQiA2ohBiADIARqIQMDQCAAIAVBAnQiC2ogBCALav0AAgD9CwIAIAVBBGoiBSAKRw0ACyAJIApGDQcMBgsgCEGbITYCCCAIQfUfNgIEIAhBphU2AgBBAkGw5AAgCBA0EAAAC0EAIQdBACEKAkACQAJAAkACQAJAIAIoAgQiBCACKAIAIglrQQxtIgZBAWoiAEHWqtWqAUkEQEHVqtWqASACKAIIIAlrQQxtIgNBAXQiBSAAIAAgBUkbIANBqtWq1QBPGyILBEAgC0HWqtWqAU8NAiALQQxsEDIhBwsgByAGQQxsaiIFQQA2AgggBUIANwIAIAEoAgQiDCABKAIAIgFGDQYgDCABayIAQQBIDQIgBSAAEDIiBjYCACAFIAYgAEF8cWo2AgggAEEEayIAQQxJDQMgBiABa0EQSQ0DIAYgAEECdkEBaiIOQfz///8HcSINQQJ0IgNqIQAgASADaiEDA0AgBiAKQQJ0Ig9qIAEgD2r9AAIA/QsCACAKQQRqIgogDUcNAAsgDSAORg0FDAQLEDYACxBHAAsQNgALIAEhAyAGIQALA0AgACADKAIANgIAIABBBGohACADQQRqIgMgDEcNAAsLIAUgADYCBAsgByALQQxsaiEAIAVBDGohAQJAIAQgCUcEQANAIAVBDGsiBUEANgIIIAUgBEEMayIEKAIANgIAIAUgBCgCBDYCBCAFIAQoAgg2AgggBEEANgIIIARCADcCACAEIAlHDQALIAIgADYCCCACKAIEIQAgAiABNgIEIAIoAgAhBCACIAU2AgAgACAERg0BA0AgAEEMayIBKAIAIgIEQCAAQQhrIAI2AgAgAhAvCyABIgAgBEcNAAsMAQsgAiAANgIIIAIgATYCBCACIAU2AgALIAQEQCAEEC8LDAsLEDYACxBHAAsQNgALIAQhAyAAIQYLA0AgBiADKAIANgIAIAZBBGohBiADQQRqIgMgAUcNAAsLIAcgBjYCBAsgAiAHQQxqNgIEDAQLIAQhAyAAIQYLA0AgBiADKAIANgIAIAZBBGohBiADQQRqIgMgAUcNAAsLIAcgBjYCBAsgAiAHQQxqNgIECyAIQSBqJAAPCxA2AAvcAQEGfwJAAkAgACgCBCIARQ0AIAEoAgAgASABLQALIgLAQQBIIgMbIQUgASgCBCACIAMbIQEDQAJAAkACQAJAAkAgACgCFCAALQAbIgIgAsBBAEgiBBsiAiABIAEgAksiBhsiAwRAIAUgACgCECAAQRBqIAQbIgQgAxBKIgdFBEAgASACSQ0CDAMLIAdBAE4NAgwBCyABIAJPDQILIAAoAgAiAA0EDAULIAQgBSADEEoiAg0BCyAGDQEMBAsgAkEATg0DCyAAKAIEIgANAAsLQfEjELcBAAsgAEEcagsxACABBEAgACABKAIAEI0CIAAgASgCBBCNAiABLAAbQQBIBEAgASgCEBAvCyABEC8LCzEAIAEEQCAAIAEoAgAQjgIgACABKAIEEI4CIAEsABtBAEgEQCABKAIQEC8LIAEQLwsLMQAgAQRAIAAgASgCABCPAiAAIAEoAgQQjwIgASwAH0EASARAIAEoAhQQLwsgARAvCwv6AgEDfyABIAEoAggRAAAiAUEBIAEoAgARBAAhA0GcEBA7IQEgAxDoBCEEIAEgAygCHCIFIAUoAgQRAAAiBTYCDCABIAQ2AgggAUEBNgIEIAEgAzYCACABQRxqQQBBgBD8CwAgAygCJBogAUH/////BzYCGCABQQE2AhAgAUEBOgCYECABIAQgBSAEIAVwayAFcGo2AhRBCBA7IgMQggQ2AgQgAyABNgIAIAAgAzYCAEEAIQFBICEDA0AgASADaiIEQQF2IgVBAWogASAEQRhJIgQbIgEgAyAFIAQbIgNJDQALAkAgAUEfTQR/IAFBAnRBgKMBaigCAEECdEHMgAFqBUHQgAILQYCAzwBqIgEgACgCCCAAKAIEIgRrIgNLBEAgAEEEaiABIANrEPECDAELIAEgA08NACAAIAEgBGo2AggLIAIoAhAiAUUEQEEEEF4iAEGoxwI2AgAgAEHQxwJBzAAQAgALIAAoAgAgASABKAIAKAIYEQAAENoBC14BAX8jAEEQayICJAAgACgCAEE8RwRAQbzDAigCABAwGiACQdPLADYCCCACQdIENgIEIAJBmyc2AgBBuMMCKAIAQcvkACACEDEQAAALIAAoAjQgATYCACACQRBqJAALTwECfyAAKAIAIgBBATYCECAAIAAoAggiAiAAKAIMIgEgAiABcGsgAXAiAWo2AhQgACAALQCYEAR/Qf////8HBSAAKAIAKAIkIAFrCzYCGAuoBQEJfyMAQSBrIgMkACAAKAIIIgEoAhghByABKAIEIQUgASgCACEGQX8hAgNAAkACQCAFKAIMIgFFBEAgACgCCCEBDAELIAUoAhAgAREAACEJIAAoAgghASAJRQ0AQQEhAiABQQH+HgIgGgwBCwJAIAFBAf4lAhxBAUYEQCADQQA2AhQgA0ICNwIMIAMgBSgCADYCGCADIAUoAgQ2AhwgAkF/RwRAIAYoAgwgAkECdGooAgAiASgCQEHw1jRqLQAABEAgAyABIAcQ2wE2AhQgA0EMaiABEMoBCyAAKAIIIQQgASABKAK0AUEBajYCtAEgASAB/QADuAEgBP0AAwj90QH9CwO4AQsCQCACQQFqIgEgBigCBE4NAANAIAYoAgwgAUECdGooAgAiAiAHENsBIQQgACgCCP0MAAAAAAAAAAAAAAAAAAAAAP0LAwggAyAENgIUIAIoAkBBoNY0ai0AAARAIANBADYCDCADQQxqIAIQygELIARBAUcNASADQQE2AgwgA0EMaiIIIAIQygEgAigCQEHw1jRqLQAABEAgA0ECNgIMIAggAhDKAQsgACgCCCEEIAIgAigCtAFBAWo2ArQBIAIgAv0AA7gBIAT9AAMI/dEB/QsDuAEgBSgCDCICBEAgBSgCECACEQAADQILIAFBAWoiASAGKAIESA0ACwsgACgCCCAH/hcCHCAAKAIIIAH+FwIgDAELA0AgACgCCP4QAiAiASACRg0ACwsgBigCBCABTARAQQAhAgwBCyAGKAIMIAFBAnRqKAIAIgggBxDbASECIANBATYCDCAAKAIEIQQgAyACNgIUIAMgBDYCECADIAUoAgA2AhggAyAFKAIENgIcIAIgBEoEQCADQQxqIAgQygELIAEhAgwBCwsgA0EgaiQAIAILFQAgAEHstgM2AgAgAEEEahD7AiAACwwAIAAQ/AIaIAAQLwtLAQJ/IAAoAgQiBkEIdSEHIAAoAgAiACABIAIgBkEBcQR/IAcgAygCAGooAgAFIAcLIANqIARBAiAGQQJxGyAFIAAoAgAoAhQRDAALmgEAIABBAToANQJAIAAoAgQgAkcNACAAQQE6ADQCQCAAKAIQIgJFBEAgAEEBNgIkIAAgAzYCGCAAIAE2AhAgA0EBRw0CIAAoAjBBAUYNAQwCCyABIAJGBEAgACgCGCICQQJGBEAgACADNgIYIAMhAgsgACgCMEEBRw0CIAJBAUYNAQwCCyAAIAAoAiRBAWo2AiQLIABBAToANgsLXQEBfyAAKAIQIgNFBEAgAEEBNgIkIAAgAjYCGCAAIAE2AhAPCwJAIAEgA0YEQCAAKAIYQQJHDQEgACACNgIYDwsgAEEBOgA2IABBAjYCGCAAIAAoAiRBAWo2AiQLCxAAQci7A/4QAgARCQAQRgALHQEBf0EYEDIQhAMiAUEMahCEAxogACABNgIAIAALQwACQEHgmDX+EgAAQQFxDQBB4Jg1EFRFDQBB2Jg1Qf0DEJIEBEAQRgALQdyYNUHYmDU2AgBB4Jg1EFMLQdyYNSgCAAuaAQECfwJ/QcitAy4BACIBRQRAIwNBHGpBHDYCAEF/DAELAkACQCABQX5KDQBB6aAMIQACQAJAAkACQAJAAkACQCABQf8BcUEBaw4LCAABAgMEBAUFBgMHC0GAgAgMCAtBgIACDAcLQYCABAwGC0H/////BwwFCxAZDAQLEBhBEHYMAwtBAAwCCyABIQALIAALIgBBACAAQQBKGwsjAQF/AkAgACgCACIBBEAgARCTBEUNAQsQRgALIABBADYCAAsdACAAIAFBwIQ9biIAEKkBIAEgAEHAhD1saxCfAgsdACAAIAFBkM4AbiIAEKkBIAEgAEGQzgBsaxCgAgsbACAAIAFB5ABuIgAQqQEgASAAQeQAbGsQqQEL+wEBA38jAEEQayICJAAgAiABNgIMAkACQAJ/IAAtAAsiA0EHdiIERQRAQQEhASADQf8AcQwBCyAAKAIIQf////8HcUEBayEBIAAoAgQLIgMgAUYEQCAAIAFBASABIAEQhgMCfyAALQALQQd2BEAgACgCAAwBC0EACxoMAQsCfyAALQALQQd2BEAgACgCAAwBC0EACxogBA0AIAAiASADQQFqIAAtAAtBgAFxcjoACyAAIAAtAAtB/wBxOgALDAELIAAoAgAhASAAIANBAWo2AgQLIAEgA0ECdGoiACACKAIMNgIAIAJBADYCCCAAIAIoAgg2AgQgAkEQaiQAC/gBAQN/IwBBEGsiAiQAIAIgAToADwJAAkACfyAALQALIgNBB3YiBEUEQEEKIQEgA0H/AHEMAQsgACgCCEH/////B3FBAWshASAAKAIECyIDIAFGBEAgACABQQEgASABEKUCAn8gAC0AC0EHdgRAIAAoAgAMAQtBAAsaDAELAn8gAC0AC0EHdgRAIAAoAgAMAQtBAAsaIAQNACAAIgEgA0EBaiAALQALQYABcXI6AAsgACAALQALQf8AcToACwwBCyAAKAIAIQEgACADQQFqNgIECyABIANqIgAgAi0ADzoAACACQQA6AA4gACACLQAOOgABIAJBEGokAAvgAgIFfwJ+An8jAEHwAGsiAyQAAkACQAJAIAEoAjAiAiABKAIAIgVBJGwiBEGYmwFqKAIARw0AIAE1AjQiByABKQMQIAKtfiAEQZSbAWo0AgB/Ug0AIAE1AjgiCCAHIAEpAxh+Ug0AIAE1AjwgASkDICAIflINACABKAKIASEGIAAgBSABKAIMIAFBEGpBAEEAEEkiAkUNASACQSc2AkAgAkMAAIA/OAJEIAYEfyAAIAIoAgAgAigCDCACQRBqQQBBABBJBUEACyEAIAIgATYCjAEgAiAANgKIASACQQA2ApABIANB8ABqJAAgAgwDC0G8wwIoAgAQMBogA0HF1wA2AmggA0GvJjYCZCADQeQmNgJgQbjDAigCAEHL5AAgA0HgAGoQMQwBC0G8wwIoAgAQMBogA0HXLzYCGCADQcYUNgIUIANB5CY2AhBBuMMCKAIAQcvkACADQRBqEDELEAAACws9AQF/IwBBEGsiAyQAIAMgAjoADwNAIAEEQCAAIAMtAA86AAAgAUEBayEBIABBAWohAAwBCwsgA0EQaiQAC8MCAQV/IwBBEGsiBSQAIAJB7////wcgAWtNBEACfyAALQALQQd2BEAgACgCAAwBCyAACyEGIAVBBGoiByAAIAFB5////wNJBH8gBSABQQF0NgIMIAUgASACajYCBCMAQRBrIgIkACAHKAIAIAVBDGoiCCgCAEkhCSACQRBqJAAgCCAHIAkbKAIAIgJBC08EfyACQRBqQXBxIgIgAkEBayICIAJBC0YbBUEKC0EBagVB7////wcLEMMBIAUoAgQhAiAFKAIIGiAEBEAgAiAGIAQQdwsgAyAERwRAIAIgBGogBCAGaiADIARrEHcLIAFBAWoiAUELRwRAIAAgBiABEPEBCyAAIAI2AgAgACAAKAIIQYCAgIB4cSAFKAIIQf////8HcXI2AgggACAAKAIIQYCAgIB4cjYCCCAFQRBqJAAPCxBNAAswACAAKAIARQRAIABBfxCVBA8LIAAoAgwEQCAAQQhqIgBBAf4eAgAaIAAQ+gELQQAL5wEBB38jAEEgayIEJAAgASgCiAEhCCAAIAEoAgAgASgCDCABQRBqIAFBABBJIQcgBCABQdQBaiICNgIQIAdBycsAIARBEGoQcyIDIAEoAjA2AjAgAyABKAI0NgI0IAMgASgCODYCOCADIAEoAjw2AjwgBCACNgIAIANBgtUAIAQQcyICIAEpAxg3AxAgAiABKQMQNwMYIAMgASgCNDYCMCADIAEoAjA2AjQgAkEhNgJAIAgEQCAAIAIoAgAgAigCDCACQRBqQQBBABBJIQULIAIgATYCjAEgAiAFNgKIASAEQSBqJAAgAgsNACAAIAEgAkJ/EOADCxcAIAAoAggQREcEQCAAKAIIEOMDCyAAC0wBAX8jAEEQayIGJAAgBiACNwMAIAYgAzcDCCAAIAFBAiAGIAUQqwIiACADpyAEbCIBNgI8IAAgATYCOCAAIAQ2AjQgBkEQaiQAIAALwgEBA38jAEEgayIFJAAgASgCiAEhBiAAIAEoAgAgAiADIAEgBBBJIQcgBSABQdQBajYCECAHQcnLACAFQRBqEHMiAgRAIAJBHzYCQCACIAQ2AkQgBgR/IAAgAigCACACKAIMIAJBEGpBAEEAEEkFQQALIQQgAiABNgKMASACIAQ2AogBIAVBIGokACACDwtBvMMCKAIAEDAaIAVB1y82AgggBUHGFDYCBCAFQeQmNgIAQbjDAigCAEHL5AAgBRAxEAAACzgBAn8jAEEQayIDJAAgAyACNgIMIANBCGogA0EMahB/IQQgACABEMICIQAgBBB+IANBEGokACAACwQAQQELNwECfyMAQRBrIgIkACACIAAoAgA2AgwgAiACKAIMIAFBAnRqNgIMIAIoAgwhAyACQRBqJAAgAws0AQJ/IwBBEGsiAiQAIAIgACgCADYCDCACIAIoAgwgAWo2AgwgAigCDCEDIAJBEGokACADC4QCAQV/IwBBIGsiAyQAAkACQCAAKAIAIgUgAkEDakF8cSIHIAAoAhQiBAR/IAQoAgQgBCgCAGoFQQALIgZqIgJBFGpJBEAgAyAFNgIIIAMgAjYCBCADQb4PNgIAQe/yACADELMBQQAhAgwBCyAAKAIEIgUgBmoiAkEANgIQIAIgATYCDCACQQA2AgggAiAHNgIEIAIgBkEUaiIBNgIAIAEgBWpBA3ENASAEQQhqIABBEGogBBsgAjYCACAAIAI2AhQLIANBIGokACACDwtBvMMCKAIAEDAaIANBlsEANgIYIANBjBM2AhQgA0HkJjYCEEG4wwIoAgBBy+QAIANBEGoQMRAAAAsxACACKAIAIQIDQAJAIAAgAUcEfyAAKAIAIAJHDQEgAAUgAQsPCyAAQQRqIQAMAAsAC/oEAQF/IwBBEGsiDCQAIAwgADYCDAJAAkAgACAFRgRAIAEtAABFDQFBACEAIAFBADoAACAEIAQoAgAiAUEBajYCACABQS46AAACfyAHLQALQQd2BEAgBygCBAwBCyAHLQALQf8AcQtFDQIgCSgCACIBIAhrQZ8BSg0CIAooAgAhAiAJIAFBBGo2AgAgASACNgIADAILAkAgACAGRw0AAn8gBy0AC0EHdgRAIAcoAgQMAQsgBy0AC0H/AHELRQ0AIAEtAABFDQFBACEAIAkoAgAiASAIa0GfAUoNAiAKKAIAIQAgCSABQQRqNgIAIAEgADYCAEEAIQAgCkEANgIADAILQX8hACALIAtBgAFqIAxBDGoQsQIgC2siBkH8AEoNASAGQQJ1QdDqAmosAAAhBQJAAkAgBkF7cSIAQdgARwRAIABB4ABHDQEgAyAEKAIAIgFHBEBBfyEAIAFBAWssAAAiA0HfAHEgAyADQeEAa0EaSRsgAiwAACICQd8AcSACIAJB4QBrQRpJG0cNBQsgBCABQQFqNgIAIAEgBToAAEEAIQAMBAsgAkHQADoAAAwBCyAFQd8AcSAFIAVB4QBrQRpJGyIAIAIsAABHDQAgAiAAQSByIAAgAEHBAGtBGkkbOgAAIAEtAABFDQAgAUEAOgAAAn8gBy0AC0EHdgRAIAcoAgQMAQsgBy0AC0H/AHELRQ0AIAkoAgAiACAIa0GfAUoNACAKKAIAIQEgCSAAQQRqNgIAIAAgATYCAAsgBCAEKAIAIgBBAWo2AgAgACAFOgAAQQAhACAGQdQASg0BIAogCigCAEEBajYCAAwBC0F/IQALIAxBEGokACAAC6YBAQJ/IwBBEGsiBiQAIAZBDGoiBSABKAIcIgE2AgAgAUEEakEB/h4CABogBRBsIgFB0OoCQfDqAiACIAEoAgAoAjARCAAaIAMgBRC/ASIBIAEoAgAoAgwRAAA2AgAgBCABIAEoAgAoAhARAAA2AgAgACABIAEoAgAoAhQRAgAgBSgCACIAQQRqQX/+HgIARQRAIAAgACgCACgCCBEBAAsgBkEQaiQACzEAIAItAAAhAgNAAkAgACABRwR/IAAtAAAgAkcNASAABSABCw8LIABBAWohAAwACwAL7gQBAX8jAEEQayIMJAAgDCAAOgAPAkACQCAAIAVGBEAgAS0AAEUNAUEAIQAgAUEAOgAAIAQgBCgCACIBQQFqNgIAIAFBLjoAAAJ/IActAAtBB3YEQCAHKAIEDAELIActAAtB/wBxC0UNAiAJKAIAIgEgCGtBnwFKDQIgCigCACECIAkgAUEEajYCACABIAI2AgAMAgsCQCAAIAZHDQACfyAHLQALQQd2BEAgBygCBAwBCyAHLQALQf8AcQtFDQAgAS0AAEUNAUEAIQAgCSgCACIBIAhrQZ8BSg0CIAooAgAhACAJIAFBBGo2AgAgASAANgIAQQAhACAKQQA2AgAMAgtBfyEAIAsgC0EgaiAMQQ9qELQCIAtrIgZBH0oNASAGQdDqAmosAAAhBQJAAkACQAJAIAZBfnFBFmsOAwECAAILIAMgBCgCACIBRwRAIAFBAWssAAAiA0HfAHEgAyADQeEAa0EaSRsgAiwAACICQd8AcSACIAJB4QBrQRpJG0cNBQsgBCABQQFqNgIAIAEgBToAAEEAIQAMBAsgAkHQADoAAAwBCyAFQd8AcSAFIAVB4QBrQRpJGyIAIAIsAABHDQAgAiAAQSByIAAgAEHBAGtBGkkbOgAAIAEtAABFDQAgAUEAOgAAAn8gBy0AC0EHdgRAIAcoAgQMAQsgBy0AC0H/AHELRQ0AIAkoAgAiACAIa0GfAUoNACAKKAIAIQEgCSAAQQRqNgIAIAAgATYCAAsgBCAEKAIAIgBBAWo2AgAgACAFOgAAQQAhACAGQRVKDQEgCiAKKAIAQQFqNgIADAELQX8hAAsgDEEQaiQAIAALpgEBAn8jAEEQayIGJAAgBkEMaiIFIAEoAhwiATYCACABQQRqQQH+HgIAGiAFEHIiAUHQ6gJB8OoCIAIgASgCACgCIBEIABogAyAFEMEBIgEgASgCACgCDBEAADoAACAEIAEgASgCACgCEBEAADoAACAAIAEgASgCACgCFBECACAFKAIAIgBBBGpBf/4eAgBFBEAgACAAKAIAKAIIEQEACyAGQRBqJAALfwICfwJ+IwBBoAFrIgQkACAEIAE2AjwgBCABNgIUIARBfzYCGCAEQRBqIgVCABCAASAEIAUgA0EBEOoDIAQpAwghBiAEKQMAIQcgAgRAIAIgASAEKAIUIAQoAogBaiAEKAI8a2o2AgALIAAgBjcDCCAAIAc3AwAgBEGgAWokAAvbAQEIfyAAIABBPRCOBCIBRgRAQQAPCwJAIAAgASAAayIFai0AAA0AQYyINSgCACICRQ0AIAIoAgAiAUUNAANAAkACfyAAIQRBACAFIgZFDQAaIAAtAAAiAwR/AkADQCADIAEtAAAiB0cNASAHRQ0BIAZBAWsiBkUNASABQQFqIQEgBC0AASEDIARBAWohBCADDQALQQAhAwsgAwVBAAsgAS0AAGsLRQRAIAIoAgAgBWoiAS0AAEE9Rg0BCyACKAIEIQEgAkEEaiECIAENAQwCCwsgAUEBaiEICyAIC0QBAX8jAEEQayIFJAAgBSABIAIgAyAEQoCAgICAgICAgH+FEHEgBSkDACEBIAAgBSkDCDcDCCAAIAE3AwAgBUEQaiQAC4QBAQJ/IABBqMwCNgIAIAAoAighAQNAIAEEQEEAIAAgAUEBayIBQQJ0IgIgACgCJGooAgAgACgCICACaigCABEFAAwBCwsgACgCHCIBQQRqQX/+HgIARQRAIAEgASgCACgCCBEBAAsgACgCIBAvIAAoAiQQLyAAKAIwEC8gACgCPBAvIAALIAAgACAAKAIYRSABciIBNgIQIAAoAhQgAXEEQBBGAAsLRgAjAEEQayIBJAAgASADNgIMIAQgAiADIAJrIgL8CgAAIAEgAiAEajYCCCAAIAEoAgw2AgAgACABKAIINgIEIAFBEGokAAs2AQF/IwBBEGsiAyQAIAMgATYCDCADIAI2AgggACADKAIMNgIAIAAgAygCCDYCBCADQRBqJAALOwEBfyAAQfDKAigCACIBNgIAIAAgAUEMaygCAGpB/MoCKAIANgIAIABBCGoQ8gEaIABB7ABqEMACIAALDAAgAEEIahDAAiAACwgAIAAQugIaC9IDAgJ+An8jAEEgayIEJAACQCABQv///////////wCDIgNCgICAgICAwIA8fSADQoCAgICAgMD/wwB9VARAIAFCBIYgAEI8iIQhAyAAQv//////////D4MiAEKBgICAgICAgAhaBEAgA0KBgICAgICAgMAAfCECDAILIANCgICAgICAgIBAfSECIABCgICAgICAgIAIUg0BIAIgA0IBg3whAgwBCyAAUCADQoCAgICAgMD//wBUIANCgICAgICAwP//AFEbRQRAIAFCBIYgAEI8iIRC/////////wODQoCAgICAgID8/wCEIQIMAQtCgICAgICAgPj/ACECIANC////////v//DAFYNAEIAIQIgA0IwiKciBUGR9wBJDQAgBEEQaiAAIAFC////////P4NCgICAgICAwACEIgIgBUGB9wBrEGYgBCAAIAJBgfgAIAVrEK8BIAQpAwhCBIYgBCkDACIAQjyIhCECIAQpAxAgBCkDGIRCAFKtIABC//////////8Pg4QiAEKBgICAgICAgAhaBEAgAkIBfCECDAELIABCgICAgICAgIAIUg0AIAJCAYMgAnwhAgsgBEEgaiQAIAIgAUKAgICAgICAgIB/g4S/C4gCAAJAIAAEfyABQf8ATQ0BAkAjAygCYCgCAEUEQCABQYB/cUGAvwNGDQMMAQsgAUH/D00EQCAAIAFBP3FBgAFyOgABIAAgAUEGdkHAAXI6AABBAg8LIAFBgEBxQYDAA0cgAUGAsANPcUUEQCAAIAFBP3FBgAFyOgACIAAgAUEMdkHgAXI6AAAgACABQQZ2QT9xQYABcjoAAUEDDwsgAUGAgARrQf//P00EQCAAIAFBP3FBgAFyOgADIAAgAUESdkHwAXI6AAAgACABQQZ2QT9xQYABcjoAAiAAIAFBDHZBP3FBgAFyOgABQQQPCwsjA0EcakEZNgIAQX8FQQELDwsgACABOgAAQQEL1AIBBH8jAEHQAWsiBSQAIAUgAjYCzAEgBUGgAWoiAkEAQSj8CwAgBSAFKALMATYCyAECQEEAIAEgBUHIAWogBUHQAGogAiADIAQQiQRBAEgEQEF/IQQMAQsgACgCTEEATgRAIAAQggEhBgsgACAAKAIAIghBX3E2AgACfwJAAkAgACgCMEUEQCAAQdAANgIwIABBADYCHCAAQgA3AxAgACgCLCEHIAAgBTYCLAwBCyAAKAIQDQELQX8gABDSAg0BGgsgACABIAVByAFqIAVB0ABqIAVBoAFqIAMgBBCJBAshAiAHBEAgAEEAQQAgACgCJBEDABogAEEANgIwIAAgBzYCLCAAQQA2AhwgACgCFCEBIABCADcDECACQX8gARshAgsgACAAKAIAIgEgCEEgcXI2AgBBfyACIAFBIHEbIQQgBkUNACAAEIEBCyAFQdABaiQAIAQLugQCBH0CfwJAAkACQAJ9AkAgALwiBkH/////B3EiBUHE8NaMBE8EQCAFQYCAgPwHSw0FIAZBAEgEQEMAAIC/DwsgBUGY5MWVBEkNASAAQwAAAH+UDwsgBUGZ5MX1A0kNAiAFQZGrlPwDSw0AIAZBAE4EQEEBIQVD0fcXNyEBIABDgHExv5IMAgtBfyEFQ9H3F7chASAAQ4BxMT+SDAELAn8gAEM7qrg/lEMAAAA/IACYkiIBi0MAAABPXQRAIAGoDAELQYCAgIB4CyIFsiICQ9H3FzeUIQEgACACQ4BxMb+UkgsiACAAIAGTIgCTIAGTIQEMAQsgBUGAgICYA0kNAUEAIQULIAAgAEMAAAA/lCIDlCICIAIgAkMQMM86lENoiAi9kpRDAACAP5IiBEMAAEBAIAQgA5STIgOTQwAAwEAgACADlJOVlCEDIAVFBEAgACAAIAOUIAKTkw8LIAAgAyABk5QgAZMgApMhAQJAAkACQCAFQQFqDgMAAgECCyAAIAGTQwAAAD+UQwAAAL+SDwsgAEMAAIC+XQRAIAEgAEMAAAA/kpNDAAAAwJQPCyAAIAGTIgAgAJJDAACAP5IPCyAFQRd0IgZBgICA/ANqviECIAVBOU8EQCAAIAGTQwAAgD+SIgAgAJJDAAAAf5QgACAClCAFQYABRhtDAACAv5IPC0GAgID8AyAGa74hAyAFQRZNBH1DAACAPyADkyAAIAGTkgUgACABIAOSk0MAAIA/kgsgApQhAAsgAAsqAQJ/IwBBEGsiBCQAIAQgAzYCDCAAIAEgAiADELABIQUgBEEQaiQAIAUL2wEBAX8CQEH8ugMoAgAiAEEATgRAIABFDQEjAygCGCAAQf////97cUcNAQsCQEGAuwMoAgBBCkYNAEHEugMoAgAiAEHAugMoAgBGDQBBxLoDIABBAWo2AgAgAEEKOgAADwsQ0QIPC0EAQQBB/////wP+SAL8ugMEQEGwugMQggEaCwJAAkBBgLsDKAIAQQpGDQBBxLoDKAIAIgBBwLoDKAIARg0AQcS6AyAA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splitPathRe=/^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:(parts,allowAboveRoot)=>{var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last==="."){parts.splice(i,1)}else if(last===".."){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift("..")}}return parts},normalize:path=>{var isAbsolute=PATH.isAbs(path),trailingSlash=path.substr(-1)==="/";path=PATH.normalizeArray(path.split("/").filter(p=>!!p),!isAbsolute).join("/");if(!path&&!isAbsolute){path="."}if(path&&trailingSlash){path+="/"}return(isAbsolute?"/":"")+path},dirname:path=>{var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return"."}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:path=>{if(path==="/")return"/";path=PATH.normalize(path);path=path.replace(/\/$/,"");var lastSlash=path.lastIndexOf("/");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},join:function(){var paths=Array.prototype.slice.call(arguments);return PATH.normalize(paths.join("/"))},join2:(l,r)=>PATH.normalize(l+"/"+r)};var initRandomFill=()=>{if(typeof crypto=="object"&&typeof crypto["getRandomValues"]=="function"){return view=>(view.set(crypto.getRandomValues(new Uint8Array(view.byteLength))),view)}else if(ENVIRONMENT_IS_NODE){try{var crypto_module=require("crypto");var randomFillSync=crypto_module["randomFillSync"];if(randomFillSync){return view=>crypto_module["randomFillSync"](view)}var randomBytes=crypto_module["randomBytes"];return view=>(view.set(randomBytes(view.byteLength)),view)}catch(e){}}abort("initRandomDevice")};var randomFill=view=>(randomFill=initRandomFill())(view);var PATH_FS={resolve:function(){var resolvedPath="",resolvedAbsolute=false;for(var i=arguments.length-1;i>=-1&&!resolvedAbsolute;i--){var path=i>=0?arguments[i]:FS.cwd();if(typeof path!="string"){throw new TypeError("Arguments to path.resolve must be strings")}else if(!path){return""}resolvedPath=path+"/"+resolvedPath;resolvedAbsolute=PATH.isAbs(path)}resolvedPath=PATH.normalizeArray(resolvedPath.split("/").filter(p=>!!p),!resolvedAbsolute).join("/");return(resolvedAbsolute?"/":"")+resolvedPath||"."},relative:(from,to)=>{from=PATH_FS.resolve(from).substr(1);to=PATH_FS.resolve(to).substr(1);function trim(arr){var start=0;for(;start=0;end--){if(arr[end]!=="")break}if(start>end)return[];return arr.slice(start,end-start+1)}var fromParts=trim(from.split("/"));var toParts=trim(to.split("/"));var length=Math.min(fromParts.length,toParts.length);var samePartsLength=length;for(var i=0;i{var endIdx=idx+maxBytesToRead;var endPtr=idx;while(heapOrArray[endPtr]&&!(endPtr>=endIdx))++endPtr;if(endPtr-idx>16&&heapOrArray.buffer&&UTF8Decoder){return UTF8Decoder.decode(heapOrArray.buffer instanceof SharedArrayBuffer?heapOrArray.slice(idx,endPtr):heapOrArray.subarray(idx,endPtr))}var str="";while(idx>10,56320|ch&1023)}}return str};var FS_stdin_getChar_buffer=[];var lengthBytesUTF8=str=>{var len=0;for(var i=0;i=55296&&c<=57343){len+=4;++i}else{len+=3}}return len};var stringToUTF8Array=(str,heap,outIdx,maxBytesToWrite)=>{if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx};function intArrayFromString(stringy,dontAddNull,length){var len=length>0?length:lengthBytesUTF8(stringy)+1;var u8array=new Array(len);var numBytesWritten=stringToUTF8Array(stringy,u8array,0,u8array.length);if(dontAddNull)u8array.length=numBytesWritten;return u8array}var FS_stdin_getChar=()=>{if(!FS_stdin_getChar_buffer.length){var result=null;if(ENVIRONMENT_IS_NODE){var BUFSIZE=256;var buf=Buffer.alloc(BUFSIZE);var bytesRead=0;var fd=process.stdin.fd;try{bytesRead=fs.readSync(fd,buf)}catch(e){if(e.toString().includes("EOF"))bytesRead=0;else throw e}if(bytesRead>0){result=buf.slice(0,bytesRead).toString("utf-8")}else{result=null}}else if(typeof window!="undefined"&&typeof window.prompt=="function"){result=window.prompt("Input: ");if(result!==null){result+="\n"}}else if(typeof readline=="function"){result=readline();if(result!==null){result+="\n"}}if(!result){return null}FS_stdin_getChar_buffer=intArrayFromString(result,true)}return FS_stdin_getChar_buffer.shift()};var TTY={ttys:[],init(){},shutdown(){},register(dev,ops){TTY.ttys[dev]={input:[],output:[],ops:ops};FS.registerDevice(dev,TTY.stream_ops)},stream_ops:{open(stream){var tty=TTY.ttys[stream.node.rdev];if(!tty){throw new FS.ErrnoError(43)}stream.tty=tty;stream.seekable=false},close(stream){stream.tty.ops.fsync(stream.tty)},fsync(stream){stream.tty.ops.fsync(stream.tty)},read(stream,buffer,offset,length,pos){if(!stream.tty||!stream.tty.ops.get_char){throw new FS.ErrnoError(60)}var bytesRead=0;for(var i=0;i0){out(UTF8ArrayToString(tty.output,0));tty.output=[]}},ioctl_tcgets(tty){return{c_iflag:25856,c_oflag:5,c_cflag:191,c_lflag:35387,c_cc:[3,28,127,21,4,0,1,0,17,19,26,0,18,15,23,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}},ioctl_tcsets(tty,optional_actions,data){return 0},ioctl_tiocgwinsz(tty){return[24,80]}},default_tty1_ops:{put_char(tty,val){if(val===null||val===10){err(UTF8ArrayToString(tty.output,0));tty.output=[]}else{if(val!=0)tty.output.push(val)}},fsync(tty){if(tty.output&&tty.output.length>0){err(UTF8ArrayToString(tty.output,0));tty.output=[]}}}};var mmapAlloc=size=>{abort()};var MEMFS={ops_table:null,mount(mount){return MEMFS.createNode(null,"/",16384|511,0)},createNode(parent,name,mode,dev){if(FS.isBlkdev(mode)||FS.isFIFO(mode)){throw new FS.ErrnoError(63)}if(!MEMFS.ops_table){MEMFS.ops_table={dir:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,lookup:MEMFS.node_ops.lookup,mknod:MEMFS.node_ops.mknod,rename:MEMFS.node_ops.rename,unlink:MEMFS.node_ops.unlink,rmdir:MEMFS.node_ops.rmdir,readdir:MEMFS.node_ops.readdir,symlink:MEMFS.node_ops.symlink},stream:{llseek:MEMFS.stream_ops.llseek}},file:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:{llseek:MEMFS.stream_ops.llseek,read:MEMFS.stream_ops.read,write:MEMFS.stream_ops.write,allocate:MEMFS.stream_ops.allocate,mmap:MEMFS.stream_ops.mmap,msync:MEMFS.stream_ops.msync}},link:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,readlink:MEMFS.node_ops.readlink},stream:{}},chrdev:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:FS.chrdev_stream_ops}}}var node=FS.createNode(parent,name,mode,dev);if(FS.isDir(node.mode)){node.node_ops=MEMFS.ops_table.dir.node;node.stream_ops=MEMFS.ops_table.dir.stream;node.contents={}}else if(FS.isFile(node.mode)){node.node_ops=MEMFS.ops_table.file.node;node.stream_ops=MEMFS.ops_table.file.stream;node.usedBytes=0;node.contents=null}else if(FS.isLink(node.mode)){node.node_ops=MEMFS.ops_table.link.node;node.stream_ops=MEMFS.ops_table.link.stream}else if(FS.isChrdev(node.mode)){node.node_ops=MEMFS.ops_table.chrdev.node;node.stream_ops=MEMFS.ops_table.chrdev.stream}node.timestamp=Date.now();if(parent){parent.contents[name]=node;parent.timestamp=node.timestamp}return node},getFileDataAsTypedArray(node){if(!node.contents)return new Uint8Array(0);if(node.contents.subarray)return node.contents.subarray(0,node.usedBytes);return new Uint8Array(node.contents)},expandFileStorage(node,newCapacity){var prevCapacity=node.contents?node.contents.length:0;if(prevCapacity>=newCapacity)return;var CAPACITY_DOUBLING_MAX=1024*1024;newCapacity=Math.max(newCapacity,prevCapacity*(prevCapacity>>0);if(prevCapacity!=0)newCapacity=Math.max(newCapacity,256);var oldContents=node.contents;node.contents=new Uint8Array(newCapacity);if(node.usedBytes>0)node.contents.set(oldContents.subarray(0,node.usedBytes),0)},resizeFileStorage(node,newSize){if(node.usedBytes==newSize)return;if(newSize==0){node.contents=null;node.usedBytes=0}else{var oldContents=node.contents;node.contents=new Uint8Array(newSize);if(oldContents){node.contents.set(oldContents.subarray(0,Math.min(newSize,node.usedBytes)))}node.usedBytes=newSize}},node_ops:{getattr(node){var attr={};attr.dev=FS.isChrdev(node.mode)?node.id:1;attr.ino=node.id;attr.mode=node.mode;attr.nlink=1;attr.uid=0;attr.gid=0;attr.rdev=node.rdev;if(FS.isDir(node.mode)){attr.size=4096}else if(FS.isFile(node.mode)){attr.size=node.usedBytes}else if(FS.isLink(node.mode)){attr.size=node.link.length}else{attr.size=0}attr.atime=new Date(node.timestamp);attr.mtime=new Date(node.timestamp);attr.ctime=new Date(node.timestamp);attr.blksize=4096;attr.blocks=Math.ceil(attr.size/attr.blksize);return attr},setattr(node,attr){if(attr.mode!==undefined){node.mode=attr.mode}if(attr.timestamp!==undefined){node.timestamp=attr.timestamp}if(attr.size!==undefined){MEMFS.resizeFileStorage(node,attr.size)}},lookup(parent,name){throw FS.genericErrors[44]},mknod(parent,name,mode,dev){return MEMFS.createNode(parent,name,mode,dev)},rename(old_node,new_dir,new_name){if(FS.isDir(old_node.mode)){var new_node;try{new_node=FS.lookupNode(new_dir,new_name)}catch(e){}if(new_node){for(var i in new_node.contents){throw new FS.ErrnoError(55)}}}delete old_node.parent.contents[old_node.name];old_node.parent.timestamp=Date.now();old_node.name=new_name;new_dir.contents[new_name]=old_node;new_dir.timestamp=old_node.parent.timestamp;old_node.parent=new_dir},unlink(parent,name){delete parent.contents[name];parent.timestamp=Date.now()},rmdir(parent,name){var node=FS.lookupNode(parent,name);for(var i in node.contents){throw new FS.ErrnoError(55)}delete parent.contents[name];parent.timestamp=Date.now()},readdir(node){var entries=[".",".."];for(var key in node.contents){if(!node.contents.hasOwnProperty(key)){continue}entries.push(key)}return entries},symlink(parent,newname,oldpath){var node=MEMFS.createNode(parent,newname,511|40960,0);node.link=oldpath;return node},readlink(node){if(!FS.isLink(node.mode)){throw new FS.ErrnoError(28)}return node.link}},stream_ops:{read(stream,buffer,offset,length,position){var contents=stream.node.contents;if(position>=stream.node.usedBytes)return 0;var size=Math.min(stream.node.usedBytes-position,length);if(size>8&&contents.subarray){buffer.set(contents.subarray(position,position+size),offset)}else{for(var i=0;i0||position+length{var dep=!noRunDep?getUniqueRunDependency(`al ${url}`):"";readAsync(url,arrayBuffer=>{assert(arrayBuffer,`Loading data file "${url}" failed (no arrayBuffer).`);onload(new Uint8Array(arrayBuffer));if(dep)removeRunDependency(dep)},event=>{if(onerror){onerror()}else{throw`Loading data file "${url}" failed.`}});if(dep)addRunDependency(dep)};var preloadPlugins=Module["preloadPlugins"]||[];var FS_handledByPreloadPlugin=(byteArray,fullname,finish,onerror)=>{if(typeof Browser!="undefined")Browser.init();var handled=false;preloadPlugins.forEach(plugin=>{if(handled)return;if(plugin["canHandle"](fullname)){plugin["handle"](byteArray,fullname,finish,onerror);handled=true}});return handled};var FS_createPreloadedFile=(parent,name,url,canRead,canWrite,onload,onerror,dontCreateFile,canOwn,preFinish)=>{var fullname=name?PATH_FS.resolve(PATH.join2(parent,name)):parent;var dep=getUniqueRunDependency(`cp ${fullname}`);function processData(byteArray){function finish(byteArray){if(preFinish)preFinish();if(!dontCreateFile){FS.createDataFile(parent,name,byteArray,canRead,canWrite,canOwn)}if(onload)onload();removeRunDependency(dep)}if(FS_handledByPreloadPlugin(byteArray,fullname,finish,()=>{if(onerror)onerror();removeRunDependency(dep)})){return}finish(byteArray)}addRunDependency(dep);if(typeof url=="string"){asyncLoad(url,byteArray=>processData(byteArray),onerror)}else{processData(url)}};var FS_modeStringToFlags=str=>{var flagModes={"r":0,"r+":2,"w":512|64|1,"w+":512|64|2,"a":1024|64|1,"a+":1024|64|2};var flags=flagModes[str];if(typeof flags=="undefined"){throw new Error(`Unknown file open mode: ${str}`)}return flags};var FS_getMode=(canRead,canWrite)=>{var mode=0;if(canRead)mode|=292|73;if(canWrite)mode|=146;return mode};var FS={root:null,mounts:[],devices:{},streams:[],nextInode:1,nameTable:null,currentPath:"/",initialized:false,ignorePermissions:true,ErrnoError:null,genericErrors:{},filesystems:null,syncFSRequests:0,lookupPath(path,opts={}){path=PATH_FS.resolve(path);if(!path)return{path:"",node:null};var defaults={follow_mount:true,recurse_count:0};opts=Object.assign(defaults,opts);if(opts.recurse_count>8){throw new FS.ErrnoError(32)}var parts=path.split("/").filter(p=>!!p);var current=FS.root;var current_path="/";for(var i=0;i40){throw new FS.ErrnoError(32)}}}}return{path:current_path,node:current}},getPath(node){var path;while(true){if(FS.isRoot(node)){var mount=node.mount.mountpoint;if(!path)return mount;return mount[mount.length-1]!=="/"?`${mount}/${path}`:mount+path}path=path?`${node.name}/${path}`:node.name;node=node.parent}},hashName(parentid,name){var hash=0;for(var i=0;i>>0)%FS.nameTable.length},hashAddNode(node){var hash=FS.hashName(node.parent.id,node.name);node.name_next=FS.nameTable[hash];FS.nameTable[hash]=node},hashRemoveNode(node){var hash=FS.hashName(node.parent.id,node.name);if(FS.nameTable[hash]===node){FS.nameTable[hash]=node.name_next}else{var current=FS.nameTable[hash];while(current){if(current.name_next===node){current.name_next=node.name_next;break}current=current.name_next}}},lookupNode(parent,name){var errCode=FS.mayLookup(parent);if(errCode){throw new FS.ErrnoError(errCode,parent)}var hash=FS.hashName(parent.id,name);for(var node=FS.nameTable[hash];node;node=node.name_next){var nodeName=node.name;if(node.parent.id===parent.id&&nodeName===name){return node}}return FS.lookup(parent,name)},createNode(parent,name,mode,rdev){var node=new FS.FSNode(parent,name,mode,rdev);FS.hashAddNode(node);return node},destroyNode(node){FS.hashRemoveNode(node)},isRoot(node){return node===node.parent},isMountpoint(node){return!!node.mounted},isFile(mode){return(mode&61440)===32768},isDir(mode){return(mode&61440)===16384},isLink(mode){return(mode&61440)===40960},isChrdev(mode){return(mode&61440)===8192},isBlkdev(mode){return(mode&61440)===24576},isFIFO(mode){return(mode&61440)===4096},isSocket(mode){return(mode&49152)===49152},flagsToPermissionString(flag){var perms=["r","w","rw"][flag&3];if(flag&512){perms+="w"}return perms},nodePermissions(node,perms){if(FS.ignorePermissions){return 0}if(perms.includes("r")&&!(node.mode&292)){return 2}else if(perms.includes("w")&&!(node.mode&146)){return 2}else if(perms.includes("x")&&!(node.mode&73)){return 2}return 0},mayLookup(dir){var errCode=FS.nodePermissions(dir,"x");if(errCode)return errCode;if(!dir.node_ops.lookup)return 2;return 0},mayCreate(dir,name){try{var node=FS.lookupNode(dir,name);return 20}catch(e){}return FS.nodePermissions(dir,"wx")},mayDelete(dir,name,isdir){var node;try{node=FS.lookupNode(dir,name)}catch(e){return e.errno}var errCode=FS.nodePermissions(dir,"wx");if(errCode){return errCode}if(isdir){if(!FS.isDir(node.mode)){return 54}if(FS.isRoot(node)||FS.getPath(node)===FS.cwd()){return 10}}else{if(FS.isDir(node.mode)){return 31}}return 0},mayOpen(node,flags){if(!node){return 44}if(FS.isLink(node.mode)){return 32}else if(FS.isDir(node.mode)){if(FS.flagsToPermissionString(flags)!=="r"||flags&512){return 31}}return FS.nodePermissions(node,FS.flagsToPermissionString(flags))},MAX_OPEN_FDS:4096,nextfd(){for(var fd=0;fd<=FS.MAX_OPEN_FDS;fd++){if(!FS.streams[fd]){return fd}}throw new FS.ErrnoError(33)},getStreamChecked(fd){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(8)}return stream},getStream:fd=>FS.streams[fd],createStream(stream,fd=-1){if(!FS.FSStream){FS.FSStream=function(){this.shared={}};FS.FSStream.prototype={};Object.defineProperties(FS.FSStream.prototype,{object:{get(){return this.node},set(val){this.node=val}},isRead:{get(){return(this.flags&2097155)!==1}},isWrite:{get(){return(this.flags&2097155)!==0}},isAppend:{get(){return this.flags&1024}},flags:{get(){return this.shared.flags},set(val){this.shared.flags=val}},position:{get(){return this.shared.position},set(val){this.shared.position=val}}})}stream=Object.assign(new FS.FSStream,stream);if(fd==-1){fd=FS.nextfd()}stream.fd=fd;FS.streams[fd]=stream;return stream},closeStream(fd){FS.streams[fd]=null},chrdev_stream_ops:{open(stream){var device=FS.getDevice(stream.node.rdev);stream.stream_ops=device.stream_ops;if(stream.stream_ops.open){stream.stream_ops.open(stream)}},llseek(){throw new FS.ErrnoError(70)}},major:dev=>dev>>8,minor:dev=>dev&255,makedev:(ma,mi)=>ma<<8|mi,registerDevice(dev,ops){FS.devices[dev]={stream_ops:ops}},getDevice:dev=>FS.devices[dev],getMounts(mount){var mounts=[];var check=[mount];while(check.length){var m=check.pop();mounts.push(m);check.push.apply(check,m.mounts)}return mounts},syncfs(populate,callback){if(typeof populate=="function"){callback=populate;populate=false}FS.syncFSRequests++;if(FS.syncFSRequests>1){err(`warning: ${FS.syncFSRequests} FS.syncfs operations in flight at once, probably just doing extra work`)}var mounts=FS.getMounts(FS.root.mount);var completed=0;function doCallback(errCode){FS.syncFSRequests--;return callback(errCode)}function done(errCode){if(errCode){if(!done.errored){done.errored=true;return doCallback(errCode)}return}if(++completed>=mounts.length){doCallback(null)}}mounts.forEach(mount=>{if(!mount.type.syncfs){return done(null)}mount.type.syncfs(mount,populate,done)})},mount(type,opts,mountpoint){var root=mountpoint==="/";var pseudo=!mountpoint;var node;if(root&&FS.root){throw new FS.ErrnoError(10)}else if(!root&&!pseudo){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});mountpoint=lookup.path;node=lookup.node;if(FS.isMountpoint(node)){throw new FS.ErrnoError(10)}if(!FS.isDir(node.mode)){throw new FS.ErrnoError(54)}}var mount={type:type,opts:opts,mountpoint:mountpoint,mounts:[]};var mountRoot=type.mount(mount);mountRoot.mount=mount;mount.root=mountRoot;if(root){FS.root=mountRoot}else if(node){node.mounted=mount;if(node.mount){node.mount.mounts.push(mount)}}return mountRoot},unmount(mountpoint){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});if(!FS.isMountpoint(lookup.node)){throw new FS.ErrnoError(28)}var node=lookup.node;var mount=node.mounted;var mounts=FS.getMounts(mount);Object.keys(FS.nameTable).forEach(hash=>{var current=FS.nameTable[hash];while(current){var next=current.name_next;if(mounts.includes(current.mount)){FS.destroyNode(current)}current=next}});node.mounted=null;var idx=node.mount.mounts.indexOf(mount);node.mount.mounts.splice(idx,1)},lookup(parent,name){return parent.node_ops.lookup(parent,name)},mknod(path,mode,dev){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);if(!name||name==="."||name===".."){throw new FS.ErrnoError(28)}var errCode=FS.mayCreate(parent,name);if(errCode){throw new FS.ErrnoError(errCode)}if(!parent.node_ops.mknod){throw new FS.ErrnoError(63)}return parent.node_ops.mknod(parent,name,mode,dev)},create(path,mode){mode=mode!==undefined?mode:438;mode&=4095;mode|=32768;return FS.mknod(path,mode,0)},mkdir(path,mode){mode=mode!==undefined?mode:511;mode&=511|512;mode|=16384;return FS.mknod(path,mode,0)},mkdirTree(path,mode){var dirs=path.split("/");var d="";for(var i=0;i0,ioctl(stream,cmd,arg){if(!stream.stream_ops.ioctl){throw new FS.ErrnoError(59)}return stream.stream_ops.ioctl(stream,cmd,arg)},readFile(path,opts={}){opts.flags=opts.flags||0;opts.encoding=opts.encoding||"binary";if(opts.encoding!=="utf8"&&opts.encoding!=="binary"){throw new Error(`Invalid encoding type "${opts.encoding}"`)}var ret;var stream=FS.open(path,opts.flags);var stat=FS.stat(path);var length=stat.size;var buf=new Uint8Array(length);FS.read(stream,buf,0,length,0);if(opts.encoding==="utf8"){ret=UTF8ArrayToString(buf,0)}else if(opts.encoding==="binary"){ret=buf}FS.close(stream);return ret},writeFile(path,data,opts={}){opts.flags=opts.flags||577;var stream=FS.open(path,opts.flags,opts.mode);if(typeof data=="string"){var buf=new Uint8Array(lengthBytesUTF8(data)+1);var actualNumBytes=stringToUTF8Array(data,buf,0,buf.length);FS.write(stream,buf,0,actualNumBytes,undefined,opts.canOwn)}else if(ArrayBuffer.isView(data)){FS.write(stream,data,0,data.byteLength,undefined,opts.canOwn)}else{throw new Error("Unsupported data type")}FS.close(stream)},cwd:()=>FS.currentPath,chdir(path){var lookup=FS.lookupPath(path,{follow:true});if(lookup.node===null){throw new FS.ErrnoError(44)}if(!FS.isDir(lookup.node.mode)){throw new FS.ErrnoError(54)}var errCode=FS.nodePermissions(lookup.node,"x");if(errCode){throw new FS.ErrnoError(errCode)}FS.currentPath=lookup.path},createDefaultDirectories(){FS.mkdir("/tmp");FS.mkdir("/home");FS.mkdir("/home/web_user")},createDefaultDevices(){FS.mkdir("/dev");FS.registerDevice(FS.makedev(1,3),{read:()=>0,write:(stream,buffer,offset,length,pos)=>length});FS.mkdev("/dev/null",FS.makedev(1,3));TTY.register(FS.makedev(5,0),TTY.default_tty_ops);TTY.register(FS.makedev(6,0),TTY.default_tty1_ops);FS.mkdev("/dev/tty",FS.makedev(5,0));FS.mkdev("/dev/tty1",FS.makedev(6,0));var randomBuffer=new Uint8Array(1024),randomLeft=0;var randomByte=()=>{if(randomLeft===0){randomLeft=randomFill(randomBuffer).byteLength}return randomBuffer[--randomLeft]};FS.createDevice("/dev","random",randomByte);FS.createDevice("/dev","urandom",randomByte);FS.mkdir("/dev/shm");FS.mkdir("/dev/shm/tmp")},createSpecialDirectories(){FS.mkdir("/proc");var proc_self=FS.mkdir("/proc/self");FS.mkdir("/proc/self/fd");FS.mount({mount(){var node=FS.createNode(proc_self,"fd",16384|511,73);node.node_ops={lookup(parent,name){var fd=+name;var stream=FS.getStreamChecked(fd);var ret={parent:null,mount:{mountpoint:"fake"},node_ops:{readlink:()=>stream.path}};ret.parent=ret;return ret}};return node}},{},"/proc/self/fd")},createStandardStreams(){if(Module["stdin"]){FS.createDevice("/dev","stdin",Module["stdin"])}else{FS.symlink("/dev/tty","/dev/stdin")}if(Module["stdout"]){FS.createDevice("/dev","stdout",null,Module["stdout"])}else{FS.symlink("/dev/tty","/dev/stdout")}if(Module["stderr"]){FS.createDevice("/dev","stderr",null,Module["stderr"])}else{FS.symlink("/dev/tty1","/dev/stderr")}var stdin=FS.open("/dev/stdin",0);var stdout=FS.open("/dev/stdout",1);var stderr=FS.open("/dev/stderr",1)},ensureErrnoError(){if(FS.ErrnoError)return;FS.ErrnoError=function ErrnoError(errno,node){this.name="ErrnoError";this.node=node;this.setErrno=function(errno){this.errno=errno};this.setErrno(errno);this.message="FS error"};FS.ErrnoError.prototype=new Error;FS.ErrnoError.prototype.constructor=FS.ErrnoError;[44].forEach(code=>{FS.genericErrors[code]=new FS.ErrnoError(code);FS.genericErrors[code].stack=""})},staticInit(){FS.ensureErrnoError();FS.nameTable=new Array(4096);FS.mount(MEMFS,{},"/");FS.createDefaultDirectories();FS.createDefaultDevices();FS.createSpecialDirectories();FS.filesystems={"MEMFS":MEMFS}},init(input,output,error){FS.init.initialized=true;FS.ensureErrnoError();Module["stdin"]=input||Module["stdin"];Module["stdout"]=output||Module["stdout"];Module["stderr"]=error||Module["stderr"];FS.createStandardStreams()},quit(){FS.init.initialized=false;for(var i=0;ithis.length-1||idx<0){return undefined}var chunkOffset=idx%this.chunkSize;var chunkNum=idx/this.chunkSize|0;return this.getter(chunkNum)[chunkOffset]};LazyUint8Array.prototype.setDataGetter=function LazyUint8Array_setDataGetter(getter){this.getter=getter};LazyUint8Array.prototype.cacheLength=function LazyUint8Array_cacheLength(){var xhr=new XMLHttpRequest;xhr.open("HEAD",url,false);xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error("Couldn't load "+url+". Status: "+xhr.status);var datalength=Number(xhr.getResponseHeader("Content-length"));var header;var hasByteServing=(header=xhr.getResponseHeader("Accept-Ranges"))&&header==="bytes";var usesGzip=(header=xhr.getResponseHeader("Content-Encoding"))&&header==="gzip";var chunkSize=1024*1024;if(!hasByteServing)chunkSize=datalength;var doXHR=(from,to)=>{if(from>to)throw new Error("invalid range ("+from+", "+to+") or no bytes requested!");if(to>datalength-1)throw new Error("only "+datalength+" bytes available! programmer error!");var xhr=new XMLHttpRequest;xhr.open("GET",url,false);if(datalength!==chunkSize)xhr.setRequestHeader("Range","bytes="+from+"-"+to);xhr.responseType="arraybuffer";if(xhr.overrideMimeType){xhr.overrideMimeType("text/plain; charset=x-user-defined")}xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error("Couldn't load "+url+". Status: "+xhr.status);if(xhr.response!==undefined){return new Uint8Array(xhr.response||[])}return intArrayFromString(xhr.responseText||"",true)};var lazyArray=this;lazyArray.setDataGetter(chunkNum=>{var start=chunkNum*chunkSize;var end=(chunkNum+1)*chunkSize-1;end=Math.min(end,datalength-1);if(typeof lazyArray.chunks[chunkNum]=="undefined"){lazyArray.chunks[chunkNum]=doXHR(start,end)}if(typeof lazyArray.chunks[chunkNum]=="undefined")throw new Error("doXHR failed!");return lazyArray.chunks[chunkNum]});if(usesGzip||!datalength){chunkSize=datalength=1;datalength=this.getter(0).length;chunkSize=datalength;out("LazyFiles on gzip forces download of the whole file when length is accessed")}this._length=datalength;this._chunkSize=chunkSize;this.lengthKnown=true};if(typeof XMLHttpRequest!="undefined"){if(!ENVIRONMENT_IS_WORKER)throw"Cannot do synchronous binary XHRs outside webworkers in modern browsers. Use --embed-file or --preload-file in emcc";var lazyArray=new LazyUint8Array;Object.defineProperties(lazyArray,{length:{get:function(){if(!this.lengthKnown){this.cacheLength()}return this._length}},chunkSize:{get:function(){if(!this.lengthKnown){this.cacheLength()}return this._chunkSize}}});var properties={isDevice:false,contents:lazyArray}}else{var properties={isDevice:false,url:url}}var node=FS.createFile(parent,name,properties,canRead,canWrite);if(properties.contents){node.contents=properties.contents}else if(properties.url){node.contents=null;node.url=properties.url}Object.defineProperties(node,{usedBytes:{get:function(){return this.contents.length}}});var stream_ops={};var keys=Object.keys(node.stream_ops);keys.forEach(key=>{var fn=node.stream_ops[key];stream_ops[key]=function forceLoadLazyFile(){FS.forceLoadFile(node);return fn.apply(null,arguments)}});function writeChunks(stream,buffer,offset,length,position){var contents=stream.node.contents;if(position>=contents.length)return 0;var size=Math.min(contents.length-position,length);if(contents.slice){for(var i=0;i{FS.forceLoadFile(node);return writeChunks(stream,buffer,offset,length,position)};stream_ops.mmap=(stream,length,position,prot,flags)=>{FS.forceLoadFile(node);var ptr=mmapAlloc(length);if(!ptr){throw new FS.ErrnoError(48)}writeChunks(stream,GROWABLE_HEAP_I8(),ptr,length,position);return{ptr:ptr,allocated:true}};node.stream_ops=stream_ops;return node}};var UTF8ToString=(ptr,maxBytesToRead)=>ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):"";var SYSCALLS={DEFAULT_POLLMASK:5,calculateAt(dirfd,path,allowEmpty){if(PATH.isAbs(path)){return path}var dir;if(dirfd===-100){dir=FS.cwd()}else{var dirstream=SYSCALLS.getStreamFromFD(dirfd);dir=dirstream.path}if(path.length==0){if(!allowEmpty){throw new FS.ErrnoError(44)}return dir}return PATH.join2(dir,path)},doStat(func,path,buf){try{var stat=func(path)}catch(e){if(e&&e.node&&PATH.normalize(path)!==PATH.normalize(FS.getPath(e.node))){return-54}throw e}GROWABLE_HEAP_I32()[buf>>2]=stat.dev;GROWABLE_HEAP_I32()[buf+4>>2]=stat.mode;GROWABLE_HEAP_U32()[buf+8>>2]=stat.nlink;GROWABLE_HEAP_I32()[buf+12>>2]=stat.uid;GROWABLE_HEAP_I32()[buf+16>>2]=stat.gid;GROWABLE_HEAP_I32()[buf+20>>2]=stat.rdev;tempI64=[stat.size>>>0,(tempDouble=stat.size,+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+24>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+28>>2]=tempI64[1];GROWABLE_HEAP_I32()[buf+32>>2]=4096;GROWABLE_HEAP_I32()[buf+36>>2]=stat.blocks;var atime=stat.atime.getTime();var mtime=stat.mtime.getTime();var ctime=stat.ctime.getTime();tempI64=[Math.floor(atime/1e3)>>>0,(tempDouble=Math.floor(atime/1e3),+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+40>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+44>>2]=tempI64[1];GROWABLE_HEAP_U32()[buf+48>>2]=atime%1e3*1e3;tempI64=[Math.floor(mtime/1e3)>>>0,(tempDouble=Math.floor(mtime/1e3),+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+56>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+60>>2]=tempI64[1];GROWABLE_HEAP_U32()[buf+64>>2]=mtime%1e3*1e3;tempI64=[Math.floor(ctime/1e3)>>>0,(tempDouble=Math.floor(ctime/1e3),+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+72>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+76>>2]=tempI64[1];GROWABLE_HEAP_U32()[buf+80>>2]=ctime%1e3*1e3;tempI64=[stat.ino>>>0,(tempDouble=stat.ino,+Math.abs(tempDouble)>=1?tempDouble>0?+Math.floor(tempDouble/4294967296)>>>0:~~+Math.ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],GROWABLE_HEAP_I32()[buf+88>>2]=tempI64[0],GROWABLE_HEAP_I32()[buf+92>>2]=tempI64[1];return 0},doMsync(addr,stream,len,flags,offset){if(!FS.isFile(stream.node.mode)){throw new FS.ErrnoError(43)}if(flags&2){return 0}var buffer=GROWABLE_HEAP_U8().slice(addr,addr+len);FS.msync(stream,buffer,offset,len,flags)},varargs:undefined,get(){var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs>>2];SYSCALLS.varargs+=4;return ret},getp(){return SYSCALLS.get()},getStr(ptr){var ret=UTF8ToString(ptr);return ret},getStreamFromFD(fd){var stream=FS.getStreamChecked(fd);return stream}};function _proc_exit(code){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(0,1,code);EXITSTATUS=code;if(!keepRuntimeAlive()){PThread.terminateAllThreads();if(Module["onExit"])Module["onExit"](code);ABORT=true}quit_(code,new ExitStatus(code))}var exitJS=(status,implicit)=>{EXITSTATUS=status;if(ENVIRONMENT_IS_PTHREAD){exitOnMainThread(status);throw"unwind"}_proc_exit(status)};var _exit=exitJS;var handleException=e=>{if(e instanceof ExitStatus||e=="unwind"){return EXITSTATUS}quit_(1,e)};var PThread={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init(){if(ENVIRONMENT_IS_PTHREAD){PThread.initWorker()}else{PThread.initMainThread()}},initMainThread(){var pthreadPoolSize=8;while(pthreadPoolSize--){PThread.allocateUnusedWorker()}addOnPreRun(()=>{addRunDependency("loading-workers");PThread.loadWasmModuleToAllWorkers(()=>removeRunDependency("loading-workers"))})},initWorker(){noExitRuntime=false},setExitStatus:status=>{EXITSTATUS=status},terminateAllThreads__deps:["$terminateWorker"],terminateAllThreads:()=>{for(var worker of PThread.runningWorkers){terminateWorker(worker)}for(var worker of PThread.unusedWorkers){terminateWorker(worker)}PThread.unusedWorkers=[];PThread.runningWorkers=[];PThread.pthreads=[]},returnWorkerToPool:worker=>{var pthread_ptr=worker.pthread_ptr;delete PThread.pthreads[pthread_ptr];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);worker.pthread_ptr=0;__emscripten_thread_free_data(pthread_ptr)},receiveObjectTransfer(data){},threadInitTLS(){PThread.tlsInitFunctions.forEach(f=>f())},loadWasmModuleToWorker:worker=>new Promise(onFinishedLoading=>{worker.onmessage=e=>{var d=e["data"];var cmd=d["cmd"];if(d["targetThread"]&&d["targetThread"]!=_pthread_self()){var targetWorker=PThread.pthreads[d["targetThread"]];if(targetWorker){targetWorker.postMessage(d,d["transferList"])}else{err(`Internal error! Worker sent a message "${cmd}" to target pthread ${d["targetThread"]}, but that thread no longer exists!`)}return}if(cmd==="checkMailbox"){checkMailbox()}else if(cmd==="spawnThread"){spawnThread(d)}else if(cmd==="cleanupThread"){cleanupThread(d["thread"])}else if(cmd==="killThread"){killThread(d["thread"])}else if(cmd==="cancelThread"){cancelThread(d["thread"])}else if(cmd==="loaded"){worker.loaded=true;if(ENVIRONMENT_IS_NODE&&!worker.pthread_ptr){worker.unref()}onFinishedLoading(worker)}else if(cmd==="alert"){alert(`Thread ${d["threadId"]}: ${d["text"]}`)}else if(d.target==="setimmediate"){worker.postMessage(d)}else if(cmd==="callHandler"){Module[d["handler"]](...d["args"])}else if(cmd){err(`worker sent an unknown command ${cmd}`)}};worker.onerror=e=>{var message="worker sent an error!";err(`${message} ${e.filename}:${e.lineno}: ${e.message}`);throw e};if(ENVIRONMENT_IS_NODE){worker.on("message",data=>worker.onmessage({data:data}));worker.on("error",e=>worker.onerror(e))}var handlers=[];var knownHandlers=["onExit","onAbort","print","printErr"];for(var handler of knownHandlers){if(Module.hasOwnProperty(handler)){handlers.push(handler)}}worker.postMessage({"cmd":"load","handlers":handlers,"urlOrBlob":Module["mainScriptUrlOrBlob"]||_scriptDir,"wasmMemory":wasmMemory,"wasmModule":wasmModule})}),loadWasmModuleToAllWorkers(onMaybeReady){if(ENVIRONMENT_IS_PTHREAD){return onMaybeReady()}let pthreadPoolReady=Promise.all(PThread.unusedWorkers.map(PThread.loadWasmModuleToWorker));pthreadPoolReady.then(onMaybeReady)},allocateUnusedWorker(){var worker;var pthreadMainJs=locateFile("libwhisper.worker.js");worker=new Worker(pthreadMainJs);PThread.unusedWorkers.push(worker)},getNewWorker(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}return PThread.unusedWorkers.pop()}};Module["PThread"]=PThread;var callRuntimeCallbacks=callbacks=>{while(callbacks.length>0){callbacks.shift()(Module)}};var establishStackSpace=()=>{var pthread_ptr=_pthread_self();var stackHigh=GROWABLE_HEAP_I32()[pthread_ptr+52>>2];var stackSize=GROWABLE_HEAP_I32()[pthread_ptr+56>>2];var stackLow=stackHigh-stackSize;_emscripten_stack_set_limits(stackHigh,stackLow);stackRestore(stackHigh)};Module["establishStackSpace"]=establishStackSpace;function exitOnMainThread(returnCode){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(1,0,returnCode);_exit(returnCode)}var wasmTableMirror=[];var getWasmTableEntry=funcPtr=>{var func=wasmTableMirror[funcPtr];if(!func){if(funcPtr>=wasmTableMirror.length)wasmTableMirror.length=funcPtr+1;wasmTableMirror[funcPtr]=func=wasmTable.get(funcPtr)}return func};var invokeEntryPoint=(ptr,arg)=>{var result=getWasmTableEntry(ptr)(arg);function finish(result){if(keepRuntimeAlive()){PThread.setExitStatus(result)}else{__emscripten_thread_exit(result)}}finish(result)};Module["invokeEntryPoint"]=invokeEntryPoint;var registerTLSInit=tlsInitFunc=>{PThread.tlsInitFunctions.push(tlsInitFunc)};function ExceptionInfo(excPtr){this.excPtr=excPtr;this.ptr=excPtr-24;this.set_type=function(type){GROWABLE_HEAP_U32()[this.ptr+4>>2]=type};this.get_type=function(){return GROWABLE_HEAP_U32()[this.ptr+4>>2]};this.set_destructor=function(destructor){GROWABLE_HEAP_U32()[this.ptr+8>>2]=destructor};this.get_destructor=function(){return GROWABLE_HEAP_U32()[this.ptr+8>>2]};this.set_caught=function(caught){caught=caught?1:0;GROWABLE_HEAP_I8()[this.ptr+12>>0]=caught};this.get_caught=function(){return GROWABLE_HEAP_I8()[this.ptr+12>>0]!=0};this.set_rethrown=function(rethrown){rethrown=rethrown?1:0;GROWABLE_HEAP_I8()[this.ptr+13>>0]=rethrown};this.get_rethrown=function(){return GROWABLE_HEAP_I8()[this.ptr+13>>0]!=0};this.init=function(type,destructor){this.set_adjusted_ptr(0);this.set_type(type);this.set_destructor(destructor)};this.set_adjusted_ptr=function(adjustedPtr){GROWABLE_HEAP_U32()[this.ptr+16>>2]=adjustedPtr};this.get_adjusted_ptr=function(){return GROWABLE_HEAP_U32()[this.ptr+16>>2]};this.get_exception_ptr=function(){var isPointer=___cxa_is_pointer_type(this.get_type());if(isPointer){return GROWABLE_HEAP_U32()[this.excPtr>>2]}var adjusted=this.get_adjusted_ptr();if(adjusted!==0)return adjusted;return this.excPtr}}var exceptionLast=0;var uncaughtExceptionCount=0;var ___cxa_throw=(ptr,type,destructor)=>{var info=new ExceptionInfo(ptr);info.init(type,destructor);exceptionLast=ptr;uncaughtExceptionCount++;throw exceptionLast};var ___emscripten_init_main_thread_js=tb=>{__emscripten_thread_init(tb,!ENVIRONMENT_IS_WORKER,1,!ENVIRONMENT_IS_WEB,65536,false);PThread.threadInitTLS()};var ___emscripten_thread_cleanup=thread=>{if(!ENVIRONMENT_IS_PTHREAD)cleanupThread(thread);else postMessage({"cmd":"cleanupThread","thread":thread})};function pthreadCreateProxied(pthread_ptr,attr,startRoutine,arg){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(2,1,pthread_ptr,attr,startRoutine,arg);return ___pthread_create_js(pthread_ptr,attr,startRoutine,arg)}var ___pthread_create_js=(pthread_ptr,attr,startRoutine,arg)=>{if(typeof SharedArrayBuffer=="undefined"){err("Current environment does not support SharedArrayBuffer, pthreads are not available!");return 6}var transferList=[];var error=0;if(ENVIRONMENT_IS_PTHREAD&&(transferList.length===0||error)){return pthreadCreateProxied(pthread_ptr,attr,startRoutine,arg)}if(error)return error;var threadParams={startRoutine:startRoutine,pthread_ptr:pthread_ptr,arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd="spawnThread";postMessage(threadParams,transferList);return 0}return spawnThread(threadParams)};var setErrNo=value=>{GROWABLE_HEAP_I32()[___errno_location()>>2]=value;return value};function ___syscall_fcntl64(fd,cmd,varargs){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(3,1,fd,cmd,varargs);SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(fd);switch(cmd){case 0:{var arg=SYSCALLS.get();if(arg<0){return-28}while(FS.streams[arg]){arg++}var newStream;newStream=FS.createStream(stream,arg);return newStream.fd}case 1:case 2:return 0;case 3:return stream.flags;case 4:{var arg=SYSCALLS.get();stream.flags|=arg;return 0}case 5:{var arg=SYSCALLS.getp();var offset=0;GROWABLE_HEAP_I16()[arg+offset>>1]=2;return 0}case 6:case 7:return 0;case 16:case 8:return-28;case 9:setErrNo(28);return-1;default:{return-28}}}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return-e.errno}}function ___syscall_ioctl(fd,op,varargs){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(4,1,fd,op,varargs);SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(fd);switch(op){case 21509:{if(!stream.tty)return-59;return 0}case 21505:{if(!stream.tty)return-59;if(stream.tty.ops.ioctl_tcgets){var termios=stream.tty.ops.ioctl_tcgets(stream);var argp=SYSCALLS.getp();GROWABLE_HEAP_I32()[argp>>2]=termios.c_iflag||0;GROWABLE_HEAP_I32()[argp+4>>2]=termios.c_oflag||0;GROWABLE_HEAP_I32()[argp+8>>2]=termios.c_cflag||0;GROWABLE_HEAP_I32()[argp+12>>2]=termios.c_lflag||0;for(var i=0;i<32;i++){GROWABLE_HEAP_I8()[argp+i+17>>0]=termios.c_cc[i]||0}return 0}return 0}case 21510:case 21511:case 21512:{if(!stream.tty)return-59;return 0}case 21506:case 21507:case 21508:{if(!stream.tty)return-59;if(stream.tty.ops.ioctl_tcsets){var argp=SYSCALLS.getp();var c_iflag=GROWABLE_HEAP_I32()[argp>>2];var c_oflag=GROWABLE_HEAP_I32()[argp+4>>2];var c_cflag=GROWABLE_HEAP_I32()[argp+8>>2];var c_lflag=GROWABLE_HEAP_I32()[argp+12>>2];var c_cc=[];for(var i=0;i<32;i++){c_cc.push(GROWABLE_HEAP_I8()[argp+i+17>>0])}return stream.tty.ops.ioctl_tcsets(stream.tty,op,{c_iflag:c_iflag,c_oflag:c_oflag,c_cflag:c_cflag,c_lflag:c_lflag,c_cc:c_cc})}return 0}case 21519:{if(!stream.tty)return-59;var argp=SYSCALLS.getp();GROWABLE_HEAP_I32()[argp>>2]=0;return 0}case 21520:{if(!stream.tty)return-59;return-28}case 21531:{var argp=SYSCALLS.getp();return FS.ioctl(stream,op,argp)}case 21523:{if(!stream.tty)return-59;if(stream.tty.ops.ioctl_tiocgwinsz){var winsize=stream.tty.ops.ioctl_tiocgwinsz(stream.tty);var argp=SYSCALLS.getp();GROWABLE_HEAP_I16()[argp>>1]=winsize[0];GROWABLE_HEAP_I16()[argp+2>>1]=winsize[1]}return 0}case 21524:{if(!stream.tty)return-59;return 0}case 21515:{if(!stream.tty)return-59;return 0}default:return-28}}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return-e.errno}}function ___syscall_openat(dirfd,path,flags,varargs){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(5,1,dirfd,path,flags,varargs);SYSCALLS.varargs=varargs;try{path=SYSCALLS.getStr(path);path=SYSCALLS.calculateAt(dirfd,path);var mode=varargs?SYSCALLS.get():0;return FS.open(path,flags,mode).fd}catch(e){if(typeof FS=="undefined"||!(e.name==="ErrnoError"))throw e;return-e.errno}}var __embind_register_bigint=(primitiveType,name,size,minRange,maxRange)=>{};var embind_init_charCodes=()=>{var codes=new Array(256);for(var i=0;i<256;++i){codes[i]=String.fromCharCode(i)}embind_charCodes=codes};var embind_charCodes=undefined;var readLatin1String=ptr=>{var ret="";var c=ptr;while(GROWABLE_HEAP_U8()[c]){ret+=embind_charCodes[GROWABLE_HEAP_U8()[c++]]}return ret};var awaitingDependencies={};var registeredTypes={};var typeDependencies={};var BindingError=undefined;var throwBindingError=message=>{throw new BindingError(message)};var InternalError=undefined;var throwInternalError=message=>{throw new InternalError(message)};var whenDependentTypesAreResolved=(myTypes,dependentTypes,getTypeConverters)=>{myTypes.forEach(function(type){typeDependencies[type]=dependentTypes});function onComplete(typeConverters){var myTypeConverters=getTypeConverters(typeConverters);if(myTypeConverters.length!==myTypes.length){throwInternalError("Mismatched type converter count")}for(var i=0;i{if(registeredTypes.hasOwnProperty(dt)){typeConverters[i]=registeredTypes[dt]}else{unregisteredTypes.push(dt);if(!awaitingDependencies.hasOwnProperty(dt)){awaitingDependencies[dt]=[]}awaitingDependencies[dt].push(()=>{typeConverters[i]=registeredTypes[dt];++registered;if(registered===unregisteredTypes.length){onComplete(typeConverters)}})}});if(0===unregisteredTypes.length){onComplete(typeConverters)}};function sharedRegisterType(rawType,registeredInstance,options={}){var name=registeredInstance.name;if(!rawType){throwBindingError(`type "${name}" must have a positive integer typeid pointer`)}if(registeredTypes.hasOwnProperty(rawType)){if(options.ignoreDuplicateRegistrations){return}else{throwBindingError(`Cannot register type '${name}' twice`)}}registeredTypes[rawType]=registeredInstance;delete typeDependencies[rawType];if(awaitingDependencies.hasOwnProperty(rawType)){var callbacks=awaitingDependencies[rawType];delete awaitingDependencies[rawType];callbacks.forEach(cb=>cb())}}function registerType(rawType,registeredInstance,options={}){if(!("argPackAdvance"in registeredInstance)){throw new TypeError("registerType registeredInstance requires argPackAdvance")}return sharedRegisterType(rawType,registeredInstance,options)}var GenericWireTypeSize=8;var __embind_register_bool=(rawType,name,trueValue,falseValue)=>{name=readLatin1String(name);registerType(rawType,{name:name,"fromWireType":function(wt){return!!wt},"toWireType":function(destructors,o){return o?trueValue:falseValue},"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":function(pointer){return this["fromWireType"](GROWABLE_HEAP_U8()[pointer])},destructorFunction:null})};function handleAllocatorInit(){Object.assign(HandleAllocator.prototype,{get(id){return this.allocated[id]},has(id){return this.allocated[id]!==undefined},allocate(handle){var id=this.freelist.pop()||this.allocated.length;this.allocated[id]=handle;return id},free(id){this.allocated[id]=undefined;this.freelist.push(id)}})}function HandleAllocator(){this.allocated=[undefined];this.freelist=[]}var emval_handles=new HandleAllocator;var __emval_decref=handle=>{if(handle>=emval_handles.reserved&&0===--emval_handles.get(handle).refcount){emval_handles.free(handle)}};var count_emval_handles=()=>{var count=0;for(var i=emval_handles.reserved;i{emval_handles.allocated.push({value:undefined},{value:null},{value:true},{value:false});emval_handles.reserved=emval_handles.allocated.length;Module["count_emval_handles"]=count_emval_handles};var Emval={toValue:handle=>{if(!handle){throwBindingError("Cannot use deleted val. handle = "+handle)}return emval_handles.get(handle).value},toHandle:value=>{switch(value){case undefined:return 1;case null:return 2;case true:return 3;case false:return 4;default:{return emval_handles.allocate({refcount:1,value:value})}}}};function simpleReadValueFromPointer(pointer){return this["fromWireType"](GROWABLE_HEAP_I32()[pointer>>2])}var __embind_register_emval=(rawType,name)=>{name=readLatin1String(name);registerType(rawType,{name:name,"fromWireType":handle=>{var rv=Emval.toValue(handle);__emval_decref(handle);return rv},"toWireType":(destructors,value)=>Emval.toHandle(value),"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":simpleReadValueFromPointer,destructorFunction:null})};var floatReadValueFromPointer=(name,width)=>{switch(width){case 4:return function(pointer){return this["fromWireType"](GROWABLE_HEAP_F32()[pointer>>2])};case 8:return function(pointer){return this["fromWireType"](GROWABLE_HEAP_F64()[pointer>>3])};default:throw new TypeError(`invalid float width (${width}): ${name}`)}};var __embind_register_float=(rawType,name,size)=>{name=readLatin1String(name);registerType(rawType,{name:name,"fromWireType":value=>value,"toWireType":(destructors,value)=>value,"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":floatReadValueFromPointer(name,size),destructorFunction:null})};var char_0=48;var char_9=57;var makeLegalFunctionName=name=>{if(undefined===name){return"_unknown"}name=name.replace(/[^a-zA-Z0-9_]/g,"$");var f=name.charCodeAt(0);if(f>=char_0&&f<=char_9){return`_${name}`}return name};var runDestructors=destructors=>{while(destructors.length){var ptr=destructors.pop();var del=destructors.pop();del(ptr)}};function createNamedFunction(name,body){name=makeLegalFunctionName(name);return{[name]:function(){return body.apply(this,arguments)}}[name]}function newFunc(constructor,argumentList){if(!(constructor instanceof Function)){throw new TypeError(`new_ called with constructor type ${typeof constructor} which is not a function`)}var dummy=createNamedFunction(constructor.name||"unknownFunctionName",function(){});dummy.prototype=constructor.prototype;var obj=new dummy;var r=constructor.apply(obj,argumentList);return r instanceof Object?r:obj}function craftInvokerFunction(humanName,argTypes,classType,cppInvokerFunc,cppTargetFunc,isAsync){var argCount=argTypes.length;if(argCount<2){throwBindingError("argTypes array size mismatch! Must at least get return value and 'this' types!")}var isClassMethodFunc=argTypes[1]!==null&&classType!==null;var needsDestructorStack=false;for(var i=1;i0?", ":"")+argsListWired}invokerFnBody+=(returns||isAsync?"var rv = ":"")+"invoker(fn"+(argsListWired.length>0?", ":"")+argsListWired+");\n";if(needsDestructorStack){invokerFnBody+="runDestructors(destructors);\n"}else{for(var i=isClassMethodFunc?1:2;i{if(undefined===proto[methodName].overloadTable){var prevFunc=proto[methodName];proto[methodName]=function(){if(!proto[methodName].overloadTable.hasOwnProperty(arguments.length)){throwBindingError(`Function '${humanName}' called with an invalid number of arguments (${arguments.length}) - expects one of (${proto[methodName].overloadTable})!`)}return proto[methodName].overloadTable[arguments.length].apply(this,arguments)};proto[methodName].overloadTable=[];proto[methodName].overloadTable[prevFunc.argCount]=prevFunc}};var exposePublicSymbol=(name,value,numArguments)=>{if(Module.hasOwnProperty(name)){if(undefined===numArguments||undefined!==Module[name].overloadTable&&undefined!==Module[name].overloadTable[numArguments]){throwBindingError(`Cannot register public name '${name}' twice`)}ensureOverloadTable(Module,name,name);if(Module.hasOwnProperty(numArguments)){throwBindingError(`Cannot register multiple overloads of a function with the same number of arguments (${numArguments})!`)}Module[name].overloadTable[numArguments]=value}else{Module[name]=value;if(undefined!==numArguments){Module[name].numArguments=numArguments}}};var heap32VectorToArray=(count,firstElement)=>{var array=[];for(var i=0;i>2])}return array};var replacePublicSymbol=(name,value,numArguments)=>{if(!Module.hasOwnProperty(name)){throwInternalError("Replacing nonexistant public symbol")}if(undefined!==Module[name].overloadTable&&undefined!==numArguments){Module[name].overloadTable[numArguments]=value}else{Module[name]=value;Module[name].argCount=numArguments}};var dynCallLegacy=(sig,ptr,args)=>{var f=Module["dynCall_"+sig];return args&&args.length?f.apply(null,[ptr].concat(args)):f.call(null,ptr)};var dynCall=(sig,ptr,args)=>{if(sig.includes("j")){return dynCallLegacy(sig,ptr,args)}var rtn=getWasmTableEntry(ptr).apply(null,args);return rtn};var getDynCaller=(sig,ptr)=>{var argCache=[];return function(){argCache.length=0;Object.assign(argCache,arguments);return dynCall(sig,ptr,argCache)}};var embind__requireFunction=(signature,rawFunction)=>{signature=readLatin1String(signature);function makeDynCaller(){if(signature.includes("j")){return getDynCaller(signature,rawFunction)}return getWasmTableEntry(rawFunction)}var fp=makeDynCaller();if(typeof fp!="function"){throwBindingError(`unknown function pointer with signature ${signature}: ${rawFunction}`)}return fp};var extendError=(baseErrorType,errorName)=>{var errorClass=createNamedFunction(errorName,function(message){this.name=errorName;this.message=message;var stack=new Error(message).stack;if(stack!==undefined){this.stack=this.toString()+"\n"+stack.replace(/^Error(:[^\n]*)?\n/,"")}});errorClass.prototype=Object.create(baseErrorType.prototype);errorClass.prototype.constructor=errorClass;errorClass.prototype.toString=function(){if(this.message===undefined){return this.name}else{return`${this.name}: ${this.message}`}};return errorClass};var UnboundTypeError=undefined;var getTypeName=type=>{var ptr=___getTypeName(type);var rv=readLatin1String(ptr);_free(ptr);return rv};var throwUnboundTypeError=(message,types)=>{var unboundTypes=[];var seen={};function visit(type){if(seen[type]){return}if(registeredTypes[type]){return}if(typeDependencies[type]){typeDependencies[type].forEach(visit);return}unboundTypes.push(type);seen[type]=true}types.forEach(visit);throw new UnboundTypeError(`${message}: `+unboundTypes.map(getTypeName).join([", "]))};var __embind_register_function=(name,argCount,rawArgTypesAddr,signature,rawInvoker,fn,isAsync)=>{var argTypes=heap32VectorToArray(argCount,rawArgTypesAddr);name=readLatin1String(name);rawInvoker=embind__requireFunction(signature,rawInvoker);exposePublicSymbol(name,function(){throwUnboundTypeError(`Cannot call ${name} due to unbound types`,argTypes)},argCount-1);whenDependentTypesAreResolved([],argTypes,function(argTypes){var invokerArgsArray=[argTypes[0],null].concat(argTypes.slice(1));replacePublicSymbol(name,craftInvokerFunction(name,invokerArgsArray,null,rawInvoker,fn,isAsync),argCount-1);return[]})};var integerReadValueFromPointer=(name,width,signed)=>{switch(width){case 1:return signed?pointer=>GROWABLE_HEAP_I8()[pointer>>0]:pointer=>GROWABLE_HEAP_U8()[pointer>>0];case 2:return signed?pointer=>GROWABLE_HEAP_I16()[pointer>>1]:pointer=>GROWABLE_HEAP_U16()[pointer>>1];case 4:return signed?pointer=>GROWABLE_HEAP_I32()[pointer>>2]:pointer=>GROWABLE_HEAP_U32()[pointer>>2];default:throw new TypeError(`invalid integer width (${width}): ${name}`)}};var __embind_register_integer=(primitiveType,name,size,minRange,maxRange)=>{name=readLatin1String(name);if(maxRange===-1){maxRange=4294967295}var fromWireType=value=>value;if(minRange===0){var bitshift=32-8*size;fromWireType=value=>value<>>bitshift}var isUnsignedType=name.includes("unsigned");var checkAssertions=(value,toTypeName)=>{};var toWireType;if(isUnsignedType){toWireType=function(destructors,value){checkAssertions(value,this.name);return value>>>0}}else{toWireType=function(destructors,value){checkAssertions(value,this.name);return value}}registerType(primitiveType,{name:name,"fromWireType":fromWireType,"toWireType":toWireType,"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":integerReadValueFromPointer(name,size,minRange!==0),destructorFunction:null})};var __embind_register_memory_view=(rawType,dataTypeIndex,name)=>{var typeMapping=[Int8Array,Uint8Array,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];var TA=typeMapping[dataTypeIndex];function decodeMemoryView(handle){var size=GROWABLE_HEAP_U32()[handle>>2];var data=GROWABLE_HEAP_U32()[handle+4>>2];return new TA(GROWABLE_HEAP_I8().buffer,data,size)}name=readLatin1String(name);registerType(rawType,{name:name,"fromWireType":decodeMemoryView,"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":decodeMemoryView},{ignoreDuplicateRegistrations:true})};function readPointer(pointer){return this["fromWireType"](GROWABLE_HEAP_U32()[pointer>>2])}var stringToUTF8=(str,outPtr,maxBytesToWrite)=>stringToUTF8Array(str,GROWABLE_HEAP_U8(),outPtr,maxBytesToWrite);var __embind_register_std_string=(rawType,name)=>{name=readLatin1String(name);var stdStringIsUTF8=name==="std::string";registerType(rawType,{name:name,"fromWireType":value=>{var length=GROWABLE_HEAP_U32()[value>>2];var payload=value+4;var str;if(stdStringIsUTF8){var decodeStartPtr=payload;for(var i=0;i<=length;++i){var currentBytePtr=payload+i;if(i==length||GROWABLE_HEAP_U8()[currentBytePtr]==0){var maxRead=currentBytePtr-decodeStartPtr;var stringSegment=UTF8ToString(decodeStartPtr,maxRead);if(str===undefined){str=stringSegment}else{str+=String.fromCharCode(0);str+=stringSegment}decodeStartPtr=currentBytePtr+1}}}else{var a=new Array(length);for(var i=0;i{if(value instanceof ArrayBuffer){value=new Uint8Array(value)}var length;var valueIsOfTypeString=typeof value=="string";if(!(valueIsOfTypeString||value instanceof Uint8Array||value instanceof Uint8ClampedArray||value instanceof Int8Array)){throwBindingError("Cannot pass non-string to std::string")}if(stdStringIsUTF8&&valueIsOfTypeString){length=lengthBytesUTF8(value)}else{length=value.length}var base=_malloc(4+length+1);var ptr=base+4;GROWABLE_HEAP_U32()[base>>2]=length;if(stdStringIsUTF8&&valueIsOfTypeString){stringToUTF8(value,ptr,length+1)}else{if(valueIsOfTypeString){for(var i=0;i255){_free(ptr);throwBindingError("String has UTF-16 code units that do not fit in 8 bits")}GROWABLE_HEAP_U8()[ptr+i]=charCode}}else{for(var i=0;i_free(ptr)})};var UTF16Decoder=typeof TextDecoder!="undefined"?new TextDecoder("utf-16le"):undefined;var UTF16ToString=(ptr,maxBytesToRead)=>{var endPtr=ptr;var idx=endPtr>>1;var maxIdx=idx+maxBytesToRead/2;while(!(idx>=maxIdx)&&GROWABLE_HEAP_U16()[idx])++idx;endPtr=idx<<1;if(endPtr-ptr>32&&UTF16Decoder)return UTF16Decoder.decode(GROWABLE_HEAP_U8().slice(ptr,endPtr));var str="";for(var i=0;!(i>=maxBytesToRead/2);++i){var codeUnit=GROWABLE_HEAP_I16()[ptr+i*2>>1];if(codeUnit==0)break;str+=String.fromCharCode(codeUnit)}return str};var stringToUTF16=(str,outPtr,maxBytesToWrite)=>{if(maxBytesToWrite===undefined){maxBytesToWrite=2147483647}if(maxBytesToWrite<2)return 0;maxBytesToWrite-=2;var startPtr=outPtr;var numCharsToWrite=maxBytesToWrite>1]=codeUnit;outPtr+=2}GROWABLE_HEAP_I16()[outPtr>>1]=0;return outPtr-startPtr};var lengthBytesUTF16=str=>str.length*2;var UTF32ToString=(ptr,maxBytesToRead)=>{var i=0;var str="";while(!(i>=maxBytesToRead/4)){var utf32=GROWABLE_HEAP_I32()[ptr+i*4>>2];if(utf32==0)break;++i;if(utf32>=65536){var ch=utf32-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}else{str+=String.fromCharCode(utf32)}}return str};var stringToUTF32=(str,outPtr,maxBytesToWrite)=>{if(maxBytesToWrite===undefined){maxBytesToWrite=2147483647}if(maxBytesToWrite<4)return 0;var startPtr=outPtr;var endPtr=startPtr+maxBytesToWrite-4;for(var i=0;i=55296&&codeUnit<=57343){var trailSurrogate=str.charCodeAt(++i);codeUnit=65536+((codeUnit&1023)<<10)|trailSurrogate&1023}GROWABLE_HEAP_I32()[outPtr>>2]=codeUnit;outPtr+=4;if(outPtr+4>endPtr)break}GROWABLE_HEAP_I32()[outPtr>>2]=0;return outPtr-startPtr};var lengthBytesUTF32=str=>{var len=0;for(var i=0;i=55296&&codeUnit<=57343)++i;len+=4}return len};var __embind_register_std_wstring=(rawType,charSize,name)=>{name=readLatin1String(name);var decodeString,encodeString,getHeap,lengthBytesUTF,shift;if(charSize===2){decodeString=UTF16ToString;encodeString=stringToUTF16;lengthBytesUTF=lengthBytesUTF16;getHeap=()=>GROWABLE_HEAP_U16();shift=1}else if(charSize===4){decodeString=UTF32ToString;encodeString=stringToUTF32;lengthBytesUTF=lengthBytesUTF32;getHeap=()=>GROWABLE_HEAP_U32();shift=2}registerType(rawType,{name:name,"fromWireType":value=>{var length=GROWABLE_HEAP_U32()[value>>2];var HEAP=getHeap();var str;var decodeStartPtr=value+4;for(var i=0;i<=length;++i){var currentBytePtr=value+4+i*charSize;if(i==length||HEAP[currentBytePtr>>shift]==0){var maxReadBytes=currentBytePtr-decodeStartPtr;var stringSegment=decodeString(decodeStartPtr,maxReadBytes);if(str===undefined){str=stringSegment}else{str+=String.fromCharCode(0);str+=stringSegment}decodeStartPtr=currentBytePtr+charSize}}_free(value);return str},"toWireType":(destructors,value)=>{if(!(typeof value=="string")){throwBindingError(`Cannot pass non-string to C++ string type ${name}`)}var length=lengthBytesUTF(value);var ptr=_malloc(4+length+charSize);GROWABLE_HEAP_U32()[ptr>>2]=length>>shift;encodeString(value,ptr+4,length+charSize);if(destructors!==null){destructors.push(_free,ptr)}return ptr},"argPackAdvance":GenericWireTypeSize,"readValueFromPointer":simpleReadValueFromPointer,destructorFunction:ptr=>_free(ptr)})};var __embind_register_void=(rawType,name)=>{name=readLatin1String(name);registerType(rawType,{isVoid:true,name:name,"argPackAdvance":0,"fromWireType":()=>undefined,"toWireType":(destructors,o)=>undefined})};var nowIsMonotonic=true;var __emscripten_get_now_is_monotonic=()=>nowIsMonotonic;var maybeExit=()=>{if(!keepRuntimeAlive()){try{if(ENVIRONMENT_IS_PTHREAD)__emscripten_thread_exit(EXITSTATUS);else _exit(EXITSTATUS)}catch(e){handleException(e)}}};var callUserCallback=func=>{if(ABORT){return}try{func();maybeExit()}catch(e){handleException(e)}};var __emscripten_thread_mailbox_await=pthread_ptr=>{if(typeof Atomics.waitAsync==="function"){var wait=Atomics.waitAsync(GROWABLE_HEAP_I32(),pthread_ptr>>2,pthread_ptr);wait.value.then(checkMailbox);var waitingAsync=pthread_ptr+128;Atomics.store(GROWABLE_HEAP_I32(),waitingAsync>>2,1)}};Module["__emscripten_thread_mailbox_await"]=__emscripten_thread_mailbox_await;var checkMailbox=()=>{var pthread_ptr=_pthread_self();if(pthread_ptr){__emscripten_thread_mailbox_await(pthread_ptr);callUserCallback(()=>__emscripten_check_mailbox())}};Module["checkMailbox"]=checkMailbox;var __emscripten_notify_mailbox_postmessage=(targetThreadId,currThreadId,mainThreadId)=>{if(targetThreadId==currThreadId){setTimeout(()=>checkMailbox())}else if(ENVIRONMENT_IS_PTHREAD){postMessage({"targetThread":targetThreadId,"cmd":"checkMailbox"})}else{var worker=PThread.pthreads[targetThreadId];if(!worker){return}worker.postMessage({"cmd":"checkMailbox"})}};var withStackSave=f=>{var stack=stackSave();var ret=f();stackRestore(stack);return ret};var proxyToMainThread=function(index,sync){var numCallArgs=arguments.length-2;var outerArgs=arguments;return withStackSave(()=>{var serializedNumCallArgs=numCallArgs;var args=stackAlloc(serializedNumCallArgs*8);var b=args>>3;for(var i=0;i{proxiedJSCallArgs.length=numCallArgs;var b=args>>3;for(var i=0;i{if(ENVIRONMENT_IS_NODE){PThread.pthreads[thread].ref()}};var requireRegisteredType=(rawType,humanName)=>{var impl=registeredTypes[rawType];if(undefined===impl){throwBindingError(humanName+" has unknown type "+getTypeName(rawType))}return impl};var __emval_as=(handle,returnType,destructorsRef)=>{handle=Emval.toValue(handle);returnType=requireRegisteredType(returnType,"emval::as");var destructors=[];var rd=Emval.toHandle(destructors);GROWABLE_HEAP_U32()[destructorsRef>>2]=rd;return returnType["toWireType"](destructors,handle)};var emval_symbols={};var getStringOrSymbol=address=>{var symbol=emval_symbols[address];if(symbol===undefined){return readLatin1String(address)}return symbol};var emval_methodCallers=[];var __emval_call_void_method=(caller,handle,methodName,args)=>{caller=emval_methodCallers[caller];handle=Emval.toValue(handle);methodName=getStringOrSymbol(methodName);caller(handle,methodName,null,args)};var emval_addMethodCaller=caller=>{var id=emval_methodCallers.length;emval_methodCallers.push(caller);return id};var emval_lookupTypes=(argCount,argTypes)=>{var a=new Array(argCount);for(var i=0;i>2],"parameter "+i)}return a};var emval_registeredMethods=[];var __emval_get_method_caller=(argCount,argTypes)=>{var types=emval_lookupTypes(argCount,argTypes);var retType=types[0];var signatureName=retType.name+"_$"+types.slice(1).map(function(t){return t.name}).join("_")+"$";var returnId=emval_registeredMethods[signatureName];if(returnId!==undefined){return returnId}var params=["retType"];var args=[retType];var argsList="";for(var i=0;i{name=getStringOrSymbol(name);return Emval.toHandle(Module[name])};var __emval_get_property=(handle,key)=>{handle=Emval.toValue(handle);key=Emval.toValue(key);return Emval.toHandle(handle[key])};var __emval_incref=handle=>{if(handle>4){emval_handles.get(handle).refcount+=1}};var craftEmvalAllocator=argCount=>{var argsList="";for(var i=0;iGROWABLE_HEAP_U32();var functionBody="return function emval_allocator_"+argCount+"(constructor, argTypes, args) {\n"+" var HEAPU32 = getMemory();\n";for(var i=0;i>2)], 'parameter "+i+"');\n"+"var arg"+i+" = argType"+i+".readValueFromPointer(args);\n"+"args += argType"+i+"['argPackAdvance'];\n"+"argTypes += 4;\n"}functionBody+="var obj = new constructor("+argsList+");\n"+"return valueToHandle(obj);\n"+"}\n";return new Function("requireRegisteredType","Module","valueToHandle","getMemory",functionBody)(requireRegisteredType,Module,Emval.toHandle,getMemory)};var emval_newers={};var __emval_new=(handle,argCount,argTypes,args)=>{handle=Emval.toValue(handle);var newer=emval_newers[argCount];if(!newer){newer=craftEmvalAllocator(argCount);emval_newers[argCount]=newer}return newer(handle,argTypes,args)};var __emval_new_cstring=v=>Emval.toHandle(getStringOrSymbol(v));var __emval_run_destructors=handle=>{var destructors=Emval.toValue(handle);runDestructors(destructors);__emval_decref(handle)};var _abort=()=>{abort("")};var warnOnce=text=>{if(!warnOnce.shown)warnOnce.shown={};if(!warnOnce.shown[text]){warnOnce.shown[text]=1;if(ENVIRONMENT_IS_NODE)text="warning: "+text;err(text)}};var _emscripten_check_blocking_allowed=()=>{};var runtimeKeepalivePush=()=>{runtimeKeepaliveCounter+=1};var _emscripten_exit_with_live_runtime=()=>{runtimeKeepalivePush();throw"unwind"};var getHeapMax=()=>2147483648;var _emscripten_get_heap_max=()=>getHeapMax();var _emscripten_get_now;_emscripten_get_now=()=>performance.timeOrigin+performance.now();var _emscripten_num_logical_cores=()=>{if(ENVIRONMENT_IS_NODE)return require("os").cpus().length;return navigator["hardwareConcurrency"]};var growMemory=size=>{var b=wasmMemory.buffer;var pages=(size-b.byteLength+65535)/65536;try{wasmMemory.grow(pages);updateMemoryViews();return 1}catch(e){}};var _emscripten_resize_heap=requestedSize=>{var oldSize=GROWABLE_HEAP_U8().length;requestedSize>>>=0;if(requestedSize<=oldSize){return false}var maxHeapSize=getHeapMax();if(requestedSize>maxHeapSize){return false}var alignUp=(x,multiple)=>x+(multiple-x%multiple)%multiple;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(requestedSize,overGrownHeapSize),65536));var replacement=growMemory(newSize);if(replacement){return true}}return false};var ENV={};var getExecutableName=()=>thisProgram||"./this.program";var getEnvStrings=()=>{if(!getEnvStrings.strings){var lang=(typeof navigator=="object"&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8";var env={"USER":"web_user","LOGNAME":"web_user","PATH":"/","PWD":"/","HOME":"/home/web_user","LANG":lang,"_":getExecutableName()};for(var x in ENV){if(ENV[x]===undefined)delete env[x];else env[x]=ENV[x]}var strings=[];for(var x in env){strings.push(`${x}=${env[x]}`)}getEnvStrings.strings=strings}return getEnvStrings.strings};var stringToAscii=(str,buffer)=>{for(var i=0;i>0]=str.charCodeAt(i)}GROWABLE_HEAP_I8()[buffer>>0]=0};var _environ_get=function(__environ,environ_buf){if(ENVIRONMENT_IS_PTHREAD)return proxyToMainThread(6,1,__environ,environ_buf);var bufSize=0;getEnvStrings().forEach((string,i)=>{var 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wasmImports={d:___cxa_throw,J:___emscripten_init_main_thread_js,m:___emscripten_thread_cleanup,G:___pthread_create_js,q:___syscall_fcntl64,L:___syscall_ioctl,M:___syscall_openat,y:__embind_register_bigint,R:__embind_register_bool,Q:__embind_register_emval,s:__embind_register_float,h:__embind_register_function,g:__embind_register_integer,c:__embind_register_memory_view,r:__embind_register_std_string,k:__embind_register_std_wstring,S:__embind_register_void,P:__emscripten_get_now_is_monotonic,F:__emscripten_notify_mailbox_postmessage,H:__emscripten_receive_on_main_thread_js,I:__emscripten_thread_mailbox_await,O:__emscripten_thread_set_strongref,w:__emval_as,U:__emval_call_void_method,f:__emval_decref,V:__emval_get_method_caller,u:__emval_get_module_property,i:__emval_get_property,l:__emval_incref,t:__emval_new,j:__emval_new_cstring,v:__emval_run_destructors,b:_abort,n:_emscripten_check_blocking_allowed,N:_emscripten_exit_with_live_runtime,z:_emscripten_get_heap_max,e:_emscripten_get_now,A:_emscripten_num_logical_cores,E:_emscripten_resize_heap,C:_environ_get,D:_environ_sizes_get,T:_exit,o:_fd_close,K:_fd_read,x:_fd_seek,p:_fd_write,a:wasmMemory||Module["wasmMemory"],B:_strftime_l};var wasmExports=createWasm();var ___wasm_call_ctors=()=>(___wasm_call_ctors=wasmExports["W"])();var _free=a0=>(_free=wasmExports["Y"])(a0);var _malloc=a0=>(_malloc=wasmExports["Z"])(a0);var __emscripten_tls_init=Module["__emscripten_tls_init"]=()=>(__emscripten_tls_init=Module["__emscripten_tls_init"]=wasmExports["_"])();var _pthread_self=Module["_pthread_self"]=()=>(_pthread_self=Module["_pthread_self"]=wasmExports["$"])();var ___getTypeName=a0=>(___getTypeName=wasmExports["aa"])(a0);var __embind_initialize_bindings=Module["__embind_initialize_bindings"]=()=>(__embind_initialize_bindings=Module["__embind_initialize_bindings"]=wasmExports["ba"])();var ___errno_location=()=>(___errno_location=wasmExports["ca"])();var __emscripten_thread_init=Module["__emscripten_thread_init"]=(a0,a1,a2,a3,a4,a5)=>(__emscripten_thread_init=Module["__emscripten_thread_init"]=wasmExports["da"])(a0,a1,a2,a3,a4,a5);var 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dynCall_iiiiiijj=Module["dynCall_iiiiiijj"]=(a0,a1,a2,a3,a4,a5,a6,a7,a8,a9)=>(dynCall_iiiiiijj=Module["dynCall_iiiiiijj"]=wasmExports["sa"])(a0,a1,a2,a3,a4,a5,a6,a7,a8,a9);function intArrayFromBase64(s){if(typeof ENVIRONMENT_IS_NODE!="undefined"&&ENVIRONMENT_IS_NODE){var buf=Buffer.from(s,"base64");return new Uint8Array(buf.buffer,buf.byteOffset,buf.length)}try{var decoded=atob(s);var bytes=new Uint8Array(decoded.length);for(var i=0;i0){return}if(ENVIRONMENT_IS_PTHREAD){readyPromiseResolve(Module);initRuntime();startWorker(Module);return}preRun();if(runDependencies>0){return}function doRun(){if(calledRun)return;calledRun=true;Module["calledRun"]=true;if(ABORT)return;initRuntime();readyPromiseResolve(Module);if(Module["onRuntimeInitialized"])Module["onRuntimeInitialized"]();postRun()}if(Module["setStatus"]){Module["setStatus"]("Running...");setTimeout(function(){setTimeout(function(){Module["setStatus"]("")},1);doRun()},1)}else{doRun()}}if(Module["preInit"]){if(typeof Module["preInit"]=="function")Module["preInit"]=[Module["preInit"]];while(Module["preInit"].length>0){Module["preInit"].pop()()}}run(); return moduleArg.ready diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt index c6a2c305e9c..62b5b6fe495 100644 --- a/examples/CMakeLists.txt +++ b/examples/CMakeLists.txt @@ -14,6 +14,10 @@ if (WHISPER_SDL2) message(STATUS "SDL2_LIBRARIES = ${SDL2_LIBRARIES}") endif() +if (WHISPER_CLBLAST) + find_package(CLBlast REQUIRED) +endif() + # common set(TARGET common) @@ -73,3 +77,5 @@ else() add_subdirectory(talk-llama) add_subdirectory(lsp) endif() + +add_subdirectory(wchess) diff --git a/examples/helpers.js b/examples/helpers.js index 98cc5c63ec4..23f18ab5697 100644 --- a/examples/helpers.js +++ b/examples/helpers.js @@ -22,6 +22,7 @@ var printTextarea = (function() { async function clearCache() { if (confirm('Are you sure you want to clear the cache?\nAll the models will be downloaded again.')) { indexedDB.deleteDatabase(dbName); + location.reload(); } } diff --git a/examples/server/CMakeLists.txt b/examples/server/CMakeLists.txt index 9b1e66550d9..f5302276526 100644 --- a/examples/server/CMakeLists.txt +++ b/examples/server/CMakeLists.txt @@ -4,3 +4,9 @@ add_executable(${TARGET} server.cpp httplib.h json.hpp) include(DefaultTargetOptions) target_link_libraries(${TARGET} PRIVATE common whisper ${CMAKE_THREAD_LIBS_INIT}) + +# Check if the compiler is MinGW +if(MINGW) + # Link the necessary libraries for SSL and Winsock + target_link_libraries(${TARGET} PRIVATE -lcrypt32 -lssl -lcrypto -lws2_32) +endif() diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 96f8608c430..ac2f2a51566 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -589,6 +589,7 @@ int main(int argc, char ** argv) { wparams.duration_ms = params.duration_ms; wparams.thold_pt = params.word_thold; + wparams.max_len = params.max_len == 0 ? 60 : params.max_len; wparams.split_on_word = params.split_on_word; wparams.speed_up = params.speed_up; diff --git a/examples/talk-llama/CMakeLists.txt b/examples/talk-llama/CMakeLists.txt index 8478a13c6e3..567db34499d 100644 --- a/examples/talk-llama/CMakeLists.txt +++ b/examples/talk-llama/CMakeLists.txt @@ -1,25 +1,18 @@ if (WHISPER_SDL2) # talk-llama set(TARGET talk-llama) - #add_executable(${TARGET} talk-llama.cpp llama.cpp) - #target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS}) - #target_link_libraries(${TARGET} PRIVATE common common-sdl whisper ${SDL2_LIBRARIES} ${CMAKE_THREAD_LIBS_INIT}) + add_executable(${TARGET} talk-llama.cpp llama.cpp) + target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS}) - # TODO: this is temporary - # need to export ggml symbols for MSVC, but too lazy .. - add_executable(${TARGET} - talk-llama.cpp - llama.cpp - ../common.cpp - ../common-sdl.cpp - ../../ggml.c - ../../ggml-alloc.c - ../../ggml-backend.c - ../../ggml-quants.c - ../../whisper.cpp) + if (WHISPER_CLBLAST) + set(CLBLAST_LIBNAME clblast) + endif () + target_link_libraries(${TARGET} PRIVATE common common-sdl whisper ${SDL2_LIBRARIES} ${CLBLAST_LIBNAME} ${CMAKE_THREAD_LIBS_INIT}) - target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS} ../../) - target_link_libraries(${TARGET} PRIVATE ${SDL2_LIBRARIES} ${CMAKE_THREAD_LIBS_INIT}) + if(WIN32) + # It requires Windows 8.1 or later for PrefetchVirtualMemory + target_compile_definitions(${TARGET} PRIVATE -D_WIN32_WINNT=0x0602) + endif() include(DefaultTargetOptions) endif () diff --git a/examples/talk-llama/llama.cpp b/examples/talk-llama/llama.cpp index 8b6a6002c0c..cb0546c952d 100644 --- a/examples/talk-llama/llama.cpp +++ b/examples/talk-llama/llama.cpp @@ -1,11 +1,12 @@ #define LLAMA_API_INTERNAL +//#define LLAMA_GGML_BACKEND_CUDA_TEST // for testing only - enables ggml-cuda through ggml-backend, disables partial offloading #include "llama.h" #include "unicode.h" #include "ggml.h" - #include "ggml-alloc.h" +#include "ggml-backend.h" #ifdef GGML_USE_CUBLAS # include "ggml-cuda.h" @@ -32,6 +33,7 @@ #include #if defined(_POSIX_MAPPED_FILES) #include + #include #endif #if defined(_POSIX_MEMLOCK_RANGE) #include @@ -46,7 +48,6 @@ #endif #include #include - #include // for _fseeki64 #endif #include @@ -75,6 +76,7 @@ #include #include #include +#include #include #if defined(_MSC_VER) @@ -91,6 +93,9 @@ #define LLAMA_ATTRIBUTE_FORMAT(...) #endif +#define LLAMA_MAX_NODES 8192 +#define LLAMA_MAX_EXPERTS 8 + // // logging // @@ -190,6 +195,9 @@ enum llm_arch { LLM_ARCH_PERSIMMON, LLM_ARCH_REFACT, LLM_ARCH_BLOOM, + LLM_ARCH_STABLELM, + LLM_ARCH_QWEN, + LLM_ARCH_PHI2, LLM_ARCH_UNKNOWN, }; @@ -205,6 +213,9 @@ static std::map LLM_ARCH_NAMES = { { LLM_ARCH_PERSIMMON, "persimmon" }, { LLM_ARCH_REFACT, "refact" }, { LLM_ARCH_BLOOM, "bloom" }, + { LLM_ARCH_STABLELM, "stablelm" }, + { LLM_ARCH_QWEN, "qwen" }, + { LLM_ARCH_PHI2, "phi2" }, }; enum llm_kv { @@ -225,6 +236,8 @@ enum llm_kv { LLM_KV_FEED_FORWARD_LENGTH, LLM_KV_USE_PARALLEL_RESIDUAL, LLM_KV_TENSOR_DATA_LAYOUT, + LLM_KV_EXPERT_COUNT, + LLM_KV_EXPERT_USED_COUNT, LLM_KV_ATTENTION_HEAD_COUNT, LLM_KV_ATTENTION_HEAD_COUNT_KV, @@ -251,6 +264,8 @@ enum llm_kv { LLM_KV_TOKENIZER_UNK_ID, LLM_KV_TOKENIZER_SEP_ID, LLM_KV_TOKENIZER_PAD_ID, + LLM_KV_TOKENIZER_ADD_BOS, + LLM_KV_TOKENIZER_ADD_EOS, LLM_KV_TOKENIZER_HF_JSON, LLM_KV_TOKENIZER_RWKV, }; @@ -273,6 +288,8 @@ static std::map LLM_KV_NAMES = { { LLM_KV_FEED_FORWARD_LENGTH, "%s.feed_forward_length" }, { LLM_KV_USE_PARALLEL_RESIDUAL, "%s.use_parallel_residual" }, { LLM_KV_TENSOR_DATA_LAYOUT, "%s.tensor_data_layout" }, + { LLM_KV_EXPERT_COUNT, "%s.expert_count" }, + { LLM_KV_EXPERT_USED_COUNT, "%s.expert_used_count" }, { LLM_KV_ATTENTION_HEAD_COUNT, "%s.attention.head_count" }, { LLM_KV_ATTENTION_HEAD_COUNT_KV, "%s.attention.head_count_kv" }, @@ -299,6 +316,8 @@ static std::map LLM_KV_NAMES = { { LLM_KV_TOKENIZER_UNK_ID, "tokenizer.ggml.unknown_token_id" }, { LLM_KV_TOKENIZER_SEP_ID, "tokenizer.ggml.seperator_token_id" }, { LLM_KV_TOKENIZER_PAD_ID, "tokenizer.ggml.padding_token_id" }, + { LLM_KV_TOKENIZER_ADD_BOS, "tokenizer.ggml.add_bos_token" }, + { LLM_KV_TOKENIZER_ADD_EOS, "tokenizer.ggml.add_eos_token" }, { LLM_KV_TOKENIZER_HF_JSON, "tokenizer.huggingface.json" }, { LLM_KV_TOKENIZER_RWKV, "tokenizer.rwkv.world" }, }; @@ -328,10 +347,14 @@ enum llm_tensor { LLM_TENSOR_ATTN_NORM, LLM_TENSOR_ATTN_NORM_2, LLM_TENSOR_ATTN_ROT_EMBD, + LLM_TENSOR_FFN_GATE_INP, + LLM_TENSOR_FFN_NORM, LLM_TENSOR_FFN_GATE, LLM_TENSOR_FFN_DOWN, LLM_TENSOR_FFN_UP, - LLM_TENSOR_FFN_NORM, + LLM_TENSOR_FFN_DOWN_EXP, + LLM_TENSOR_FFN_GATE_EXP, + LLM_TENSOR_FFN_UP_EXP, LLM_TENSOR_ATTN_Q_NORM, LLM_TENSOR_ATTN_K_NORM, }; @@ -350,10 +373,14 @@ static std::map> LLM_TENSOR_NAMES = { LLM_TENSOR_ATTN_V, "blk.%d.attn_v" }, { LLM_TENSOR_ATTN_OUT, "blk.%d.attn_output" }, { LLM_TENSOR_ATTN_ROT_EMBD, "blk.%d.attn_rot_embd" }, + { LLM_TENSOR_FFN_GATE_INP, "blk.%d.ffn_gate_inp" }, { LLM_TENSOR_FFN_NORM, "blk.%d.ffn_norm" }, { LLM_TENSOR_FFN_GATE, "blk.%d.ffn_gate" }, { LLM_TENSOR_FFN_DOWN, "blk.%d.ffn_down" }, { LLM_TENSOR_FFN_UP, "blk.%d.ffn_up" }, + { LLM_TENSOR_FFN_GATE_EXP, "blk.%d.ffn_gate.%d" }, + { LLM_TENSOR_FFN_DOWN_EXP, "blk.%d.ffn_down.%d" }, + { LLM_TENSOR_FFN_UP_EXP, "blk.%d.ffn_up.%d" }, }, }, { @@ -493,6 +520,54 @@ static std::map> LLM_TENSOR_NAMES = { LLM_TENSOR_FFN_DOWN, "blk.%d.ffn_down" }, }, }, + { + LLM_ARCH_STABLELM, + { + { LLM_TENSOR_TOKEN_EMBD, "token_embd" }, + { LLM_TENSOR_OUTPUT_NORM, "output_norm" }, + { LLM_TENSOR_OUTPUT, "output" }, + { LLM_TENSOR_ROPE_FREQS, "rope_freqs" }, + { LLM_TENSOR_ATTN_NORM, "blk.%d.attn_norm" }, + { LLM_TENSOR_ATTN_Q, "blk.%d.attn_q" }, + { LLM_TENSOR_ATTN_K, "blk.%d.attn_k" }, + { LLM_TENSOR_ATTN_V, "blk.%d.attn_v" }, + { LLM_TENSOR_ATTN_OUT, "blk.%d.attn_output" }, + { LLM_TENSOR_FFN_NORM, "blk.%d.ffn_norm" }, + { LLM_TENSOR_FFN_GATE, "blk.%d.ffn_gate" }, + { LLM_TENSOR_FFN_DOWN, "blk.%d.ffn_down" }, + { LLM_TENSOR_FFN_UP, "blk.%d.ffn_up" }, + }, + }, + { + LLM_ARCH_QWEN, + { + { LLM_TENSOR_TOKEN_EMBD, "token_embd" }, + { LLM_TENSOR_OUTPUT_NORM, "output_norm" }, + { LLM_TENSOR_OUTPUT, "output" }, + { LLM_TENSOR_ROPE_FREQS, "rope_freqs" }, + { LLM_TENSOR_ATTN_NORM, "blk.%d.attn_norm" }, + { LLM_TENSOR_ATTN_QKV, "blk.%d.attn_qkv" }, + { LLM_TENSOR_ATTN_OUT, "blk.%d.attn_output" }, + { LLM_TENSOR_FFN_NORM, "blk.%d.ffn_norm" }, + { LLM_TENSOR_FFN_GATE, "blk.%d.ffn_gate" }, + { LLM_TENSOR_FFN_DOWN, "blk.%d.ffn_down" }, + { LLM_TENSOR_FFN_UP, "blk.%d.ffn_up" }, + }, + }, + { + LLM_ARCH_PHI2, + { + { LLM_TENSOR_TOKEN_EMBD, "token_embd" }, + { LLM_TENSOR_OUTPUT_NORM, "output_norm" }, + { LLM_TENSOR_OUTPUT, "output" }, + { LLM_TENSOR_ATTN_NORM, "blk.%d.attn_norm" }, + { LLM_TENSOR_ATTN_QKV, "blk.%d.attn_qkv" }, + { LLM_TENSOR_ATTN_OUT, "blk.%d.attn_output" }, + { LLM_TENSOR_FFN_DOWN, "blk.%d.ffn_down" }, + { LLM_TENSOR_FFN_UP, "blk.%d.ffn_up" }, + }, + }, + { LLM_ARCH_UNKNOWN, { @@ -540,27 +615,16 @@ struct LLM_TN { std::string operator()(llm_tensor tensor, const std::string & suffix, int bid) const { return ::format(LLM_TENSOR_NAMES[arch].at(tensor).c_str(), bid) + "." + suffix; } + + std::string operator()(llm_tensor tensor, const std::string & suffix, int bid, int xid) const { + return ::format(LLM_TENSOR_NAMES[arch].at(tensor).c_str(), bid, xid) + "." + suffix; + } }; // // gguf helpers // -#define GGUF_GET_KEY(ctx, dst, func, type, req, key) \ -do { \ - const std::string skey(key); \ - const int kid = gguf_find_key(ctx, skey.c_str()); \ - if (kid >= 0) { \ - enum gguf_type ktype = gguf_get_kv_type(ctx, kid); \ - if (ktype != (type)) { \ - throw std::runtime_error(format("key %s has wrong type: %s", skey.c_str(), gguf_type_name(ktype))); \ - } \ - (dst) = func(ctx, kid); \ - } else if (req) { \ - throw std::runtime_error(format("key not found in model: %s", skey.c_str())); \ - } \ -} while (0) - static std::map LLAMA_ROPE_SCALING_TYPES = { { LLAMA_ROPE_SCALING_NONE, "none" }, { LLAMA_ROPE_SCALING_LINEAR, "linear" }, @@ -577,6 +641,60 @@ static int8_t llama_rope_scaling_type_from_string(const std::string & name) { return LLAMA_ROPE_SCALING_UNSPECIFIED; } +static std::string gguf_data_to_str(enum gguf_type type, const void * data, int i) { + switch (type) { + case GGUF_TYPE_UINT8: return std::to_string(((const uint8_t *)data)[i]); + case GGUF_TYPE_INT8: return std::to_string(((const int8_t *)data)[i]); + case GGUF_TYPE_UINT16: return std::to_string(((const uint16_t *)data)[i]); + case GGUF_TYPE_INT16: return std::to_string(((const int16_t *)data)[i]); + case GGUF_TYPE_UINT32: return std::to_string(((const uint32_t *)data)[i]); + case GGUF_TYPE_INT32: return std::to_string(((const int32_t *)data)[i]); + case GGUF_TYPE_UINT64: return std::to_string(((const uint64_t *)data)[i]); + case GGUF_TYPE_INT64: return std::to_string(((const int64_t *)data)[i]); + case GGUF_TYPE_FLOAT32: return std::to_string(((const float *)data)[i]); + case GGUF_TYPE_FLOAT64: return std::to_string(((const double *)data)[i]); + case GGUF_TYPE_BOOL: return ((const bool *)data)[i] ? "true" : "false"; + default: return format("unknown type %d", type); + } +} + +static std::string gguf_kv_to_str(const struct gguf_context * ctx_gguf, int i) { + const enum gguf_type type = gguf_get_kv_type(ctx_gguf, i); + + switch (type) { + case GGUF_TYPE_STRING: + return gguf_get_val_str(ctx_gguf, i); + case GGUF_TYPE_ARRAY: + { + const enum gguf_type arr_type = gguf_get_arr_type(ctx_gguf, i); + int arr_n = gguf_get_arr_n(ctx_gguf, i); + const void * data = gguf_get_arr_data(ctx_gguf, i); + std::stringstream ss; + ss << "["; + for (int j = 0; j < arr_n; j++) { + if (arr_type == GGUF_TYPE_STRING) { + std::string val = gguf_get_arr_str(ctx_gguf, i, j); + // escape quotes + replace_all(val, "\\", "\\\\"); + replace_all(val, "\"", "\\\""); + ss << '"' << val << '"'; + } else if (arr_type == GGUF_TYPE_ARRAY) { + ss << "???"; + } else { + ss << gguf_data_to_str(arr_type, data, j); + } + if (j < arr_n - 1) { + ss << ", "; + } + } + ss << "]"; + return ss.str(); + } + default: + return gguf_data_to_str(type, gguf_get_val_data(ctx_gguf, i), 0); + } +} + // // ggml helpers // @@ -596,20 +714,6 @@ static void ggml_graph_compute_helper(std::vector & buf, ggml_cgraph * // llama helpers // -#ifdef GGML_USE_CUBLAS -# define llama_host_malloc(n) ggml_cuda_host_malloc(n) -# define llama_host_free(data) ggml_cuda_host_free(data) -#elif GGML_USE_METAL -# define llama_host_malloc(n) ggml_metal_host_malloc(n) -# define llama_host_free(data) ggml_metal_host_free(data) -#elif GGML_USE_CPU_HBM -# define llama_host_malloc(n) hbw_malloc(n) -# define llama_host_free(data) if (data != NULL) hbw_free(data) -#else -# define llama_host_malloc(n) malloc(n) -# define llama_host_free(data) free(data) -#endif - #if defined(_WIN32) static std::string llama_format_win_err(DWORD err) { LPSTR buf; @@ -624,40 +728,10 @@ static std::string llama_format_win_err(DWORD err) { } #endif -struct llama_buffer { - void * data = NULL; - size_t size = 0; - - // fallback to malloc / free - // useful in cases where CUDA can try to allocate PINNED memory - bool fallback = false; - - void resize(size_t n) { - llama_host_free(data); - - data = llama_host_malloc(n); - if (!data) { - fallback = true; - data = malloc(n); - } else { - fallback = false; - } - - GGML_ASSERT(data); - size = n; - } - - ~llama_buffer() { - if (data) { - if (fallback) { // NOLINT - free(data); - } else { - llama_host_free(data); - } - } - - data = NULL; - } +template +struct no_init { + T value; + no_init() { /* do nothing */ } }; struct llama_file { @@ -745,6 +819,9 @@ struct llama_mmap { #ifdef _POSIX_MAPPED_FILES static constexpr bool SUPPORTED = true; + // list of mapped fragments (first_offset, last_offset) + std::vector> mapped_fragments; + llama_mmap(struct llama_file * file, size_t prefetch = (size_t) -1 /* -1 = max value */, bool numa = false) { size = file->size; int fd = fileno(file->fp); @@ -752,17 +829,22 @@ struct llama_mmap { // prefetch/readahead impairs performance on NUMA systems if (numa) { prefetch = 0; } #ifdef __linux__ + // advise the kernel to read the file sequentially (increases readahead) + if (posix_fadvise(fd, 0, 0, POSIX_FADV_SEQUENTIAL)) { + LLAMA_LOG_WARN("warning: posix_fadvise(.., POSIX_FADV_SEQUENTIAL) failed: %s\n", + strerror(errno)); + } if (prefetch) { flags |= MAP_POPULATE; } #endif addr = mmap(NULL, file->size, PROT_READ, flags, fd, 0); - if (addr == MAP_FAILED) { + if (addr == MAP_FAILED) { // NOLINT throw std::runtime_error(format("mmap failed: %s", strerror(errno))); } if (prefetch > 0) { - // Advise the kernel to preload the mapped memory + // advise the kernel to preload the mapped memory if (posix_madvise(addr, std::min(file->size, prefetch), POSIX_MADV_WILLNEED)) { - fprintf(stderr, "warning: posix_madvise(.., POSIX_MADV_WILLNEED) failed: %s\n", + LLAMA_LOG_WARN("warning: posix_madvise(.., POSIX_MADV_WILLNEED) failed: %s\n", strerror(errno)); } } @@ -770,14 +852,81 @@ struct llama_mmap { // advise the kernel not to use readahead // (because the next page might not belong on the same node) if (posix_madvise(addr, file->size, POSIX_MADV_RANDOM)) { - fprintf(stderr, "warning: posix_madvise(.., POSIX_MADV_RANDOM) failed: %s\n", + LLAMA_LOG_WARN("warning: posix_madvise(.., POSIX_MADV_RANDOM) failed: %s\n", strerror(errno)); } } + + // initialize list of mapped_fragments + mapped_fragments.emplace_back(0, file->size); + } + + static void align_range(size_t * first, size_t * last, size_t page_size) { + // align first to the next page + size_t offset_in_page = *first & (page_size - 1); + size_t offset_to_page = offset_in_page == 0 ? 0 : page_size - offset_in_page; + *first += offset_to_page; + + // align last to the previous page + *last = *last & ~(page_size - 1); + + if (*last <= *first) { + *last = *first; + } + } + + // partially unmap the file in the range [first, last) + void unmap_fragment(size_t first, size_t last) { + // note: this function must not be called multiple times with overlapping ranges + // otherwise, there is a risk of invalidating addresses that have been repurposed for other mappings + int page_size = sysconf(_SC_PAGESIZE); + align_range(&first, &last, page_size); + size_t len = last - first; + + if (len == 0) { + return; + } + + GGML_ASSERT(first % page_size == 0); + GGML_ASSERT(last % page_size == 0); + GGML_ASSERT(last > first); + + void * next_page_start = (uint8_t *) addr + first; + + // unmap the range + if (munmap(next_page_start, len)) { + LLAMA_LOG_WARN("warning: munmap failed: %s\n", strerror(errno)); + } + + // update the list of mapped fragments to avoid unmapping the same range again in the destructor + std::vector> new_mapped_fragments; + for (const auto & frag : mapped_fragments) { + if (frag.first < first && frag.second > last) { + // the range is in the middle of the fragment, split it + new_mapped_fragments.emplace_back(frag.first, first); + new_mapped_fragments.emplace_back(last, frag.second); + } else if (frag.first < first && frag.second > first) { + // the range starts in the middle of the fragment + new_mapped_fragments.emplace_back(frag.first, first); + } else if (frag.first < last && frag.second > last) { + // the range ends in the middle of the fragment + new_mapped_fragments.emplace_back(last, frag.second); + } else if (frag.first >= first && frag.second <= last) { + // the range covers the entire fragment + } else { + // the range is outside the fragment + new_mapped_fragments.push_back(frag); + } + } + mapped_fragments = std::move(new_mapped_fragments); } ~llama_mmap() { - munmap(addr, size); + for (const auto & frag : mapped_fragments) { + if (munmap((char *) addr + frag.first, frag.second - frag.first)) { + LLAMA_LOG_WARN("warning: munmap failed: %s\n", strerror(errno)); + } + } } #elif defined(_WIN32) static constexpr bool SUPPORTED = true; @@ -825,6 +974,12 @@ struct llama_mmap { } } + void unmap_fragment(size_t first, size_t last) { + // not supported + GGML_UNUSED(first); + GGML_UNUSED(last); + } + ~llama_mmap() { if (!UnmapViewOfFile(addr)) { fprintf(stderr, "warning: UnmapViewOfFile failed: %s\n", @@ -841,6 +996,13 @@ struct llama_mmap { throw std::runtime_error(std::string("mmap not supported")); } + + void unmap(size_t offset, size_t len) { + (void) offset; + (void) len; + + throw std::runtime_error(std::string("mmap not supported")); + } #endif }; @@ -1014,11 +1176,37 @@ static std::string llama_token_to_piece(const struct llama_context * ctx, llama_ return std::string(result.data(), result.size()); } +static ggml_backend_buffer_type_t llama_default_buffer_type(int n_gpu_layers) { +#ifdef GGML_USE_METAL + if (n_gpu_layers > 0) { + return ggml_backend_metal_buffer_type(); + } +#elif defined(GGML_USE_CUBLAS) && defined(LLAMA_GGML_BACKEND_CUDA_TEST) + if (n_gpu_layers > 0) { + return ggml_backend_cuda_buffer_type(0); + } +#elif defined(GGML_USE_CUBLAS) + return ggml_backend_cuda_host_buffer_type(); +#elif defined(GGML_USE_CPU_HBM) + return ggml_backend_cpu_hbm_buffer_type(); +#endif + + return ggml_backend_cpu_buffer_type(); + + GGML_UNUSED(n_gpu_layers); +} + // // globals // struct llama_state { + llama_state() { +#ifdef GGML_USE_METAL + ggml_metal_log_set_callback(log_callback, log_callback_user_data); +#endif + } + // We save the log callback globally ggml_log_callback log_callback = llama_log_callback_default; void * log_callback_user_data = nullptr; @@ -1042,9 +1230,9 @@ enum e_model { MODEL_70B, }; -static const size_t kB = 1024; -static const size_t MB = 1024*kB; -static const size_t GB = 1024*MB; +static const size_t kiB = 1024; +static const size_t MiB = 1024*kiB; +static const size_t GiB = 1024*MiB; struct llama_hparams { bool vocab_only; @@ -1056,6 +1244,8 @@ struct llama_hparams { uint32_t n_layer; uint32_t n_rot; uint32_t n_ff; + uint32_t n_expert = 0; + uint32_t n_expert_used = 0; float f_norm_eps; float f_norm_rms_eps; @@ -1070,15 +1260,18 @@ struct llama_hparams { float f_max_alibi_bias; bool operator!=(const llama_hparams & other) const { - if (this->vocab_only != other.vocab_only) return true; - if (this->n_vocab != other.n_vocab) return true; - if (this->n_ctx_train != other.n_ctx_train) return true; - if (this->n_embd != other.n_embd) return true; - if (this->n_head != other.n_head) return true; - if (this->n_head_kv != other.n_head_kv) return true; - if (this->n_layer != other.n_layer) return true; - if (this->n_rot != other.n_rot) return true; - if (this->n_ff != other.n_ff) return true; + if (this->vocab_only != other.vocab_only) return true; + if (this->n_vocab != other.n_vocab) return true; + if (this->n_ctx_train != other.n_ctx_train) return true; + if (this->n_embd != other.n_embd) return true; + if (this->n_head != other.n_head) return true; + if (this->n_head_kv != other.n_head_kv) return true; + if (this->n_layer != other.n_layer) return true; + if (this->n_rot != other.n_rot) return true; + if (this->n_ff != other.n_ff) return true; + if (this->n_expert != other.n_expert) return true; + if (this->n_expert_used != other.n_expert_used) return true; + if (this->rope_finetuned != other.rope_finetuned) return true; if (this->n_yarn_orig_ctx != other.n_yarn_orig_ctx) return true; @@ -1123,6 +1316,7 @@ struct llama_cparams { float yarn_beta_slow; bool mul_mat_q; + bool offload_kqv; }; struct llama_layer { @@ -1144,6 +1338,9 @@ struct llama_layer { struct ggml_tensor * wqkv; // attention bias + struct ggml_tensor * bq; + struct ggml_tensor * bk; + struct ggml_tensor * bv; struct ggml_tensor * bo; struct ggml_tensor * bqkv; @@ -1156,6 +1353,12 @@ struct llama_layer { struct ggml_tensor * ffn_down; // w2 struct ggml_tensor * ffn_up; // w3 + // ff MoE + struct ggml_tensor * ffn_gate_inp; + struct ggml_tensor * ffn_gate_exp[LLAMA_MAX_EXPERTS]; + struct ggml_tensor * ffn_down_exp[LLAMA_MAX_EXPERTS]; + struct ggml_tensor * ffn_up_exp [LLAMA_MAX_EXPERTS]; + // ff bias struct ggml_tensor * ffn_down_b; // b2 struct ggml_tensor * ffn_up_b; // b3 @@ -1181,28 +1384,34 @@ struct llama_kv_cache { // cannot be freely changed after a slot has been allocated. uint32_t head = 0; uint32_t size = 0; + uint32_t used = 0; // used cells (i.e. at least one seq_id) // computed before each graph build uint32_t n = 0; std::vector cells; - struct ggml_tensor * k = NULL; - struct ggml_tensor * v = NULL; + std::vector k_l; // per layer + std::vector v_l; struct ggml_context * ctx = NULL; - llama_buffer buf; + ggml_backend_buffer_t buf = NULL; ~llama_kv_cache() { +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) + if (ggml_cublas_loaded()) { + for (size_t i = 0; i < k_l.size(); ++i) { + ggml_cuda_free_data(k_l[i]); + ggml_cuda_free_data(v_l[i]); + } + } +#endif if (ctx) { ggml_free(ctx); } -#ifdef GGML_USE_CUBLAS - ggml_cuda_free_data(k); - ggml_cuda_free_data(v); -#endif // GGML_USE_CUBLAS + ggml_backend_buffer_free(buf); } }; @@ -1233,17 +1442,20 @@ struct llama_vocab { id special_sep_id = -1; id special_pad_id = -1; + int special_add_bos = -1; // -1 unknown, 1 add, 0 don't add. + int special_add_eos = -1; // -1 unknown, 1 add, 0 don't add. + id linefeed_id = 13; id special_prefix_id = 32007; id special_middle_id = 32009; id special_suffix_id = 32008; id special_eot_id = 32010; - int find_bpe_rank(std::string token_left, std::string token_right) const { - GGML_ASSERT(token_left.find(" ") == std::string::npos); - GGML_ASSERT(token_left.find("\n") == std::string::npos); - GGML_ASSERT(token_right.find(" ") == std::string::npos); - GGML_ASSERT(token_right.find("\n") == std::string::npos); + int find_bpe_rank(const std::string & token_left, const std::string & token_right) const { + GGML_ASSERT(token_left.find(' ') == std::string::npos); + GGML_ASSERT(token_left.find('\n') == std::string::npos); + GGML_ASSERT(token_right.find(' ') == std::string::npos); + GGML_ASSERT(token_right.find('\n') == std::string::npos); auto it = bpe_ranks.find(std::make_pair(token_left, token_right)); if (it == bpe_ranks.end()) { @@ -1272,16 +1484,20 @@ struct llama_model { struct ggml_tensor * output_norm; struct ggml_tensor * output_norm_b; struct ggml_tensor * output; + struct ggml_tensor * output_b; std::vector layers; int n_gpu_layers; + // gguf metadata + std::unordered_map gguf_kv; + // context struct ggml_context * ctx = NULL; // the model memory buffer - llama_buffer buf; + ggml_backend_buffer_t buf = NULL; // model memory mapped file std::unique_ptr mapping; @@ -1297,38 +1513,40 @@ struct llama_model { int64_t t_start_us = 0; ~llama_model() { - if (ctx) { - ggml_free(ctx); +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) + if (ggml_cublas_loaded()) { + for (size_t i = 0; i < tensors_by_name.size(); ++i) { + ggml_cuda_free_data(tensors_by_name[i].second); + } + ggml_cuda_free_scratch(); } +#endif -#ifdef GGML_USE_CUBLAS - for (size_t i = 0; i < tensors_by_name.size(); ++i) { - ggml_cuda_free_data(tensors_by_name[i].second); - } - ggml_cuda_free_scratch(); -#elif defined(GGML_USE_CLBLAST) +#if defined(GGML_USE_CLBLAST) for (size_t i = 0; i < tensors_by_name.size(); ++i) { ggml_cl_free_data(tensors_by_name[i].second); } #endif + if (ctx) { + ggml_free(ctx); + } + + ggml_backend_buffer_free(buf); } }; struct llama_context { llama_context(const llama_model & model) : model(model), t_start_us(model.t_start_us), t_load_us(model.t_load_us) {} ~llama_context() { -#ifdef GGML_USE_METAL - if (ctx_metal) { - ggml_metal_free(ctx_metal); - } -#endif - if (alloc) { - ggml_allocr_free(alloc); - } + ggml_allocr_free(alloc); + ggml_backend_buffer_free(buf_alloc); + ggml_backend_free(backend); } llama_cparams cparams; + ggml_backend_t backend = nullptr; + const llama_model & model; // key + value cache for the self attention @@ -1350,23 +1568,22 @@ struct llama_context { // decode output (2-dimensional array: [n_tokens][n_vocab]) std::vector logits; +#ifndef NDEBUG + // guard against access to unset logits + std::vector logits_valid; +#endif bool logits_all = false; // input embedding (1-dimensional array: [n_embd]) std::vector embedding; - // reusable buffer for `struct ggml_graph_plan.work_data` - std::vector work_buffer; - // memory buffers used to evaluate the model - llama_buffer buf_compute; - - llama_buffer buf_alloc; + std::vector buf_compute_meta; + ggml_backend_buffer_t buf_alloc = NULL; ggml_allocr * alloc = NULL; -#ifdef GGML_USE_METAL - ggml_metal_context * ctx_metal = NULL; -#endif + // temporary buffer for copying data to/from the backend + std::vector> buf_copy; #ifdef GGML_USE_MPI ggml_mpi_context * ctx_mpi = NULL; @@ -1380,61 +1597,78 @@ struct llama_context { static bool llama_kv_cache_init( const struct llama_hparams & hparams, struct llama_kv_cache & cache, - ggml_type wtype, + ggml_type ktype, + ggml_type vtype, uint32_t n_ctx, - int n_gpu_layers) { + int n_gpu_layers, + bool offload) { const uint32_t n_embd = hparams.n_embd_gqa(); const uint32_t n_layer = hparams.n_layer; - const int64_t n_mem = n_layer*n_ctx; - const int64_t n_elements = n_embd*n_mem; - cache.has_shift = false; cache.head = 0; cache.size = n_ctx; + cache.used = 0; cache.cells.clear(); cache.cells.resize(n_ctx); - cache.buf.resize(2u*n_elements*ggml_type_size(wtype) + 2u*ggml_tensor_overhead()); - memset(cache.buf.data, 0, cache.buf.size); - struct ggml_init_params params; - params.mem_size = cache.buf.size; - params.mem_buffer = cache.buf.data; - params.no_alloc = false; + params.mem_size = 2u*n_layer*ggml_tensor_overhead(); + params.mem_buffer = NULL; + params.no_alloc = true; cache.ctx = ggml_init(params); + size_t vram_kv_cache = 0; + if (!cache.ctx) { LLAMA_LOG_ERROR("%s: failed to allocate memory for kv cache\n", __func__); return false; } - cache.k = ggml_new_tensor_1d(cache.ctx, wtype, n_elements); - cache.v = ggml_new_tensor_1d(cache.ctx, wtype, n_elements); - ggml_set_name(cache.k, "cache_k"); - ggml_set_name(cache.v, "cache_v"); + cache.k_l.reserve(n_layer); + cache.v_l.reserve(n_layer); + + const int i_gpu_start = (int) n_layer - n_gpu_layers; + + for (int i = 0; i < (int) n_layer; i++) { + ggml_tensor * k = ggml_new_tensor_1d(cache.ctx, ktype, n_embd*n_ctx); + ggml_tensor * v = ggml_new_tensor_1d(cache.ctx, vtype, n_embd*n_ctx); + ggml_format_name(k, "cache_k_l%d", i); + ggml_format_name(v, "cache_v_l%d", i); + cache.k_l.push_back(k); + cache.v_l.push_back(v); +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) + if (i >= i_gpu_start) { + if (offload) { + ggml_cuda_assign_buffers_no_scratch(k); + ggml_cuda_assign_buffers_no_scratch(v); + vram_kv_cache += ggml_nbytes(k); + vram_kv_cache += ggml_nbytes(v); + // HACK: mark tensor as allocated + k->data = v->data = (void *)(uintptr_t)1; + } + } +#endif // GGML_USE_CUBLAS + } - (void) n_gpu_layers; -#ifdef GGML_USE_CUBLAS - size_t vram_kv_cache = 0; + // allocate tensors + cache.buf = ggml_backend_alloc_ctx_tensors_from_buft(cache.ctx, llama_default_buffer_type(n_gpu_layers)); - if (n_gpu_layers > (int)n_layer + 1) { - ggml_cuda_assign_buffers_no_scratch(cache.v); - LLAMA_LOG_INFO("%s: offloading v cache to GPU\n", __func__); - vram_kv_cache += ggml_nbytes(cache.v); - } - if (n_gpu_layers > (int)n_layer + 2) { - ggml_cuda_assign_buffers_no_scratch(cache.k); - LLAMA_LOG_INFO("%s: offloading k cache to GPU\n", __func__); - vram_kv_cache += ggml_nbytes(cache.k); + // buf may be NULL with full offload + if (cache.buf) { + // initialize the buffer to avoid NaNs in the padding + ggml_backend_buffer_clear(cache.buf, 0); } + if (vram_kv_cache > 0) { LLAMA_LOG_INFO("%s: VRAM kv self = %.2f MB\n", __func__, vram_kv_cache / 1024.0 / 1024.0); } -#endif // GGML_USE_CUBLAS + + GGML_UNUSED(i_gpu_start); + GGML_UNUSED(offload); return true; } @@ -1491,6 +1725,8 @@ static bool llama_kv_cache_find_slot( } } + cache.used += n_tokens; + return true; } @@ -1511,6 +1747,7 @@ static void llama_kv_cache_clear(struct llama_kv_cache & cache) { cache.cells[i].seq_id.clear(); } cache.head = 0; + cache.used = 0; } static void llama_kv_cache_seq_rm( @@ -1533,6 +1770,9 @@ static void llama_kv_cache_seq_rm( continue; } if (cache.cells[i].seq_id.empty()) { + // keep count of the number of used cells + if (cache.cells[i].pos >= 0) cache.used--; + cache.cells[i].pos = -1; if (new_head == cache.size) new_head = i; } @@ -1540,7 +1780,7 @@ static void llama_kv_cache_seq_rm( } // If we freed up a slot, set head to it so searching can start there. - if (new_head != cache.size) cache.head = new_head; + if (new_head != cache.size && new_head < cache.head) cache.head = new_head; } static void llama_kv_cache_seq_cp( @@ -1566,6 +1806,7 @@ static void llama_kv_cache_seq_keep(struct llama_kv_cache & cache, llama_seq_id for (uint32_t i = 0; i < cache.size; ++i) { if (!cache.cells[i].has_seq_id(seq_id)) { + if (cache.cells[i].pos >= 0) cache.used--; cache.cells[i].pos = -1; cache.cells[i].seq_id.clear(); if (new_head == cache.size) new_head = i; @@ -1576,7 +1817,7 @@ static void llama_kv_cache_seq_keep(struct llama_kv_cache & cache, llama_seq_id } // If we freed up a slot, set head to it so searching can start there. - if (new_head != cache.size) cache.head = new_head; + if (new_head != cache.size && new_head < cache.head) cache.head = new_head; } static void llama_kv_cache_seq_shift( @@ -1597,6 +1838,7 @@ static void llama_kv_cache_seq_shift( cache.cells[i].delta += delta; if (cache.cells[i].pos < 0) { + if (!cache.cells[i].seq_id.empty()) cache.used--; cache.cells[i].pos = -1; cache.cells[i].seq_id.clear(); if (new_head == cache.size) new_head = i; @@ -1647,6 +1889,169 @@ static std::string llama_format_tensor_shape(const struct ggml_tensor * t) { return buf; } +namespace GGUFMeta { + template + struct GKV_Base_Type { + static constexpr gguf_type gt = gt_; + + static T getter(const gguf_context * ctx, const int kid) { + return gfun(ctx, kid); + } + }; + + template struct GKV_Base; + + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + template<> struct GKV_Base: GKV_Base_Type {}; + + template<> struct GKV_Base { + static constexpr gguf_type gt = GGUF_TYPE_STRING; + + static std::string getter(const gguf_context * ctx, const int kid) { + return gguf_get_val_str(ctx, kid); + } + }; + + struct ArrayInfo{ + const gguf_type gt; + const size_t length; + const void * data; + }; + + template<> struct GKV_Base { + public: + static constexpr gguf_type gt = GGUF_TYPE_ARRAY; + static ArrayInfo getter(const gguf_context *ctx, const int k) { + return ArrayInfo { + gguf_get_arr_type(ctx, k), + size_t(gguf_get_arr_n(ctx, k)), + gguf_get_arr_data(ctx, k), + }; + } + }; + + template + class GKV: public GKV_Base { + GKV() = delete; + + public: + static T get_kv(const gguf_context * ctx, const int k) { + const enum gguf_type kt = gguf_get_kv_type(ctx, k); + + if (kt != GKV::gt) { + throw std::runtime_error(format("key %s has wrong type %s but expected type %s", + gguf_get_key(ctx, k), gguf_type_name(kt), gguf_type_name(GKV::gt))); + } + return GKV::getter(ctx, k); + } + + static const char * override_type_to_str(const llama_model_kv_override_type ty) { + switch (ty) { + case LLAMA_KV_OVERRIDE_BOOL: return "bool"; + case LLAMA_KV_OVERRIDE_INT: return "int"; + case LLAMA_KV_OVERRIDE_FLOAT: return "float"; + } + return "unknown"; + } + + static bool validate_override(const llama_model_kv_override_type expected_type, const struct llama_model_kv_override *override) { + if (!override) { return false; } + if (override->tag == expected_type) { + LLAMA_LOG_INFO("%s: Using metadata override (%5s) '%s' = ", + __func__, override_type_to_str(override->tag), override->key); + switch (override->tag) { + case LLAMA_KV_OVERRIDE_BOOL: { + printf("%s\n", override->bool_value ? "true" : "false"); + } break; + case LLAMA_KV_OVERRIDE_INT: { + printf("%" PRId64 "\n", override->int_value); + } break; + case LLAMA_KV_OVERRIDE_FLOAT: { + printf("%.6f\n", override->float_value); + } break; + default: + // Shouldn't be possible to end up here, but just in case... + throw std::runtime_error( + format("Unsupported attempt to override %s type for metadata key %s\n", + override_type_to_str(override->tag), override->key)); + } + return true; + } + LLAMA_LOG_WARN("%s: Warning: Bad metadata override type for key '%s', expected %s but got %s\n", + __func__, override->key, override_type_to_str(expected_type), override_type_to_str(override->tag)); + return false; + } + + template + static typename std::enable_if::value, bool>::type + try_override(OT & target, const struct llama_model_kv_override *override) { + if (validate_override(LLAMA_KV_OVERRIDE_BOOL, override)) { + target = override->bool_value; + return true; + } + return false; + } + + template + static typename std::enable_if::value && std::is_integral::value, bool>::type + try_override(OT & target, const struct llama_model_kv_override *override) { + if (validate_override(LLAMA_KV_OVERRIDE_INT, override)) { + target = override->int_value; + return true; + } + return false; + } + + template + static typename std::enable_if::value, bool>::type + try_override(T & target, const struct llama_model_kv_override *override) { + if (validate_override(LLAMA_KV_OVERRIDE_FLOAT, override)) { + target = override->float_value; + return true; + } + return false; + } + + template + static typename std::enable_if::value, bool>::type + try_override(T & target, const struct llama_model_kv_override *override) { + (void)target; + (void)override; + if (!override) { return false; } + // Currently, we should never end up here so it would be a bug if we do. + throw std::runtime_error(format("Unsupported attempt to override string type for metadata key %s\n", + override ? override->key : "NULL")); + } + + static bool set(const gguf_context * ctx, const int k, T & target, const struct llama_model_kv_override *override = nullptr) { + if (try_override(target, override)) { + return true; + } + if (k < 0) { return false; } + target = get_kv(ctx, k); + return true; + } + + static bool set(const gguf_context * ctx, const char * key, T & target, const struct llama_model_kv_override *override = nullptr) { + return set(ctx, gguf_find_key(ctx, key), target, override); + } + + static bool set(const gguf_context * ctx, const std::string & key, T & target, const struct llama_model_kv_override *override = nullptr) { + return set(ctx, key.c_str(), target, override); + } + }; +} + struct llama_model_loader { int n_kv = 0; int n_tensors = 0; @@ -1662,21 +2067,34 @@ struct llama_model_loader { llama_fver fver; std::unique_ptr mapping; + std::unordered_map kv_overrides; struct gguf_context * ctx_gguf = NULL; struct ggml_context * ctx_meta = NULL; - llama_model_loader(const std::string & fname, bool use_mmap) : file(fname.c_str(), "rb") { + std::string arch_name; + LLM_KV llm_kv = LLM_KV(LLM_ARCH_UNKNOWN); + + llama_model_loader(const std::string & fname, bool use_mmap, const struct llama_model_kv_override * param_overrides_p) : file(fname.c_str(), "rb") { struct gguf_init_params params = { /*.no_alloc = */ true, /*.ctx = */ &ctx_meta, }; + if (param_overrides_p != nullptr) { + for (const struct llama_model_kv_override *p = param_overrides_p; p->key[0] != 0; p++) { + kv_overrides.insert({std::string(p->key), *p}); + } + } + ctx_gguf = gguf_init_from_file(fname.c_str(), params); if (!ctx_gguf) { throw std::runtime_error(format("%s: failed to load model from %s\n", __func__, fname.c_str())); } + get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false); + llm_kv = LLM_KV(llm_arch_from_string(arch_name)); + n_kv = gguf_get_n_kv(ctx_gguf); n_tensors = gguf_get_n_tensors(ctx_gguf); @@ -1701,17 +2119,16 @@ struct llama_model_loader { enum ggml_type type_max = GGML_TYPE_F32; for (int i = 0; i < n_tensors; i++) { - const char * name = gguf_get_tensor_name(ctx_gguf, i); - struct ggml_tensor * meta = ggml_get_tensor(ctx_meta, name); + enum ggml_type type = gguf_get_tensor_type(ctx_gguf, i); - n_type[meta->type]++; + n_type[type]++; - if (n_type_max < n_type[meta->type]) { - n_type_max = n_type[meta->type]; - type_max = meta->type; + if (n_type_max < n_type[type]) { + n_type_max = n_type[type]; + type_max = type; } - LLAMA_LOG_INFO("%s: - tensor %4d: %32s %-8s [ %s ]\n", __func__, i, name, ggml_type_name(meta->type), llama_format_tensor_shape(meta).c_str()); + // LLAMA_LOG_INFO("%s: - tensor %4d: %32s %-8s [ %s ]\n", __func__, i, name, ggml_type_name(meta->type), llama_format_tensor_shape(meta).c_str()); } switch (type_max) { @@ -1728,10 +2145,10 @@ struct llama_model_loader { case GGML_TYPE_Q5_K: ftype = LLAMA_FTYPE_MOSTLY_Q5_K_M; break; case GGML_TYPE_Q6_K: ftype = LLAMA_FTYPE_MOSTLY_Q6_K; break; default: - { - LLAMA_LOG_WARN("%s: unknown type %s\n", __func__, ggml_type_name(type_max)); - ftype = LLAMA_FTYPE_ALL_F32; - } break; + { + LLAMA_LOG_WARN("%s: unknown type %s\n", __func__, ggml_type_name(type_max)); + ftype = LLAMA_FTYPE_ALL_F32; + } break; } // this is a way to mark that we have "guessed" the file type @@ -1744,11 +2161,23 @@ struct llama_model_loader { } } + LLAMA_LOG_INFO("%s: Dumping metadata keys/values. Note: KV overrides do not apply in this output.\n", __func__); for (int i = 0; i < n_kv; i++) { - const char * name = gguf_get_key(ctx_gguf, i); - const enum gguf_type type = gguf_get_kv_type(ctx_gguf, i); + const char * name = gguf_get_key(ctx_gguf, i); + const enum gguf_type type = gguf_get_kv_type(ctx_gguf, i); + const std::string type_name = + type == GGUF_TYPE_ARRAY + ? format("%s[%s,%d]", gguf_type_name(type), gguf_type_name(gguf_get_arr_type(ctx_gguf, i)), gguf_get_arr_n(ctx_gguf, i)) + : gguf_type_name(type); + + std::string value = gguf_kv_to_str(ctx_gguf, i); + const size_t MAX_VALUE_LEN = 40; + if (value.size() > MAX_VALUE_LEN) { + value = format("%s...", value.substr(0, MAX_VALUE_LEN - 3).c_str()); + } + replace_all(value, "\n", "\\n"); - LLAMA_LOG_INFO("%s: - kv %3d: %42s %-8s\n", __func__, i, name, gguf_type_name(type)); + LLAMA_LOG_INFO("%s: - kv %3d: %42s %-16s = %s\n", __func__, i, name, type_name.c_str(), value.c_str()); } // print type counts @@ -1778,62 +2207,90 @@ struct llama_model_loader { } } - std::string get_arch_name() const { - const auto kv = LLM_KV(LLM_ARCH_UNKNOWN); + template + typename std::enable_if::value, bool>::type + get_arr_n(const std::string & key, T & result, const bool required = true) { + const int kid = gguf_find_key(ctx_gguf, key.c_str()); - std::string arch_name; - GGUF_GET_KEY(ctx_gguf, arch_name, gguf_get_val_str, GGUF_TYPE_STRING, false, kv(LLM_KV_GENERAL_ARCHITECTURE)); + if (kid < 0) { + if (required) { + throw std::runtime_error(format("key not found in model: %s", key.c_str())); + } + return false; + } - return arch_name; - } + struct GGUFMeta::ArrayInfo arr_info = + GGUFMeta::GKV::get_kv(ctx_gguf, kid); - enum llm_arch get_arch() const { - const std::string arch_name = get_arch_name(); - return llm_arch_from_string(arch_name); + result = arr_info.length; + return true; } - const char * get_tensor_name(int i) const { - return gguf_get_tensor_name(ctx_gguf, i); + template + typename std::enable_if::value, bool>::type + get_arr_n(const enum llm_kv kid, T & result, const bool required = true) { + return get_arr_n(llm_kv(kid), result, required); } - struct ggml_tensor * get_tensor_meta(int i) const { - return ggml_get_tensor(ctx_meta, get_tensor_name(i)); - } + template + bool get_key(const std::string & key, T & result, const bool required = true) { + auto it = kv_overrides.find(key); - void calc_sizes(size_t & ctx_size_p, size_t & mmapped_size_p) const { - ctx_size_p = 0; - mmapped_size_p = 0; + const struct llama_model_kv_override * override = + it != kv_overrides.end() ? &it->second : nullptr; - for (int i = 0; i < n_tensors; i++) { - struct ggml_tensor * meta = get_tensor_meta(i); - ctx_size_p += sizeof(struct ggml_tensor) + GGML_OBJECT_SIZE; - (use_mmap ? mmapped_size_p : ctx_size_p) += ggml_nbytes_pad(meta); + const bool found = GGUFMeta::GKV::set(ctx_gguf, key, result, override); + + if (required && !found) { + throw std::runtime_error(format("key not found in model: %s", key.c_str())); } + + return found; } - struct ggml_tensor * create_tensor_for(struct ggml_context * ctx, struct ggml_tensor * meta, ggml_backend_type backend) { - if (backend != GGML_BACKEND_CPU) { - ggml_set_no_alloc(ctx, true); - } + template + bool get_key(const enum llm_kv kid, T & result, const bool required = true) { + return get_key(llm_kv(kid), result, required); + } + + std::string get_arch_name() const { + return arch_name; + } + + enum llm_arch get_arch() const { + return llm_kv.arch; + } + + const char * get_tensor_name(int i) const { + return gguf_get_tensor_name(ctx_gguf, i); + } + + struct ggml_tensor * get_tensor_meta(const char * name) const { + return ggml_get_tensor(ctx_meta, name); + } + struct ggml_tensor * get_tensor_meta(int i) const { + return get_tensor_meta(get_tensor_name(i)); + } + + struct ggml_tensor * create_tensor_for(struct ggml_context * ctx, struct ggml_tensor * meta, ggml_backend_type backend) { struct ggml_tensor * tensor = ggml_dup_tensor(ctx, meta); tensor->backend = backend; // TODO: ggml_set_backend ggml_set_name(tensor, ggml_get_name(meta)); - if (backend != GGML_BACKEND_CPU) { - ggml_set_no_alloc(ctx, use_mmap); - } - n_created++; return tensor; } - struct ggml_tensor * create_tensor(struct ggml_context * ctx, const std::string & name, const std::vector & ne, ggml_backend_type backend) { + struct ggml_tensor * create_tensor(struct ggml_context * ctx, const std::string & name, const std::vector & ne, ggml_backend_type backend, bool required = true) { struct ggml_tensor * cur = ggml_get_tensor(ctx_meta, name.c_str()); if (cur == NULL) { + if (!required) { + return NULL; + } throw std::runtime_error(format("%s: tensor '%s' not found", __func__, name.c_str())); } @@ -1879,91 +2336,144 @@ struct llama_model_loader { return gguf_get_data_offset(ctx_gguf) + gguf_get_tensor_offset(ctx_gguf, idx); } + void init_mapping(bool prefetch = true) { + /* + // prefetch only CPU tensors + if (use_mmap) { + size_t size_pref = 0; // prefetch + + for (int i = 0; i < gguf_get_n_tensors(ctx_gguf); i++) { + struct ggml_tensor * cur = ggml_get_tensor(ctx, gguf_get_tensor_name(ctx_gguf, i)); + if (cur->backend == GGML_BACKEND_CPU) { + size_t tensor_end = gguf_get_tensor_offset(ctx_gguf, i) + ggml_nbytes(cur); + size_pref = std::max(size_pref, tensor_end); + } + } + mapping.reset(new llama_mmap(&file, gguf_get_data_offset(ctx_gguf) + size_pref, ggml_is_numa())); + } + */ + // prefetch the whole file - all the data is needed anyway + if (use_mmap) { + mapping.reset(new llama_mmap(&file, prefetch ? -1 : 0, ggml_is_numa())); + } + } + + // for backwards compatibility, does not support ggml-backend void load_data_for(struct ggml_tensor * cur) const { const size_t offs = file_offset(ggml_get_name(cur)); - if (use_mmap) { - cur->data = (uint8_t *) mapping->addr + offs; + if (use_mmap && mapping) { + GGML_ASSERT(cur->data == nullptr); + cur->data = (uint8_t *)mapping->addr + offs; } else { + GGML_ASSERT(cur->data != nullptr); file.seek(offs, SEEK_SET); file.read_raw(cur->data, ggml_nbytes(cur)); } } - void load_all_data(struct ggml_context * ctx, llama_progress_callback progress_callback, void * progress_callback_user_data, llama_mlock * lmlock) { + // Returns false if cancelled by progress_callback + bool load_all_data(struct ggml_context * ctx, llama_progress_callback progress_callback, void * progress_callback_user_data, ggml_backend_buffer_t buf_mmap, llama_mlock * lmlock) const { size_t size_data = 0; - size_t size_lock = 0; - size_t size_pref = 0; // prefetch for (int i = 0; i < gguf_get_n_tensors(ctx_gguf); i++) { struct ggml_tensor * cur = ggml_get_tensor(ctx, gguf_get_tensor_name(ctx_gguf, i)); size_data += ggml_nbytes(cur); - if (cur->backend == GGML_BACKEND_CPU) { - size_pref += ggml_nbytes(cur); - } } - if (use_mmap) { - mapping.reset(new llama_mmap(&file, size_pref, ggml_is_numa())); + if (use_mmap && buf_mmap) { if (lmlock) { lmlock->init(mapping->addr); } } - size_t done_size = 0; +#if (defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST)) || defined(GGML_USE_CLBLAST) + const bool legacy_offload = true; +#else + const bool legacy_offload = false; +#endif + + std::vector> read_buf; + + size_t size_done = 0; + + size_t mmap_first = -1; + size_t mmap_last = 0; + for (int i = 0; i < gguf_get_n_tensors(ctx_gguf); i++) { struct ggml_tensor * cur = ggml_get_tensor(ctx, gguf_get_tensor_name(ctx_gguf, i)); GGML_ASSERT(cur); // unused tensors should have been caught by load_data already if (progress_callback) { - progress_callback((float) done_size / size_data, progress_callback_user_data); - } - - // allocate temp buffer if not using mmap - if (!use_mmap && cur->data == NULL) { - GGML_ASSERT(cur->backend != GGML_BACKEND_CPU); - #ifdef GGML_USE_CPU_HBM - cur->data = (uint8_t*)hbw_malloc(ggml_nbytes(cur)); - #else - cur->data = (uint8_t*)malloc(ggml_nbytes(cur)); - #endif + if (!progress_callback((float) size_done / size_data, progress_callback_user_data)) { + return false; + } } - load_data_for(cur); + const size_t offs = file_offset(ggml_get_name(cur)); - switch (cur->backend) { - case GGML_BACKEND_CPU: - if (use_mmap && lmlock) { - size_lock += ggml_nbytes(cur); - lmlock->grow_to(size_lock); + if (!legacy_offload || cur->backend == GGML_BACKEND_CPU) { + if (use_mmap && mapping) { + if (buf_mmap) { + ggml_backend_tensor_alloc(buf_mmap, cur, (uint8_t *) mapping->addr + offs); + if (lmlock) { + lmlock->grow_to(offs + ggml_nbytes(cur)); + } + mmap_first = std::min(mmap_first, offs); + mmap_last = std::max(mmap_last, offs + ggml_nbytes(cur)); + } else { + ggml_backend_tensor_set(cur, (uint8_t *) mapping->addr + offs, 0, ggml_nbytes(cur)); } - break; -#ifdef GGML_USE_CUBLAS - case GGML_BACKEND_GPU: - case GGML_BACKEND_GPU_SPLIT: - // old code: - //ggml_cuda_transform_tensor(lt.data, lt.ggml_tensor); - - // TODO: test if this works !! - ggml_cuda_transform_tensor(cur->data, cur); - if (!use_mmap) { - free(cur->data); + } else { + if (ggml_backend_buffer_is_host(cur->buffer)) { + file.seek(offs, SEEK_SET); + file.read_raw(cur->data, ggml_nbytes(cur)); + } else { + read_buf.resize(ggml_nbytes(cur)); + file.seek(offs, SEEK_SET); + file.read_raw(read_buf.data(), ggml_nbytes(cur)); + ggml_backend_tensor_set(cur, read_buf.data(), 0, ggml_nbytes(cur)); } - break; + } + } else { + // HACK: mark tensor as allocated + cur->data = (void *)(uintptr_t)1; + void * data; + if (use_mmap && mapping) { + data = (uint8_t *) mapping->addr + offs; + } else { + read_buf.resize(ggml_nbytes(cur)); + file.seek(offs, SEEK_SET); + file.read_raw(read_buf.data(), ggml_nbytes(cur)); + data = read_buf.data(); + } + +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) + ggml_cuda_transform_tensor(data, cur); #elif defined(GGML_USE_CLBLAST) - case GGML_BACKEND_GPU: - ggml_cl_transform_tensor(cur->data, cur); - if (!use_mmap) { - free(cur->data); - } - break; + GGML_ASSERT(cur->backend == GGML_BACKEND_GPU); + ggml_cl_transform_tensor(data, cur); +#else + GGML_ASSERT(!"GPU tensor without a GPU backend"); + GGML_UNUSED(data); #endif - default: - continue; } - done_size += ggml_nbytes(cur); + size_done += ggml_nbytes(cur); + } + + // unmap offloaded tensors and metadata + if (use_mmap && mapping) { + mapping->unmap_fragment(0, mmap_first); + mapping->unmap_fragment(mmap_last, mapping->size); + } + + if (progress_callback) { + // Even though the model is done loading, we still honor + // cancellation since we need to free allocations. + return progress_callback(1.0f, progress_callback_user_data); } + return true; } }; @@ -1986,25 +2496,25 @@ static std::string llama_model_ftype_name(llama_ftype ftype) { switch (ftype) { case LLAMA_FTYPE_ALL_F32: return "all F32"; - case LLAMA_FTYPE_MOSTLY_F16: return "mostly F16"; - case LLAMA_FTYPE_MOSTLY_Q4_0: return "mostly Q4_0"; - case LLAMA_FTYPE_MOSTLY_Q4_1: return "mostly Q4_1"; + case LLAMA_FTYPE_MOSTLY_F16: return "F16"; + case LLAMA_FTYPE_MOSTLY_Q4_0: return "Q4_0"; + case LLAMA_FTYPE_MOSTLY_Q4_1: return "Q4_1"; case LLAMA_FTYPE_MOSTLY_Q4_1_SOME_F16: - return "mostly Q4_1, some F16"; - case LLAMA_FTYPE_MOSTLY_Q5_0: return "mostly Q5_0"; - case LLAMA_FTYPE_MOSTLY_Q5_1: return "mostly Q5_1"; - case LLAMA_FTYPE_MOSTLY_Q8_0: return "mostly Q8_0"; + return "Q4_1, some F16"; + case LLAMA_FTYPE_MOSTLY_Q5_0: return "Q5_0"; + case LLAMA_FTYPE_MOSTLY_Q5_1: return "Q5_1"; + case LLAMA_FTYPE_MOSTLY_Q8_0: return "Q8_0"; // K-quants - case LLAMA_FTYPE_MOSTLY_Q2_K: return "mostly Q2_K"; - case LLAMA_FTYPE_MOSTLY_Q3_K_S: return "mostly Q3_K - Small"; - case LLAMA_FTYPE_MOSTLY_Q3_K_M: return "mostly Q3_K - Medium"; - case LLAMA_FTYPE_MOSTLY_Q3_K_L: return "mostly Q3_K - Large"; - case LLAMA_FTYPE_MOSTLY_Q4_K_S: return "mostly Q4_K - Small"; - case LLAMA_FTYPE_MOSTLY_Q4_K_M: return "mostly Q4_K - Medium"; - case LLAMA_FTYPE_MOSTLY_Q5_K_S: return "mostly Q5_K - Small"; - case LLAMA_FTYPE_MOSTLY_Q5_K_M: return "mostly Q5_K - Medium"; - case LLAMA_FTYPE_MOSTLY_Q6_K: return "mostly Q6_K"; + case LLAMA_FTYPE_MOSTLY_Q2_K: return "Q2_K"; + case LLAMA_FTYPE_MOSTLY_Q3_K_S: return "Q3_K - Small"; + case LLAMA_FTYPE_MOSTLY_Q3_K_M: return "Q3_K - Medium"; + case LLAMA_FTYPE_MOSTLY_Q3_K_L: return "Q3_K - Large"; + case LLAMA_FTYPE_MOSTLY_Q4_K_S: return "Q4_K - Small"; + case LLAMA_FTYPE_MOSTLY_Q4_K_M: return "Q4_K - Medium"; + case LLAMA_FTYPE_MOSTLY_Q5_K_S: return "Q5_K - Small"; + case LLAMA_FTYPE_MOSTLY_Q5_K_M: return "Q5_K - Medium"; + case LLAMA_FTYPE_MOSTLY_Q6_K: return "Q6_K"; default: return "unknown, may not work"; } @@ -2037,49 +2547,66 @@ static void llm_load_arch(llama_model_loader & ml, llama_model & model) { static void llm_load_hparams( llama_model_loader & ml, llama_model & model) { - struct gguf_context * ctx = ml.ctx_gguf; - - const auto kv = LLM_KV(model.arch); - auto & hparams = model.hparams; + const gguf_context * ctx = ml.ctx_gguf; + + // get metadata as string + for (int i = 0; i < gguf_get_n_kv(ctx); i++) { + enum gguf_type type = gguf_get_kv_type(ctx, i); + if (type == GGUF_TYPE_ARRAY) { + continue; + } + const char * name = gguf_get_key(ctx, i); + const std::string value = gguf_kv_to_str(ctx, i); + model.gguf_kv.emplace(name, value); + } // get general kv - GGUF_GET_KEY(ctx, model.name, gguf_get_val_str, GGUF_TYPE_STRING, false, kv(LLM_KV_GENERAL_NAME)); + ml.get_key(LLM_KV_GENERAL_NAME, model.name, false); // get hparams kv - GGUF_GET_KEY(ctx, hparams.n_vocab, gguf_get_arr_n, GGUF_TYPE_ARRAY, true, kv(LLM_KV_TOKENIZER_LIST)); - GGUF_GET_KEY(ctx, hparams.n_ctx_train, gguf_get_val_u32, GGUF_TYPE_UINT32, true, kv(LLM_KV_CONTEXT_LENGTH)); - GGUF_GET_KEY(ctx, hparams.n_embd, gguf_get_val_u32, GGUF_TYPE_UINT32, true, kv(LLM_KV_EMBEDDING_LENGTH)); - GGUF_GET_KEY(ctx, hparams.n_ff, gguf_get_val_u32, GGUF_TYPE_UINT32, true, kv(LLM_KV_FEED_FORWARD_LENGTH)); - GGUF_GET_KEY(ctx, hparams.n_head, gguf_get_val_u32, GGUF_TYPE_UINT32, true, kv(LLM_KV_ATTENTION_HEAD_COUNT)); - GGUF_GET_KEY(ctx, hparams.n_layer, gguf_get_val_u32, GGUF_TYPE_UINT32, true, kv(LLM_KV_BLOCK_COUNT)); + ml.get_arr_n(LLM_KV_TOKENIZER_LIST, hparams.n_vocab); + ml.get_key (LLM_KV_CONTEXT_LENGTH, hparams.n_ctx_train); + ml.get_key (LLM_KV_EMBEDDING_LENGTH, hparams.n_embd); + ml.get_key (LLM_KV_FEED_FORWARD_LENGTH, hparams.n_ff); + ml.get_key (LLM_KV_ATTENTION_HEAD_COUNT, hparams.n_head); + ml.get_key (LLM_KV_BLOCK_COUNT, hparams.n_layer); + ml.get_key (LLM_KV_EXPERT_COUNT, hparams.n_expert, false); + ml.get_key (LLM_KV_EXPERT_USED_COUNT, hparams.n_expert_used, false); + + GGML_ASSERT(hparams.n_expert <= LLAMA_MAX_EXPERTS); + GGML_ASSERT(hparams.n_expert_used <= hparams.n_expert); + if (hparams.n_expert > 0) { + GGML_ASSERT(hparams.n_expert_used > 0); + } else { + GGML_ASSERT(hparams.n_expert_used == 0); + } // n_head_kv is optional, default to n_head hparams.n_head_kv = hparams.n_head; - GGUF_GET_KEY(ctx, hparams.n_head_kv, gguf_get_val_u32, GGUF_TYPE_UINT32, false, kv(LLM_KV_ATTENTION_HEAD_COUNT_KV)); + ml.get_key(LLM_KV_ATTENTION_HEAD_COUNT_KV, hparams.n_head_kv, false); - hparams.rope_finetuned = false; - GGUF_GET_KEY(ctx, hparams.rope_finetuned, gguf_get_val_bool, GGUF_TYPE_BOOL, false, - kv(LLM_KV_ROPE_SCALING_FINETUNED)); + bool rope_finetuned = false; + ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false); + hparams.rope_finetuned = rope_finetuned; hparams.n_yarn_orig_ctx = hparams.n_ctx_train; - GGUF_GET_KEY(ctx, hparams.n_yarn_orig_ctx, gguf_get_val_u32, GGUF_TYPE_UINT32, false, - kv(LLM_KV_ROPE_SCALING_ORIG_CTX_LEN)); + ml.get_key(LLM_KV_ROPE_SCALING_ORIG_CTX_LEN, hparams.n_yarn_orig_ctx, false); // rope_freq_base (optional) hparams.rope_freq_base_train = 10000.0f; - GGUF_GET_KEY(ctx, hparams.rope_freq_base_train, gguf_get_val_f32, GGUF_TYPE_FLOAT32, false, kv(LLM_KV_ROPE_FREQ_BASE)); + ml.get_key(LLM_KV_ROPE_FREQ_BASE, hparams.rope_freq_base_train, false); std::string rope_scaling("linear"); - GGUF_GET_KEY(ctx, rope_scaling, gguf_get_val_str, GGUF_TYPE_STRING, false, kv(LLM_KV_ROPE_SCALING_TYPE)); + ml.get_key(LLM_KV_ROPE_SCALING_TYPE, rope_scaling, false); hparams.rope_scaling_type_train = llama_rope_scaling_type_from_string(rope_scaling); GGML_ASSERT(hparams.rope_scaling_type_train != LLAMA_ROPE_SCALING_UNSPECIFIED); // rope_freq_scale (inverse of the kv) is optional float ropescale = 0.0f; - GGUF_GET_KEY(ctx, ropescale, gguf_get_val_f32, GGUF_TYPE_FLOAT32, false, kv(LLM_KV_ROPE_SCALING_FACTOR)); - if (ropescale == 0.0f) { // try the old key name - GGUF_GET_KEY(ctx, ropescale, gguf_get_val_f32, GGUF_TYPE_FLOAT32, false, kv(LLM_KV_ROPE_SCALE_LINEAR)); + if (!ml.get_key(LLM_KV_ROPE_SCALING_FACTOR, ropescale, false)) { + // try the old key name + ml.get_key(LLM_KV_ROPE_SCALE_LINEAR, ropescale, false); } hparams.rope_freq_scale_train = ropescale == 0.0f ? 1.0f : 1.0f/ropescale; @@ -2087,7 +2614,7 @@ static void llm_load_hparams( { hparams.n_rot = hparams.n_embd / hparams.n_head; - GGUF_GET_KEY(ctx, hparams.n_rot, gguf_get_val_u32, GGUF_TYPE_UINT32, false, kv(LLM_KV_ROPE_DIMENSION_COUNT)); + ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT, hparams.n_rot, false); if (model.arch == LLM_ARCH_LLAMA || model.arch == LLM_ARCH_FALCON) { if (hparams.n_rot != hparams.n_embd / hparams.n_head) { @@ -2102,9 +2629,10 @@ static void llm_load_hparams( switch (model.arch) { case LLM_ARCH_LLAMA: { - GGUF_GET_KEY(ctx, hparams.f_norm_rms_eps, gguf_get_val_f32, GGUF_TYPE_FLOAT32, true, kv(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS)); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); switch (hparams.n_layer) { + case 22: model.type = e_model::MODEL_1B; break; case 26: model.type = e_model::MODEL_3B; break; case 32: model.type = e_model::MODEL_7B; break; case 40: model.type = e_model::MODEL_13B; break; @@ -2116,7 +2644,7 @@ static void llm_load_hparams( } break; case LLM_ARCH_FALCON: { - GGUF_GET_KEY(ctx, hparams.f_norm_eps, gguf_get_val_f32, GGUF_TYPE_FLOAT32, true, kv(LLM_KV_ATTENTION_LAYERNORM_EPS)); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); switch (hparams.n_layer) { case 32: model.type = e_model::MODEL_7B; break; @@ -2126,7 +2654,7 @@ static void llm_load_hparams( } break; case LLM_ARCH_BAICHUAN: { - GGUF_GET_KEY(ctx, hparams.f_norm_rms_eps, gguf_get_val_f32, GGUF_TYPE_FLOAT32, true, kv(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS)); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); switch (hparams.n_layer) { case 32: model.type = e_model::MODEL_7B; break; case 40: model.type = e_model::MODEL_13B; break; @@ -2135,7 +2663,7 @@ static void llm_load_hparams( } break; case LLM_ARCH_STARCODER: { - GGUF_GET_KEY(ctx, hparams.f_norm_eps, gguf_get_val_f32, GGUF_TYPE_FLOAT32, true, kv(LLM_KV_ATTENTION_LAYERNORM_EPS)); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); switch (hparams.n_layer) { case 24: model.type = e_model::MODEL_1B; break; case 36: model.type = e_model::MODEL_3B; break; @@ -2146,7 +2674,7 @@ static void llm_load_hparams( } break; case LLM_ARCH_PERSIMMON: { - GGUF_GET_KEY(ctx, hparams.f_norm_eps, gguf_get_val_f32, GGUF_TYPE_FLOAT32, true, kv(LLM_KV_ATTENTION_LAYERNORM_EPS)); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); switch (hparams.n_layer) { case 36: model.type = e_model::MODEL_8B; break; default: model.type = e_model::MODEL_UNKNOWN; @@ -2154,7 +2682,7 @@ static void llm_load_hparams( } break; case LLM_ARCH_REFACT: { - GGUF_GET_KEY(ctx, hparams.f_norm_rms_eps, gguf_get_val_f32, GGUF_TYPE_FLOAT32, true, kv(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS)); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); switch (hparams.n_layer) { case 32: model.type = e_model::MODEL_1B; break; default: model.type = e_model::MODEL_UNKNOWN; @@ -2162,7 +2690,7 @@ static void llm_load_hparams( } break; case LLM_ARCH_BLOOM: { - GGUF_GET_KEY(ctx, hparams.f_norm_eps, gguf_get_val_f32, GGUF_TYPE_FLOAT32, true, kv(LLM_KV_ATTENTION_LAYERNORM_EPS)); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); switch (hparams.n_layer) { case 24: model.type = e_model::MODEL_1B; break; @@ -2177,9 +2705,9 @@ static void llm_load_hparams( { hparams.f_clamp_kqv = 0.0f; - GGUF_GET_KEY(ctx, hparams.f_norm_eps, gguf_get_val_f32, GGUF_TYPE_FLOAT32, true, kv(LLM_KV_ATTENTION_LAYERNORM_EPS)); - GGUF_GET_KEY(ctx, hparams.f_clamp_kqv, gguf_get_val_f32, GGUF_TYPE_FLOAT32, false, kv(LLM_KV_ATTENTION_CLAMP_KQV)); - GGUF_GET_KEY(ctx, hparams.f_max_alibi_bias, gguf_get_val_f32, GGUF_TYPE_FLOAT32, true, kv(LLM_KV_ATTENTION_MAX_ALIBI_BIAS)); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv, false); + ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias); switch (hparams.n_layer) { case 32: model.type = e_model::MODEL_7B; break; @@ -2187,6 +2715,35 @@ static void llm_load_hparams( default: model.type = e_model::MODEL_UNKNOWN; } } break; + case LLM_ARCH_STABLELM: + { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 32: model.type = e_model::MODEL_3B; break; + default: model.type = e_model::MODEL_UNKNOWN; + } + } break; + case LLM_ARCH_QWEN: + { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); + + switch (hparams.n_layer) { + case 32: model.type = e_model::MODEL_7B; break; + case 40: model.type = e_model::MODEL_13B; break; + default: model.type = e_model::MODEL_UNKNOWN; + } + } break; + case LLM_ARCH_PHI2: + { + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); + + switch (hparams.n_layer) { + case 32: model.type = e_model::MODEL_3B; break; + default: model.type = e_model::MODEL_UNKNOWN; + } + } break; + default: (void)0; } @@ -2227,7 +2784,7 @@ static void llm_load_vocab( { std::string tokenizer_name; - GGUF_GET_KEY(ctx, tokenizer_name, gguf_get_val_str, GGUF_TYPE_STRING, true, kv(LLM_KV_TOKENIZER_MODEL)); + ml.get_key(LLM_KV_TOKENIZER_MODEL, tokenizer_name); if (tokenizer_name == "llama") { vocab.type = LLAMA_VOCAB_TYPE_SPM; @@ -2317,16 +2874,30 @@ static void llm_load_vocab( }; for (const auto & it : special_token_types) { const std::string & key = kv(std::get<0>(it)); - int32_t & id = std::get<1>(it), old_id = id; + int32_t & id = std::get<1>(it); - GGUF_GET_KEY(ctx, id, gguf_get_val_u32, GGUF_TYPE_UINT32, false, key); - // Must be >= -1 and < vocab size. Since the key is unsigned, -1 - // can only come from the default value, so there's no point in - // validating that. - if (size_t(id + 1) > vocab.id_to_token.size()) { - LLAMA_LOG_WARN("%s: bad special token: '%s' = %d, using default id %d\n", - __func__, key.c_str(), id, old_id); - id = old_id; + uint32_t new_id; + if (!ml.get_key(std::get<0>(it), new_id, false)) { + continue; + } + if (new_id >= vocab.id_to_token.size()) { + LLAMA_LOG_WARN("%s: bad special token: '%s' = %ud, using default id %d\n", + __func__, key.c_str(), new_id, id); + } else { + id = new_id; + } + + } + + // Handle add_bos_token and add_eos_token + { + bool temp = true; + + if (ml.get_key(LLM_KV_TOKENIZER_ADD_BOS, temp, false)) { + vocab.special_add_bos = int(temp); + } + if (ml.get_key(LLM_KV_TOKENIZER_ADD_EOS, temp, false)) { + vocab.special_add_eos = int(temp); } } } @@ -2338,7 +2909,7 @@ static void llm_load_vocab( // The assumption is, since special tokens aren't meant to be exposed to end user, they are designed // to be unmatchable by the tokenizer, therefore tokens from the vocab, which are unmatchable by the tokenizer // are special tokens. - // From testing, this appears to corelate 1:1 with special tokens. + // From testing, this appears to correlate 1:1 with special tokens. // // Counting special tokens and verifying in only one direction @@ -2451,6 +3022,8 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) { LLAMA_LOG_INFO("%s: f_clamp_kqv = %.1e\n", __func__, hparams.f_clamp_kqv); LLAMA_LOG_INFO("%s: f_max_alibi_bias = %.1e\n", __func__, hparams.f_max_alibi_bias); LLAMA_LOG_INFO("%s: n_ff = %u\n", __func__, hparams.n_ff); + LLAMA_LOG_INFO("%s: n_expert = %u\n", __func__, hparams.n_expert); + LLAMA_LOG_INFO("%s: n_expert_used = %u\n", __func__, hparams.n_expert_used); LLAMA_LOG_INFO("%s: rope scaling = %s\n", __func__, rope_scaling_type.c_str()); LLAMA_LOG_INFO("%s: freq_base_train = %.1f\n", __func__, hparams.rope_freq_base_train); LLAMA_LOG_INFO("%s: freq_scale_train = %g\n", __func__, hparams.rope_freq_scale_train); @@ -2459,25 +3032,26 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) { LLAMA_LOG_INFO("%s: model type = %s\n", __func__, llama_model_type_name(model.type)); LLAMA_LOG_INFO("%s: model ftype = %s\n", __func__, llama_model_ftype_name(model.ftype).c_str()); LLAMA_LOG_INFO("%s: model params = %.2f B\n", __func__, ml.n_elements*1e-9); - if (ml.n_bytes < GB) { - LLAMA_LOG_INFO("%s: model size = %.2f MiB (%.2f BPW) \n", __func__, ml.n_bytes/1024.0/1024.0, ml.n_bytes*8.0/ml.n_elements); + if (ml.n_bytes < GiB) { + LLAMA_LOG_INFO("%s: model size = %.2f MiB (%.2f BPW) \n", __func__, ml.n_bytes/1024.0/1024.0, ml.n_bytes*8.0/ml.n_elements); } else { LLAMA_LOG_INFO("%s: model size = %.2f GiB (%.2f BPW) \n", __func__, ml.n_bytes/1024.0/1024.0/1024.0, ml.n_bytes*8.0/ml.n_elements); } // general kv - LLAMA_LOG_INFO("%s: general.name = %s\n", __func__, model.name.c_str()); + LLAMA_LOG_INFO("%s: general.name = %s\n", __func__, model.name.c_str()); // special tokens - if (vocab.special_bos_id != -1) { LLAMA_LOG_INFO( "%s: BOS token = %d '%s'\n", __func__, vocab.special_bos_id, vocab.id_to_token[vocab.special_bos_id].text.c_str() ); } - if (vocab.special_eos_id != -1) { LLAMA_LOG_INFO( "%s: EOS token = %d '%s'\n", __func__, vocab.special_eos_id, vocab.id_to_token[vocab.special_eos_id].text.c_str() ); } - if (vocab.special_unk_id != -1) { LLAMA_LOG_INFO( "%s: UNK token = %d '%s'\n", __func__, vocab.special_unk_id, vocab.id_to_token[vocab.special_unk_id].text.c_str() ); } - if (vocab.special_sep_id != -1) { LLAMA_LOG_INFO( "%s: SEP token = %d '%s'\n", __func__, vocab.special_sep_id, vocab.id_to_token[vocab.special_sep_id].text.c_str() ); } - if (vocab.special_pad_id != -1) { LLAMA_LOG_INFO( "%s: PAD token = %d '%s'\n", __func__, vocab.special_pad_id, vocab.id_to_token[vocab.special_pad_id].text.c_str() ); } - if (vocab.linefeed_id != -1) { LLAMA_LOG_INFO( "%s: LF token = %d '%s'\n", __func__, vocab.linefeed_id, vocab.id_to_token[vocab.linefeed_id].text.c_str() ); } + if (vocab.special_bos_id != -1) { LLAMA_LOG_INFO( "%s: BOS token = %d '%s'\n", __func__, vocab.special_bos_id, vocab.id_to_token[vocab.special_bos_id].text.c_str() ); } + if (vocab.special_eos_id != -1) { LLAMA_LOG_INFO( "%s: EOS token = %d '%s'\n", __func__, vocab.special_eos_id, vocab.id_to_token[vocab.special_eos_id].text.c_str() ); } + if (vocab.special_unk_id != -1) { LLAMA_LOG_INFO( "%s: UNK token = %d '%s'\n", __func__, vocab.special_unk_id, vocab.id_to_token[vocab.special_unk_id].text.c_str() ); } + if (vocab.special_sep_id != -1) { LLAMA_LOG_INFO( "%s: SEP token = %d '%s'\n", __func__, vocab.special_sep_id, vocab.id_to_token[vocab.special_sep_id].text.c_str() ); } + if (vocab.special_pad_id != -1) { LLAMA_LOG_INFO( "%s: PAD token = %d '%s'\n", __func__, vocab.special_pad_id, vocab.id_to_token[vocab.special_pad_id].text.c_str() ); } + if (vocab.linefeed_id != -1) { LLAMA_LOG_INFO( "%s: LF token = %d '%s'\n", __func__, vocab.linefeed_id, vocab.id_to_token[vocab.linefeed_id].text.c_str() ); } } -static void llm_load_tensors( +// Returns false if cancelled by progress_callback +static bool llm_load_tensors( llama_model_loader & ml, llama_model & model, int n_gpu_layers, @@ -2493,25 +3067,16 @@ static void llm_load_tensors( model.n_gpu_layers = n_gpu_layers; - size_t ctx_size; - size_t mmapped_size; + size_t ctx_size = ggml_tensor_overhead() * ml.n_tensors; - ml.calc_sizes(ctx_size, mmapped_size); - - LLAMA_LOG_INFO("%s: ggml ctx size = %7.2f MB\n", __func__, ctx_size/1024.0/1024.0); + LLAMA_LOG_INFO("%s: ggml ctx size = %7.2f MiB\n", __func__, ctx_size/1024.0/1024.0); // create the ggml context { - model.buf.resize(ctx_size); - if (use_mlock) { - model.mlock_buf.init (model.buf.data); - model.mlock_buf.grow_to(model.buf.size); - } - struct ggml_init_params params = { - /*.mem_size =*/ model.buf.size, - /*.mem_buffer =*/ model.buf.data, - /*.no_alloc =*/ ml.use_mmap, + /*.mem_size =*/ ctx_size, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, }; model.ctx = ggml_init(params); @@ -2521,22 +3086,25 @@ static void llm_load_tensors( } (void) main_gpu; -#ifdef GGML_USE_CUBLAS - LLAMA_LOG_INFO("%s: using " GGML_CUDA_NAME " for GPU acceleration\n", __func__); - ggml_cuda_set_main_device(main_gpu); -#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_GPU -#define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_GPU_SPLIT + + enum ggml_backend_type llama_backend_offload = GGML_BACKEND_CPU; + enum ggml_backend_type llama_backend_offload_split = GGML_BACKEND_CPU; + +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) + if (ggml_cublas_loaded()) { + LLAMA_LOG_INFO("%s: using " GGML_CUDA_NAME " for GPU acceleration\n", __func__); + ggml_cuda_set_main_device(main_gpu); + + llama_backend_offload = GGML_BACKEND_GPU; + llama_backend_offload_split = GGML_BACKEND_GPU_SPLIT; + } #elif defined(GGML_USE_CLBLAST) - LLAMA_LOG_INFO("%s: using OpenCL for GPU acceleration\n", __func__); -#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_GPU -#define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_GPU -#else -#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_CPU -#define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_CPU + LLAMA_LOG_INFO("%s: using OpenCL for GPU acceleration\n", __func__); + llama_backend_offload = GGML_BACKEND_GPU; + llama_backend_offload_split = GGML_BACKEND_GPU; #endif - // prepare memory for the weights - size_t vram_weights = 0; + // create tensors for the weights { const int64_t n_embd = hparams.n_embd; const int64_t n_embd_gqa = hparams.n_embd_gqa(); @@ -2556,15 +3124,8 @@ static void llm_load_tensors( ggml_backend_type backend_output; if (n_gpu_layers > int(n_layer)) { - // norm is not performance relevant on its own but keeping it in VRAM reduces data copying - // on Windows however this is detrimental unless everything is on the GPU -#ifndef _WIN32 - backend_norm = LLAMA_BACKEND_OFFLOAD; -#else - backend_norm = n_gpu_layers <= (int) n_layer + 2 ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; -#endif // _WIN32 - - backend_output = LLAMA_BACKEND_OFFLOAD_SPLIT; + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload_split; } else { backend_norm = GGML_BACKEND_CPU; backend_output = GGML_BACKEND_CPU; @@ -2572,13 +3133,6 @@ static void llm_load_tensors( model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); - - if (backend_norm == GGML_BACKEND_GPU) { - vram_weights += ggml_nbytes(model.output_norm); - } - if (backend_output == GGML_BACKEND_GPU_SPLIT) { - vram_weights += ggml_nbytes(model.output); - } } const uint32_t n_ff = hparams.n_ff; @@ -2588,8 +3142,8 @@ static void llm_load_tensors( model.layers.resize(n_layer); for (uint32_t i = 0; i < n_layer; ++i) { - const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; // NOLINT - const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD_SPLIT; // NOLINT + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; // NOLINT + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; // NOLINT auto & layer = model.layers[i]; @@ -2600,17 +3154,33 @@ static void llm_load_tensors( layer.wv = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, backend_split); layer.wo = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, backend_split); + // optional bias tensors + layer.bq = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, backend, false); + layer.bk = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd_gqa}, backend, false); + layer.bv = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd_gqa}, backend, false); + layer.bo = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, backend, false); + layer.ffn_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, backend); - layer.ffn_gate = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, backend_split); - layer.ffn_down = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, backend_split); - layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); + layer.ffn_gate_inp = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd}, backend, false); - if (backend == GGML_BACKEND_GPU) { - vram_weights += - ggml_nbytes(layer.attn_norm) + ggml_nbytes(layer.wq) + ggml_nbytes(layer.wk) + - ggml_nbytes(layer.wv) + ggml_nbytes(layer.wo) + ggml_nbytes(layer.ffn_norm) + - ggml_nbytes(layer.ffn_gate) + ggml_nbytes(layer.ffn_down) + ggml_nbytes(layer.ffn_up); + if (layer.ffn_gate_inp == nullptr) { + GGML_ASSERT(hparams.n_expert == 0); + GGML_ASSERT(hparams.n_expert_used == 0); + + layer.ffn_gate = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, backend_split); + layer.ffn_down = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, backend_split); + layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); + } else { + GGML_ASSERT(hparams.n_expert > 0); + GGML_ASSERT(hparams.n_expert_used > 0); + + // MoE branch + for (uint32_t x = 0; x < hparams.n_expert; ++x) { + layer.ffn_gate_exp[x] = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_GATE_EXP, "weight", i, x), {n_embd, n_ff}, backend_split); + layer.ffn_down_exp[x] = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN_EXP, "weight", i, x), { n_ff, n_embd}, backend_split); + layer.ffn_up_exp[x] = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP_EXP, "weight", i, x), {n_embd, n_ff}, backend_split); + } } } } break; @@ -2622,15 +3192,8 @@ static void llm_load_tensors( ggml_backend_type backend_output; if (n_gpu_layers > int(n_layer)) { - // norm is not performance relevant on its own but keeping it in VRAM reduces data copying - // on Windows however this is detrimental unless everything is on the GPU -#ifndef _WIN32 - backend_norm = LLAMA_BACKEND_OFFLOAD; -#else - backend_norm = n_gpu_layers <= (int) n_layer + 2 ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; -#endif // _WIN32 - - backend_output = LLAMA_BACKEND_OFFLOAD_SPLIT; + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload_split; } else { backend_norm = GGML_BACKEND_CPU; backend_output = GGML_BACKEND_CPU; @@ -2638,13 +3201,6 @@ static void llm_load_tensors( model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); - - if (backend_norm == GGML_BACKEND_GPU) { - vram_weights += ggml_nbytes(model.output_norm); - } - if (backend_output == GGML_BACKEND_GPU_SPLIT) { - vram_weights += ggml_nbytes(model.output); - } } const uint32_t n_ff = hparams.n_ff; @@ -2654,8 +3210,8 @@ static void llm_load_tensors( model.layers.resize(n_layer); for (uint32_t i = 0; i < n_layer; ++i) { - const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; // NOLINT - const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD_SPLIT; // NOLINT + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; // NOLINT + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; // NOLINT auto & layer = model.layers[i]; @@ -2671,19 +3227,10 @@ static void llm_load_tensors( layer.ffn_gate = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, backend_split); layer.ffn_down = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, backend_split); layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); - - if (backend == GGML_BACKEND_GPU) { - vram_weights += - ggml_nbytes(layer.attn_norm) + ggml_nbytes(layer.wq) + ggml_nbytes(layer.wk) + - ggml_nbytes(layer.wv) + ggml_nbytes(layer.wo) + ggml_nbytes(layer.ffn_norm) + - ggml_nbytes(layer.ffn_gate) + ggml_nbytes(layer.ffn_down) + ggml_nbytes(layer.ffn_up); - } } } break; case LLM_ARCH_FALCON: { - // TODO: CPU-only for now - model.tok_embd = ml.create_tensor(ctx, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, GGML_BACKEND_CPU); // output @@ -2692,15 +3239,8 @@ static void llm_load_tensors( ggml_backend_type backend_output; if (n_gpu_layers > int(n_layer)) { - // norm is not performance relevant on its own but keeping it in VRAM reduces data copying - // on Windows however this is detrimental unless everything is on the GPU -#ifndef _WIN32 - backend_norm = LLAMA_BACKEND_OFFLOAD; -#else - backend_norm = n_gpu_layers <= (int) n_layer + 2 ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; -#endif // _WIN32 - - backend_output = LLAMA_BACKEND_OFFLOAD_SPLIT; + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload_split; } else { backend_norm = GGML_BACKEND_CPU; backend_output = GGML_BACKEND_CPU; @@ -2709,14 +3249,6 @@ static void llm_load_tensors( model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); model.output_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, backend_norm); model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); - - if (backend_norm == GGML_BACKEND_GPU) { - vram_weights += ggml_nbytes(model.output_norm); - vram_weights += ggml_nbytes(model.output_norm_b); - } - if (backend_output == GGML_BACKEND_GPU_SPLIT) { - vram_weights += ggml_nbytes(model.output); - } } const uint32_t n_ff = hparams.n_ff; @@ -2726,8 +3258,8 @@ static void llm_load_tensors( model.layers.resize(n_layer); for (uint32_t i = 0; i < n_layer; ++i) { - const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; // NOLINT - const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD_SPLIT; // NOLINT + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; // NOLINT + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; // NOLINT auto & layer = model.layers[i]; @@ -2737,11 +3269,6 @@ static void llm_load_tensors( if (gguf_find_tensor(ml.ctx_gguf, tn(LLM_TENSOR_ATTN_NORM_2, "weight", i).c_str()) >= 0) { layer.attn_norm_2 = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, backend); layer.attn_norm_2_b = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_NORM_2, "bias", i), {n_embd}, backend); - - if (backend == GGML_BACKEND_GPU) { - vram_weights += ggml_nbytes(layer.attn_norm_2); - vram_weights += ggml_nbytes(layer.attn_norm_2_b); - } } layer.wqkv = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, backend_split); @@ -2749,13 +3276,6 @@ static void llm_load_tensors( layer.ffn_down = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, backend_split); layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); - - if (backend == GGML_BACKEND_GPU) { - vram_weights += - ggml_nbytes(layer.attn_norm) + ggml_nbytes(layer.attn_norm_b) + - ggml_nbytes(layer.wqkv) + ggml_nbytes(layer.wo) + - ggml_nbytes(layer.ffn_down) + ggml_nbytes(layer.ffn_up); - } } } break; case LLM_ARCH_STARCODER: @@ -2769,15 +3289,8 @@ static void llm_load_tensors( ggml_backend_type backend_output; if (n_gpu_layers > int(n_layer)) { - // norm is not performance relevant on its own but keeping it in VRAM reduces data copying - // on Windows however this is detrimental unless everything is on the GPU -#ifndef _WIN32 - backend_norm = LLAMA_BACKEND_OFFLOAD; -#else - backend_norm = n_gpu_layers <= (int) n_layer + 2 ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; -#endif // _WIN32 - - backend_output = LLAMA_BACKEND_OFFLOAD_SPLIT; + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload_split; } else { backend_norm = GGML_BACKEND_CPU; backend_output = GGML_BACKEND_CPU; @@ -2786,14 +3299,6 @@ static void llm_load_tensors( model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); model.output_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, backend_norm); model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); - - if (backend_norm == GGML_BACKEND_GPU) { - vram_weights += ggml_nbytes(model.output_norm); - vram_weights += ggml_nbytes(model.output_norm_b); - } - if (backend_output == GGML_BACKEND_GPU_SPLIT) { - vram_weights += ggml_nbytes(model.output); - } } const uint32_t n_ff = hparams.n_ff; @@ -2803,8 +3308,8 @@ static void llm_load_tensors( model.layers.resize(n_layer); for (uint32_t i = 0; i < n_layer; ++i) { - const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; // NOLINT - const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD_SPLIT; // NOLINT + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; // NOLINT + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; // NOLINT auto & layer = model.layers[i]; @@ -2825,16 +3330,6 @@ static void llm_load_tensors( layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); layer.ffn_up_b = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, backend); - - if (backend == GGML_BACKEND_GPU) { - vram_weights += - ggml_nbytes(layer.attn_norm) + ggml_nbytes(layer.attn_norm_b) + - ggml_nbytes(layer.wqkv) + ggml_nbytes(layer.bqkv) + - ggml_nbytes(layer.wo) + ggml_nbytes(layer.bo) + - ggml_nbytes(layer.ffn_norm) + ggml_nbytes(layer.ffn_norm_b) + - ggml_nbytes(layer.ffn_down) + ggml_nbytes(layer.ffn_down_b) + - ggml_nbytes(layer.ffn_up) + ggml_nbytes(layer.ffn_up_b); - } } } break; case LLM_ARCH_PERSIMMON: @@ -2846,15 +3341,8 @@ static void llm_load_tensors( ggml_backend_type backend_output; if (n_gpu_layers > int(n_layer)) { - // norm is not performance relevant on its own but keeping it in VRAM reduces data copying - // on Windows however this is detrimental unless everything is on the GPU -#ifndef _WIN32 - backend_norm = LLAMA_BACKEND_OFFLOAD; -#else - backend_norm = n_gpu_layers <= (int) n_layer + 2 ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; -#endif // _WIN32 - - backend_output = LLAMA_BACKEND_OFFLOAD_SPLIT; + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload_split; } else { backend_norm = GGML_BACKEND_CPU; backend_output = GGML_BACKEND_CPU; @@ -2863,22 +3351,14 @@ static void llm_load_tensors( model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); model.output_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, backend_norm); model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); - - if (backend_norm == GGML_BACKEND_GPU) { - vram_weights += ggml_nbytes(model.output_norm); - vram_weights += ggml_nbytes(model.output_norm_b); - } - if (backend_output == GGML_BACKEND_GPU_SPLIT) { - vram_weights += ggml_nbytes(model.output); - } } const uint32_t n_ff = hparams.n_ff; const int i_gpu_start = n_layer - n_gpu_layers; model.layers.resize(n_layer); for (uint32_t i = 0; i < n_layer; ++i) { - const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; - const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD_SPLIT; + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; auto & layer = model.layers[i]; layer.attn_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, backend); layer.attn_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, backend); @@ -2900,8 +3380,6 @@ static void llm_load_tensors( } break; case LLM_ARCH_BLOOM: { - // TODO: CPU-only for now - model.tok_embd = ml.create_tensor(ctx, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, GGML_BACKEND_CPU); model.tok_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight"), {n_embd}, GGML_BACKEND_CPU); model.tok_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias"), {n_embd}, GGML_BACKEND_CPU); @@ -2912,15 +3390,8 @@ static void llm_load_tensors( ggml_backend_type backend_output; if (n_gpu_layers > int(n_layer)) { - // norm is not performance relevant on its own but keeping it in VRAM reduces data copying - // on Windows however this is detrimental unless everything is on the GPU -#ifndef _WIN32 - backend_norm = LLAMA_BACKEND_OFFLOAD; -#else - backend_norm = n_gpu_layers <= (int) n_layer + 2 ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; -#endif // _WIN32 - - backend_output = LLAMA_BACKEND_OFFLOAD_SPLIT; + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload_split; } else { backend_norm = GGML_BACKEND_CPU; backend_output = GGML_BACKEND_CPU; @@ -2929,14 +3400,6 @@ static void llm_load_tensors( model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); model.output_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, backend_norm); model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); - - if (backend_norm == GGML_BACKEND_GPU) { - vram_weights += ggml_nbytes(model.output_norm); - vram_weights += ggml_nbytes(model.output_norm_b); - } - if (backend_output == GGML_BACKEND_GPU_SPLIT) { - vram_weights += ggml_nbytes(model.output); - } } const uint32_t n_ff = hparams.n_ff; @@ -2946,8 +3409,8 @@ static void llm_load_tensors( model.layers.resize(n_layer); for (uint32_t i = 0; i < n_layer; ++i) { - const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; // NOLINT - const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD_SPLIT; // NOLINT + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; // NOLINT + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; // NOLINT auto & layer = model.layers[i]; @@ -2968,16 +3431,6 @@ static void llm_load_tensors( layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); layer.ffn_up_b = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, backend); - - if (backend == GGML_BACKEND_GPU) { - vram_weights += - ggml_nbytes(layer.attn_norm) + ggml_nbytes(layer.attn_norm_b) + - ggml_nbytes(layer.wqkv) + ggml_nbytes(layer.bqkv) + - ggml_nbytes(layer.wo) + ggml_nbytes(layer.bo) + - ggml_nbytes(layer.ffn_norm) + ggml_nbytes(layer.ffn_norm_b) + - ggml_nbytes(layer.ffn_up) + ggml_nbytes(layer.ffn_up_b) + - ggml_nbytes(layer.ffn_down) + ggml_nbytes(layer.ffn_down_b); - } } } break; case LLM_ARCH_MPT: @@ -2990,15 +3443,8 @@ static void llm_load_tensors( ggml_backend_type backend_output; if (n_gpu_layers > int(n_layer)) { - // norm is not performance relevant on its own but keeping it in VRAM reduces data copying - // on Windows however this is detrimental unless everything is on the GPU -#ifndef _WIN32 - backend_norm = LLAMA_BACKEND_OFFLOAD; -#else - backend_norm = n_gpu_layers <= (int) n_layer + 2 ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; -#endif // _WIN32 - - backend_output = LLAMA_BACKEND_OFFLOAD_SPLIT; + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload_split; } else { backend_norm = GGML_BACKEND_CPU; backend_output = GGML_BACKEND_CPU; @@ -3006,13 +3452,6 @@ static void llm_load_tensors( model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); - - if (backend_norm == GGML_BACKEND_GPU) { - vram_weights += ggml_nbytes(model.output_norm); - } - if (backend_output == GGML_BACKEND_GPU_SPLIT) { - vram_weights += ggml_nbytes(model.output); - } } const uint32_t n_ff = hparams.n_ff; @@ -3022,8 +3461,8 @@ static void llm_load_tensors( model.layers.resize(n_layer); for (uint32_t i = 0; i < n_layer; ++i) { - const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD; // NOLINT - const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : LLAMA_BACKEND_OFFLOAD_SPLIT; // NOLINT + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; // NOLINT + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; // NOLINT auto & layer = model.layers[i]; @@ -3035,94 +3474,285 @@ static void llm_load_tensors( layer.ffn_down = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, backend_split); layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); - - if (backend == GGML_BACKEND_GPU) { - vram_weights += - ggml_nbytes(layer.attn_norm) + - ggml_nbytes(layer.wqkv) + - ggml_nbytes(layer.wo) + - ggml_nbytes(layer.ffn_norm) + - ggml_nbytes(layer.ffn_down) + - ggml_nbytes(layer.ffn_up); - } } } break; - default: - throw std::runtime_error("unknown architecture"); - } - } + case LLM_ARCH_STABLELM: + { + model.tok_embd = ml.create_tensor(ctx, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, GGML_BACKEND_CPU); - ml.done_getting_tensors(); + // output + { + ggml_backend_type backend_norm; + ggml_backend_type backend_output; - // print memory requirements - { - // this is the total memory required to run the inference - size_t mem_required = - ctx_size + - mmapped_size - vram_weights; // weights in VRAM not in memory + if (n_gpu_layers > int(n_layer)) { + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload_split; + } else { + backend_norm = GGML_BACKEND_CPU; + backend_output = GGML_BACKEND_CPU; + } - LLAMA_LOG_INFO("%s: mem required = %7.2f MB\n", __func__, mem_required / 1024.0 / 1024.0); + model.output_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, backend_norm); + model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); + model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); + } -#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) - const int n_gpu = std::min(n_gpu_layers, int(hparams.n_layer)); + const uint32_t n_ff = hparams.n_ff; - LLAMA_LOG_INFO("%s: offloading %d repeating layers to GPU\n", __func__, n_gpu); - if (n_gpu_layers > (int) hparams.n_layer) { - LLAMA_LOG_INFO("%s: offloading non-repeating layers to GPU\n", __func__); - } + const int i_gpu_start = n_layer - n_gpu_layers; -#ifdef GGML_USE_CUBLAS - const int max_backend_supported_layers = hparams.n_layer + 3; - const int max_offloadable_layers = hparams.n_layer + 3; -#elif GGML_USE_CLBLAST - const int max_backend_supported_layers = hparams.n_layer + 1; - const int max_offloadable_layers = hparams.n_layer + 1; -#endif // GGML_USE_CUBLAS + model.layers.resize(n_layer); - LLAMA_LOG_INFO("%s: offloaded %d/%d layers to GPU\n", __func__, std::min(n_gpu_layers, max_offloadable_layers), max_backend_supported_layers); - LLAMA_LOG_INFO("%s: VRAM used: %.2f MB\n", __func__, vram_weights / 1024.0 / 1024.0); -#else - (void) n_gpu_layers; -#endif // defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) - } + for (uint32_t i = 0; i < n_layer; ++i) { + /* + llama_model_loader: - tensor 4: blk.0.attn_output.weight f16 [ 2560, 2560, 1, 1 ] + */ + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; // NOLINT + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; // NOLINT - // populate `tensors_by_name` - for (int i = 0; i < ml.n_tensors; ++i) { - struct ggml_tensor * cur = ggml_get_tensor(ctx, ml.get_tensor_name(i)); - model.tensors_by_name.emplace_back(ggml_get_name(cur), cur); - } + auto & layer = model.layers[i]; - (void) tensor_split; -#ifdef GGML_USE_CUBLAS - { - ggml_cuda_set_tensor_split(tensor_split); - } -#endif + layer.attn_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, backend); + layer.attn_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, backend); - ml.load_all_data(ctx, progress_callback, progress_callback_user_data, use_mlock ? &model.mlock_mmap : NULL); + layer.wq = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, backend_split); + layer.wk = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, backend_split); + layer.wv = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, backend_split); + layer.wo = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, backend_split); - if (progress_callback) { - progress_callback(1.0f, progress_callback_user_data); - } + layer.ffn_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, backend); + layer.ffn_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, backend); - model.mapping = std::move(ml.mapping); + layer.ffn_gate = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, backend_split); + layer.ffn_down = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, backend_split); + layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); + } + } break; + case LLM_ARCH_QWEN: + { + model.tok_embd = ml.create_tensor(ctx, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, GGML_BACKEND_CPU); + { + ggml_backend_type backend_norm; + ggml_backend_type backend_output; - // loading time will be recalculate after the first eval, so - // we take page faults deferred by mmap() into consideration - model.t_load_us = ggml_time_us() - model.t_start_us; -} + if (n_gpu_layers > int(n_layer)) { + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload_split; + } else { + backend_norm = GGML_BACKEND_CPU; + backend_output = GGML_BACKEND_CPU; + } -static bool llama_model_load(const std::string & fname, llama_model & model, const llama_model_params & params) { - try { - llama_model_loader ml(fname, params.use_mmap); + model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); + model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); + } - model.hparams.vocab_only = params.vocab_only; + const uint32_t n_ff = hparams.n_ff / 2; - llm_load_arch (ml, model); - llm_load_hparams(ml, model); - llm_load_vocab (ml, model); + const int i_gpu_start = n_layer - n_gpu_layers; - llm_load_print_meta(ml, model); + model.layers.resize(n_layer); + + for (uint32_t i = 0; i < n_layer; ++i) { + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; // NOLINT + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; // NOLINT + + auto & layer = model.layers[i]; + + layer.attn_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, backend); + + layer.wqkv = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd * 3}, backend_split); + layer.bqkv = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd * 3}, backend); + layer.wo = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, backend_split); + + layer.ffn_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, backend); + + layer.ffn_gate = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, backend_split); + layer.ffn_down = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, backend_split); + layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); + } + } break; + case LLM_ARCH_PHI2: + { + model.tok_embd = ml.create_tensor(ctx, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, GGML_BACKEND_CPU); + + // output + { + ggml_backend_type backend_norm; + ggml_backend_type backend_output; + + if (n_gpu_layers > int(n_layer)) { + backend_norm = llama_backend_offload; + backend_output = llama_backend_offload; + } else { + backend_norm = GGML_BACKEND_CPU; + backend_output = GGML_BACKEND_CPU; + } + + model.output_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, backend_norm); + model.output_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, backend_norm); + model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output); + model.output_b = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "bias"), {n_vocab}, backend_output); + } + + const uint32_t n_ff = hparams.n_ff; + + const int i_gpu_start = n_layer - n_gpu_layers; + + model.layers.resize(n_layer); + + for (uint32_t i = 0; i < n_layer; ++i) { + const ggml_backend_type backend = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload; // NOLINT + const ggml_backend_type backend_split = int(i) < i_gpu_start ? GGML_BACKEND_CPU : llama_backend_offload_split; // NOLINT + + auto & layer = model.layers[i]; + + layer.attn_norm = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, backend); + layer.attn_norm_b = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, backend); + + layer.wqkv = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, backend_split); + layer.bqkv = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, backend); + + layer.wo = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, backend_split); + layer.bo = ml.create_tensor(ctx, tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, backend); + + layer.ffn_down = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, backend_split); + layer.ffn_down_b = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, backend); + + layer.ffn_up = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, backend_split); + layer.ffn_up_b = ml.create_tensor(ctx, tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, backend); + } + } break; + default: + throw std::runtime_error("unknown architecture"); + } + } + + ml.done_getting_tensors(); + + ml.init_mapping(); + + // allocate tensors + size_t vram_weights = 0; + size_t buf_size = 0; + + ggml_backend_buffer_type_t buft = llama_default_buffer_type(n_gpu_layers); + + for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) { + // GGML_BACKEND_GPU tensors are for CUDA and OpenCL only, which are handled separately without ggml-backend + if (t->backend == GGML_BACKEND_CPU) { + buf_size += GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), ggml_backend_buft_get_alignment(buft)); + } else { + vram_weights += ggml_nbytes(t); + } + } + + // create backend buffer + ggml_backend_buffer_t buf_mmap = nullptr; + +#ifdef GGML_USE_METAL + if (n_gpu_layers > 0) { + if (ml.use_mmap) { + const size_t max_size = ggml_get_max_tensor_size(ctx); + model.buf = ggml_backend_metal_buffer_from_ptr(ml.mapping->addr, ml.mapping->size, max_size); + buf_mmap = model.buf; + } else { + model.buf = ggml_backend_alloc_ctx_tensors_from_buft(ctx, ggml_backend_metal_buffer_type()); + } + } +#elif defined(GGML_USE_CUBLAS) && defined(LLAMA_GGML_BACKEND_CUDA_TEST) + // for testing only + if (n_gpu_layers > 0) { + model.buf = ggml_backend_alloc_ctx_tensors_from_buft(ctx, ggml_backend_cuda_buffer_type(0)); + } +#endif + + if (model.buf == nullptr) { + // CPU backend, and indirectly CUDA and OpenCL + if (ml.use_mmap) { + model.buf = ggml_backend_cpu_buffer_from_ptr(ml.mapping->addr, ml.mapping->size); + buf_mmap = model.buf; + } else { + // allocate only CPU tensors + model.buf = ggml_backend_buft_alloc_buffer(buft, buf_size); + ggml_tallocr_t alloc = ggml_tallocr_new_from_buffer(model.buf); + for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) { + if (t->backend == GGML_BACKEND_CPU) { + ggml_tallocr_alloc(alloc, t); + } + } + ggml_tallocr_free(alloc); + } + } + + if (use_mlock && ggml_backend_buffer_is_host(model.buf)) { + model.mlock_buf.init (ggml_backend_buffer_get_base(model.buf)); + model.mlock_buf.grow_to(ggml_backend_buffer_get_size(model.buf)); + } + + // print memory requirements + { + size_t sys_mem_required = ctx_size + buf_size; + + if (sys_mem_required > 0) { + LLAMA_LOG_INFO("%s: system memory used = %7.2f MiB\n", __func__, sys_mem_required / 1024.0 / 1024.0); + } + if (vram_weights > 0) { + LLAMA_LOG_INFO("%s: VRAM used = %7.2f MiB\n", __func__, vram_weights / 1024.0 / 1024.0); + } + +#if (defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST)) || defined(GGML_USE_CLBLAST) + const int n_gpu = std::min(n_gpu_layers, int(hparams.n_layer)); + + LLAMA_LOG_INFO("%s: offloading %d repeating layers to GPU\n", __func__, n_gpu); + if (n_gpu_layers > (int) hparams.n_layer) { + LLAMA_LOG_INFO("%s: offloading non-repeating layers to GPU\n", __func__); + } + + const int max_backend_supported_layers = hparams.n_layer + 1; + const int max_offloadable_layers = hparams.n_layer + 1; + + LLAMA_LOG_INFO("%s: offloaded %d/%d layers to GPU\n", __func__, std::min(n_gpu_layers, max_offloadable_layers), max_backend_supported_layers); +#endif // defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) + } + +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) + ggml_cuda_set_tensor_split(tensor_split); +#else + GGML_UNUSED(tensor_split); +#endif // GGML_USE_CUBLAS + + // populate tensors_by_name + for (int i = 0; i < ml.n_tensors; ++i) { + struct ggml_tensor * cur = ggml_get_tensor(ctx, ml.get_tensor_name(i)); + model.tensors_by_name.emplace_back(ggml_get_name(cur), cur); + } + + if (!ml.load_all_data(ctx, progress_callback, progress_callback_user_data, buf_mmap, use_mlock ? &model.mlock_mmap : NULL)) { + return false; + } + + model.mapping = std::move(ml.mapping); + + // loading time will be recalculate after the first eval, so + // we take page faults deferred by mmap() into consideration + model.t_load_us = ggml_time_us() - model.t_start_us; + return true; +} + +// Returns 0 on success, -1 on error, and -2 on cancellation via llama_progress_callback +static int llama_model_load(const std::string & fname, llama_model & model, const llama_model_params & params) { + try { + llama_model_loader ml(fname, params.use_mmap, params.kv_overrides); + + model.hparams.vocab_only = params.vocab_only; + + llm_load_arch (ml, model); + llm_load_hparams(ml, model); + llm_load_vocab (ml, model); + + llm_load_print_meta(ml, model); if (model.hparams.n_vocab != model.vocab.id_to_token.size()) { throw std::runtime_error("vocab size mismatch"); @@ -3130,19 +3760,21 @@ static bool llama_model_load(const std::string & fname, llama_model & model, con if (params.vocab_only) { LLAMA_LOG_INFO("%s: vocab only - skipping tensors\n", __func__); - return true; + return 0; } - llm_load_tensors( + if (!llm_load_tensors( ml, model, params.n_gpu_layers, params.main_gpu, params.tensor_split, params.use_mlock, params.progress_callback, params.progress_callback_user_data - ); + )) { + return -2; + } } catch (const std::exception & err) { LLAMA_LOG_ERROR("error loading model: %s\n", err.what()); - return false; + return -1; } - return true; + return 0; } // @@ -3210,7 +3842,7 @@ static void llm_build_k_shift( struct ggml_cgraph * graph, llm_rope_type type, int64_t n_ctx, - int64_t n_rot, + int n_rot, float freq_base, float freq_scale, const llm_build_cb & cb) { @@ -3241,11 +3873,11 @@ static void llm_build_k_shift( struct ggml_tensor * tmp = // we rotate only the first n_rot dimensions ggml_rope_custom_inplace(ctx, - ggml_view_3d(ctx, kv.k, - n_rot, n_head_kv, n_ctx, - ggml_element_size(kv.k)*n_embd_head, - ggml_element_size(kv.k)*n_embd_gqa, - ggml_element_size(kv.k)*n_embd_gqa*n_ctx*il), + ggml_view_3d(ctx, kv.k_l[il], + n_embd_head, n_head_kv, n_ctx, + ggml_row_size(kv.k_l[il]->type, n_embd_head), + ggml_row_size(kv.k_l[il]->type, n_embd_gqa), + 0), K_shift, n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow); cb(tmp, "K_shifted", il); @@ -3272,13 +3904,13 @@ static void llm_build_kv_store( //struct ggml_tensor * v_cur_t = ggml_transpose(ctx, v_cur); // TODO: reshape above is likely not needed cb(v_cur_t, "v_cur_t", il); - struct ggml_tensor * k_cache_view = ggml_view_1d(ctx, kv.k, n_tokens*n_embd_gqa, - (ggml_element_size(kv.k)*n_embd_gqa)*(il*n_ctx + kv_head)); + struct ggml_tensor * k_cache_view = ggml_view_1d(ctx, kv.k_l[il], n_tokens*n_embd_gqa, + (ggml_row_size(kv.k_l[il]->type, n_embd_gqa))*kv_head); cb(k_cache_view, "k_cache_view", il); - struct ggml_tensor * v_cache_view = ggml_view_2d(ctx, kv.v, n_tokens, n_embd_gqa, - ( n_ctx)*ggml_element_size(kv.v), - (il*n_ctx)*ggml_element_size(kv.v)*n_embd_gqa + kv_head*ggml_element_size(kv.v)); + struct ggml_tensor * v_cache_view = ggml_view_2d(ctx, kv.v_l[il], n_tokens, n_embd_gqa, + ( n_ctx)*ggml_element_size(kv.v_l[il]), + (kv_head)*ggml_element_size(kv.v_l[il])); cb(v_cache_view, "v_cache_view", il); // important: storing RoPE-ed version of K in the KV cache! @@ -3407,17 +4039,18 @@ static struct ggml_tensor * llm_build_ffn( // if max_alibi_bias > 0 then apply ALiBi static struct ggml_tensor * llm_build_kqv( struct ggml_context * ctx, + const llama_model & model, const llama_hparams & hparams, const llama_kv_cache & kv, struct ggml_tensor * wo, struct ggml_tensor * wo_b, struct ggml_tensor * q_cur, - struct ggml_tensor * kq_scale, struct ggml_tensor * kq_mask, int64_t n_ctx, int32_t n_tokens, int32_t n_kv, float max_alibi_bias, + float kq_scale, const llm_build_cb & cb, int il) { const int64_t n_embd = hparams.n_embd; @@ -3430,40 +4063,52 @@ static struct ggml_tensor * llm_build_kqv( cb(q, "q", il); struct ggml_tensor * k = - ggml_view_3d(ctx, kv.k, + ggml_view_3d(ctx, kv.k_l[il], n_embd_head, n_kv, n_head_kv, - ggml_element_size(kv.k)*n_embd_gqa, - ggml_element_size(kv.k)*n_embd_head, - ggml_element_size(kv.k)*n_embd_gqa*n_ctx*il); + ggml_row_size(kv.k_l[il]->type, n_embd_gqa), + ggml_row_size(kv.k_l[il]->type, n_embd_head), + 0); cb(k, "k", il); struct ggml_tensor * kq = ggml_mul_mat(ctx, k, q); cb(kq, "kq", il); - kq = ggml_scale(ctx, kq, kq_scale); - cb(kq, "kq_scaled", il); + if (model.arch == LLM_ARCH_PHI2) { + // for this arch, we need to perform the KQ multiplication with F32 precision, otherwise we get NaNs + // ref: https://github.com/ggerganov/llama.cpp/pull/4490#issuecomment-1859055847 + ggml_mul_mat_set_prec(kq, GGML_PREC_F32); + } if (max_alibi_bias > 0.0f) { - // TODO: n_head or n_head_kv - // TODO: K-shift is likely not working - // TODO: change to ggml_add - kq = ggml_alibi(ctx, kq, /*n_past*/ 0, n_head, max_alibi_bias); - cb(kq, "kq_scaled_alibi", il); - } + // temporary branch until we figure out how to handle ggml_alibi through ggml_add + kq = ggml_scale(ctx, kq, kq_scale); + cb(kq, "kq_scaled", il); + + if (max_alibi_bias > 0.0f) { + // TODO: n_head or n_head_kv + // TODO: K-shift is likely not working + // TODO: change to ggml_add + kq = ggml_alibi(ctx, kq, /*n_past*/ 0, n_head, max_alibi_bias); + cb(kq, "kq_scaled_alibi", il); + } - kq = ggml_add(ctx, kq, kq_mask); - cb(kq, "kq_masked", il); + kq = ggml_add(ctx, kq, kq_mask); + cb(kq, "kq_masked", il); - kq = ggml_soft_max(ctx, kq); - cb(kq, "kq_soft_max", il); + kq = ggml_soft_max(ctx, kq); + cb(kq, "kq_soft_max", il); + } else { + kq = ggml_soft_max_ext(ctx, kq, kq_mask, kq_scale); + cb(kq, "kq_soft_max_ext", il); + } // split cached v into n_head heads struct ggml_tensor * v = - ggml_view_3d(ctx, kv.v, + ggml_view_3d(ctx, kv.v_l[il], n_kv, n_embd_head, n_head_kv, - ggml_element_size(kv.v)*n_ctx, - ggml_element_size(kv.v)*n_ctx*n_embd_head, - ggml_element_size(kv.v)*n_ctx*n_embd_gqa*il); + ggml_element_size(kv.v_l[il])*n_ctx, + ggml_element_size(kv.v_l[il])*n_ctx*n_embd_head, + 0); cb(v, "v", il); struct ggml_tensor * kqv = ggml_mul_mat(ctx, v, kq); @@ -3501,6 +4146,8 @@ struct llm_build_context { const int64_t n_head_kv; const int64_t n_embd_head; const int64_t n_embd_gqa; + const int64_t n_expert; + const int64_t n_expert_used; const float freq_base; const float freq_scale; @@ -3520,7 +4167,7 @@ struct llm_build_context { const llm_build_cb & cb; - llama_buffer & buf_compute; + std::vector & buf_compute_meta; struct ggml_context * ctx0 = nullptr; @@ -3530,33 +4177,35 @@ struct llm_build_context { const llama_batch & batch, const llm_build_cb & cb, bool worst_case) : - model (lctx.model), - hparams (model.hparams), - cparams (lctx.cparams), - batch (batch), - kv_self (lctx.kv_self), - n_embd (hparams.n_embd), - n_layer (hparams.n_layer), - n_ctx (cparams.n_ctx), - n_head (hparams.n_head), - n_head_kv (hparams.n_head_kv), - n_embd_head (hparams.n_embd_head()), - n_embd_gqa (hparams.n_embd_gqa()), - freq_base (cparams.rope_freq_base), - freq_scale (cparams.rope_freq_scale), - ext_factor (cparams.yarn_ext_factor), - attn_factor (cparams.yarn_attn_factor), - beta_fast (cparams.yarn_beta_fast), - beta_slow (cparams.yarn_beta_slow), - norm_eps (hparams.f_norm_eps), - norm_rms_eps (hparams.f_norm_rms_eps), - n_tokens (batch.n_tokens), - n_kv (worst_case ? n_ctx : kv_self.n), - kv_head (worst_case ? n_ctx - n_tokens : kv_self.head), - n_orig_ctx (cparams.n_yarn_orig_ctx), - do_rope_shift (worst_case || kv_self.has_shift), - cb (cb), - buf_compute (lctx.buf_compute) { + model (lctx.model), + hparams (model.hparams), + cparams (lctx.cparams), + batch (batch), + kv_self (lctx.kv_self), + n_embd (hparams.n_embd), + n_layer (hparams.n_layer), + n_ctx (cparams.n_ctx), + n_head (hparams.n_head), + n_head_kv (hparams.n_head_kv), + n_embd_head (hparams.n_embd_head()), + n_embd_gqa (hparams.n_embd_gqa()), + n_expert (hparams.n_expert), + n_expert_used (hparams.n_expert_used), + freq_base (cparams.rope_freq_base), + freq_scale (cparams.rope_freq_scale), + ext_factor (cparams.yarn_ext_factor), + attn_factor (cparams.yarn_attn_factor), + beta_fast (cparams.yarn_beta_fast), + beta_slow (cparams.yarn_beta_slow), + norm_eps (hparams.f_norm_eps), + norm_rms_eps (hparams.f_norm_rms_eps), + n_tokens (batch.n_tokens), + n_kv (worst_case ? n_ctx : kv_self.n), + kv_head (worst_case ? n_ctx - n_tokens : kv_self.head), + n_orig_ctx (cparams.n_yarn_orig_ctx), + do_rope_shift (worst_case || kv_self.has_shift), + cb (cb), + buf_compute_meta (lctx.buf_compute_meta) { GGML_ASSERT(!!kv_self.ctx); // all initializations should be done in init() @@ -3564,8 +4213,8 @@ struct llm_build_context { void init() { struct ggml_init_params params = { - /*.mem_size =*/ buf_compute.size, - /*.mem_buffer =*/ buf_compute.data, + /*.mem_size =*/ buf_compute_meta.size(), + /*.mem_buffer =*/ buf_compute_meta.data(), /*.no_alloc =*/ true, }; @@ -3580,7 +4229,7 @@ struct llm_build_context { } struct ggml_cgraph * build_llama() { - struct ggml_cgraph * gf = ggml_new_graph(ctx0); + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); GGML_ASSERT(n_embd_head == hparams.n_rot); @@ -3594,10 +4243,6 @@ struct llm_build_context { struct ggml_tensor * inp_pos = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_tokens); cb(inp_pos, "inp_pos", -1); - // KQ_scale - struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - cb(KQ_scale, "KQ_scale", -1); - // KQ_mask (mask for 1 head, it will be broadcasted to all heads) struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); cb(KQ_mask, "KQ_mask", -1); @@ -3621,12 +4266,24 @@ struct llm_build_context { // compute Q and K and RoPE them struct ggml_tensor * Qcur = ggml_mul_mat(ctx0, model.layers[il].wq, cur); cb(Qcur, "Qcur", il); + if (model.layers[il].bq) { + Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq); + cb(Qcur, "Qcur", il); + } struct ggml_tensor * Kcur = ggml_mul_mat(ctx0, model.layers[il].wk, cur); cb(Kcur, "Kcur", il); + if (model.layers[il].bk) { + Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk); + cb(Kcur, "Kcur", il); + } struct ggml_tensor * Vcur = ggml_mul_mat(ctx0, model.layers[il].wv, cur); cb(Vcur, "Vcur", il); + if (model.layers[il].bv) { + Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv); + cb(Vcur, "Vcur", il); + } Qcur = ggml_rope_custom( ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, @@ -3644,9 +4301,9 @@ struct llm_build_context { llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); - cur = llm_build_kqv(ctx0, hparams, kv_self, - model.layers[il].wo, NULL, - Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, cb, il); + cur = llm_build_kqv(ctx0, model, hparams, kv_self, + model.layers[il].wo, model.layers[il].bo, + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, 1.0f/sqrtf(float(n_embd_head)), cb, il); cb(cur, "kqv_out", il); } @@ -3654,7 +4311,7 @@ struct llm_build_context { cb(ffn_inp, "ffn_inp", il); // feed-forward network - { + if (model.layers[il].ffn_gate_inp == nullptr) { cur = llm_build_norm(ctx0, ffn_inp, hparams, model.layers[il].ffn_norm, NULL, LLM_NORM_RMS, cb, il); @@ -3666,6 +4323,69 @@ struct llm_build_context { model.layers[il].ffn_down, NULL, LLM_FFN_SILU, LLM_FFN_PAR, cb, il); cb(cur, "ffn_out", il); + } else { + // MoE branch + cur = llm_build_norm(ctx0, ffn_inp, hparams, + model.layers[il].ffn_norm, NULL, + LLM_NORM_RMS, cb, il); + cb(cur, "ffn_norm", il); + + ggml_tensor * logits = ggml_mul_mat(ctx0, model.layers[il].ffn_gate_inp, cur); // [n_tokens, num_experts] + cb(logits, "ffn_moe_logits", il); + + ggml_tensor * probs = ggml_soft_max(ctx0, logits); // [n_tokens, num_experts] + cb(probs, "ffn_moe_probs", il); + + // select experts + ggml_tensor * selected_experts = ggml_top_k(ctx0, probs, n_expert_used); // [n_tokens, num_experts_per_tok] + cb(selected_experts->src[0], "ffn_moe_argsort", il); + + ggml_tensor * weights = ggml_get_rows(ctx0, + ggml_reshape_3d(ctx0, probs, 1, n_expert, n_tokens), selected_experts); + cb(weights, "ffn_moe_weights", il); + + weights = ggml_reshape_2d(ctx0, weights, n_expert_used, n_tokens); // [n_tokens, num_experts_per_tok] + + ggml_tensor * weights_sum = ggml_sum_rows(ctx0, weights); + cb(weights_sum, "ffn_moe_weights_sum", il); + + weights = ggml_div(ctx0, weights, weights_sum); // [n_tokens, num_experts_per_tok] + cb(weights, "ffn_moe_weights_norm", il); + + // compute expert outputs + ggml_tensor * moe_out = nullptr; + + for (int i = 0; i < n_expert_used; ++i) { + ggml_tensor * cur_expert; + + ggml_tensor * cur_up = ggml_mul_mat_id(ctx0, model.layers[il].ffn_up_exp, n_expert, selected_experts, i, cur); + cb(cur_up, "ffn_moe_up", il); + + ggml_tensor * cur_gate = ggml_mul_mat_id(ctx0, model.layers[il].ffn_gate_exp, n_expert, selected_experts, i, cur); + cb(cur_gate, "ffn_moe_gate", il); + + cur_gate = ggml_silu(ctx0, cur_gate); + cb(cur_gate, "ffn_moe_silu", il); + + cur_expert = ggml_mul(ctx0, cur_up, cur_gate); // [n_tokens, n_embd] + cb(cur_expert, "ffn_moe_gate_par", il); + + cur_expert = ggml_mul_mat_id(ctx0, model.layers[il].ffn_down_exp, n_expert, selected_experts, i, cur_expert); // [n_tokens, n_embd] + cb(cur_expert, "ffn_moe_down", il); + + cur_expert = ggml_mul(ctx0, cur_expert, + ggml_view_2d(ctx0, weights, 1, n_tokens, weights->nb[1], i*weights->nb[0])); + cb(cur_expert, "ffn_moe_weighted", il); + + if (i == 0) { + moe_out = cur_expert; + } else { + moe_out = ggml_add(ctx0, moe_out, cur_expert); + cb(moe_out, "ffn_moe_out", il); + } + } + + cur = moe_out; } cur = ggml_add(ctx0, cur, ffn_inp); @@ -3692,7 +4412,7 @@ struct llm_build_context { } struct ggml_cgraph * build_baichuan() { - struct ggml_cgraph * gf = ggml_new_graph(ctx0); + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); struct ggml_tensor * cur; struct ggml_tensor * inpL; @@ -3704,10 +4424,6 @@ struct llm_build_context { struct ggml_tensor * inp_pos = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_tokens); cb(inp_pos, "inp_pos", -1); - // KQ_scale - struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - cb(KQ_scale, "KQ_scale", -1); - // KQ_mask (mask for 1 head, it will be broadcasted to all heads) struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); cb(KQ_mask, "KQ_mask", -1); @@ -3764,9 +4480,9 @@ struct llm_build_context { // apply ALiBi for 13B model const float max_alibi_bias = model.type == MODEL_13B ? 8.0f : -1.0f; - cur = llm_build_kqv(ctx0, hparams, kv_self, + cur = llm_build_kqv(ctx0, model, hparams, kv_self, model.layers[il].wo, NULL, - Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, max_alibi_bias, cb, il); + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, max_alibi_bias, 1.0f/sqrtf(float(n_embd_head)), cb, il); cb(cur, "kqv_out", il); } @@ -3812,7 +4528,7 @@ struct llm_build_context { } struct ggml_cgraph * build_falcon() { - struct ggml_cgraph * gf = ggml_new_graph(ctx0); + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); struct ggml_tensor * cur; struct ggml_tensor * inpL; @@ -3824,10 +4540,6 @@ struct llm_build_context { struct ggml_tensor * inp_pos = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_tokens); cb(inp_pos, "inp_pos", -1); - // KQ_scale - struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - cb(KQ_scale, "KQ_scale", -1); - // KQ_mask (mask for 1 head, it will be broadcasted to all heads) struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); cb(KQ_mask, "KQ_mask", -1); @@ -3888,9 +4600,9 @@ struct llm_build_context { llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); - cur = llm_build_kqv(ctx0, hparams, kv_self, + cur = llm_build_kqv(ctx0, model, hparams, kv_self, model.layers[il].wo, NULL, - Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, cb, il); + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, 1.0f/sqrtf(float(n_embd_head)), cb, il); cb(cur, "kqv_out", il); } @@ -3934,7 +4646,7 @@ struct llm_build_context { } struct ggml_cgraph * build_starcoder() { - struct ggml_cgraph * gf = ggml_new_graph(ctx0); + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); struct ggml_tensor * cur; struct ggml_tensor * pos; @@ -3947,10 +4659,6 @@ struct llm_build_context { struct ggml_tensor * inp_pos = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_tokens); cb(inp_pos, "inp_pos", -1); - // KQ_scale - struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - cb(KQ_scale, "KQ_scale", -1); - // KQ_mask (mask for 1 head, it will be broadcasted to all heads) struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); cb(KQ_mask, "KQ_mask", -1); @@ -3988,9 +4696,9 @@ struct llm_build_context { llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); - cur = llm_build_kqv(ctx0, hparams, kv_self, + cur = llm_build_kqv(ctx0, model, hparams, kv_self, model.layers[il].wo, model.layers[il].bo, - Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, cb, il); + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, 1.0f/sqrtf(float(n_embd_head)), cb, il); cb(cur, "kqv_out", il); } @@ -4033,7 +4741,7 @@ struct llm_build_context { } struct ggml_cgraph * build_persimmon() { - struct ggml_cgraph * gf = ggml_new_graph(ctx0); + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); const int64_t n_rot = n_embd_head / 2; @@ -4043,13 +4751,11 @@ struct llm_build_context { inpL = llm_build_inp_embd(ctx0, hparams, batch, model.tok_embd, cb); cb(inpL, "imp_embd", -1); + // inp_pos - contains the positions struct ggml_tensor * inp_pos = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_tokens); cb(inp_pos, "inp_pos", -1); - // KQ_scale - struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - cb(KQ_scale, "KQ_scale", -1); - + // KQ_mask (mask for 1 head, it will be broadcasted to all heads) struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); cb(KQ_mask, "KQ_mask", -1); @@ -4178,7 +4884,7 @@ struct llm_build_context { struct ggml_tensor * Kcur = ggml_concat(ctx0, krotated, kpass); cb(Kcur, "Kcur", il); - struct ggml_tensor * Q = ggml_cont(ctx0, ggml_permute(ctx0, Qcur, 1, 2, 0, 3)); + struct ggml_tensor * Q = ggml_cont(ctx0, ggml_permute(ctx0, Qcur, 2, 1, 0, 3)); cb(Q, "Q", il); Kcur = ggml_cont(ctx0, ggml_permute(ctx0, Kcur, 2, 1, 0, 3)); @@ -4195,9 +4901,9 @@ struct llm_build_context { llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); // TODO: not tested, could be broken - cur = llm_build_kqv(ctx0, hparams, kv_self, + cur = llm_build_kqv(ctx0, model, hparams, kv_self, model.layers[il].wo, model.layers[il].bo, - Q, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, cb, il); + Q, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, 1.0f/sqrtf(float(n_embd_head)), cb, il); cb(cur, "kqv_out", il); } @@ -4243,7 +4949,7 @@ struct llm_build_context { } struct ggml_cgraph * build_refact() { - struct ggml_cgraph * gf = ggml_new_graph(ctx0); + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); struct ggml_tensor * cur; struct ggml_tensor * inpL; @@ -4251,10 +4957,6 @@ struct llm_build_context { inpL = llm_build_inp_embd(ctx0, hparams, batch, model.tok_embd, cb); cb(inpL, "inp_embd", -1); - // KQ_scale - struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - cb(KQ_scale, "KQ_scale", -1); - // KQ_mask (mask for 1 head, it will be broadcasted to all heads) struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); cb(KQ_mask, "KQ_mask", -1); @@ -4286,9 +4988,9 @@ struct llm_build_context { llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); - cur = llm_build_kqv(ctx0, hparams, kv_self, + cur = llm_build_kqv(ctx0, model, hparams, kv_self, model.layers[il].wo, NULL, - Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, 8.0f, cb, il); + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, 8.0f, 1.0f/sqrtf(float(n_embd_head)), cb, il); cb(cur, "kqv_out", il); } @@ -4334,7 +5036,7 @@ struct llm_build_context { } struct ggml_cgraph * build_bloom() { - struct ggml_cgraph * gf = ggml_new_graph(ctx0); + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); struct ggml_tensor * cur; struct ggml_tensor * inpL; @@ -4342,10 +5044,6 @@ struct llm_build_context { inpL = llm_build_inp_embd(ctx0, hparams, batch, model.tok_embd, cb); cb(inpL, "inp_embd", -1); - // KQ_scale - struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - cb(KQ_scale, "KQ_scale", -1); - // KQ_mask (mask for 1 head, it will be broadcasted to all heads) struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); cb(KQ_mask, "KQ_mask", -1); @@ -4383,9 +5081,9 @@ struct llm_build_context { llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); - cur = llm_build_kqv(ctx0, hparams, kv_self, + cur = llm_build_kqv(ctx0, model, hparams, kv_self, model.layers[il].wo, model.layers[il].bo, - Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, 8.0f, cb, il); + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, 8.0f, 1.0f/sqrtf(float(n_embd_head)), cb, il); cb(cur, "kqv_out", il); } @@ -4428,7 +5126,7 @@ struct llm_build_context { } struct ggml_cgraph * build_mpt() { - struct ggml_cgraph * gf = ggml_new_graph(ctx0); + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); struct ggml_tensor * cur; struct ggml_tensor * inpL; @@ -4436,10 +5134,6 @@ struct llm_build_context { inpL = llm_build_inp_embd(ctx0, hparams, batch, model.tok_embd, cb); cb(inpL, "inp_embd", -1); - // KQ_scale - struct ggml_tensor * KQ_scale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - cb(KQ_scale, "KQ_scale", -1); - // KQ_mask (mask for 1 head, it will be broadcasted to all heads) struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); cb(KQ_mask, "KQ_mask", -1); @@ -4477,9 +5171,9 @@ struct llm_build_context { llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); - cur = llm_build_kqv(ctx0, hparams, kv_self, + cur = llm_build_kqv(ctx0, model, hparams, kv_self, model.layers[il].wo, NULL, - Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, hparams.f_max_alibi_bias, cb, il); + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, hparams.f_max_alibi_bias, 1.0f/sqrtf(float(n_embd_head)), cb, il); cb(cur, "kqv_out", il); } @@ -4498,27 +5192,357 @@ struct llm_build_context { cur = llm_build_ffn(ctx0, cur, model.layers[il].ffn_up, NULL, NULL, NULL, - model.layers[il].ffn_down, NULL, + model.layers[il].ffn_down, NULL, + LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); + cb(cur, "ffn_out", il); + } + + cur = ggml_add(ctx0, cur, ffn_inp); + cb(cur, "l_out", il); + + // input for next layer + inpL = cur; + } + + cur = inpL; + + cur = llm_build_norm(ctx0, cur, hparams, + model.output_norm, + NULL, + LLM_NORM, cb, -1); + cb(cur, "result_norm", -1); + + cur = ggml_mul_mat(ctx0, model.output, cur); + cb(cur, "result_output", -1); + + ggml_build_forward_expand(gf, cur); + + return gf; + } + + struct ggml_cgraph * build_stablelm() { + struct ggml_cgraph * gf = ggml_new_graph(ctx0); + + struct ggml_tensor * cur; + struct ggml_tensor * inpL; + + inpL = llm_build_inp_embd(ctx0, hparams, batch, model.tok_embd, cb); + cb(inpL, "inp_embd", -1); + + // inp_pos - contains the positions + struct ggml_tensor * inp_pos = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_tokens); + cb(inp_pos, "inp_pos", -1); + + // KQ_mask (mask for 1 head, it will be broadcasted to all heads) + struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); + cb(KQ_mask, "KQ_mask", -1); + + // shift the entire K-cache if needed + if (do_rope_shift) { + llm_build_k_shift(ctx0, hparams, cparams, kv_self, gf, LLM_ROPE_NEOX, n_ctx, hparams.n_rot, freq_base, freq_scale, cb); + } + + for (int il = 0; il < n_layer; ++il) { + struct ggml_tensor * inpSA = inpL; + + // norm + cur = llm_build_norm(ctx0, inpL, hparams, + model.layers[il].attn_norm, + model.layers[il].attn_norm_b, + LLM_NORM, cb, il); + cb(cur, "attn_norm", il); + + // self-attention + { + // compute Q and K and RoPE them + struct ggml_tensor * Qcur = ggml_mul_mat(ctx0, model.layers[il].wq, cur); + cb(Qcur, "Qcur", il); + + struct ggml_tensor * Kcur = ggml_mul_mat(ctx0, model.layers[il].wk, cur); + cb(Kcur, "Kcur", il); + + struct ggml_tensor * Vcur = ggml_mul_mat(ctx0, model.layers[il].wv, cur); + cb(Vcur, "Vcur", il); + + Qcur = ggml_rope_custom( + ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, + hparams.n_rot, 2, 0, n_orig_ctx, freq_base, freq_scale, + ext_factor, attn_factor, beta_fast, beta_slow + ); + cb(Qcur, "Qcur", il); + + Kcur = ggml_rope_custom( + ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, + hparams.n_rot, 2, 0, n_orig_ctx, freq_base, freq_scale, + ext_factor, attn_factor, beta_fast, beta_slow + ); + cb(Kcur, "Kcur", il); + + llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); + + cur = llm_build_kqv(ctx0, model, hparams, kv_self, + model.layers[il].wo, NULL, + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, 1.0f/sqrtf(float(n_embd_head)), cb, il); + cb(cur, "kqv_out", il); + } + + struct ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA); + cb(ffn_inp, "ffn_inp", il); + + // feed-forward network + { + cur = llm_build_norm(ctx0, ffn_inp, hparams, + model.layers[il].ffn_norm, + model.layers[il].ffn_norm_b, + LLM_NORM, cb, il); + cb(cur, "ffn_norm", il); + + cur = llm_build_ffn(ctx0, cur, + model.layers[il].ffn_up, NULL, + model.layers[il].ffn_gate, NULL, + model.layers[il].ffn_down, NULL, + LLM_FFN_SILU, LLM_FFN_PAR, cb, il); + cb(cur, "ffn_out", il); + } + + cur = ggml_add(ctx0, cur, ffn_inp); + cb(cur, "l_out", il); + + // input for next layer + inpL = cur; + } + + cur = inpL; + + cur = llm_build_norm(ctx0, cur, hparams, + model.output_norm, + model.output_norm_b, + LLM_NORM, cb, -1); + cb(cur, "result_norm", -1); + + // lm_head + cur = ggml_mul_mat(ctx0, model.output, cur); + cb(cur, "result_output", -1); + + ggml_build_forward_expand(gf, cur); + + return gf; + } + + struct ggml_cgraph * build_qwen() { + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); + + struct ggml_tensor * cur; + struct ggml_tensor * inpL; + + inpL = llm_build_inp_embd(ctx0, hparams, batch, model.tok_embd, cb); + cb(inpL, "inp_embd", -1); + + // inp_pos - contains the positions + struct ggml_tensor * inp_pos = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_tokens); + cb(inp_pos, "inp_pos", -1); + + // KQ_mask (mask for 1 head, it will be broadcasted to all heads) + struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); + cb(KQ_mask, "KQ_mask", -1); + + // shift the entire K-cache if needed + if (do_rope_shift) { + llm_build_k_shift(ctx0, hparams, cparams, kv_self, gf, LLM_ROPE_NEOX, n_ctx, n_embd_head, freq_base, freq_scale, cb); + } + + for (int il = 0; il < n_layer; ++il) { + struct ggml_tensor * inpSA = inpL; + + cur = llm_build_norm(ctx0, inpL, hparams, + model.layers[il].attn_norm, NULL, + LLM_NORM_RMS, cb, il); + cb(cur, "attn_norm", il); + + // self-attention + { + cur = ggml_mul_mat(ctx0, model.layers[il].wqkv, cur); + cb(cur, "wqkv", il); + + cur = ggml_add(ctx0, cur, model.layers[il].bqkv); + cb(cur, "bqkv", il); + + struct ggml_tensor * Qcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd, n_tokens, cur->nb[1], 0*sizeof(float)*(n_embd))); + struct ggml_tensor * Kcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd))); + struct ggml_tensor * Vcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd, n_tokens, cur->nb[1], 2*sizeof(float)*(n_embd))); + + cb(Qcur, "Qcur", il); + cb(Kcur, "Kcur", il); + cb(Vcur, "Vcur", il); + + Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens); + Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens); + + // using mode = 2 for neox mode + Qcur = ggml_rope_custom( + ctx0, Qcur, inp_pos, n_embd_head, 2, 0, n_orig_ctx, + freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow + ); + cb(Qcur, "Qcur", il); + + Kcur = ggml_rope_custom( + ctx0, Kcur, inp_pos, n_embd_head, 2, 0, n_orig_ctx, + freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow + ); + cb(Kcur, "Kcur", il); + + llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); + + cur = llm_build_kqv(ctx0, model, hparams, kv_self, + model.layers[il].wo, NULL, + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, 1.0f/sqrtf(float(n_embd_head)), cb, il); + cb(cur, "kqv_out", il); + } + + struct ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA); + cb(ffn_inp, "ffn_inp", il); + + // feed-forward forward + { + cur = llm_build_norm(ctx0, ffn_inp, hparams, + model.layers[il].ffn_norm, NULL, + LLM_NORM_RMS, cb, il); + cb(cur, "ffn_norm", il); + + cur = llm_build_ffn(ctx0, cur, + model.layers[il].ffn_up, NULL, + model.layers[il].ffn_gate, NULL, + model.layers[il].ffn_down, NULL, + LLM_FFN_SILU, LLM_FFN_PAR, cb, il); + cb(cur, "ffn_out", il); + } + + cur = ggml_add(ctx0, cur, ffn_inp); + cb(cur, "l_out", il); + + // input for next layer + inpL = cur; + } + + cur = inpL; + + cur = llm_build_norm(ctx0, cur, hparams, + model.output_norm, NULL, + LLM_NORM_RMS, cb, -1); + cb(cur, "result_norm", -1); + + // lm_head + cur = ggml_mul_mat(ctx0, model.output, cur); + cb(cur, "result_output", -1); + + ggml_build_forward_expand(gf, cur); + + return gf; + } + struct ggml_cgraph * build_phi2() { + struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); + + struct ggml_tensor * cur; + struct ggml_tensor * attn_norm_output; + struct ggml_tensor * ffn_output; + struct ggml_tensor * inpL; + + inpL = llm_build_inp_embd(ctx0, hparams, batch, model.tok_embd, cb); + cb(inpL, "inp_embd", -1); + + // inp_pos - contains the positions + struct ggml_tensor * inp_pos = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_tokens); + cb(inp_pos, "inp_pos", -1); + + // KQ_mask (mask for 1 head, it will be broadcasted to all heads) + struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); + cb(KQ_mask, "KQ_mask", -1); + + // shift the entire K-cache if needed + if (do_rope_shift) { + llm_build_k_shift(ctx0, hparams, cparams, kv_self, gf, LLM_ROPE_NEOX, n_ctx, n_embd_head, freq_base, freq_scale, cb); + } + + for (int il = 0; il < n_layer; ++il) { + attn_norm_output = llm_build_norm(ctx0, inpL, hparams, + model.layers[il].attn_norm, + model.layers[il].attn_norm_b, + LLM_NORM, cb, il); + cb(attn_norm_output, "attn_norm", il); + + // self-attention + { + cur = ggml_mul_mat(ctx0, model.layers[il].wqkv, attn_norm_output); + cb(cur, "wqkv", il); + + cur = ggml_add(ctx0, cur, model.layers[il].bqkv); + cb(cur, "bqkv", il); + + struct ggml_tensor * Qcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd, n_tokens, cur->nb[1], 0*sizeof(float)*(n_embd))); + struct ggml_tensor * Kcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd))); + struct ggml_tensor * Vcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa))); + + cb(Qcur, "Qcur", il); + cb(Kcur, "Kcur", il); + cb(Vcur, "Vcur", il); + + Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens); + Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens); + + Qcur = ggml_rope_custom( + ctx0, Qcur, inp_pos, hparams.n_rot, 2, 0, n_orig_ctx, + freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow + ); + cb(Qcur, "Qcur", il); + + // with phi2, we scale the Q to avoid precision issues + // ref: https://github.com/ml-explore/mlx-examples/blob/08e862336ade809bc37d1035f94b359e7d1a5152/phi2/phi2.py#L64-L66 + Qcur = ggml_scale(ctx0, Qcur, 1.0f/sqrtf(float(n_embd_head))); + cb(Qcur, "Qcur", il); + + Kcur = ggml_rope_custom( + ctx0, Kcur, inp_pos, hparams.n_rot, 2, 0, n_orig_ctx, + freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow + ); + cb(Kcur, "Kcur", il); + + llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il); + + cur = llm_build_kqv(ctx0, model, hparams, kv_self, + model.layers[il].wo, model.layers[il].bo, + Qcur, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, 1.0f, cb, il); + cb(cur, "kqv_out", il); + } + + // FF + { + ffn_output = llm_build_ffn(ctx0, attn_norm_output, + model.layers[il].ffn_up, model.layers[il].ffn_up_b, + NULL, NULL, + model.layers[il].ffn_down, model.layers[il].ffn_down_b, LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); - cb(cur, "ffn_out", il); + cb(ffn_output, "ffn_out", il); } - cur = ggml_add(ctx0, cur, ffn_inp); + cur = ggml_add(ctx0, cur, ffn_output); + cb(cur, "l_out", il); + + cur = ggml_add(ctx0, cur, inpL); cb(cur, "l_out", il); - // input for next layer inpL = cur; } - cur = inpL; - - cur = llm_build_norm(ctx0, cur, hparams, + cur = llm_build_norm(ctx0, inpL, hparams, model.output_norm, - NULL, + model.output_norm_b, LLM_NORM, cb, -1); cb(cur, "result_norm", -1); cur = ggml_mul_mat(ctx0, model.output, cur); + cb(cur, "result_output_no_bias", -1); + + cur = ggml_add(ctx0, cur, model.output_b); cb(cur, "result_output", -1); ggml_build_forward_expand(gf, cur); @@ -4535,10 +5559,10 @@ struct llm_build_context { enum llm_offload_func_e { OFFLOAD_FUNC_NOP, OFFLOAD_FUNC, - OFFLOAD_FUNC_KQ, - OFFLOAD_FUNC_V, + OFFLOAD_FUNC_FRC, // force offload + OFFLOAD_FUNC_KQV, OFFLOAD_FUNC_NR, - OFFLOAD_FUNC_EMB, + OFFLOAD_FUNC_EMB, // embeddings OFFLOAD_FUNC_OUT, }; @@ -4622,11 +5646,11 @@ static const std::unordered_map k_offload_map //{ "inp_embd", OFFLOAD_FUNC_NR }, // TODO: missing K-quants get_rows kernel { "pos_embd", OFFLOAD_FUNC_NR }, - { "inp_pos", OFFLOAD_FUNC_KQ }, // this is often used for KQ ops (e.g. rope) - { "KQ_scale", OFFLOAD_FUNC_KQ }, - { "KQ_mask", OFFLOAD_FUNC_KQ }, - { "K_shift", OFFLOAD_FUNC_KQ }, - { "K_shifted", OFFLOAD_FUNC_KQ }, + { "inp_pos", OFFLOAD_FUNC_FRC }, // this is often used for KQ ops (e.g. rope) + { "KQ_mask", OFFLOAD_FUNC_FRC }, + { "K_shift", OFFLOAD_FUNC_FRC }, + + { "K_shifted", OFFLOAD_FUNC }, { "inp_norm", OFFLOAD_FUNC_NR }, { "inp_norm_w", OFFLOAD_FUNC_NR }, @@ -4639,37 +5663,38 @@ static const std::unordered_map k_offload_map { "attn_norm", OFFLOAD_FUNC }, { "attn_norm_2", OFFLOAD_FUNC }, - { "wqkv", OFFLOAD_FUNC_KQ }, - { "bqkv", OFFLOAD_FUNC_KQ }, - { "wqkv_clamped", OFFLOAD_FUNC_KQ }, - - { "tmpk", OFFLOAD_FUNC_KQ }, - { "tmpq", OFFLOAD_FUNC_KQ }, - { "tmpv", OFFLOAD_FUNC_V }, - { "Kcur", OFFLOAD_FUNC_KQ }, - { "Qcur", OFFLOAD_FUNC_KQ }, - { "Vcur", OFFLOAD_FUNC_V }, - - { "krot", OFFLOAD_FUNC_KQ }, - { "qrot", OFFLOAD_FUNC_KQ }, - { "kpass", OFFLOAD_FUNC_KQ }, - { "qpass", OFFLOAD_FUNC_KQ }, - { "krotated", OFFLOAD_FUNC_KQ }, - { "qrotated", OFFLOAD_FUNC_KQ }, - - { "q", OFFLOAD_FUNC_KQ }, - { "k", OFFLOAD_FUNC_KQ }, - { "kq", OFFLOAD_FUNC_KQ }, - { "kq_scaled", OFFLOAD_FUNC_KQ }, - { "kq_scaled_alibi", OFFLOAD_FUNC_KQ }, - { "kq_masked", OFFLOAD_FUNC_KQ }, - { "kq_soft_max", OFFLOAD_FUNC_V }, - { "v", OFFLOAD_FUNC_V }, - { "kqv", OFFLOAD_FUNC_V }, - { "kqv_merged", OFFLOAD_FUNC_V }, - { "kqv_merged_cont", OFFLOAD_FUNC_V }, - { "kqv_wo", OFFLOAD_FUNC_V }, - { "kqv_out", OFFLOAD_FUNC_V }, + { "wqkv", OFFLOAD_FUNC_KQV }, + { "bqkv", OFFLOAD_FUNC_KQV }, + { "wqkv_clamped", OFFLOAD_FUNC_KQV }, + + { "tmpk", OFFLOAD_FUNC_KQV }, + { "tmpq", OFFLOAD_FUNC_KQV }, + { "tmpv", OFFLOAD_FUNC_KQV }, + { "Kcur", OFFLOAD_FUNC_KQV }, + { "Qcur", OFFLOAD_FUNC_KQV }, + { "Vcur", OFFLOAD_FUNC_KQV }, + + { "krot", OFFLOAD_FUNC_KQV }, + { "qrot", OFFLOAD_FUNC_KQV }, + { "kpass", OFFLOAD_FUNC_KQV }, + { "qpass", OFFLOAD_FUNC_KQV }, + { "krotated", OFFLOAD_FUNC_KQV }, + { "qrotated", OFFLOAD_FUNC_KQV }, + + { "q", OFFLOAD_FUNC_KQV }, + { "k", OFFLOAD_FUNC_KQV }, + { "kq", OFFLOAD_FUNC_KQV }, + { "kq_scaled", OFFLOAD_FUNC_KQV }, + { "kq_scaled_alibi", OFFLOAD_FUNC_KQV }, + { "kq_masked", OFFLOAD_FUNC_KQV }, + { "kq_soft_max", OFFLOAD_FUNC_KQV }, + { "kq_soft_max_ext", OFFLOAD_FUNC_KQV }, + { "v", OFFLOAD_FUNC_KQV }, + { "kqv", OFFLOAD_FUNC_KQV }, + { "kqv_merged", OFFLOAD_FUNC_KQV }, + { "kqv_merged_cont", OFFLOAD_FUNC_KQV }, + { "kqv_wo", OFFLOAD_FUNC_KQV }, + { "kqv_out", OFFLOAD_FUNC_KQV }, { "ffn_inp", OFFLOAD_FUNC }, { "ffn_norm", OFFLOAD_FUNC }, @@ -4688,9 +5713,24 @@ static const std::unordered_map k_offload_map { "ffn_relu", OFFLOAD_FUNC }, { "ffn_sqr(relu)", OFFLOAD_FUNC }, + { "ffn_moe_logits", OFFLOAD_FUNC }, + { "ffn_moe_probs", OFFLOAD_FUNC }, + { "ffn_moe_argsort", OFFLOAD_FUNC }, + { "ffn_moe_weights", OFFLOAD_FUNC }, + { "ffn_moe_weights_sum", OFFLOAD_FUNC }, + { "ffn_moe_weights_norm", OFFLOAD_FUNC }, + { "ffn_moe_weighted", OFFLOAD_FUNC }, + { "ffn_moe_up", OFFLOAD_FUNC }, + { "ffn_moe_gate", OFFLOAD_FUNC }, + { "ffn_moe_silu", OFFLOAD_FUNC }, + { "ffn_moe_gate_par", OFFLOAD_FUNC }, + { "ffn_moe_down", OFFLOAD_FUNC }, + { "ffn_moe_out", OFFLOAD_FUNC }, + { "l_out", OFFLOAD_FUNC }, { "result_norm", OFFLOAD_FUNC_EMB }, + { "result_output_no_bias", OFFLOAD_FUNC_EMB }, { "result_output", OFFLOAD_FUNC_OUT }, }; @@ -4708,11 +5748,10 @@ static struct ggml_cgraph * llama_build_graph( bool alloc_inp_tokens = false; bool alloc_inp_embd = false; bool alloc_inp_pos = false; - bool alloc_inp_KQ_scale = false; bool alloc_inp_KQ_mask = false; bool alloc_inp_K_shift = false; -#ifdef GGML_USE_CUBLAS +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) const bool do_offload = true; #else const bool do_offload = true; // TODO: set to false after finishing refactoring @@ -4740,7 +5779,7 @@ static struct ggml_cgraph * llama_build_graph( if (!ggml_allocr_is_measure(lctx.alloc) && batch.token) { const int64_t n_tokens = cur->ne[0]; - memcpy(cur->data, batch.token, n_tokens*ggml_element_size(cur)); + ggml_backend_tensor_set(cur, batch.token, 0, n_tokens*ggml_element_size(cur)); } alloc_inp_tokens = true; @@ -4753,7 +5792,7 @@ static struct ggml_cgraph * llama_build_graph( const int64_t n_embd = cur->ne[0]; const int64_t n_tokens = cur->ne[1]; - memcpy(cur->data, batch.embd, n_tokens*n_embd*ggml_element_size(cur)); + ggml_backend_tensor_set(cur, batch.embd, 0, n_tokens*n_embd*ggml_element_size(cur)); } alloc_inp_embd = true; @@ -4765,27 +5804,13 @@ static struct ggml_cgraph * llama_build_graph( if (!ggml_allocr_is_measure(lctx.alloc) && batch.pos) { const int64_t n_tokens = cur->ne[0]; - int32_t * data = (int32_t *) cur->data; - - for (int i = 0; i < n_tokens; ++i) { - data[i] = batch.pos[i]; - } + static_assert(std::is_same::value, "llama_pos must be int32_t"); + ggml_backend_tensor_set(cur, batch.pos, 0, n_tokens*ggml_element_size(cur)); } alloc_inp_pos = true; } - if (!alloc_inp_KQ_scale && strcmp(name, "KQ_scale") == 0) { - ggml_allocr_alloc(lctx.alloc, cur); - - if (!ggml_allocr_is_measure(lctx.alloc)) { - const int64_t n_embd_head = model.hparams.n_embd_head(); - ggml_set_f32(cur, 1.0f/sqrtf(float(n_embd_head))); - } - - alloc_inp_KQ_scale = true; - } - if (!alloc_inp_KQ_mask && strcmp(name, "KQ_mask") == 0) { ggml_allocr_alloc(lctx.alloc, cur); @@ -4793,8 +5818,13 @@ static struct ggml_cgraph * llama_build_graph( const int64_t n_kv = cur->ne[0]; const int64_t n_tokens = cur->ne[1]; - float * data = (float *) cur->data; - memset(data, 0, ggml_nbytes(cur)); + float * data; + if (ggml_backend_buffer_is_host(cur->buffer)) { + data = (float *) cur->data; + } else { + lctx.buf_copy.resize(ggml_nbytes(cur)); + data = (float *) lctx.buf_copy.data(); + } for (int h = 0; h < 1; ++h) { for (int j = 0; j < n_tokens; ++j) { @@ -4802,12 +5832,20 @@ static struct ggml_cgraph * llama_build_graph( const llama_seq_id seq_id = batch.seq_id[j][0]; for (int i = 0; i < n_kv; ++i) { + float f; if (!lctx.kv_self.cells[i].has_seq_id(seq_id) || lctx.kv_self.cells[i].pos > pos) { - data[h*(n_kv*n_tokens) + j*n_kv + i] = -INFINITY; + f = -INFINITY; + } else { + f = 0; } + data[h*(n_kv*n_tokens) + j*n_kv + i] = f; } } } + + if (data != cur->data) { + ggml_backend_tensor_set(cur, data, 0, ggml_nbytes(cur)); + } } alloc_inp_KQ_mask = true; @@ -4819,11 +5857,21 @@ static struct ggml_cgraph * llama_build_graph( if (!ggml_allocr_is_measure(lctx.alloc)) { const int64_t n_ctx = cur->ne[0]; - int32_t * data = (int32_t *) cur->data; + int32_t * data; + if (ggml_backend_buffer_is_host(cur->buffer)) { + data = (int32_t *) cur->data; + } else { + lctx.buf_copy.resize(ggml_nbytes(cur)); + data = (int32_t *) lctx.buf_copy.data(); + } for (int i = 0; i < n_ctx; ++i) { data[i] = lctx.kv_self.cells[i].delta; } + + if (data != cur->data) { + ggml_backend_tensor_set(cur, data, 0, ggml_nbytes(cur)); + } } alloc_inp_K_shift = true; @@ -4860,16 +5908,16 @@ static struct ggml_cgraph * llama_build_graph( static const std::unordered_map> k_offload_func_name = { { OFFLOAD_FUNC_NOP, "CPU" }, { OFFLOAD_FUNC_OUT, "CPU" }, -#ifdef GGML_USE_CUBLAS - { OFFLOAD_FUNC, "GPU (CUDA)" }, - { OFFLOAD_FUNC_KQ, "GPU (CUDA) KQ" }, - { OFFLOAD_FUNC_V, "GPU (CUDA) V" }, - { OFFLOAD_FUNC_NR, "GPU (CUDA) NR" }, +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) + { OFFLOAD_FUNC, "GPU (CUDA)" }, + { OFFLOAD_FUNC_FRC, "GPU (CUDA) FRC" }, + { OFFLOAD_FUNC_KQV, "GPU (CUDA) KQV" }, + { OFFLOAD_FUNC_NR, "GPU (CUDA) NR" }, { OFFLOAD_FUNC_EMB, "GPU (CUDA) EMB" }, #else { OFFLOAD_FUNC, "CPU" }, - { OFFLOAD_FUNC_KQ, "CPU" }, - { OFFLOAD_FUNC_V, "CPU" }, + { OFFLOAD_FUNC_FRC, "CPU" }, + { OFFLOAD_FUNC_KQV, "CPU" }, { OFFLOAD_FUNC_NR, "CPU" }, { OFFLOAD_FUNC_EMB, "CPU" }, #endif // GGML_USE_CUBLAS @@ -4902,18 +5950,23 @@ static struct ggml_cgraph * llama_build_graph( } } break; - case OFFLOAD_FUNC_NR: - if (n_gpu_layers <= n_layer + 0) { + case OFFLOAD_FUNC_FRC: + if (!lctx.cparams.offload_kqv) { func_e = OFFLOAD_FUNC_NOP; - } - break; - case OFFLOAD_FUNC_V: - if (n_gpu_layers <= n_layer + 1) { + } break; + case OFFLOAD_FUNC_KQV: + if (!lctx.cparams.offload_kqv) { func_e = OFFLOAD_FUNC_NOP; + } else { + if (n_gpu_layers < n_layer) { + if (il < i_gpu_start) { + func_e = OFFLOAD_FUNC_NOP; + } + } } break; - case OFFLOAD_FUNC_KQ: - if (n_gpu_layers <= n_layer + 2) { + case OFFLOAD_FUNC_NR: + if (n_gpu_layers <= n_layer + 0) { func_e = OFFLOAD_FUNC_NOP; } break; @@ -4928,7 +5981,7 @@ static struct ggml_cgraph * llama_build_graph( offload_func_t func = ggml_offload_nop; // this is needed for compatibility with Metal for example -#ifdef GGML_USE_CUBLAS +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) static offload_func_t ggml_offload_gpu = ggml_cuda_assign_buffers_no_alloc; #else static offload_func_t ggml_offload_gpu = ggml_offload_nop; @@ -4938,8 +5991,8 @@ static struct ggml_cgraph * llama_build_graph( case OFFLOAD_FUNC_NOP: case OFFLOAD_FUNC_OUT: func = ggml_offload_nop; break; case OFFLOAD_FUNC: - case OFFLOAD_FUNC_KQ: - case OFFLOAD_FUNC_V: + case OFFLOAD_FUNC_KQV: + case OFFLOAD_FUNC_FRC: case OFFLOAD_FUNC_NR: case OFFLOAD_FUNC_EMB: func = ggml_offload_gpu; break; default: GGML_ASSERT(false); @@ -4994,6 +6047,18 @@ static struct ggml_cgraph * llama_build_graph( { result = llm.build_mpt(); } break; + case LLM_ARCH_STABLELM: + { + result = llm.build_stablelm(); + } break; + case LLM_ARCH_QWEN: + { + result = llm.build_qwen(); + } break; + case LLM_ARCH_PHI2: + { + result = llm.build_phi2(); + } break; default: GGML_ASSERT(false); } @@ -5071,7 +6136,7 @@ static int llama_decode_internal( const int64_t n_embd = hparams.n_embd; const int64_t n_vocab = hparams.n_vocab; - // helpers for smoother batch API transistion + // helpers for smoother batch API transition // after deprecating the llama_eval calls, these will be removed std::vector pos; @@ -5103,6 +6168,12 @@ static int llama_decode_internal( batch.seq_id = seq_id_arr.data(); } + // if we have enough unused cells before the current head -> + // better to start searching from the beginning of the cache, hoping to fill it + if (kv_self.head > kv_self.used + 2*n_tokens) { + kv_self.head = 0; + } + if (!llama_kv_cache_find_slot(kv_self, batch)) { return 1; } @@ -5110,10 +6181,10 @@ static int llama_decode_internal( // a heuristic, to avoid attending the full cache if it is not yet utilized // after enough generations, the benefit from this heuristic disappears // if we start defragmenting the cache, the benefit from this will be more important - //kv_self.n = std::max(32, GGML_PAD(llama_kv_cache_cell_max(kv_self), 32)); // TODO: this might be better for CUDA? - kv_self.n = std::min((int32_t) cparams.n_ctx, std::max(32, llama_kv_cache_cell_max(kv_self))); + kv_self.n = std::min((int32_t) cparams.n_ctx, std::max(32, GGML_PAD(llama_kv_cache_cell_max(kv_self), 32))); + //kv_self.n = llama_kv_cache_cell_max(kv_self); - //printf("kv_self.n = %d\n", kv_self.n); + //printf("kv_self.n = %5d, kv_self.used = %5d, kv_self.head = %5d\n", kv_self.n, kv_self.used, kv_self.head); ggml_allocr_reset(lctx.alloc); @@ -5121,18 +6192,23 @@ static int llama_decode_internal( ggml_allocr_alloc_graph(lctx.alloc, gf); - struct ggml_tensor * res = gf->nodes[gf->n_nodes - 1]; - struct ggml_tensor * embeddings = gf->nodes[gf->n_nodes - 2]; - - GGML_ASSERT(strcmp(res->name, "result_output") == 0); - GGML_ASSERT(strcmp(embeddings->name, "result_norm") == 0); + // the output is always the last tensor in the graph + struct ggml_tensor * res = gf->nodes[gf->n_nodes - 1]; + GGML_ASSERT(strcmp(res->name, "result_output") == 0); + // the embeddings could be the second to last tensor, or the third to last tensor + struct ggml_tensor * embeddings = gf->nodes[gf->n_nodes - 2]; + if (strcmp(embeddings->name, "result_norm") != 0) { + embeddings = gf->nodes[gf->n_nodes - 3]; + GGML_ASSERT(strcmp(embeddings->name, "result_norm") == 0); + } -#ifdef GGML_USE_CUBLAS +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) + char * buf_alloc_base = (char *)ggml_backend_buffer_get_base(lctx.buf_alloc); for (int i = 0; i < gf->n_leafs; i++) { ggml_tensor * node = gf->leafs[i]; if (node->backend == GGML_BACKEND_GPU && node->extra == NULL) { - ggml_cuda_assign_scratch_offset(node, (char*)node->data - (char *) lctx.buf_alloc.data); + ggml_cuda_assign_scratch_offset(node, (char *)node->data - buf_alloc_base); ggml_cuda_copy_to_device(node); } } @@ -5140,7 +6216,7 @@ static int llama_decode_internal( for (int i = 0; i < gf->n_nodes; i++) { ggml_tensor * node = gf->nodes[i]; if (node->backend == GGML_BACKEND_GPU && node->extra == NULL) { - ggml_cuda_assign_scratch_offset(node, (char*)node->data - (char *) lctx.buf_alloc.data); + ggml_cuda_assign_scratch_offset(node, (char *)node->data - buf_alloc_base); } } @@ -5162,36 +6238,28 @@ static int llama_decode_internal( n_threads = std::min(4, n_threads); } - // If all tensors can be run on the GPU then using more than 1 thread is detrimental. - const bool full_offload_supported = - model.arch == LLM_ARCH_LLAMA || - model.arch == LLM_ARCH_BAICHUAN || - model.arch == LLM_ARCH_FALCON || - model.arch == LLM_ARCH_REFACT || - model.arch == LLM_ARCH_MPT; - - const bool fully_offloaded = model.n_gpu_layers >= (int) hparams.n_layer + 3; - if (ggml_cpu_has_cublas() && full_offload_supported && fully_offloaded) { + const bool fully_offloaded = model.n_gpu_layers >= (int) hparams.n_layer + 1; + if (ggml_cpu_has_cublas() && fully_offloaded) { n_threads = 1; } -#if GGML_USE_MPI +#ifdef GGML_USE_MPI const int64_t n_layer = hparams.n_layer; ggml_mpi_graph_compute_pre(lctx.ctx_mpi, gf, n_layer); #endif #ifdef GGML_USE_METAL - if (lctx.ctx_metal) { - ggml_metal_set_n_cb (lctx.ctx_metal, n_threads); - ggml_metal_graph_compute(lctx.ctx_metal, gf); - } else { - ggml_graph_compute_helper(lctx.work_buffer, gf, n_threads); + if (ggml_backend_is_metal(lctx.backend)) { + ggml_backend_metal_set_n_cb(lctx.backend, n_threads); } -#else - ggml_graph_compute_helper(lctx.work_buffer, gf, n_threads); #endif -#if GGML_USE_MPI + if (ggml_backend_is_cpu(lctx.backend)) { + ggml_backend_cpu_set_n_threads(lctx.backend, n_threads); + } + ggml_backend_graph_compute(lctx.backend, gf); + +#ifdef GGML_USE_MPI ggml_mpi_graph_compute_post(lctx.ctx_mpi, gf, n_layer); #endif @@ -5229,20 +6297,37 @@ static int llama_decode_internal( { auto & logits_out = lctx.logits; +#ifndef NDEBUG + auto & logits_valid = lctx.logits_valid; + logits_valid.clear(); + logits_valid.resize(n_tokens); + + logits_out.clear(); +#endif + if (batch.logits) { logits_out.resize(n_vocab * n_tokens); for (uint32_t i = 0; i < n_tokens; i++) { if (batch.logits[i] == 0) { continue; } - memcpy(logits_out.data() + (n_vocab*i), (float *) ggml_get_data(res) + (n_vocab*i), sizeof(float)*n_vocab); + ggml_backend_tensor_get(res, logits_out.data() + (n_vocab*i), (n_vocab*i)*sizeof(float), n_vocab*sizeof(float)); +#ifndef NDEBUG + logits_valid[i] = true; +#endif } } else if (lctx.logits_all) { logits_out.resize(n_vocab * n_tokens); - memcpy(logits_out.data(), (float *) ggml_get_data(res), sizeof(float)*n_vocab*n_tokens); + ggml_backend_tensor_get(res, logits_out.data(), 0, n_vocab*n_tokens*sizeof(float)); +#ifndef NDEBUG + std::fill(logits_valid.begin(), logits_valid.end(), true); +#endif } else { logits_out.resize(n_vocab); - memcpy(logits_out.data(), (float *) ggml_get_data(res) + (n_vocab*(n_tokens - 1)), sizeof(float)*n_vocab); + ggml_backend_tensor_get(res, logits_out.data(), (n_vocab*(n_tokens - 1))*sizeof(float), n_vocab*sizeof(float)); +#ifndef NDEBUG + logits_valid[0] = true; +#endif } } @@ -5251,7 +6336,7 @@ static int llama_decode_internal( auto & embedding_out = lctx.embedding; embedding_out.resize(n_embd); - memcpy(embedding_out.data(), (float *) ggml_get_data(embeddings) + (n_embd*(n_tokens - 1)), sizeof(float)*n_embd); + ggml_backend_tensor_get(embeddings, embedding_out.data(), (n_embd*(n_tokens - 1))*sizeof(float), n_embd*sizeof(float)); } // measure the performance only for the single-token evals @@ -5852,12 +6937,12 @@ static void tokenizer_st_partition(const llama_vocab & vocab, std::forward_list< // loop over the text while (true) { - // find the first occurence of a given special token in this fragment + // find the first occurrence of a given special token in this fragment // passing offset argument only limit the "search area" but match coordinates // are still relative to the source full raw_text auto match = raw_text->find(special_token, raw_text_base_offset); - // no occurences found, stop processing this fragment for a given special token + // no occurrences found, stop processing this fragment for a given special token if (match == std::string::npos) break; // check if match is within bounds of offset <-> length @@ -5960,7 +7045,10 @@ static std::vector llama_tokenize_internal(const llama_vocab & // by modifying llm_tokenizer_x to operate with string offsets like pre-tokenizer // and passing 'add space prefix' as bool argument // - auto raw_text = (special ? "" : " ") + fragment.raw_text.substr(fragment.offset, fragment.length); + auto raw_text = fragment.raw_text.substr(fragment.offset, fragment.length); + if (&fragment == &fragment_buffer.front()) { + raw_text = " " + raw_text; // prefix with space if the first token is not special + } #ifdef PRETOKENIZERDEBUG fprintf(stderr,"TT: (%ld %ld %ld) '%s'\n", raw_text.length(), fragment.offset, fragment.length, raw_text.c_str()); @@ -6026,11 +7114,13 @@ struct llama_grammar_candidate { // Decodes a UTF-8 string which may end in an incomplete sequence. Adds a terminating 0 for use as // pointer. If an invalid sequence is encountered, returns `llama_partial_utf8.n_remain == -1`. static std::pair, llama_partial_utf8> decode_utf8( - const char * src, + const std::string & src, llama_partial_utf8 partial_start) { static const int lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 2, 2, 3, 4 }; - const char * pos = src; + const char * pos = src.c_str(); std::vector code_points; + // common english strings have the same number of codepoints and bytes. `+ 1` for the terminating 0. + code_points.reserve(src.size() + 1); uint32_t value = partial_start.value; int n_remain = partial_start.n_remain; @@ -6634,6 +7724,7 @@ void llama_sample_typical(struct llama_context * ctx, llama_token_data_array * c // Replace the data in candidates with the new_candidates data std::copy(new_candidates.begin(), new_candidates.end(), candidates->data); candidates->size = new_candidates.size(); + candidates->sorted = false; if (ctx) { ctx->t_sample_us += ggml_time_us() - t_start_sample_us; @@ -6718,7 +7809,9 @@ void llama_sample_grammar(struct llama_context * ctx, llama_token_data_array * c const llama_token eos = llama_token_eos(&ctx->model); std::vector, llama_partial_utf8>> candidates_decoded; + candidates_decoded.reserve(candidates->size); std::vector candidates_grammar; + candidates_grammar.reserve(candidates->size); for (size_t i = 0; i < candidates->size; ++i) { const llama_token id = candidates->data[i].id; @@ -6730,7 +7823,7 @@ void llama_sample_grammar(struct llama_context * ctx, llama_token_data_array * c } else if (piece.empty() || piece[0] == 0) { candidates->data[i].logit = -INFINITY; } else { - candidates_decoded.push_back(decode_utf8(piece.c_str(), grammar->partial_utf8)); + candidates_decoded.push_back(decode_utf8(piece, grammar->partial_utf8)); candidates_grammar.push_back({ i, candidates_decoded.back().first.data(), candidates_decoded.back().second }); } } @@ -6937,7 +8030,7 @@ void llama_grammar_accept_token(struct llama_context * ctx, struct llama_grammar const std::string piece = llama_token_to_piece(ctx, token); // Note terminating 0 in decoded string - const auto decoded = decode_utf8(piece.c_str(), grammar->partial_utf8); + const auto decoded = decode_utf8(piece, grammar->partial_utf8); const auto & code_points = decoded.first; for (auto it = code_points.begin(), end = code_points.end() - 1; it != end; ++it) { grammar->stacks = llama_grammar_accept(grammar->rules, grammar->stacks, *it); @@ -7048,7 +8141,7 @@ struct llama_beam_search_data { } // Min-heaps are used to efficiently collect the top-k elements (k=n_beams). - // The repetative patterns below reflect the 2 stages of heaps: + // The repetitive patterns below reflect the 2 stages of heaps: // * Gather elements until the vector is full, then call std::make_heap() on it. // * If the heap is full and a new element is found that should be included, pop the // least element to the back(), replace it with the new, then push it into the heap. @@ -7201,12 +8294,6 @@ void llama_beam_search(llama_context * ctx, // quantization // -template -struct no_init { - T value; - no_init() { /* do nothing */ } -}; - struct quantize_state_internal { const llama_model & model; const llama_model_quantize_params * params; @@ -7255,18 +8342,21 @@ static void llama_convert_tensor_internal( return; } - auto block_size = tensor->type == GGML_TYPE_F16 ? 1 : (size_t)ggml_blck_size(tensor->type); - auto block_size_bytes = ggml_type_size(tensor->type); + size_t block_size = tensor->type == GGML_TYPE_F16 ? 1 : (size_t)ggml_blck_size(tensor->type); + size_t block_size_bytes = ggml_type_size(tensor->type); GGML_ASSERT(nelements % block_size == 0); - auto nblocks = nelements / block_size; - auto blocks_per_thread = nblocks / nthread; - auto spare_blocks = nblocks - (blocks_per_thread * nthread); // if blocks aren't divisible by thread count + size_t nblocks = nelements / block_size; + size_t blocks_per_thread = nblocks / nthread; + size_t spare_blocks = nblocks - (blocks_per_thread * nthread); // if blocks aren't divisible by thread count + + size_t in_buff_offs = 0; + size_t out_buff_offs = 0; - for (auto tnum = 0, in_buff_offs = 0, out_buff_offs = 0; tnum < nthread; tnum++) { - auto thr_blocks = blocks_per_thread + (tnum == nthread - 1 ? spare_blocks : 0); // num blocks for this thread - auto thr_elems = thr_blocks * block_size; // number of elements for this thread - auto thr_block_bytes = thr_blocks * block_size_bytes; // number of input bytes for this thread + for (int tnum = 0; tnum < nthread; tnum++) { + size_t thr_blocks = blocks_per_thread + (tnum == nthread - 1 ? spare_blocks : 0); // num blocks for this thread + size_t thr_elems = thr_blocks * block_size; // number of elements for this thread + size_t thr_block_bytes = thr_blocks * block_size_bytes; // number of input bytes for this thread auto compute = [qtype] (ggml_type typ, uint8_t * inbuf, float * outbuf, int nels) { if (typ == GGML_TYPE_F16) { @@ -7283,11 +8373,9 @@ static void llama_convert_tensor_internal( workers.clear(); } -static ggml_type get_k_quant_type( - quantize_state_internal & qs, - ggml_type new_type, const ggml_tensor * tensor, llama_ftype ftype -) { +static ggml_type get_k_quant_type(quantize_state_internal & qs, ggml_type new_type, const ggml_tensor * tensor, llama_ftype ftype) { const std::string name = ggml_get_name(tensor); + // TODO: avoid hardcoded tensor names - use the TN_* constants const llm_arch arch = qs.model.arch; const auto tn = LLM_TN(arch); @@ -7321,7 +8409,18 @@ static ggml_type get_k_quant_type( // nearly negligible increase in model size by quantizing this tensor with more bits: if (new_type == GGML_TYPE_Q3_K || new_type == GGML_TYPE_Q4_K) new_type = GGML_TYPE_Q5_K; } + if (qs.model.hparams.n_expert == 8) { + // for the 8-expert model, bumping this to Q8_0 trades just ~128MB + // TODO: explore better strategies + new_type = GGML_TYPE_Q8_0; + } ++qs.i_attention_wv; + } else if (name.find("attn_k.weight") != std::string::npos) { + if (qs.model.hparams.n_expert == 8) { + // for the 8-expert model, bumping this to Q8_0 trades just ~128MB + // TODO: explore better strategies + new_type = GGML_TYPE_Q8_0; + } } else if (name.find("ffn_down.weight") != std::string::npos) { if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q3_K; else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M) { @@ -7436,10 +8535,8 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s constexpr bool use_mmap = false; #endif - llama_model_loader ml(fname_inp, use_mmap); - if (ml.use_mmap) { - ml.mapping.reset(new llama_mmap(&ml.file, /* prefetch */ 0, ggml_is_numa())); - } + llama_model_loader ml(fname_inp, use_mmap, NULL); + ml.init_mapping(false); // no prefetching? llama_model model; llm_load_arch(ml, model); @@ -7530,10 +8627,13 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s bool quantize = name.rfind("weight") == name.size() - 6; // ends with 'weight'? // quantize only 2D tensors - quantize &= (tensor->n_dims == 2); + quantize &= (ggml_n_dims(tensor) == 2); quantize &= params->quantize_output_tensor || name != "output.weight"; quantize &= !params->only_copy; + // do not quantize expert gating tensors + quantize &= name.find("ffn_gate_inp.weight") == std::string::npos; + enum ggml_type new_type; void * new_data; size_t new_size; @@ -7612,7 +8712,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s workers.clear(); } - LLAMA_LOG_INFO("size = %8.2f MB -> %8.2f MB | hist: ", ggml_nbytes(tensor)/1024.0/1024.0, new_size/1024.0/1024.0); + LLAMA_LOG_INFO("size = %8.2f MiB -> %8.2f MiB | hist: ", ggml_nbytes(tensor)/1024.0/1024.0, new_size/1024.0/1024.0); int64_t tot_count = 0; for (size_t i = 0; i < hist_cur.size(); i++) { hist_all[i] += hist_cur[i]; @@ -7682,74 +8782,63 @@ static int llama_apply_lora_from_file_internal( const int64_t t_start_lora_us = ggml_time_us(); - auto fin = std::ifstream(path_lora, std::ios::binary); - if (!fin) { - LLAMA_LOG_ERROR("%s: failed to open '%s'\n", __func__, path_lora); - return 1; - } + llama_file fin(path_lora, "rb"); // verify magic and version { - uint32_t magic; - fin.read((char *) &magic, sizeof(magic)); - uint32_t format_version; - fin.read((char *) &format_version, sizeof(format_version)); + uint32_t magic = fin.read_u32(); + if (magic != LLAMA_FILE_MAGIC_GGLA) { + LLAMA_LOG_ERROR("%s: bad file magic\n", __func__); + return 1; + } + uint32_t format_version = fin.read_u32(); if (format_version != 1) { LLAMA_LOG_ERROR("%s: unsupported file version\n", __func__ ); return 1; } } - int32_t lora_r; - int32_t lora_alpha; - fin.read((char *) &lora_r, sizeof(lora_r)); - fin.read((char *) &lora_alpha, sizeof(lora_alpha)); + int32_t lora_r = fin.read_u32(); + int32_t lora_alpha = fin.read_u32(); float scaling = scale * (float)lora_alpha / (float)lora_r; LLAMA_LOG_INFO("%s: r = %d, alpha = %d, scaling = %.2f\n", __func__, lora_r, lora_alpha, scaling); + // create a name -> tensor map of the model to accelerate lookups + // find the max tensor size to estimate the required temporary buffer size + size_t max_tensor_size = 0; + std::unordered_map model_tensors; + for (const auto & kv : model.tensors_by_name) { + model_tensors.insert(kv); + size_t f32_size = ggml_nelements(kv.second) * sizeof(float); + max_tensor_size = std::max(max_tensor_size, f32_size); + } + // create a temporary ggml context to store the lora tensors - // todo: calculate size from biggest possible tensor - std::vector lora_buf(1024ull * 1024ull * 1024ull); + // TODO: use ggml-alloc + size_t lora_ctx_size = max_tensor_size * 3; + LLAMA_LOG_INFO("%s: allocating %.f MB for lora temporary buffer\n", __func__, lora_ctx_size / 1024.0 / 1024.0); + std::vector lora_buf(lora_ctx_size); + struct ggml_init_params params; params.mem_size = lora_buf.size(); params.mem_buffer = lora_buf.data(); params.no_alloc = false; - ggml_context * lora_ctx = ggml_init(params); - std::unordered_map lora_tensors; + using unique_context = std::unique_ptr; - // create a name -> tensor map of the model to accelerate lookups - std::unordered_map model_tensors; - for (const auto & kv : model.tensors_by_name) { - model_tensors.insert(kv); - } + unique_context lora_ctx(nullptr, ggml_free); + lora_ctx.reset(ggml_init(params)); + std::unordered_map lora_tensors; // load base model std::unique_ptr ml; - ggml_context * base_ctx = NULL; - std::vector base_buf; - if (path_base_model) { - LLAMA_LOG_INFO("%s: loading base model from '%s'\n", __func__, path_base_model); - ml.reset(new llama_model_loader(path_base_model, /*use_mmap*/ true)); - - size_t ctx_size; - size_t mmapped_size; - ml->calc_sizes(ctx_size, mmapped_size); - base_buf.resize(ctx_size); - ggml_init_params base_params; - base_params.mem_size = base_buf.size(); - base_params.mem_buffer = base_buf.data(); - base_params.no_alloc = ml->use_mmap; - - base_ctx = ggml_init(base_params); - - // maybe this should in llama_model_loader - if (ml->use_mmap) { - ml->mapping.reset(new llama_mmap(&ml->file, /* prefetch */ 0, ggml_is_numa())); - } + if (path_base_model) { + LLAMA_LOG_INFO("%s: loading base model from '%s'\n", __func__, path_base_model); + ml.reset(new llama_model_loader(path_base_model, /*use_mmap*/ true, /*kv_overrides*/ nullptr)); + ml->init_mapping(false); // no prefetching } // read tensors and apply @@ -7759,27 +8848,35 @@ static int llama_apply_lora_from_file_internal( std::vector work_buffer; while (true) { + if (fin.tell() == fin.size) { + // eof + break; + } + int32_t n_dims; - int32_t length; + int32_t name_len; int32_t ftype; - fin.read(reinterpret_cast(&n_dims), sizeof(n_dims)); - fin.read(reinterpret_cast(&length), sizeof(length)); - fin.read(reinterpret_cast(&ftype), sizeof(ftype)); - if (fin.eof()) { - break; + fin.read_raw(&n_dims, sizeof(n_dims)); + fin.read_raw(&name_len, sizeof(name_len)); + fin.read_raw(&ftype, sizeof(ftype)); + + if (n_dims != 1 && n_dims != 2) { + LLAMA_LOG_ERROR("%s: unsupported tensor dimension %d\n", __func__, n_dims); + return 1; } int32_t ne[2] = { 1, 1 }; for (int i = 0; i < n_dims; ++i) { - fin.read(reinterpret_cast(&ne[i]), sizeof(ne[i])); + fin.read_raw(&ne[i], sizeof(ne[i])); } std::string name; { + GGML_ASSERT(name_len <= 1024); char buf[1024]; - fin.read(buf, length); - name = std::string(buf, length); + fin.read_raw(buf, name_len); + name = std::string(buf, name_len); } // check for lora suffix and get the type of tensor @@ -7793,7 +8890,7 @@ static int llama_apply_lora_from_file_internal( std::string lora_type = name.substr(pos + lora_suffix.length()); std::string base_name = name; base_name.erase(pos); - // LLAMA_LOG_INFO("%s: %s => %s (lora type %s) \n", __func__, name.c_str(),base_name.c_str(), lora_type.c_str()); + // LLAMA_LOG_INFO("%s: %s => %s (lora type %s) \n", __func__, name.c_str(), base_name.c_str(), lora_type.c_str()); if (model_tensors.find(base_name) == model_tensors.end()) { LLAMA_LOG_ERROR("%s: unknown tensor '%s' in lora adapter\n", __func__, name.data()); @@ -7812,22 +8909,15 @@ static int llama_apply_lora_from_file_internal( return false; } } - ggml_tensor * lora_tensor; - if (n_dims == 2) { - lora_tensor = ggml_new_tensor_2d(lora_ctx, wtype, ne[0], ne[1]); - } - else { - LLAMA_LOG_ERROR("%s: unsupported tensor dimension %d\n", __func__, n_dims); - return 1; - } - ggml_set_name(lora_tensor, "lora_tensor"); + ggml_tensor * lora_tensor = ggml_new_tensor_2d(lora_ctx.get(), wtype, ne[0], ne[1]); + ggml_set_name(lora_tensor, name.c_str()); // load tensor data - size_t offset = fin.tellg(); + size_t offset = fin.tell(); size_t tensor_data_size = ggml_nbytes(lora_tensor); offset = (offset + 31) & -32; - fin.seekg(offset); - fin.read((char*)lora_tensor->data, tensor_data_size); + fin.seek(offset, SEEK_SET); + fin.read_raw(lora_tensor->data, tensor_data_size); lora_tensors[name] = lora_tensor; @@ -7840,7 +8930,7 @@ static int llama_apply_lora_from_file_internal( offload_func_t offload_func = ggml_offload_nop; offload_func_t offload_func_force_inplace = ggml_offload_nop; -#ifdef GGML_USE_CUBLAS +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) if (dest_t->backend == GGML_BACKEND_GPU || dest_t->backend == GGML_BACKEND_GPU_SPLIT) { if (dest_t->type != GGML_TYPE_F16) { throw std::runtime_error(format( @@ -7857,13 +8947,11 @@ static int llama_apply_lora_from_file_internal( // load from base model if (gguf_find_tensor(ctx_gguf, base_name.c_str()) < 0) { - // TODO: throw LLAMA_LOG_ERROR("%s: error: tensor '%s' not found in base model\n", __func__, base_name.c_str()); return 1; } - // TODO: not tested!! maybe not working! - base_t = ml->create_tensor(base_ctx, base_name, { (uint32_t)dest_t->ne[0], (uint32_t)dest_t->ne[1] }, GGML_BACKEND_CPU); + base_t = ml->get_tensor_meta(base_name.c_str()); ml->load_data_for(base_t); } else { base_t = dest_t; @@ -7892,43 +8980,42 @@ static int llama_apply_lora_from_file_internal( } // w = w + BA*s - ggml_tensor * BA = ggml_mul_mat(lora_ctx, loraA, loraB); + ggml_tensor * BA = ggml_mul_mat(lora_ctx.get(), loraA, loraB); offload_func(BA); ggml_set_name(BA, "BA"); if (scaling != 1.0f) { - ggml_tensor * scale_tensor = ggml_new_f32(lora_ctx, scaling); - ggml_set_name(scale_tensor, "scale_tensor"); - - BA = ggml_scale_inplace(lora_ctx, BA, scale_tensor); + BA = ggml_scale_inplace(lora_ctx.get(), BA, scaling); offload_func(BA); ggml_set_name(BA, "BA_scaled"); } ggml_tensor * r; if (base_t == dest_t) { - r = ggml_add_inplace(lora_ctx, dest_t, BA); + r = ggml_add_inplace(lora_ctx.get(), dest_t, BA); offload_func_force_inplace(r); ggml_set_name(r, "r_add_inplace"); } else { - r = ggml_add(lora_ctx, base_t, BA); + r = ggml_add(lora_ctx.get(), base_t, BA); offload_func(r); ggml_set_name(r, "r_add"); - r = ggml_cpy(lora_ctx, r, dest_t); + r = ggml_cpy(lora_ctx.get(), r, dest_t); offload_func(r); ggml_set_name(r, "r_cpy"); } - struct ggml_cgraph * gf = ggml_new_graph(lora_ctx); + struct ggml_cgraph * gf = ggml_new_graph(lora_ctx.get()); ggml_build_forward_expand(gf, r); ggml_graph_compute_helper(work_buffer, gf, n_threads); + // the tensors in the adapter must be sorted such that loraA and loraB of the same tensor are next to each other + GGML_ASSERT(lora_tensors.size() == 2); + // we won't need these tensors again, reset the context to save memory - ggml_free(lora_ctx); - lora_ctx = ggml_init(params); + lora_ctx.reset(ggml_init(params)); lora_tensors.clear(); n_tensors++; @@ -7938,12 +9025,6 @@ static int llama_apply_lora_from_file_internal( } } - // TODO: this should be in a destructor, it will leak on failure - ggml_free(lora_ctx); - if (base_ctx) { - ggml_free(base_ctx); - } - const int64_t t_lora_us = ggml_time_us() - t_start_lora_us; LLAMA_LOG_INFO(" done (%.2f ms)\n", t_lora_us / 1000.0); @@ -7960,6 +9041,7 @@ struct llama_model_params llama_model_default_params() { /*.tensor_split =*/ nullptr, /*.progress_callback =*/ nullptr, /*.progress_callback_user_data =*/ nullptr, + /*.kv_overrides =*/ nullptr, /*.vocab_only =*/ false, /*.use_mmap =*/ true, /*.use_mlock =*/ false, @@ -7987,10 +9069,12 @@ struct llama_context_params llama_context_default_params() { /*.yarn_beta_fast =*/ 32.0f, /*.yarn_beta_slow =*/ 1.0f, /*.yarn_orig_ctx =*/ 0, + /*.type_k =*/ GGML_TYPE_F16, + /*.type_v =*/ GGML_TYPE_F16, /*.mul_mat_q =*/ true, - /*.f16_kv =*/ true, /*.logits_all =*/ false, /*.embedding =*/ false, + /*.offload_kqv =*/ true, }; return result; @@ -8070,11 +9154,18 @@ struct llama_model * llama_load_model_from_file( LLAMA_LOG_INFO("\n"); } } + return true; }; } - if (!llama_model_load(path_model, *model, params)) { - LLAMA_LOG_ERROR("%s: failed to load model\n", __func__); + int status = llama_model_load(path_model, *model, params); + GGML_ASSERT(status <= 0); + if (status < 0) { + if (status == -1) { + LLAMA_LOG_ERROR("%s: failed to load model\n", __func__); + } else if (status == -2) { + LLAMA_LOG_INFO("%s: cancelled model load\n", __func__); + } delete model; return nullptr; } @@ -8107,6 +9198,7 @@ struct llama_context * llama_new_context_with_model( cparams.yarn_beta_fast = params.yarn_beta_fast; cparams.yarn_beta_slow = params.yarn_beta_slow; cparams.mul_mat_q = params.mul_mat_q; + cparams.offload_kqv = params.offload_kqv; cparams.n_ctx = params.n_ctx == 0 ? hparams.n_ctx_train : params.n_ctx; cparams.rope_freq_base = params.rope_freq_base == 0.0f ? hparams.rope_freq_base_train : params.rope_freq_base; @@ -8140,19 +9232,68 @@ struct llama_context * llama_new_context_with_model( ctx->rng = std::mt19937(params.seed); ctx->logits_all = params.logits_all; - ggml_type memory_type = params.f16_kv ? GGML_TYPE_F16 : GGML_TYPE_F32; + const ggml_type type_k = params.type_k; + const ggml_type type_v = params.type_v; + + GGML_ASSERT(hparams.n_embd_head() % ggml_blck_size(type_k) == 0); + GGML_ASSERT(hparams.n_embd_head() % ggml_blck_size(type_v) == 0); // reserve memory for context buffers if (!hparams.vocab_only) { - if (!llama_kv_cache_init(ctx->model.hparams, ctx->kv_self, memory_type, cparams.n_ctx, model->n_gpu_layers)) { + // initialize backend +#ifdef GGML_USE_METAL + if (model->n_gpu_layers > 0) { + ctx->backend = ggml_backend_metal_init(); + if (ctx->backend == nullptr) { + LLAMA_LOG_ERROR("%s: failed to initialize Metal backend\n", __func__); + } + } +#elif defined(GGML_USE_CUBLAS) && defined(LLAMA_GGML_BACKEND_CUDA_TEST) + // for testing only + if (model->n_gpu_layers > 0) { + ctx->backend = ggml_backend_cuda_init(0); + if (ctx->backend == nullptr) { + LLAMA_LOG_ERROR("%s: failed to initialize CUDA backend\n", __func__); + } + } +#endif + + if (ctx->backend == nullptr && ggml_backend_buffer_is_host(model->buf)) { + ctx->backend = ggml_backend_cpu_init(); + if (ctx->backend == nullptr) { + LLAMA_LOG_ERROR("%s: failed to initialize CPU backend\n", __func__); + } + } + + if (ctx->backend == nullptr) { + LLAMA_LOG_ERROR("%s: failed to initialize a backend\n", __func__); + delete ctx; + return nullptr; + } + + if (!llama_kv_cache_init(ctx->model.hparams, ctx->kv_self, type_k, type_v, + cparams.n_ctx, model->n_gpu_layers, cparams.offload_kqv)) { LLAMA_LOG_ERROR("%s: llama_kv_cache_init() failed for self-attention cache\n", __func__); llama_free(ctx); return nullptr; } { - const size_t memory_size = ggml_nbytes(ctx->kv_self.k) + ggml_nbytes(ctx->kv_self.v); - LLAMA_LOG_INFO("%s: kv self size = %7.2f MB\n", __func__, memory_size / 1024.0 / 1024.0); + size_t memory_size_k = 0; + size_t memory_size_v = 0; + + for (auto & k : ctx->kv_self.k_l) { + memory_size_k += ggml_nbytes(k); + } + + for (auto & v : ctx->kv_self.v_l) { + memory_size_v += ggml_nbytes(v); + } + + LLAMA_LOG_INFO("%s: KV self size = %7.2f MiB, K (%s): %7.2f MiB, V (%s): %7.2f MiB\n", __func__, + (float)(memory_size_k + memory_size_v) / (1024.0f * 1024.0f), + ggml_type_name(type_k), (float)memory_size_k / (1024.0f * 1024.0f), + ggml_type_name(type_v), (float)memory_size_v / (1024.0f * 1024.0f)); } // resized during inference @@ -8167,12 +9308,11 @@ struct llama_context * llama_new_context_with_model( } { - static const size_t tensor_alignment = 32; // the compute buffer is used to store the tensor and graph structs, while the allocator buffer is used for the tensor data - ctx->buf_compute.resize(ggml_tensor_overhead()*GGML_DEFAULT_GRAPH_SIZE + ggml_graph_overhead()); + ctx->buf_compute_meta.resize(ggml_tensor_overhead()*LLAMA_MAX_NODES + ggml_graph_overhead()); // create measure allocator - ctx->alloc = ggml_allocr_new_measure(tensor_alignment); + ctx->alloc = ggml_allocr_new_measure_from_backend(ctx->backend); // build worst-case graph int n_tokens = (int)std::min(cparams.n_ctx, cparams.n_batch); @@ -8180,96 +9320,50 @@ struct llama_context * llama_new_context_with_model( llama_token token = llama_token_bos(&ctx->model); // not actually used by llama_build_graph, but required to choose between token and embedding inputs graph ggml_cgraph * gf = llama_build_graph(*ctx, llama_batch_get_one(&token, n_tokens, n_past, 0)); -#ifdef GGML_USE_METAL - if (model->n_gpu_layers > 0) { - ggml_metal_log_set_callback(llama_log_callback_default, NULL); - - ctx->ctx_metal = ggml_metal_init(1); - if (!ctx->ctx_metal) { - LLAMA_LOG_ERROR("%s: ggml_metal_init() failed\n", __func__); - llama_free(ctx); - return NULL; - } - //ggml_metal_graph_find_concurrency(ctx->ctx_metal, gf, false); - //ggml_allocr_set_parse_seq(ctx->alloc, ggml_metal_get_concur_list(ctx->ctx_metal), ggml_metal_if_optimized(ctx->ctx_metal)); - } -#endif // measure memory requirements for the graph - size_t alloc_size = ggml_allocr_alloc_graph(ctx->alloc, gf) + tensor_alignment; + size_t alloc_size = ggml_allocr_alloc_graph(ctx->alloc, gf); - LLAMA_LOG_INFO("%s: compute buffer total size = %.2f MB\n", __func__, (ctx->buf_compute.size + alloc_size) / 1024.0 / 1024.0); + LLAMA_LOG_INFO("%s: compute buffer total size = %.2f MiB\n", __func__, (ctx->buf_compute_meta.size() + alloc_size) / 1024.0 / 1024.0); - // recreate allocator with exact memory requirements + // create allocator again with exact memory requirements ggml_allocr_free(ctx->alloc); - ctx->buf_alloc.resize(alloc_size); - ctx->alloc = ggml_allocr_new(ctx->buf_alloc.data, ctx->buf_alloc.size, tensor_alignment); -#ifdef GGML_USE_METAL - if (ctx->ctx_metal) { - //ggml_allocr_set_parse_seq(ctx->alloc, ggml_metal_get_concur_list(ctx->ctx_metal), ggml_metal_if_optimized(ctx->ctx_metal)); - } -#endif -#ifdef GGML_USE_CUBLAS - ggml_cuda_set_scratch_size(alloc_size); - LLAMA_LOG_INFO("%s: VRAM scratch buffer: %.2f MB\n", __func__, alloc_size / 1024.0 / 1024.0); + ctx->buf_alloc = ggml_backend_alloc_buffer(ctx->backend, alloc_size); + ctx->alloc = ggml_allocr_new_from_buffer(ctx->buf_alloc); +#if defined(GGML_USE_CUBLAS) && !defined(LLAMA_GGML_BACKEND_CUDA_TEST) + if (model->n_gpu_layers > 0) { + ggml_cuda_set_scratch_size(alloc_size); + LLAMA_LOG_INFO("%s: VRAM scratch buffer: %.2f MiB\n", __func__, alloc_size / 1024.0 / 1024.0); - // calculate total VRAM usage - auto add_tensor = [](const ggml_tensor * t, size_t & size) { - if (t->backend == GGML_BACKEND_GPU || t->backend == GGML_BACKEND_GPU_SPLIT) { - size += ggml_nbytes(t); + // calculate total VRAM usage + auto add_tensor = [](const ggml_tensor * t, size_t & size) { + if (t->backend == GGML_BACKEND_GPU || t->backend == GGML_BACKEND_GPU_SPLIT) { + size += ggml_nbytes(t); + } + }; + size_t model_vram_size = 0; + for (const auto & kv : model->tensors_by_name) { + add_tensor(kv.second, model_vram_size); } - }; - size_t model_vram_size = 0; - for (const auto & kv : model->tensors_by_name) { - add_tensor(kv.second, model_vram_size); - } - - size_t kv_vram_size = 0; - add_tensor(ctx->kv_self.k, kv_vram_size); - add_tensor(ctx->kv_self.v, kv_vram_size); - - size_t ctx_vram_size = alloc_size + kv_vram_size; - size_t total_vram_size = model_vram_size + ctx_vram_size; - - LLAMA_LOG_INFO("%s: total VRAM used: %.2f MB (model: %.2f MB, context: %.2f MB)\n", __func__, - total_vram_size / 1024.0 / 1024.0, - model_vram_size / 1024.0 / 1024.0, - ctx_vram_size / 1024.0 / 1024.0); -#endif - } - -#ifdef GGML_USE_METAL - if (model->n_gpu_layers > 0) { - // this allocates all Metal resources and memory buffers - - void * data_ptr = NULL; - size_t data_size = 0; - - if (ctx->model.mapping) { - data_ptr = ctx->model.mapping->addr; - data_size = ctx->model.mapping->size; - } else { - data_ptr = ggml_get_mem_buffer(ctx->model.ctx); - data_size = ggml_get_mem_size (ctx->model.ctx); - } - const size_t max_size = ggml_get_max_tensor_size(ctx->model.ctx); + size_t kv_vram_size = 0; + for (auto & k : ctx->kv_self.k_l) { + add_tensor(k, kv_vram_size); + } + for (auto & v : ctx->kv_self.v_l) { + add_tensor(v, kv_vram_size); + } - LLAMA_LOG_INFO("%s: max tensor size = %8.2f MB\n", __func__, max_size/1024.0/1024.0); + size_t ctx_vram_size = alloc_size + kv_vram_size; + size_t total_vram_size = model_vram_size + ctx_vram_size; -#define LLAMA_METAL_CHECK_BUF(result) \ - if (!(result)) { \ - LLAMA_LOG_ERROR("%s: failed to add buffer\n", __func__); \ - llama_free(ctx); \ - return NULL; \ + LLAMA_LOG_INFO("%s: total VRAM used: %.2f MiB (model: %.2f MiB, context: %.2f MiB)\n", __func__, + total_vram_size / 1024.0 / 1024.0, + model_vram_size / 1024.0 / 1024.0, + ctx_vram_size / 1024.0 / 1024.0); } - - LLAMA_METAL_CHECK_BUF(ggml_metal_add_buffer(ctx->ctx_metal, "data", data_ptr, data_size, max_size)); - LLAMA_METAL_CHECK_BUF(ggml_metal_add_buffer(ctx->ctx_metal, "kv", ctx->kv_self.buf.data, ctx->kv_self.buf.size, 0)); - LLAMA_METAL_CHECK_BUF(ggml_metal_add_buffer(ctx->ctx_metal, "alloc", ctx->buf_alloc.data, ctx->buf_alloc.size, 0)); -#undef LLAMA_METAL_CHECK_BUF - } #endif + } } #ifdef GGML_USE_MPI @@ -8297,10 +9391,14 @@ const llama_model * llama_get_model(const struct llama_context * ctx) { return &ctx->model; } -int llama_n_ctx(const struct llama_context * ctx) { +uint32_t llama_n_ctx(const struct llama_context * ctx) { return ctx->cparams.n_ctx; } +uint32_t llama_n_batch(const struct llama_context * ctx) { + return ctx->cparams.n_batch; +} + enum llama_vocab_type llama_vocab_type(const struct llama_model * model) { return model->vocab.type; } @@ -8321,6 +9419,45 @@ float llama_rope_freq_scale_train(const struct llama_model * model) { return model->hparams.rope_freq_scale_train; } +int llama_model_meta_val_str(const struct llama_model * model, const char * key, char * buf, size_t buf_size) { + const auto & it = model->gguf_kv.find(key); + if (it == model->gguf_kv.end()) { + if (buf_size > 0) { + buf[0] = '\0'; + } + return -1; + } + return snprintf(buf, buf_size, "%s", it->second.c_str()); +} + +int llama_model_meta_count(const struct llama_model * model) { + return (int)model->gguf_kv.size(); +} + +int llama_model_meta_key_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size) { + if (i < 0 || i >= (int)model->gguf_kv.size()) { + if (buf_size > 0) { + buf[0] = '\0'; + } + return -1; + } + auto it = model->gguf_kv.begin(); + std::advance(it, i); + return snprintf(buf, buf_size, "%s", it->first.c_str()); +} + +int llama_model_meta_val_str_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size) { + if (i < 0 || i >= (int)model->gguf_kv.size()) { + if (buf_size > 0) { + buf[0] = '\0'; + } + return -1; + } + auto it = model->gguf_kv.begin(); + std::advance(it, i); + return snprintf(buf, buf_size, "%s", it->second.c_str()); +} + int llama_model_desc(const struct llama_model * model, char * buf, size_t buf_size) { return snprintf(buf, buf_size, "%s %s %s", llama_model_arch_name(model->arch).c_str(), @@ -8379,8 +9516,107 @@ int llama_model_apply_lora_from_file(const struct llama_model * model, const cha } } +struct llama_kv_cache_view llama_kv_cache_view_init(const struct llama_context * ctx, int32_t n_max_seq) { + struct llama_kv_cache_view result = { + /*.n_cells = */ 0, + /*.n_max_seq = */ n_max_seq, + /*.token_count = */ 0, + /*.used_cells = */ llama_get_kv_cache_used_cells(ctx), + /*.max_contiguous = */ 0, + /*.max_contiguous_idx = */ -1, + /*.cells = */ nullptr, + /*.cells_sequences = */ nullptr, + }; + return result; +} + +void llama_kv_cache_view_free(struct llama_kv_cache_view * view) { + if (view->cells != nullptr) { + free(view->cells); + view->cells = nullptr; + } + if (view->cells_sequences != nullptr) { + free(view->cells_sequences); + view->cells_sequences = nullptr; + } +} + +void llama_kv_cache_view_update(const struct llama_context * ctx, struct llama_kv_cache_view * view) { + if (uint32_t(view->n_cells) < ctx->kv_self.size || view->cells == nullptr) { + view->n_cells = int32_t(ctx->kv_self.size); + void * p = realloc(view->cells, sizeof(struct llama_kv_cache_view_cell) * view->n_cells); + GGML_ASSERT(p != nullptr && "Failed to alloc kv_cache_view cells"); + view->cells = (struct llama_kv_cache_view_cell *)p; + p = realloc(view->cells_sequences, sizeof(llama_seq_id) * view->n_max_seq * view->n_cells); + GGML_ASSERT(p != nullptr && "Failed to alloc kv_cache_view cells sequences"); + view->cells_sequences = (llama_seq_id *)p; + } + + const std::vector & kv_cells = ctx->kv_self.cells; + llama_kv_cache_view_cell * c_curr = view->cells; + llama_seq_id * cs_curr = view->cells_sequences; + int32_t used_cells = 0; + int32_t token_count = 0; + int32_t curr_contig_idx = -1; + uint32_t max_contig = 0; + int32_t max_contig_idx = -1; + + for (int32_t i = 0; i < int32_t(ctx->kv_self.size); i++, c_curr++, cs_curr += view->n_max_seq) { + const size_t curr_size = kv_cells[i].seq_id.size(); + token_count += curr_size; + c_curr->pos = kv_cells[i].pos + kv_cells[i].delta; + + if (curr_size > 0) { + if (curr_contig_idx >= 0 && uint32_t(i - curr_contig_idx) > max_contig) { + max_contig = i - curr_contig_idx; + max_contig_idx = curr_contig_idx; + } + curr_contig_idx = -1; + } else if (curr_contig_idx < 0) { + curr_contig_idx = i; + } + + int seq_idx = 0; + for (const llama_seq_id it : kv_cells[i].seq_id) { + if (seq_idx >= view->n_max_seq) { + break; + } + cs_curr[seq_idx] = it; + seq_idx++; + } + if (seq_idx != 0) { + used_cells++; + } + for (; seq_idx < view->n_max_seq; seq_idx++) { + cs_curr[seq_idx] = -1; + } + } + if (curr_contig_idx >= 0 && kv_cells.size() - curr_contig_idx > max_contig) { + max_contig_idx = curr_contig_idx; + max_contig = kv_cells.size() - curr_contig_idx; + } + view->max_contiguous = max_contig; + view->max_contiguous_idx = max_contig_idx; + view->token_count = token_count; + view->used_cells = used_cells; + if (uint32_t(used_cells) != ctx->kv_self.used) { + LLAMA_LOG_ERROR("%s: used cells mismatch. kv_cache says %d but we calculated %d\n", + __func__, ctx->kv_self.used, used_cells); + } +} + int llama_get_kv_cache_token_count(const struct llama_context * ctx) { - return ctx->kv_self.head; + int result = 0; + + for (uint32_t i = 0; i < ctx->kv_self.size; i++) { + result += ctx->kv_self.cells[i].seq_id.size(); + } + + return result; +} + +int llama_get_kv_cache_used_cells(const struct llama_context * ctx) { + return ctx->kv_self.used; } void llama_kv_cache_clear(struct llama_context * ctx) { @@ -8419,7 +9655,7 @@ size_t llama_get_state_size(const struct llama_context * ctx) { const size_t s_embedding = ctx->embedding.size() * sizeof(float); const size_t s_kv_size = sizeof(size_t); const size_t s_kv_ntok = sizeof(int); - const size_t s_kv = ctx->kv_self.buf.size; + const size_t s_kv = ggml_backend_buffer_get_size(ctx->kv_self.buf); const size_t s_total = ( + s_rng_size @@ -8547,46 +9783,59 @@ static void llama_copy_state_data_internal(struct llama_context * ctx, llama_dat const auto n_embd = hparams.n_embd_gqa(); const auto n_ctx = cparams.n_ctx; - const size_t kv_buf_size = kv_self.buf.size; + const size_t kv_buf_size = ggml_backend_buffer_get_size(kv_self.buf); const uint32_t kv_head = kv_self.head; const uint32_t kv_size = kv_self.size; + const uint32_t kv_used = kv_self.used; data_ctx->write(&kv_buf_size, sizeof(kv_buf_size)); data_ctx->write(&kv_head, sizeof(kv_head)); data_ctx->write(&kv_size, sizeof(kv_size)); + data_ctx->write(&kv_used, sizeof(kv_used)); if (kv_buf_size) { - const size_t elt_size = ggml_element_size(kv_self.k); + const size_t elt_size = ggml_element_size(kv_self.k_l[0]); - ggml_context * cpy_ctx = ggml_init({ 6*ggml_tensor_overhead() + ggml_graph_overhead(), NULL, /* no_alloc */ true }); + ggml_context * cpy_ctx = ggml_init({ 6*n_layer*ggml_tensor_overhead() + ggml_graph_overhead(), NULL, /* no_alloc */ true }); ggml_cgraph * gf = ggml_new_graph(cpy_ctx); - ggml_tensor * kout3d = ggml_new_tensor_3d(cpy_ctx, kv_self.k->type, n_embd, kv_head, n_layer); - std::vector kout3d_data(ggml_nbytes(kout3d), 0); - kout3d->data = kout3d_data.data(); + std::vector kout2d(n_layer); + std::vector vout2d(n_layer); + + for (int il = 0; il < (int) n_layer; ++il) { + kout2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.k_l[il]->type, n_embd, kv_head); + vout2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.v_l[il]->type, kv_head, n_embd); + + ggml_tensor * k2d = ggml_view_2d(cpy_ctx, kv_self.k_l[il], + n_embd, kv_head, + elt_size*n_embd, 0); + + ggml_tensor * v2d = ggml_view_2d(cpy_ctx, kv_self.v_l[il], + kv_head, n_embd, + elt_size*n_ctx, 0); - ggml_tensor * vout3d = ggml_new_tensor_3d(cpy_ctx, kv_self.v->type, kv_head, n_embd, n_layer); - std::vector vout3d_data(ggml_nbytes(vout3d), 0); - vout3d->data = vout3d_data.data(); + ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, k2d, kout2d[il])); + ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, v2d, vout2d[il])); + } + + ggml_backend_buffer_t buf = ggml_backend_alloc_ctx_tensors(cpy_ctx, ctx->backend); - ggml_tensor * k3d = ggml_view_3d(cpy_ctx, kv_self.k, - n_embd, kv_head, n_layer, - elt_size*n_embd, elt_size*n_embd*n_ctx, 0); + ggml_backend_graph_compute(ctx->backend, gf); - ggml_tensor * v3d = ggml_view_3d(cpy_ctx, kv_self.v, - kv_head, n_embd, n_layer, - elt_size*n_ctx, elt_size*n_ctx*n_embd, 0); + std::vector tmp_buf; + for (int il = 0; il < (int) n_layer; ++il) { + tmp_buf.resize(ggml_nbytes(kout2d[il])); + ggml_backend_tensor_get(kout2d[il], tmp_buf.data(), 0, tmp_buf.size()); + data_ctx->write(tmp_buf.data(), tmp_buf.size()); - ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, k3d, kout3d)); - ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, v3d, vout3d)); - ggml_graph_compute_helper(ctx->work_buffer, gf, /*n_threads*/ 1); + tmp_buf.resize(ggml_nbytes(vout2d[il])); + ggml_backend_tensor_get(vout2d[il], tmp_buf.data(), 0, tmp_buf.size()); + data_ctx->write(tmp_buf.data(), tmp_buf.size()); + } ggml_free(cpy_ctx); - // our data is now in the kout3d_data and vout3d_data buffers - // write them to file - data_ctx->write(kout3d_data.data(), kout3d_data.size()); - data_ctx->write(vout3d_data.data(), vout3d_data.size()); + ggml_backend_buffer_free(buf); } for (uint32_t i = 0; i < kv_size; ++i) { @@ -8676,44 +9925,61 @@ size_t llama_set_state_data(struct llama_context * ctx, uint8_t * src) { size_t kv_buf_size; uint32_t kv_head; uint32_t kv_size; + uint32_t kv_used; memcpy(&kv_buf_size, inp, sizeof(kv_buf_size)); inp += sizeof(kv_buf_size); memcpy(&kv_head, inp, sizeof(kv_head)); inp += sizeof(kv_head); memcpy(&kv_size, inp, sizeof(kv_size)); inp += sizeof(kv_size); + memcpy(&kv_used, inp, sizeof(kv_used)); inp += sizeof(kv_used); if (kv_buf_size) { - GGML_ASSERT(kv_self.buf.size == kv_buf_size); + GGML_ASSERT(ggml_backend_buffer_get_size(kv_self.buf) == kv_buf_size); - const size_t elt_size = ggml_element_size(kv_self.k); + const size_t elt_size = ggml_element_size(kv_self.k_l[0]); - ggml_context * cpy_ctx = ggml_init({ 6*ggml_tensor_overhead() + ggml_graph_overhead(), NULL, /* no_alloc */ true }); + ggml_context * cpy_ctx = ggml_init({ 6*n_layer*ggml_tensor_overhead() + ggml_graph_overhead(), NULL, /* no_alloc */ true }); ggml_cgraph * gf = ggml_new_graph(cpy_ctx); - ggml_tensor * kin3d = ggml_new_tensor_3d(cpy_ctx, kv_self.k->type, n_embd, kv_head, n_layer); - kin3d->data = (void *) inp; - inp += ggml_nbytes(kin3d); + std::vector kin2d(n_layer); + std::vector vin2d(n_layer); + + for (int il = 0; il < n_layer; ++il) { + kin2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.k_l[il]->type, n_embd, kv_head); + vin2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.v_l[il]->type, kv_head, n_embd); + + ggml_tensor * k2d = ggml_view_2d(cpy_ctx, kv_self.k_l[il], + n_embd, kv_head, + elt_size*n_embd, 0); + + ggml_tensor * v2d = ggml_view_2d(cpy_ctx, kv_self.v_l[il], + kv_head, n_embd, + elt_size*n_ctx, 0); + + ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, kin2d[il], k2d)); + ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, vin2d[il], v2d)); + } - ggml_tensor * vin3d = ggml_new_tensor_3d(cpy_ctx, kv_self.v->type, kv_head, n_embd, n_layer); - vin3d->data = (void *) inp; - inp += ggml_nbytes(vin3d); + ggml_backend_buffer_t buf = ggml_backend_alloc_ctx_tensors(cpy_ctx, ctx->backend); - ggml_tensor * k3d = ggml_view_3d(cpy_ctx, kv_self.k, - n_embd, kv_head, n_layer, - elt_size*n_embd, elt_size*n_embd*n_ctx, 0); + // load data into the tensors + for (int il = 0; il < n_layer; ++il) { + ggml_backend_tensor_set(kin2d[il], inp, 0, ggml_nbytes(kin2d[il])); + inp += ggml_nbytes(kin2d[il]); - ggml_tensor * v3d = ggml_view_3d(cpy_ctx, kv_self.v, - kv_head, n_embd, n_layer, - elt_size*n_ctx, elt_size*n_ctx*n_embd, 0); + ggml_backend_tensor_set(vin2d[il], inp, 0, ggml_nbytes(vin2d[il])); + inp += ggml_nbytes(vin2d[il]); + } - ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, kin3d, k3d)); - ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, vin3d, v3d)); - ggml_graph_compute_helper(ctx->work_buffer, gf, /*n_threads*/ 1); + ggml_backend_graph_compute(ctx->backend, gf); ggml_free(cpy_ctx); + + ggml_backend_buffer_free(buf); } ctx->kv_self.head = kv_head; ctx->kv_self.size = kv_size; + ctx->kv_self.used = kv_used; ctx->kv_self.cells.resize(kv_size); @@ -8931,6 +10197,7 @@ float * llama_get_logits(struct llama_context * ctx) { } float * llama_get_logits_ith(struct llama_context * ctx, int32_t i) { + assert(ctx->logits_valid.at(i)); return ctx->logits.data() + i*ctx->model.hparams.n_vocab; } @@ -8962,6 +10229,14 @@ llama_token llama_token_nl(const struct llama_model * model) { return model->vocab.linefeed_id; } +int llama_add_bos_token(const struct llama_model * model) { + return model->vocab.special_add_bos; +} + +int llama_add_eos_token(const struct llama_model * model) { + return model->vocab.special_add_eos; +} + llama_token llama_token_prefix(const struct llama_model * model) { return model->vocab.special_prefix_id; } @@ -9168,6 +10443,9 @@ const std::vector> & llama_internal void llama_log_set(ggml_log_callback log_callback, void * user_data) { g_state.log_callback = log_callback ? log_callback : llama_log_callback_default; g_state.log_callback_user_data = user_data; +#ifdef GGML_USE_METAL + ggml_metal_log_set_callback(g_state.log_callback, g_state.log_callback_user_data); +#endif } static void llama_log_internal_v(ggml_log_level level, const char * format, va_list args) { diff --git a/examples/talk-llama/llama.h b/examples/talk-llama/llama.h index e8dc04bb54b..af76bae2d2a 100644 --- a/examples/talk-llama/llama.h +++ b/examples/talk-llama/llama.h @@ -39,10 +39,11 @@ #define LLAMA_MAX_RNG_STATE (64*1024) +#define LLAMA_FILE_MAGIC_GGLA 0x67676c61u // 'ggla' #define LLAMA_FILE_MAGIC_GGSN 0x6767736eu // 'ggsn' #define LLAMA_SESSION_MAGIC LLAMA_FILE_MAGIC_GGSN -#define LLAMA_SESSION_VERSION 2 +#define LLAMA_SESSION_VERSION 3 #if defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_METAL) // Defined when llama.cpp is compiled with support for offloading model layers to GPU. @@ -126,7 +127,7 @@ extern "C" { bool sorted; } llama_token_data_array; - typedef void (*llama_progress_callback)(float progress, void *ctx); + typedef bool (*llama_progress_callback)(float progress, void *ctx); // Input data for llama_decode // A llama_batch object can contain input about one or many sequences @@ -158,16 +159,38 @@ extern "C" { llama_seq_id all_seq_id; // used if seq_id == NULL } llama_batch; + enum llama_model_kv_override_type { + LLAMA_KV_OVERRIDE_INT, + LLAMA_KV_OVERRIDE_FLOAT, + LLAMA_KV_OVERRIDE_BOOL, + }; + + struct llama_model_kv_override { + char key[128]; + enum llama_model_kv_override_type tag; + union { + int64_t int_value; + double float_value; + bool bool_value; + }; + }; + struct llama_model_params { int32_t n_gpu_layers; // number of layers to store in VRAM int32_t main_gpu; // the GPU that is used for scratch and small tensors const float * tensor_split; // how to split layers across multiple GPUs (size: LLAMA_MAX_DEVICES) - // called with a progress value between 0 and 1, pass NULL to disable + // Called with a progress value between 0.0 and 1.0. Pass NULL to disable. + // If the provided progress_callback returns true, model loading continues. + // If it returns false, model loading is immediately aborted. llama_progress_callback progress_callback; + // context pointer passed to the progress callback void * progress_callback_user_data; + // override key-value pairs of the model meta data + const struct llama_model_kv_override * kv_overrides; + // Keep the booleans together to avoid misalignment during copy-by-value. bool vocab_only; // only load the vocabulary, no weights bool use_mmap; // use mmap if possible @@ -185,17 +208,20 @@ extern "C" { // ref: https://github.com/ggerganov/llama.cpp/pull/2054 float rope_freq_base; // RoPE base frequency, 0 = from model float rope_freq_scale; // RoPE frequency scaling factor, 0 = from model - float yarn_ext_factor; // YaRN extrapolation mix factor, NaN = from model + float yarn_ext_factor; // YaRN extrapolation mix factor, negative = from model float yarn_attn_factor; // YaRN magnitude scaling factor float yarn_beta_fast; // YaRN low correction dim float yarn_beta_slow; // YaRN high correction dim uint32_t yarn_orig_ctx; // YaRN original context size + enum ggml_type type_k; // data type for K cache + enum ggml_type type_v; // data type for V cache + // Keep the booleans together to avoid misalignment during copy-by-value. - bool mul_mat_q; // if true, use experimental mul_mat_q kernels (DEPRECATED - always true) - bool f16_kv; // use fp16 for KV cache, fp32 otherwise - bool logits_all; // the llama_eval() call computes all logits, not just the last one - bool embedding; // embedding mode only + bool mul_mat_q; // if true, use experimental mul_mat_q kernels (DEPRECATED - always true) + bool logits_all; // the llama_eval() call computes all logits, not just the last one (DEPRECATED - set llama_batch.logits instead) + bool embedding; // embedding mode only + bool offload_kqv; // whether to offload the KQV ops (including the KV cache) to GPU }; // model quantization parameters @@ -290,7 +316,9 @@ extern "C" { LLAMA_API const struct llama_model * llama_get_model(const struct llama_context * ctx); - LLAMA_API int llama_n_ctx (const struct llama_context * ctx); + // TODO: become more consistent with returned int types across the API + LLAMA_API uint32_t llama_n_ctx (const struct llama_context * ctx); + LLAMA_API uint32_t llama_n_batch (const struct llama_context * ctx); LLAMA_API enum llama_vocab_type llama_vocab_type(const struct llama_model * model); @@ -301,6 +329,23 @@ extern "C" { // Get the model's RoPE frequency scaling factor LLAMA_API float llama_rope_freq_scale_train(const struct llama_model * model); + // Functions to access the model's GGUF metadata scalar values + // - The functions return the length of the string on success, or -1 on failure + // - The output string is always null-terminated and cleared on failure + // - GGUF array values are not supported by these functions + + // Get metadata value as a string by key name + LLAMA_API int llama_model_meta_val_str(const struct llama_model * model, const char * key, char * buf, size_t buf_size); + + // Get the number of metadata key/value pairs + LLAMA_API int llama_model_meta_count(const struct llama_model * model); + + // Get metadata key name by index + LLAMA_API int llama_model_meta_key_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size); + + // Get metadata value as a string by index + LLAMA_API int llama_model_meta_val_str_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size); + // Get a string describing the model type LLAMA_API int llama_model_desc(const struct llama_model * model, char * buf, size_t buf_size); @@ -344,9 +389,60 @@ extern "C" { // KV cache // - // Returns the number of tokens in the KV cache - LLAMA_API DEPRECATED(int llama_get_kv_cache_token_count(const struct llama_context * ctx), - "avoid using this, it will be removed in the future, instead - count the tokens in user code"); + // Information associated with an individual cell in the KV cache view. + struct llama_kv_cache_view_cell { + // The position for this cell. Takes KV cache shifts into account. + // May be negative if the cell is not populated. + llama_pos pos; + }; + + // An updateable view of the KV cache. + struct llama_kv_cache_view { + // Number of KV cache cells. This will be the same as the context size. + int32_t n_cells; + + // Maximum number of sequences that can exist in a cell. It's not an error + // if there are more sequences in a cell than this value, however they will + // not be visible in the view cells_sequences. + int32_t n_max_seq; + + // Number of tokens in the cache. For example, if there are two populated + // cells, the first with 1 sequence id in it and the second with 2 sequence + // ids then you'll have 3 tokens. + int32_t token_count; + + // Number of populated cache cells. + int32_t used_cells; + + // Maximum contiguous empty slots in the cache. + int32_t max_contiguous; + + // Index to the start of the max_contiguous slot range. Can be negative + // when cache is full. + int32_t max_contiguous_idx; + + // Information for an individual cell. + struct llama_kv_cache_view_cell * cells; + + // The sequences for each cell. There will be n_max_seq items per cell. + llama_seq_id * cells_sequences; + }; + + // Create an empty KV cache view. (use only for debugging purposes) + LLAMA_API struct llama_kv_cache_view llama_kv_cache_view_init(const struct llama_context * ctx, int32_t n_max_seq); + + // Free a KV cache view. (use only for debugging purposes) + LLAMA_API void llama_kv_cache_view_free(struct llama_kv_cache_view * view); + + // Update the KV cache view structure with the current state of the KV cache. (use only for debugging purposes) + LLAMA_API void llama_kv_cache_view_update(const struct llama_context * ctx, struct llama_kv_cache_view * view); + + // Returns the number of tokens in the KV cache (slow, use only for debug) + // If a KV cell has multiple sequences assigned to it, it will be counted multiple times + LLAMA_API int llama_get_kv_cache_token_count(const struct llama_context * ctx); + + // Returns the number of used KV cells (i.e. have at least one sequence assigned to them) + LLAMA_API int llama_get_kv_cache_used_cells(const struct llama_context * ctx); // Clear the KV cache LLAMA_API void llama_kv_cache_clear( @@ -517,6 +613,12 @@ extern "C" { LLAMA_API llama_token llama_token_eos(const struct llama_model * model); // end-of-sentence LLAMA_API llama_token llama_token_nl (const struct llama_model * model); // next-line + // Returns -1 if unknown, 1 for true or 0 for false. + LLAMA_API int llama_add_bos_token(const struct llama_model * model); + + // Returns -1 if unknown, 1 for true or 0 for false. + LLAMA_API int llama_add_eos_token(const struct llama_model * model); + // codellama infill tokens LLAMA_API llama_token llama_token_prefix(const struct llama_model * model); // Beginning of infill prefix LLAMA_API llama_token llama_token_middle(const struct llama_model * model); // Beginning of infill middle diff --git a/examples/talk-llama/talk-llama.cpp b/examples/talk-llama/talk-llama.cpp index aae392bdc00..07d98553c16 100644 --- a/examples/talk-llama/talk-llama.cpp +++ b/examples/talk-llama/talk-llama.cpp @@ -282,7 +282,6 @@ int main(int argc, char ** argv) { // tune these to your liking lcparams.n_ctx = 2048; lcparams.seed = 1; - lcparams.f16_kv = true; lcparams.n_threads = params.n_threads; struct llama_context * ctx_llama = llama_new_context_with_model(model_llama, lcparams); diff --git a/examples/talk.wasm/gpt-2.cpp b/examples/talk.wasm/gpt-2.cpp index a2ba98ee0e6..22ec3354719 100644 --- a/examples/talk.wasm/gpt-2.cpp +++ b/examples/talk.wasm/gpt-2.cpp @@ -155,33 +155,33 @@ bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab & const int n_ctx = hparams.n_ctx; const int n_vocab = hparams.n_vocab; - ctx_size += n_embd*ggml_type_sizef(GGML_TYPE_F32); // ln_f_g - ctx_size += n_embd*ggml_type_sizef(GGML_TYPE_F32); // ln_f_b + ctx_size += ggml_row_size(GGML_TYPE_F32, n_embd); // ln_f_g + ctx_size += ggml_row_size(GGML_TYPE_F32, n_embd); // ln_f_b - ctx_size += n_vocab*n_embd*ggml_type_sizef(wtype); // wte - ctx_size += n_ctx*n_embd*ggml_type_sizef(GGML_TYPE_F32); // wpe - ctx_size += n_vocab*n_embd*ggml_type_sizef(wtype); // lm_head + ctx_size += n_vocab*ggml_row_size(wtype, n_embd); // wte + ctx_size += n_ctx*ggml_row_size(GGML_TYPE_F32, n_embd); // wpe + ctx_size += n_vocab*ggml_row_size(wtype, n_embd); // lm_head - ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_1_g - ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_1_b + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_1_g + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_1_b - ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_2_g - ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_2_b + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_2_g + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_2_b - ctx_size += n_layer*(3*n_embd*n_embd*ggml_type_sizef(wtype)); // c_attn_attn_w - ctx_size += n_layer*( 3*n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_attn_attn_b + ctx_size += n_layer*(ggml_row_size(wtype, 3*n_embd*n_embd)); // c_attn_attn_w + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, 3*n_embd)); // c_attn_attn_b - ctx_size += n_layer*(n_embd*n_embd*ggml_type_sizef(wtype)); // c_attn_proj_w - ctx_size += n_layer*( n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_attn_proj_b + ctx_size += n_layer*(ggml_row_size(wtype, n_embd*n_embd)); // c_attn_proj_w + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // c_attn_proj_b - ctx_size += n_layer*(4*n_embd*n_embd*ggml_type_sizef(wtype)); // c_mlp_fc_w - ctx_size += n_layer*( 4*n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_mlp_fc_b + ctx_size += n_layer*(ggml_row_size(wtype, 4*n_embd*n_embd)); // c_mlp_fc_w + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, 4*n_embd)); // c_mlp_fc_b - ctx_size += n_layer*(4*n_embd*n_embd*ggml_type_sizef(wtype)); // c_mlp_proj_w - ctx_size += n_layer*( n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_mlp_proj_b + ctx_size += n_layer*(ggml_row_size(wtype, 4*n_embd*n_embd)); // c_mlp_proj_w + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // c_mlp_proj_b - ctx_size += n_ctx*n_layer*n_embd*ggml_type_sizef(GGML_TYPE_F32); // memory_k - ctx_size += n_ctx*n_layer*n_embd*ggml_type_sizef(GGML_TYPE_F32); // memory_v + ctx_size += n_ctx*n_layer*ggml_row_size(GGML_TYPE_F32, n_embd); // memory_k + ctx_size += n_ctx*n_layer*ggml_row_size(GGML_TYPE_F32, n_embd); // memory_v ctx_size += (6 + 12*n_layer)*256; // object overhead @@ -524,8 +524,7 @@ bool gpt2_eval( struct ggml_tensor * KQ_scaled = ggml_scale(ctx0, KQ, - ggml_new_f32(ctx0, 1.0f/sqrt(float(n_embd)/n_head)) - ); + 1.0f/sqrt(float(n_embd)/n_head)); // KQ_masked = mask_past(KQ_scaled) // [n_past + N, N, 12] diff --git a/examples/talk/gpt-2.cpp b/examples/talk/gpt-2.cpp index 8f9a3e93b76..feb3a7523ac 100644 --- a/examples/talk/gpt-2.cpp +++ b/examples/talk/gpt-2.cpp @@ -155,33 +155,33 @@ bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab & const int n_ctx = hparams.n_ctx; const int n_vocab = hparams.n_vocab; - ctx_size += n_embd*ggml_type_sizef(GGML_TYPE_F32); // ln_f_g - ctx_size += n_embd*ggml_type_sizef(GGML_TYPE_F32); // ln_f_b + ctx_size += ggml_row_size(GGML_TYPE_F32, n_embd); // ln_f_g + ctx_size += ggml_row_size(GGML_TYPE_F32, n_embd); // ln_f_b - ctx_size += n_vocab*n_embd*ggml_type_sizef(wtype); // wte - ctx_size += n_ctx*n_embd*ggml_type_sizef(GGML_TYPE_F32); // wpe - ctx_size += n_vocab*n_embd*ggml_type_sizef(wtype); // lm_head + ctx_size += n_vocab*ggml_row_size(wtype, n_embd); // wte + ctx_size += n_ctx*ggml_row_size(GGML_TYPE_F32, n_embd); // wpe + ctx_size += n_vocab*ggml_row_size(wtype, n_embd); // lm_head - ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_1_g - ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_1_b + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_1_g + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_1_b - ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_2_g - ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_2_b + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_2_g + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_2_b - ctx_size += n_layer*(3*n_embd*n_embd*ggml_type_sizef(wtype)); // c_attn_attn_w - ctx_size += n_layer*( 3*n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_attn_attn_b + ctx_size += n_layer*(ggml_row_size(wtype, 3*n_embd*n_embd)); // c_attn_attn_w + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, 3*n_embd)); // c_attn_attn_b - ctx_size += n_layer*(n_embd*n_embd*ggml_type_sizef(wtype)); // c_attn_proj_w - ctx_size += n_layer*( n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_attn_proj_b + ctx_size += n_layer*(ggml_row_size(wtype, n_embd*n_embd)); // c_attn_proj_w + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // c_attn_proj_b - ctx_size += n_layer*(4*n_embd*n_embd*ggml_type_sizef(wtype)); // c_mlp_fc_w - ctx_size += n_layer*( 4*n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_mlp_fc_b + ctx_size += n_layer*(ggml_row_size(wtype, 4*n_embd*n_embd)); // c_mlp_fc_w + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, 4*n_embd)); // c_mlp_fc_b - ctx_size += n_layer*(4*n_embd*n_embd*ggml_type_sizef(wtype)); // c_mlp_proj_w - ctx_size += n_layer*( n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_mlp_proj_b + ctx_size += n_layer*(ggml_row_size(wtype, 4*n_embd*n_embd)); // c_mlp_proj_w + ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // c_mlp_proj_b - ctx_size += n_ctx*n_layer*n_embd*ggml_type_sizef(GGML_TYPE_F32); // memory_k - ctx_size += n_ctx*n_layer*n_embd*ggml_type_sizef(GGML_TYPE_F32); // memory_v + ctx_size += n_ctx*n_layer*ggml_row_size(GGML_TYPE_F32, n_embd); // memory_k + ctx_size += n_ctx*n_layer*ggml_row_size(GGML_TYPE_F32, n_embd); // memory_v ctx_size += (6 + 12*n_layer)*256; // object overhead @@ -525,8 +525,7 @@ bool gpt2_eval( struct ggml_tensor * KQ_scaled = ggml_scale(ctx0, KQ, - ggml_new_f32(ctx0, 1.0f/sqrt(float(n_embd)/n_head)) - ); + 1.0f/sqrt(float(n_embd)/n_head)); // KQ_masked = mask_past(KQ_scaled) // [n_past + N, N, 12] diff --git a/examples/wchess/CMakeLists.txt b/examples/wchess/CMakeLists.txt new file mode 100644 index 00000000000..4bbc85ab6b2 --- /dev/null +++ b/examples/wchess/CMakeLists.txt @@ -0,0 +1,9 @@ +set(CMAKE_CXX_STANDARD 11) + +add_subdirectory(libwchess) + +if (EMSCRIPTEN) + add_subdirectory(wchess.wasm) +else() + add_subdirectory(wchess.cmd) +endif() diff --git a/examples/wchess/README.md b/examples/wchess/README.md new file mode 100644 index 00000000000..924b8d9a8ab --- /dev/null +++ b/examples/wchess/README.md @@ -0,0 +1,45 @@ +# wchess + +Voice-controlled chess using Whisper + +Online demo: https://whisper.ggerganov.com/wchess/ + +https://github.com/ggerganov/whisper.cpp/assets/1991296/c2b2f03c-9684-49f3-8106-357d2d4e67fa + +## Command-line tool + +```bash +mkdir build && cd build +cmake -DWHISPER_SDL2=1 .. +make -j + +./bin/wchess -m ../models/ggml-base.en.bin + +Move: start + +a b c d e f g h +r n b q k b n r 8 +p p p p p p p p 7 +. * . * . * . * 6 +* . * . * . * . 5 +. * . * . * . * 4 +* . * . * . * . 3 +P P P P P P P P 2 +R N B Q K B N R 1 + +White's turn +[(l)isten/(p)ause/(q)uit]: +``` + +## TODO + +- Fix bugs in the chess moves logic +- Improve web-browser audio capture - sometimes it does not record the voice properly +- Add support for more languages by making the generated grammar string multilingual +- Explore ways to improve the dynamic grammar to be narrower + +PRs welcome! + +## Thanks + +- [chessboardjs](https://chessboardjs.com) for the neat chessboard JS library used in this demo diff --git a/examples/wchess/libwchess/CMakeLists.txt b/examples/wchess/libwchess/CMakeLists.txt new file mode 100644 index 00000000000..a5ddca8dd39 --- /dev/null +++ b/examples/wchess/libwchess/CMakeLists.txt @@ -0,0 +1,19 @@ +add_library(wchess-core STATIC + WChess.cpp + WChess.h + Chessboard.cpp + Chessboard.h +) + +target_link_libraries(wchess-core + PUBLIC + whisper + common +) + +target_include_directories(wchess-core + PUBLIC + "$" +) + +# add_executable(test-chessboard test-chessboard.cpp Chessboard.cpp) diff --git a/examples/wchess/libwchess/Chessboard.cpp b/examples/wchess/libwchess/Chessboard.cpp new file mode 100644 index 00000000000..d7f0d617871 --- /dev/null +++ b/examples/wchess/libwchess/Chessboard.cpp @@ -0,0 +1,803 @@ +#include "Chessboard.h" + +#include +#include +#include +#include +#include +#include +#include + +namespace { +constexpr std::array positions = { + "a1", "b1", "c1", "d1", "e1", "f1", "g1", "h1", + "a2", "b2", "c2", "d2", "e2", "f2", "g2", "h2", + "a3", "b3", "c3", "d3", "e3", "f3", "g3", "h3", + "a4", "b4", "c4", "d4", "e4", "f4", "g4", "h4", + "a5", "b5", "c5", "d5", "e5", "f5", "g5", "h5", + "a6", "b6", "c6", "d6", "e6", "f6", "g6", "h6", + "a7", "b7", "c7", "d7", "e7", "f7", "g7", "h7", + "a8", "b8", "c8", "d8", "e8", "f8", "g8", "h8", +}; +constexpr char INVALID_POS = positions.size(); +constexpr int R = 0; // rank index +constexpr int F = 1; // file index +#define FILE (c[F] - '1') +#define RANK (c[R] - 'a') +constexpr char operator ""_P(const char * c, size_t size) { + return size < 2 || RANK < 0 || RANK > 7 || + FILE < 0 || FILE > 7 ? INVALID_POS : FILE * 8 + RANK; +} +#undef FILE +#undef RANK + +struct sview { + const char * ptr = nullptr; + size_t size = 0; + + sview() = default; + sview(const char * p, size_t s) : ptr(p), size(s) {} + sview(const std::string& s) : ptr(s.data()), size(s.size()) {} + + size_t find(char del, size_t pos) { + while (pos < size && ptr[pos] != del) ++pos; + return pos < size ? pos : std::string::npos; + } +}; + +std::vector split(sview str, char del) { + std::vector res; + size_t cur = 0; + size_t last = 0; + while (cur != std::string::npos) { + if (str.ptr[last] == ' ') { + ++last; + continue; + } + cur = str.find(del, last); + size_t len = cur == std::string::npos ? str.size - last : cur - last; + res.emplace_back(str.ptr + last, len); + last = cur + 1; + } + return res; +} + +char strToPos(sview str) { + return operator ""_P(str.ptr, str.size); +} + +constexpr std::array pieceNames = { + "pawn", "knight", "bishop", "rook", "queen", "king", +}; + +static constexpr std::array blackShort = { + 'p', 'n', 'b', 'r', 'q', 'k', +}; +static constexpr std::array whiteShort = { + 'P', 'N', 'B', 'R', 'Q', 'K', +}; + +char strToType(sview str) { + auto it = std::find_if(pieceNames.begin(), pieceNames.end(), [str] (const char* name) { return strncmp(name, str.ptr, str.size) == 0; }); + return it != pieceNames.end() ? it - pieceNames.begin() : pieceNames.size(); +} + +// directions +using Direction = std::array; + +constexpr Direction N = {(char) 0, (char) 1}; +constexpr Direction NNE = {(char) 1, (char) 2}; +constexpr Direction NE = {(char) 1, (char) 1}; +constexpr Direction ENE = {(char) 2, (char) 1}; +constexpr Direction E = {(char) 1, (char) 0}; +constexpr Direction ESE = {(char) 2, (char) -1}; +constexpr Direction SE = {(char) 1, (char) -1}; +constexpr Direction SSE = {(char) 1, (char) -2}; +constexpr Direction S = {(char) 0, (char) -1}; +constexpr Direction SSW = {(char) -1, (char) -2}; +constexpr Direction SW = {(char) -1, (char) -1}; +constexpr Direction WSW = {(char) -2, (char) -1}; +constexpr Direction W = {(char) -1, (char) 0}; +constexpr Direction WNW = {(char) -2, (char) 1}; +constexpr Direction NW = {(char) -1, (char) 1}; +constexpr Direction NNW = {(char) -1, (char) 2}; + +char makeStep(char pos, const Direction& d) { + char next[2] = { char(positions[pos][R] + d[R]) , char(positions[pos][F] + d[F]) }; + return strToPos(sview{next, sizeof(next)}); +} + +template +char traverse(char pos, const Direction& d, const Modifier& m, int count = 8) { + while (--count >= 0) { + pos = makeStep(pos, d); + if (pos == INVALID_POS || m(pos)) break; + } + return pos; +} + +Direction normalize(const Direction& distance) { + //return {char((distance[R] > 0) - (distance[R] < 0)), char((distance[F] > 0) - (distance[F] < 0))}; + const int drp = distance[R] > 0 ? 1 : 0; + const int drn = distance[R] < 0 ? 1 : 0; + const int dfp = distance[F] > 0 ? 1 : 0; + const int dfn = distance[F] < 0 ? 1 : 0; + return {char(drp - drn), char(dfp - dfn)}; +} + +struct Pin { + Direction d; + Piece* pinner; + Piece* pinned; +}; +using Pins = std::list; +using Board = std::array; + +std::vector filter(const Direction& pin, std::initializer_list directions) { + if (pin[R] == 0 && pin[F] == 0) return directions; + std::vector result; + for (auto& d : directions) { + if ((d[R] == pin[R] || d[R] == -pin[R]) && (d[F] == pin[F] || d[F] == -pin[F])) result.push_back(d); + } + return result; +} +} + +class Piece { +public: + enum Types : char { + Pawn, + Knight, + Bishop, + Rook, + Queen, + King, + // + NUM_PIECES + }; + + enum Colors : char { + White, + Black, + }; + + const char* name() const; + char initial() const; + Types type() const { return m_type; } + Colors color() const { return m_color; } + char pos() const { return m_pos; } + void setPos(char pos) { + m_pos = pos; + invalidate(); + } + const char* coord() const; + const std::set& allowed() const { return m_allowed; } + bool canReach(char pos) const; + virtual bool movePattern(char pos) const = 0; + void take(); + virtual void reinit(const State& state) = 0; + void invalidate(); +protected: + Piece(Types type, Colors color, char pos, std::set allowed) + : m_type(type), m_color(color), m_pos(pos), m_allowed(std::move(allowed)) {} + Piece(const Piece&) = delete; + ~Piece() = default; + + const Types m_type; + const Colors m_color; + char m_pos; + std::set m_allowed; + bool m_update = false; +}; + +struct Pawn : public Piece { + Pawn(Colors color, char pos, std::set next) : Piece(Types::Pawn, color, pos, std::move(next)) {} + + bool is_first_move() const { + return m_color ? coord()[F] == '7' : coord()[F] == '2'; + } + + virtual bool movePattern(char pos) const override { + if (m_pos == INVALID_POS) return false; + auto cur = coord(); + auto next = positions[pos]; + Direction distance = {char(next[R] - cur[R]), char(next[F] - cur[F])}; + char forward = m_color ? -1 : 1; + return (forward == distance[F] && distance[R] * distance[R] <= 1) + || (is_first_move() && 2 * forward == distance[F] && distance[R] == 0); + } + + virtual void reinit(const State& state) override; +}; + +struct Knight : public Piece { + Knight(Colors color, char pos, std::set next) : Piece(Types::Knight, color, pos, std::move(next)) {} + + virtual bool movePattern(char pos) const override { + if (m_pos == INVALID_POS) return false; + auto cur = coord(); + auto next = positions[pos]; + Direction diff = {char(next[R] - cur[R]), char(next[F] - cur[F])}; + return diff[R]*diff[R] + diff[F]*diff[F] == 5; + } + + virtual void reinit(const State& state) override; +}; + +struct Bishop : public Piece { + Bishop(Colors color, char pos) : Piece(Types::Bishop, color, pos, {}) {} + + virtual bool movePattern(char pos) const override { + if (m_pos == INVALID_POS) return false; + auto cur = coord(); + auto next = positions[pos]; + return cur[R] - cur[F] == next[R] - next[F] || cur[R] + cur[F] == next[R] + next[F]; + } + + virtual void reinit(const State& state) override; +}; + +struct Rook : public Piece { + Rook(Colors color, char pos) : Piece(Types::Rook, color, pos, {}) {} + + virtual bool movePattern(char pos) const override { + if (m_pos == INVALID_POS) return false; + auto cur = coord(); + auto next = positions[pos]; + return cur[R] == next[R] || cur[F] == next[F]; + } + + virtual void reinit(const State& state) override; +}; + +struct Queen : public Piece { + Queen(Colors color, char pos) : Piece(Types::Queen, color, pos, {}) {} + + virtual bool movePattern(char pos) const override { + if (m_pos == INVALID_POS) return false; + auto cur = coord(); + auto next = positions[pos]; + return cur[R] == next[R] || cur[F] == next[F] || cur[R] - cur[F] == next[R] - next[F] || cur[R] + cur[F] == next[R] + next[F]; + } + + virtual void reinit(const State& state) override; +}; + +struct King : public Piece { + King(Colors color, char pos) : Piece(Types::King, color, pos, {}) {} + + virtual bool movePattern(char pos) const override { + if (m_pos == INVALID_POS) return false; + auto cur = coord(); + auto next = positions[pos]; + Direction diff = {char(next[R] - cur[R]), char(next[F] - cur[F])}; + return diff[R]*diff[R] + diff[F]*diff[F] <= 2; + } + + virtual void reinit(const State& state) override; +}; + +struct PieceSet { + Piece* begin() { return &p1; } + Piece* end() { return &r2 + 1; } + const Piece* begin() const { return &p1; } + const Piece* end() const { return &r2 + 1; } + Piece& operator[](int i) { return *(begin() + i); } + const Piece& operator[](int i) const { return *(begin() + i); } + + Pawn p1; + Pawn p2; + Pawn p3; + Pawn p4; + Pawn p5; + Pawn p6; + Pawn p7; + Pawn p8; + Rook r1; + Knight n1; + Bishop b1; + Queen q; + King k; + Bishop b2; + Knight n2; + Rook r2; +}; + +struct State { + State(); + PieceSet blacks; + PieceSet whites; + Board board; + Pins blackPins; + Pins whitePins; +}; + +Direction findPin(const Piece& piece, const State& state) { + auto& pins = piece.color() ? state.blackPins : state.whitePins; + auto it = std::find_if(pins.begin(), pins.end(), [&] (const Pin& pin) { return pin.pinned == &piece; }); + if (it != pins.end()) return it->d; + return {0, 0}; +} + +struct Find { + Find(const Board& board) : m_board(board) {} + bool operator() (char pos) const { return m_board[pos]; } + const Board& m_board; +}; + +struct Add { + Add(const Board& board, std::set& moves, Piece::Colors color) : m_board(board), m_moves(moves), m_color(color) {} + bool operator() (char pos) const { + if (!m_board[pos] || m_board[pos]->color() != m_color) m_moves.insert(pos); + return m_board[pos]; + } + const Board& m_board; + std::set& m_moves; + Piece::Colors m_color; +}; + +void Pawn::reinit(const State& state) { + if (m_pos == INVALID_POS) return; + if (!m_update) return; + m_update = false; + m_allowed.clear(); + + auto pin = findPin(*this, state); + + auto & left = m_color ? SW : NW; + auto & right = m_color ? SE : NE; + + for (auto& direction : filter(pin, { left, right })) { + auto pos = makeStep(m_pos, direction); + if (pos != INVALID_POS && state.board[pos] && state.board[pos]->color() != m_color) m_allowed.insert(pos); + } + + auto & forward = m_color ? S : N; + if (!filter(pin, {forward}).empty()) { + traverse(m_pos, forward, [&] (char pos) { + if (!state.board[pos]) m_allowed.insert(pos); + return state.board[pos] || !is_first_move(); + }, 2); + } +} + +void Knight::reinit(const State& state) { + if (m_pos == INVALID_POS) return; + if (!m_update) return; + m_update = false; + m_allowed.clear(); + auto pin = findPin(*this, state); + if (pin[R] != 0 || pin[F] != 0) return; + for (auto& direction : { NNE, ENE, ESE, SSE, SSW, WSW, WNW, NNW }) { + auto pos = makeStep(m_pos, direction); + if (pos != INVALID_POS && (!state.board[pos] || state.board[pos]->color() != m_color)) m_allowed.insert(pos); + } +} + +void Bishop::reinit(const State& state) { + if (m_pos == INVALID_POS) return; + if (!m_update) return; + m_update = false; + m_allowed.clear(); + auto pin = findPin(*this, state); + for (auto& direction : filter(pin, { NE, SE, SW, NW })) { + traverse(m_pos, direction, Add(state.board, m_allowed, m_color)); + } +} + +void Rook::reinit(const State& state) { + if (m_pos == INVALID_POS) return; + if (!m_update) return; + m_update = false; + m_allowed.clear(); + auto pin = findPin(*this, state); + for (auto& direction : filter(pin, { N, E, S, W })) { + traverse(m_pos, direction, Add(state.board, m_allowed, m_color)); + } +} + +void Queen::reinit(const State& state) { + if (m_pos == INVALID_POS) return; + if (!m_update) return; + m_update = false; + m_allowed.clear(); + auto pin = findPin(*this, state); + for (auto& direction : filter(pin, { N, NE, E, SE, S, SW, W, NW })) { + traverse(m_pos, direction, Add(state.board, m_allowed, m_color)); + } +} + +void King::reinit(const State& state) { + if (m_pos == INVALID_POS) return; + if (!m_update) return; + m_update = false; + m_allowed.clear(); + auto& enemyPieces = m_color ? state.whites : state.blacks; + auto& pawnAttackLeft = m_color ? SW : NW; + auto& pawnAttackRight = m_color ? SE : NE; + for (auto& direction : { N, NE, E, SE, S, SW, W, NW }) { + auto pos = makeStep(m_pos, direction); + bool accept = pos != INVALID_POS && !(state.board[pos] && state.board[pos]->color() == m_color); + if (accept) { + for (auto& p : enemyPieces) { + if (!p.movePattern(pos)) continue; + if (p.type() == Piece::Knight || p.type() == Piece::King) { + accept = false; + break; + } + else if (p.type() == Piece::Pawn) { + auto from = positions[pos]; + auto to = p.coord(); + Direction d {char(to[R] - from[R]), char(to[F] - from[F])}; + if (d == pawnAttackLeft || d == pawnAttackRight) { + accept = false; + break; + } + } + else { + auto from = positions[pos]; + auto to = p.coord(); + Direction d = normalize({char(to[R] - from[R]), char(to[F] - from[F])}); + auto reached = traverse(pos, d, Find(state.board)); + if (p.pos() == reached) { + accept = false; + break; + } + } + } + } + if (accept) m_allowed.insert(pos); + } +} + +const char* Piece::name() const { + static_assert(pieceNames.size() == Piece::NUM_PIECES, "Mismatch between piece names and types"); + return pieceNames[m_type]; +} + +char Piece::initial() const { + static_assert(blackShort.size() == Piece::NUM_PIECES, "Mismatch between piece names and types"); + static_assert(whiteShort.size() == Piece::NUM_PIECES, "Mismatch between piece names and types"); + return m_color ? blackShort[m_type] : whiteShort[m_type]; +} + +void Piece::invalidate() { + m_update = true; +} + + +const char* Piece::coord() const { + if (m_pos == INVALID_POS) return ""; + return positions[m_pos]; +} + +bool Piece::canReach(char pos) const { + return movePattern(pos) && m_allowed.count(pos); +} + +void Piece::take() { + m_pos = INVALID_POS; + m_allowed = {}; +} + +State::State() + : blacks { + {Piece::Black, "a7"_P, {"a5"_P, "a6"_P} }, + {Piece::Black, "b7"_P, {"b5"_P, "b6"_P} }, + {Piece::Black, "c7"_P, {"c5"_P, "c6"_P} }, + {Piece::Black, "d7"_P, {"d5"_P, "d6"_P} }, + {Piece::Black, "e7"_P, {"e5"_P, "e6"_P} }, + {Piece::Black, "f7"_P, {"f5"_P, "f6"_P} }, + {Piece::Black, "g7"_P, {"g5"_P, "g6"_P} }, + {Piece::Black, "h7"_P, {"h5"_P, "h6"_P} }, + {Piece::Black, "a8"_P}, + {Piece::Black, "b8"_P, {"a6"_P, "c6"_P} }, + {Piece::Black, "c8"_P}, + {Piece::Black, "d8"_P}, + {Piece::Black, "e8"_P}, + {Piece::Black, "f8"_P}, + {Piece::Black, "g8"_P, {"f6"_P, "h6"_P} }, + {Piece::Black, "h8"_P}, + } + , whites { + {Piece::White, "a2"_P, {"a3"_P, "a4"_P} }, + {Piece::White, "b2"_P, {"b3"_P, "b4"_P} }, + {Piece::White, "c2"_P, {"c3"_P, "c4"_P} }, + {Piece::White, "d2"_P, {"d3"_P, "d4"_P} }, + {Piece::White, "e2"_P, {"e3"_P, "e4"_P} }, + {Piece::White, "f2"_P, {"f3"_P, "f4"_P} }, + {Piece::White, "g2"_P, {"g3"_P, "g4"_P} }, + {Piece::White, "h2"_P, {"h3"_P, "h4"_P} }, + {Piece::White, "a1"_P}, + {Piece::White, "b1"_P, {"a3"_P, "c3"_P} }, + {Piece::White, "c1"_P}, + {Piece::White, "d1"_P}, + {Piece::White, "e1"_P}, + {Piece::White, "f1"_P}, + {Piece::White, "g1"_P, {"f3"_P, "h3"_P} }, + {Piece::White, "h1"_P}, + } + , board {{ + &whites[ 8], &whites[ 9], &whites[10], &whites[11], &whites[12], &whites[13], &whites[14], &whites[15], + &whites[ 0], &whites[ 1], &whites[ 2], &whites[ 3], &whites[ 4], &whites[ 5], &whites[ 6], &whites[ 7], + nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, + nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, + nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, + nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, + &blacks[ 0], &blacks[ 1], &blacks[ 2], &blacks[ 3], &blacks[ 4], &blacks[ 5], &blacks[ 6], &blacks[ 7], + &blacks[ 8], &blacks[ 9], &blacks[10], &blacks[11], &blacks[12], &blacks[13], &blacks[14], &blacks[15], + }} +{} + +Chessboard::Chessboard() + : m_state(new State()) +{ + setGrammar(); +} + +Chessboard::~Chessboard() = default; + +void Chessboard::setPrompt(const std::string& prompt) { + m_prompt = prompt; + setGrammar(); +} + +void Chessboard::setGrammar() { + m_grammar.clear(); + + std::string result; + if (m_prompt.empty()) { + result += "move ::= \" \" ((piece | frompos) \" \" \"to \"?)? topos\n"; + //result += "move ::= \" \" frompos \" \" \"to \"? topos\n"; + } + else { + // result += "move ::= prompt \" \" ((piece | frompos) \" \" \"to \"?)? topos\n" + result += "move ::= prompt \" \" frompos \" \" \"to \"? topos\n" + "prompt ::= \" " + m_prompt + "\"\n"; + } + + std::set pieceTypes; + std::set from_pos; + std::set to_pos; + auto& pieces = m_moveCounter % 2 ? m_state->blacks : m_state->whites; + std::set flags; + for (auto& p : pieces) { + if (p.allowed().empty()) continue; + bool addPiece = false; + if (!m_inCheck || p.type() == Piece::King) { + to_pos.insert(p.allowed().begin(), p.allowed().end()); + addPiece = !p.allowed().empty(); + } + else { + for (auto move : p.allowed()) { + if (m_allowedInCheck.count(move)) { + to_pos.insert(move); + addPiece = true; + } + } + } + if (addPiece) { + pieceTypes.insert(p.type()); + from_pos.insert(p.pos()); + } + } + if (pieceTypes.empty()) return; + + result += "piece ::= ("; + for (auto& p : pieceTypes) result += " \"" + std::string(pieceNames[p]) + "\" |"; + result.pop_back(); + result += ")\n\n"; + + result += "frompos ::= ("; + for (auto& p : from_pos) result += " \"" + std::string(positions[p]) + "\" |"; + result.pop_back(); + result += ")\n"; + + result += "topos ::= ("; + for (auto& p : to_pos) result += " \"" + std::string(positions[p]) + "\" |"; + result.pop_back(); + result += ")\n"; + + m_grammar = std::move(result); +} + +std::string Chessboard::stringifyBoard() { + std::string result; + result.reserve(16 + 2 * 64 + 16); + for (char rank = 'a'; rank <= 'h'; ++rank) { + result.push_back(rank); + result.push_back(' '); + } + result.back() = '\n'; + for (int i = 7; i >= 0; --i) { + for (int j = 0; j < 8; ++j) { + auto p = m_state->board[i * 8 + j]; + if (p) result.push_back(p->initial()); + else result.push_back((i + j) % 2 ? '.' : '*'); + result.push_back(' '); + } + result.push_back('0' + i + 1); + result.push_back('\n'); + } + return result; +} + +std::string Chessboard::process(const std::string& command) { + const auto t_start = std::chrono::high_resolution_clock::now(); + auto color = Piece::Colors(m_moveCounter % 2); + Piece* piece = nullptr; + auto pos_to = INVALID_POS; + if (!parseCommand(command, piece, pos_to)) return ""; + + auto pos_from = piece->pos(); + + if (!move(*piece, pos_to)) return ""; + + flagUpdates(pos_from, pos_to); + + detectChecks(); + + auto& enemyPieces = color ? m_state->whites : m_state->blacks; + for (auto& p : enemyPieces) p.reinit(*m_state); // only enemy moves needed next + + std::string result = {positions[pos_from][R], positions[pos_from][F], '-', positions[pos_to][R], positions[pos_to][F]}; + ++m_moveCounter; + setGrammar(); + const auto t_end = std::chrono::high_resolution_clock::now(); + auto t_ms = std::chrono::duration_cast(t_end - t_start).count(); + fprintf(stdout, "%s: Move '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", result.data(), "\033[0m", (int) t_ms); + if (m_grammar.empty()) result.push_back('#'); + return result; +} + +bool Chessboard::parseCommand(const std::string& command, Piece*& piece, char& pos_to) { + auto color = Piece::Colors(m_moveCounter % 2); + fprintf(stdout, "%s: Command to %s: '%s%.*s%s'\n", __func__, (color ? "Black" : "White"), "\033[1m", int(command.size()), command.data(), "\033[0m"); + + if (command.empty()) return false; + auto tokens = split(command, ' '); + auto pos_from = INVALID_POS; + auto type = Piece::Types::NUM_PIECES; + if (tokens.size() == 1) { + type = Piece::Types::Pawn; + pos_to = strToPos(tokens.front()); + } + else { + pos_from = strToPos(tokens.front()); + if (pos_from == INVALID_POS) type = Piece::Types(strToType(tokens.front())); + pos_to = strToPos(tokens.back()); + } + if (pos_to == INVALID_POS) return false; + if (pos_from == INVALID_POS) { + if (type == Piece::Types::NUM_PIECES) return false; + auto& pieces = color ? m_state->blacks : m_state->whites; + for (auto& p : pieces) { + if (p.type() == type && p.canReach(pos_to)) { + pos_from = p.pos(); + break; + } + } + } + if (pos_from == INVALID_POS) return false; + if (m_state->board[pos_from] == nullptr) return false; + piece = m_state->board[pos_from]; + if (piece->color() != color) return false; + return true; +} + +void Chessboard::flagUpdates(char pos_from, char pos_to) { + auto color = Piece::Colors(m_moveCounter % 2); + auto& enemyPieces = color ? m_state->whites : m_state->blacks; + auto& ownPieces = color ? m_state->blacks : m_state->whites; + for (auto& p : enemyPieces) { + if (p.movePattern(pos_to) || p.movePattern(pos_from)) { + updatePins(p); + p.invalidate(); + } + } + + for (auto& p : ownPieces) { + if (p.movePattern(pos_to) || p.movePattern(pos_from)) { + updatePins(p); + p.invalidate(); + } + } +} + +void Chessboard::updatePins(Piece& piece) { + if (piece.type() == Piece::Pawn || piece.type() == Piece::Knight || piece.type() == Piece::King) return; + auto& enemyPieces = piece.color() ? m_state->whites : m_state->blacks; + auto& enemyPins = piece.color() ? m_state->whitePins : m_state->blackPins; + auto& king = enemyPieces.k; + auto it = std::find_if(enemyPins.begin(), enemyPins.end(), [&] (const Pin& pin) { return pin.pinner == &piece; }); + if (it != enemyPins.end()) { + it->pinned->invalidate(); + enemyPins.erase(it); + } + if (piece.movePattern(king.pos())) { + auto to = positions[king.pos()]; + auto from = piece.coord(); + Direction d = normalize({char(to[R] - from[R]), char(to[F] - from[F])}); + + auto reached = traverse(piece.pos(), d, Find(m_state->board)); + auto foundPiece = m_state->board[reached]; + if (&king == foundPiece) { + // check + king.invalidate(); + } + else if (foundPiece && foundPiece->color() != piece.color()) { + reached = traverse(reached, d, Find(m_state->board)); + if (&king == m_state->board[reached]) { + enemyPins.push_back({d, &piece, foundPiece}); + foundPiece->invalidate(); + } + } + } +} + +void Chessboard::detectChecks() { + auto color = Piece::Colors(m_moveCounter % 2); + auto& enemyPieces = color ? m_state->whites : m_state->blacks; + auto& ownPieces = color ? m_state->blacks : m_state->whites; + auto& king = enemyPieces.k; + auto& pawnAttackLeft = color ? SW : NW; + auto& pawnAttackRight = color ? SE : NE; + for (auto& p : ownPieces) { + if (!p.movePattern(king.pos())) continue; + auto to = positions[king.pos()]; + auto from = p.coord(); + + if (p.type() == Piece::Knight) { + if (!m_inCheck) { + m_allowedInCheck = { p.pos() }; + } + else { + m_allowedInCheck.clear(); + } + m_inCheck = true; + } + else if (p.type() == Piece::Pawn) { + Direction d {char(to[R] - from[R]), char(to[F] - from[F])}; + if (d == pawnAttackLeft || d == pawnAttackRight) { + if (!m_inCheck) { + m_allowedInCheck = { p.pos() }; + } + else { + m_allowedInCheck.clear(); + } + m_inCheck = true; + } + } + else { + Direction d = normalize({char(to[R] - from[R]), char(to[F] - from[F])}); + std::set tmp; + auto pos = traverse(p.pos(), d, Add(m_state->board, tmp, king.color())); + if (pos == king.pos()) { + tmp.insert(p.pos()); + if (!m_inCheck) { + m_allowedInCheck = std::move(tmp); + } + else { + m_allowedInCheck.clear(); + } + m_inCheck = true; + } + } + } +} + +bool Chessboard::move(Piece& piece, char pos_to) { + auto& allowed = piece.allowed(); + + if (allowed.count(pos_to) == 0 || (m_inCheck && piece.type() != Piece::King && m_allowedInCheck.count(pos_to) == 0)) return false; + if (m_state->board[pos_to] && m_state->board[pos_to]->color() == piece.color()) return false; + if (m_state->board[pos_to]) m_state->board[pos_to]->take(); + m_state->board[piece.pos()] = nullptr; + m_state->board[pos_to] = &piece; + piece.setPos(pos_to); + + m_inCheck = false; + m_allowedInCheck.clear(); + + return true; +} diff --git a/examples/wchess/libwchess/Chessboard.h b/examples/wchess/libwchess/Chessboard.h new file mode 100644 index 00000000000..588546addcd --- /dev/null +++ b/examples/wchess/libwchess/Chessboard.h @@ -0,0 +1,33 @@ +#pragma once +#include +#include +#include + +// just basic validation +// fixme: missing en passant, castling, promotion, etc. +struct State; +class Piece; +class Chessboard { +public: + Chessboard(); + ~Chessboard(); + std::string process(const std::string& command); + std::string stringifyBoard(); + const std::string& grammar() { return m_grammar; } + const std::string& prompt() { return m_prompt; } + void setPrompt(const std::string& prompt); +private: + bool parseCommand(const std::string& command, Piece*& piece, char& pos_to); + bool move(Piece& piece, char pos); + void flagUpdates(char pos_from, char pos_to); + void updatePins(Piece& piece); + void detectChecks(); + void setGrammar(); + + std::unique_ptr m_state; + std::set m_allowedInCheck; + bool m_inCheck = false; + int m_moveCounter = 0; + std::string m_grammar; + std::string m_prompt; +}; diff --git a/examples/wchess/libwchess/WChess.cpp b/examples/wchess/libwchess/WChess.cpp new file mode 100644 index 00000000000..d9f066962ad --- /dev/null +++ b/examples/wchess/libwchess/WChess.cpp @@ -0,0 +1,193 @@ +#include "WChess.h" +#include "Chessboard.h" +#include "grammar-parser.h" +#include "common.h" +#include + +WChess::WChess(whisper_context * ctx, + const whisper_full_params & wparams, + callbacks cb, + settings s) + : m_ctx(ctx) + , m_wparams(wparams) + , m_cb(cb) + , m_settings(s) + , m_board(new Chessboard()) +{} + +WChess::~WChess() = default; + +void WChess::set_move(const std::string& moves, float prob) const { + if (m_cb.set_move) (*m_cb.set_move)(moves, prob); +} + +void WChess::set_grammar(const std::string& grammar) const { + if (m_cb.set_grammar) (*m_cb.set_grammar)(grammar); +} + +bool WChess::get_audio(std::vector& pcmf32) const { + if (m_cb.get_audio) return (*m_cb.get_audio)(pcmf32); + return false; +} + +std::string WChess::stringify_board() const { + return m_board->stringifyBoard(); +} + +std::string WChess::get_grammar() const { + return m_board->grammar(); +} + +void WChess::run() { + bool have_prompt = true; + bool ask_prompt = !have_prompt; + + float logprob_min = 0.0f; + + float logprob_sum = 0.0f; + + int n_tokens = 0; + + std::vector pcmf32_cur; + std::vector pcmf32_prompt; + + const std::string k_prompt = have_prompt ? "" : "rook to d4, f3"; + int64_t t_ms = 0; + + if (ask_prompt) { + fprintf(stdout, "\n"); + fprintf(stdout, "%s: Say the following phrase: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m"); + fprintf(stdout, "\n"); + + ask_prompt = false; + } + + while (get_audio(pcmf32_cur)) { + if (!pcmf32_cur.empty()) { + // fprintf(stdout, "%s: Processing ...\n", __func__); + + if (!have_prompt) { + const auto txt = ::trim(transcribe(pcmf32_cur, logprob_min, logprob_sum, n_tokens, t_ms)); + + fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms); + + const float sim = similarity(txt, k_prompt); + + if (txt.length() < 0.8*k_prompt.length() || txt.length() > 1.2*k_prompt.length() || sim < 0.8f) { + fprintf(stdout, "%s: WARNING: prompt not recognized, try again\n", __func__); + ask_prompt = true; + } else { + fprintf(stdout, "\n"); + fprintf(stdout, "%s: The prompt has been recognized!\n", __func__); + fprintf(stdout, "%s: Waiting for voice commands ...\n", __func__); + fprintf(stdout, "\n"); + + // save the audio for the prompt + pcmf32_prompt = pcmf32_cur; + have_prompt = true; + m_board->setPrompt(k_prompt); + } + } else { + if (!pcmf32_prompt.empty()) pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end()); + constexpr size_t MIN_SIZE = 1.2 * WHISPER_SAMPLE_RATE; + if (MIN_SIZE > pcmf32_cur.size()) pcmf32_cur.insert(pcmf32_cur.begin(), MIN_SIZE - pcmf32_cur.size(), 0.0f); + + // fprintf(stdout, "%s: grammar rules:\n'%s'\n", __func__, m_board->grammar().c_str()); + + auto grammar_parsed = grammar_parser::parse(m_board->grammar().c_str()); + auto grammar_rules = grammar_parsed.c_rules(); + + m_wparams.grammar_rules = grammar_rules.data(); + m_wparams.n_grammar_rules = grammar_rules.size(); + + m_wparams.i_start_rule = grammar_parsed.symbol_ids.at("move"); + auto txt = ::trim(transcribe(pcmf32_cur, logprob_min, logprob_sum, n_tokens, t_ms)); + + const float p = 100.0f * std::exp(logprob_min); + + fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str()); + + // find the prompt in the text + float best_sim = 0.0f; + size_t best_len = 0; + for (int n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) { + const auto prompt = txt.substr(0, n); + + const float sim = similarity(prompt, k_prompt); + + //fprintf(stderr, "%s: prompt = '%s', sim = %f\n", __func__, prompt.c_str(), sim); + + if (sim > best_sim) { + best_sim = sim; + best_len = n; + } + } + + fprintf(stdout, "%s: DEBUG: txt = '%s', prob = %.2f%%\n", __func__, txt.c_str(), p); + std::string command = ::trim(txt.substr(best_len)); + + fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms); + fprintf(stdout, "\n"); + + if (!command.empty()) { + set_move(m_board->process(command), p); + set_grammar(m_board->grammar()); + } + if (m_board->grammar().empty()) { + fprintf(stdout, "%s: No more moves possible\n", __func__); + break; + } + } + } + + if (ask_prompt) { + fprintf(stdout, "\n"); + fprintf(stdout, "%s: Say the following phrase: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m"); + fprintf(stdout, "\n"); + + ask_prompt = false; + } + } +} + +std::string WChess::transcribe( + const std::vector & pcmf32, + float & logprob_min, + float & logprob_sum, + int & n_tokens, + int64_t & t_ms) { + const auto t_start = std::chrono::high_resolution_clock::now(); + + logprob_min = 0.0f; + logprob_sum = 0.0f; + n_tokens = 0; + t_ms = 0; + + if (whisper_full(m_ctx, m_wparams, pcmf32.data(), pcmf32.size()) != 0) { + return {}; + } + + std::string result; + + const int n_segments = whisper_full_n_segments(m_ctx); + for (int i = 0; i < n_segments; ++i) { + const char * text = whisper_full_get_segment_text(m_ctx, i); + + result += text; + + const int n = whisper_full_n_tokens(m_ctx, i); + for (int j = 0; j < n; ++j) { + const auto token = whisper_full_get_token_data(m_ctx, i, j); + + if(token.plog > 0.0f) return {}; + logprob_min = std::min(logprob_min, token.plog); + logprob_sum += token.plog; + ++n_tokens; + } + } + + const auto t_end = std::chrono::high_resolution_clock::now(); + t_ms = std::chrono::duration_cast(t_end - t_start).count(); + + return result; +} diff --git a/examples/wchess/libwchess/WChess.h b/examples/wchess/libwchess/WChess.h new file mode 100644 index 00000000000..4fb23f0438b --- /dev/null +++ b/examples/wchess/libwchess/WChess.h @@ -0,0 +1,63 @@ +#pragma once +#include "whisper.h" +#include +#include +#include + +class Chessboard; + +class WChess { +public: + using CheckRunningCb = bool (*)(); + using GetAudioCb = bool (*)(std::vector &); + using SetMovesCb = void (*)(const std::string &, float); + using SetGrammarCb = void (*)(const std::string &); + using ClearAudioCb = void (*)(); + + struct callbacks { + GetAudioCb get_audio = nullptr; + SetMovesCb set_move = nullptr; + SetGrammarCb set_grammar = nullptr; + }; + + struct settings { + int32_t vad_ms = 2000; + int32_t prompt_ms = 5000; + int32_t command_ms = 4000; + float vad_thold = 0.2f; + float freq_thold = 100.0f; + bool print_energy = false; + }; + + WChess( + whisper_context * ctx, + const whisper_full_params & wparams, + callbacks cb, + settings s + ); + ~WChess(); + + void run(); + + std::string stringify_board() const; + + std::string get_grammar() const; + +private: + bool get_audio(std::vector& pcmf32) const; + void set_move(const std::string& moves, float prob) const; + void set_grammar(const std::string& grammar) const; + + std::string transcribe( + const std::vector & pcmf32, + float & logprob_min, + float & logprob_sum, + int & n_tokens, + int64_t & t_ms); + + whisper_context * m_ctx; + whisper_full_params m_wparams; + const callbacks m_cb; + const settings m_settings; + std::unique_ptr m_board; +}; diff --git a/examples/wchess/libwchess/test-chessboard.cpp b/examples/wchess/libwchess/test-chessboard.cpp new file mode 100644 index 00000000000..e46d0a166d0 --- /dev/null +++ b/examples/wchess/libwchess/test-chessboard.cpp @@ -0,0 +1,117 @@ +#include "Chessboard.h" + +#define ASSERT(x) \ + do { \ + if (!(x)) { \ + fprintf(stderr, "ASSERT: %s:%d: %s\n", __FILE__, __LINE__, #x); \ + fflush(stderr); \ + exit(1); \ + } \ + } while (0) + + +int main() { + { + Chessboard chess; + + ASSERT(chess.process("pawn to d4") == "d2-d4"); + ASSERT(chess.process("e5") == "e7-e5"); + ASSERT(chess.process("c1 h6") == "c1-h6"); + ASSERT(chess.process("queen h4") == "d8-h4"); + ASSERT(chess.process("bishop to g5") == "h6-g5"); + ASSERT(chess.process("bishop to b4") == "f8-b4"); + ASSERT(chess.process("c4") == ""); + ASSERT(chess.process("knight c3") == "b1-c3"); + ASSERT(chess.process("knight c6") == "b8-c6"); + ASSERT(chess.process("f3") == ""); + } + + { + Chessboard chess; + + ASSERT(chess.process("d4") == "d2-d4"); + ASSERT(chess.process("e5") == "e7-e5"); + ASSERT(chess.process("e4") == "e2-e4"); + ASSERT(chess.process("queen h4") == "d8-h4"); + ASSERT(chess.process("queen h5") == "d1-h5"); + ASSERT(chess.process("f5") == ""); + ASSERT(chess.process("g6") == "g7-g6"); + ASSERT(chess.process("knight e2") == "g1-e2"); + ASSERT(chess.process("f5") == "f7-f5"); + ASSERT(chess.process("knight g3") == "e2-g3"); + ASSERT(chess.process("g5") == ""); + ASSERT(chess.process("king e7") == "e8-e7"); + ASSERT(chess.process("f4") == "f2-f4"); + ASSERT(chess.process("g5") == "g6-g5"); + } + + { + Chessboard chess; + + ASSERT(chess.process("e4") == "e2-e4"); + ASSERT(chess.process("c5") == "c7-c5"); + ASSERT(chess.process("e5") == "e4-e5"); + ASSERT(chess.process("c4") == "c5-c4"); + ASSERT(chess.process("e6") == "e5-e6"); + ASSERT(chess.process("c3") == "c4-c3"); + ASSERT(chess.process("e7") == ""); + ASSERT(chess.process("f7") == "e6-f7"); + ASSERT(chess.process("d2") == ""); + ASSERT(chess.process("king to f7") == "e8-f7"); + ASSERT(chess.process("f4") == "f2-f4"); + ASSERT(chess.process("d2") == "c3-d2"); + ASSERT(chess.process("f5") == ""); + ASSERT(chess.process("king to e2") == "e1-e2"); + ASSERT(chess.process("king to g6") == "f7-g6"); + ASSERT(chess.process("f5") == "f4-f5"); + ASSERT(chess.process("e6") == ""); + ASSERT(chess.process("king to h5") == "g6-h5"); + ASSERT(chess.process("g4") == "g2-g4"); + ASSERT(chess.process("king to g5") == "h5-g5"); + ASSERT(chess.process("h4") == "h2-h4"); + ASSERT(chess.process("king to h5") == ""); + ASSERT(chess.process("king to g6") == ""); + ASSERT(chess.process("king to h6") == "g5-h6"); + ASSERT(chess.process("bishop to d2") == "c1-d2"); + ASSERT(chess.process("king to g5") == ""); + ASSERT(chess.process("g5") == "g7-g5"); + } + + { + Chessboard chess; + ASSERT(chess.process("f4") == "f2-f4"); + ASSERT(chess.process("e5") == "e7-e5"); + ASSERT(chess.process("g4") == "g2-g4"); + ASSERT(chess.process("queen to h4") == "d8-h4#"); + ASSERT(chess.process("knight f3") == ""); + ASSERT(chess.grammar().empty()); + } + + { + Chessboard chess; + ASSERT(chess.process("f4") == "f2-f4"); + ASSERT(chess.process("e5") == "e7-e5"); + ASSERT(chess.process("g4") == "g2-g4"); + ASSERT(chess.process("d5") == "d7-d5"); + ASSERT(chess.process("g1 f3") == "g1-f3"); + ASSERT(chess.process("queen to h4") == "d8-h4"); + ASSERT(!chess.grammar().empty()); + } + + { + Chessboard chess; + ASSERT(chess.process("knight c3") == "b1-c3"); + ASSERT(chess.process("knight c6") == "b8-c6"); + ASSERT(chess.process("knight b5") == "c3-b5"); + ASSERT(chess.process("knight f6") == "g8-f6"); + ASSERT(chess.process("knight d6") == "b5-d6"); + ASSERT(chess.process("knight d4") == ""); + ASSERT(chess.process("d6") == "c7-d6"); + ASSERT(chess.process("e4") == "e2-e4"); + ASSERT(chess.process("knight d4") == "c6-d4"); + ASSERT(chess.process("d3") == "d2-d3"); + ASSERT(chess.process("knight e4") == "f6-e4"); + ASSERT(chess.process("king to e2") == ""); + ASSERT(chess.process("king to d2") == ""); + } +} \ No newline at end of file diff --git a/examples/wchess/wchess.cmd/CMakeLists.txt b/examples/wchess/wchess.cmd/CMakeLists.txt new file mode 100644 index 00000000000..7e107c84b5b --- /dev/null +++ b/examples/wchess/wchess.cmd/CMakeLists.txt @@ -0,0 +1,8 @@ +if (WHISPER_SDL2) + set(TARGET wchess) + add_executable(${TARGET} wchess.cmd.cpp) + + include(DefaultTargetOptions) + + target_link_libraries(${TARGET} PRIVATE wchess-core common-sdl ${CMAKE_THREAD_LIBS_INIT}) +endif () diff --git a/examples/wchess/wchess.cmd/wchess.cmd.cpp b/examples/wchess/wchess.cmd/wchess.cmd.cpp new file mode 100644 index 00000000000..88771b4adc5 --- /dev/null +++ b/examples/wchess/wchess.cmd/wchess.cmd.cpp @@ -0,0 +1,247 @@ +// Command line voice assisted chess +// +// Speak chess move commands to the microphone. +// The moves will translated to chessboard positions. +// +// + +#include "WChess.h" +#include "common-sdl.h" +#include + +#include +#include + +// command-line parameters +struct whisper_params { + int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency()); + int32_t prompt_ms = 5000; + int32_t command_ms = 8000; + int32_t capture_id = -1; + int32_t max_tokens = 32; + int32_t audio_ctx = 0; + + float vad_thold = 0.6f; + float freq_thold = 100.0f; + + float grammar_penalty = 100.0f; + + bool speed_up = false; + bool translate = false; + bool print_special = false; + bool print_energy = false; + bool no_timestamps = true; + bool use_gpu = true; + + std::string language = "en"; + std::string model = "models/ggml-base.en.bin"; + std::string fname_out; + std::string commands; + std::string prompt; + std::string context; + std::string grammar; +}; + +void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) { + fprintf(stderr, "\n"); + fprintf(stderr, "usage: %s [options]\n", argv[0]); + fprintf(stderr, "\n"); + fprintf(stderr, "options:\n"); + fprintf(stderr, " -h, --help [default] show this help message and exit\n"); + fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads); + fprintf(stderr, " -pms N, --prompt-ms N [%-7d] prompt duration in milliseconds\n", params.prompt_ms); + fprintf(stderr, " -cms N, --command-ms N [%-7d] command duration in milliseconds\n", params.command_ms); + fprintf(stderr, " -c ID, --capture ID [%-7d] capture device ID\n", params.capture_id); + fprintf(stderr, " -mt N, --max-tokens N [%-7d] maximum number of tokens per audio chunk\n", params.max_tokens); + fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx); + fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold); + fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold); + fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false"); + fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false"); + fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false"); + fprintf(stderr, " -pe, --print-energy [%-7s] print sound energy (for debugging)\n", params.print_energy ? "true" : "false"); + fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true"); + fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.c_str()); + fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str()); + fprintf(stderr, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str()); + fprintf(stderr, " -cmd FNAME, --commands FNAME [%-7s] text file with allowed commands\n", params.commands.c_str()); + fprintf(stderr, " -p, --prompt [%-7s] the required activation prompt\n", params.prompt.c_str()); + fprintf(stderr, " -ctx, --context [%-7s] sample text to help the transcription\n", params.context.c_str()); + fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty); + fprintf(stderr, "\n"); +} + +bool whisper_params_parse(int argc, char ** argv, whisper_params & params) { + for (int i = 1; i < argc; i++) { + std::string arg = argv[i]; + + if (arg == "-h" || arg == "--help") { + whisper_print_usage(argc, argv, params); + exit(0); + } + else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); } + else if (arg == "-pms" || arg == "--prompt-ms") { params.prompt_ms = std::stoi(argv[++i]); } + else if (arg == "-cms" || arg == "--command-ms") { params.command_ms = std::stoi(argv[++i]); } + else if (arg == "-c" || arg == "--capture") { params.capture_id = std::stoi(argv[++i]); } + else if (arg == "-mt" || arg == "--max-tokens") { params.max_tokens = std::stoi(argv[++i]); } + else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); } + else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); } + else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); } + else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; } + else if (arg == "-tr" || arg == "--translate") { params.translate = true; } + else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; } + else if (arg == "-pe" || arg == "--print-energy") { params.print_energy = true; } + else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; } + else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; } + else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; } + else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; } + else if (arg == "-cmd" || arg == "--commands") { params.commands = argv[++i]; } + else if (arg == "-p" || arg == "--prompt") { params.prompt = argv[++i]; } + else if (arg == "-ctx" || arg == "--context") { params.context = argv[++i]; } + else if ( arg == "--grammar-penalty") { params.grammar_penalty = std::stof(argv[++i]); } + else { + fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); + whisper_print_usage(argc, argv, params); + exit(0); + } + } + + return true; +} + +std::unique_ptr g_wchess; +int g_moveCount = 0; +void set_move(const std::string & move, float) { + if (!move.empty()) { + g_moveCount++; + fprintf(stdout, "Move: %s\n\n", move.c_str()); + } + else fprintf(stdout, "Move rejected\n\n"); + fprintf(stdout, "%s\n", g_wchess->stringify_board().c_str()); + fprintf(stdout, "%s\n", g_moveCount ? "White's turn" : "Black's turn"); +} + +audio_async g_audio(30*1000); +bool g_listening = false; +std::vector g_pcmf32; + +bool read_input() { + std::string input; + while (true) { + fprintf(stdout, "[(l)isten/(p)ause/(q)uit]: "); + std::cin >> input; + fprintf(stdout, "\n"); + if (input[0] == 'q') { + fprintf(stdout, "Quitting\n"); + return false; + } + if (input[0] == 'l') { + if (!g_listening) { + fprintf(stdout, "Listening\n"); + g_listening = true; + g_pcmf32.clear(); + g_audio.resume(); + g_audio.clear(); + } + else fprintf(stdout, "Still listening\n"); + return true; + } + else { + if (g_listening) { + g_listening = false; + g_audio.get(0, g_pcmf32); + g_audio.pause(); + fprintf(stdout, "Processing\n"); + } + else fprintf(stdout, "Not listening\n"); + return true; + } + } + return true; +} + +bool get_audio(std::vector & pcmf32_cur) { + if (!read_input()) return false; + if (!g_pcmf32.empty()) pcmf32_cur = std::move(g_pcmf32); + else pcmf32_cur.clear(); + return true; +} + +int main(int argc, char ** argv) { + whisper_params params; + + if (whisper_params_parse(argc, argv, params) == false) { + return 1; + } + + if (whisper_lang_id(params.language.c_str()) == -1) { + fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str()); + whisper_print_usage(argc, argv, params); + exit(0); + } + + // whisper init + + struct whisper_context_params cparams; + cparams.use_gpu = params.use_gpu; + + struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams); + if (!ctx) { + fprintf(stderr, "%s: whisper_init_from_file_with_params() failed!\n", __func__); + return 1; + } + + // init audio + + if (!g_audio.init(params.capture_id, WHISPER_SAMPLE_RATE)) { + fprintf(stderr, "%s: audio.init() failed!\n", __func__); + return 1; + } + + struct whisper_full_params wparams = whisper_full_default_params(whisper_sampling_strategy::WHISPER_SAMPLING_GREEDY); + wparams.offset_ms = 0; + wparams.translate = false; + wparams.no_context = true; + wparams.single_segment = true; + wparams.print_realtime = false; + wparams.print_progress = false; + wparams.print_timestamps = true; + wparams.print_special = false; + wparams.no_timestamps = true; + + wparams.max_tokens = 32; + wparams.audio_ctx = 768; // partial encoder context for better performance + + wparams.temperature = 0.0f; + wparams.temperature_inc = 2.0f; + wparams.greedy.best_of = 1; + + wparams.beam_search.beam_size = 1; + + wparams.language = "en"; + + wparams.grammar_penalty = 100.0; + + wparams.initial_prompt = params.context.data(); + + WChess::callbacks cb; + cb.get_audio = get_audio; + cb.set_move = set_move; + + WChess::settings s; + s.vad_ms = 2000; + s.prompt_ms = params.prompt_ms; + s.command_ms = params.command_ms; + s.vad_thold = params.vad_thold; + s.freq_thold = params.freq_thold; + s.print_energy = params.print_energy; + + g_wchess.reset(new WChess(ctx, wparams, cb, s)); + set_move("start", 0); + g_wchess->run(); + + whisper_print_timings(ctx); + whisper_free(ctx); + + return 0; +} diff --git a/examples/wchess/wchess.wasm/CMakeLists.txt b/examples/wchess/wchess.wasm/CMakeLists.txt new file mode 100644 index 00000000000..60967b19d68 --- /dev/null +++ b/examples/wchess/wchess.wasm/CMakeLists.txt @@ -0,0 +1,51 @@ +set(TARGET wchess.wasm) + +add_executable(${TARGET} + wchess.wasm.cpp + ) + +include(DefaultTargetOptions) + +target_link_libraries(${TARGET} PRIVATE + common + wchess-core + ) + +unset(EXTRA_FLAGS) + +if (WHISPER_WASM_SINGLE_FILE) + set(EXTRA_FLAGS "-s SINGLE_FILE=1") + message(STATUS "Embedding WASM inside chess.js") + + add_custom_command( + TARGET ${TARGET} POST_BUILD + COMMAND ${CMAKE_COMMAND} -E copy + ${CMAKE_BINARY_DIR}/bin/${TARGET}.js + ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/js/chess.js + ) +endif() + +set_target_properties(${TARGET} PROPERTIES LINK_FLAGS " \ + --bind \ + -s USE_PTHREADS=1 \ + -s PTHREAD_POOL_SIZE=8 \ + -s INITIAL_MEMORY=1024MB \ + -s TOTAL_MEMORY=1024MB \ + -s FORCE_FILESYSTEM=1 \ + -s EXPORTED_RUNTIME_METHODS=\"['print', 'printErr', 'ccall', 'cwrap']\" \ + ${EXTRA_FLAGS} \ + ") + + +add_custom_command( + TARGET ${TARGET} POST_BUILD + COMMAND ${CMAKE_COMMAND} -E copy_directory + ${CMAKE_CURRENT_SOURCE_DIR}/chessboardjs-1.0.0 + ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/ + COMMAND ${CMAKE_COMMAND} -E copy + ${CMAKE_CURRENT_SOURCE_DIR}/jquery-3.7.1.min.js + ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/js/ + ) + +configure_file(${CMAKE_CURRENT_SOURCE_DIR}/index-tmpl.html ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/index.html @ONLY) +configure_file(${CMAKE_SOURCE_DIR}/examples/helpers.js ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/js/helpers.js @ONLY) diff --git a/examples/wchess/wchess.wasm/chessboardjs-1.0.0/css/chessboard-1.0.0.css b/examples/wchess/wchess.wasm/chessboardjs-1.0.0/css/chessboard-1.0.0.css new file mode 100644 index 00000000000..8de95f47023 --- /dev/null +++ b/examples/wchess/wchess.wasm/chessboardjs-1.0.0/css/chessboard-1.0.0.css @@ -0,0 +1,54 @@ +/*! chessboard.js v1.0.0 | (c) 2019 Chris Oakman | MIT License chessboardjs.com/license */ + +.clearfix-7da63 { + clear: both; +} + +.board-b72b1 { + border: 2px solid #404040; + box-sizing: content-box; +} + +.square-55d63 { + float: left; + position: relative; + + /* disable any native browser highlighting */ + -webkit-touch-callout: none; + -webkit-user-select: none; + -khtml-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; +} + +.white-1e1d7 { + background-color: #f0d9b5; + color: #b58863; +} + +.black-3c85d { + background-color: #b58863; + color: #f0d9b5; +} + +.highlight1-32417, .highlight2-9c5d2 { + box-shadow: inset 0 0 3px 3px yellow; +} + +.notation-322f9 { + cursor: default; + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; + font-size: 14px; + position: absolute; +} + +.alpha-d2270 { + bottom: 1px; + right: 3px; +} + +.numeric-fc462 { + top: 2px; + left: 2px; +} diff --git a/examples/wchess/wchess.wasm/chessboardjs-1.0.0/css/chessboard-1.0.0.min.css b/examples/wchess/wchess.wasm/chessboardjs-1.0.0/css/chessboard-1.0.0.min.css new file mode 100644 index 00000000000..73f844a827d --- /dev/null +++ b/examples/wchess/wchess.wasm/chessboardjs-1.0.0/css/chessboard-1.0.0.min.css @@ -0,0 +1,2 @@ +/*! chessboard.js v1.0.0 | (c) 2019 Chris Oakman | MIT License chessboardjs.com/license */ +.clearfix-7da63{clear:both}.board-b72b1{border:2px solid #404040;box-sizing:content-box}.square-55d63{float:left;position:relative;-webkit-touch-callout:none;-webkit-user-select:none;-khtml-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.white-1e1d7{background-color:#f0d9b5;color:#b58863}.black-3c85d{background-color:#b58863;color:#f0d9b5}.highlight1-32417,.highlight2-9c5d2{box-shadow:inset 0 0 3px 3px #ff0}.notation-322f9{cursor:default;font-family:"Helvetica 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https://github.com/oakmac/chessboardjs/blob/master/LICENSE.md + +// start anonymous scope +;(function () { + 'use strict' + + var $ = window['jQuery'] + + // --------------------------------------------------------------------------- + // Constants + // --------------------------------------------------------------------------- + + var COLUMNS = 'abcdefgh'.split('') + var DEFAULT_DRAG_THROTTLE_RATE = 20 + var ELLIPSIS = '…' + var MINIMUM_JQUERY_VERSION = '1.8.3' + var RUN_ASSERTS = false + var START_FEN = 'rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR' + var START_POSITION = fenToObj(START_FEN) + + // default animation speeds + var DEFAULT_APPEAR_SPEED = 200 + var DEFAULT_MOVE_SPEED = 200 + var DEFAULT_SNAPBACK_SPEED = 60 + var DEFAULT_SNAP_SPEED = 30 + var DEFAULT_TRASH_SPEED = 100 + + // use unique class names to prevent clashing with anything else on the page + // and simplify selectors + // NOTE: these should never change + var CSS = {} + CSS['alpha'] = 'alpha-d2270' + CSS['black'] = 'black-3c85d' + CSS['board'] = 'board-b72b1' + CSS['chessboard'] = 'chessboard-63f37' + CSS['clearfix'] = 'clearfix-7da63' + CSS['highlight1'] = 'highlight1-32417' + CSS['highlight2'] = 'highlight2-9c5d2' + CSS['notation'] = 'notation-322f9' + CSS['numeric'] = 'numeric-fc462' + CSS['piece'] = 'piece-417db' + CSS['row'] = 'row-5277c' + CSS['sparePieces'] = 'spare-pieces-7492f' + CSS['sparePiecesBottom'] = 'spare-pieces-bottom-ae20f' + CSS['sparePiecesTop'] = 'spare-pieces-top-4028b' + CSS['square'] = 'square-55d63' + CSS['white'] = 'white-1e1d7' + + // --------------------------------------------------------------------------- + // Misc Util Functions + // --------------------------------------------------------------------------- + + function throttle (f, interval, scope) { + var timeout = 0 + var shouldFire = false + var args = [] + + var handleTimeout = function () { + timeout = 0 + if (shouldFire) { + shouldFire = false + fire() + } + } + + var fire = function () { + timeout = window.setTimeout(handleTimeout, interval) + f.apply(scope, args) + } + + return function (_args) { + args = arguments + if (!timeout) { + fire() + } else { + shouldFire = true + } + } + } + + // function debounce (f, interval, scope) { + // var timeout = 0 + // return function (_args) { + // window.clearTimeout(timeout) + // var args = arguments + // timeout = window.setTimeout(function () { + // f.apply(scope, args) + // }, interval) + // } + // } + + function uuid () { + return 'xxxx-xxxx-xxxx-xxxx-xxxx-xxxx-xxxx-xxxx'.replace(/x/g, function (c) { + var r = (Math.random() * 16) | 0 + return r.toString(16) + }) + } + + function deepCopy (thing) { + return JSON.parse(JSON.stringify(thing)) + } + + function parseSemVer (version) { + var tmp = version.split('.') + return { + major: parseInt(tmp[0], 10), + minor: parseInt(tmp[1], 10), + patch: parseInt(tmp[2], 10) + } + } + + // returns true if version is >= minimum + function validSemanticVersion (version, minimum) { + version = parseSemVer(version) + minimum = parseSemVer(minimum) + + var versionNum = (version.major * 100000 * 100000) + + (version.minor * 100000) + + version.patch + var minimumNum = (minimum.major * 100000 * 100000) + + (minimum.minor * 100000) + + minimum.patch + + return versionNum >= minimumNum + } + + function interpolateTemplate (str, obj) { + for (var key in obj) { + if (!obj.hasOwnProperty(key)) continue + var keyTemplateStr = '{' + key + '}' + var value = obj[key] + while (str.indexOf(keyTemplateStr) !== -1) { + str = str.replace(keyTemplateStr, value) + } + } + return str + } + + if (RUN_ASSERTS) { + console.assert(interpolateTemplate('abc', {a: 'x'}) === 'abc') + console.assert(interpolateTemplate('{a}bc', {}) === '{a}bc') + console.assert(interpolateTemplate('{a}bc', {p: 'q'}) === '{a}bc') + console.assert(interpolateTemplate('{a}bc', {a: 'x'}) === 'xbc') + console.assert(interpolateTemplate('{a}bc{a}bc', {a: 'x'}) === 'xbcxbc') + console.assert(interpolateTemplate('{a}{a}{b}', {a: 'x', b: 'y'}) === 'xxy') + } + + // --------------------------------------------------------------------------- + // Predicates + // --------------------------------------------------------------------------- + + function isString (s) { + return typeof s === 'string' + } + + function isFunction (f) { + return typeof f === 'function' + } + + function isInteger (n) { + return typeof n === 'number' && + isFinite(n) && + Math.floor(n) === n + } + + function validAnimationSpeed (speed) { + if (speed === 'fast' || speed === 'slow') return true + if (!isInteger(speed)) return false + return speed >= 0 + } + + function validThrottleRate (rate) { + return isInteger(rate) && + rate >= 1 + } + + function validMove (move) { + // move should be a string + if (!isString(move)) return false + + // move should be in the form of "e2-e4", "f6-d5" + var squares = move.split('-') + if (squares.length !== 2) return false + + return validSquare(squares[0]) && validSquare(squares[1]) + } + + function validSquare (square) { + return isString(square) && square.search(/^[a-h][1-8]$/) !== -1 + } + + if (RUN_ASSERTS) { + console.assert(validSquare('a1')) + console.assert(validSquare('e2')) + console.assert(!validSquare('D2')) + console.assert(!validSquare('g9')) + console.assert(!validSquare('a')) + console.assert(!validSquare(true)) + console.assert(!validSquare(null)) + console.assert(!validSquare({})) + } + + function validPieceCode (code) { + return isString(code) && code.search(/^[bw][KQRNBP]$/) !== -1 + } + + if (RUN_ASSERTS) { + console.assert(validPieceCode('bP')) + console.assert(validPieceCode('bK')) + console.assert(validPieceCode('wK')) + console.assert(validPieceCode('wR')) + console.assert(!validPieceCode('WR')) + console.assert(!validPieceCode('Wr')) + console.assert(!validPieceCode('a')) + console.assert(!validPieceCode(true)) + console.assert(!validPieceCode(null)) + console.assert(!validPieceCode({})) + } + + function validFen (fen) { + if (!isString(fen)) return false + + // cut off any move, castling, etc info from the end + // we're only interested in position information + fen = fen.replace(/ .+$/, '') + + // expand the empty square numbers to just 1s + fen = expandFenEmptySquares(fen) + + // FEN should be 8 sections separated by slashes + var chunks = fen.split('/') + if (chunks.length !== 8) return false + + // check each section + for (var i = 0; i < 8; i++) { + if (chunks[i].length !== 8 || + chunks[i].search(/[^kqrnbpKQRNBP1]/) !== -1) { + return false + } + } + + return true + } + + if (RUN_ASSERTS) { + console.assert(validFen(START_FEN)) + console.assert(validFen('8/8/8/8/8/8/8/8')) + console.assert(validFen('r1bqkbnr/pppp1ppp/2n5/1B2p3/4P3/5N2/PPPP1PPP/RNBQK2R')) + console.assert(validFen('3r3r/1p4pp/2nb1k2/pP3p2/8/PB2PN2/p4PPP/R4RK1 b - - 0 1')) + console.assert(!validFen('3r3z/1p4pp/2nb1k2/pP3p2/8/PB2PN2/p4PPP/R4RK1 b - - 0 1')) + console.assert(!validFen('anbqkbnr/8/8/8/8/8/PPPPPPPP/8')) + console.assert(!validFen('rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/')) + console.assert(!validFen('rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBN')) + console.assert(!validFen('888888/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR')) + console.assert(!validFen('888888/pppppppp/74/8/8/8/PPPPPPPP/RNBQKBNR')) + console.assert(!validFen({})) + } + + function validPositionObject (pos) { + if (!$.isPlainObject(pos)) return false + + for (var i in pos) { + if (!pos.hasOwnProperty(i)) continue + + if (!validSquare(i) || !validPieceCode(pos[i])) { + return false + } + } + + return true + } + + if (RUN_ASSERTS) { + console.assert(validPositionObject(START_POSITION)) + console.assert(validPositionObject({})) + console.assert(validPositionObject({e2: 'wP'})) + console.assert(validPositionObject({e2: 'wP', d2: 'wP'})) + console.assert(!validPositionObject({e2: 'BP'})) + console.assert(!validPositionObject({y2: 'wP'})) + console.assert(!validPositionObject(null)) + console.assert(!validPositionObject('start')) + console.assert(!validPositionObject(START_FEN)) + } + + function isTouchDevice () { + return 'ontouchstart' in document.documentElement + } + + function validJQueryVersion () { + return typeof window.$ && + $.fn && + $.fn.jquery && + validSemanticVersion($.fn.jquery, MINIMUM_JQUERY_VERSION) + } + + // --------------------------------------------------------------------------- + // Chess Util Functions + // --------------------------------------------------------------------------- + + // convert FEN piece code to bP, wK, etc + function fenToPieceCode (piece) { + // black piece + if (piece.toLowerCase() === piece) { + return 'b' + piece.toUpperCase() + } + + // white piece + return 'w' + piece.toUpperCase() + } + + // convert bP, wK, etc code to FEN structure + function pieceCodeToFen (piece) { + var pieceCodeLetters = piece.split('') + + // white piece + if (pieceCodeLetters[0] === 'w') { + return pieceCodeLetters[1].toUpperCase() + } + + // black piece + return pieceCodeLetters[1].toLowerCase() + } + + // convert FEN string to position object + // returns false if the FEN string is invalid + function fenToObj (fen) { + if (!validFen(fen)) return false + + // cut off any move, castling, etc info from the end + // we're only interested in position information + fen = fen.replace(/ .+$/, '') + + var rows = fen.split('/') + var position = {} + + var currentRow = 8 + for (var i = 0; i < 8; i++) { + var row = rows[i].split('') + var colIdx = 0 + + // loop through each character in the FEN section + for (var j = 0; j < row.length; j++) { + // number / empty squares + if (row[j].search(/[1-8]/) !== -1) { + var numEmptySquares = parseInt(row[j], 10) + colIdx = colIdx + numEmptySquares + } else { + // piece + var square = COLUMNS[colIdx] + currentRow + position[square] = fenToPieceCode(row[j]) + colIdx = colIdx + 1 + } + } + + currentRow = currentRow - 1 + } + + return position + } + + // position object to FEN string + // returns false if the obj is not a valid position object + function objToFen (obj) { + if (!validPositionObject(obj)) return false + + var fen = '' + + var currentRow = 8 + for (var i = 0; i < 8; i++) { + for (var j = 0; j < 8; j++) { + var square = COLUMNS[j] + currentRow + + // piece exists + if (obj.hasOwnProperty(square)) { + fen = fen + pieceCodeToFen(obj[square]) + } else { + // empty space + fen = fen + '1' + } + } + + if (i !== 7) { + fen = fen + '/' + } + + currentRow = currentRow - 1 + } + + // squeeze the empty numbers together + fen = squeezeFenEmptySquares(fen) + + return fen + } + + if (RUN_ASSERTS) { + console.assert(objToFen(START_POSITION) === START_FEN) + console.assert(objToFen({}) === '8/8/8/8/8/8/8/8') + console.assert(objToFen({a2: 'wP', 'b2': 'bP'}) === '8/8/8/8/8/8/Pp6/8') + } + + function squeezeFenEmptySquares (fen) { + return fen.replace(/11111111/g, '8') + .replace(/1111111/g, '7') + .replace(/111111/g, '6') + .replace(/11111/g, '5') + .replace(/1111/g, '4') + .replace(/111/g, '3') + .replace(/11/g, '2') + } + + function expandFenEmptySquares (fen) { + return fen.replace(/8/g, '11111111') + .replace(/7/g, '1111111') + .replace(/6/g, '111111') + .replace(/5/g, '11111') + .replace(/4/g, '1111') + .replace(/3/g, '111') + .replace(/2/g, '11') + } + + // returns the distance between two squares + function squareDistance (squareA, squareB) { + var squareAArray = squareA.split('') + var squareAx = COLUMNS.indexOf(squareAArray[0]) + 1 + var squareAy = parseInt(squareAArray[1], 10) + + var squareBArray = squareB.split('') + var squareBx = COLUMNS.indexOf(squareBArray[0]) + 1 + var squareBy = parseInt(squareBArray[1], 10) + + var xDelta = Math.abs(squareAx - squareBx) + var yDelta = Math.abs(squareAy - squareBy) + + if (xDelta >= yDelta) return xDelta + return yDelta + } + + // returns the square of the closest instance of piece + // returns false if no instance of piece is found in position + function findClosestPiece (position, piece, square) { + // create array of closest squares from square + var closestSquares = createRadius(square) + + // search through the position in order of distance for the piece + for (var i = 0; i < closestSquares.length; i++) { + var s = closestSquares[i] + + if (position.hasOwnProperty(s) && position[s] === piece) { + return s + } + } + + return false + } + + // returns an array of closest squares from square + function createRadius (square) { + var squares = [] + + // calculate distance of all squares + for (var i = 0; i < 8; i++) { + for (var j = 0; j < 8; j++) { + var s = COLUMNS[i] + (j + 1) + + // skip the square we're starting from + if (square === s) continue + + squares.push({ + square: s, + distance: squareDistance(square, s) + }) + } + } + + // sort by distance + squares.sort(function (a, b) { + return a.distance - b.distance + }) + + // just return the square code + var surroundingSquares = [] + for (i = 0; i < squares.length; i++) { + surroundingSquares.push(squares[i].square) + } + + return surroundingSquares + } + + // given a position and a set of moves, return a new position + // with the moves executed + function calculatePositionFromMoves (position, moves) { + var newPosition = deepCopy(position) + + for (var i in moves) { + if (!moves.hasOwnProperty(i)) continue + + // skip the move if the position doesn't have a piece on the source square + if (!newPosition.hasOwnProperty(i)) continue + + var piece = newPosition[i] + delete newPosition[i] + newPosition[moves[i]] = piece + } + + return newPosition + } + + // TODO: add some asserts here for calculatePositionFromMoves + + // --------------------------------------------------------------------------- + // HTML + // --------------------------------------------------------------------------- + + function buildContainerHTML (hasSparePieces) { + var html = '
' + + if (hasSparePieces) { + html += '
' + } + + html += '
' + + if (hasSparePieces) { + html += '
' + } + + html += '
' + + return interpolateTemplate(html, CSS) + } + + // --------------------------------------------------------------------------- + // Config + // --------------------------------------------------------------------------- + + function expandConfigArgumentShorthand (config) { + if (config === 'start') { + config = {position: deepCopy(START_POSITION)} + } else if (validFen(config)) { + config = {position: fenToObj(config)} + } else if (validPositionObject(config)) { + config = {position: deepCopy(config)} + } + + // config must be an object + if (!$.isPlainObject(config)) config = {} + + return config + } + + // validate config / set default options + function expandConfig (config) { + // default for orientation is white + if (config.orientation !== 'black') config.orientation = 'white' + + // default for showNotation is true + if (config.showNotation !== false) config.showNotation = true + + // default for draggable is false + if (config.draggable !== true) config.draggable = false + + // default for dropOffBoard is 'snapback' + if (config.dropOffBoard !== 'trash') config.dropOffBoard = 'snapback' + + // default for sparePieces is false + if (config.sparePieces !== true) config.sparePieces = false + + // draggable must be true if sparePieces is enabled + if (config.sparePieces) config.draggable = true + + // default piece theme is wikipedia + if (!config.hasOwnProperty('pieceTheme') || + (!isString(config.pieceTheme) && !isFunction(config.pieceTheme))) { + config.pieceTheme = 'img/chesspieces/wikipedia/{piece}.png' + } + + // animation speeds + if (!validAnimationSpeed(config.appearSpeed)) config.appearSpeed = DEFAULT_APPEAR_SPEED + if (!validAnimationSpeed(config.moveSpeed)) config.moveSpeed = DEFAULT_MOVE_SPEED + if (!validAnimationSpeed(config.snapbackSpeed)) config.snapbackSpeed = DEFAULT_SNAPBACK_SPEED + if (!validAnimationSpeed(config.snapSpeed)) config.snapSpeed = DEFAULT_SNAP_SPEED + if (!validAnimationSpeed(config.trashSpeed)) config.trashSpeed = DEFAULT_TRASH_SPEED + + // throttle rate + if (!validThrottleRate(config.dragThrottleRate)) config.dragThrottleRate = DEFAULT_DRAG_THROTTLE_RATE + + return config + } + + // --------------------------------------------------------------------------- + // Dependencies + // --------------------------------------------------------------------------- + + // check for a compatible version of jQuery + function checkJQuery () { + if (!validJQueryVersion()) { + var errorMsg = 'Chessboard Error 1005: Unable to find a valid version of jQuery. ' + + 'Please include jQuery ' + MINIMUM_JQUERY_VERSION + ' or higher on the page' + + '\n\n' + + 'Exiting' + ELLIPSIS + window.alert(errorMsg) + return false + } + + return true + } + + // return either boolean false or the $container element + function checkContainerArg (containerElOrString) { + if (containerElOrString === '') { + var errorMsg1 = 'Chessboard Error 1001: ' + + 'The first argument to Chessboard() cannot be an empty string.' + + '\n\n' + + 'Exiting' + ELLIPSIS + window.alert(errorMsg1) + return false + } + + // convert containerEl to query selector if it is a string + if (isString(containerElOrString) && + containerElOrString.charAt(0) !== '#') { + containerElOrString = '#' + containerElOrString + } + + // containerEl must be something that becomes a jQuery collection of size 1 + var $container = $(containerElOrString) + if ($container.length !== 1) { + var errorMsg2 = 'Chessboard Error 1003: ' + + 'The first argument to Chessboard() must be the ID of a DOM node, ' + + 'an ID query selector, or a single DOM node.' + + '\n\n' + + 'Exiting' + ELLIPSIS + window.alert(errorMsg2) + return false + } + + return $container + } + + // --------------------------------------------------------------------------- + // Constructor + // --------------------------------------------------------------------------- + + function constructor (containerElOrString, config) { + // first things first: check basic dependencies + if (!checkJQuery()) return null + var $container = checkContainerArg(containerElOrString) + if (!$container) return null + + // ensure the config object is what we expect + config = expandConfigArgumentShorthand(config) + config = expandConfig(config) + + // DOM elements + var $board = null + var $draggedPiece = null + var $sparePiecesTop = null + var $sparePiecesBottom = null + + // constructor return object + var widget = {} + + // ------------------------------------------------------------------------- + // Stateful + // ------------------------------------------------------------------------- + + var boardBorderSize = 2 + var currentOrientation = 'white' + var currentPosition = {} + var draggedPiece = null + var draggedPieceLocation = null + var draggedPieceSource = null + var isDragging = false + var sparePiecesElsIds = {} + var squareElsIds = {} + var squareElsOffsets = {} + var squareSize = 16 + + // ------------------------------------------------------------------------- + // Validation / Errors + // ------------------------------------------------------------------------- + + function error (code, msg, obj) { + // do nothing if showErrors is not set + if ( + config.hasOwnProperty('showErrors') !== true || + config.showErrors === false + ) { + return + } + + var errorText = 'Chessboard Error ' + code + ': ' + msg + + // print to console + if ( + config.showErrors === 'console' && + typeof console === 'object' && + typeof console.log === 'function' + ) { + console.log(errorText) + if (arguments.length >= 2) { + console.log(obj) + } + return + } + + // alert errors + if (config.showErrors === 'alert') { + if (obj) { + errorText += '\n\n' + JSON.stringify(obj) + } + window.alert(errorText) + return + } + + // custom function + if (isFunction(config.showErrors)) { + config.showErrors(code, msg, obj) + } + } + + function setInitialState () { + currentOrientation = config.orientation + + // make sure position is valid + if (config.hasOwnProperty('position')) { + if (config.position === 'start') { + currentPosition = deepCopy(START_POSITION) + } else if (validFen(config.position)) { + currentPosition = fenToObj(config.position) + } else if (validPositionObject(config.position)) { + currentPosition = deepCopy(config.position) + } else { + error( + 7263, + 'Invalid value passed to config.position.', + config.position + ) + } + } + } + + // ------------------------------------------------------------------------- + // DOM Misc + // ------------------------------------------------------------------------- + + // calculates square size based on the width of the container + // got a little CSS black magic here, so let me explain: + // get the width of the container element (could be anything), reduce by 1 for + // fudge factor, and then keep reducing until we find an exact mod 8 for + // our square size + function calculateSquareSize () { + var containerWidth = parseInt($container.width(), 10) + + // defensive, prevent infinite loop + if (!containerWidth || containerWidth <= 0) { + return 0 + } + + // pad one pixel + var boardWidth = containerWidth - 1 + + while (boardWidth % 8 !== 0 && boardWidth > 0) { + boardWidth = boardWidth - 1 + } + + return boardWidth / 8 + } + + // create random IDs for elements + function createElIds () { + // squares on the board + for (var i = 0; i < COLUMNS.length; i++) { + for (var j = 1; j <= 8; j++) { + var square = COLUMNS[i] + j + squareElsIds[square] = square + '-' + uuid() + } + } + + // spare pieces + var pieces = 'KQRNBP'.split('') + for (i = 0; i < pieces.length; i++) { + var whitePiece = 'w' + pieces[i] + var blackPiece = 'b' + pieces[i] + sparePiecesElsIds[whitePiece] = whitePiece + '-' + uuid() + sparePiecesElsIds[blackPiece] = blackPiece + '-' + uuid() + } + } + + // ------------------------------------------------------------------------- + // Markup Building + // ------------------------------------------------------------------------- + + function buildBoardHTML (orientation) { + if (orientation !== 'black') { + orientation = 'white' + } + + var html = '' + + // algebraic notation / orientation + var alpha = deepCopy(COLUMNS) + var row = 8 + if (orientation === 'black') { + alpha.reverse() + row = 1 + } + + var squareColor = 'white' + for (var i = 0; i < 8; i++) { + html += '
' + for (var j = 0; j < 8; j++) { + var square = alpha[j] + row + + html += '
' + + if (config.showNotation) { + // alpha notation + if ((orientation === 'white' && row === 1) || + (orientation === 'black' && row === 8)) { + html += '
' + alpha[j] + '
' + } + + // numeric notation + if (j === 0) { + html += '
' + row + '
' + } + } + + html += '
' // end .square + + squareColor = (squareColor === 'white') ? 'black' : 'white' + } + html += '
' + + squareColor = (squareColor === 'white') ? 'black' : 'white' + + if (orientation === 'white') { + row = row - 1 + } else { + row = row + 1 + } + } + + return interpolateTemplate(html, CSS) + } + + function buildPieceImgSrc (piece) { + if (isFunction(config.pieceTheme)) { + return config.pieceTheme(piece) + } + + if (isString(config.pieceTheme)) { + return interpolateTemplate(config.pieceTheme, {piece: piece}) + } + + // NOTE: this should never happen + error(8272, 'Unable to build image source for config.pieceTheme.') + return '' + } + + function buildPieceHTML (piece, hidden, id) { + var html = '' + + return interpolateTemplate(html, CSS) + } + + function buildSparePiecesHTML (color) { + var pieces = ['wK', 'wQ', 'wR', 'wB', 'wN', 'wP'] + if (color === 'black') { + pieces = ['bK', 'bQ', 'bR', 'bB', 'bN', 'bP'] + } + + var html = '' + for (var i = 0; i < pieces.length; i++) { + html += buildPieceHTML(pieces[i], false, sparePiecesElsIds[pieces[i]]) + } + + return html + } + + // ------------------------------------------------------------------------- + // Animations + // ------------------------------------------------------------------------- + + function animateSquareToSquare (src, dest, piece, completeFn) { + // get information about the source and destination squares + var $srcSquare = $('#' + squareElsIds[src]) + var srcSquarePosition = $srcSquare.offset() + var $destSquare = $('#' + squareElsIds[dest]) + var destSquarePosition = $destSquare.offset() + + // create the animated piece and absolutely position it + // over the source square + var animatedPieceId = uuid() + $('body').append(buildPieceHTML(piece, true, animatedPieceId)) + var $animatedPiece = $('#' + animatedPieceId) + $animatedPiece.css({ + display: '', + position: 'absolute', + top: srcSquarePosition.top, + left: srcSquarePosition.left + }) + + // remove original piece from source square + $srcSquare.find('.' + CSS.piece).remove() + + function onFinishAnimation1 () { + // add the "real" piece to the destination square + $destSquare.append(buildPieceHTML(piece)) + + // remove the animated piece + $animatedPiece.remove() + + // run complete function + if (isFunction(completeFn)) { + completeFn() + } + } + + // animate the piece to the destination square + var opts = { + duration: config.moveSpeed, + complete: onFinishAnimation1 + } + $animatedPiece.animate(destSquarePosition, opts) + } + + function animateSparePieceToSquare (piece, dest, completeFn) { + var srcOffset = $('#' + sparePiecesElsIds[piece]).offset() + var $destSquare = $('#' + squareElsIds[dest]) + var destOffset = $destSquare.offset() + + // create the animate piece + var pieceId = uuid() + $('body').append(buildPieceHTML(piece, true, pieceId)) + var $animatedPiece = $('#' + pieceId) + $animatedPiece.css({ + display: '', + position: 'absolute', + left: srcOffset.left, + top: srcOffset.top + }) + + // on complete + function onFinishAnimation2 () { + // add the "real" piece to the destination square + $destSquare.find('.' + CSS.piece).remove() + $destSquare.append(buildPieceHTML(piece)) + + // remove the animated piece + $animatedPiece.remove() + + // run complete function + if (isFunction(completeFn)) { + completeFn() + } + } + + // animate the piece to the destination square + var opts = { + duration: config.moveSpeed, + complete: onFinishAnimation2 + } + $animatedPiece.animate(destOffset, opts) + } + + // execute an array of animations + function doAnimations (animations, oldPos, newPos) { + if (animations.length === 0) return + + var numFinished = 0 + function onFinishAnimation3 () { + // exit if all the animations aren't finished + numFinished = numFinished + 1 + if (numFinished !== animations.length) return + + drawPositionInstant() + + // run their onMoveEnd function + if (isFunction(config.onMoveEnd)) { + config.onMoveEnd(deepCopy(oldPos), deepCopy(newPos)) + } + } + + for (var i = 0; i < animations.length; i++) { + var animation = animations[i] + + // clear a piece + if (animation.type === 'clear') { + $('#' + squareElsIds[animation.square] + ' .' + CSS.piece) + .fadeOut(config.trashSpeed, onFinishAnimation3) + + // add a piece with no spare pieces - fade the piece onto the square + } else if (animation.type === 'add' && !config.sparePieces) { + $('#' + squareElsIds[animation.square]) + .append(buildPieceHTML(animation.piece, true)) + .find('.' + CSS.piece) + .fadeIn(config.appearSpeed, onFinishAnimation3) + + // add a piece with spare pieces - animate from the spares + } else if (animation.type === 'add' && config.sparePieces) { + animateSparePieceToSquare(animation.piece, animation.square, onFinishAnimation3) + + // move a piece from squareA to squareB + } else if (animation.type === 'move') { + animateSquareToSquare(animation.source, animation.destination, animation.piece, onFinishAnimation3) + } + } + } + + // calculate an array of animations that need to happen in order to get + // from pos1 to pos2 + function calculateAnimations (pos1, pos2) { + // make copies of both + pos1 = deepCopy(pos1) + pos2 = deepCopy(pos2) + + var animations = [] + var squaresMovedTo = {} + + // remove pieces that are the same in both positions + for (var i in pos2) { + if (!pos2.hasOwnProperty(i)) continue + + if (pos1.hasOwnProperty(i) && pos1[i] === pos2[i]) { + delete pos1[i] + delete pos2[i] + } + } + + // find all the "move" animations + for (i in pos2) { + if (!pos2.hasOwnProperty(i)) continue + + var closestPiece = findClosestPiece(pos1, pos2[i], i) + if (closestPiece) { + animations.push({ + type: 'move', + source: closestPiece, + destination: i, + piece: pos2[i] + }) + + delete pos1[closestPiece] + delete pos2[i] + squaresMovedTo[i] = true + } + } + + // "add" animations + for (i in pos2) { + if (!pos2.hasOwnProperty(i)) continue + + animations.push({ + type: 'add', + square: i, + piece: pos2[i] + }) + + delete pos2[i] + } + + // "clear" animations + for (i in pos1) { + if (!pos1.hasOwnProperty(i)) continue + + // do not clear a piece if it is on a square that is the result + // of a "move", ie: a piece capture + if (squaresMovedTo.hasOwnProperty(i)) continue + + animations.push({ + type: 'clear', + square: i, + piece: pos1[i] + }) + + delete pos1[i] + } + + return animations + } + + // ------------------------------------------------------------------------- + // Control Flow + // ------------------------------------------------------------------------- + + function drawPositionInstant () { + // clear the board + $board.find('.' + CSS.piece).remove() + + // add the pieces + for (var i in currentPosition) { + if (!currentPosition.hasOwnProperty(i)) continue + + $('#' + squareElsIds[i]).append(buildPieceHTML(currentPosition[i])) + } + } + + function drawBoard () { + $board.html(buildBoardHTML(currentOrientation, squareSize, config.showNotation)) + drawPositionInstant() + + if (config.sparePieces) { + if (currentOrientation === 'white') { + $sparePiecesTop.html(buildSparePiecesHTML('black')) + $sparePiecesBottom.html(buildSparePiecesHTML('white')) + } else { + $sparePiecesTop.html(buildSparePiecesHTML('white')) + $sparePiecesBottom.html(buildSparePiecesHTML('black')) + } + } + } + + function setCurrentPosition (position) { + var oldPos = deepCopy(currentPosition) + var newPos = deepCopy(position) + var oldFen = objToFen(oldPos) + var newFen = objToFen(newPos) + + // do nothing if no change in position + if (oldFen === newFen) return + + // run their onChange function + if (isFunction(config.onChange)) { + config.onChange(oldPos, newPos) + } + + // update state + currentPosition = position + } + + function isXYOnSquare (x, y) { + for (var i in squareElsOffsets) { + if (!squareElsOffsets.hasOwnProperty(i)) continue + + var s = squareElsOffsets[i] + if (x >= s.left && + x < s.left + squareSize && + y >= s.top && + y < s.top + squareSize) { + return i + } + } + + return 'offboard' + } + + // records the XY coords of every square into memory + function captureSquareOffsets () { + squareElsOffsets = {} + + for (var i in squareElsIds) { + if (!squareElsIds.hasOwnProperty(i)) continue + + squareElsOffsets[i] = $('#' + squareElsIds[i]).offset() + } + } + + function removeSquareHighlights () { + $board + .find('.' + CSS.square) + .removeClass(CSS.highlight1 + ' ' + CSS.highlight2) + } + + function snapbackDraggedPiece () { + // there is no "snapback" for spare pieces + if (draggedPieceSource === 'spare') { + trashDraggedPiece() + return + } + + removeSquareHighlights() + + // animation complete + function complete () { + drawPositionInstant() + $draggedPiece.css('display', 'none') + + // run their onSnapbackEnd function + if (isFunction(config.onSnapbackEnd)) { + config.onSnapbackEnd( + draggedPiece, + draggedPieceSource, + deepCopy(currentPosition), + currentOrientation + ) + } + } + + // get source square position + var sourceSquarePosition = $('#' + squareElsIds[draggedPieceSource]).offset() + + // animate the piece to the target square + var opts = { + duration: config.snapbackSpeed, + complete: complete + } + $draggedPiece.animate(sourceSquarePosition, opts) + + // set state + isDragging = false + } + + function trashDraggedPiece () { + removeSquareHighlights() + + // remove the source piece + var newPosition = deepCopy(currentPosition) + delete newPosition[draggedPieceSource] + setCurrentPosition(newPosition) + + // redraw the position + drawPositionInstant() + + // hide the dragged piece + $draggedPiece.fadeOut(config.trashSpeed) + + // set state + isDragging = false + } + + function dropDraggedPieceOnSquare (square) { + removeSquareHighlights() + + // update position + var newPosition = deepCopy(currentPosition) + delete newPosition[draggedPieceSource] + newPosition[square] = draggedPiece + setCurrentPosition(newPosition) + + // get target square information + var targetSquarePosition = $('#' + squareElsIds[square]).offset() + + // animation complete + function onAnimationComplete () { + drawPositionInstant() + $draggedPiece.css('display', 'none') + + // execute their onSnapEnd function + if (isFunction(config.onSnapEnd)) { + config.onSnapEnd(draggedPieceSource, square, draggedPiece) + } + } + + // snap the piece to the target square + var opts = { + duration: config.snapSpeed, + complete: onAnimationComplete + } + $draggedPiece.animate(targetSquarePosition, opts) + + // set state + isDragging = false + } + + function beginDraggingPiece (source, piece, x, y) { + // run their custom onDragStart function + // their custom onDragStart function can cancel drag start + if (isFunction(config.onDragStart) && + config.onDragStart(source, piece, deepCopy(currentPosition), currentOrientation) === false) { + return + } + + // set state + isDragging = true + draggedPiece = piece + draggedPieceSource = source + + // if the piece came from spare pieces, location is offboard + if (source === 'spare') { + draggedPieceLocation = 'offboard' + } else { + draggedPieceLocation = source + } + + // capture the x, y coords of all squares in memory + captureSquareOffsets() + + // create the dragged piece + $draggedPiece.attr('src', buildPieceImgSrc(piece)).css({ + display: '', + position: 'absolute', + left: x - squareSize / 2, + top: y - squareSize / 2 + }) + + if (source !== 'spare') { + // highlight the source square and hide the piece + $('#' + squareElsIds[source]) + .addClass(CSS.highlight1) + .find('.' + CSS.piece) + .css('display', 'none') + } + } + + function updateDraggedPiece (x, y) { + // put the dragged piece over the mouse cursor + $draggedPiece.css({ + left: x - squareSize / 2, + top: y - squareSize / 2 + }) + + // get location + var location = isXYOnSquare(x, y) + + // do nothing if the location has not changed + if (location === draggedPieceLocation) return + + // remove highlight from previous square + if (validSquare(draggedPieceLocation)) { + $('#' + squareElsIds[draggedPieceLocation]).removeClass(CSS.highlight2) + } + + // add highlight to new square + if (validSquare(location)) { + $('#' + squareElsIds[location]).addClass(CSS.highlight2) + } + + // run onDragMove + if (isFunction(config.onDragMove)) { + config.onDragMove( + location, + draggedPieceLocation, + draggedPieceSource, + draggedPiece, + deepCopy(currentPosition), + currentOrientation + ) + } + + // update state + draggedPieceLocation = location + } + + function stopDraggedPiece (location) { + // determine what the action should be + var action = 'drop' + if (location === 'offboard' && config.dropOffBoard === 'snapback') { + action = 'snapback' + } + if (location === 'offboard' && config.dropOffBoard === 'trash') { + action = 'trash' + } + + // run their onDrop function, which can potentially change the drop action + if (isFunction(config.onDrop)) { + var newPosition = deepCopy(currentPosition) + + // source piece is a spare piece and position is off the board + // if (draggedPieceSource === 'spare' && location === 'offboard') {...} + // position has not changed; do nothing + + // source piece is a spare piece and position is on the board + if (draggedPieceSource === 'spare' && validSquare(location)) { + // add the piece to the board + newPosition[location] = draggedPiece + } + + // source piece was on the board and position is off the board + if (validSquare(draggedPieceSource) && location === 'offboard') { + // remove the piece from the board + delete newPosition[draggedPieceSource] + } + + // source piece was on the board and position is on the board + if (validSquare(draggedPieceSource) && validSquare(location)) { + // move the piece + delete newPosition[draggedPieceSource] + newPosition[location] = draggedPiece + } + + var oldPosition = deepCopy(currentPosition) + + var result = config.onDrop( + draggedPieceSource, + location, + draggedPiece, + newPosition, + oldPosition, + currentOrientation + ) + if (result === 'snapback' || result === 'trash') { + action = result + } + } + + // do it! + if (action === 'snapback') { + snapbackDraggedPiece() + } else if (action === 'trash') { + trashDraggedPiece() + } else if (action === 'drop') { + dropDraggedPieceOnSquare(location) + } + } + + // ------------------------------------------------------------------------- + // Public Methods + // ------------------------------------------------------------------------- + + // clear the board + widget.clear = function (useAnimation) { + widget.position({}, useAnimation) + } + + // remove the widget from the page + widget.destroy = function () { + // remove markup + $container.html('') + $draggedPiece.remove() + + // remove event handlers + $container.unbind() + } + + // shorthand method to get the current FEN + widget.fen = function () { + return widget.position('fen') + } + + // flip orientation + widget.flip = function () { + return widget.orientation('flip') + } + + // move pieces + // TODO: this method should be variadic as well as accept an array of moves + widget.move = function () { + // no need to throw an error here; just do nothing + // TODO: this should return the current position + if (arguments.length === 0) return + + var useAnimation = true + + // collect the moves into an object + var moves = {} + for (var i = 0; i < arguments.length; i++) { + // any "false" to this function means no animations + if (arguments[i] === false) { + useAnimation = false + continue + } + + // skip invalid arguments + if (!validMove(arguments[i])) { + error(2826, 'Invalid move passed to the move method.', arguments[i]) + continue + } + + var tmp = arguments[i].split('-') + moves[tmp[0]] = tmp[1] + } + + // calculate position from moves + var newPos = calculatePositionFromMoves(currentPosition, moves) + + // update the board + widget.position(newPos, useAnimation) + + // return the new position object + return newPos + } + + widget.orientation = function (arg) { + // no arguments, return the current orientation + if (arguments.length === 0) { + return currentOrientation + } + + // set to white or black + if (arg === 'white' || arg === 'black') { + currentOrientation = arg + drawBoard() + return currentOrientation + } + + // flip orientation + if (arg === 'flip') { + currentOrientation = currentOrientation === 'white' ? 'black' : 'white' + drawBoard() + return currentOrientation + } + + error(5482, 'Invalid value passed to the orientation method.', arg) + } + + widget.position = function (position, useAnimation) { + // no arguments, return the current position + if (arguments.length === 0) { + return deepCopy(currentPosition) + } + + // get position as FEN + if (isString(position) && position.toLowerCase() === 'fen') { + return objToFen(currentPosition) + } + + // start position + if (isString(position) && position.toLowerCase() === 'start') { + position = deepCopy(START_POSITION) + } + + // convert FEN to position object + if (validFen(position)) { + position = fenToObj(position) + } + + // validate position object + if (!validPositionObject(position)) { + error(6482, 'Invalid value passed to the position method.', position) + return + } + + // default for useAnimations is true + if (useAnimation !== false) useAnimation = true + + if (useAnimation) { + // start the animations + var animations = calculateAnimations(currentPosition, position) + doAnimations(animations, currentPosition, position) + + // set the new position + setCurrentPosition(position) + } else { + // instant update + setCurrentPosition(position) + drawPositionInstant() + } + } + + widget.resize = function () { + // calulate the new square size + squareSize = calculateSquareSize() + + // set board width + $board.css('width', squareSize * 8 + 'px') + + // set drag piece size + $draggedPiece.css({ + height: squareSize, + width: squareSize + }) + + // spare pieces + if (config.sparePieces) { + $container + .find('.' + CSS.sparePieces) + .css('paddingLeft', squareSize + boardBorderSize + 'px') + } + + // redraw the board + drawBoard() + } + + // set the starting position + widget.start = function (useAnimation) { + widget.position('start', useAnimation) + } + + // ------------------------------------------------------------------------- + // Browser Events + // ------------------------------------------------------------------------- + + function stopDefault (evt) { + evt.preventDefault() + } + + function mousedownSquare (evt) { + // do nothing if we're not draggable + if (!config.draggable) return + + // do nothing if there is no piece on this square + var square = $(this).attr('data-square') + if (!validSquare(square)) return + if (!currentPosition.hasOwnProperty(square)) return + + beginDraggingPiece(square, currentPosition[square], evt.pageX, evt.pageY) + } + + function touchstartSquare (e) { + // do nothing if we're not draggable + if (!config.draggable) return + + // do nothing if there is no piece on this square + var square = $(this).attr('data-square') + if (!validSquare(square)) return + if (!currentPosition.hasOwnProperty(square)) return + + e = e.originalEvent + beginDraggingPiece( + square, + currentPosition[square], + e.changedTouches[0].pageX, + e.changedTouches[0].pageY + ) + } + + function mousedownSparePiece (evt) { + // do nothing if sparePieces is not enabled + if (!config.sparePieces) return + + var piece = $(this).attr('data-piece') + + beginDraggingPiece('spare', piece, evt.pageX, evt.pageY) + } + + function touchstartSparePiece (e) { + // do nothing if sparePieces is not enabled + if (!config.sparePieces) return + + var piece = $(this).attr('data-piece') + + e = e.originalEvent + beginDraggingPiece( + 'spare', + piece, + e.changedTouches[0].pageX, + e.changedTouches[0].pageY + ) + } + + function mousemoveWindow (evt) { + if (isDragging) { + updateDraggedPiece(evt.pageX, evt.pageY) + } + } + + var throttledMousemoveWindow = throttle(mousemoveWindow, config.dragThrottleRate) + + function touchmoveWindow (evt) { + // do nothing if we are not dragging a piece + if (!isDragging) return + + // prevent screen from scrolling + evt.preventDefault() + + updateDraggedPiece(evt.originalEvent.changedTouches[0].pageX, + evt.originalEvent.changedTouches[0].pageY) + } + + var throttledTouchmoveWindow = throttle(touchmoveWindow, config.dragThrottleRate) + + function mouseupWindow (evt) { + // do nothing if we are not dragging a piece + if (!isDragging) return + + // get the location + var location = isXYOnSquare(evt.pageX, evt.pageY) + + stopDraggedPiece(location) + } + + function touchendWindow (evt) { + // do nothing if we are not dragging a piece + if (!isDragging) return + + // get the location + var location = isXYOnSquare(evt.originalEvent.changedTouches[0].pageX, + evt.originalEvent.changedTouches[0].pageY) + + stopDraggedPiece(location) + } + + function mouseenterSquare (evt) { + // do not fire this event if we are dragging a piece + // NOTE: this should never happen, but it's a safeguard + if (isDragging) return + + // exit if they did not provide a onMouseoverSquare function + if (!isFunction(config.onMouseoverSquare)) return + + // get the square + var square = $(evt.currentTarget).attr('data-square') + + // NOTE: this should never happen; defensive + if (!validSquare(square)) return + + // get the piece on this square + var piece = false + if (currentPosition.hasOwnProperty(square)) { + piece = currentPosition[square] + } + + // execute their function + config.onMouseoverSquare(square, piece, deepCopy(currentPosition), currentOrientation) + } + + function mouseleaveSquare (evt) { + // do not fire this event if we are dragging a piece + // NOTE: this should never happen, but it's a safeguard + if (isDragging) return + + // exit if they did not provide an onMouseoutSquare function + if (!isFunction(config.onMouseoutSquare)) return + + // get the square + var square = $(evt.currentTarget).attr('data-square') + + // NOTE: this should never happen; defensive + if (!validSquare(square)) return + + // get the piece on this square + var piece = false + if (currentPosition.hasOwnProperty(square)) { + piece = currentPosition[square] + } + + // execute their function + config.onMouseoutSquare(square, piece, deepCopy(currentPosition), currentOrientation) + } + + // ------------------------------------------------------------------------- + // Initialization + // ------------------------------------------------------------------------- + + function addEvents () { + // prevent "image drag" + $('body').on('mousedown mousemove', '.' + CSS.piece, stopDefault) + + // mouse drag pieces + $board.on('mousedown', '.' + CSS.square, mousedownSquare) + $container.on('mousedown', '.' + CSS.sparePieces + ' .' + CSS.piece, mousedownSparePiece) + + // mouse enter / leave square + $board + .on('mouseenter', '.' + CSS.square, mouseenterSquare) + .on('mouseleave', '.' + CSS.square, mouseleaveSquare) + + // piece drag + var $window = $(window) + $window + .on('mousemove', throttledMousemoveWindow) + .on('mouseup', mouseupWindow) + + // touch drag pieces + if (isTouchDevice()) { + $board.on('touchstart', '.' + CSS.square, touchstartSquare) + $container.on('touchstart', '.' + CSS.sparePieces + ' .' + CSS.piece, touchstartSparePiece) + $window + .on('touchmove', throttledTouchmoveWindow) + .on('touchend', touchendWindow) + } + } + + function initDOM () { + // create unique IDs for all the elements we will create + createElIds() + + // build board and save it in memory + $container.html(buildContainerHTML(config.sparePieces)) + $board = $container.find('.' + CSS.board) + + if (config.sparePieces) { + $sparePiecesTop = $container.find('.' + CSS.sparePiecesTop) + $sparePiecesBottom = $container.find('.' + CSS.sparePiecesBottom) + } + + // create the drag piece + var draggedPieceId = uuid() + $('body').append(buildPieceHTML('wP', true, draggedPieceId)) + $draggedPiece = $('#' + draggedPieceId) + + // TODO: need to remove this dragged piece element if the board is no + // longer in the DOM + + // get the border size + boardBorderSize = parseInt($board.css('borderLeftWidth'), 10) + + // set the size and draw the board + widget.resize() + } + + // ------------------------------------------------------------------------- + // Initialization + // ------------------------------------------------------------------------- + + setInitialState() + initDOM() + addEvents() + + // return the widget object + return widget + } // end constructor + + // TODO: do module exports here + window['Chessboard'] = constructor + + // support legacy ChessBoard name + window['ChessBoard'] = window['Chessboard'] + + // expose util functions + window['Chessboard']['fenToObj'] = fenToObj + window['Chessboard']['objToFen'] = objToFen +})() // end anonymous wrapper diff --git a/examples/wchess/wchess.wasm/chessboardjs-1.0.0/js/chessboard-1.0.0.min.js b/examples/wchess/wchess.wasm/chessboardjs-1.0.0/js/chessboard-1.0.0.min.js new file mode 100644 index 00000000000..73ea2870fdf --- /dev/null +++ b/examples/wchess/wchess.wasm/chessboardjs-1.0.0/js/chessboard-1.0.0.min.js @@ -0,0 +1,2 @@ +/*! chessboard.js v1.0.0 | (c) 2019 Chris Oakman | MIT License chessboardjs.com/license */ +!function(){"use strict";var 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+
+ wchess : voice-controlled chess using Whisper + WebAssembly + +

+ + This is a demonstration of using Whisper to recognize voice commands in the browser. + +

+ + Usage:
+ +
    +
  • Select a Whisper model
    • +
  • Accept the microphone permission request if prompted
    • +
  • Hold the button and say a chess move (e.g. "Knight to c3")
    • +
  • Release the button and wait for the move to be recognized
    • +
  • Repeat
    • +
+ + Examples:
+ +
    +
  • "d4"
    • +
  • "e2 e4"
    • +
  • "Knight f3"
    • +
  • "Bishop to b5"
    • +
+ + Features:
+ +
    +
  • Model quantization for reduced memory footprint (~42MB)
    • +
  • Grammar-based sampling for improved recognition accuracy
    • +
+ + + Note that not all chess moves are supported. For example, castling and pawn promotion + currently do not work, but can be easily implemented. There could also be some bugs in + the move handling logic in general. The main reason for that is to keep the implementation + simple. The assumption is that a real application would already have a proper move + validation logic in place.

+ + The main purpose of this example is to demonstrate the capabilities of whisper.cpp and + its application in the browser for voice recognition locally on your device. + + +

+ + You can find more about this project on GitHub. + +

+ + More examples: + main | + bench | + stream | + command | + talk | + +

+ +
+ +
+ +
+ Whisper model: + + +

+ + +
+ +
+
+
+ + + + +
+ +
+ Status: select model + +
+ +
+ + 
[The grammar will be displayed here]
+ + 
[The moves will be displayed here]
+
+
+ +
+ + Debug output: + + +
+ + Troubleshooting + +

+ + The page does some heavy computations, so make sure: + +
    +
  • To use a modern web browser (e.g. Chrome, Firefox)
    • +
  • Your browser supports WASM Fixed-width SIMD
    • +
+ +
+ + | + Build time: @GIT_DATE@ | + Commit hash: @GIT_SHA1@ | + Commit subject: @GIT_COMMIT_SUBJECT@ | + Source Code | + +
+
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+ +std::vector g_contexts(4, nullptr); + +std::mutex g_mutex; +std::thread g_worker; + +std::condition_variable g_cv; + +bool g_running(false); +std::vector g_pcmf32; + +void set_move(const std::string & move, float prob) { + MAIN_THREAD_EM_ASM({ + setMove(UTF8ToString($0), $1) + }, move.c_str(), prob); +} + +void set_grammar(const std::string & grammar) { + MAIN_THREAD_EM_ASM({ + setGrammar(UTF8ToString($0)) + }, grammar.c_str()); +} + +bool get_audio(std::vector & audio) { + std::unique_lock lock(g_mutex); + g_cv.wait(lock, [] { return !g_running || !g_pcmf32.empty(); }); + if (!g_running) return false; + audio = std::move(g_pcmf32); + return true; +} + +void wchess_main(size_t i) { + struct whisper_full_params wparams = whisper_full_default_params(whisper_sampling_strategy::WHISPER_SAMPLING_GREEDY); + + wparams.n_threads = std::min(N_THREAD, (int) std::thread::hardware_concurrency()); + wparams.offset_ms = 0; + wparams.translate = false; + wparams.no_context = true; + wparams.single_segment = true; + wparams.print_realtime = false; + wparams.print_progress = false; + wparams.print_timestamps = true; + wparams.print_special = false; + wparams.no_timestamps = true; + + wparams.max_tokens = 32; + wparams.audio_ctx = 1280; // partial encoder context for better performance + + wparams.temperature = 0.0f; + wparams.temperature_inc = 2.0f; + wparams.greedy.best_of = 1; + + wparams.beam_search.beam_size = 1; + + wparams.language = "en"; + + wparams.grammar_penalty = 100.0; + wparams.initial_prompt = "bishop to c3, rook to d4, knight to e5, d4 d5, knight to c3, c3, queen to d4, king b1, pawn to a1, bishop to b2, knight to c3,"; + + printf("command: using %d threads\n", wparams.n_threads); + + WChess::callbacks cb; + cb.get_audio = get_audio; + cb.set_move = set_move; + cb.set_grammar = set_grammar; + + WChess(g_contexts[i], wparams, cb, {}).run(); + + if (i < g_contexts.size()) { + whisper_free(g_contexts[i]); + g_contexts[i] = nullptr; + } +} + +EMSCRIPTEN_BINDINGS(command) { + emscripten::function("init", emscripten::optional_override([](const std::string & path_model) { + for (size_t i = 0; i < g_contexts.size(); ++i) { + if (g_contexts[i] == nullptr) { + g_contexts[i] = whisper_init_from_file_with_params(path_model.c_str(), whisper_context_default_params()); + if (g_contexts[i] != nullptr) { + g_running = true; + if (g_worker.joinable()) { + g_worker.join(); + } + g_worker = std::thread([i]() { + wchess_main(i); + }); + + return i + 1; + } else { + return (size_t) 0; + } + } + } + + return (size_t) 0; + })); + + emscripten::function("free", emscripten::optional_override([](size_t /* index */) { + { + std::unique_lock lock(g_mutex); + g_running = false; + } + g_cv.notify_one(); + })); + + emscripten::function("set_audio", emscripten::optional_override([](size_t index, const emscripten::val & audio) { + --index; + + if (index >= g_contexts.size()) { + return -1; + } + + if (g_contexts[index] == nullptr) { + return -2; + } + + { + std::lock_guard lock(g_mutex); + const int n = audio["length"].as(); + + emscripten::val heap = emscripten::val::module_property("HEAPU8"); + emscripten::val memory = heap["buffer"]; + + g_pcmf32.resize(n); + + emscripten::val memoryView = audio["constructor"].new_(memory, reinterpret_cast(g_pcmf32.data()), n); + memoryView.call("set", audio); + } + g_cv.notify_one(); + + return 0; + })); +} diff --git a/examples/whisper.objc/whisper.objc/ViewController.m b/examples/whisper.objc/whisper.objc/ViewController.m index 151b05d9c99..c376b9288b3 100644 --- a/examples/whisper.objc/whisper.objc/ViewController.m +++ b/examples/whisper.objc/whisper.objc/ViewController.m @@ -206,6 +206,7 @@ - (IBAction)onTranscribe:(id)sender { params.offset_ms = 0; params.no_context = true; params.single_segment = self->stateInp.isRealtime; + params.no_timestamps = params.single_segment; CFTimeInterval startTime = CACurrentMediaTime(); diff --git a/examples/whisper.swiftui/whisper.cpp.swift/LibWhisper.swift b/examples/whisper.swiftui/whisper.cpp.swift/LibWhisper.swift index 84559c9a0c6..a71175d9aef 100644 --- a/examples/whisper.swiftui/whisper.cpp.swift/LibWhisper.swift +++ b/examples/whisper.swiftui/whisper.cpp.swift/LibWhisper.swift @@ -8,15 +8,15 @@ enum WhisperError: Error { // Meet Whisper C++ constraint: Don't access from more than one thread at a time. actor WhisperContext { private var context: OpaquePointer - + init(context: OpaquePointer) { self.context = context } - + deinit { whisper_free(context) } - + func fullTranscribe(samples: [Float]) { // Leave 2 processors free (i.e. the high-efficiency cores). let maxThreads = max(1, min(8, cpuCount() - 2)) @@ -24,17 +24,17 @@ actor WhisperContext { var params = whisper_full_default_params(WHISPER_SAMPLING_GREEDY) "en".withCString { en in // Adapted from whisper.objc - params.print_realtime = true - params.print_progress = false + params.print_realtime = true + params.print_progress = false params.print_timestamps = true - params.print_special = false - params.translate = false - params.language = en - params.n_threads = Int32(maxThreads) - params.offset_ms = 0 - params.no_context = true - params.single_segment = false - + params.print_special = false + params.translate = false + params.language = en + params.n_threads = Int32(maxThreads) + params.offset_ms = 0 + params.no_context = true + params.single_segment = false + whisper_reset_timings(context) print("About to run whisper_full") samples.withUnsafeBufferPointer { samples in @@ -46,7 +46,7 @@ actor WhisperContext { } } } - + func getTranscription() -> String { var transcription = "" for i in 0.. WhisperContext { var params = whisper_context_default_params() #if targetEnvironment(simulator) diff --git a/extra/bench.py b/extra/bench.py index 74956e72b9c..25a09db80b0 100644 --- a/extra/bench.py +++ b/extra/bench.py @@ -61,7 +61,9 @@ def __call__(self, parser, namespace, values, option_string=None): "ggml-small.bin", "ggml-medium.en.bin", "ggml-medium.bin", - "ggml-large.bin", + "ggml-large-v1.bin", + "ggml-large-v2.bin", + "ggml-large-v3.bin", ] diff --git a/extra/sync-ggml-am.sh b/extra/sync-ggml-am.sh new file mode 100755 index 00000000000..0b8e55ac07c --- /dev/null +++ b/extra/sync-ggml-am.sh @@ -0,0 +1,153 @@ +#!/bin/bash +# +# Synchronize ggml changes to whisper.cpp +# +# Usage: +# +# $ cd /path/to/whisper.cpp +# $ ./extra/sync-ggml-am.sh +# + +set -e + +sd=$(dirname $0) +cd $sd/../ + +SRC_WHISPER=$(pwd) +SRC_GGML=$(cd ../ggml; pwd) + +if [ ! -d $SRC_GGML ]; then + echo "ggml not found at $SRC_GGML" + exit 1 +fi + +lc=$(cat $SRC_WHISPER/extra/sync-ggml.last) +echo "Syncing ggml changes since commit $lc" + +cd $SRC_GGML + +git log --oneline $lc..HEAD +git log --oneline $lc..HEAD | grep -v "(whisper/[0-9]*)" | cut -d' ' -f1 > $SRC_WHISPER/ggml-commits + +if [ ! -s $SRC_WHISPER/ggml-commits ]; then + rm -v $SRC_WHISPER/ggml-commits + echo "No new commits" + exit 0 +fi + +if [ -f $SRC_WHISPER/ggml-src.patch ]; then + rm -v $SRC_WHISPER/ggml-src.patch +fi + +while read c; do + git format-patch -k $c~1..$c --stdout -- \ + include/ggml/ggml*.h \ + src/ggml*.h \ + src/ggml*.c \ + src/ggml*.cpp \ + src/ggml*.m \ + src/ggml*.metal \ + src/ggml*.cu \ + tests/test-opt.cpp \ + tests/test-grad0.cpp \ + tests/test-quantize-fns.cpp \ + tests/test-quantize-perf.cpp \ + tests/test-backend-ops.cpp \ + >> $SRC_WHISPER/ggml-src.patch +done < $SRC_WHISPER/ggml-commits + +rm -v $SRC_WHISPER/ggml-commits + +# delete files if empty +if [ ! -s $SRC_WHISPER/ggml-src.patch ]; then + rm -v $SRC_WHISPER/ggml-src.patch +fi + +cd $SRC_WHISPER + +if [ -f $SRC_WHISPER/ggml-src.patch ]; then + # replace PR numbers + # + # Subject: some text (#1234) + # Subject: some text (ggml/1234) + cat ggml-src.patch | sed -e 's/^Subject: \(.*\) (#\([0-9]*\))/Subject: \1 (ggml\/\2)/' > ggml-src.patch.tmp + mv ggml-src.patch.tmp ggml-src.patch + + cat ggml-src.patch | sed -e 's/^\(.*\) (#\([0-9]*\))$/\1 (ggml\/\2)/' > ggml-src.patch.tmp + mv ggml-src.patch.tmp ggml-src.patch + + # replace filenames: + # + # src/ggml.c -> ggml.c + # src/ggml-alloc.c -> ggml-alloc.c + # src/ggml-backend-impl.h -> ggml-backend-impl.h + # src/ggml-backend.c -> ggml-backend.c + # src/ggml-cuda.cu -> ggml-cuda.cu + # src/ggml-cuda.h -> ggml-cuda.h + # src/ggml-impl.h -> ggml-impl.h + # src/ggml-metal.h -> ggml-metal.h + # src/ggml-metal.m -> ggml-metal.m + # src/ggml-metal.metal -> ggml-metal.metal + # src/ggml-mpi.h -> ggml-mpi.h + # src/ggml-mpi.c -> ggml-mpi.c + # src/ggml-opencl.cpp -> ggml-opencl.cpp + # src/ggml-opencl.h -> ggml-opencl.h + # src/ggml-quants.c -> ggml-quants.c + # src/ggml-quants.h -> ggml-quants.h + # include/ggml/ggml.h -> ggml.h + # include/ggml/ggml-alloc.h -> ggml-alloc.h + # include/ggml/ggml-backend.h -> ggml-backend.h + # + # examples/common.h -> examples/common.h + # examples/common.cpp -> examples/common.cpp + # examples/common-ggml.h -> examples/common-ggml.h + # examples/common-ggml.cpp -> examples/common-ggml.cpp + # + # examples/whisper/whisper.h -> whisper.h + # examples/whisper/whisper.cpp -> whisper.cpp + # examples/whisper/main.cpp -> examples/main/main.cpp + # examples/whisper/quantize.cpp -> examples/quantize/quantize.cpp + + cat ggml-src.patch | sed \ + -e 's/src\/ggml\.c/ggml.c/g' \ + -e 's/src\/ggml-alloc\.c/ggml-alloc.c/g' \ + -e 's/src\/ggml-backend-impl\.h/ggml-backend-impl.h/g' \ + -e 's/src\/ggml-backend\.c/ggml-backend.c/g' \ + -e 's/src\/ggml-cuda\.cu/ggml-cuda.cu/g' \ + -e 's/src\/ggml-cuda\.h/ggml-cuda.h/g' \ + -e 's/src\/ggml-impl\.h/ggml-impl.h/g' \ + -e 's/src\/ggml-metal\.h/ggml-metal.h/g' \ + -e 's/src\/ggml-metal\.m/ggml-metal.m/g' \ + -e 's/src\/ggml-metal\.metal/ggml-metal.metal/g' \ + -e 's/src\/ggml-mpi\.h/ggml-mpi.h/g' \ + -e 's/src\/ggml-mpi\.c/ggml-mpi.c/g' \ + -e 's/src\/ggml-opencl\.cpp/ggml-opencl.cpp/g' \ + -e 's/src\/ggml-opencl\.h/ggml-opencl.h/g' \ + -e 's/src\/ggml-quants\.c/ggml-quants.c/g' \ + -e 's/src\/ggml-quants\.h/ggml-quants.h/g' \ + -e 's/include\/ggml\/ggml\.h/ggml.h/g' \ + -e 's/include\/ggml\/ggml-alloc\.h/ggml-alloc.h/g' \ + -e 's/include\/ggml\/ggml-backend\.h/ggml-backend.h/g' \ + -e 's/examples\/common\.h/examples\/common.h/g' \ + -e 's/examples\/common\.cpp/examples\/common.cpp/g' \ + -e 's/examples\/common-ggml\.h/examples\/common-ggml.h/g' \ + -e 's/examples\/common-ggml\.cpp/examples\/common-ggml.cpp/g' \ + -e 's/examples\/whisper\/whisper\.h/whisper.h/g' \ + -e 's/examples\/whisper\/whisper\.cpp/whisper.cpp/g' \ + -e 's/examples\/whisper\/main\.cpp/examples\/main\/main.cpp/g' \ + -e 's/examples\/whisper\/quantize\.cpp/examples\/quantize\/quantize.cpp/g' \ + > ggml-src.patch.tmp + mv ggml-src.patch.tmp ggml-src.patch + + git am ggml-src.patch + + rm -v $SRC_WHISPER/ggml-src.patch +fi + +# update last commit +cd $SRC_GGML +git log -1 --format=%H > $SRC_WHISPER/extra/sync-ggml.last + +echo "Done" + +exit 0 diff --git a/extra/sync-ggml.last b/extra/sync-ggml.last new file mode 100644 index 00000000000..9166e0fa3d8 --- /dev/null +++ b/extra/sync-ggml.last @@ -0,0 +1 @@ +965137f49917768959679a9e860dc414e170fd55 diff --git a/extra/sync-llama.sh b/extra/sync-llama.sh new file mode 100755 index 00000000000..855fd54c77d --- /dev/null +++ b/extra/sync-llama.sh @@ -0,0 +1,5 @@ +#!/bin/bash + +cp -rpv ../llama.cpp/llama.h ./examples/talk-llama/llama.h +cp -rpv ../llama.cpp/llama.cpp ./examples/talk-llama/llama.cpp +cp -rpv ../llama.cpp/unicode.h ./examples/talk-llama/unicode.h diff --git a/ggml-alloc.c b/ggml-alloc.c index cdfe4caf696..a27dd54b0eb 100644 --- a/ggml-alloc.c +++ b/ggml-alloc.c @@ -72,7 +72,7 @@ static void remove_allocated_tensor(ggml_tallocr_t alloc, struct ggml_tensor * t // check if a tensor is allocated by this buffer static bool ggml_tallocr_is_own(ggml_tallocr_t alloc, const struct ggml_tensor * tensor) { - return tensor->buffer == alloc->buffer; + return tensor->buffer == alloc->buffer && (!tensor->view_src || tensor->view_src->buffer == alloc->buffer); } static bool ggml_is_view(struct ggml_tensor * t) { @@ -137,7 +137,7 @@ void ggml_tallocr_alloc(ggml_tallocr_t alloc, struct ggml_tensor * tensor) { #ifdef GGML_ALLOCATOR_DEBUG add_allocated_tensor(alloc, tensor); - size_t cur_max = (char*)addr - (char*)alloc->data + size; + size_t cur_max = (char*)addr - (char*)alloc->base + size; if (cur_max > alloc->max_size) { printf("max_size = %.2f MB: tensors: ", cur_max / 1024.0 / 1024.0); for (int i = 0; i < 1024; i++) { @@ -168,10 +168,6 @@ static void ggml_tallocr_free_tensor(ggml_tallocr_t alloc, struct ggml_tensor * size = aligned_offset(NULL, size, alloc->alignment); AT_PRINTF("%s: freeing %s at %p (%zu bytes) - n_free_blocks = %d\n", __func__, tensor->name, ptr, size, alloc->n_free_blocks); - if (!alloc->measure) { - ggml_backend_buffer_free_tensor(alloc->buffer, tensor); - } - #ifdef GGML_ALLOCATOR_DEBUG remove_allocated_tensor(alloc, tensor); #endif @@ -237,7 +233,7 @@ void ggml_tallocr_reset(ggml_tallocr_t alloc) { } ggml_tallocr_t ggml_tallocr_new(void * data, size_t size, size_t alignment) { - struct ggml_backend_buffer * buffer = ggml_backend_cpu_buffer_from_ptr(NULL, data, size); + struct ggml_backend_buffer * buffer = ggml_backend_cpu_buffer_from_ptr(data, size); ggml_tallocr_t alloc = (ggml_tallocr_t)malloc(sizeof(struct ggml_tallocr)); @@ -449,17 +445,15 @@ static ggml_tallocr_t node_tallocr(ggml_gallocr_t galloc, struct ggml_tensor * n static void init_view(ggml_gallocr_t galloc, struct ggml_tensor * view, bool update_backend) { ggml_tallocr_t alloc = node_tallocr(galloc, view); - //printf("init_view: %s from src %s\n", view->name, view->view_src->name); GGML_ASSERT(view->view_src != NULL && view->view_src->data != NULL); if (update_backend) { view->backend = view->view_src->backend; } - view->buffer = view->view_src->buffer; + // views are initialized in the alloc buffer rather than the view_src buffer + view->buffer = alloc->buffer; view->data = (char *)view->view_src->data + view->view_offs; - // FIXME: the view should be initialized by the owning buffer, but currently this breaks the CUDA backend - // due to the ggml_tensor_extra_gpu ring buffer overwriting the KV cache extras - assert(ggml_tallocr_is_measure(alloc) || !view->buffer || view->buffer->backend == alloc->buffer->backend); + assert(ggml_tallocr_is_measure(alloc) || !view->buffer || view->buffer->buft == alloc->buffer->buft); if (!alloc->measure) { ggml_backend_buffer_init_tensor(alloc->buffer, view); @@ -741,6 +735,10 @@ void ggml_allocr_set_parse_seq(ggml_allocr_t alloc, const int * list, int n) { } void ggml_allocr_free(ggml_allocr_t alloc) { + if (alloc == NULL) { + return; + } + ggml_gallocr_free(alloc->galloc); ggml_tallocr_free(alloc->talloc); free(alloc); @@ -765,3 +763,48 @@ size_t ggml_allocr_max_size(ggml_allocr_t alloc) { size_t ggml_allocr_alloc_graph(ggml_allocr_t alloc, struct ggml_cgraph * graph) { return ggml_gallocr_alloc_graph(alloc->galloc, alloc->talloc, graph); } + +// utils +ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft) { + GGML_ASSERT(ggml_get_no_alloc(ctx) == true); + + size_t alignment = ggml_backend_buft_get_alignment(buft); + + size_t nbytes = 0; + for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { + if (t->data == NULL && t->view_src == NULL) { + nbytes += GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment); + } + } + + if (nbytes == 0) { + // all the tensors in the context are already allocated + return NULL; + } + + ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, nbytes); + ggml_tallocr_t tallocr = ggml_tallocr_new_from_buffer(buffer); + + for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { + if (t->data == NULL) { + if (t->view_src == NULL) { + ggml_tallocr_alloc(tallocr, t); + } else { + ggml_backend_view_init(buffer, t); + } + } else { + if (t->view_src != NULL) { + // view of a pre-allocated tensor + ggml_backend_view_init(buffer, t); + } + } + } + + ggml_tallocr_free(tallocr); + + return buffer; +} + +ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors(struct ggml_context * ctx, ggml_backend_t backend) { + return ggml_backend_alloc_ctx_tensors_from_buft(ctx, ggml_backend_get_default_buffer_type(backend)); +} diff --git a/ggml-alloc.h b/ggml-alloc.h index dde2a06bf80..64a41246891 100644 --- a/ggml-alloc.h +++ b/ggml-alloc.h @@ -8,6 +8,7 @@ extern "C" { struct ggml_backend; struct ggml_backend_buffer; +struct ggml_backend_buffer_type; // // Legacy API @@ -42,7 +43,7 @@ GGML_API size_t ggml_allocr_alloc_graph(ggml_allocr_t alloc, struct ggml_cgraph // ggml-backend v2 API // -// Seperate tensor and graph allocator objects +// Separate tensor and graph allocator objects // This is necessary for multi-backend allocation because the graph allocator needs to use multiple tensor allocators // The original API is kept as a wrapper around the new API @@ -80,6 +81,12 @@ GGML_API void ggml_gallocr_alloc_graph_n( struct ggml_hash_set hash_set, ggml_tallocr_t * hash_node_talloc); + +// Utils +// Create a buffer and allocate all the tensors in a ggml_context +GGML_API struct ggml_backend_buffer * ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, struct ggml_backend_buffer_type * buft); +GGML_API struct ggml_backend_buffer * ggml_backend_alloc_ctx_tensors(struct ggml_context * ctx, struct ggml_backend * backend); + #ifdef __cplusplus } #endif diff --git a/ggml-backend-impl.h b/ggml-backend-impl.h index 211e3d42473..05859935a3c 100644 --- a/ggml-backend-impl.h +++ b/ggml-backend-impl.h @@ -12,31 +12,54 @@ extern "C" { // Backend buffer // + // buffer type + typedef void * ggml_backend_buffer_type_context_t; + + struct ggml_backend_buffer_type_i { + ggml_backend_buffer_t (*alloc_buffer) (ggml_backend_buffer_type_t buft, size_t size); + size_t (*get_alignment) (ggml_backend_buffer_type_t buft); // tensor alignment + size_t (*get_alloc_size) (ggml_backend_buffer_type_t buft, struct ggml_tensor * tensor); // data size needed to allocate the tensor, including padding + bool (*supports_backend)(ggml_backend_buffer_type_t buft, ggml_backend_t backend); // check if the buffer type is usable by the backend + // check if tensor data is in host memory + // should be equivalent to supports_backend(buft, ggml_backend_cpu_init()) + bool (*is_host) (ggml_backend_buffer_type_t buft); + }; + + struct ggml_backend_buffer_type { + struct ggml_backend_buffer_type_i iface; + ggml_backend_buffer_type_context_t context; + }; + + // buffer typedef void * ggml_backend_buffer_context_t; struct ggml_backend_buffer_i { - void (*free_buffer) (ggml_backend_buffer_t buffer); - void * (*get_base) (ggml_backend_buffer_t buffer); // get base pointer - size_t (*get_alloc_size)(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); // pre-allocation callback - void (*init_tensor) (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); // post-allocation callback - void (*free_tensor) (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); // pre-free callback + void (*free_buffer) (ggml_backend_buffer_t buffer); + //void (*reset) (ggml_backend_buffer_t buffer); // reset any internal state due to tensor initialization, such as tensor extras + void * (*get_base) (ggml_backend_buffer_t buffer); + void (*init_tensor) (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); + void (*set_tensor) (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size); + void (*get_tensor) (ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size); + // (optional) copy tensor between different buffer-type, allow for single-copy tranfers + void (*cpy_tensor_from)(ggml_backend_buffer_t buffer, struct ggml_tensor * src, struct ggml_tensor * dst); + void (*cpy_tensor_to) (ggml_backend_buffer_t buffer, struct ggml_tensor * src, struct ggml_tensor * dst); + void (*clear) (ggml_backend_buffer_t buffer, uint8_t value); }; struct ggml_backend_buffer { - struct ggml_backend_buffer_i iface; - - ggml_backend_t backend; + struct ggml_backend_buffer_i iface; + ggml_backend_buffer_type_t buft; ggml_backend_buffer_context_t context; - size_t size; }; - GGML_API ggml_backend_buffer_t ggml_backend_buffer_init( - struct ggml_backend * backend, + ggml_backend_buffer_t ggml_backend_buffer_init( + ggml_backend_buffer_type_t buft, struct ggml_backend_buffer_i iface, ggml_backend_buffer_context_t context, size_t size); + // // Backend // @@ -49,20 +72,17 @@ extern "C" { void (*free)(ggml_backend_t backend); // buffer allocation - ggml_backend_buffer_t (*alloc_buffer)(ggml_backend_t backend, size_t size); - - // get buffer alignment - size_t (*get_alignment)(ggml_backend_t backend); + ggml_backend_buffer_type_t (*get_default_buffer_type)(ggml_backend_t backend); - // tensor data access - // these functions can be asynchronous, helper functions are provided for synchronous access that automatically call synchronize + // (optional) asynchroneous tensor data access void (*set_tensor_async)(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size); void (*get_tensor_async)(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size); - void (*synchronize) (ggml_backend_t backend); - // (optional) copy tensor between different backends, allow for single-copy tranfers - void (*cpy_tensor_from)(ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst); - void (*cpy_tensor_to) (ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst); + // (optional) asynchroneous tensor copy + void (*cpy_tensor_from_async)(ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst); + void (*cpy_tensor_to_async) (ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst); + + void (*synchronize)(ggml_backend_t backend); // compute graph with a plan ggml_backend_graph_plan_t (*graph_plan_create) (ggml_backend_t backend, struct ggml_cgraph * cgraph); @@ -82,6 +102,15 @@ extern "C" { ggml_backend_context_t context; }; + + // + // Backend registry + // + + typedef ggml_backend_t (*ggml_backend_init_fn)(const char * params, void * user_data); + + void ggml_backend_register(const char * name, ggml_backend_init_fn init_fn, ggml_backend_buffer_type_t default_buffer_type, void * user_data); + #ifdef __cplusplus } #endif diff --git a/ggml-backend.c b/ggml-backend.c index f6e5fceed0f..2c375206751 100644 --- a/ggml-backend.c +++ b/ggml-backend.c @@ -9,14 +9,43 @@ #include #include -#define UNUSED GGML_UNUSED #define MAX(a, b) ((a) > (b) ? (a) : (b)) + +// backend buffer type + +ggml_backend_buffer_t ggml_backend_buft_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { + return buft->iface.alloc_buffer(buft, size); +} + +size_t ggml_backend_buft_get_alignment(ggml_backend_buffer_type_t buft) { + return buft->iface.get_alignment(buft); +} + +size_t ggml_backend_buft_get_alloc_size(ggml_backend_buffer_type_t buft, struct ggml_tensor * tensor) { + // get_alloc_size is optional, defaults to ggml_nbytes + if (buft->iface.get_alloc_size) { + return buft->iface.get_alloc_size(buft, tensor); + } + return ggml_nbytes(tensor); +} + +bool ggml_backend_buft_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) { + return buft->iface.supports_backend(buft, backend); +} + +bool ggml_backend_buft_is_host(ggml_backend_buffer_type_t buft) { + if (buft->iface.is_host) { + return buft->iface.is_host(buft); + } + return false; +} + // backend buffer ggml_backend_buffer_t ggml_backend_buffer_init( - struct ggml_backend * backend, + ggml_backend_buffer_type_t buft, struct ggml_backend_buffer_i iface, ggml_backend_buffer_context_t context, size_t size) { @@ -26,7 +55,7 @@ ggml_backend_buffer_t ggml_backend_buffer_init( (*buffer) = (struct ggml_backend_buffer) { /* .interface = */ iface, - /* .backend = */ backend, + /* .buft = */ buft, /* .context = */ context, /* .size = */ size, }; @@ -45,10 +74,6 @@ void ggml_backend_buffer_free(ggml_backend_buffer_t buffer) { free(buffer); } -size_t ggml_backend_buffer_get_alignment(ggml_backend_buffer_t buffer) { - return ggml_backend_get_alignment(buffer->backend); -} - size_t ggml_backend_buffer_get_size(ggml_backend_buffer_t buffer) { return buffer->size; } @@ -61,14 +86,6 @@ void * ggml_backend_buffer_get_base(ggml_backend_buffer_t buffer) { return base; } -size_t ggml_backend_buffer_get_alloc_size(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor) { - // get_alloc_size is optional, defaults to ggml_nbytes - if (buffer->iface.get_alloc_size) { - return buffer->iface.get_alloc_size(buffer, tensor); - } - return ggml_nbytes(tensor); -} - void ggml_backend_buffer_init_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor) { // init_tensor is optional if (buffer->iface.init_tensor) { @@ -76,19 +93,28 @@ void ggml_backend_buffer_init_tensor(ggml_backend_buffer_t buffer, struct ggml_t } } -void ggml_backend_buffer_free_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor) { - // free_tensor is optional - if (buffer->iface.free_tensor) { - buffer->iface.free_tensor(buffer, tensor); - } +size_t ggml_backend_buffer_get_alignment (ggml_backend_buffer_t buffer) { + return ggml_backend_buft_get_alignment(ggml_backend_buffer_type(buffer)); } -// backend +size_t ggml_backend_buffer_get_alloc_size(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor) { + return ggml_backend_buft_get_alloc_size(ggml_backend_buffer_type(buffer), tensor); +} + +void ggml_backend_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { + buffer->iface.clear(buffer, value); +} + +bool ggml_backend_buffer_is_host(ggml_backend_buffer_t buffer) { + return ggml_backend_buft_is_host(ggml_backend_buffer_type(buffer)); +} -ggml_backend_t ggml_get_backend(const struct ggml_tensor * tensor) { - return tensor->buffer ? tensor->buffer->backend : NULL; +ggml_backend_buffer_type_t ggml_backend_buffer_type(ggml_backend_buffer_t buffer) { + return buffer->buft; } +// backend + const char * ggml_backend_name(ggml_backend_t backend) { if (backend == NULL) { return "NULL"; @@ -104,43 +130,53 @@ void ggml_backend_free(ggml_backend_t backend) { backend->iface.free(backend); } +ggml_backend_buffer_type_t ggml_backend_get_default_buffer_type(ggml_backend_t backend) { + return backend->iface.get_default_buffer_type(backend); +} + ggml_backend_buffer_t ggml_backend_alloc_buffer(ggml_backend_t backend, size_t size) { - return backend->iface.alloc_buffer(backend, size); + return ggml_backend_buft_alloc_buffer(ggml_backend_get_default_buffer_type(backend), size); } size_t ggml_backend_get_alignment(ggml_backend_t backend) { - return backend->iface.get_alignment(backend); + return ggml_backend_buft_get_alignment(ggml_backend_get_default_buffer_type(backend)); } -void ggml_backend_tensor_set_async(struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) { - ggml_get_backend(tensor)->iface.set_tensor_async(ggml_get_backend(tensor), tensor, data, offset, size); +void ggml_backend_tensor_set_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) { + GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); + GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds"); + + backend->iface.set_tensor_async(backend, tensor, data, offset, size); } -void ggml_backend_tensor_get_async(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) { - ggml_get_backend(tensor)->iface.get_tensor_async(ggml_get_backend(tensor), tensor, data, offset, size); +void ggml_backend_tensor_get_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) { + GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); + GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor read out of bounds"); + + backend->iface.get_tensor_async(backend, tensor, data, offset, size); } void ggml_backend_tensor_set(struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) { - ggml_backend_t backend = ggml_get_backend(tensor); - GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); - GGML_ASSERT(backend != NULL && "tensor backend not set"); + GGML_ASSERT(tensor->buffer != NULL && "tensor buffer not set"); + GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds"); - backend->iface.set_tensor_async(backend, tensor, data, offset, size); - backend->iface.synchronize(backend); + tensor->buffer->iface.set_tensor(tensor->buffer, tensor, data, offset, size); } void ggml_backend_tensor_get(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) { - ggml_backend_t backend = ggml_get_backend(tensor); - GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); - GGML_ASSERT(backend != NULL && "tensor backend not set"); + GGML_ASSERT(tensor->buffer != NULL && "tensor buffer not set"); + GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor read out of bounds"); - backend->iface.get_tensor_async(backend, tensor, data, offset, size); - backend->iface.synchronize(backend); + tensor->buffer->iface.get_tensor(tensor->buffer, tensor, data, offset, size); } void ggml_backend_synchronize(ggml_backend_t backend) { + if (backend->iface.synchronize == NULL) { + return; + } + backend->iface.synchronize(backend); } @@ -154,10 +190,16 @@ void ggml_backend_graph_plan_free(ggml_backend_t backend, ggml_backend_graph_pla void ggml_backend_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_plan_t plan) { backend->iface.graph_plan_compute(backend, plan); + + // TODO: optional sync + ggml_backend_synchronize(backend); } void ggml_backend_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) { backend->iface.graph_compute(backend, cgraph); + + // TODO: optional sync + ggml_backend_synchronize(backend); } bool ggml_backend_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) { @@ -194,14 +236,15 @@ void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst // TODO: allow backends to support copy to/from same backend - if (ggml_get_backend(dst)->iface.cpy_tensor_from != NULL) { - ggml_get_backend(dst)->iface.cpy_tensor_from(ggml_get_backend(dst)->context, src, dst); - } else if (ggml_get_backend(src)->iface.cpy_tensor_to != NULL) { - ggml_get_backend(src)->iface.cpy_tensor_to(ggml_get_backend(src)->context, src, dst); + if (dst->buffer->iface.cpy_tensor_from != NULL) { + dst->buffer->iface.cpy_tensor_from(dst->buffer, src, dst); + } else if (src->buffer->iface.cpy_tensor_to != NULL) { + src->buffer->iface.cpy_tensor_to(src->buffer, src, dst); } else { // shouldn't be hit when copying from/to CPU #ifndef NDEBUG - fprintf(stderr, "ggml_backend_tensor_copy: neither cpy_tensor_from nor cpy_tensor_to are implemented for backends %s and %s, falling back to get/set\n", ggml_backend_name(src->buffer->backend), ggml_backend_name(dst->buffer->backend)); + fprintf(stderr, "ggml_backend_tensor_copy: neither cpy_tensor_from nor cpy_tensor_to " + "are implemented for %s and %s, falling back to get/set\n", src->name, dst->name); #endif size_t nbytes = ggml_nbytes(src); void * data = malloc(nbytes); @@ -211,101 +254,310 @@ void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst } } -// backend CPU +// backend registry -struct ggml_backend_cpu_context { - int n_threads; - void * work_data; - size_t work_size; +#define GGML_MAX_BACKENDS_REG 16 + +struct ggml_backend_reg { + char name[128]; + ggml_backend_init_fn init_fn; + ggml_backend_buffer_type_t default_buffer_type; + void * user_data; }; -static const char * ggml_backend_cpu_name(ggml_backend_t backend) { - return "CPU"; +static struct ggml_backend_reg ggml_backend_registry[GGML_MAX_BACKENDS_REG]; +static size_t ggml_backend_registry_count = 0; + +static ggml_backend_t ggml_backend_reg_cpu_init(const char * params, void * user_data); + +static void ggml_backend_registry_init(void) { + static bool initialized = false; + + if (initialized) { + return; + } + + initialized = true; + + ggml_backend_register("CPU", ggml_backend_reg_cpu_init, ggml_backend_cpu_buffer_type(), NULL); + + // add forward decls here to avoid including the backend headers +#ifdef GGML_USE_CUBLAS + extern void ggml_backend_cuda_reg_devices(void); + ggml_backend_cuda_reg_devices(); +#endif - UNUSED(backend); +#ifdef GGML_USE_METAL + extern ggml_backend_t ggml_backend_reg_metal_init(const char * params, void * user_data); + extern ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void); + ggml_backend_register("Metal", ggml_backend_reg_metal_init, ggml_backend_metal_buffer_type(), NULL); +#endif } -static void ggml_backend_cpu_free(ggml_backend_t backend) { - struct ggml_backend_cpu_context * cpu_ctx = (struct ggml_backend_cpu_context *)backend->context; - free(cpu_ctx->work_data); - free(cpu_ctx); - free(backend); +void ggml_backend_register(const char * name, ggml_backend_init_fn init_fn, ggml_backend_buffer_type_t default_buffer_type, void * user_data) { + GGML_ASSERT(ggml_backend_registry_count < GGML_MAX_BACKENDS_REG); + + size_t id = ggml_backend_registry_count; + + ggml_backend_registry[id] = (struct ggml_backend_reg) { + /* .name = */ {0}, + /* .fn = */ init_fn, + /* .default_buffer_type = */ default_buffer_type, + /* .user_data = */ user_data, + }; + + snprintf(ggml_backend_registry[id].name, sizeof(ggml_backend_registry[id].name), "%s", name); + +#ifndef NDEBUG + fprintf(stderr, "%s: registered backend %s\n", __func__, name); +#endif + + ggml_backend_registry_count++; } +size_t ggml_backend_reg_get_count(void) { + ggml_backend_registry_init(); + + return ggml_backend_registry_count; +} + +size_t ggml_backend_reg_find_by_name(const char * name) { + ggml_backend_registry_init(); + + for (size_t i = 0; i < ggml_backend_registry_count; i++) { + // TODO: case insensitive in a portable way + if (strcmp(ggml_backend_registry[i].name, name) == 0) { + return i; + } + } + + // not found + return SIZE_MAX; +} + +// init from backend:params string +ggml_backend_t ggml_backend_reg_init_backend_from_str(const char * backend_str) { + ggml_backend_registry_init(); + + const char * params = strchr(backend_str, ':'); + char backend_name[128]; + if (params == NULL) { + snprintf(backend_name, sizeof(backend_name), "%s", backend_str); + params = ""; + } else { + snprintf(backend_name, sizeof(backend_name), "%.*s", (int)(params - backend_str), backend_str); + params++; + } + + size_t backend_i = ggml_backend_reg_find_by_name(backend_name); + + if (backend_i == SIZE_MAX) { + fprintf(stderr, "%s: backend %s not found\n", __func__, backend_name); + return NULL; + } + + return ggml_backend_reg_init_backend(backend_i, params); +} + +const char * ggml_backend_reg_get_name(size_t i) { + ggml_backend_registry_init(); + + GGML_ASSERT(i < ggml_backend_registry_count); + return ggml_backend_registry[i].name; +} + +ggml_backend_t ggml_backend_reg_init_backend(size_t i, const char * params) { + ggml_backend_registry_init(); + + GGML_ASSERT(i < ggml_backend_registry_count); + return ggml_backend_registry[i].init_fn(params, ggml_backend_registry[i].user_data); +} + +ggml_backend_buffer_type_t ggml_backend_reg_get_default_buffer_type(size_t i) { + ggml_backend_registry_init(); + + GGML_ASSERT(i < ggml_backend_registry_count); + return ggml_backend_registry[i].default_buffer_type; +} + +ggml_backend_buffer_t ggml_backend_reg_alloc_buffer(size_t i, size_t size) { + ggml_backend_registry_init(); + + GGML_ASSERT(i < ggml_backend_registry_count); + return ggml_backend_buft_alloc_buffer(ggml_backend_registry[i].default_buffer_type, size); +} + +// backend CPU + static void * ggml_backend_cpu_buffer_get_base(ggml_backend_buffer_t buffer) { return (void *)buffer->context; } static void ggml_backend_cpu_buffer_free_buffer(ggml_backend_buffer_t buffer) { free(buffer->context); - UNUSED(buffer); +} + +static void ggml_backend_cpu_buffer_set_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) { + memcpy((char *)tensor->data + offset, data, size); + + GGML_UNUSED(buffer); +} + +static void ggml_backend_cpu_buffer_get_tensor(ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) { + memcpy(data, (const char *)tensor->data + offset, size); + + GGML_UNUSED(buffer); +} + +static void ggml_backend_cpu_buffer_cpy_tensor_from(ggml_backend_buffer_t buffer, struct ggml_tensor * src, struct ggml_tensor * dst) { + ggml_backend_tensor_get(src, dst->data, 0, ggml_nbytes(src)); + + GGML_UNUSED(buffer); +} + +static void ggml_backend_cpu_buffer_cpy_tensor_to(ggml_backend_buffer_t buffer, struct ggml_tensor * src, struct ggml_tensor * dst) { + ggml_backend_tensor_set(dst, src->data, 0, ggml_nbytes(src)); + + GGML_UNUSED(buffer); +} + +static void ggml_backend_cpu_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { + memset(buffer->context, value, buffer->size); } static struct ggml_backend_buffer_i cpu_backend_buffer_i = { - /* .free_buffer = */ ggml_backend_cpu_buffer_free_buffer, - /* .get_base = */ ggml_backend_cpu_buffer_get_base, - /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes - /* .init_tensor = */ NULL, // no initialization required - /* .free_tensor = */ NULL, // no cleanup required + /* .free_buffer = */ ggml_backend_cpu_buffer_free_buffer, + /* .get_base = */ ggml_backend_cpu_buffer_get_base, + /* .init_tensor = */ NULL, // no initialization required + /* .set_tensor = */ ggml_backend_cpu_buffer_set_tensor, + /* .get_tensor = */ ggml_backend_cpu_buffer_get_tensor, + /* .cpy_tensor_from = */ ggml_backend_cpu_buffer_cpy_tensor_from, + /* .cpy_tensor_to = */ ggml_backend_cpu_buffer_cpy_tensor_to, + /* .clear = */ ggml_backend_cpu_buffer_clear, }; // for buffers from ptr, free is not called static struct ggml_backend_buffer_i cpu_backend_buffer_i_from_ptr = { - /* .free_buffer = */ NULL, // ptr is not owned by the buffer, so it does not need to be freed - /* .get_base = */ ggml_backend_cpu_buffer_get_base, - /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes - /* .init_tensor = */ NULL, - /* .free_tensor = */ NULL, + /* .free_buffer = */ NULL, // ptr is not owned by the buffer, so it does not need to be freed + /* .get_base = */ ggml_backend_cpu_buffer_get_base, + /* .init_tensor = */ NULL, // no initialization required + /* .set_tensor = */ ggml_backend_cpu_buffer_set_tensor, + /* .get_tensor = */ ggml_backend_cpu_buffer_get_tensor, + /* .cpy_tensor_from = */ ggml_backend_cpu_buffer_cpy_tensor_from, + /* .cpy_tensor_to = */ ggml_backend_cpu_buffer_cpy_tensor_to, + /* .clear = */ ggml_backend_cpu_buffer_clear, }; static const size_t TENSOR_ALIGNMENT = 64; // should be enough for AVX 512 -static ggml_backend_buffer_t ggml_backend_cpu_alloc_buffer(ggml_backend_t backend, size_t size) { +static ggml_backend_buffer_t ggml_backend_cpu_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { size += TENSOR_ALIGNMENT; // malloc may return an address that is not aligned void * data = malloc(size); // TODO: maybe use GGML_ALIGNED_MALLOC? GGML_ASSERT(data != NULL && "failed to allocate buffer"); - return ggml_backend_buffer_init(backend, cpu_backend_buffer_i, data, size); + return ggml_backend_buffer_init(buft, cpu_backend_buffer_i, data, size); } -static size_t ggml_backend_cpu_get_alignment(ggml_backend_t backend) { +static size_t ggml_backend_cpu_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) { return TENSOR_ALIGNMENT; - UNUSED(backend); + + GGML_UNUSED(buft); } -static void ggml_backend_cpu_set_tensor_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) { - GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds"); - GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); +static bool ggml_backend_cpu_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) { + return ggml_backend_is_cpu(backend); - memcpy((char *)tensor->data + offset, data, size); + GGML_UNUSED(buft); +} - UNUSED(backend); +static bool ggml_backend_cpu_buffer_type_is_host(ggml_backend_buffer_type_t buft) { + return true; + + GGML_UNUSED(buft); } -static void ggml_backend_cpu_get_tensor_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) { - GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor read out of bounds"); - GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); +ggml_backend_buffer_type_t ggml_backend_cpu_buffer_type(void) { + static struct ggml_backend_buffer_type ggml_backend_cpu_buffer_type = { + /* .iface = */ { + /* .alloc_buffer = */ ggml_backend_cpu_buffer_type_alloc_buffer, + /* .get_alignment = */ ggml_backend_cpu_buffer_type_get_alignment, + /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes + /* .supports_backend = */ ggml_backend_cpu_buffer_type_supports_backend, + /* .is_host = */ ggml_backend_cpu_buffer_type_is_host, + }, + /* .context = */ NULL, + }; - memcpy(data, (const char *)tensor->data + offset, size); + return &ggml_backend_cpu_buffer_type; +} + +#ifdef GGML_USE_CPU_HBM + +// buffer type HBM - UNUSED(backend); +#include + +static void ggml_backend_cpu_hbm_buffer_free_buffer(ggml_backend_buffer_t buffer) { + hbw_free(buffer->context); } -static void ggml_backend_cpu_synchronize(ggml_backend_t backend) { - UNUSED(backend); +static ggml_backend_buffer_t ggml_backend_cpu_hbm_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { + //void * ptr = hbw_malloc(size); + void * ptr; + int result = hbw_posix_memalign(&ptr, ggml_backend_cpu_buffer_type_get_alignment(buft), size); + if (result != 0) { + fprintf(stderr, "failed to allocate HBM buffer of size %zu\n", size); + return NULL; + } + + // FIXME: this is a hack to avoid having to implement a new buffer type + ggml_backend_buffer_t buffer = ggml_backend_cpu_buffer_from_ptr(ptr, size); + buffer->buft = buft; + buffer->iface.free_buffer = ggml_backend_cpu_hbm_buffer_free_buffer; + + return buffer; } -static void ggml_backend_cpu_cpy_tensor_from(ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst) { - ggml_backend_tensor_get(src, dst->data, 0, ggml_nbytes(src)); +ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type() { + static struct ggml_backend_buffer_type ggml_backend_cpu_buffer_type_hbm = { + /* .iface = */ { + /* .alloc_buffer = */ ggml_backend_cpu_hbm_buffer_type_alloc_buffer, + /* .get_alignment = */ ggml_backend_cpu_buffer_type_get_alignment, + /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes + /* .supports_backend = */ ggml_backend_cpu_buffer_type_supports_backend, + /* .is_host = */ ggml_backend_cpu_buffer_type_is_host, + }, + /* .context = */ NULL, + }; - UNUSED(backend); + return &ggml_backend_cpu_buffer_type_hbm; } +#endif -static void ggml_backend_cpu_cpy_tensor_to(ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst) { - ggml_backend_tensor_set(dst, src->data, 0, ggml_nbytes(src)); +struct ggml_backend_cpu_context { + int n_threads; + void * work_data; + size_t work_size; +}; + +static const char * ggml_backend_cpu_name(ggml_backend_t backend) { + return "CPU"; - UNUSED(backend); + GGML_UNUSED(backend); +} + +static void ggml_backend_cpu_free(ggml_backend_t backend) { + struct ggml_backend_cpu_context * cpu_ctx = (struct ggml_backend_cpu_context *)backend->context; + free(cpu_ctx->work_data); + free(cpu_ctx); + free(backend); +} + +static ggml_backend_buffer_type_t ggml_backend_cpu_get_default_buffer_type(ggml_backend_t backend) { + return ggml_backend_cpu_buffer_type(); + + GGML_UNUSED(backend); } struct ggml_backend_plan_cpu { @@ -319,7 +571,7 @@ static ggml_backend_graph_plan_t ggml_backend_cpu_graph_plan_create(ggml_backend struct ggml_backend_plan_cpu * cpu_plan = malloc(sizeof(struct ggml_backend_plan_cpu)); cpu_plan->cplan = ggml_graph_plan(cgraph, cpu_ctx->n_threads); - cpu_plan->cgraph = *cgraph; + cpu_plan->cgraph = *cgraph; // FIXME: deep copy if (cpu_plan->cplan.work_size > 0) { cpu_plan->cplan.work_data = malloc(cpu_plan->cplan.work_size); @@ -334,7 +586,7 @@ static void ggml_backend_cpu_graph_plan_free(ggml_backend_t backend, ggml_backen free(cpu_plan->cplan.work_data); free(cpu_plan); - UNUSED(backend); + GGML_UNUSED(backend); } static void ggml_backend_cpu_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_plan_t plan) { @@ -342,7 +594,7 @@ static void ggml_backend_cpu_graph_plan_compute(ggml_backend_t backend, ggml_bac ggml_graph_compute(&cpu_plan->cgraph, &cpu_plan->cplan); - UNUSED(backend); + GGML_UNUSED(backend); } static void ggml_backend_cpu_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) { @@ -362,26 +614,30 @@ static void ggml_backend_cpu_graph_compute(ggml_backend_t backend, struct ggml_c } static bool ggml_backend_cpu_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) { - return true; - UNUSED(backend); - UNUSED(op); + switch (op->op) { + case GGML_OP_MUL_MAT: + return op->src[1]->type == GGML_TYPE_F32 || op->src[1]->type == ggml_internal_get_type_traits(op->src[0]->type).vec_dot_type; + default: + return true; + } + + GGML_UNUSED(backend); } static struct ggml_backend_i cpu_backend_i = { - /* .get_name = */ ggml_backend_cpu_name, - /* .free = */ ggml_backend_cpu_free, - /* .alloc_buffer = */ ggml_backend_cpu_alloc_buffer, - /* .get_alignment = */ ggml_backend_cpu_get_alignment, - /* .set_tensor_async = */ ggml_backend_cpu_set_tensor_async, - /* .get_tensor_async = */ ggml_backend_cpu_get_tensor_async, - /* .synchronize = */ ggml_backend_cpu_synchronize, - /* .cpy_tensor_from = */ ggml_backend_cpu_cpy_tensor_from, - /* .cpy_tensor_to = */ ggml_backend_cpu_cpy_tensor_to, - /* .graph_plan_create = */ ggml_backend_cpu_graph_plan_create, - /* .graph_plan_free = */ ggml_backend_cpu_graph_plan_free, - /* .graph_plan_compute = */ ggml_backend_cpu_graph_plan_compute, - /* .graph_compute = */ ggml_backend_cpu_graph_compute, - /* .supports_op = */ ggml_backend_cpu_supports_op, + /* .get_name = */ ggml_backend_cpu_name, + /* .free = */ ggml_backend_cpu_free, + /* .get_default_buffer_type = */ ggml_backend_cpu_get_default_buffer_type, + /* .set_tensor_async = */ NULL, + /* .get_tensor_async = */ NULL, + /* .cpy_tensor_from_async = */ NULL, + /* .cpy_tensor_to_async = */ NULL, + /* .synchronize = */ NULL, + /* .graph_plan_create = */ ggml_backend_cpu_graph_plan_create, + /* .graph_plan_free = */ ggml_backend_cpu_graph_plan_free, + /* .graph_plan_compute = */ ggml_backend_cpu_graph_plan_compute, + /* .graph_compute = */ ggml_backend_cpu_graph_compute, + /* .supports_op = */ ggml_backend_cpu_supports_op, }; ggml_backend_t ggml_backend_cpu_init(void) { @@ -411,10 +667,18 @@ void ggml_backend_cpu_set_n_threads(ggml_backend_t backend_cpu, int n_threads) { ctx->n_threads = n_threads; } -ggml_backend_buffer_t ggml_backend_cpu_buffer_from_ptr(ggml_backend_t backend_cpu, void * ptr, size_t size) { - return ggml_backend_buffer_init(backend_cpu, cpu_backend_buffer_i_from_ptr, ptr, size); +ggml_backend_buffer_t ggml_backend_cpu_buffer_from_ptr(void * ptr, size_t size) { + return ggml_backend_buffer_init(ggml_backend_cpu_buffer_type(), cpu_backend_buffer_i_from_ptr, ptr, size); } +static ggml_backend_t ggml_backend_reg_cpu_init(const char * params, void * user_data) { + return ggml_backend_cpu_init(); + + GGML_UNUSED(params); + GGML_UNUSED(user_data); +} + + // scheduler #define GGML_MAX_BACKENDS 4 @@ -427,7 +691,7 @@ struct ggml_backend_sched_split { int i_end; struct ggml_tensor * inputs[GGML_MAX_SPLIT_INPUTS]; int n_inputs; - struct ggml_cgraph * graph; + struct ggml_cgraph graph; }; struct ggml_backend_sched { @@ -453,7 +717,7 @@ struct ggml_backend_sched { #else __attribute__((aligned(GGML_MEM_ALIGN))) #endif - char context_buffer[GGML_MAX_SPLITS*GGML_MAX_SPLIT_INPUTS*sizeof(struct ggml_tensor) + GGML_MAX_SPLITS*sizeof(struct ggml_cgraph)]; + char context_buffer[GGML_MAX_SPLITS*GGML_MAX_SPLIT_INPUTS*sizeof(struct ggml_tensor) + sizeof(struct ggml_cgraph)]; }; #define hash_id(node) ggml_hash_find_or_insert(sched->hash_set, node) @@ -482,23 +746,57 @@ static int sched_allocr_prio(ggml_backend_sched_t sched, ggml_tallocr_t allocr) return INT_MAX; } +static ggml_backend_t get_buffer_backend(ggml_backend_sched_t sched, ggml_backend_buffer_t buffer) { + if (buffer == NULL) { + return NULL; + } + // find highest prio backend that supports the buffer type + for (int i = 0; i < sched->n_backends; i++) { + if (ggml_backend_buft_supports_backend(buffer->buft, sched->backends[i])) { + return sched->backends[i]; + } + } + GGML_ASSERT(false && "tensor buffer type not supported by any backend"); +} + +static ggml_backend_t get_allocr_backend(ggml_backend_sched_t sched, ggml_tallocr_t allocr) { + if (allocr == NULL) { + return NULL; + } + // find highest prio backend that supports the buffer type + for (int i = 0; i < sched->n_backends; i++) { + if (sched->tallocs[i] == allocr) { + return sched->backends[i]; + } + } + GGML_UNREACHABLE(); +} + +#if 0 +static char causes[GGML_DEFAULT_GRAPH_SIZE*8 + GGML_MAX_SPLITS*GGML_MAX_SPLIT_INPUTS][128]; // debug, remove +#define SET_CAUSE(node, ...) sprintf(causes[hash_id(node)], __VA_ARGS__) +#define GET_CAUSE(node) causes[hash_id(node)] +#else +#define SET_CAUSE(node, ...) +#define GET_CAUSE(node) "" +#endif + // returns the backend that should be used for the node based on the current locations -char causes[GGML_DEFAULT_GRAPH_SIZE*4 + GGML_MAX_SPLITS*GGML_MAX_SPLIT_INPUTS][128]; // debug, remove static ggml_backend_t sched_backend_from_cur(ggml_backend_sched_t sched, struct ggml_tensor * node) { // if the dst tensor is already allocated in a buffer, we must assume that it is critical to keep it there // ie. kv cache updates // note that this doesn't allow fallback to CPU. need to add output tensors to the splits to copy the data back to the original backend. // dst - ggml_backend_t cur_backend = ggml_get_backend(node); + ggml_backend_t cur_backend = get_buffer_backend(sched, node->buffer); if (cur_backend != NULL) { - sprintf(causes[hash_id(node)], "1.dst"); + SET_CAUSE(node, "1.dst"); return cur_backend; } // view_src - if (node->view_src != NULL && ggml_get_backend(node->view_src) != NULL) { - sprintf(causes[hash_id(node)], "1.vsrc"); - return ggml_get_backend(node->view_src); + if (node->view_src != NULL && get_buffer_backend(sched, node->view_src->buffer) != NULL) { + SET_CAUSE(node, "1.vsrc"); + return get_buffer_backend(sched, node->view_src->buffer); } // src @@ -510,7 +808,7 @@ static ggml_backend_t sched_backend_from_cur(ggml_backend_sched_t sched, struct if (src == NULL) { break; } - ggml_backend_t src_backend = ggml_get_backend(src); + ggml_backend_t src_backend = get_buffer_backend(sched, src->buffer); if (src_backend != NULL) { int src_prio = sched_backend_prio(sched, src_backend); size_t src_size = ggml_nbytes(src); @@ -518,7 +816,7 @@ static ggml_backend_t sched_backend_from_cur(ggml_backend_sched_t sched, struct cur_prio = src_prio; cur_size = src_size; cur_backend = src_backend; - sprintf(causes[hash_id(node)], "1.src%d", i); + SET_CAUSE(node, "1.src%d", i); } } } @@ -539,10 +837,12 @@ static void sched_print_assignments(ggml_backend_sched_t sched, struct ggml_cgra int cur_split = 0; for (int i = 0; i < graph->n_nodes; i++) { if (cur_split < sched->n_splits && i == sched->splits[cur_split].i_start) { - ggml_backend_t split_backend = ggml_tallocr_get_buffer(sched->splits[cur_split].tallocr)->backend; - fprintf(stderr, "\n## SPLIT #%d: %s # %d inputs: ", cur_split, ggml_backend_name(split_backend), sched->splits[cur_split].n_inputs); + ggml_backend_t split_backend = get_allocr_backend(sched, sched->splits[cur_split].tallocr); + fprintf(stderr, "\n## SPLIT #%d: %s # %d inputs: ", cur_split, ggml_backend_name(split_backend), + sched->splits[cur_split].n_inputs); for (int j = 0; j < sched->splits[cur_split].n_inputs; j++) { - fprintf(stderr, "[%s (%5.5s)] ", sched->splits[cur_split].inputs[j]->name, fmt_size(ggml_nbytes(sched->splits[cur_split].inputs[j]))); + fprintf(stderr, "[%s (%5.5s)] ", sched->splits[cur_split].inputs[j]->name, + fmt_size(ggml_nbytes(sched->splits[cur_split].inputs[j]))); } fprintf(stderr, "\n"); cur_split++; @@ -552,16 +852,18 @@ static void sched_print_assignments(ggml_backend_sched_t sched, struct ggml_cgra continue; } ggml_tallocr_t node_allocr = node_allocr(node); - ggml_backend_t node_backend = node_allocr ? ggml_tallocr_get_buffer(node_allocr)->backend : NULL; - fprintf(stderr, "node #%3d (%10.10s): %20.20s (%4.4s) [%4.4s %8.8s]:", i, ggml_op_name(node->op), node->name, fmt_size(ggml_nbytes(node)), node_allocr ? ggml_backend_name(node_backend) : "NULL", causes[hash_id(node)]); + ggml_backend_t node_backend = node_allocr ? get_allocr_backend(sched, node_allocr) : NULL; // FIXME: + fprintf(stderr, "node #%3d (%10.10s): %20.20s (%4.4s) [%4.4s %8.8s]:", i, ggml_op_name(node->op), node->name, + fmt_size(ggml_nbytes(node)), node_allocr ? ggml_backend_name(node_backend) : "NULL", GET_CAUSE(node)); for (int j = 0; j < GGML_MAX_SRC; j++) { struct ggml_tensor * src = node->src[j]; if (src == NULL) { break; } ggml_tallocr_t src_allocr = node_allocr(src); - ggml_backend_t src_backend = src_allocr ? ggml_tallocr_get_buffer(src_allocr)->backend : NULL; - fprintf(stderr, " %20.20s (%4.4s) [%4.4s %8.8s]", src->name, fmt_size(ggml_nbytes(src)), src_backend ? ggml_backend_name(src_backend) : "NULL", causes[hash_id(src)]); + ggml_backend_t src_backend = src_allocr ? get_allocr_backend(sched, src_allocr) : NULL; + fprintf(stderr, " %20.20s (%4.4s) [%4.4s %8.8s]", src->name, + fmt_size(ggml_nbytes(src)), src_backend ? ggml_backend_name(src_backend) : "NULL", GET_CAUSE(src)); } fprintf(stderr, "\n"); } @@ -587,9 +889,9 @@ static void sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgraph * g sched->n_splits = 0; struct ggml_init_params params = { - /*.mem_size = */ sizeof(sched->context_buffer), - /*.mem_buffer = */ sched->context_buffer, - /*.no_alloc = */ true + /* .mem_size = */ sizeof(sched->context_buffer), + /* .mem_buffer = */ sched->context_buffer, + /* .no_alloc = */ true }; if (sched->ctx != NULL) { @@ -605,9 +907,9 @@ static void sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgraph * g // do not overwrite user assignments continue; } - ggml_backend_t leaf_backend = ggml_get_backend(leaf); + ggml_backend_t leaf_backend = get_buffer_backend(sched, leaf->buffer); if (leaf_backend == NULL && leaf->view_src != NULL) { - leaf_backend = ggml_get_backend(leaf->view_src); + leaf_backend = get_buffer_backend(sched, leaf->view_src->buffer); } if (leaf_backend != NULL) { node_allocr(leaf) = ggml_backend_sched_get_tallocr(sched, leaf_backend); @@ -649,7 +951,7 @@ static void sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgraph * g cur_prio = src_prio; cur_size = src_size; node_allocr = src_allocr; - sprintf(causes[hash_id(node)], "2.src%d", j); + SET_CAUSE(node, "2.src%d", j); } } } @@ -733,7 +1035,7 @@ static void sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgraph * g struct ggml_tensor * tensor_copy = ggml_dup_tensor_layout(sched->ctx, src); sched->node_copies[id][cur_backend_id] = tensor_copy; node_allocr(tensor_copy) = cur_allocr; - ggml_backend_t backend = ggml_tallocr_get_buffer(cur_allocr)->backend; + ggml_backend_t backend = get_allocr_backend(sched, cur_allocr); ggml_format_name(tensor_copy, "%s#%s", ggml_backend_name(backend), src->name); } node->src[j] = sched->node_copies[id][cur_backend_id]; @@ -761,8 +1063,8 @@ static void sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgraph * g ggml_tallocr_t src_allocr = node_allocr(src); if (src_allocr != node_allocr /* && src_backend != NULL */) { // ignore nulls for now fprintf(stderr, "!!!! %s has backend %s, src %d (%s) has backend %s\n", - node->name, node_allocr ? ggml_backend_name(ggml_tallocr_get_buffer(node_allocr)->backend) : "NULL", - j, src->name, src_allocr ? ggml_backend_name(ggml_tallocr_get_buffer(src_allocr)->backend) : "NULL"); + node->name, node_allocr ? ggml_backend_name(get_allocr_backend(sched, node_allocr)) : "NULL", + j, src->name, src_allocr ? ggml_backend_name(get_allocr_backend(sched, src_allocr)) : "NULL"); } } } @@ -773,7 +1075,7 @@ static void sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgraph * g struct ggml_cgraph * graph_copy = ggml_new_graph_custom(sched->ctx, graph->n_nodes + sched->n_splits*GGML_MAX_SPLIT_INPUTS, false); for (int i = 0; i < sched->n_splits; i++) { struct ggml_backend_sched_split * split = &sched->splits[i]; - split->graph = ggml_graph_view(sched->ctx, graph, split->i_start, split->i_end); + split->graph = ggml_graph_view(graph, split->i_start, split->i_end); // add inputs to the graph copy so that they are allocated by ggml-alloc at the start of the split for (int j = 0; j < split->n_inputs; j++) { @@ -806,31 +1108,29 @@ static void sched_compute_splits(ggml_backend_sched_t sched) { for (int i = 0; i < sched->n_splits; i++) { struct ggml_backend_sched_split * split = &splits[i]; - ggml_backend_t split_backend = ggml_tallocr_get_buffer(split->tallocr)->backend; + ggml_backend_t split_backend = get_allocr_backend(sched, split->tallocr); int split_backend_id = sched_backend_prio(sched, split_backend); // copy the input tensors to the split backend uint64_t copy_start_us = ggml_time_us(); for (int j = 0; j < split->n_inputs; j++) { - struct ggml_tensor * input_cpy = sched->node_copies[hash_id(split->inputs[j])][sched_backend_prio(sched, split_backend)]; - if (split->inputs[j]->buffer == NULL) { - if (split->inputs[j]->view_src == NULL) { - fprintf(stderr, "input %s has no buffer and no view_src\n", split->inputs[j]->name); + struct ggml_tensor * input = split->inputs[j]; + struct ggml_tensor * input_cpy = sched->node_copies[hash_id(input)][sched_backend_prio(sched, split_backend)]; + if (input->buffer == NULL) { + if (input->view_src == NULL) { + fprintf(stderr, "input %s has no buffer and no view_src\n", input->name); exit(1); } - struct ggml_tensor * view = split->inputs[j]; - view->backend = view->view_src->backend; - view->buffer = view->view_src->buffer; - view->data = (char *)view->view_src->data + view->view_offs; - ggml_backend_buffer_init_tensor(ggml_backend_sched_get_buffer(sched, view->buffer->backend), view); + // FIXME: may need to use the sched buffer instead + ggml_backend_view_init(input->view_src->buffer, input); } if (input_cpy->buffer == NULL) { fprintf(stderr, "input_cpy %s has no buffer\n", input_cpy->name); exit(1); } - GGML_ASSERT(split->inputs[j]->buffer->backend != input_cpy->buffer->backend); - GGML_ASSERT(input_cpy->buffer->backend == split_backend); - ggml_backend_tensor_copy(split->inputs[j], input_cpy); + //GGML_ASSERT(input->buffer->backend != input_cpy->buffer->backend); + //GGML_ASSERT(input_cpy->buffer->backend == split_backend); + ggml_backend_tensor_copy(input, input_cpy); } // ggml_backend_synchronize(split_backend); int64_t copy_end_us = ggml_time_us(); @@ -843,7 +1143,7 @@ static void sched_compute_splits(ggml_backend_sched_t sched) { #endif uint64_t compute_start_us = ggml_time_us(); - ggml_backend_graph_compute(split_backend, split->graph); + ggml_backend_graph_compute(split_backend, &split->graph); // ggml_backend_synchronize(split_backend); uint64_t compute_end_us = ggml_time_us(); compute_us[split_backend_id] += compute_end_us - compute_start_us; @@ -872,8 +1172,6 @@ ggml_backend_sched_t ggml_backend_sched_new(ggml_backend_t * backends, int n_bac struct ggml_backend_sched * sched = malloc(sizeof(struct ggml_backend_sched)); memset(sched, 0, sizeof(struct ggml_backend_sched)); - fprintf(stderr, "ggml_backend_sched size: %lu KB\n", sizeof(struct ggml_backend_sched)/1024); - sched->n_backends = n_backends; for (int i = 0; i < n_backends; i++) { sched->backends[i] = backends[i]; @@ -948,3 +1246,182 @@ void ggml_backend_sched_set_node_backend(ggml_backend_sched_t sched, struct ggml GGML_ASSERT(backend_index >= 0 && backend_index < sched->n_backends); node_allocr(node) = sched->tallocs[backend_index]; } + +// utils +void ggml_backend_view_init(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor) { + GGML_ASSERT(tensor->buffer == NULL); + //GGML_ASSERT(tensor->data == NULL); // views of pre-allocted tensors may have the data set, but still need to be initialized + GGML_ASSERT(tensor->view_src != NULL); + GGML_ASSERT(tensor->view_src->buffer != NULL); + GGML_ASSERT(tensor->view_src->data != NULL); + + tensor->buffer = buffer; + tensor->data = (char *)tensor->view_src->data + tensor->view_offs; + tensor->backend = tensor->view_src->backend; + ggml_backend_buffer_init_tensor(buffer, tensor); +} + +void ggml_backend_tensor_alloc(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, void * addr) { + GGML_ASSERT(tensor->buffer == NULL); + GGML_ASSERT(tensor->data == NULL); + GGML_ASSERT(tensor->view_src == NULL); + GGML_ASSERT(addr >= ggml_backend_buffer_get_base(buffer)); + GGML_ASSERT((char *)addr + ggml_backend_buffer_get_alloc_size(buffer, tensor) <= + (char *)ggml_backend_buffer_get_base(buffer) + ggml_backend_buffer_get_size(buffer)); + + tensor->buffer = buffer; + tensor->data = addr; + ggml_backend_buffer_init_tensor(buffer, tensor); +} + +static struct ggml_tensor * graph_dup_tensor(struct ggml_hash_set hash_set, struct ggml_tensor ** node_copies, + struct ggml_context * ctx_allocated, struct ggml_context * ctx_unallocated, struct ggml_tensor * src) { + + GGML_ASSERT(src != NULL); + GGML_ASSERT(src->data && "graph must be allocated"); + + size_t id = ggml_hash_insert(hash_set, src); + if (id == GGML_HASHTABLE_ALREADY_EXISTS) { + return node_copies[ggml_hash_find(hash_set, src)]; + } + + struct ggml_tensor * dst = ggml_dup_tensor_layout(src->data && !src->view_src ? ctx_allocated : ctx_unallocated, src); + if (src->view_src != NULL) { + dst->view_src = graph_dup_tensor(hash_set, node_copies, ctx_allocated, ctx_unallocated, src->view_src); + dst->view_offs = src->view_offs; + } + dst->op = src->op; + memcpy(dst->op_params, src->op_params, sizeof(dst->op_params)); + ggml_set_name(dst, src->name); + + // copy src + for (int i = 0; i < GGML_MAX_SRC; i++) { + struct ggml_tensor * s = src->src[i]; + if (s == NULL) { + break; + } + dst->src[i] = graph_dup_tensor(hash_set, node_copies, ctx_allocated, ctx_unallocated, s); + } + + node_copies[id] = dst; + return dst; +} + +static void graph_init_tensor(struct ggml_hash_set hash_set, struct ggml_tensor ** node_copies, bool * node_init, struct ggml_tensor * src) { + size_t id = ggml_hash_find(hash_set, src); + if (node_init[id]) { + return; + } + node_init[id] = true; + + struct ggml_tensor * dst = node_copies[id]; + if (dst->view_src != NULL) { + ggml_backend_view_init(dst->view_src->buffer, dst); + } + else { + ggml_backend_tensor_copy(src, dst); + } + + // init src + for (int i = 0; i < GGML_MAX_SRC; i++) { + struct ggml_tensor * s = src->src[i]; + if (s == NULL) { + break; + } + graph_init_tensor(hash_set, node_copies, node_init, s); + } +} + +struct ggml_backend_graph_copy ggml_backend_graph_copy(ggml_backend_t backend, struct ggml_cgraph * graph) { + struct ggml_hash_set hash_set = { + /* .size = */ graph->visited_hash_table.size, + /* .keys = */ calloc(sizeof(hash_set.keys[0]) * graph->visited_hash_table.size, 1) + }; + struct ggml_tensor ** node_copies = calloc(sizeof(node_copies[0]) * hash_set.size, 1); + bool * node_init = calloc(sizeof(node_init[0]) * hash_set.size, 1); + + struct ggml_init_params params = { + /* .mem_size = */ ggml_tensor_overhead()*hash_set.size + ggml_graph_overhead_custom(graph->size, false), + /* .mem_buffer = */ NULL, + /* .no_alloc = */ true + }; + + struct ggml_context * ctx_allocated = ggml_init(params); + struct ggml_context * ctx_unallocated = ggml_init(params); + + // dup nodes + for (int i = 0; i < graph->n_nodes; i++) { + struct ggml_tensor * node = graph->nodes[i]; + graph_dup_tensor(hash_set, node_copies, ctx_allocated, ctx_unallocated, node); + } + + // allocate nodes + ggml_backend_buffer_t buffer = ggml_backend_alloc_ctx_tensors(ctx_allocated, backend); + + //printf("copy buffer size: %zu MB\n", ggml_backend_buffer_get_size(buffer) / 1024 / 1024); + + // copy data and init views + for (int i = 0; i < graph->n_nodes; i++) { + struct ggml_tensor * node = graph->nodes[i]; + graph_init_tensor(hash_set, node_copies, node_init, node); + } + + // build graph copy + struct ggml_cgraph * graph_copy = ggml_new_graph_custom(ctx_allocated, graph->size, false); + for (int i = 0; i < graph->n_nodes; i++) { + struct ggml_tensor * node = graph->nodes[i]; + struct ggml_tensor * node_copy = node_copies[ggml_hash_find(hash_set, node)]; + graph_copy->nodes[i] = node_copy; + } + graph_copy->n_nodes = graph->n_nodes; + + free(hash_set.keys); + free(node_copies); + free(node_init); + + return (struct ggml_backend_graph_copy) { + /* .buffer = */ buffer, + /* .ctx_allocated = */ ctx_allocated, + /* .ctx_unallocated = */ ctx_unallocated, + /* .graph = */ graph_copy, + }; +} + +void ggml_backend_graph_copy_free(struct ggml_backend_graph_copy copy) { + ggml_backend_buffer_free(copy.buffer); + ggml_free(copy.ctx_allocated); + ggml_free(copy.ctx_unallocated); +} + +void ggml_backend_compare_graph_backend(ggml_backend_t backend1, ggml_backend_t backend2, struct ggml_cgraph * graph, ggml_backend_eval_callback callback, void * user_data) { + struct ggml_backend_graph_copy copy = ggml_backend_graph_copy(backend2, graph); + struct ggml_cgraph * g1 = graph; + struct ggml_cgraph * g2 = copy.graph; + + assert(g1->n_nodes == g2->n_nodes); + + for (int i = 0; i < g1->n_nodes; i++) { + //printf("eval %d/%d\n", i, g1->n_nodes); + struct ggml_tensor * t1 = g1->nodes[i]; + struct ggml_tensor * t2 = g2->nodes[i]; + + assert(t1->op == t2->op && ggml_are_same_layout(t1, t2)); + + struct ggml_cgraph g1v = ggml_graph_view(g1, i, i + 1); + struct ggml_cgraph g2v = ggml_graph_view(g2, i, i + 1); + + ggml_backend_graph_compute(backend1, &g1v); + ggml_backend_graph_compute(backend2, &g2v); + + if (ggml_is_view_op(t1->op)) { + continue; + } + + // compare results, calculate rms etc + if (!callback(i, t1, t2, user_data)) { + break; + } + } + + ggml_backend_graph_copy_free(copy); +} diff --git a/ggml-backend.h b/ggml-backend.h index 966687320ac..a9d2fddd726 100644 --- a/ggml-backend.h +++ b/ggml-backend.h @@ -7,41 +7,47 @@ extern "C" { #endif + typedef struct ggml_backend_buffer_type * ggml_backend_buffer_type_t; + typedef struct ggml_backend_buffer * ggml_backend_buffer_t; + typedef struct ggml_backend * ggml_backend_t; + typedef void * ggml_backend_graph_plan_t; + // // Backend buffer // - struct ggml_backend_buffer; - typedef struct ggml_backend_buffer * ggml_backend_buffer_t; + // buffer type + GGML_API ggml_backend_buffer_t ggml_backend_buft_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size); + GGML_API size_t ggml_backend_buft_get_alignment (ggml_backend_buffer_type_t buft); + GGML_API size_t ggml_backend_buft_get_alloc_size(ggml_backend_buffer_type_t buft, struct ggml_tensor * tensor); + GGML_API bool ggml_backend_buft_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend); + GGML_API bool ggml_backend_buft_is_host (ggml_backend_buffer_type_t buft); - // backend buffer functions + // buffer GGML_API void ggml_backend_buffer_free (ggml_backend_buffer_t buffer); - GGML_API size_t ggml_backend_buffer_get_alignment (ggml_backend_buffer_t buffer); GGML_API void * ggml_backend_buffer_get_base (ggml_backend_buffer_t buffer); GGML_API size_t ggml_backend_buffer_get_size (ggml_backend_buffer_t buffer); - GGML_API size_t ggml_backend_buffer_get_alloc_size(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); GGML_API void ggml_backend_buffer_init_tensor (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); - GGML_API void ggml_backend_buffer_free_tensor (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); + GGML_API size_t ggml_backend_buffer_get_alignment (ggml_backend_buffer_t buffer); + GGML_API size_t ggml_backend_buffer_get_alloc_size(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); + GGML_API void ggml_backend_buffer_clear (ggml_backend_buffer_t buffer, uint8_t value); + GGML_API bool ggml_backend_buffer_is_host (ggml_backend_buffer_t buffer); + GGML_API ggml_backend_buffer_type_t ggml_backend_buffer_type(ggml_backend_buffer_t buffer); // // Backend // - struct ggml_backend; - typedef struct ggml_backend * ggml_backend_t; - typedef void * ggml_backend_graph_plan_t; - - GGML_API ggml_backend_t ggml_get_backend(const struct ggml_tensor * tensor); GGML_API const char * ggml_backend_name(ggml_backend_t backend); GGML_API void ggml_backend_free(ggml_backend_t backend); - GGML_API ggml_backend_buffer_t ggml_backend_alloc_buffer(ggml_backend_t backend, size_t size); + GGML_API ggml_backend_buffer_type_t ggml_backend_get_default_buffer_type(ggml_backend_t backend); + GGML_API ggml_backend_buffer_t ggml_backend_alloc_buffer(ggml_backend_t backend, size_t size); + GGML_API size_t ggml_backend_get_alignment(ggml_backend_t backend); - GGML_API size_t ggml_backend_get_alignment(ggml_backend_t backend); - - GGML_API void ggml_backend_tensor_set_async( struct ggml_tensor * tensor, const void * data, size_t offset, size_t size); - GGML_API void ggml_backend_tensor_get_async(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size); + GGML_API void ggml_backend_tensor_set_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size); + GGML_API void ggml_backend_tensor_get_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size); GGML_API void ggml_backend_tensor_set( struct ggml_tensor * tensor, const void * data, size_t offset, size_t size); GGML_API void ggml_backend_tensor_get(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size); @@ -57,6 +63,7 @@ extern "C" { // tensor copy between different backends GGML_API void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst); + GGML_API void ggml_backend_tensor_copy_async(ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst); // automatic fallback to sync copy // // CPU backend @@ -68,8 +75,27 @@ extern "C" { GGML_API void ggml_backend_cpu_set_n_threads(ggml_backend_t backend_cpu, int n_threads); // Create a backend buffer from an existing pointer - GGML_API ggml_backend_buffer_t ggml_backend_cpu_buffer_from_ptr(ggml_backend_t backend_cpu, void * ptr, size_t size); + GGML_API ggml_backend_buffer_t ggml_backend_cpu_buffer_from_ptr(void * ptr, size_t size); + + GGML_API ggml_backend_buffer_type_t ggml_backend_cpu_buffer_type(void); + +#ifdef GGML_USE_CPU_HBM + GGML_API ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void); +#endif + + // + // Backend registry + // + // The backend registry is a registry of all the available backends, and allows initializing backends in a generic way + + GGML_API size_t ggml_backend_reg_get_count(void); + GGML_API size_t ggml_backend_reg_find_by_name(const char * name); + GGML_API ggml_backend_t ggml_backend_reg_init_backend_from_str(const char * backend_str); // str is name[:params] + GGML_API const char * ggml_backend_reg_get_name(size_t i); + GGML_API ggml_backend_t ggml_backend_reg_init_backend(size_t i, const char * params); // params is backend-specific + GGML_API ggml_backend_buffer_type_t ggml_backend_reg_get_default_buffer_type(size_t i); + GGML_API ggml_backend_buffer_t ggml_backend_reg_alloc_buffer(size_t i, size_t size); // // Backend scheduler @@ -131,6 +157,32 @@ extern "C" { ggml_backend_sched_t sched, struct ggml_cgraph * graph); + + // + // Utils + // + + struct ggml_backend_graph_copy { + ggml_backend_buffer_t buffer; + struct ggml_context * ctx_allocated; + struct ggml_context * ctx_unallocated; + struct ggml_cgraph * graph; + }; + + // Copy a graph to a different backend + GGML_API struct ggml_backend_graph_copy ggml_backend_graph_copy(ggml_backend_t backend, struct ggml_cgraph * graph); + GGML_API void ggml_backend_graph_copy_free(struct ggml_backend_graph_copy copy); + + typedef bool (*ggml_backend_eval_callback)(int node_index, struct ggml_tensor * t1, struct ggml_tensor * t2, void * user_data); + + // Compare the output of two backends + GGML_API void ggml_backend_compare_graph_backend(ggml_backend_t backend1, ggml_backend_t backend2, struct ggml_cgraph * graph, ggml_backend_eval_callback callback, void * user_data); + + // Tensor initialization + GGML_API void ggml_backend_tensor_alloc(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, void * addr); + GGML_API void ggml_backend_view_init(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); + + #ifdef __cplusplus } #endif diff --git a/ggml-cuda.cu b/ggml-cuda.cu index e80b7a761bd..9a9effcf589 100644 --- a/ggml-cuda.cu +++ b/ggml-cuda.cu @@ -1,12 +1,15 @@ #include +#include +#include #include #include #include +#include #include #include #include -#include -#include +#include + #if defined(GGML_USE_HIPBLAS) #include @@ -28,6 +31,7 @@ #define CUDA_R_16F HIPBLAS_R_16F #define CUDA_R_32F HIPBLAS_R_32F #define __shfl_xor_sync(mask, var, laneMask, width) __shfl_xor(var, laneMask, width) +#define cublasComputeType_t hipblasDatatype_t //deprecated, new hipblasComputeType_t not in 5.6 #define cublasCreate hipblasCreate #define cublasGemmEx hipblasGemmEx #define cublasGemmBatchedEx hipblasGemmBatchedEx @@ -37,6 +41,7 @@ #define cublasSetStream hipblasSetStream #define cublasSgemm hipblasSgemm #define cublasStatus_t hipblasStatus_t +#define cudaDataType_t hipblasDatatype_t //deprecated, new hipblasDatatype not in 5.6 #define cudaDeviceCanAccessPeer hipDeviceCanAccessPeer #define cudaDeviceDisablePeerAccess hipDeviceDisablePeerAccess #define cudaDeviceEnablePeerAccess hipDeviceEnablePeerAccess @@ -55,11 +60,17 @@ #define cudaGetDeviceProperties hipGetDeviceProperties #define cudaGetErrorString hipGetErrorString #define cudaGetLastError hipGetLastError +#ifdef GGML_HIP_UMA +#define cudaMalloc hipMallocManaged +#define cudaMallocHost(ptr, size) hipHostMalloc(ptr, size) +#else #define cudaMalloc hipMalloc #define cudaMallocHost(ptr, size) hipHostMalloc(ptr, size, hipHostMallocDefault) +#endif #define cudaMemcpy hipMemcpy -#define cudaMemcpy2DAsync hipMemcpy2DAsync #define cudaMemcpyAsync hipMemcpyAsync +#define cudaMemcpyPeerAsync hipMemcpyPeerAsync +#define cudaMemcpy2DAsync hipMemcpy2DAsync #define cudaMemcpyDeviceToDevice hipMemcpyDeviceToDevice #define cudaMemcpyDeviceToHost hipMemcpyDeviceToHost #define cudaMemcpyHostToDevice hipMemcpyHostToDevice @@ -69,15 +80,36 @@ #define cudaOccupancyMaxPotentialBlockSize hipOccupancyMaxPotentialBlockSize #define cudaSetDevice hipSetDevice #define cudaStreamCreateWithFlags hipStreamCreateWithFlags +#define cudaStreamFireAndForget hipStreamFireAndForget #define cudaStreamNonBlocking hipStreamNonBlocking #define cudaStreamSynchronize hipStreamSynchronize #define cudaStreamWaitEvent(stream, event, flags) hipStreamWaitEvent(stream, event, flags) #define cudaStream_t hipStream_t #define cudaSuccess hipSuccess +#define __trap abort +#define CUBLAS_STATUS_SUCCESS HIPBLAS_STATUS_SUCCESS +#define CUBLAS_STATUS_NOT_INITIALIZED HIPBLAS_STATUS_NOT_INITIALIZED +#define CUBLAS_STATUS_ALLOC_FAILED HIPBLAS_STATUS_ALLOC_FAILED +#define CUBLAS_STATUS_INVALID_VALUE HIPBLAS_STATUS_INVALID_VALUE +#define CUBLAS_STATUS_ARCH_MISMATCH HIPBLAS_STATUS_ARCH_MISMATCH +#define CUBLAS_STATUS_MAPPING_ERROR HIPBLAS_STATUS_MAPPING_ERROR +#define CUBLAS_STATUS_EXECUTION_FAILED HIPBLAS_STATUS_EXECUTION_FAILED +#define CUBLAS_STATUS_INTERNAL_ERROR HIPBLAS_STATUS_INTERNAL_ERROR +#define CUBLAS_STATUS_NOT_SUPPORTED HIPBLAS_STATUS_NOT_SUPPORTED #else #include +#include #include #include + +#if CUDART_VERSION < 11020 +#define CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED CU_DEVICE_ATTRIBUTE_VIRTUAL_ADDRESS_MANAGEMENT_SUPPORTED +#define CUBLAS_TF32_TENSOR_OP_MATH CUBLAS_TENSOR_OP_MATH +#define CUBLAS_COMPUTE_16F CUDA_R_16F +#define CUBLAS_COMPUTE_32F CUDA_R_32F +#define cublasComputeType_t cudaDataType_t +#endif // CUDART_VERSION < 11020 + #endif // defined(GGML_USE_HIPBLAS) #include "ggml-cuda.h" @@ -132,7 +164,7 @@ static __device__ __forceinline__ int __vsubss4(const int a, const int b) { const int8x4_t vb = reinterpret_cast(b); #if __has_builtin(__builtin_elementwise_sub_sat) const int8x4_t c = __builtin_elementwise_sub_sat(va, vb); - return reinterpret_cast(c); + return reinterpret_cast(c); #else int8x4_t c; int16_t tmp; @@ -143,7 +175,7 @@ static __device__ __forceinline__ int __vsubss4(const int a, const int b) { if(tmp < std::numeric_limits::min()) tmp = std::numeric_limits::min(); c[i] = tmp; } - return reinterpret_cast(c); + return reinterpret_cast(c); #endif // __has_builtin(__builtin_elementwise_sub_sat) } @@ -181,45 +213,59 @@ static __device__ __forceinline__ int __dp4a(const int a, const int b, int c) { static_assert(sizeof(half) == sizeof(ggml_fp16_t), "wrong fp16 size"); -#define CUDA_CHECK(err) \ - do { \ - cudaError_t err_ = (err); \ - if (err_ != cudaSuccess) { \ - int id; \ - cudaGetDevice(&id); \ - fprintf(stderr, "\nCUDA error %d at %s:%d: %s\n", err_, __FILE__, __LINE__, \ - cudaGetErrorString(err_)); \ - fprintf(stderr, "current device: %d\n", id); \ - exit(1); \ - } \ +[[noreturn]] +static void ggml_cuda_error(const char * stmt, const char * func, const char * file, const int line, const char * msg) { + int id = -1; // in case cudaGetDevice fails + cudaGetDevice(&id); + + fprintf(stderr, "CUDA error: %s\n", msg); + fprintf(stderr, " current device: %d, in function %s at %s:%d\n", id, func, file, line); + fprintf(stderr, " %s\n", stmt); + // abort with GGML_ASSERT to get a stack trace + GGML_ASSERT(!"CUDA error"); +} + +#define CUDA_CHECK_GEN(err, success, error_fn) \ + do { \ + auto err_ = (err); \ + if (err_ != (success)) { \ + ggml_cuda_error(#err, __func__, __FILE__, __LINE__, error_fn(err_)); \ + } \ } while (0) +#define CUDA_CHECK(err) CUDA_CHECK_GEN(err, cudaSuccess, cudaGetErrorString) + #if CUDART_VERSION >= 12000 -#define CUBLAS_CHECK(err) \ - do { \ - cublasStatus_t err_ = (err); \ - if (err_ != CUBLAS_STATUS_SUCCESS) { \ - int id; \ - cudaGetDevice(&id); \ - fprintf(stderr, "\ncuBLAS error %d at %s:%d: %s\n", \ - err_, __FILE__, __LINE__, cublasGetStatusString(err_)); \ - fprintf(stderr, "current device: %d\n", id); \ - exit(1); \ - } \ - } while (0) + static const char * cublas_get_error_str(const cublasStatus_t err) { + return cublasGetStatusString(err); + } #else -#define CUBLAS_CHECK(err) \ - do { \ - cublasStatus_t err_ = (err); \ - if (err_ != CUBLAS_STATUS_SUCCESS) { \ - int id; \ - cudaGetDevice(&id); \ - fprintf(stderr, "\ncuBLAS error %d at %s:%d\n", err_, __FILE__, __LINE__); \ - fprintf(stderr, "current device: %d\n", id); \ - exit(1); \ - } \ - } while (0) -#endif // CUDART_VERSION >= 11 + static const char * cublas_get_error_str(const cublasStatus_t err) { + switch (err) { + case CUBLAS_STATUS_SUCCESS: return "CUBLAS_STATUS_SUCCESS"; + case CUBLAS_STATUS_NOT_INITIALIZED: return "CUBLAS_STATUS_NOT_INITIALIZED"; + case CUBLAS_STATUS_ALLOC_FAILED: return "CUBLAS_STATUS_ALLOC_FAILED"; + case CUBLAS_STATUS_INVALID_VALUE: return "CUBLAS_STATUS_INVALID_VALUE"; + case CUBLAS_STATUS_ARCH_MISMATCH: return "CUBLAS_STATUS_ARCH_MISMATCH"; + case CUBLAS_STATUS_MAPPING_ERROR: return "CUBLAS_STATUS_MAPPING_ERROR"; + case CUBLAS_STATUS_EXECUTION_FAILED: return "CUBLAS_STATUS_EXECUTION_FAILED"; + case CUBLAS_STATUS_INTERNAL_ERROR: return "CUBLAS_STATUS_INTERNAL_ERROR"; + case CUBLAS_STATUS_NOT_SUPPORTED: return "CUBLAS_STATUS_NOT_SUPPORTED"; + default: return "unknown error"; + } + } +#endif // CUDART_VERSION >= 12000 + +#define CUBLAS_CHECK(err) CUDA_CHECK_GEN(err, CUBLAS_STATUS_SUCCESS, cublas_get_error_str) + +#if !defined(GGML_USE_HIPBLAS) +static const char * cu_get_error_str(CUresult err) { + const char * err_str; + cuGetErrorString(err, &err_str); + return err_str; +} +#define CU_CHECK(err) CUDA_CHECK_GEN(err, CUDA_SUCCESS, cu_get_error_str) +#endif #if CUDART_VERSION >= 11100 #define GGML_CUDA_ASSUME(x) __builtin_assume(x) @@ -275,10 +321,10 @@ typedef void (*ggml_cuda_func_t)(const ggml_tensor * src0, const ggml_tensor * s typedef void (*ggml_cuda_op_mul_mat_t)( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const char * src0_dd_i, const float * src1_ddf_i, const char * src1_ddq_i, float * dst_dd_i, const int64_t row_low, const int64_t row_high, const int64_t src1_ncols, - const int64_t src1_padded_row_size, const cudaStream_t & stream); + const int64_t src1_padded_row_size, cudaStream_t stream); typedef void (*ggml_cuda_op_flatten_t)( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream); + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream); // QK = number of values after dequantization // QR = QK / number of values before dequantization @@ -433,21 +479,26 @@ static_assert(sizeof(block_q6_K) == sizeof(ggml_fp16_t) + 13*QK_K/16, "wrong q6_ #define WARP_SIZE 32 #define MATRIX_ROW_PADDING 512 // last row of quant. matrices is a multiple of this to avoid out-of-bounds memory accesses -#define CUDA_ADD_BLOCK_SIZE 256 -#define CUDA_MUL_BLOCK_SIZE 256 #define CUDA_GELU_BLOCK_SIZE 256 #define CUDA_SILU_BLOCK_SIZE 256 +#define CUDA_TANH_BLOCK_SIZE 256 #define CUDA_RELU_BLOCK_SIZE 256 #define CUDA_SQR_BLOCK_SIZE 256 #define CUDA_CPY_BLOCK_SIZE 32 #define CUDA_SCALE_BLOCK_SIZE 256 #define CUDA_CLAMP_BLOCK_SIZE 256 #define CUDA_ROPE_BLOCK_SIZE 256 +#define CUDA_SOFT_MAX_BLOCK_SIZE 1024 #define CUDA_ALIBI_BLOCK_SIZE 32 #define CUDA_DIAG_MASK_INF_BLOCK_SIZE 32 #define CUDA_QUANTIZE_BLOCK_SIZE 256 #define CUDA_DEQUANTIZE_BLOCK_SIZE 256 #define CUDA_GET_ROWS_BLOCK_SIZE 256 +#define CUDA_UPSCALE_BLOCK_SIZE 256 +#define CUDA_CONCAT_BLOCK_SIZE 256 +#define CUDA_PAD_BLOCK_SIZE 256 +#define CUDA_ACC_BLOCK_SIZE 256 +#define CUDA_IM2COL_BLOCK_SIZE 256 // dmmv = dequantize_mul_mat_vec #ifndef GGML_CUDA_DMMV_X @@ -479,62 +530,168 @@ struct ggml_tensor_extra_gpu { // this is faster on Windows // probably because the Windows CUDA libraries forget to make this check before invoking the drivers -inline cudaError_t ggml_cuda_set_device(const int device) { +static void ggml_cuda_set_device(const int device) { int current_device; CUDA_CHECK(cudaGetDevice(¤t_device)); if (device == current_device) { - return cudaSuccess; + return; } - return cudaSetDevice(device); + CUDA_CHECK(cudaSetDevice(device)); } static int g_device_count = -1; static int g_main_device = 0; -static int g_compute_capabilities[GGML_CUDA_MAX_DEVICES]; static float g_tensor_split[GGML_CUDA_MAX_DEVICES] = {0}; +struct cuda_device_capabilities { + int cc; // compute capability + bool vmm; // virtual memory support + size_t vmm_granularity; // granularity of virtual memory +}; + +static cuda_device_capabilities g_device_caps[GGML_CUDA_MAX_DEVICES] = { {0, false, 0} }; + static void * g_scratch_buffer = nullptr; static size_t g_scratch_size = 0; // disabled by default static size_t g_scratch_offset = 0; static cublasHandle_t g_cublas_handles[GGML_CUDA_MAX_DEVICES] = {nullptr}; -static __global__ void add_f32(const float * x, const float * y, float * dst, const int kx, const int ky) { - const int i = blockDim.x*blockIdx.x + threadIdx.x; +[[noreturn]] +static __device__ void bad_arch() { + printf("ERROR: ggml-cuda was compiled without support for the current GPU architecture.\n"); + __trap(); - if (i >= kx) { - return; + (void) bad_arch; // suppress unused function warning +} + +static __device__ __forceinline__ float warp_reduce_sum(float x) { +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + x += __shfl_xor_sync(0xffffffff, x, mask, 32); } - dst[i] = x[i] + y[i%ky]; + return x; } -static __global__ void add_f16_f32_f16(const half * x, const float * y, half * dst, const int k) { - const int i = blockDim.x*blockIdx.x + threadIdx.x; +static __device__ __forceinline__ float2 warp_reduce_sum(float2 a) { +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + a.x += __shfl_xor_sync(0xffffffff, a.x, mask, 32); + a.y += __shfl_xor_sync(0xffffffff, a.y, mask, 32); + } + return a; +} - if (i >= k) { - return; +static __device__ __forceinline__ float warp_reduce_max(float x) { +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + x = fmaxf(x, __shfl_xor_sync(0xffffffff, x, mask, 32)); } - dst[i] = __hadd(x[i], __float2half(y[i])); + return x; } -static __global__ void add_f16_f32_f32(const half * x, const float * y, float * dst, const int k) { - const int i = blockDim.x*blockIdx.x + threadIdx.x; +static __device__ __forceinline__ float op_repeat(const float a, const float b) { + return b; + GGML_UNUSED(a); +} - if (i >= k) { +static __device__ __forceinline__ float op_add(const float a, const float b) { + return a + b; +} + +static __device__ __forceinline__ float op_mul(const float a, const float b) { + return a * b; +} + +static __device__ __forceinline__ float op_div(const float a, const float b) { + return a / b; +} + +template +static __global__ void k_bin_bcast(const src0_t * src0, const src1_t * src1, dst_t * dst, + int ne0, int ne1, int ne2, int ne3, + int ne10, int ne11, int ne12, int ne13, + /*int s0, */ int s1, int s2, int s3, + /*int s10,*/ int s11, int s12, int s13) { + const int i0s = blockDim.x*blockIdx.x + threadIdx.x; + const int i1 = (blockDim.y*blockIdx.y + threadIdx.y); + const int i2 = (blockDim.z*blockIdx.z + threadIdx.z) / ne3; + const int i3 = (blockDim.z*blockIdx.z + threadIdx.z) % ne3; + + if (i0s >= ne0 || i1 >= ne1 || i2 >= ne2 || i3 >= ne3) { return; } - dst[i] = __half2float(x[i]) + y[i]; + + const int i11 = i1 % ne11; + const int i12 = i2 % ne12; + const int i13 = i3 % ne13; + + const size_t i_src0 = i3*s3 + i2*s2 + i1*s1; + const size_t i_src1 = i13*s13 + i12*s12 + i11*s11; + const size_t i_dst = i_src0; + + const src0_t * src0_row = src0 + i_src0; + const src1_t * src1_row = src1 + i_src1; + dst_t * dst_row = dst + i_dst; + + for (int i0 = i0s; i0 < ne0; i0 += blockDim.x*gridDim.x) { + const int i10 = i0 % ne10; + dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0] : 0.0f, (float)src1_row[i10]); + } } -static __global__ void mul_f32(const float * x, const float * y, float * dst, const int kx, const int ky) { +template +static __global__ void k_bin_bcast_unravel(const src0_t * src0, const src1_t * src1, dst_t * dst, + int ne0, int ne1, int ne2, int ne3, + int ne10, int ne11, int ne12, int ne13, + /*int s0, */ int s1, int s2, int s3, + /*int s10,*/ int s11, int s12, int s13) { + const int i = blockDim.x*blockIdx.x + threadIdx.x; - if (i >= kx) { + const int i3 = i/(ne2*ne1*ne0); + const int i2 = (i/(ne1*ne0)) % ne2; + const int i1 = (i/ne0) % ne1; + const int i0 = i % ne0; + + if (i0 >= ne0 || i1 >= ne1 || i2 >= ne2 || i3 >= ne3) { + return; + } + + const int i11 = i1 % ne11; + const int i12 = i2 % ne12; + const int i13 = i3 % ne13; + + const size_t i_src0 = i3*s3 + i2*s2 + i1*s1; + const size_t i_src1 = i13*s13 + i12*s12 + i11*s11; + const size_t i_dst = i_src0; + + const src0_t * src0_row = src0 + i_src0; + const src1_t * src1_row = src1 + i_src1; + dst_t * dst_row = dst + i_dst; + + const int i10 = i0 % ne10; + dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0] : 0.0f, (float)src1_row[i10]); +} + +static __global__ void acc_f32(const float * x, const float * y, float * dst, const int ne, + const int ne10, const int ne11, const int ne12, + const int nb1, const int nb2, int offset) { + const int i = blockDim.x * blockIdx.x + threadIdx.x; + if (i >= ne) { return; } - dst[i] = x[i] * y[i%ky]; + int src1_idx = i - offset; + int oz = src1_idx / nb2; + int oy = (src1_idx - (oz * nb2)) / nb1; + int ox = src1_idx % nb1; + if (src1_idx >= 0 && ox < ne10 && oy < ne11 && oz < ne12) { + dst[i] = x[i] + y[ox + oy * ne10 + oz * ne10 * ne11]; + } else { + dst[i] = x[i]; + } } static __global__ void gelu_f32(const float * x, float * dst, const int k) { @@ -559,6 +716,23 @@ static __global__ void silu_f32(const float * x, float * dst, const int k) { dst[i] = x[i] / (1.0f + expf(-x[i])); } +static __global__ void gelu_quick_f32(const float * x, float * dst, int k) { + const float GELU_QUICK_COEF = -1.702f; + const int i = blockDim.x*blockIdx.x + threadIdx.x; + if (i >= k) { + return; + } + dst[i] = x[i] * (1.0f / (1.0f + expf(GELU_QUICK_COEF * x[i]))); +} + +static __global__ void tanh_f32(const float * x, float * dst, int k) { + const int i = blockDim.x*blockIdx.x + threadIdx.x; + if (i >= k) { + return; + } + dst[i] = tanhf(x[i]); +} + static __global__ void relu_f32(const float * x, float * dst, const int k) { const int i = blockDim.x*blockIdx.x + threadIdx.x; @@ -568,6 +742,14 @@ static __global__ void relu_f32(const float * x, float * dst, const int k) { dst[i] = fmaxf(x[i], 0); } +static __global__ void leaky_relu_f32(const float * x, float * dst, const int k, const float negative_slope) { + const int i = blockDim.x*blockIdx.x + threadIdx.x; + if (i >= k) { + return; + } + dst[i] = fmaxf(x[i], 0) + fminf(x[i], 0.0f) * negative_slope; +} + static __global__ void sqr_f32(const float * x, float * dst, const int k) { const int i = blockDim.x*blockIdx.x + threadIdx.x; @@ -577,22 +759,11 @@ static __global__ void sqr_f32(const float * x, float * dst, const int k) { dst[i] = x[i] * x[i]; } -static __device__ __forceinline__ float2 warp_reduce_sum(float2 a) { -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - a.x += __shfl_xor_sync(0xffffffff, a.x, mask, 32); - a.y += __shfl_xor_sync(0xffffffff, a.y, mask, 32); - } - return a; -} - template -static __global__ void norm_f32(const float * x, float * dst, const int ncols) { +static __global__ void norm_f32(const float * x, float * dst, const int ncols, const float eps) { const int row = blockIdx.x*blockDim.y + threadIdx.y; const int tid = threadIdx.x; - const float eps = 1e-5f; - float2 mean_var = make_float2(0.f, 0.f); for (int col = tid; col < ncols; col += block_size) { @@ -624,12 +795,130 @@ static __global__ void norm_f32(const float * x, float * dst, const int ncols) { } } -static __device__ __forceinline__ float warp_reduce_sum(float x) { -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - x += __shfl_xor_sync(0xffffffff, x, mask, 32); +static __global__ void concat_f32(const float * x,const float * y, float * dst, const int ne0, const int ne02) { + int nidx = threadIdx.x + blockIdx.x * blockDim.x; + if (nidx >= ne0) { + return; + } + // operation + int offset_dst = + nidx + + blockIdx.y * ne0 + + blockIdx.z * ne0 * gridDim.y; + if (blockIdx.z < ne02) { // src0 + int offset_src = + nidx + + blockIdx.y * ne0 + + blockIdx.z * ne0 * gridDim.y; + dst[offset_dst] = x[offset_src]; + } else { + int offset_src = + nidx + + blockIdx.y * ne0 + + (blockIdx.z - ne02) * ne0 * gridDim.y; + dst[offset_dst] = y[offset_src]; + } +} + +static __global__ void upscale_f32(const float * x, float * dst, const int ne00, const int nb02, const int scale_factor) { + int ne0 = ne00 * scale_factor; + int nidx = threadIdx.x + blockIdx.x * blockDim.x; + if (nidx >= ne0) { + return; + } + // operation + int i00 = nidx / scale_factor; + int i01 = blockIdx.y / scale_factor; + int offset_src = + i00 + + i01 * ne00 + + blockIdx.z * nb02; + int offset_dst = + nidx + + blockIdx.y * ne0 + + blockIdx.z * ne0 * gridDim.y; + dst[offset_dst] = x[offset_src]; +} + +static __global__ void pad_f32(const float * x, float * dst, const int ne0, const int ne00, const int ne01, const int ne02) { + int nidx = threadIdx.x + blockIdx.x * blockDim.x; + if (nidx >= ne0) { + return; + } + + // operation + int offset_dst = + nidx + + blockIdx.y * ne0 + + blockIdx.z * ne0 * gridDim.y; + if (nidx < ne00 && blockIdx.y < ne01 && blockIdx.z < ne02) { + int offset_src = + nidx + + blockIdx.y * ne00 + + blockIdx.z * ne00 * ne01; + dst[offset_dst] = x[offset_src]; + } else { + dst[offset_dst] = 0.0f; + } +} + +template +static __global__ void group_norm_f32(const float * x, float * dst, const int group_size, const int ne_elements, const float eps) { + int start = blockIdx.x * group_size; + int end = start + group_size; + + start += threadIdx.x; + + if (end >= ne_elements) { + end = ne_elements; + } + + float tmp = 0.0f; // partial sum for thread in warp + + for (int j = start; j < end; j += block_size) { + tmp += x[j]; + } + + tmp = warp_reduce_sum(tmp); + if (block_size > WARP_SIZE) { + __shared__ float s_sum[32]; + int warp_id = threadIdx.x / WARP_SIZE; + int lane_id = threadIdx.x % WARP_SIZE; + if (lane_id == 0) { + s_sum[warp_id] = tmp; + } + __syncthreads(); + tmp = s_sum[lane_id]; + tmp = warp_reduce_sum(tmp); + } + + float mean = tmp / group_size; + tmp = 0.0f; + + for (int j = start; j < end; j += block_size) { + float xi = x[j] - mean; + dst[j] = xi; + tmp += xi * xi; + } + + tmp = warp_reduce_sum(tmp); + if (block_size > WARP_SIZE) { + __shared__ float s_sum[32]; + int warp_id = threadIdx.x / WARP_SIZE; + int lane_id = threadIdx.x % WARP_SIZE; + if (lane_id == 0) { + s_sum[warp_id] = tmp; + } + __syncthreads(); + tmp = s_sum[lane_id]; + tmp = warp_reduce_sum(tmp); + } + + float variance = tmp / group_size; + float scale = rsqrtf(variance + eps); + for (int j = start; j < end; j += block_size) { + dst[j] *= scale; } - return x; } template @@ -1630,31 +1919,65 @@ static __global__ void quantize_q8_1(const float * __restrict__ x, void * __rest } template -static __global__ void k_get_rows(const void * x, const int32_t * y, dst_t * dst, const int ncols) { - const int col = (blockIdx.x*blockDim.x + threadIdx.x)*2; - const int row = blockDim.y*blockIdx.y + threadIdx.y; - - if (col >= ncols) { +static __global__ void k_get_rows( + const void * src0, const int32_t * src1, dst_t * dst, + int64_t ne00, /*int64_t ne01, int64_t ne02, int64_t ne03,*/ + /*int64_t ne10, int64_t ne11,*/ int64_t ne12, /*int64_t ne13,*/ + /*size_t s0,*/ size_t s1, size_t s2, size_t s3, + /*size_t nb00,*/ size_t nb01, size_t nb02, size_t nb03, + size_t s10, size_t s11, size_t s12/*, size_t s13*/) { + + const int i00 = (blockIdx.x*blockDim.x + threadIdx.x)*2; + const int i10 = blockDim.y*blockIdx.y + threadIdx.y; + const int i11 = (blockIdx.z*blockDim.z + threadIdx.z)/ne12; + const int i12 = (blockIdx.z*blockDim.z + threadIdx.z)%ne12; + + if (i00 >= ne00) { return; } - const int r = y[row]; + const int i01 = src1[i10*s10 + i11*s11 + i12*s12]; - // copy x[r*ncols + col] to dst[row*ncols + col] - const int xi = r*ncols + col; - const int di = row*ncols + col; + dst_t * dst_row = dst + i10*s1 + i11*s2 + i12*s3; + const void * src0_row = (const char *)src0 + i01*nb01 + i11*nb02 + i12*nb03; - const int ib = xi/qk; // block index - const int iqs = (xi%qk)/qr; // quant index - const int iybs = di - di%qk; // y block start index + const int ib = i00/qk; // block index + const int iqs = (i00%qk)/qr; // quant index + const int iybs = i00 - i00%qk; // dst block start index const int y_offset = qr == 1 ? 1 : qk/2; // dequantize dfloat2 v; - dequantize_kernel(x, ib, iqs, v); + dequantize_kernel(src0_row, ib, iqs, v); + + dst_row[iybs + iqs + 0] = v.x; + dst_row[iybs + iqs + y_offset] = v.y; +} + +template +static __global__ void k_get_rows_float( + const src0_t * src0, const int32_t * src1, dst_t * dst, + int64_t ne00, /*int64_t ne01, int64_t ne02, int64_t ne03,*/ + /*int64_t ne10, int64_t ne11,*/ int64_t ne12, /*int64_t ne13,*/ + /*size_t s0,*/ size_t s1, size_t s2, size_t s3, + /*size_t nb00,*/ size_t nb01, size_t nb02, size_t nb03, + size_t s10, size_t s11, size_t s12/*, size_t s13*/) { + + const int i00 = blockIdx.x*blockDim.x + threadIdx.x; + const int i10 = blockDim.y*blockIdx.y + threadIdx.y; + const int i11 = (blockIdx.z*blockDim.z + threadIdx.z)/ne12; + const int i12 = (blockIdx.z*blockDim.z + threadIdx.z)%ne12; + + if (i00 >= ne00) { + return; + } + + const int i01 = src1[i10*s10 + i11*s11 + i12*s12]; - dst[iybs + iqs + 0] = v.x; - dst[iybs + iqs + y_offset] = v.y; + dst_t * dst_row = dst + i10*s1 + i11*s2 + i12*s3; + const src0_t * src0_row = (const src0_t *)((const char *)src0 + i01*nb01 + i11*nb02 + i12*nb03); + + dst_row[i00] = src0_row[i00]; } template @@ -1705,8 +2028,7 @@ template static __device__ __forceinline__ float vec_dot_q4_0_q8_1_imp // second part effectively subtracts 8 from each quant value return d4 * (sumi * ds8f.x - (8*vdr/QI4_0) * ds8f.y); #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -1743,8 +2065,7 @@ template static __device__ __forceinline__ float vec_dot_q4_1_q8_1_imp // scale second part of sum by QI8_1/(vdr * QR4_1) to compensate for multiple threads adding it return sumi * d4d8 + m4s8 / (QI8_1 / (vdr * QR4_1)); #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -1779,8 +2100,7 @@ template static __device__ __forceinline__ float vec_dot_q5_0_q8_1_imp // second part effectively subtracts 16 from each quant value return d5 * (sumi * ds8f.x - (16*vdr/QI5_0) * ds8f.y); #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -1825,8 +2145,7 @@ template static __device__ __forceinline__ float vec_dot_q5_1_q8_1_imp return sumi*d5d8 + m5s8 / (QI5_1 / vdr); #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -1847,8 +2166,7 @@ template static __device__ __forceinline__ float vec_dot_q8_0_q8_1_imp return d8_0*d8_1 * sumi; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -1878,8 +2196,7 @@ template static __device__ __forceinline__ float vec_dot_q8_1_q8_1_imp // scale second part of sum by QI8_1/ vdr to compensate for multiple threads adding it return sumi*d8d8 + m8s8 / (QI8_1 / vdr); #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -1914,8 +2231,7 @@ static __device__ __forceinline__ float vec_dot_q2_K_q8_1_impl_mmvq( return dm2f.x*sumf_d - dm2f.y*sumf_m; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -1952,8 +2268,7 @@ static __device__ __forceinline__ float vec_dot_q2_K_q8_1_impl_mmq( return d8 * (dm2f.x*sumi_d - dm2f.y*sumi_m); #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -1993,8 +2308,7 @@ static __device__ __forceinline__ float vec_dot_q3_K_q8_1_impl_mmvq( return d3 * sumf; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -2019,8 +2333,7 @@ static __device__ __forceinline__ float vec_dot_q3_K_q8_1_impl_mmq( return d3*d8 * sumi; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -2053,8 +2366,7 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1_impl_vmmq( return dm4f.x*sumf_d - dm4f.y*sumf_m; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -2087,8 +2399,7 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1_impl_mmq( return dm4f.x*sumf_d - dm4f.y*sumf_m; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -2128,8 +2439,7 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1_impl_vmmq( return dm5f.x*sumf_d - dm5f.y*sumf_m; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -2162,8 +2472,7 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1_impl_mmq( return dm4f.x*sumf_d - dm4f.y*sumf_m; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -2193,8 +2502,7 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1_impl_mmvq( return d*sumf; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -2225,8 +2533,7 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1_impl_mmq( return d6 * sumf_d; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A } @@ -3092,8 +3399,7 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1( return dall * sumf_d - dmin * sumf_m; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A #endif @@ -3276,8 +3582,7 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1( return d * sumf_d; #else - assert(false); - return 0.0f; // only to satisfy the compiler + bad_arch(); #endif // __CUDA_ARCH__ >= MIN_CC_DP4A #endif @@ -3687,7 +3992,7 @@ template static __global__ void (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q4_0_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -3756,7 +4061,7 @@ template static __global__ void (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q4_1_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -3823,7 +4128,7 @@ template static __global__ void (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q5_0_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -3890,7 +4195,7 @@ mul_mat_q5_1( (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q5_1_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -3957,7 +4262,7 @@ template static __global__ void (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q8_0_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -4024,7 +4329,7 @@ mul_mat_q2_K( (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q2_K_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -4093,7 +4398,7 @@ template static __global__ void (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q3_K_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -4162,7 +4467,7 @@ template static __global__ void (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q4_K_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -4229,7 +4534,7 @@ mul_mat_q5_K( (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q5_K_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -4298,7 +4603,7 @@ template static __global__ void (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst); #else (void) vec_dot_q6_K_q8_1_mul_mat; - assert(false); + bad_arch(); #endif // __CUDA_ARCH__ >= CC_VOLTA } @@ -4437,7 +4742,6 @@ static __global__ void mul_mat_p021_f16_f32( const int row_y = col_x; - // y is not transposed but permuted const int iy = channel*nrows_y + row_y; @@ -4550,6 +4854,116 @@ static __global__ void cpy_f32_f16(const char * cx, char * cdst, const int ne, cpy_1(cx + x_offset, cdst + dst_offset); } +static __device__ void cpy_blck_f32_q8_0(const char * cxi, char * cdsti) { + const float * xi = (const float *) cxi; + block_q8_0 * dsti = (block_q8_0 *) cdsti; + + float amax = 0.0f; // absolute max + + for (int j = 0; j < QK8_0; j++) { + const float v = xi[j]; + amax = fmaxf(amax, fabsf(v)); + } + + const float d = amax / ((1 << 7) - 1); + const float id = d ? 1.0f/d : 0.0f; + + dsti->d = d; + + for (int j = 0; j < QK8_0; ++j) { + const float x0 = xi[j]*id; + + dsti->qs[j] = roundf(x0); + } +} + +static __device__ void cpy_blck_f32_q4_0(const char * cxi, char * cdsti) { + const float * xi = (const float *) cxi; + block_q4_0 * dsti = (block_q4_0 *) cdsti; + + float amax = 0.0f; + float vmax = 0.0f; + + for (int j = 0; j < QK4_0; ++j) { + const float v = xi[j]; + if (amax < fabsf(v)) { + amax = fabsf(v); + vmax = v; + } + } + + const float d = vmax / -8; + const float id = d ? 1.0f/d : 0.0f; + + dsti->d = d; + + for (int j = 0; j < QK4_0/2; ++j) { + const float x0 = xi[0 + j]*id; + const float x1 = xi[QK4_0/2 + j]*id; + + const uint8_t xi0 = min(15, (int8_t)(x0 + 8.5f)); + const uint8_t xi1 = min(15, (int8_t)(x1 + 8.5f)); + + dsti->qs[j] = xi0; + dsti->qs[j] |= xi1 << 4; + } +} + +static __device__ void cpy_blck_f32_q4_1(const char * cxi, char * cdsti) { + const float * xi = (const float *) cxi; + block_q4_1 * dsti = (block_q4_1 *) cdsti; + + float vmin = FLT_MAX; + float vmax = -FLT_MAX; + + for (int j = 0; j < QK4_1; ++j) { + const float v = xi[j]; + + if (v < vmin) vmin = v; + if (v > vmax) vmax = v; + } + + const float d = (vmax - vmin) / ((1 << 4) - 1); + const float id = d ? 1.0f/d : 0.0f; + + dsti->dm.x = d; + dsti->dm.y = vmin; + + for (int j = 0; j < QK4_1/2; ++j) { + const float x0 = (xi[0 + j] - vmin)*id; + const float x1 = (xi[QK4_1/2 + j] - vmin)*id; + + const uint8_t xi0 = min(15, (int8_t)(x0 + 0.5f)); + const uint8_t xi1 = min(15, (int8_t)(x1 + 0.5f)); + + dsti->qs[j] = xi0; + dsti->qs[j] |= xi1 << 4; + } +} + +template +static __global__ void cpy_f32_q(const char * cx, char * cdst, const int ne, + const int ne00, const int ne01, const int nb00, const int nb01, const int nb02, + const int ne10, const int ne11, const int nb10, const int nb11, const int nb12) { + const int i = (blockDim.x*blockIdx.x + threadIdx.x)*qk; + + if (i >= ne) { + return; + } + + const int i02 = i / (ne00*ne01); + const int i01 = (i - i02*ne01*ne00) / ne00; + const int i00 = (i - i02*ne01*ne00 - i01*ne00); + const int x_offset = i00*nb00 + i01*nb01 + i02*nb02; + + const int i12 = i / (ne10*ne11); + const int i11 = (i - i12*ne10*ne11) / ne10; + const int i10 = (i - i12*ne10*ne11 - i11*ne10)/qk; + const int dst_offset = i10*nb10 + i11*nb11 + i12*nb12; + + cpy_blck(cx + x_offset, cdst + dst_offset); +} + static __device__ float rope_yarn_ramp(const float low, const float high, const int i0) { const float y = (i0 / 2 - low) / max(0.001f, high - low); return 1.0f - min(1.0f, max(0.0f, y)); @@ -4610,8 +5024,8 @@ static __global__ void rope( template static __global__ void rope_neox( - const T * x, T * dst, int ncols, const int32_t * pos, float freq_scale, int p_delta_rows, float freq_base, - float ext_factor, float attn_factor, rope_corr_dims corr_dims + const T * x, T * dst, int ncols, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows, + float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, float inv_ndims ) { const int col = 2*(blockDim.y*blockIdx.y + threadIdx.y); @@ -4620,23 +5034,34 @@ static __global__ void rope_neox( } const int row = blockDim.x*blockIdx.x + threadIdx.x; - const int i = row*ncols + col/2; + const int ib = col / n_dims; + const int ic = col % n_dims; + + if (ib > 0) { + const int i = row*ncols + ib*n_dims + ic; + + dst[i + 0] = x[i + 0]; + dst[i + 1] = x[i + 1]; + + return; + } + + const int i = row*ncols + ib*n_dims + ic/2; const int i2 = row/p_delta_rows; - // simplified from `(ib * ncols + col) * (-1 / ncols)`, where ib is assumed to be zero - const float cur_rot = -float(col)/ncols; + float cur_rot = inv_ndims * ic - ib; const int p = has_pos ? pos[i2] : 0; - const float theta_base = p*powf(freq_base, cur_rot); + const float theta_base = p*freq_scale*powf(theta_scale, col/2.0f); float cos_theta, sin_theta; rope_yarn(theta_base, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor, &cos_theta, &sin_theta); const float x0 = x[i + 0]; - const float x1 = x[i + ncols/2]; + const float x1 = x[i + n_dims/2]; - dst[i + 0] = x0*cos_theta - x1*sin_theta; - dst[i + ncols/2] = x0*sin_theta + x1*cos_theta; + dst[i + 0] = x0*cos_theta - x1*sin_theta; + dst[i + n_dims/2] = x0*sin_theta + x1*cos_theta; } static __global__ void rope_glm_f32( @@ -4702,58 +5127,147 @@ static __global__ void alibi_f32(const float * x, float * dst, const int ncols, dst[i] = col * m_k + x[i]; } -static __global__ void diag_mask_inf_f32(const float * x, float * dst, const int ncols, const int rows_per_channel, const int n_past) { - const int col = blockDim.y*blockIdx.y + threadIdx.y; - const int row = blockDim.x*blockIdx.x + threadIdx.x; +static __global__ void k_sum_rows_f32(const float * x, float * dst, const int ncols) { + const int row = blockIdx.y; + const int col = threadIdx.x; - if (col >= ncols) { - return; + float sum = 0.0f; + for (int i = col; i < ncols; i += blockDim.x) { + sum += x[row * ncols + i]; } - const int i = row*ncols + col; - // dst[i] = col > n_past + row ? -INFINITY : x[i]; - dst[i] = x[i] - (col > n_past + row % rows_per_channel) * INT_MAX; // equivalent within rounding error but slightly faster on GPU + sum = warp_reduce_sum(sum); + + if (col == 0) { + dst[row] = sum; + } } -// the CUDA soft max implementation differs from the CPU implementation -// instead of doubles floats are used -static __global__ void soft_max_f32(const float * x, float * dst, const int ncols) { - const int row = blockDim.x*blockIdx.x + threadIdx.x; - const int block_size = blockDim.y; - const int tid = threadIdx.y; +template +static inline __device__ void swap(T & a, T & b) { + T tmp = a; + a = b; + b = tmp; +} - float max_val = -INFINITY; +template +static __global__ void k_argsort_f32_i32(const float * x, int * dst, const int ncols) { + // bitonic sort + int col = threadIdx.x; + int row = blockIdx.y; - for (int col = tid; col < ncols; col += block_size) { - const int i = row*ncols + col; - max_val = max(max_val, x[i]); - } + if (col >= ncols) return; - // find the max value in the block -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - max_val = max(max_val, __shfl_xor_sync(0xffffffff, max_val, mask, 32)); + const float * x_row = x + row * ncols; + int * dst_row = dst + row * ncols; + + // initialize indices + if (col < ncols) { + dst_row[col] = col; + } + __syncthreads(); + + for (int k = 2; k <= ncols; k *= 2) { + for (int j = k / 2; j > 0; j /= 2) { + int ixj = col ^ j; + if (ixj > col) { + if ((col & k) == 0) { + if (order == GGML_SORT_ASC ? x_row[dst_row[col]] > x_row[dst_row[ixj]] : x_row[dst_row[col]] < x_row[dst_row[ixj]]) { + swap(dst_row[col], dst_row[ixj]); + } + } else { + if (order == GGML_SORT_ASC ? x_row[dst_row[col]] < x_row[dst_row[ixj]] : x_row[dst_row[col]] > x_row[dst_row[ixj]]) { + swap(dst_row[col], dst_row[ixj]); + } + } + } + __syncthreads(); + } + } +} + +static __global__ void diag_mask_inf_f32(const float * x, float * dst, const int ncols, const int rows_per_channel, const int n_past) { + const int col = blockDim.y*blockIdx.y + threadIdx.y; + const int row = blockDim.x*blockIdx.x + threadIdx.x; + + if (col >= ncols) { + return; + } + + const int i = row*ncols + col; + //dst[i] = col > (n_past + row % rows_per_channel) ? -INFINITY : x[i]; + //dst[i] = x[i] - (col > n_past + row % rows_per_channel) * INT_MAX; // equivalent within rounding error but slightly faster on GPU + dst[i] = x[i] - (col > n_past + row % rows_per_channel) * FLT_MAX; +} + +static __global__ void soft_max_f32(const float * x, const float * y, float * dst, const int ncols, const int nrows_y, const float scale) { + const int tid = threadIdx.x; + const int rowx = blockIdx.x; + const int rowy = rowx % nrows_y; // broadcast the mask (y) in the row dimension + + const int block_size = blockDim.x; + + const int warp_id = threadIdx.x / WARP_SIZE; + const int lane_id = threadIdx.x % WARP_SIZE; + + __shared__ float buf[CUDA_SOFT_MAX_BLOCK_SIZE/WARP_SIZE]; + + float max_val = -INFINITY; + + for (int col = tid; col < ncols; col += block_size) { + const int ix = rowx*ncols + col; + const int iy = rowy*ncols + col; + max_val = max(max_val, x[ix]*scale + (y ? y[iy] : 0.0f)); + } + + // find the max value in the block + max_val = warp_reduce_max(max_val); + if (block_size > WARP_SIZE) { + if (warp_id == 0) { + buf[lane_id] = -INFINITY; + } + __syncthreads(); + + if (lane_id == 0) { + buf[warp_id] = max_val; + } + __syncthreads(); + + max_val = buf[lane_id]; + max_val = warp_reduce_max(max_val); } float tmp = 0.f; for (int col = tid; col < ncols; col += block_size) { - const int i = row*ncols + col; - const float val = expf(x[i] - max_val); + const int ix = rowx*ncols + col; + const int iy = rowy*ncols + col; + const float val = expf((x[ix]*scale + (y ? y[iy] : 0.0f)) - max_val); tmp += val; - dst[i] = val; + dst[ix] = val; } - // sum up partial sums -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += __shfl_xor_sync(0xffffffff, tmp, mask, 32); + // find the sum of exps in the block + tmp = warp_reduce_sum(tmp); + if (block_size > WARP_SIZE) { + if (warp_id == 0) { + buf[lane_id] = 0.f; + } + __syncthreads(); + + if (lane_id == 0) { + buf[warp_id] = tmp; + } + __syncthreads(); + + tmp = buf[lane_id]; + tmp = warp_reduce_sum(tmp); } const float inv_tmp = 1.f / tmp; for (int col = tid; col < ncols; col += block_size) { - const int i = row*ncols + col; + const int i = rowx*ncols + col; dst[i] *= inv_tmp; } } @@ -4780,49 +5294,220 @@ static __global__ void clamp_f32(const float * x, float * dst, const float min, static __global__ void im2col_f32_f16( const float * x, half * dst, - int ofs0, int ofs1, int IW, int IH, int CHW, + int offset_delta, int IW, int IH, int OW, int KW, int KH, int pelements, int CHW, int s0, int s1, int p0, int p1, int d0, int d1) { - const int iiw = blockIdx.z * s0 + threadIdx.z * d0 - p0; - const int iih = blockIdx.y * s1 + threadIdx.y * d1 - p1; + const int i = threadIdx.x + blockIdx.x * blockDim.x; + if (i >= pelements) { + return; + } + + const int ksize = OW * (KH > 1 ? KW : 1); + const int kx = i / ksize; + const int kd = kx * ksize; + const int ky = (i - kd) / OW; + const int ix = i % OW; - const int offset_dst = - (threadIdx.x * gridDim.y * gridDim.z + blockIdx.y * gridDim.z + blockIdx.z) * CHW + - (blockIdx.x * (blockDim.y * blockDim.z) + threadIdx.y * blockDim.z + threadIdx.z); + const int64_t iiw = ix * s0 + kx * d0 - p0; + const int64_t iih = blockIdx.y * s1 + ky * d1 - p1; + + const int64_t offset_dst = + (blockIdx.y * OW + ix) * CHW + + (blockIdx.z * (KW * KH) + ky * KW + kx); if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) { dst[offset_dst] = __float2half(0.0f); } else { - const int offset_src = threadIdx.x * ofs0 + blockIdx.x * ofs1; + const int64_t offset_src = blockIdx.z * offset_delta; dst[offset_dst] = __float2half(x[offset_src + iih * IW + iiw]); } } template -static void get_rows_cuda(const void * x, const int32_t * y, float * dst, const int nrows, const int ncols, cudaStream_t stream) { +static void get_rows_cuda(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const void * src0_dd, const int32_t * src1_dd, float * dst_dd, cudaStream_t stream) { + + GGML_TENSOR_BINARY_OP_LOCALS + const dim3 block_dims(CUDA_GET_ROWS_BLOCK_SIZE, 1, 1); - const int block_num_x = (ncols + 2*CUDA_GET_ROWS_BLOCK_SIZE - 1) / (2*CUDA_GET_ROWS_BLOCK_SIZE); - const dim3 block_nums(block_num_x, nrows, 1); - k_get_rows<<>>(x, y, dst, ncols); -} + const int block_num_x = (ne00 + 2*CUDA_GET_ROWS_BLOCK_SIZE - 1) / (2*CUDA_GET_ROWS_BLOCK_SIZE); + const dim3 block_nums(block_num_x, ne10, ne11*ne12); + + // strides in elements + //const size_t s0 = nb0 / ggml_element_size(dst); + const size_t s1 = nb1 / ggml_element_size(dst); + const size_t s2 = nb2 / ggml_element_size(dst); + const size_t s3 = nb3 / ggml_element_size(dst); + + const size_t s10 = nb10 / ggml_element_size(src1); + const size_t s11 = nb11 / ggml_element_size(src1); + const size_t s12 = nb12 / ggml_element_size(src1); + //const size_t s13 = nb13 / ggml_element_size(src1); + + GGML_ASSERT(ne00 % 2 == 0); + + k_get_rows<<>>( + src0_dd, src1_dd, dst_dd, + ne00, /*ne01, ne02, ne03,*/ + /*ne10, ne11,*/ ne12, /*ne13,*/ + /* s0,*/ s1, s2, s3, + /* nb00,*/ nb01, nb02, nb03, + s10, s11, s12/*, s13*/); -static void add_f32_cuda(const float * x, const float * y, float * dst, const int kx, const int ky, cudaStream_t stream) { - const int num_blocks = (kx + CUDA_ADD_BLOCK_SIZE - 1) / CUDA_ADD_BLOCK_SIZE; - add_f32<<>>(x, y, dst, kx, ky); + (void) dst; } -static void add_f16_f32_f16_cuda(const half * x, const float * y, half * dst, const int k, cudaStream_t stream) { - const int num_blocks = (k + CUDA_ADD_BLOCK_SIZE - 1) / CUDA_ADD_BLOCK_SIZE; - add_f16_f32_f16<<>>(x, y, dst, k); -} +template +static void get_rows_cuda_float(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const src0_t * src0_dd, const int32_t * src1_dd, float * dst_dd, cudaStream_t stream) { -static void add_f16_f32_f32_cuda(const half * x, const float * y, float * dst, const int k, cudaStream_t stream) { - const int num_blocks = (k + CUDA_ADD_BLOCK_SIZE - 1) / CUDA_ADD_BLOCK_SIZE; - add_f16_f32_f32<<>>(x, y, dst, k); + GGML_TENSOR_BINARY_OP_LOCALS + + const dim3 block_dims(CUDA_GET_ROWS_BLOCK_SIZE, 1, 1); + const int block_num_x = (ne00 + CUDA_GET_ROWS_BLOCK_SIZE - 1) / CUDA_GET_ROWS_BLOCK_SIZE; + const dim3 block_nums(block_num_x, ne10, ne11*ne12); + + // strides in elements + //const size_t s0 = nb0 / ggml_element_size(dst); + const size_t s1 = nb1 / ggml_element_size(dst); + const size_t s2 = nb2 / ggml_element_size(dst); + const size_t s3 = nb3 / ggml_element_size(dst); + + const size_t s10 = nb10 / ggml_element_size(src1); + const size_t s11 = nb11 / ggml_element_size(src1); + const size_t s12 = nb12 / ggml_element_size(src1); + //const size_t s13 = nb13 / ggml_element_size(src1); + + k_get_rows_float<<>>( + src0_dd, src1_dd, dst_dd, + ne00, /*ne01, ne02, ne03,*/ + /*ne10, ne11,*/ ne12, /*ne13,*/ + /* s0,*/ s1, s2, s3, + /* nb00,*/ nb01, nb02, nb03, + s10, s11, s12/*, s13*/); + + (void) dst; } -static void mul_f32_cuda(const float * x, const float * y, float * dst, const int kx, const int ky, cudaStream_t stream) { - const int num_blocks = (kx + CUDA_MUL_BLOCK_SIZE - 1) / CUDA_MUL_BLOCK_SIZE; - mul_f32<<>>(x, y, dst, kx, ky); +template +struct bin_bcast_cuda { + template + void operator()(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, + const src0_t * src0_dd, const src1_t * src1_dd, dst_t * dst_dd, + cudaStream_t stream) { + + GGML_TENSOR_BINARY_OP_LOCALS + + int nr0 = ne10/ne0; + int nr1 = ne11/ne1; + int nr2 = ne12/ne2; + int nr3 = ne13/ne3; + + int nr[4] = { nr0, nr1, nr2, nr3 }; + + // collapse dimensions until first broadcast dimension + int64_t cne0[] = {ne0, ne1, ne2, ne3}; + int64_t cne1[] = {ne10, ne11, ne12, ne13}; + size_t cnb0[] = {nb0, nb1, nb2, nb3}; + size_t cnb1[] = {nb10, nb11, nb12, nb13}; + auto collapse = [](int64_t cne[]) { + cne[0] *= cne[1]; + cne[1] = cne[2]; + cne[2] = cne[3]; + cne[3] = 1; + }; + + auto collapse_nb = [](size_t cnb[], const int64_t cne[]) { + cnb[1] *= cne[1]; + cnb[2] *= cne[2]; + cnb[3] *= cne[3]; + }; + + for (int i = 0; i < 4; i++) { + if (nr[i] != 1) { + break; + } + if (i > 0) { + collapse_nb(cnb0, cne0); + collapse_nb(cnb1, cne1); + collapse(cne0); + collapse(cne1); + } + } + { + int64_t ne0 = cne0[0]; + int64_t ne1 = cne0[1]; + int64_t ne2 = cne0[2]; + int64_t ne3 = cne0[3]; + + int64_t ne10 = cne1[0]; + int64_t ne11 = cne1[1]; + int64_t ne12 = cne1[2]; + int64_t ne13 = cne1[3]; + + size_t nb0 = cnb0[0]; + size_t nb1 = cnb0[1]; + size_t nb2 = cnb0[2]; + size_t nb3 = cnb0[3]; + + size_t nb10 = cnb1[0]; + size_t nb11 = cnb1[1]; + size_t nb12 = cnb1[2]; + size_t nb13 = cnb1[3]; + + size_t s0 = nb0 / sizeof(dst_t); + size_t s1 = nb1 / sizeof(dst_t); + size_t s2 = nb2 / sizeof(dst_t); + size_t s3 = nb3 / sizeof(dst_t); + + size_t s10 = nb10 / sizeof(src1_t); + size_t s11 = nb11 / sizeof(src1_t); + size_t s12 = nb12 / sizeof(src1_t); + size_t s13 = nb13 / sizeof(src1_t); + + GGML_ASSERT(s0 == 1); + GGML_ASSERT(s10 == 1); + + const int block_size = 128; + + int64_t hne0 = std::max(ne0/2LL, 1LL); + + dim3 block_dims; + block_dims.x = std::min(hne0, block_size); + block_dims.y = std::min(ne1, block_size / block_dims.x); + block_dims.z = std::min(std::min(ne2*ne3, block_size / block_dims.x / block_dims.y), 64U); + + dim3 block_nums( + (hne0 + block_dims.x - 1) / block_dims.x, + (ne1 + block_dims.y - 1) / block_dims.y, + (ne2*ne3 + block_dims.z - 1) / block_dims.z + ); + + if (block_nums.z > 65535) { + // this is the maximum number of blocks in z direction, fallback to 1D grid kernel + int block_num = (ne0*ne1*ne2*ne3 + block_size - 1) / block_size; + k_bin_bcast_unravel<<>>( + src0_dd, src1_dd, dst_dd, + ne0, ne1, ne2, ne3, + ne10, ne11, ne12, ne13, + /* s0, */ s1, s2, s3, + /* s10, */ s11, s12, s13); + } else { + k_bin_bcast<<>>( + src0_dd, src1_dd, dst_dd, + ne0, ne1, ne2, ne3, + ne10, ne11, ne12, ne13, + /* s0, */ s1, s2, s3, + /* s10, */ s11, s12, s13); + } + } + } +}; + +static void acc_f32_cuda(const float * x, const float * y, float * dst, const int n_elements, + const int ne10, const int ne11, const int ne12, + const int nb1, const int nb2, const int offset, cudaStream_t stream) { + int num_blocks = (n_elements + CUDA_ACC_BLOCK_SIZE - 1) / CUDA_ACC_BLOCK_SIZE; + acc_f32<<>>(x, y, dst, n_elements, ne10, ne11, ne12, nb1, nb2, offset); } static void gelu_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) { @@ -4835,27 +5520,74 @@ static void silu_f32_cuda(const float * x, float * dst, const int k, cudaStream_ silu_f32<<>>(x, dst, k); } +static void gelu_quick_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) { + const int num_blocks = (k + CUDA_GELU_BLOCK_SIZE - 1) / CUDA_GELU_BLOCK_SIZE; + gelu_quick_f32<<>>(x, dst, k); +} + +static void tanh_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) { + const int num_blocks = (k + CUDA_TANH_BLOCK_SIZE - 1) / CUDA_TANH_BLOCK_SIZE; + tanh_f32<<>>(x, dst, k); +} + static void relu_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) { const int num_blocks = (k + CUDA_RELU_BLOCK_SIZE - 1) / CUDA_RELU_BLOCK_SIZE; relu_f32<<>>(x, dst, k); } +static void leaky_relu_f32_cuda(const float * x, float * dst, const int k, const float negative_slope, cudaStream_t stream) { + const int num_blocks = (k + CUDA_RELU_BLOCK_SIZE - 1) / CUDA_RELU_BLOCK_SIZE; + leaky_relu_f32<<>>(x, dst, k, negative_slope); +} + static void sqr_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) { const int num_blocks = (k + CUDA_SQR_BLOCK_SIZE - 1) / CUDA_SQR_BLOCK_SIZE; sqr_f32<<>>(x, dst, k); } -static void norm_f32_cuda(const float * x, float * dst, const int ncols, const int nrows, cudaStream_t stream) { +static void norm_f32_cuda(const float * x, float * dst, const int ncols, const int nrows, const float eps, cudaStream_t stream) { GGML_ASSERT(ncols % WARP_SIZE == 0); if (ncols < 1024) { const dim3 block_dims(WARP_SIZE, 1, 1); - norm_f32<<>>(x, dst, ncols); + norm_f32<<>>(x, dst, ncols, eps); + } else { + const dim3 block_dims(1024, 1, 1); + norm_f32<1024><<>>(x, dst, ncols, eps); + } +} + +static void group_norm_f32_cuda(const float * x, float * dst, const int num_groups, const int group_size, const int ne_elements, cudaStream_t stream) { + static const float eps = 1e-6f; + if (group_size < 1024) { + const dim3 block_dims(WARP_SIZE, 1, 1); + group_norm_f32<<>>(x, dst, group_size, ne_elements, eps); } else { const dim3 block_dims(1024, 1, 1); - norm_f32<1024><<>>(x, dst, ncols); + group_norm_f32<1024><<>>(x, dst, group_size, ne_elements, eps); } } +static void concat_f32_cuda(const float * x, const float * y, float * dst, const int ne0, int ne1, int ne2, int ne02, cudaStream_t stream) { + int num_blocks = (ne0 + CUDA_CONCAT_BLOCK_SIZE - 1) / CUDA_CONCAT_BLOCK_SIZE; + dim3 gridDim(num_blocks, ne1, ne2); + concat_f32<<>>(x, y, dst, ne0, ne02); +} + +static void upscale_f32_cuda(const float * x, float * dst, const int ne00, const int ne01, const int ne02, const int scale_factor, cudaStream_t stream) { + int ne0 = (ne00 * scale_factor); + int num_blocks = (ne0 + CUDA_UPSCALE_BLOCK_SIZE - 1) / CUDA_UPSCALE_BLOCK_SIZE; + dim3 gridDim(num_blocks, (ne01 * scale_factor), ne02); + upscale_f32<<>>(x, dst, ne00, ne00 * ne01, scale_factor); +} + +static void pad_f32_cuda(const float * x, float * dst, + const int ne00, const int ne01, const int ne02, + const int ne0, const int ne1, const int ne2, cudaStream_t stream) { + int num_blocks = (ne0 + CUDA_PAD_BLOCK_SIZE - 1) / CUDA_PAD_BLOCK_SIZE; + dim3 gridDim(num_blocks, ne1, ne2); + pad_f32<<>>(x, dst, ne0, ne00, ne01, ne02); +} + static void rms_norm_f32_cuda(const float * x, float * dst, const int ncols, const int nrows, const float eps, cudaStream_t stream) { GGML_ASSERT(ncols % WARP_SIZE == 0); if (ncols < 1024) { @@ -4874,34 +5606,10 @@ static void quantize_row_q8_1_cuda(const float * x, void * vy, const int kx, con quantize_q8_1<<>>(x, vy, kx, kx_padded); } -template -static void dequantize_row_q4_0_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) { - const int num_blocks = (k + CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / CUDA_DEQUANTIZE_BLOCK_SIZE; - dequantize_block<<>>(vx, y, k); -} - -template -static void dequantize_row_q4_1_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) { - const int num_blocks = (k + CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / CUDA_DEQUANTIZE_BLOCK_SIZE; - dequantize_block<<>>(vx, y, k); -} - -template -static void dequantize_row_q5_0_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) { - const int num_blocks = (k + CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / CUDA_DEQUANTIZE_BLOCK_SIZE; - dequantize_block<<>>(vx, y, k); -} - -template -static void dequantize_row_q5_1_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) { - const int num_blocks = (k + CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / CUDA_DEQUANTIZE_BLOCK_SIZE; - dequantize_block<<>>(vx, y, k); -} - -template -static void dequantize_row_q8_0_cuda(const void * vx, dst_t * y, const int k, cudaStream_t stream) { +template +static void dequantize_block_cuda(const void * __restrict__ vx, dst_t * __restrict__ y, const int k, cudaStream_t stream) { const int num_blocks = (k + CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / CUDA_DEQUANTIZE_BLOCK_SIZE; - dequantize_block<<>>(vx, y, k); + dequantize_block<<>>(vx, y, k); } template @@ -4950,6 +5658,64 @@ static void dequantize_row_q6_K_cuda(const void * vx, dst_t * y, const int k, cu #endif } +static to_fp16_cuda_t ggml_get_to_fp16_cuda(ggml_type type) { + switch (type) { + case GGML_TYPE_Q4_0: + return dequantize_block_cuda; + case GGML_TYPE_Q4_1: + return dequantize_block_cuda; + case GGML_TYPE_Q5_0: + return dequantize_block_cuda; + case GGML_TYPE_Q5_1: + return dequantize_block_cuda; + case GGML_TYPE_Q8_0: + return dequantize_block_cuda; + case GGML_TYPE_Q2_K: + return dequantize_row_q2_K_cuda; + case GGML_TYPE_Q3_K: + return dequantize_row_q3_K_cuda; + case GGML_TYPE_Q4_K: + return dequantize_row_q4_K_cuda; + case GGML_TYPE_Q5_K: + return dequantize_row_q5_K_cuda; + case GGML_TYPE_Q6_K: + return dequantize_row_q6_K_cuda; + case GGML_TYPE_F32: + return dequantize_block_cuda<1, 1, convert_f32>; + default: + return nullptr; + } +} + +static to_fp32_cuda_t ggml_get_to_fp32_cuda(ggml_type type) { + switch (type) { + case GGML_TYPE_Q4_0: + return dequantize_block_cuda; + case GGML_TYPE_Q4_1: + return dequantize_block_cuda; + case GGML_TYPE_Q5_0: + return dequantize_block_cuda; + case GGML_TYPE_Q5_1: + return dequantize_block_cuda; + case GGML_TYPE_Q8_0: + return dequantize_block_cuda; + case GGML_TYPE_Q2_K: + return dequantize_row_q2_K_cuda; + case GGML_TYPE_Q3_K: + return dequantize_row_q3_K_cuda; + case GGML_TYPE_Q4_K: + return dequantize_row_q4_K_cuda; + case GGML_TYPE_Q5_K: + return dequantize_row_q5_K_cuda; + case GGML_TYPE_Q6_K: + return dequantize_row_q6_K_cuda; + case GGML_TYPE_F16: + return dequantize_block_cuda<1, 1, convert_f16>; + default: + return nullptr; + } +} + static void dequantize_mul_mat_vec_q4_0_cuda(const void * vx, const dfloat * y, float * dst, const int ncols, const int nrows, cudaStream_t stream) { GGML_ASSERT(ncols % GGML_CUDA_DMMV_X == 0); const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y; @@ -5038,6 +5804,15 @@ static void dequantize_mul_mat_vec_q6_K_cuda(const void * vx, const float * y, f dequantize_mul_mat_vec_q6_k<<>>(vx, y, dst, ncols, nrows); } +static void convert_mul_mat_vec_f16_cuda(const void * vx, const dfloat * y, float * dst, const int ncols, const int nrows, cudaStream_t stream) { + GGML_ASSERT(ncols % GGML_CUDA_DMMV_X == 0); + const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y; + const dim3 block_nums(block_num_y, 1, 1); + const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1); + dequantize_mul_mat_vec<1, 1, convert_f16> + <<>>(vx, y, dst, ncols, nrows); +} + static void mul_mat_vec_q4_0_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) { GGML_ASSERT(ncols % QK4_0 == 0); const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y; @@ -5128,90 +5903,13 @@ static void mul_mat_vec_q6_K_q8_1_cuda(const void * vx, const void * vy, float * <<>>(vx, vy, dst, ncols, nrows); } -static void convert_fp16_to_fp32_cuda(const void * vx, float * y, const int k, cudaStream_t stream) { - const int num_blocks = (k + CUDA_DEQUANTIZE_BLOCK_SIZE - 1) / CUDA_DEQUANTIZE_BLOCK_SIZE; - dequantize_block<1, 1, convert_f16><<>>(vx, y, k); -} - -static void convert_fp32_to_fp16_cuda(const void * vx, half * y, const int k, cudaStream_t stream) { - const int num_blocks = (k + CUDA_QUANTIZE_BLOCK_SIZE - 1) / CUDA_QUANTIZE_BLOCK_SIZE; - dequantize_block<1, 1, convert_f32><<>>(vx, y, k); -} - -static void convert_mul_mat_vec_f16_cuda(const void * vx, const dfloat * y, float * dst, const int ncols, const int nrows, cudaStream_t stream) { - GGML_ASSERT(ncols % GGML_CUDA_DMMV_X == 0); - const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y; - const dim3 block_nums(block_num_y, 1, 1); - const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1); - dequantize_mul_mat_vec<1, 1, convert_f16> - <<>>(vx, y, dst, ncols, nrows); -} - -static to_fp16_cuda_t ggml_get_to_fp16_cuda(ggml_type type) { - switch (type) { - case GGML_TYPE_Q4_0: - return dequantize_row_q4_0_cuda; - case GGML_TYPE_Q4_1: - return dequantize_row_q4_1_cuda; - case GGML_TYPE_Q5_0: - return dequantize_row_q5_0_cuda; - case GGML_TYPE_Q5_1: - return dequantize_row_q5_1_cuda; - case GGML_TYPE_Q8_0: - return dequantize_row_q8_0_cuda; - case GGML_TYPE_Q2_K: - return dequantize_row_q2_K_cuda; - case GGML_TYPE_Q3_K: - return dequantize_row_q3_K_cuda; - case GGML_TYPE_Q4_K: - return dequantize_row_q4_K_cuda; - case GGML_TYPE_Q5_K: - return dequantize_row_q5_K_cuda; - case GGML_TYPE_Q6_K: - return dequantize_row_q6_K_cuda; - case GGML_TYPE_F32: - return convert_fp32_to_fp16_cuda; - default: - return nullptr; - } -} - -static to_fp32_cuda_t ggml_get_to_fp32_cuda(ggml_type type) { - switch (type) { - case GGML_TYPE_Q4_0: - return dequantize_row_q4_0_cuda; - case GGML_TYPE_Q4_1: - return dequantize_row_q4_1_cuda; - case GGML_TYPE_Q5_0: - return dequantize_row_q5_0_cuda; - case GGML_TYPE_Q5_1: - return dequantize_row_q5_1_cuda; - case GGML_TYPE_Q8_0: - return dequantize_row_q8_0_cuda; - case GGML_TYPE_Q2_K: - return dequantize_row_q2_K_cuda; - case GGML_TYPE_Q3_K: - return dequantize_row_q3_K_cuda; - case GGML_TYPE_Q4_K: - return dequantize_row_q4_K_cuda; - case GGML_TYPE_Q5_K: - return dequantize_row_q5_K_cuda; - case GGML_TYPE_Q6_K: - return dequantize_row_q6_K_cuda; - case GGML_TYPE_F16: - return convert_fp16_to_fp32_cuda; - default: - return nullptr; - } -} - static void ggml_mul_mat_q4_0_q8_1_cuda( const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) { int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5256,7 +5954,7 @@ static void ggml_mul_mat_q4_1_q8_1_cuda( int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5301,7 +5999,7 @@ static void ggml_mul_mat_q5_0_q8_1_cuda( int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5346,7 +6044,7 @@ static void ggml_mul_mat_q5_1_q8_1_cuda( int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5391,7 +6089,7 @@ static void ggml_mul_mat_q8_0_q8_1_cuda( int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5436,7 +6134,7 @@ static void ggml_mul_mat_q2_K_q8_1_cuda( int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5483,7 +6181,7 @@ static void ggml_mul_mat_q3_K_q8_1_cuda( int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5529,7 +6227,7 @@ static void ggml_mul_mat_q4_K_q8_1_cuda( int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5574,7 +6272,7 @@ static void ggml_mul_mat_q5_K_q8_1_cuda( int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5619,7 +6317,7 @@ static void ggml_mul_mat_q6_K_q8_1_cuda( int id; CUDA_CHECK(cudaGetDevice(&id)); - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= CC_RDNA2) { @@ -5697,6 +6395,39 @@ static void ggml_cpy_f32_f16_cuda( (cx, cdst, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12); } +static void ggml_cpy_f32_q8_0_cuda( + const char * cx, char * cdst, const int ne, + const int ne00, const int ne01, const int nb00, const int nb01, const int nb02, + const int ne10, const int ne11, const int nb10, const int nb11, const int nb12, cudaStream_t stream) { + + GGML_ASSERT(ne % QK8_0 == 0); + const int num_blocks = ne / QK8_0; + cpy_f32_q<<>> + (cx, cdst, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12); +} + +static void ggml_cpy_f32_q4_0_cuda( + const char * cx, char * cdst, const int ne, + const int ne00, const int ne01, const int nb00, const int nb01, const int nb02, + const int ne10, const int ne11, const int nb10, const int nb11, const int nb12, cudaStream_t stream) { + + GGML_ASSERT(ne % QK4_0 == 0); + const int num_blocks = ne / QK4_0; + cpy_f32_q<<>> + (cx, cdst, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12); +} + +static void ggml_cpy_f32_q4_1_cuda( + const char * cx, char * cdst, const int ne, + const int ne00, const int ne01, const int nb00, const int nb01, const int nb02, + const int ne10, const int ne11, const int nb10, const int nb11, const int nb12, cudaStream_t stream) { + + GGML_ASSERT(ne % QK4_1 == 0); + const int num_blocks = ne / QK4_1; + cpy_f32_q<<>> + (cx, cdst, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12); +} + static void ggml_cpy_f16_f16_cuda( const char * cx, char * cdst, const int ne, const int ne00, const int ne01, const int nb00, const int nb01, const int nb02, @@ -5739,20 +6470,26 @@ static void rope_cuda( template static void rope_neox_cuda( - const T * x, T * dst, int ncols, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows, + const T * x, T * dst, int ncols, int n_dims, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows, float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream ) { GGML_ASSERT(ncols % 2 == 0); const dim3 block_dims(1, CUDA_ROPE_BLOCK_SIZE, 1); const int num_blocks_x = (ncols + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE); const dim3 block_nums(nrows, num_blocks_x, 1); + + const float theta_scale = powf(freq_base, -2.0f/n_dims); + const float inv_ndims = -1.0f / n_dims; + if (pos == nullptr) { rope_neox<<>>( - x, dst, ncols, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims + x, dst, ncols, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims, + theta_scale, inv_ndims ); } else { rope_neox<<>>( - x, dst, ncols, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims + x, dst, ncols, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims, + theta_scale, inv_ndims ); } } @@ -5777,6 +6514,27 @@ static void alibi_f32_cuda(const float * x, float * dst, const int ncols, const alibi_f32<<>>(x, dst, ncols, k_rows, n_heads_log2_floor, m0, m1); } +static void sum_rows_f32_cuda(const float * x, float * dst, const int ncols, const int nrows, cudaStream_t stream) { + const dim3 block_dims(WARP_SIZE, 1, 1); + const dim3 block_nums(1, nrows, 1); + k_sum_rows_f32<<>>(x, dst, ncols); +} + +static void argsort_f32_i32_cuda(const float * x, int * dst, const int ncols, const int nrows, ggml_sort_order order, cudaStream_t stream) { + // bitonic sort requires ncols to be power of 2 + GGML_ASSERT((ncols & (ncols - 1)) == 0); + + const dim3 block_dims(ncols, 1, 1); + const dim3 block_nums(1, nrows, 1); + if (order == GGML_SORT_ASC) { + k_argsort_f32_i32<<>>(x, dst, ncols); + } else if (order == GGML_SORT_DESC) { + k_argsort_f32_i32<<>>(x, dst, ncols); + } else { + GGML_ASSERT(false); + } +} + static void diag_mask_inf_f32_cuda(const float * x, float * dst, const int ncols_x, const int nrows_x, const int rows_per_channel, const int n_past, cudaStream_t stream) { const dim3 block_dims(1, CUDA_DIAG_MASK_INF_BLOCK_SIZE, 1); const int block_num_x = (ncols_x + CUDA_DIAG_MASK_INF_BLOCK_SIZE - 1) / CUDA_DIAG_MASK_INF_BLOCK_SIZE; @@ -5784,19 +6542,22 @@ static void diag_mask_inf_f32_cuda(const float * x, float * dst, const int ncols diag_mask_inf_f32<<>>(x, dst, ncols_x, rows_per_channel, n_past); } -static void soft_max_f32_cuda(const float * x, float * dst, const int ncols_x, const int nrows_x, cudaStream_t stream) { - const dim3 block_dims(1, WARP_SIZE, 1); +static void soft_max_f32_cuda(const float * x, const float * y, float * dst, const int ncols_x, const int nrows_x, const int nrows_y, const float scale, cudaStream_t stream) { + int nth = WARP_SIZE; + while (nth < ncols_x && nth < CUDA_SOFT_MAX_BLOCK_SIZE) nth *= 2; + const dim3 block_dims(nth, 1, 1); const dim3 block_nums(nrows_x, 1, 1); - soft_max_f32<<>>(x, dst, ncols_x); + soft_max_f32<<>>(x, y, dst, ncols_x, nrows_y, scale); } -static void im2col_f32_f16_cuda(const float * x, half * dst, - int OH, int IW, int IH, int OW, int IC, - int KH, int KW, int N, int ofs0, int ofs1, - int s0, int s1, int p0, int p1, int d0, int d1, cudaStream_t stream) { - dim3 block_nums(IC, OH, OW); - dim3 block_dims(N, KH, KW); - im2col_f32_f16<<>>(x, dst, ofs0, ofs1, IW, IH, (IC * KH * KW), s0, s1, p0, p1, d0, d1); +static void im2col_f32_f16_cuda(const float* x, half* dst, + int IW, int IH, int OW, int OH, int KW, int KH, int IC, + int offset_delta, + int s0,int s1,int p0,int p1,int d0,int d1, cudaStream_t stream) { + const int parallel_elements = OW * KW * KH; + const int num_blocks = (parallel_elements + CUDA_IM2COL_BLOCK_SIZE - 1) / CUDA_IM2COL_BLOCK_SIZE; + dim3 block_nums(num_blocks, OH, IC); + im2col_f32_f16<<>>(x, dst, offset_delta, IW, IH, OW, KW, KH, parallel_elements, (IC * KH * KW), s0, s1, p0, p1, d0, d1); } // buffer pool for cuda @@ -5816,30 +6577,30 @@ struct scoped_spin_lock { scoped_spin_lock& operator=(const scoped_spin_lock&) = delete; }; -struct cuda_buffer { +static std::atomic_flag g_cuda_pool_lock = ATOMIC_FLAG_INIT; + +// #define DEBUG_CUDA_MALLOC +struct ggml_cuda_buffer { void * ptr = nullptr; size_t size = 0; }; -static cuda_buffer g_cuda_buffer_pool[GGML_CUDA_MAX_DEVICES][MAX_CUDA_BUFFERS]; -static std::atomic_flag g_cuda_pool_lock = ATOMIC_FLAG_INIT; +static ggml_cuda_buffer g_cuda_buffer_pool[GGML_CUDA_MAX_DEVICES][MAX_CUDA_BUFFERS]; +static size_t g_cuda_pool_size[GGML_CUDA_MAX_DEVICES] = {0}; -static void * ggml_cuda_pool_malloc(size_t size, size_t * actual_size) { +static void * ggml_cuda_pool_malloc_leg(int device, size_t size, size_t * actual_size) { scoped_spin_lock lock(g_cuda_pool_lock); - int id; - CUDA_CHECK(cudaGetDevice(&id)); #ifdef DEBUG_CUDA_MALLOC int nnz = 0; - size_t max_size = 0, tot_size = 0; + size_t max_size = 0; #endif size_t best_diff = 1ull << 36; int ibest = -1; for (int i = 0; i < MAX_CUDA_BUFFERS; ++i) { - cuda_buffer& b = g_cuda_buffer_pool[id][i]; + ggml_cuda_buffer& b = g_cuda_buffer_pool[device][i]; if (b.ptr != nullptr) { #ifdef DEBUG_CUDA_MALLOC ++nnz; - tot_size += b.size; if (b.size > max_size) max_size = b.size; #endif if (b.size >= size) { @@ -5859,32 +6620,32 @@ static void * ggml_cuda_pool_malloc(size_t size, size_t * actual_size) { } } if (ibest >= 0) { - cuda_buffer& b = g_cuda_buffer_pool[id][ibest]; + ggml_cuda_buffer& b = g_cuda_buffer_pool[device][ibest]; void * ptr = b.ptr; *actual_size = b.size; b.ptr = nullptr; b.size = 0; return ptr; } -#ifdef DEBUG_CUDA_MALLOC - fprintf(stderr, "%s: %d buffers, max_size = %u MiB, tot_size = %u MiB, requested %u MiB\n", __func__, nnz, - (uint32_t)(max_size/1024/1024), (uint32_t)(tot_size/1024/1024), (uint32_t)(size/1024/1024)); -#endif void * ptr; size_t look_ahead_size = (size_t) (1.05 * size); look_ahead_size = 256 * ((look_ahead_size + 255)/256); + ggml_cuda_set_device(device); CUDA_CHECK(cudaMalloc((void **) &ptr, look_ahead_size)); *actual_size = look_ahead_size; + g_cuda_pool_size[device] += look_ahead_size; +#ifdef DEBUG_CUDA_MALLOC + fprintf(stderr, "%s[%d]: %d buffers, max_size = %u MB, pool_size = %u MB, requested %u MB\n", __func__, id, nnz, + (uint32_t)(max_size/1024/1024), (uint32_t)(g_cuda_pool_size[id]/1024/1024), (uint32_t)(size/1024/1024)); +#endif return ptr; } -static void ggml_cuda_pool_free(void * ptr, size_t size) { +static void ggml_cuda_pool_free_leg(int device, void * ptr, size_t size) { scoped_spin_lock lock(g_cuda_pool_lock); - int id; - CUDA_CHECK(cudaGetDevice(&id)); for (int i = 0; i < MAX_CUDA_BUFFERS; ++i) { - cuda_buffer& b = g_cuda_buffer_pool[id][i]; + ggml_cuda_buffer& b = g_cuda_buffer_pool[device][i]; if (b.ptr == nullptr) { b.ptr = ptr; b.size = size; @@ -5892,8 +6653,148 @@ static void ggml_cuda_pool_free(void * ptr, size_t size) { } } fprintf(stderr, "WARNING: cuda buffer pool full, increase MAX_CUDA_BUFFERS\n"); + ggml_cuda_set_device(device); CUDA_CHECK(cudaFree(ptr)); + g_cuda_pool_size[device] -= size; +} + +#if !defined(GGML_USE_HIPBLAS) +// pool with virtual memory +static CUdeviceptr g_cuda_pool_addr[GGML_CUDA_MAX_DEVICES] = {0}; +static size_t g_cuda_pool_used[GGML_CUDA_MAX_DEVICES] = {0}; +static const size_t CUDA_POOL_VMM_MAX_SIZE = 1ull << 36; // 64 GB + +static void * ggml_cuda_pool_malloc_vmm(int device, size_t size, size_t * actual_size) { + scoped_spin_lock lock(g_cuda_pool_lock); + + // round up the allocation size to the alignment to ensure that all allocations are aligned for all data types + const size_t alignment = 128; + size = alignment * ((size + alignment - 1) / alignment); + + size_t avail = g_cuda_pool_size[device] - g_cuda_pool_used[device]; + + if (size > avail) { + // round up to the next multiple of the granularity + size_t reserve_size = size - avail; + const size_t granularity = g_device_caps[device].vmm_granularity; + reserve_size = granularity * ((reserve_size + granularity - 1) / granularity); + + GGML_ASSERT(g_cuda_pool_size[device] + reserve_size <= CUDA_POOL_VMM_MAX_SIZE); + + // allocate more physical memory + CUmemAllocationProp prop = {}; + prop.type = CU_MEM_ALLOCATION_TYPE_PINNED; + prop.location.type = CU_MEM_LOCATION_TYPE_DEVICE; + prop.location.id = device; + CUmemGenericAllocationHandle handle; + CU_CHECK(cuMemCreate(&handle, reserve_size, &prop, 0)); + + // reserve virtual address space (if not already reserved) + if (g_cuda_pool_addr[device] == 0) { + CU_CHECK(cuMemAddressReserve(&g_cuda_pool_addr[device], CUDA_POOL_VMM_MAX_SIZE, 0, 0, 0)); + } + + // map at the end of the pool + CU_CHECK(cuMemMap(g_cuda_pool_addr[device] + g_cuda_pool_size[device], reserve_size, 0, handle, 0)); + + // the memory allocation handle is no longer needed after mapping + CU_CHECK(cuMemRelease(handle)); + + // set access + CUmemAccessDesc access = {}; + access.location.type = CU_MEM_LOCATION_TYPE_DEVICE; + access.location.id = device; + access.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE; + CU_CHECK(cuMemSetAccess(g_cuda_pool_addr[device] + g_cuda_pool_size[device], reserve_size, &access, 1)); + + // add to the pool + g_cuda_pool_size[device] += reserve_size; + + //printf("cuda pool[%d]: size increased to %llu MB (reserved %llu MB)\n", + // id, (unsigned long long) (g_cuda_pool_size[id]/1024/1024), + // (unsigned long long) (reserve_size/1024/1024)); + } + + GGML_ASSERT(g_cuda_pool_addr[device] != 0); + + void * ptr = (void *) (g_cuda_pool_addr[device] + g_cuda_pool_used[device]); + *actual_size = size; + g_cuda_pool_used[device] += size; + +#ifdef DEBUG_CUDA_MALLOC + printf("cuda pool[%d]: allocated %llu bytes at %llx [%s]\n", id, (unsigned long long) size, ptr); +#endif + + return ptr; +} + +static void ggml_cuda_pool_free_vmm(int device, void * ptr, size_t size) { + scoped_spin_lock lock(g_cuda_pool_lock); + +#ifdef DEBUG_CUDA_MALLOC + printf("cuda pool[%d]: freed %llu bytes at %llx\n", id, (unsigned long long) size, ptr); +#endif + + g_cuda_pool_used[device] -= size; + + // all deallocations must be in reverse order of the allocations + GGML_ASSERT(ptr == (void *) (g_cuda_pool_addr[device] + g_cuda_pool_used[device])); +} + +static void * ggml_cuda_pool_malloc(int device, size_t size, size_t * actual_size) { + if (g_device_caps[device].vmm) { + return ggml_cuda_pool_malloc_vmm(device, size, actual_size); + } else { + return ggml_cuda_pool_malloc_leg(device, size, actual_size); + } +} + +static void ggml_cuda_pool_free(int device, void * ptr, size_t size) { + if (g_device_caps[device].vmm) { + ggml_cuda_pool_free_vmm(device, ptr, size); + } else { + ggml_cuda_pool_free_leg(device, ptr, size); + } } +#else +#define ggml_cuda_pool_malloc ggml_cuda_pool_malloc_leg +#define ggml_cuda_pool_free ggml_cuda_pool_free_leg +#endif // !defined(GGML_USE_HIPBLAS) + +template +struct cuda_pool_alloc { + int device = -1; + T * ptr = nullptr; + size_t actual_size = 0; + + // size is in number of elements + T * alloc(size_t size) { + GGML_ASSERT(ptr == nullptr); + CUDA_CHECK(cudaGetDevice(&device)); + ptr = (T *) ggml_cuda_pool_malloc(device, size * sizeof(T), &this->actual_size); + return ptr; + } + + cuda_pool_alloc(size_t size) { + alloc(size); + } + + ~cuda_pool_alloc() { + if (ptr != nullptr) { + ggml_cuda_pool_free(device, ptr, actual_size); + } + } + + T * get() { + return ptr; + } + + cuda_pool_alloc() = default; + cuda_pool_alloc(const cuda_pool_alloc &) = delete; + cuda_pool_alloc(cuda_pool_alloc &&) = delete; + cuda_pool_alloc& operator=(const cuda_pool_alloc &) = delete; + cuda_pool_alloc& operator=(cuda_pool_alloc &&) = delete; +}; static bool g_cublas_loaded = false; @@ -5933,16 +6834,33 @@ void ggml_init_cublas() { #endif fprintf(stderr, "%s: found %d " GGML_CUDA_NAME " devices:\n", __func__, g_device_count); for (int id = 0; id < g_device_count; ++id) { + int device_vmm = 0; + +#if !defined(GGML_USE_HIPBLAS) + CUdevice device; + CU_CHECK(cuDeviceGet(&device, id)); + CU_CHECK(cuDeviceGetAttribute(&device_vmm, CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED, device)); + + if (device_vmm) { + CUmemAllocationProp alloc_prop = {}; + alloc_prop.type = CU_MEM_ALLOCATION_TYPE_PINNED; + alloc_prop.location.type = CU_MEM_LOCATION_TYPE_DEVICE; + alloc_prop.location.id = id; + CU_CHECK(cuMemGetAllocationGranularity(&g_device_caps[id].vmm_granularity, &alloc_prop, CU_MEM_ALLOC_GRANULARITY_RECOMMENDED)); + } +#endif // !defined(GGML_USE_HIPBLAS) + g_device_caps[id].vmm = !!device_vmm; + cudaDeviceProp prop; CUDA_CHECK(cudaGetDeviceProperties(&prop, id)); - fprintf(stderr, " Device %d: %s, compute capability %d.%d\n", id, prop.name, prop.major, prop.minor); + fprintf(stderr, " Device %d: %s, compute capability %d.%d, VMM: %s\n", id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no"); g_tensor_split[id] = total_vram; total_vram += prop.totalGlobalMem; #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) - g_compute_capabilities[id] = 100*prop.major + 10*prop.minor + CC_OFFSET_AMD; + g_device_caps[id].cc = 100*prop.major + 10*prop.minor + CC_OFFSET_AMD; #else - g_compute_capabilities[id] = 100*prop.major + 10*prop.minor; + g_device_caps[id].cc = 100*prop.major + 10*prop.minor; #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) } for (int id = 0; id < g_device_count; ++id) { @@ -5950,7 +6868,7 @@ void ggml_init_cublas() { } for (int id = 0; id < g_device_count; ++id) { - CUDA_CHECK(ggml_cuda_set_device(id)); + ggml_cuda_set_device(id); // create cuda streams for (int is = 0; is < MAX_STREAMS; ++is) { @@ -6002,10 +6920,9 @@ void * ggml_cuda_host_malloc(size_t size) { void * ptr = nullptr; cudaError_t err = cudaMallocHost((void **) &ptr, size); if (err != cudaSuccess) { - // The allocation error can be bypassed. A null ptr will assigned out of this function. - // This can fixed the OOM error in WSL. + // clear the error cudaGetLastError(); - fprintf(stderr, "WARNING: failed to allocate %.2f MiB of pinned memory: %s\n", + fprintf(stderr, "WARNING: failed to allocate %.2f MB of pinned memory: %s\n", size/1024.0/1024.0, cudaGetErrorString(err)); return nullptr; } @@ -6064,153 +6981,122 @@ static cudaError_t ggml_cuda_cpy_tensor_2d( } } -static void ggml_cuda_op_repeat( - const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_d, const float * src1_d, float * dst_d, const cudaStream_t & stream) { - // guaranteed to be an integer due to the check in ggml_can_repeat - const int64_t ne0 = dst->ne[0]; - const int64_t ne1 = dst->ne[1]; - const int64_t ne2 = dst->ne[2]; - const int64_t ne3 = dst->ne[3]; - - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; - - const size_t nb0 = dst->nb[0]; - const size_t nb1 = dst->nb[1]; - const size_t nb2 = dst->nb[2]; - const size_t nb3 = dst->nb[3]; - - const size_t nb00 = src0->nb[0]; - const size_t nb01 = src0->nb[1]; - const size_t nb02 = src0->nb[2]; - const size_t nb03 = src0->nb[3]; - - const int nr0 = (int)(ne0/ne00); - const int nr1 = (int)(ne1/ne01); - const int nr2 = (int)(ne2/ne02); - const int nr3 = (int)(ne3/ne03); - - // TODO: support for transposed / permuted tensors - GGML_ASSERT(nb0 == sizeof(float)); - GGML_ASSERT(nb00 == sizeof(float)); - - // TODO: very inefficient, implement in a kernel, or fewer cudaMemcpyAsync calls for contiguous tensors - for (int i3 = 0; i3 < nr3; i3++) { - for (int k3 = 0; k3 < ne03; k3++) { - for (int i2 = 0; i2 < nr2; i2++) { - for (int k2 = 0; k2 < ne02; k2++) { - for (int i1 = 0; i1 < nr1; i1++) { - for (int k1 = 0; k1 < ne01; k1++) { - for (int i0 = 0; i0 < nr0; i0++) { - CUDA_CHECK(cudaMemcpyAsync( - (char *) dst_d + (i3*ne03 + k3)*nb3 + (i2*ne02 + k2)*nb2 + (i1*ne01 + k1)*nb1 + (i0*ne00)*nb0, - (const char *) src0_d + ( k3)*nb03 + ( k2)*nb02 + ( k1)*nb01, - ne00*nb0, cudaMemcpyDeviceToDevice, stream)); - } - } - } - } - } - } - } - - (void) src1; - (void) src1_d; -} - static void ggml_cuda_op_get_rows( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_d, const float * src1_d, float * dst_d, const cudaStream_t & stream) { + const float * src0_d, const float * src1_d, float * dst_d, cudaStream_t stream) { GGML_ASSERT(src1->type == GGML_TYPE_I32); GGML_ASSERT(dst->type == GGML_TYPE_F32); - GGML_ASSERT(ggml_is_contiguous(src0)); - GGML_ASSERT(ggml_is_contiguous(src1)); - GGML_ASSERT(ggml_is_contiguous(dst)); - const int ncols = src0->ne[0]; - const int nrows = ggml_nelements(src1); + GGML_ASSERT(src0->nb[0] == ggml_type_size(src0->type)); + GGML_ASSERT(src1->nb[0] == ggml_type_size(src1->type)); + GGML_ASSERT(dst->nb[0] == ggml_type_size(dst->type)); const int32_t * src1_i32 = (const int32_t *) src1_d; switch (src0->type) { case GGML_TYPE_F16: - get_rows_cuda<1, 1, convert_f16>(src0_d, src1_i32, dst_d, nrows, ncols, stream); + get_rows_cuda_float(src0, src1, dst, (const half *)src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_F32: - get_rows_cuda<1, 1, convert_f32>(src0_d, src1_i32, dst_d, nrows, ncols, stream); + get_rows_cuda_float(src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q4_0: - get_rows_cuda(src0_d, src1_i32, dst_d, nrows, ncols, stream); + get_rows_cuda(src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q4_1: - get_rows_cuda(src0_d, src1_i32, dst_d, nrows, ncols, stream); + get_rows_cuda(src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q5_0: - get_rows_cuda(src0_d, src1_i32, dst_d, nrows, ncols, stream); + get_rows_cuda(src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q5_1: - get_rows_cuda(src0_d, src1_i32, dst_d, nrows, ncols, stream); + get_rows_cuda(src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q8_0: - get_rows_cuda(src0_d, src1_i32, dst_d, nrows, ncols, stream); + get_rows_cuda(src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; default: // TODO: k-quants + fprintf(stderr, "%s: unsupported type: %s\n", __func__, ggml_type_name(src0->type)); GGML_ASSERT(false); break; } } -inline void ggml_cuda_op_add( +template +static void ggml_cuda_op_bin_bcast( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { - - GGML_ASSERT(ggml_is_contiguous(src0)); - GGML_ASSERT(ggml_is_contiguous(src1)); + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src1->type == GGML_TYPE_F32); - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { - add_f32_cuda(src0_dd, src1_dd, dst_dd, ggml_nelements(src0), ne10*ne11, main_stream); + op()(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); } else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) { - add_f16_f32_f16_cuda((const half *) src0_dd, src1_dd, (half *) dst_dd, ggml_nelements(src0), main_stream); + op()(src0, src1, dst, (const half *) src0_dd, src1_dd, (half *) dst_dd, main_stream); } else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F32) { - add_f16_f32_f32_cuda((const half *) src0_dd, src1_dd, dst_dd, ggml_nelements(src0), main_stream); + op()(src0, src1, dst, (const half *) src0_dd, src1_dd, dst_dd, main_stream); } else { - fprintf(stderr, "src0->type: %d dst->type: %d\n", src0->type, dst->type); + fprintf(stderr, "%s: unsupported types: dst: %s, src0: %s, src1: %s\n", __func__, + ggml_type_name(dst->type), ggml_type_name(src0->type), ggml_type_name(src1->type)); GGML_ASSERT(false); } +} + +static void ggml_cuda_op_repeat( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_d, const float * src1_d, float * dst_d, cudaStream_t main_stream) { + + ggml_cuda_op_bin_bcast>(dst, src0, dst, nullptr, src0_d, dst_d, main_stream); (void) src1; - (void) dst; + (void) src1_d; +} + +static void ggml_cuda_op_add( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + ggml_cuda_op_bin_bcast>(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); } -inline void ggml_cuda_op_mul( +static void ggml_cuda_op_acc( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT(src1->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); + GGML_ASSERT(dst->ne[3] == 1); // just 3D tensors supported - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; + int nb1 = dst->op_params[0] / 4; // 4 bytes of float32 + int nb2 = dst->op_params[1] / 4; // 4 bytes of float32 + // int nb3 = dst->op_params[2] / 4; // 4 bytes of float32 - unused + int offset = dst->op_params[3] / 4; // offset in bytes - mul_f32_cuda(src0_dd, src1_dd, dst_dd, ggml_nelements(src0), ne10*ne11, main_stream); + acc_f32_cuda(src0_dd, src1_dd, dst_dd, ggml_nelements(dst), src1->ne[0], src1->ne[1], src1->ne[2], nb1, nb2, offset, main_stream); (void) dst; } -inline void ggml_cuda_op_gelu( +static void ggml_cuda_op_mul( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + ggml_cuda_op_bin_bcast>(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); +} + +static void ggml_cuda_op_div( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + ggml_cuda_op_bin_bcast>(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); +} + +static void ggml_cuda_op_gelu( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -6222,9 +7108,9 @@ inline void ggml_cuda_op_gelu( (void) src1_dd; } -inline void ggml_cuda_op_silu( +static void ggml_cuda_op_silu( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -6236,9 +7122,37 @@ inline void ggml_cuda_op_silu( (void) src1_dd; } -inline void ggml_cuda_op_relu( +static void ggml_cuda_op_gelu_quick( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); + + gelu_quick_f32_cuda(src0_dd, dst_dd, ggml_nelements(src0), main_stream); + + (void) src1; + (void) dst; + (void) src1_dd; +} + +static void ggml_cuda_op_tanh( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); + + tanh_f32_cuda(src0_dd, dst_dd, ggml_nelements(src0), main_stream); + + (void) src1; + (void) dst; + (void) src1_dd; +} + +static void ggml_cuda_op_relu( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -6250,9 +7164,26 @@ inline void ggml_cuda_op_relu( (void) src1_dd; } -inline void ggml_cuda_op_sqr( +static void ggml_cuda_op_leaky_relu( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); + + float negative_slope; + memcpy(&negative_slope, dst->op_params, sizeof(float)); + + leaky_relu_f32_cuda(src0_dd, dst_dd, ggml_nelements(src0), negative_slope, main_stream); + + (void) src1; + (void) dst; + (void) src1_dd; +} + +static void ggml_cuda_op_sqr( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -6264,9 +7195,9 @@ inline void ggml_cuda_op_sqr( (void) src1_dd; } -inline void ggml_cuda_op_norm( +static void ggml_cuda_op_norm( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -6274,16 +7205,85 @@ inline void ggml_cuda_op_norm( const int64_t ne00 = src0->ne[0]; const int64_t nrows = ggml_nrows(src0); - norm_f32_cuda(src0_dd, dst_dd, ne00, nrows, main_stream); + float eps; + memcpy(&eps, dst->op_params, sizeof(float)); + + norm_f32_cuda(src0_dd, dst_dd, ne00, nrows, eps, main_stream); + + (void) src1; + (void) dst; + (void) src1_dd; +} + +static void ggml_cuda_op_group_norm( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); + + int num_groups = dst->op_params[0]; + int group_size = src0->ne[0] * src0->ne[1] * ((src0->ne[2] + num_groups - 1) / num_groups); + group_norm_f32_cuda(src0_dd, dst_dd, num_groups, group_size, src0->ne[0] * src0->ne[1] * src0->ne[2], main_stream); + + (void) src1; + (void) dst; + (void) src1_dd; +} + +static void ggml_cuda_op_concat( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT(src1->type == GGML_TYPE_F32); + GGML_ASSERT(dst->type == GGML_TYPE_F32); + + for (int i3 = 0; i3 < dst->ne[3]; i3++) { + concat_f32_cuda(src0_dd + i3 * (src0->nb[3] / 4), src1_dd + i3 * (src1->nb[3] / 4), dst_dd + i3 * (dst->nb[3] / 4), dst->ne[0], dst->ne[1], dst->ne[2], src0->ne[2], main_stream); + } + + (void) src1; + (void) dst; +} + +static void ggml_cuda_op_upscale( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT(dst->type == GGML_TYPE_F32); + GGML_ASSERT(src0->ne[3] == 1 && dst->ne[3] == 1); // just 3D tensors + + const int scale_factor = dst->op_params[0]; + + upscale_f32_cuda(src0_dd, dst_dd, src0->ne[0], src0->ne[1], src0->ne[2], scale_factor, main_stream); + + (void) src1; + (void) dst; + (void) src1_dd; +} + +static void ggml_cuda_op_pad( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT(dst->type == GGML_TYPE_F32); + GGML_ASSERT(src0->ne[3] == 1 && dst->ne[3] == 1); // just 3D tensors + + pad_f32_cuda(src0_dd, dst_dd, + src0->ne[0], src0->ne[1], src0->ne[2], + dst->ne[0], dst->ne[1], dst->ne[2], main_stream); (void) src1; (void) dst; (void) src1_dd; } -inline void ggml_cuda_op_rms_norm( +static void ggml_cuda_op_rms_norm( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -6301,10 +7301,10 @@ inline void ggml_cuda_op_rms_norm( (void) src1_dd; } -inline void ggml_cuda_op_mul_mat_q( +static void ggml_cuda_op_mul_mat_q( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const char * src0_dd_i, const float * src1_ddf_i, const char * src1_ddq_i, float * dst_dd_i, const int64_t row_low, const int64_t row_high, const int64_t src1_ncols, - const int64_t src1_padded_row_size, const cudaStream_t & stream) { + const int64_t src1_padded_row_size, cudaStream_t stream) { const int64_t ne00 = src0->ne[0]; @@ -6366,13 +7366,13 @@ inline void ggml_cuda_op_mul_mat_q( static int64_t get_row_rounding(ggml_type type) { int64_t min_compute_capability = INT_MAX; int64_t max_compute_capability = INT_MIN; - for (int64_t id = 0; id < g_device_count; ++id) { + for (int id = 0; id < g_device_count; ++id) { if (g_tensor_split[id] < (id + 1 < g_device_count ? g_tensor_split[id + 1] : 1.0f)) { - if (min_compute_capability > g_compute_capabilities[id]) { - min_compute_capability = g_compute_capabilities[id]; + if (min_compute_capability > g_device_caps[id].cc) { + min_compute_capability = g_device_caps[id].cc; } - if (max_compute_capability < g_compute_capabilities[id]) { - max_compute_capability = g_compute_capabilities[id]; + if (max_compute_capability < g_device_caps[id].cc) { + max_compute_capability = g_device_caps[id].cc; } } } @@ -6424,10 +7424,12 @@ static int64_t get_row_rounding(ggml_type type) { #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) } -inline void ggml_cuda_op_mul_mat_vec_q( +static void ggml_cuda_op_mul_mat_vec_q( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const char * src0_dd_i, const float * src1_ddf_i, const char * src1_ddq_i, float * dst_dd_i, const int64_t row_low, const int64_t row_high, const int64_t src1_ncols, - const int64_t src1_padded_row_size, const cudaStream_t & stream) { + const int64_t src1_padded_row_size, cudaStream_t stream) { + + GGML_ASSERT(ggml_nrows(src1) == 1); const int64_t ne00 = src0->ne[0]; const int64_t row_diff = row_high - row_low; @@ -6475,25 +7477,28 @@ inline void ggml_cuda_op_mul_mat_vec_q( (void) src1_padded_row_size; } -inline void ggml_cuda_op_dequantize_mul_mat_vec( +static void ggml_cuda_op_dequantize_mul_mat_vec( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const char * src0_dd_i, const float * src1_ddf_i, const char * src1_ddq_i, float * dst_dd_i, const int64_t row_low, const int64_t row_high, const int64_t src1_ncols, - const int64_t src1_padded_row_size, const cudaStream_t & stream) { + const int64_t src1_padded_row_size, cudaStream_t stream) { const int64_t ne00 = src0->ne[0]; const int64_t row_diff = row_high - row_low; + GGML_ASSERT(src1->type == GGML_TYPE_F32); + // on some GPUs it is faster to convert src1 to half and to use half precision intrinsics #ifdef GGML_CUDA_F16 - size_t ash; - dfloat * src1_dfloat = nullptr; // dfloat == half + cuda_pool_alloc src1_dfloat_a; + half * src1_dfloat = nullptr; // dfloat == half - bool src1_convert_f16 = src0->type == GGML_TYPE_Q4_0 || src0->type == GGML_TYPE_Q4_1 || + bool src1_convert_f16 = + src0->type == GGML_TYPE_Q4_0 || src0->type == GGML_TYPE_Q4_1 || src0->type == GGML_TYPE_Q5_0 || src0->type == GGML_TYPE_Q5_1 || src0->type == GGML_TYPE_Q8_0 || src0->type == GGML_TYPE_F16; if (src1_convert_f16) { - src1_dfloat = (half *) ggml_cuda_pool_malloc(ne00*sizeof(half), &ash); + src1_dfloat = src1_dfloat_a.alloc(ne00); ggml_cpy_f32_f16_cuda((const char *) src1_ddf_i, (char *) src1_dfloat, ne00, ne00, 1, sizeof(float), 0, 0, ne00, 1, sizeof(half), 0, 0, stream); @@ -6541,12 +7546,6 @@ inline void ggml_cuda_op_dequantize_mul_mat_vec( break; } -#ifdef GGML_CUDA_F16 - if (src1_convert_f16) { - ggml_cuda_pool_free(src1_dfloat, ash); - } -#endif // GGML_CUDA_F16 - (void) src1; (void) dst; (void) src1_ddq_i; @@ -6554,10 +7553,10 @@ inline void ggml_cuda_op_dequantize_mul_mat_vec( (void) src1_padded_row_size; } -inline void ggml_cuda_op_mul_mat_cublas( +static void ggml_cuda_op_mul_mat_cublas( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const char * src0_dd_i, const float * src1_ddf_i, const char * src1_ddq_i, float * dst_dd_i, const int64_t row_low, const int64_t row_high, const int64_t src1_ncols, - const int64_t src1_padded_row_size, const cudaStream_t & stream) { + const int64_t src1_padded_row_size, cudaStream_t stream) { GGML_ASSERT(src0_dd_i != nullptr); GGML_ASSERT(src1_ddf_i != nullptr); @@ -6577,33 +7576,31 @@ inline void ggml_cuda_op_mul_mat_cublas( // ldc == nrows of the matrix that cuBLAS writes into int ldc = dst->backend == GGML_BACKEND_GPU && id == g_main_device ? ne0 : row_diff; - const int compute_capability = g_compute_capabilities[id]; + const int compute_capability = g_device_caps[id].cc; - if (compute_capability >= CC_VOLTA && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && ggml_is_contiguous(src0) && row_diff == src0->ne[1]) { + if (compute_capability >= CC_VOLTA && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && ggml_is_contiguous(src0) && row_diff == src0->ne[1] && dst->op_params[0] == GGML_PREC_DEFAULT) { + //printf("this branch\n"); // convert src0 and src1 to fp16, multiply as fp16, convert dst to fp32 - half * src0_as_f16 = nullptr; - size_t src0_as = 0; + cuda_pool_alloc src0_as_f16; if (src0->type != GGML_TYPE_F16) { const to_fp16_cuda_t to_fp16_cuda = ggml_get_to_fp16_cuda(src0->type); GGML_ASSERT(to_fp16_cuda != nullptr); size_t ne = row_diff*ne00; - src0_as_f16 = (half *) ggml_cuda_pool_malloc(ne * sizeof(half), &src0_as); - to_fp16_cuda(src0_dd_i, src0_as_f16, ne, stream); + src0_as_f16.alloc(ne); + to_fp16_cuda(src0_dd_i, src0_as_f16.get(), ne, stream); } - const half * src0_ptr = src0->type == GGML_TYPE_F16 ? (const half *) src0_dd_i : src0_as_f16; + const half * src0_ptr = src0->type == GGML_TYPE_F16 ? (const half *) src0_dd_i : src0_as_f16.get(); - half * src1_as_f16 = nullptr; - size_t src1_as = 0; + cuda_pool_alloc src1_as_f16; if (src1->type != GGML_TYPE_F16) { const to_fp16_cuda_t to_fp16_cuda = ggml_get_to_fp16_cuda(src1->type); GGML_ASSERT(to_fp16_cuda != nullptr); size_t ne = src1_ncols*ne10; - src1_as_f16 = (half *) ggml_cuda_pool_malloc(ne * sizeof(half), &src1_as); - to_fp16_cuda(src1_ddf_i, src1_as_f16, ne, stream); + src1_as_f16.alloc(ne); + to_fp16_cuda(src1_ddf_i, src1_as_f16.get(), ne, stream); } - const half * src1_ptr = src1->type == GGML_TYPE_F16 ? (const half *) src1_ddf_i : src1_as_f16; - size_t dst_as = 0; - half * dst_f16 = (half *) ggml_cuda_pool_malloc(row_diff*src1_ncols * sizeof(half), &dst_as); + const half * src1_ptr = src1->type == GGML_TYPE_F16 ? (const half *) src1_ddf_i : src1_as_f16.get(); + cuda_pool_alloc dst_f16(row_diff*src1_ncols); const half alpha_f16 = 1.0f; const half beta_f16 = 0.0f; @@ -6612,36 +7609,33 @@ inline void ggml_cuda_op_mul_mat_cublas( CUBLAS_CHECK( cublasGemmEx(g_cublas_handles[id], CUBLAS_OP_T, CUBLAS_OP_N, row_diff, src1_ncols, ne10, - &alpha_f16, src0_ptr, CUDA_R_16F, ne00, - src1_ptr, CUDA_R_16F, ne10, - &beta_f16, dst_f16, CUDA_R_16F, ldc, + &alpha_f16, src0_ptr, CUDA_R_16F, ne00, + src1_ptr, CUDA_R_16F, ne10, + &beta_f16, dst_f16.get(), CUDA_R_16F, ldc, CUBLAS_COMPUTE_16F, CUBLAS_GEMM_DEFAULT_TENSOR_OP)); const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16); - to_fp32_cuda(dst_f16, dst_dd_i, row_diff*src1_ncols, stream); - - ggml_cuda_pool_free(dst_f16, dst_as); - - if (src0_as != 0) { - ggml_cuda_pool_free(src0_as_f16, src0_as); - } - - if (src1_as != 0) { - ggml_cuda_pool_free(src1_as_f16, src1_as); - } - } - else { - float * src0_ddq_as_f32 = nullptr; - size_t src0_as = 0; + to_fp32_cuda(dst_f16.get(), dst_dd_i, row_diff*src1_ncols, stream); + } else { + cuda_pool_alloc src0_ddq_as_f32; + cuda_pool_alloc src1_ddq_as_f32; if (src0->type != GGML_TYPE_F32) { const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(src0->type); GGML_ASSERT(to_fp32_cuda != nullptr); - src0_ddq_as_f32 = (float *) ggml_cuda_pool_malloc(row_diff*ne00 * sizeof(float), &src0_as); // NOLINT - to_fp32_cuda(src0_dd_i, src0_ddq_as_f32, row_diff*ne00, stream); + src0_ddq_as_f32.alloc(row_diff*ne00); + to_fp32_cuda(src0_dd_i, src0_ddq_as_f32.get(), row_diff*ne00, stream); + } + if (src1->type != GGML_TYPE_F32) { + const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(src1->type); + GGML_ASSERT(to_fp32_cuda != nullptr); + src1_ddq_as_f32.alloc(src1_ncols*ne10); + to_fp32_cuda(src1_ddf_i, src1_ddq_as_f32.get(), src1_ncols*ne10, stream); } - const float * src0_ddf_i = src0->type == GGML_TYPE_F32 ? (const float *) src0_dd_i : src0_ddq_as_f32; + + const float * src0_ddf_i = src0->type == GGML_TYPE_F32 ? (const float *) src0_dd_i : src0_ddq_as_f32.get(); + const float * src1_ddf1_i = src1->type == GGML_TYPE_F32 ? (const float *) src1_ddf_i : src1_ddq_as_f32.get(); const float alpha = 1.0f; const float beta = 0.0f; @@ -6650,13 +7644,9 @@ inline void ggml_cuda_op_mul_mat_cublas( CUBLAS_CHECK( cublasSgemm(g_cublas_handles[id], CUBLAS_OP_T, CUBLAS_OP_N, row_diff, src1_ncols, ne10, - &alpha, src0_ddf_i, ne00, - src1_ddf_i, ne10, - &beta, dst_dd_i, ldc)); - - if (src0_as != 0) { - ggml_cuda_pool_free(src0_ddq_as_f32, src0_as); - } + &alpha, src0_ddf_i, ne00, + src1_ddf1_i, ne10, + &beta, dst_dd_i, ldc)); } (void) dst; @@ -6664,9 +7654,9 @@ inline void ggml_cuda_op_mul_mat_cublas( (void) src1_padded_row_size; } -inline void ggml_cuda_op_rope( +static void ggml_cuda_op_rope( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); GGML_ASSERT( dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16); @@ -6710,15 +7700,14 @@ inline void ggml_cuda_op_rope( GGML_ASSERT(false); rope_glm_f32_cuda(src0_dd, dst_dd, ne00, nrows, pos, freq_scale, ne01, freq_base, n_ctx, main_stream); } else if (is_neox) { - GGML_ASSERT(ne00 == n_dims && "ne00 != n_dims is not implemented for CUDA yet"); if (src0->type == GGML_TYPE_F32) { rope_neox_cuda( - (const float *)src0_dd, (float *)dst_dd, ne00, nrows, pos, freq_scale, ne01, freq_base, ext_factor, + (const float *)src0_dd, (float *)dst_dd, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor, attn_factor, corr_dims, main_stream ); } else if (src0->type == GGML_TYPE_F16) { rope_neox_cuda( - (const half *)src0_dd, (half *)dst_dd, ne00, nrows, pos, freq_scale, ne01, freq_base, ext_factor, + (const half *)src0_dd, (half *)dst_dd, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor, attn_factor, corr_dims, main_stream ); } else { @@ -6745,9 +7734,9 @@ inline void ggml_cuda_op_rope( (void) src1_dd; } -inline void ggml_cuda_op_alibi( +static void ggml_cuda_op_alibi( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -6776,9 +7765,9 @@ inline void ggml_cuda_op_alibi( (void) src1_dd; } -inline void ggml_cuda_op_im2col( +static void ggml_cuda_op_im2col( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F16); GGML_ASSERT(src1->type == GGML_TYPE_F32); @@ -6793,7 +7782,6 @@ inline void ggml_cuda_op_im2col( const bool is_2D = ((const int32_t*)(dst->op_params))[6] == 1; - const int64_t N = src1->ne[is_2D ? 3 : 2]; const int64_t IC = src1->ne[is_2D ? 2 : 1]; const int64_t IH = is_2D ? src1->ne[1] : 1; const int64_t IW = src1->ne[0]; @@ -6804,82 +7792,112 @@ inline void ggml_cuda_op_im2col( const int64_t OH = is_2D ? dst->ne[2] : 1; const int64_t OW = dst->ne[1]; - const size_t ofs0 = src1->nb[is_2D ? 3 : 2] / 4; // nb is byte offset, src is type float32 - const size_t ofs1 = src1->nb[is_2D ? 2 : 1] / 4; // nb is byte offset, src is type float32 + const size_t delta_offset = src1->nb[is_2D ? 2 : 1] / 4; // nb is byte offset, src is type float32 - im2col_f32_f16_cuda(src1_dd, (half*) dst_dd, - OH, IW, IH, OW, IC, KH, KW, N, - ofs0, ofs1, s0, s1, p0, p1, d0, d1, main_stream); + im2col_f32_f16_cuda(src1_dd, (half*) dst_dd, IW, IH, OW, OH, KW, KH, IC, delta_offset, s0, s1, p0, p1, d0, d1, main_stream); (void) src0; (void) src0_dd; } -inline void ggml_cuda_op_diag_mask_inf( +static void ggml_cuda_op_sum_rows( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int nrows0 = ggml_nrows(src0); - - const int n_past = ((int32_t *) dst->op_params)[0]; + const int64_t ncols = src0->ne[0]; + const int64_t nrows = ggml_nrows(src0); - diag_mask_inf_f32_cuda(src0_dd, dst_dd, ne00, nrows0, ne01, n_past, main_stream); + sum_rows_f32_cuda(src0_dd, dst_dd, ncols, nrows, main_stream); (void) src1; (void) dst; (void) src1_dd; } -inline void ggml_cuda_op_soft_max( +static void ggml_cuda_op_argsort( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); - GGML_ASSERT( dst->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_I32); - const int64_t ne00 = src0->ne[0]; + const int64_t ncols = src0->ne[0]; const int64_t nrows = ggml_nrows(src0); - soft_max_f32_cuda(src0_dd, dst_dd, ne00, nrows, main_stream); + enum ggml_sort_order order = (enum ggml_sort_order) dst->op_params[0]; + + argsort_f32_i32_cuda(src0_dd, (int *)dst_dd, ncols, nrows, order, main_stream); (void) src1; (void) dst; (void) src1_dd; } -inline void ggml_cuda_op_scale( +static void ggml_cuda_op_diag_mask_inf( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); - GGML_ASSERT(src1->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); - float scale; - // HACK: support for ggml backend interface - if (src1->backend == GGML_BACKEND_CPU) { - scale = ((float *) src1->data)[0]; - } else { - // TODO: pass pointer to kernel instead of copying to host - CUDA_CHECK(cudaMemcpy(&scale, src1->data, sizeof(float), cudaMemcpyDeviceToHost)); - } + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int nrows0 = ggml_nrows(src0); - scale_f32_cuda(src0_dd, dst_dd, scale, ggml_nelements(src0), main_stream); - CUDA_CHECK(cudaGetLastError()); + const int n_past = ((int32_t *) dst->op_params)[0]; - (void) src1; + diag_mask_inf_f32_cuda(src0_dd, dst_dd, ne00, nrows0, ne01, n_past, main_stream); + + (void) src1; + (void) dst; + (void) src1_dd; +} + +static void ggml_cuda_op_soft_max( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); + + GGML_ASSERT(!src1 || src1->type == GGML_TYPE_F32); // src1 contains mask and it is optional + + const int64_t ne00 = src0->ne[0]; + const int64_t nrows_x = ggml_nrows(src0); + const int64_t nrows_y = src1 ? ggml_nrows(src1) : 1; + + float scale = 1.0f; + memcpy(&scale, dst->op_params, sizeof(float)); + + soft_max_f32_cuda(src0_dd, src1 ? src1_dd : nullptr, dst_dd, ne00, nrows_x, nrows_y, scale, main_stream); + + (void) dst; +} + +static void ggml_cuda_op_scale( + const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); + + float scale; + memcpy(&scale, dst->op_params, sizeof(float)); + + scale_f32_cuda(src0_dd, dst_dd, scale, ggml_nelements(src0), main_stream); + CUDA_CHECK(cudaGetLastError()); + + (void) src1; (void) dst; (void) src1_dd; } -inline void ggml_cuda_op_clamp( +static void ggml_cuda_op_clamp( const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, - const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) { + const float * src0_dd, const float * src1_dd, float * dst_dd, cudaStream_t main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -6914,40 +7932,37 @@ static void ggml_cuda_op_flatten(const ggml_tensor * src0, const ggml_tensor * s const bool src1_on_device = use_src1 && src1->backend == GGML_BACKEND_GPU; const bool dst_on_device = dst->backend == GGML_BACKEND_GPU; - const bool src1_stays_on_host = use_src1 && dst->op == GGML_OP_SCALE; - // dd = data device float * src0_ddf = nullptr; float * src1_ddf = nullptr; float * dst_ddf = nullptr; - // as = actual size - size_t src0_asf = 0; - size_t src1_asf = 0; - size_t dst_asf = 0; + cuda_pool_alloc src0_f; + cuda_pool_alloc src1_f; + cuda_pool_alloc dst_f; ggml_cuda_set_device(g_main_device); - const cudaStream_t main_stream = g_cudaStreams[g_main_device][0]; + cudaStream_t main_stream = g_cudaStreams[g_main_device][0]; if (src0_on_device) { src0_ddf = (float *) src0_extra->data_device[g_main_device]; } else { - src0_ddf = (float *) ggml_cuda_pool_malloc(ggml_nbytes(src0), &src0_asf); + src0_ddf = src0_f.alloc(ggml_nelements(src0)); CUDA_CHECK(ggml_cuda_cpy_tensor_2d(src0_ddf, src0, 0, 0, 0, nrows0, main_stream)); } - if (use_src1 && !src1_stays_on_host) { + if (use_src1) { if (src1_on_device) { src1_ddf = (float *) src1_extra->data_device[g_main_device]; } else { - src1_ddf = (float *) ggml_cuda_pool_malloc(ggml_nbytes(src1), &src1_asf); + src1_ddf = src1_f.alloc(ggml_nelements(src1)); CUDA_CHECK(ggml_cuda_cpy_tensor_2d(src1_ddf, src1, 0, 0, 0, nrows1, main_stream)); } } if (dst_on_device) { dst_ddf = (float *) dst_extra->data_device[g_main_device]; } else { - dst_ddf = (float *) ggml_cuda_pool_malloc(ggml_nbytes(dst), &dst_asf); + dst_ddf = dst_f.alloc(ggml_nelements(dst)); } // do the computation @@ -6959,16 +7974,6 @@ static void ggml_cuda_op_flatten(const ggml_tensor * src0, const ggml_tensor * s CUDA_CHECK(cudaMemcpyAsync(dst->data, dst_ddf, ggml_nbytes(dst), cudaMemcpyDeviceToHost, main_stream)); } - if (src0_asf > 0) { - ggml_cuda_pool_free(src0_ddf, src0_asf); - } - if (src1_asf > 0) { - ggml_cuda_pool_free(src1_ddf, src1_asf); - } - if (dst_asf > 0) { - ggml_cuda_pool_free(dst_ddf, dst_asf); - } - if (dst->backend == GGML_BACKEND_CPU) { CUDA_CHECK(cudaDeviceSynchronize()); } @@ -6985,7 +7990,12 @@ static void ggml_cuda_set_peer_access(const int n_tokens) { #ifdef NDEBUG for (int id = 0; id < g_device_count; ++id) { - CUDA_CHECK(ggml_cuda_set_device(id)); + ggml_cuda_set_device(id); + CUDA_CHECK(cudaDeviceSynchronize()); + } + + for (int id = 0; id < g_device_count; ++id) { + ggml_cuda_set_device(id); for (int id_other = 0; id_other < g_device_count; ++id_other) { if (id == id_other) { @@ -7019,7 +8029,6 @@ static void ggml_cuda_op_mul_mat( const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; const int64_t ne03 = src0->ne[3]; - // const int64_t nrows0 = ggml_nrows(src0); const int64_t ne10 = src1->ne[0]; const int64_t ne11 = src1->ne[1]; @@ -7035,10 +8044,9 @@ static void ggml_cuda_op_mul_mat( const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; - ggml_cuda_set_peer_access(ne11); - GGML_ASSERT(dst->backend != GGML_BACKEND_GPU_SPLIT); GGML_ASSERT(src1->backend != GGML_BACKEND_GPU_SPLIT); + GGML_ASSERT(src1->type == GGML_TYPE_F32 || (src1->ne[2] == 1 && src1->ne[3] == 1)); GGML_ASSERT(ne12 >= ne02 && ne12 % ne02 == 0); @@ -7055,37 +8063,38 @@ static void ggml_cuda_op_mul_mat( const bool src0_on_device = src0->backend == GGML_BACKEND_GPU || src0->backend == GGML_BACKEND_GPU_SPLIT; const bool src0_is_contiguous = ggml_is_contiguous(src0); - const bool src1_is_contiguous = ggml_is_contiguous(src1); - const int64_t src1_padded_col_size = ne10 % MATRIX_ROW_PADDING == 0 ? - ne10 : ne10 - ne10 % MATRIX_ROW_PADDING + MATRIX_ROW_PADDING; + + const int64_t src1_padded_col_size = GGML_PAD(ne10, MATRIX_ROW_PADDING); const bool split = src0->backend == GGML_BACKEND_GPU_SPLIT; GGML_ASSERT(!(split && ne02 > 1)); GGML_ASSERT(!(split && ne03 > 1)); GGML_ASSERT(!(split && ne02 < ne12)); - // dd = data device - char * src0_dd[GGML_CUDA_MAX_DEVICES] = {nullptr}; - float * src1_ddf[GGML_CUDA_MAX_DEVICES] = {nullptr}; // float - char * src1_ddq[GGML_CUDA_MAX_DEVICES] = {nullptr}; // q8_1 - float * dst_dd[GGML_CUDA_MAX_DEVICES] = {nullptr}; + struct dev_data { + cuda_pool_alloc src0_dd_alloc; + cuda_pool_alloc src1_ddf_alloc; + cuda_pool_alloc src1_ddq_alloc; + cuda_pool_alloc dst_dd_alloc; - // as = actual size - size_t src0_as[GGML_CUDA_MAX_DEVICES] = {0}; - size_t src1_asf[GGML_CUDA_MAX_DEVICES] = {0}; - size_t src1_asq[GGML_CUDA_MAX_DEVICES] = {0}; - size_t dst_as[GGML_CUDA_MAX_DEVICES] = {0}; + char * src0_dd = nullptr; + float * src1_ddf = nullptr; // float + char * src1_ddq = nullptr; // q8_1 + float * dst_dd = nullptr; - int64_t row_low[GGML_CUDA_MAX_DEVICES]; - int64_t row_high[GGML_CUDA_MAX_DEVICES]; + int64_t row_low; + int64_t row_high; + }; + + dev_data dev[GGML_CUDA_MAX_DEVICES]; int used_devices = 0; - for (int64_t id = 0; id < g_device_count; ++id) { + for (int id = 0; id < g_device_count; ++id) { // by default, use all rows - row_low[id] = 0; - row_high[id] = ne01; + dev[id].row_low = 0; + dev[id].row_high = ne01; // for multi GPU, get the row boundaries from tensor split // and round to mul_mat_q tile sizes @@ -7093,19 +8102,23 @@ static void ggml_cuda_op_mul_mat( const int64_t rounding = get_row_rounding(src0->type); if (id != 0) { - row_low[id] = ne01*g_tensor_split[id]; - row_low[id] -= row_low[id] % rounding; + dev[id].row_low = ne01*g_tensor_split[id]; + if (dev[id].row_low < ne01) { + dev[id].row_low -= dev[id].row_low % rounding; + } } if (id != g_device_count - 1) { - row_high[id] = ne01*g_tensor_split[id + 1]; - row_high[id] -= row_high[id] % rounding; + dev[id].row_high = ne01*g_tensor_split[id + 1]; + if (dev[id].row_high < ne01) { + dev[id].row_high -= dev[id].row_high % rounding; + } } } } - for (int64_t id = 0; id < g_device_count; ++id) { - if ((!split && id != g_main_device) || row_low[id] == row_high[id]) { + for (int id = 0; id < g_device_count; ++id) { + if ((!split && id != g_main_device) || dev[id].row_low == dev[id].row_high) { continue; } @@ -7115,42 +8128,41 @@ static void ggml_cuda_op_mul_mat( const bool dst_on_device = dst->backend == GGML_BACKEND_GPU && id == g_main_device; ggml_cuda_set_device(id); - const cudaStream_t stream = g_cudaStreams[id][0]; + cudaStream_t stream = g_cudaStreams[id][0]; if (src0_on_device && src0_is_contiguous) { - src0_dd[id] = (char *) src0_extra->data_device[id]; + dev[id].src0_dd = (char *) src0_extra->data_device[id]; } else { - // const size_t size_src0_ddq = split ? (row_high[id]-row_low[id])*ne00 * src0_ts/src0_bs : ggml_nbytes(src0); - src0_dd[id] = (char *) ggml_cuda_pool_malloc(ggml_nbytes(src0), &src0_as[id]); + dev[id].src0_dd = dev[id].src0_dd_alloc.alloc(ggml_nbytes(src0)); } if (src1_on_device && src1_is_contiguous) { - src1_ddf[id] = (float *) src1_extra->data_device[id]; + dev[id].src1_ddf = (float *) src1_extra->data_device[id]; } else { - src1_ddf[id] = (float *) ggml_cuda_pool_malloc(ggml_nbytes(src1), &src1_asf[id]); + dev[id].src1_ddf = dev[id].src1_ddf_alloc.alloc(ggml_nelements(src1)); } if (convert_src1_to_q8_1) { - src1_ddq[id] = (char *) ggml_cuda_pool_malloc(nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs, &src1_asq[id]); + dev[id].src1_ddq = dev[id].src1_ddq_alloc.alloc(nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs); if (src1_on_device && src1_is_contiguous) { - quantize_row_q8_1_cuda(src1_ddf[id], src1_ddq[id], ne10, nrows1, src1_padded_col_size, stream); + quantize_row_q8_1_cuda(dev[id].src1_ddf, dev[id].src1_ddq, ne10, nrows1, src1_padded_col_size, stream); CUDA_CHECK(cudaGetLastError()); } } if (dst_on_device) { - dst_dd[id] = (float *) dst_extra->data_device[id]; + dev[id].dst_dd = (float *) dst_extra->data_device[id]; } else { - const size_t size_dst_ddf = split ? (row_high[id]-row_low[id])*ne1*sizeof(float) : ggml_nbytes(dst); - dst_dd[id] = (float *) ggml_cuda_pool_malloc(size_dst_ddf, &dst_as[id]); + const size_t size_dst_ddf = split ? (dev[id].row_high - dev[id].row_low)*ne1 : ggml_nelements(dst); + dev[id].dst_dd = dev[id].dst_dd_alloc.alloc(size_dst_ddf); } } // if multiple devices are used they need to wait for the main device // here an event is recorded that signals that the main device has finished calculating the input data if (split && used_devices > 1) { - CUDA_CHECK(ggml_cuda_set_device(g_main_device)); + ggml_cuda_set_device(g_main_device); CUDA_CHECK(cudaEventRecord(src0_extra->events[g_main_device][0], g_cudaStreams[g_main_device][0])); } @@ -7159,17 +8171,17 @@ static void ggml_cuda_op_mul_mat( const int64_t is = split ? (src1_col_0/src1_col_stride) % MAX_STREAMS : 0; const int64_t src1_ncols = src1_col_0 + src1_col_stride > ne11 ? ne11 - src1_col_0 : src1_col_stride; - for (int64_t id = 0; id < g_device_count; ++id) { - if ((!split && id != g_main_device) || row_low[id] == row_high[id]) { + for (int id = 0; id < g_device_count; ++id) { + if ((!split && id != g_main_device) || dev[id].row_low == dev[id].row_high) { continue; } const bool src1_on_device = src1->backend == GGML_BACKEND_GPU && id == g_main_device; const bool dst_on_device = dst->backend == GGML_BACKEND_GPU && id == g_main_device; - const int64_t row_diff = row_high[id] - row_low[id]; + const int64_t row_diff = dev[id].row_high - dev[id].row_low; ggml_cuda_set_device(id); - const cudaStream_t stream = g_cudaStreams[id][is]; + cudaStream_t stream = g_cudaStreams[id][is]; // wait for main GPU data if necessary if (split && (id != g_main_device || is != 0)) { @@ -7183,34 +8195,34 @@ static void ggml_cuda_op_mul_mat( const size_t src1_ddq_i_offset = (i0*ne11 + src1_col_0) * src1_padded_col_size*q8_1_ts/q8_1_bs; // for split tensors the data begins at i0 == i0_offset_low - char * src0_dd_i = src0_dd[id] + (i0/i02_divisor) * ne01*ne00*src0_ts/src0_bs; - float * src1_ddf_i = src1_ddf[id] + (i0*ne11 + src1_col_0) * ne10; - char * src1_ddq_i = src1_ddq[id] + src1_ddq_i_offset; - float * dst_dd_i = dst_dd[id] + (i0*ne1 + src1_col_0) * (dst_on_device ? ne0 : row_diff); + char * src0_dd_i = dev[id].src0_dd + (i0/i02_divisor) * (ne01*ne00*src0_ts)/src0_bs; + float * src1_ddf_i = dev[id].src1_ddf + (i0*ne11 + src1_col_0) * ne10; + char * src1_ddq_i = dev[id].src1_ddq + src1_ddq_i_offset; + float * dst_dd_i = dev[id].dst_dd + (i0*ne1 + src1_col_0) * (dst_on_device ? ne0 : row_diff); // the main device memory buffer can be on VRAM scratch, with space for all partial results // in that case an offset on dst_ddf_i is needed if (dst->backend == GGML_BACKEND_GPU && id == g_main_device) { - dst_dd_i += row_low[id]; // offset is 0 if no tensor split + dst_dd_i += dev[id].row_low; // offset is 0 if no tensor split } // copy src0, src1 to device if necessary if (src1->backend == GGML_BACKEND_GPU && src1_is_contiguous) { if (id != g_main_device) { if (convert_src1_to_q8_1) { - char * src1_ddq_i_source = src1_ddq[g_main_device] + src1_ddq_i_offset; - CUDA_CHECK(cudaMemcpyAsync(src1_ddq_i, src1_ddq_i_source, src1_ncols*src1_padded_col_size*q8_1_ts/q8_1_bs, - cudaMemcpyDeviceToDevice, stream)); + char * src1_ddq_i_source = dev[g_main_device].src1_ddq + src1_ddq_i_offset; + CUDA_CHECK(cudaMemcpyPeerAsync(src1_ddq_i, id, src1_ddq_i_source, g_main_device, + src1_ncols*src1_padded_col_size*q8_1_ts/q8_1_bs, stream)); } else { float * src1_ddf_i_source = (float *) src1_extra->data_device[g_main_device]; src1_ddf_i_source += (i0*ne11 + src1_col_0) * ne10; - CUDA_CHECK(cudaMemcpyAsync(src1_ddf_i, src1_ddf_i_source, src1_ncols*ne10*sizeof(float), - cudaMemcpyDeviceToDevice, stream)); + CUDA_CHECK(cudaMemcpyPeerAsync(src1_ddf_i, id, src1_ddf_i_source, g_main_device, + src1_ncols*ne10*sizeof(float), stream)); } } } else if (src1->backend == GGML_BACKEND_CPU || (src1_on_device && !src1_is_contiguous)) { CUDA_CHECK(ggml_cuda_cpy_tensor_2d( - src1_ddf_i, src1, i03, i02, src1_col_0, src1_col_0+src1_ncols, stream)); + src1_ddf_i, src1, i03, i02, src1_col_0, src1_col_0+src1_ncols, stream)); } else { GGML_ASSERT(false); } @@ -7221,12 +8233,12 @@ static void ggml_cuda_op_mul_mat( } if (src1_col_0 == 0 && (!src0_on_device || !src0_is_contiguous) && i02 % i02_divisor == 0) { - CUDA_CHECK(ggml_cuda_cpy_tensor_2d(src0_dd_i, src0, i03, i02/i02_divisor, row_low[id], row_high[id], stream)); + CUDA_CHECK(ggml_cuda_cpy_tensor_2d(src0_dd_i, src0, i03, i02/i02_divisor, dev[id].row_low, dev[id].row_high, stream)); } // do the computation op(src0, src1, dst, src0_dd_i, src1_ddf_i, src1_ddq_i, dst_dd_i, - row_low[id], row_high[id], src1_ncols, src1_padded_col_size, stream); + dev[id].row_low, dev[id].row_high, src1_ncols, src1_padded_col_size, stream); CUDA_CHECK(cudaGetLastError()); // copy dst to host or other device if necessary @@ -7250,9 +8262,25 @@ static void ggml_cuda_op_mul_mat( // If dst is a vector with ne0 == 1 then you don't have to do this but it still produces correct results. float * dhf_dst_i = (float *) ((char *) dst_off_device + i02*nb2 + i03*nb3); GGML_ASSERT(dst->nb[1] == ne0*sizeof(float)); - dhf_dst_i += src1_col_0*ne0 + row_low[id]; - CUDA_CHECK(cudaMemcpy2DAsync(dhf_dst_i, ne0*sizeof(float), dst_dd_i, row_diff*sizeof(float), - row_diff*sizeof(float), src1_ncols, kind, stream)); + dhf_dst_i += src1_col_0*ne0 + dev[id].row_low; +#if !defined(GGML_USE_HIPBLAS) + if (kind == cudaMemcpyDeviceToDevice) { + // cudaMemcpy2DAsync may fail with copies between vmm pools of different devices + cudaMemcpy3DPeerParms p = {}; + p.dstDevice = g_main_device; + p.dstPtr = make_cudaPitchedPtr(dhf_dst_i, ne0*sizeof(float), row_diff, src1_ncols); + p.srcDevice = id; + p.srcPtr = make_cudaPitchedPtr(dst_dd_i, row_diff*sizeof(float), row_diff, src1_ncols); + p.extent = make_cudaExtent(row_diff*sizeof(float), src1_ncols, 1); + CUDA_CHECK(cudaMemcpy3DPeerAsync(&p, stream)); + } else +#endif + { + CUDA_CHECK(cudaMemcpy2DAsync(dhf_dst_i, ne0*sizeof(float), + dst_dd_i, row_diff*sizeof(float), + row_diff*sizeof(float), src1_ncols, + kind, stream)); + } } else { float * dhf_dst_i = (float *) ((char *) dst_off_device + i02*nb2 + i03*nb3); GGML_ASSERT(dst->nb[1] == ne0*sizeof(float)); @@ -7269,35 +8297,14 @@ static void ggml_cuda_op_mul_mat( } } - for (int64_t id = 0; id < g_device_count; ++id) { - if ((!split && id != g_main_device) || row_low[id] == row_high[id]) { - continue; - } - CUDA_CHECK(ggml_cuda_set_device(id)); - - // free buffers again when done - if (src0_as[id] > 0) { - ggml_cuda_pool_free(src0_dd[id], src0_as[id]); - } - if (src1_asf[id] > 0) { - ggml_cuda_pool_free(src1_ddf[id], src1_asf[id]); - } - if (src1_asq[id] > 0) { - ggml_cuda_pool_free(src1_ddq[id], src1_asq[id]); - } - if (dst_as[id] > 0) { - ggml_cuda_pool_free(dst_dd[id], dst_as[id]); - } - } - // main device waits for all other devices to be finished if (split && g_device_count > 1) { int64_t is_max = (ne11 + MUL_MAT_SRC1_COL_STRIDE - 1) / MUL_MAT_SRC1_COL_STRIDE; is_max = is_max <= MAX_STREAMS ? is_max : MAX_STREAMS; - CUDA_CHECK(ggml_cuda_set_device(g_main_device)); - for (int64_t id = 0; id < g_device_count; ++id) { - if (row_low[id] == row_high[id]) { + ggml_cuda_set_device(g_main_device); + for (int id = 0; id < g_device_count; ++id) { + if (dev[id].row_low == dev[id].row_high) { continue; } for (int64_t is = 0; is < is_max; ++is) { @@ -7307,7 +8314,7 @@ static void ggml_cuda_op_mul_mat( } if (dst->backend == GGML_BACKEND_CPU) { - CUDA_CHECK(ggml_cuda_set_device(g_main_device)); + ggml_cuda_set_device(g_main_device); CUDA_CHECK(cudaDeviceSynchronize()); } } @@ -7324,10 +8331,18 @@ static void ggml_cuda_add(const ggml_tensor * src0, const ggml_tensor * src1, gg ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_add); } +static void ggml_cuda_acc(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_acc); +} + static void ggml_cuda_mul(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_mul); } +static void ggml_cuda_div(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_div); +} + static void ggml_cuda_gelu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_gelu); } @@ -7336,10 +8351,22 @@ static void ggml_cuda_silu(const ggml_tensor * src0, const ggml_tensor * src1, g ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_silu); } +static void ggml_cuda_gelu_quick(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_gelu_quick); +} + +static void ggml_cuda_tanh(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_tanh); +} + static void ggml_cuda_relu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_relu); } +static void ggml_cuda_leaky_relu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_leaky_relu); +} + static void ggml_cuda_sqr(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_sqr); } @@ -7348,12 +8375,28 @@ static void ggml_cuda_norm(const ggml_tensor * src0, const ggml_tensor * src1, g ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_norm); } +static void ggml_cuda_group_norm(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_group_norm); +} + +static void ggml_cuda_concat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_concat); +} + +static void ggml_cuda_upscale(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_upscale); +} + +static void ggml_cuda_pad(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_pad); +} + static void ggml_cuda_rms_norm(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_rms_norm); } bool ggml_cuda_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { - if (!g_cublas_loaded) { return false; } + if (!g_cublas_loaded) return false; const int64_t ne10 = src1->ne[0]; @@ -7381,7 +8424,7 @@ static void ggml_cuda_mul_mat_vec_p021(const ggml_tensor * src0, const ggml_tens const int64_t ne12 = src1->ne[2]; - CUDA_CHECK(ggml_cuda_set_device(g_main_device)); + ggml_cuda_set_device(g_main_device); cudaStream_t main_stream = g_cudaStreams[g_main_device][0]; ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; @@ -7413,7 +8456,7 @@ static void ggml_cuda_mul_mat_vec_nc(const ggml_tensor * src0, const ggml_tensor const int64_t ne12 = src1->ne[2]; - CUDA_CHECK(ggml_cuda_set_device(g_main_device)); + ggml_cuda_set_device(g_main_device); cudaStream_t main_stream = g_cudaStreams[g_main_device][0]; ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; @@ -7431,28 +8474,28 @@ static void ggml_cuda_mul_mat_vec_nc(const ggml_tensor * src0, const ggml_tensor ggml_mul_mat_vec_nc_f16_f32_cuda(src0_ddq, src1_ddf, dst_ddf, ne00, ne01, row_stride_x, ne02, ne12, channel_stride_x, main_stream); } -__global__ static void k_compute_batched_ptrs( - const half * src0_as_f16, const half * src1_as_f16, half * dst_f16, +static __global__ void k_compute_batched_ptrs( + const half * src0_as_f16, const half * src1_as_f16, char * dst, const void ** ptrs_src, void ** ptrs_dst, - int ne12, int ne13, - int ne23, - int nb02, int nb03, - int nb12, int nb13, - int nb2, int nb3, - int r2, int r3) { - int i13 = blockIdx.x * blockDim.x + threadIdx.x; - int i12 = blockIdx.y * blockDim.y + threadIdx.y; + int64_t ne12, int64_t ne13, + int64_t ne23, + size_t nb02, size_t nb03, + size_t nb12, size_t nb13, + size_t nbd2, size_t nbd3, + int64_t r2, int64_t r3) { + int64_t i13 = blockIdx.x * blockDim.x + threadIdx.x; + int64_t i12 = blockIdx.y * blockDim.y + threadIdx.y; if (i13 >= ne13 || i12 >= ne12) { return; } - int i03 = i13 / r3; - int i02 = i12 / r2; + int64_t i03 = i13 / r3; + int64_t i02 = i12 / r2; - ptrs_src[0*ne23 + i12 + i13*ne12] = (const char *) src0_as_f16 + i02*nb02 + i03*nb03; - ptrs_src[1*ne23 + i12 + i13*ne12] = (const char *) src1_as_f16 + i12*nb12/2 + i13*nb13/2; - ptrs_dst[0*ne23 + i12 + i13*ne12] = ( char *) dst_f16 + i12* nb2/2 + i13* nb3/2; + ptrs_src[0*ne23 + i12 + i13*ne12] = (const char *) src0_as_f16 + i02*nb02 + i03*nb03; + ptrs_src[1*ne23 + i12 + i13*ne12] = (const char *) src1_as_f16 + i12*nb12 + i13*nb13; + ptrs_dst[0*ne23 + i12 + i13*ne12] = ( char *) dst + i12*nbd2 + i13*nbd3; } static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { @@ -7461,39 +8504,19 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const GGML_ASSERT(src0->backend != GGML_BACKEND_GPU_SPLIT); GGML_ASSERT(src0->type == GGML_TYPE_F16); - GGML_ASSERT(src1->type == GGML_TYPE_F32); - - const int64_t ne00 = src0->ne[0]; GGML_UNUSED(ne00); - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; - const int64_t nb01 = src0->nb[1]; - const int64_t nb02 = src0->nb[2]; GGML_UNUSED(nb02); - const int64_t nb03 = src0->nb[3]; GGML_UNUSED(nb03); - - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - const int64_t ne12 = src1->ne[2]; - const int64_t ne13 = src1->ne[3]; - - const int64_t nb11 = src1->nb[1]; - const int64_t nb12 = src1->nb[2]; GGML_UNUSED(nb12); - const int64_t nb13 = src1->nb[3]; GGML_UNUSED(nb13); + GGML_TENSOR_BINARY_OP_LOCALS - const int64_t ne1 = ggml_nelements(src1); - const int64_t ne = ggml_nelements(dst); + const int64_t ne_dst = ggml_nelements(dst); - CUDA_CHECK(ggml_cuda_set_device(g_main_device)); + ggml_cuda_set_device(g_main_device); cudaStream_t main_stream = g_cudaStreams[g_main_device][0]; - int id; - CUDA_CHECK(cudaGetDevice(&id)); - CUBLAS_CHECK(cublasSetStream(g_cublas_handles[id], main_stream)); + CUBLAS_CHECK(cublasSetStream(g_cublas_handles[g_main_device], main_stream)); ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; void * src0_ddq = src0_extra->data_device[g_main_device]; - half * src0_as_f16 = (half *) src0_ddq; + half * src0_f16 = (half *) src0_ddq; ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra; float * src1_ddf = (float *) src1_extra->data_device[g_main_device]; @@ -7502,15 +8525,49 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const float * dst_ddf = (float *) dst_extra->data_device[g_main_device]; // convert src1 to fp16 - const to_fp16_cuda_t to_fp16_cuda = ggml_get_to_fp16_cuda(src1->type); - GGML_ASSERT(to_fp16_cuda != nullptr); + cuda_pool_alloc src1_f16_alloc; + if (src1->type != GGML_TYPE_F16) { + const to_fp16_cuda_t to_fp16_cuda = ggml_get_to_fp16_cuda(src1->type); + const int64_t ne_src1 = ggml_nelements(src1); + src1_f16_alloc.alloc(ne_src1); + GGML_ASSERT(to_fp16_cuda != nullptr); + to_fp16_cuda(src1_ddf, src1_f16_alloc.get(), ne_src1, main_stream); + } + half * src1_f16 = src1->type == GGML_TYPE_F16 ? (half *) src1_ddf : src1_f16_alloc.get(); - size_t src1_as = 0; - half * src1_as_f16 = (half *) ggml_cuda_pool_malloc(ne1 * sizeof(half), &src1_as); - to_fp16_cuda(src1_ddf, src1_as_f16, ne1, main_stream); + cuda_pool_alloc dst_f16; + char * dst_t; - size_t dst_as = 0; - half * dst_f16 = (half *) ggml_cuda_pool_malloc(ne * sizeof(half), &dst_as); + cublasComputeType_t cu_compute_type = CUBLAS_COMPUTE_16F; + cudaDataType_t cu_data_type = CUDA_R_16F; + + // dst strides + size_t nbd2 = dst->nb[2]; + size_t nbd3 = dst->nb[3]; + + const half alpha_f16 = 1.0f; + const half beta_f16 = 0.0f; + + const float alpha_f32 = 1.0f; + const float beta_f32 = 0.0f; + + const void * alpha = &alpha_f16; + const void * beta = &beta_f16; + + if (dst->op_params[0] == GGML_PREC_DEFAULT) { + dst_t = (char *) dst_f16.alloc(ne_dst); + + nbd2 /= sizeof(float) / sizeof(half); + nbd3 /= sizeof(float) / sizeof(half); + } else { + dst_t = (char *) dst_ddf; + + cu_compute_type = CUBLAS_COMPUTE_32F; + cu_data_type = CUDA_R_32F; + + alpha = &alpha_f32; + beta = &beta_f32; + } GGML_ASSERT(ne12 % ne02 == 0); GGML_ASSERT(ne13 % ne03 == 0); @@ -7519,9 +8576,6 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const const int64_t r2 = ne12/ne02; const int64_t r3 = ne13/ne03; - const half alpha_f16 = 1.0f; - const half beta_f16 = 0.0f; - #if 0 // use cublasGemmEx { @@ -7531,12 +8585,12 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const int i02 = i12 / r2; CUBLAS_CHECK( - cublasGemmEx(g_cublas_handles[id], CUBLAS_OP_T, CUBLAS_OP_N, + cublasGemmEx(g_cublas_handles[g_main_device], CUBLAS_OP_T, CUBLAS_OP_N, ne01, ne11, ne10, - &alpha_f16, (const char *) src0_as_f16 + i02*src0->nb[2] + i03*src0->nb[3] , CUDA_R_16F, nb01/sizeof(half), - (const char *) src1_as_f16 + i12*src1->nb[2]/2 + i13*src1->nb[3]/2, CUDA_R_16F, nb11/sizeof(float), - &beta_f16, ( char *) dst_f16 + i12* dst->nb[2]/2 + i13* dst->nb[3]/2, CUDA_R_16F, ne01, - CUBLAS_COMPUTE_16F, + alpha, (const char *) src0_as_f16 + i02*src0->nb[2] + i03*src0->nb[3] , CUDA_R_16F, nb01/sizeof(half), + (const char *) src1_as_f16 + i12*src1->nb[2]/2 + i13*src1->nb[3]/2, CUDA_R_16F, nb11/sizeof(float), + beta, ( char *) dst_t + i12*nbd2 + i13*nbd3, cu_data_type, ne01, + cu_compute_type, CUBLAS_GEMM_DEFAULT_TENSOR_OP)); } } @@ -7546,63 +8600,50 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const // there is no broadcast and src0, src1 are contiguous across dims 2, 3 // use cublasGemmStridedBatchedEx CUBLAS_CHECK( - cublasGemmStridedBatchedEx(g_cublas_handles[id], CUBLAS_OP_T, CUBLAS_OP_N, + cublasGemmStridedBatchedEx(g_cublas_handles[g_main_device], CUBLAS_OP_T, CUBLAS_OP_N, ne01, ne11, ne10, - &alpha_f16, (const char *) src0_as_f16, CUDA_R_16F, nb01/sizeof(half), src0->nb[2]/sizeof(half), // strideA - (const char *) src1_as_f16, CUDA_R_16F, nb11/sizeof(float), src1->nb[2]/sizeof(float), // strideB - &beta_f16, ( char *) dst_f16, CUDA_R_16F, ne01, dst->nb[2]/sizeof(float), // strideC + alpha, (const char *) src0_f16, CUDA_R_16F, nb01/nb00, nb02/nb00, // strideA + (const char *) src1_f16, CUDA_R_16F, nb11/nb10, nb12/nb10, // strideB + beta, ( char *) dst_t, cu_data_type, ne01, nb2/nb0, // strideC ne12*ne13, - CUBLAS_COMPUTE_16F, + cu_compute_type, CUBLAS_GEMM_DEFAULT_TENSOR_OP)); } else { // use cublasGemmBatchedEx const int ne23 = ne12*ne13; - const void ** ptrs_src = nullptr; - void ** ptrs_dst = nullptr; - - size_t ptrs_src_s = 0; - size_t ptrs_dst_s = 0; - - ptrs_src = (const void **) ggml_cuda_pool_malloc(2*ne23*sizeof(void *), &ptrs_src_s); - ptrs_dst = ( void **) ggml_cuda_pool_malloc(1*ne23*sizeof(void *), &ptrs_dst_s); + cuda_pool_alloc ptrs_src(2*ne23); + cuda_pool_alloc< void *> ptrs_dst(1*ne23); dim3 block_dims(ne13, ne12); k_compute_batched_ptrs<<<1, block_dims, 0, main_stream>>>( - src0_as_f16, src1_as_f16, dst_f16, - ptrs_src, ptrs_dst, + src0_f16, src1_f16, dst_t, + ptrs_src.get(), ptrs_dst.get(), ne12, ne13, ne23, nb02, nb03, - nb12, nb13, - dst->nb[2], dst->nb[3], + src1->type == GGML_TYPE_F16 ? nb12 : nb12/2, + src1->type == GGML_TYPE_F16 ? nb13 : nb13/2, + nbd2, nbd3, r2, r3); CUDA_CHECK(cudaGetLastError()); CUBLAS_CHECK( - cublasGemmBatchedEx(g_cublas_handles[id], CUBLAS_OP_T, CUBLAS_OP_N, + cublasGemmBatchedEx(g_cublas_handles[g_main_device], CUBLAS_OP_T, CUBLAS_OP_N, ne01, ne11, ne10, - &alpha_f16, (const void **) (ptrs_src + 0*ne23), CUDA_R_16F, nb01/sizeof(half), - (const void **) (ptrs_src + 1*ne23), CUDA_R_16F, nb11/sizeof(float), - &beta_f16, ( void **) (ptrs_dst + 0*ne23), CUDA_R_16F, ne01, + alpha, (const void **) (ptrs_src.get() + 0*ne23), CUDA_R_16F, nb01/nb00, + (const void **) (ptrs_src.get() + 1*ne23), CUDA_R_16F, nb11/nb10, + beta, ( void **) (ptrs_dst.get() + 0*ne23), cu_data_type, ne01, ne23, - CUBLAS_COMPUTE_16F, + cu_compute_type, CUBLAS_GEMM_DEFAULT_TENSOR_OP)); - - if (ptrs_src_s != 0) { - ggml_cuda_pool_free(ptrs_src, ptrs_src_s); - } - if (ptrs_dst_s != 0) { - ggml_cuda_pool_free(ptrs_dst, ptrs_dst_s); - } } #endif - const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16); - to_fp32_cuda(dst_f16, dst_ddf, ne, main_stream); - - ggml_cuda_pool_free(src1_as_f16, src1_as); - ggml_cuda_pool_free(dst_f16, dst_as); + if (dst->op_params[0] == GGML_PREC_DEFAULT) { + const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16); + to_fp32_cuda(dst_f16.get(), dst_ddf, ne_dst, main_stream); + } } static void ggml_cuda_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { @@ -7614,9 +8655,9 @@ static void ggml_cuda_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1 const bool split = src0->backend == GGML_BACKEND_GPU_SPLIT; int64_t min_compute_capability = INT_MAX; - for (int64_t id = 0; id < g_device_count; ++id) { - if (min_compute_capability > g_compute_capabilities[id] && g_tensor_split[id] < (id + 1 < g_device_count ? g_tensor_split[id + 1] : 1.0f)) { - min_compute_capability = g_compute_capabilities[id]; + for (int id = 0; id < g_device_count; ++id) { + if (min_compute_capability > g_device_caps[id].cc && g_tensor_split[id] < (id + 1 < g_device_count ? g_tensor_split[id + 1] : 1.0f)) { + min_compute_capability = g_device_caps[id].cc; } } @@ -7640,20 +8681,21 @@ static void ggml_cuda_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1 } else if (!split && all_on_device && !use_tensor_cores && src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) { // KQV single-batch ggml_cuda_mul_mat_vec_nc(src0, src1, dst); - } else if (!split && all_on_device && use_tensor_cores && src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32 && !ggml_is_transposed(src0) && !ggml_is_transposed(src1)) { + } else if (!split && all_on_device && use_tensor_cores && src0->type == GGML_TYPE_F16 && !ggml_is_transposed(src0) && !ggml_is_transposed(src1)) { // KQ + KQV multi-batch ggml_cuda_mul_mat_mat_batched_cublas(src0, src1, dst); } else if (src0->type == GGML_TYPE_F32) { ggml_cuda_op_mul_mat(src0, src1, dst, ggml_cuda_op_mul_mat_cublas, false); } else if (ggml_is_quantized(src0->type) || src0->type == GGML_TYPE_F16) { - if (src1->ne[1] == 1 && src0->ne[0] % GGML_CUDA_DMMV_X == 0) { + if (src1->ne[1] == 1 && src0->ne[0] % GGML_CUDA_DMMV_X == 0 && src1->type == GGML_TYPE_F32) { #ifdef GGML_CUDA_FORCE_DMMV const bool use_mul_mat_vec_q = false; #else - const bool use_mul_mat_vec_q = min_compute_capability >= MIN_CC_DP4A && ggml_is_quantized(src0->type); + const bool use_mul_mat_vec_q = min_compute_capability >= MIN_CC_DP4A && ggml_is_quantized(src0->type) && ggml_nrows(src1) == 1; #endif // GGML_CUDA_FORCE_DMMV if (use_mul_mat_vec_q) { + // NOTE: this kernel does not support ggml_nrows(src1) > 1 ggml_cuda_op_mul_mat(src0, src1, dst, ggml_cuda_op_mul_mat_vec_q, true); } else { ggml_cuda_op_mul_mat(src0, src1, dst, ggml_cuda_op_dequantize_mul_mat_vec, false); @@ -7667,14 +8709,332 @@ static void ggml_cuda_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1 use_mul_mat_q = false; } - if (use_mul_mat_q) { - ggml_cuda_op_mul_mat(src0, src1, dst, ggml_cuda_op_mul_mat_q, true); - } else { - ggml_cuda_op_mul_mat(src0, src1, dst, ggml_cuda_op_mul_mat_cublas, false); + if (use_mul_mat_q) { + ggml_cuda_op_mul_mat(src0, src1, dst, ggml_cuda_op_mul_mat_q, true); + } else { + ggml_cuda_op_mul_mat(src0, src1, dst, ggml_cuda_op_mul_mat_cublas, false); + } + } + } else { + GGML_ASSERT(false); + } +} + +#if 0 +template +static __global__ void k_compute_batched_ptrs_id( + const void ** ptrs_src, void ** ptrs_dst, + int ne12, int ne13, + int ne23, + int nb02, int nb03, + int nb12, int nb13, + int nb2, int nb3, + int r2, int r3, + ggml_type src0_type, half * src0_as_f16, int64_t src0_ne, + const half * src1_f16, half * dst_f16, + const int32_t * ids, const int id, + Srcs... src0s) { + + int i = ids[id]; + + half * src0_f16; + const void * srcs_ar[] = { (const half *) src0s... }; + if (src0_type == GGML_TYPE_F16) { + src0_f16 = (half *) srcs_ar[i]; + } else { + src0_f16 = src0_as_f16; + if (threadIdx.x == 0 && threadIdx.y == 0) { + const to_fp16_cuda_t to_fp16 = ggml_get_to_fp16_cuda(src0_type); + to_fp16(srcs_ar[i], src0_f16, src0_ne, cudaStreamFireAndForget); + } + } + + int i13 = blockIdx.x * blockDim.x + threadIdx.x; + int i12 = blockIdx.y * blockDim.y + threadIdx.y; + + if (i13 >= ne13 || i12 >= ne12) { + return; + } + + int i03 = i13 / r3; + int i02 = i12 / r2; + + ptrs_src[0*ne23 + i12 + i13*ne12] = (const char *) src0_f16 + i02*nb02 + i03*nb03; + ptrs_src[1*ne23 + i12 + i13*ne12] = (const char *) src1_f16 + i12*nb12/2 + i13*nb13/2; + ptrs_dst[0*ne23 + i12 + i13*ne12] = ( char *) dst_f16 + i12* nb2/2 + i13* nb3/2; +} + +static void ggml_cuda_mul_mat_id_cublas(ggml_tensor * dst) { + const struct ggml_tensor * ids = dst->src[0]; + const struct ggml_tensor * src1 = dst->src[1]; + const struct ggml_tensor * src00 = dst->src[2]; + + const int id = dst->op_params[0]; + + GGML_ASSERT(!ggml_is_transposed(src00)); + GGML_ASSERT(!ggml_is_transposed(src1)); + + GGML_ASSERT(src00->backend != GGML_BACKEND_GPU_SPLIT); + GGML_ASSERT(src1->type == GGML_TYPE_F32); + + const int64_t ne00 = src00->ne[0]; GGML_UNUSED(ne00); + const int64_t ne01 = src00->ne[1]; + const int64_t ne02 = src00->ne[2]; + const int64_t ne03 = src00->ne[3]; + + //const int64_t nb01 = src00->nb[1]; + const int64_t nb02 = src00->nb[2]; GGML_UNUSED(nb02); + const int64_t nb03 = src00->nb[3]; GGML_UNUSED(nb03); + + const int64_t ne10 = src1->ne[0]; + const int64_t ne11 = src1->ne[1]; + const int64_t ne12 = src1->ne[2]; + const int64_t ne13 = src1->ne[3]; + + //const int64_t nb11 = src1->nb[1]; + const int64_t nb12 = src1->nb[2]; GGML_UNUSED(nb12); + const int64_t nb13 = src1->nb[3]; GGML_UNUSED(nb13); + + const int64_t ne1 = ggml_nelements(src1); + const int64_t ne = ggml_nelements(dst); + + ggml_cuda_set_device(g_main_device); + cudaStream_t main_stream = g_cudaStreams[g_main_device][0]; + + CUBLAS_CHECK(cublasSetStream(g_cublas_handles[g_main_device], main_stream)); + + //ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; + //void * src0_ddq = src0_extra->data_device[g_main_device]; + //half * src0_as_f16 = (half *) src0_ddq; + + ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra; + float * src1_ddf = (float *) src1_extra->data_device[g_main_device]; + + ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; + float * dst_ddf = (float *) dst_extra->data_device[g_main_device]; + + // convert src1 to fp16 + const to_fp16_cuda_t to_fp16_cuda = ggml_get_to_fp16_cuda(src1->type); + GGML_ASSERT(to_fp16_cuda != nullptr); + + size_t src1_as = 0; + half * src1_as_f16 = (half *) ggml_cuda_pool_malloc(ne1 * sizeof(half), &src1_as); + to_fp16_cuda(src1_ddf, src1_as_f16, ne1, main_stream); + + size_t dst_as = 0; + half * dst_f16 = (half *) ggml_cuda_pool_malloc(ne * sizeof(half), &dst_as); + + GGML_ASSERT(ne12 % ne02 == 0); + GGML_ASSERT(ne13 % ne03 == 0); + + // broadcast factors + const int64_t r2 = ne12/ne02; + const int64_t r3 = ne13/ne03; + + const half alpha_f16 = 1.0f; + const half beta_f16 = 0.0f; + + // use cublasGemmBatchedEx + const int ne23 = ne12*ne13; + + const void ** ptrs_src = nullptr; + void ** ptrs_dst = nullptr; + + size_t ptrs_src_s = 0; + size_t ptrs_dst_s = 0; + + ptrs_src = (const void **) ggml_cuda_pool_malloc(2*ne23*sizeof(void *), &ptrs_src_s); + ptrs_dst = ( void **) ggml_cuda_pool_malloc(1*ne23*sizeof(void *), &ptrs_dst_s); + + int64_t src0_ne = ggml_nelements(src00); + half * src0_as_f16 = nullptr; + size_t src0_as = 0; + if (src00->type != GGML_TYPE_F16) { + src0_as_f16 = (half *) ggml_cuda_pool_malloc(src0_ne * sizeof(half), &src0_as); + } + + static_assert(GGML_MAX_SRC == 6, "GGML_MAX_SRC == 6"); + dim3 block_dims(ne13, ne12); + k_compute_batched_ptrs_id<<<1, block_dims, 0, main_stream>>>( + ptrs_src, ptrs_dst, + ne12, ne13, + ne23, + ne00*ne01*sizeof(half), ne00*ne01*ne02*sizeof(half), + nb12, nb13, + dst->nb[2], dst->nb[3], + r2, r3, + src00->type, src0_as_f16, src0_ne, + src1_as_f16, dst_f16, + (const int *)((ggml_tensor_extra_gpu *)ids->extra)->data_device[g_main_device], id, + dst->src[2] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[2]->extra)->data_device[g_main_device] : nullptr, + dst->src[3] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[3]->extra)->data_device[g_main_device] : nullptr, + dst->src[4] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[4]->extra)->data_device[g_main_device] : nullptr, + dst->src[5] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[5]->extra)->data_device[g_main_device] : nullptr + ); + CUDA_CHECK(cudaGetLastError()); + + CUBLAS_CHECK( + cublasGemmBatchedEx(g_cublas_handles[g_main_device], CUBLAS_OP_T, CUBLAS_OP_N, + ne01, ne11, ne10, + &alpha_f16, (const void **) (ptrs_src + 0*ne23), CUDA_R_16F, ne00, + (const void **) (ptrs_src + 1*ne23), CUDA_R_16F, ne10, + &beta_f16, ( void **) (ptrs_dst + 0*ne23), CUDA_R_16F, ne01, + ne23, + CUBLAS_COMPUTE_16F, + CUBLAS_GEMM_DEFAULT_TENSOR_OP)); + + if (src0_as != 0) { + ggml_cuda_pool_free(src0_as_f16, src0_as); + } + if (ptrs_src_s != 0) { + ggml_cuda_pool_free(ptrs_src, ptrs_src_s); + } + if (ptrs_dst_s != 0) { + ggml_cuda_pool_free(ptrs_dst, ptrs_dst_s); + } + + const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16); + to_fp32_cuda(dst_f16, dst_ddf, ne, main_stream); + + ggml_cuda_pool_free(src1_as_f16, src1_as); + ggml_cuda_pool_free(dst_f16, dst_as); +} +#endif + +static void ggml_cuda_mul_mat_id(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +#if 0 + ggml_cuda_mul_mat_id_cublas(dst); + // TODO: mmq/mmv support +#endif + + const int64_t nb11 = src1->nb[1]; + const int64_t nb1 = dst->nb[1]; + + const struct ggml_tensor * ids = src0; + const int32_t id = ((int32_t *) dst->op_params)[0]; + const int32_t n_as = ((int32_t *) dst->op_params)[1]; + + std::vector ids_host(ggml_nbytes(ids)); + + cudaStream_t stream = g_cudaStreams[g_main_device][0]; + + if (ids->backend == GGML_BACKEND_GPU) { + const char * ids_dev = (const char *)((const ggml_tensor_extra_gpu *)ids->extra)->data_device[g_main_device]; + CUDA_CHECK(cudaMemcpyAsync(ids_host.data(), ids_dev, ggml_nbytes(ids), cudaMemcpyDeviceToHost, stream)); + CUDA_CHECK(cudaStreamSynchronize(stream)); + } else { + memcpy(ids_host.data(), ids->data, ggml_nbytes(ids)); + } + + const ggml_tensor_extra_gpu * src1_extra = (const ggml_tensor_extra_gpu *) src1->extra; + const ggml_tensor_extra_gpu * dst_extra = (const ggml_tensor_extra_gpu *) dst->extra; + + ggml_tensor_extra_gpu src1_row_extra; + ggml_tensor_extra_gpu dst_row_extra; + + ggml_tensor src1_row = *src1; + ggml_tensor dst_row = *dst; + + src1_row.backend = GGML_BACKEND_GPU; + dst_row.backend = GGML_BACKEND_GPU; + + src1_row.extra = &src1_row_extra; + dst_row.extra = &dst_row_extra; + + char * src1_original = src1->backend == GGML_BACKEND_CPU ? + (char *) src1->data : (char *) src1_extra->data_device[g_main_device]; + char * dst_original = dst->backend == GGML_BACKEND_CPU ? + (char *) dst->data : (char *) dst_extra->data_device[g_main_device]; + + if (src1->ne[1] == 1) { + GGML_ASSERT(src1->backend == GGML_BACKEND_GPU); + GGML_ASSERT(dst->backend == GGML_BACKEND_GPU); + + for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) { + //int32_t row_id; + //CUDA_CHECK(cudaMemcpyAsync(&row_id, ids_dev + i01*ids->nb[1] + id*ids->nb[0], sizeof(int32_t), cudaMemcpyDeviceToHost, g_cudaStreams[g_main_device][0])); + //CUDA_CHECK(cudaStreamSynchronize(g_cudaStreams[g_main_device][0])); + + const int32_t row_id = *(const int32_t *) (ids_host.data() + i01*ids->nb[1] + id*ids->nb[0]); + + GGML_ASSERT(row_id >= 0 && row_id < n_as); + + const struct ggml_tensor * src0_row = dst->src[row_id + 2]; + + src1_row_extra.data_device[g_main_device] = src1_original + i01*src1->nb[1]; + src1_row.data = (char *) src1->data + i01*src1->nb[1]; // TODO why is this set? + + dst_row_extra.data_device[g_main_device] = dst_original + i01*dst->nb[1]; + dst_row.data = (char *) dst->data + i01*dst->nb[1]; // TODO why is this set? + + ggml_cuda_mul_mat(src0_row, &src1_row, &dst_row); + } + } else { + cuda_pool_alloc src1_contiguous(sizeof(float)*ggml_nelements(src1)); + cuda_pool_alloc dst_contiguous(sizeof(float)*ggml_nelements(dst)); + + src1_row_extra.data_device[g_main_device] = src1_contiguous.get(); + dst_row_extra.data_device[g_main_device] = dst_contiguous.get(); + + const cudaMemcpyKind src1_kind = src1->backend == GGML_BACKEND_CPU ? + cudaMemcpyHostToDevice : cudaMemcpyDeviceToDevice; + const cudaMemcpyKind dst_kind = dst->backend == GGML_BACKEND_CPU ? + cudaMemcpyDeviceToHost : cudaMemcpyDeviceToDevice; + + for (int32_t row_id = 0; row_id < n_as; ++row_id) { + const struct ggml_tensor * src0_row = dst->src[row_id + 2]; + + int64_t num_src1_rows = 0; + for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) { + const int32_t row_id_i = *(const int32_t *) (ids_host.data() + i01*ids->nb[1] + id*ids->nb[0]); + + if (row_id_i != row_id) { + continue; + } + + GGML_ASSERT(row_id >= 0 && row_id < n_as); + + CUDA_CHECK(cudaMemcpyAsync(src1_contiguous.get() + num_src1_rows*nb11, src1_original + i01*nb11, + nb11, src1_kind, stream)); + num_src1_rows++; + } + + if (num_src1_rows == 0) { + continue; + } + + src1_row.ne[1] = num_src1_rows; + dst_row.ne[1] = num_src1_rows; + + src1_row.nb[1] = nb11; + src1_row.nb[2] = num_src1_rows*nb11; + src1_row.nb[3] = num_src1_rows*nb11; + + dst_row.nb[1] = nb1; + dst_row.nb[2] = num_src1_rows*nb1; + dst_row.nb[3] = num_src1_rows*nb1; + + ggml_cuda_mul_mat(src0_row, &src1_row, &dst_row); + + num_src1_rows = 0; + for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) { + const int32_t row_id_i = *(const int32_t *) (ids_host.data() + i01*ids->nb[1] + id*ids->nb[0]); + + if (row_id_i != row_id) { + continue; + } + + GGML_ASSERT(row_id >= 0 && row_id < n_as); + + CUDA_CHECK(cudaMemcpyAsync(dst_original + i01*nb1, dst_contiguous.get() + num_src1_rows*nb1, + nb1, dst_kind, stream)); + num_src1_rows++; } } - } else { - GGML_ASSERT(false); + } + + if (dst->backend == GGML_BACKEND_CPU) { + CUDA_CHECK(cudaStreamSynchronize(stream)); } } @@ -7712,7 +9072,7 @@ static void ggml_cuda_cpy(const ggml_tensor * src0, const ggml_tensor * src1, gg const int64_t nb11 = src1->nb[1]; const int64_t nb12 = src1->nb[2]; - CUDA_CHECK(ggml_cuda_set_device(g_main_device)); + ggml_cuda_set_device(g_main_device); cudaStream_t main_stream = g_cudaStreams[g_main_device][0]; const ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; @@ -7722,14 +9082,17 @@ static void ggml_cuda_cpy(const ggml_tensor * src0, const ggml_tensor * src1, gg char * src1_ddc = (char *) src1_extra->data_device[g_main_device]; if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32) { - ggml_cpy_f32_f32_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02, - ne10, ne11, nb10, nb11, nb12, main_stream); + ggml_cpy_f32_f32_cuda (src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12, main_stream); } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F16) { - ggml_cpy_f32_f16_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02, - ne10, ne11, nb10, nb11, nb12, main_stream); + ggml_cpy_f32_f16_cuda (src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12, main_stream); + } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q8_0) { + ggml_cpy_f32_q8_0_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12, main_stream); + } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q4_0) { + ggml_cpy_f32_q4_0_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12, main_stream); + } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q4_1) { + ggml_cpy_f32_q4_1_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12, main_stream); } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F16) { - ggml_cpy_f16_f16_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02, - ne10, ne11, nb10, nb11, nb12, main_stream); + ggml_cpy_f16_f16_cuda (src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12, main_stream); } else { fprintf(stderr, "%s: unsupported type combination (%s to %s)\n", __func__, ggml_type_name(src0->type), ggml_type_name(src1->type)); @@ -7740,6 +9103,7 @@ static void ggml_cuda_cpy(const ggml_tensor * src0, const ggml_tensor * src1, gg } static void ggml_cuda_dup(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + // TODO: why do we pass dst as src1 here? ggml_cuda_cpy(src0, dst, nullptr); (void) src1; } @@ -7765,12 +9129,28 @@ static void ggml_cuda_im2col(const ggml_tensor * src0, const ggml_tensor * src1, ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_im2col); } +static void ggml_cuda_sum_rows(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + GGML_ASSERT(ggml_is_contiguous(src0)); + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_sum_rows); +} + +static void ggml_cuda_argsort(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + GGML_ASSERT(ggml_is_contiguous(src0)); + ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_argsort); +} + static void ggml_cuda_nop(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { (void) src0; (void) src1; (void) dst; } +static size_t ggml_nbytes_split(const struct ggml_tensor * tensor, int nrows_split) { + static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function"); + + return nrows_split*ggml_row_size(tensor->type, tensor->ne[0]); +} + void ggml_cuda_transform_tensor(void * data, struct ggml_tensor * tensor) { const int64_t nrows = ggml_nrows(tensor); @@ -7782,7 +9162,7 @@ void ggml_cuda_transform_tensor(void * data, struct ggml_tensor * tensor) { ggml_tensor_extra_gpu * extra = new struct ggml_tensor_extra_gpu; memset(extra, 0, sizeof(*extra)); - for (int64_t id = 0; id < g_device_count; ++id) { + for (int id = 0; id < g_device_count; ++id) { if (backend == GGML_BACKEND_GPU && id != g_main_device) { continue; } @@ -7820,13 +9200,12 @@ void ggml_cuda_transform_tensor(void * data, struct ggml_tensor * tensor) { // pad last row to a multiple of 512 elements to avoid out-of-bounds memory accesses if (ne0 % MATRIX_ROW_PADDING != 0) { - size += (MATRIX_ROW_PADDING - ne0 % MATRIX_ROW_PADDING) - * ggml_type_size(tensor->type)/ggml_blck_size(tensor->type); + size += ggml_row_size(tensor->type, MATRIX_ROW_PADDING - ne0 % MATRIX_ROW_PADDING); } char * buf; CUDA_CHECK(cudaMalloc(&buf, size)); - char * buf_host = (char*)data + offset_split; + char * buf_host = (char *)data + offset_split; // set padding to 0 to avoid possible NaN values if (size > original_size) { @@ -7848,21 +9227,20 @@ void ggml_cuda_transform_tensor(void * data, struct ggml_tensor * tensor) { } void ggml_cuda_free_data(struct ggml_tensor * tensor) { - if (!tensor || (tensor->backend != GGML_BACKEND_GPU && tensor->backend != GGML_BACKEND_GPU_SPLIT) ) { + if (!tensor || !tensor->extra || (tensor->backend != GGML_BACKEND_GPU && tensor->backend != GGML_BACKEND_GPU_SPLIT) ) { return; } ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - for (int64_t id = 0; id < g_device_count; ++id) { + for (int id = 0; id < g_device_count; ++id) { + ggml_cuda_set_device(id); if (extra->data_device[id] != nullptr) { - CUDA_CHECK(ggml_cuda_set_device(id)); CUDA_CHECK(cudaFree(extra->data_device[id])); } for (int64_t is = 0; is < MAX_STREAMS; ++is) { if (extra->events[id][is] != nullptr) { - CUDA_CHECK(ggml_cuda_set_device(id)); CUDA_CHECK(cudaEventDestroy(extra->events[id][is])); } } @@ -7916,7 +9294,7 @@ static void ggml_cuda_assign_buffers_impl(struct ggml_tensor * tensor, bool scra force_inplace; const size_t size = ggml_nbytes(tensor); - CUDA_CHECK(ggml_cuda_set_device(g_main_device)); + ggml_cuda_set_device(g_main_device); if (inplace && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) { ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu * ) tensor->src[0]->extra; char * src0_ddc = (char *) src0_extra->data_device[g_main_device]; @@ -7971,11 +9349,10 @@ void ggml_cuda_assign_scratch_offset(struct ggml_tensor * tensor, size_t offset) ggml_tensor_extra_gpu * extra = ggml_cuda_alloc_temp_tensor_extra(); - const bool inplace = (tensor->src[0] != nullptr && tensor->src[0]->data == tensor->data) || - tensor->op == GGML_OP_VIEW; + const bool inplace = tensor->view_src != nullptr; - if (inplace && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) { - ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu * ) tensor->src[0]->extra; + if (inplace && (tensor->view_src->backend == GGML_BACKEND_GPU || tensor->view_src->backend == GGML_BACKEND_GPU_SPLIT)) { + ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu * ) tensor->view_src->extra; char * src0_ddc = (char *) src0_extra->data_device[g_main_device]; size_t view_offset = 0; if (tensor->op == GGML_OP_VIEW) { @@ -7994,7 +9371,7 @@ void ggml_cuda_copy_to_device(struct ggml_tensor * tensor) { GGML_ASSERT(ggml_is_contiguous(tensor)); ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - CUDA_CHECK(ggml_cuda_set_device(g_main_device)); + ggml_cuda_set_device(g_main_device); CUDA_CHECK(cudaMemcpy(extra->data_device[g_main_device], tensor->data, ggml_nbytes(tensor), cudaMemcpyHostToDevice)); } @@ -8020,8 +9397,9 @@ void ggml_cuda_set_main_device(const int main_device) { main_device, g_device_count, g_main_device); return; } - g_main_device = main_device; - if (g_device_count > 1) { + + if (g_main_device != main_device && g_device_count > 1) { + g_main_device = main_device; cudaDeviceProp prop; CUDA_CHECK(cudaGetDeviceProperties(&prop, g_main_device)); fprintf(stderr, "%s: using device %d (%s) as main device\n", __func__, g_main_device, prop.name); @@ -8047,21 +9425,21 @@ void ggml_cuda_free_scratch() { } bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor) { - if (!g_cublas_loaded) { return false; } + if (!g_cublas_loaded) return false; ggml_cuda_func_t func; const bool any_on_device = tensor->backend == GGML_BACKEND_GPU || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_GPU); - if (!any_on_device && tensor->op != GGML_OP_MUL_MAT) { + if (!any_on_device && tensor->op != GGML_OP_MUL_MAT && tensor->op != GGML_OP_MUL_MAT_ID) { return false; } if (tensor->op == GGML_OP_MUL_MAT) { if (tensor->src[0]->ne[3] != tensor->src[1]->ne[3]) { #ifndef NDEBUG - fprintf(stderr, "%s: cannot compute %s: src0->ne[3] = " PRId64 ", src1->ne[3] = " PRId64 " - fallback to CPU\n", __func__, tensor->name, tensor->src[0]->ne[3], tensor->src[1]->ne[3]); + fprintf(stderr, "%s: cannot compute %s: src0->ne[3] = %" PRId64 ", src1->ne[3] = %" PRId64 " - fallback to CPU\n", __func__, tensor->name, tensor->src[0]->ne[3], tensor->src[1]->ne[3]); #endif return false; } @@ -8080,9 +9458,15 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_ case GGML_OP_ADD: func = ggml_cuda_add; break; + case GGML_OP_ACC: + func = ggml_cuda_acc; + break; case GGML_OP_MUL: func = ggml_cuda_mul; break; + case GGML_OP_DIV: + func = ggml_cuda_div; + break; case GGML_OP_UNARY: switch (ggml_get_unary_op(tensor)) { case GGML_UNARY_OP_GELU: @@ -8091,15 +9475,37 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_ case GGML_UNARY_OP_SILU: func = ggml_cuda_silu; break; + case GGML_UNARY_OP_GELU_QUICK: + func = ggml_cuda_gelu_quick; + break; + case GGML_UNARY_OP_TANH: + func = ggml_cuda_tanh; + break; case GGML_UNARY_OP_RELU: func = ggml_cuda_relu; break; default: return false; - } break; + } + break; case GGML_OP_NORM: func = ggml_cuda_norm; break; + case GGML_OP_GROUP_NORM: + func = ggml_cuda_group_norm; + break; + case GGML_OP_CONCAT: + func = ggml_cuda_concat; + break; + case GGML_OP_UPSCALE: + func = ggml_cuda_upscale; + break; + case GGML_OP_PAD: + func = ggml_cuda_pad; + break; + case GGML_OP_LEAKY_RELU: + func = ggml_cuda_leaky_relu; + break; case GGML_OP_RMS_NORM: func = ggml_cuda_rms_norm; break; @@ -8109,6 +9515,12 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_ } func = ggml_cuda_mul_mat; break; + case GGML_OP_MUL_MAT_ID: + if (!any_on_device && !ggml_cuda_can_mul_mat(tensor->src[2], tensor->src[1], tensor)) { + return false; + } + func = ggml_cuda_mul_mat_id; + break; case GGML_OP_SCALE: func = ggml_cuda_scale; break; @@ -8116,9 +9528,6 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_ func = ggml_cuda_sqr; break; case GGML_OP_CLAMP: - if (!any_on_device) { - return false; - } func = ggml_cuda_clamp; break; case GGML_OP_CPY: @@ -8127,6 +9536,7 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_ case GGML_OP_CONT: func = ggml_cuda_dup; break; + case GGML_OP_NONE: case GGML_OP_RESHAPE: case GGML_OP_VIEW: case GGML_OP_PERMUTE: @@ -8148,10 +9558,20 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_ case GGML_OP_IM2COL: func = ggml_cuda_im2col; break; + case GGML_OP_SUM_ROWS: + func = ggml_cuda_sum_rows; + break; + case GGML_OP_ARGSORT: + func = ggml_cuda_argsort; + break; default: return false; } + if (tensor->src[0] != nullptr && tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT) { + ggml_cuda_set_peer_access(tensor->src[1]->ne[1]); + } + if (params->ith != 0) { return true; } @@ -8164,7 +9584,9 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_ int ggml_cuda_get_device_count() { int device_count; - CUDA_CHECK(cudaGetDeviceCount(&device_count)); + if (cudaGetDeviceCount(&device_count) != cudaSuccess) { + return 0; + } return device_count; } @@ -8180,27 +9602,16 @@ void ggml_cuda_get_device_description(int device, char * description, size_t des #define UNUSED GGML_UNUSED -struct ggml_backend_context_cuda { -}; - -static const char * ggml_backend_cuda_name(ggml_backend_t backend) { - return GGML_CUDA_NAME; - - UNUSED(backend); -} - -static void ggml_backend_cuda_free(ggml_backend_t backend) { - ggml_backend_context_cuda * cuda_ctx = (ggml_backend_context_cuda *)backend->context; - delete cuda_ctx; - delete backend; -} +// cuda buffer struct ggml_backend_buffer_context_cuda { - void * device; - + int device; + void * dev_ptr = nullptr; ggml_tensor_extra_gpu * temp_tensor_extras = nullptr; size_t temp_tensor_extra_index = 0; + ggml_backend_buffer_context_cuda(int device, void * dev_ptr) : device(device), dev_ptr(dev_ptr) {} + ~ggml_backend_buffer_context_cuda() { delete[] temp_tensor_extras; } @@ -8221,41 +9632,20 @@ struct ggml_backend_buffer_context_cuda { static void ggml_backend_cuda_buffer_free_buffer(ggml_backend_buffer_t buffer) { ggml_backend_buffer_context_cuda * ctx = (ggml_backend_buffer_context_cuda *)buffer->context; - CUDA_CHECK(cudaFree(ctx->device)); + CUDA_CHECK(cudaFree(ctx->dev_ptr)); delete ctx; } static void * ggml_backend_cuda_buffer_get_base(ggml_backend_buffer_t buffer) { ggml_backend_buffer_context_cuda * ctx = (ggml_backend_buffer_context_cuda *)buffer->context; - return ctx->device; -} - -static size_t ggml_backend_cuda_buffer_get_alloc_size(ggml_backend_buffer_t buffer, ggml_tensor * tensor) { - int64_t row_low = 0; - int64_t row_high = ggml_nrows(tensor); - int64_t nrows_split = row_high - row_low; - - size_t size = ggml_nbytes_split(tensor, nrows_split); - - int64_t ne0 = tensor->ne[0]; - - if (ggml_is_quantized(tensor->type)) { - if (ne0 % MATRIX_ROW_PADDING != 0) { - size += (MATRIX_ROW_PADDING - ne0 % MATRIX_ROW_PADDING) - * ggml_type_size(tensor->type)/ggml_blck_size(tensor->type); - } - } - - return size; - - UNUSED(buffer); + return ctx->dev_ptr; } static void ggml_backend_cuda_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) { ggml_backend_buffer_context_cuda * ctx = (ggml_backend_buffer_context_cuda *)buffer->context; if (tensor->view_src != NULL && tensor->view_offs == 0) { - assert(tensor->view_src->buffer->backend == buffer->backend); + assert(tensor->view_src->buffer->buft == buffer->buft); tensor->backend = tensor->view_src->backend; tensor->extra = tensor->view_src->extra; return; @@ -8263,7 +9653,7 @@ static void ggml_backend_cuda_buffer_init_tensor(ggml_backend_buffer_t buffer, g ggml_tensor_extra_gpu * extra = ctx->ggml_cuda_alloc_temp_tensor_extra(); - extra->data_device[g_main_device] = tensor->data; + extra->data_device[ctx->device] = tensor->data; tensor->backend = GGML_BACKEND_GPU; tensor->extra = extra; @@ -8275,64 +9665,217 @@ static void ggml_backend_cuda_buffer_init_tensor(ggml_backend_buffer_t buffer, g int64_t nrows_split = row_high - row_low; size_t original_size = ggml_nbytes_split(tensor, nrows_split); - size_t padded_size = ggml_backend_cuda_buffer_get_alloc_size(tensor->buffer, tensor); + size_t padded_size = ggml_backend_buft_get_alloc_size(buffer->buft, tensor); if (padded_size > original_size && tensor->view_src == nullptr) { - CUDA_CHECK(cudaMemsetAsync((char *)tensor->data + original_size, 0, padded_size - original_size, g_cudaStreams[g_main_device][0])); + CUDA_CHECK(cudaMemsetAsync((char *)tensor->data + original_size, 0, padded_size - original_size, g_cudaStreams[ctx->device][0])); } } UNUSED(buffer); } +static void ggml_backend_cuda_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { + GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); + + ggml_backend_buffer_context_cuda * ctx = (ggml_backend_buffer_context_cuda *)buffer->context; + + ggml_cuda_set_device(ctx->device); + CUDA_CHECK(cudaDeviceSynchronize()); + + CUDA_CHECK(cudaMemcpy((char *)tensor->data + offset, data, size, cudaMemcpyHostToDevice)); +} + +static void ggml_backend_cuda_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { + GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); + + ggml_backend_buffer_context_cuda * ctx = (ggml_backend_buffer_context_cuda *)buffer->context; + + ggml_cuda_set_device(ctx->device); + CUDA_CHECK(cudaDeviceSynchronize()); + + CUDA_CHECK(cudaMemcpy(data, (const char *)tensor->data + offset, size, cudaMemcpyDeviceToHost)); +} + +static void ggml_backend_cuda_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { + ggml_backend_buffer_context_cuda * ctx = (ggml_backend_buffer_context_cuda *)buffer->context; + + ggml_cuda_set_device(ctx->device); + CUDA_CHECK(cudaDeviceSynchronize()); + + CUDA_CHECK(cudaMemset(ctx->dev_ptr, value, buffer->size)); +} + static struct ggml_backend_buffer_i cuda_backend_buffer_interface = { - /* .free_buffer = */ ggml_backend_cuda_buffer_free_buffer, - /* .get_base = */ ggml_backend_cuda_buffer_get_base, - /* .get_alloc_size = */ ggml_backend_cuda_buffer_get_alloc_size, - /* .init_tensor = */ ggml_backend_cuda_buffer_init_tensor, - /* .free_tensor = */ NULL, + /* .free_buffer = */ ggml_backend_cuda_buffer_free_buffer, + /* .get_base = */ ggml_backend_cuda_buffer_get_base, + /* .init_tensor = */ ggml_backend_cuda_buffer_init_tensor, + /* .set_tensor = */ ggml_backend_cuda_buffer_set_tensor, + /* .get_tensor = */ ggml_backend_cuda_buffer_get_tensor, + /* .cpy_tensor_from = */ NULL, + /* .cpy_tensor_to = */ NULL, + /* .clear = */ ggml_backend_cuda_buffer_clear, }; -static ggml_backend_buffer_t ggml_backend_cuda_alloc_buffer(ggml_backend_t backend, size_t size) { - ggml_cuda_set_device(g_main_device); +// cuda buffer type - ggml_backend_buffer_context_cuda * ctx = new ggml_backend_buffer_context_cuda; +static ggml_backend_buffer_t ggml_backend_cuda_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { + int device = (int) (intptr_t) buft->context; + + ggml_cuda_set_device(device); size = std::max(size, (size_t)1); // cudaMalloc returns null for size 0 - ggml_cuda_set_device(g_main_device); - CUDA_CHECK(cudaMalloc(&ctx->device, size)); + void * dev_ptr; + CUDA_CHECK(cudaMalloc(&dev_ptr, size)); - return ggml_backend_buffer_init(backend, cuda_backend_buffer_interface, ctx, size); + ggml_backend_buffer_context_cuda * ctx = new ggml_backend_buffer_context_cuda(device, dev_ptr); + + return ggml_backend_buffer_init(buft, cuda_backend_buffer_interface, ctx, size); } -static size_t ggml_backend_cuda_get_alignment(ggml_backend_t backend) { +static size_t ggml_backend_cuda_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) { return 128; + + UNUSED(buft); +} + +static size_t ggml_backend_cuda_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, ggml_tensor * tensor) { + int64_t row_low = 0; + int64_t row_high = ggml_nrows(tensor); + int64_t nrows_split = row_high - row_low; + + size_t size = ggml_nbytes_split(tensor, nrows_split); + + int64_t ne0 = tensor->ne[0]; + + if (ggml_is_quantized(tensor->type)) { + if (ne0 % MATRIX_ROW_PADDING != 0) { + size += ggml_row_size(tensor->type, MATRIX_ROW_PADDING - ne0 % MATRIX_ROW_PADDING); + } + } + + return size; + + UNUSED(buft); +} + +static bool ggml_backend_cuda_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) { + return ggml_backend_is_cuda(backend); + + UNUSED(buft); +} + +static ggml_backend_buffer_type_i ggml_backend_cuda_buffer_type_interface = { + /* .alloc_buffer = */ ggml_backend_cuda_buffer_type_alloc_buffer, + /* .get_alignment = */ ggml_backend_cuda_buffer_type_get_alignment, + /* .get_alloc_size = */ ggml_backend_cuda_buffer_type_get_alloc_size, + /* .supports_backend = */ ggml_backend_cuda_buffer_type_supports_backend, + /* .is_host = */ nullptr, +}; + +ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int device) { + static struct ggml_backend_buffer_type ggml_backend_cuda_buffer_types[GGML_CUDA_MAX_DEVICES]; + + static bool ggml_backend_cuda_buffer_type_initialized = false; + + if (!ggml_backend_cuda_buffer_type_initialized) { + for (int i = 0; i < GGML_CUDA_MAX_DEVICES; i++) { + ggml_backend_cuda_buffer_types[i] = { + /* .iface = */ ggml_backend_cuda_buffer_type_interface, + /* .context = */ (ggml_backend_buffer_type_context_t) (intptr_t) i, + }; + } + ggml_backend_cuda_buffer_type_initialized = true; + } + + return &ggml_backend_cuda_buffer_types[device]; +} + +// host buffer type + +static void ggml_backend_cuda_host_buffer_free_buffer(ggml_backend_buffer_t buffer) { + ggml_cuda_host_free(buffer->context); +} + +static ggml_backend_buffer_t ggml_backend_cuda_host_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { + void * ptr = ggml_cuda_host_malloc(size); + + if (ptr == nullptr) { + // fallback to cpu buffer + return ggml_backend_buft_alloc_buffer(ggml_backend_cpu_buffer_type(), size); + } + + // FIXME: this is a hack to avoid having to implement a new buffer type + ggml_backend_buffer_t buffer = ggml_backend_cpu_buffer_from_ptr(ptr, size); + buffer->buft = buft; + buffer->iface.free_buffer = ggml_backend_cuda_host_buffer_free_buffer; + + return buffer; +} + +ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type() { + static struct ggml_backend_buffer_type ggml_backend_cuda_buffer_type_host = { + /* .iface = */ { + /* .alloc_buffer = */ ggml_backend_cuda_host_buffer_type_alloc_buffer, + /* .get_alignment = */ ggml_backend_cpu_buffer_type()->iface.get_alignment, + /* .get_alloc_size = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size, + /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend, + /* .is_host = */ ggml_backend_cpu_buffer_type()->iface.is_host, + }, + /* .context = */ nullptr, + }; + + return &ggml_backend_cuda_buffer_type_host; +} + +// backend + +struct ggml_backend_context_cuda { + int device; +}; + +static const char * ggml_backend_cuda_name(ggml_backend_t backend) { + return GGML_CUDA_NAME; + UNUSED(backend); } +static void ggml_backend_cuda_free(ggml_backend_t backend) { + ggml_backend_context_cuda * cuda_ctx = (ggml_backend_context_cuda *)backend->context; + + delete cuda_ctx; + delete backend; +} + +static ggml_backend_buffer_type_t ggml_backend_cuda_get_default_buffer_type(ggml_backend_t backend) { + ggml_backend_context_cuda * cuda_ctx = (ggml_backend_context_cuda *)backend->context; + + return ggml_backend_cuda_buffer_type(cuda_ctx->device); +} + static void ggml_backend_cuda_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { - GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds"); - GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); - GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); + ggml_backend_context_cuda * cuda_ctx = (ggml_backend_context_cuda *)backend->context; - CUDA_CHECK(cudaMemcpyAsync((char *)tensor->data + offset, data, size, cudaMemcpyHostToDevice, g_cudaStreams[g_main_device][0])); + GGML_ASSERT(tensor->buffer->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type"); + GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); - UNUSED(backend); + CUDA_CHECK(cudaMemcpyAsync((char *)tensor->data + offset, data, size, cudaMemcpyHostToDevice, g_cudaStreams[cuda_ctx->device][0])); } static void ggml_backend_cuda_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { - GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor read out of bounds"); - GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); - GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); + ggml_backend_context_cuda * cuda_ctx = (ggml_backend_context_cuda *)backend->context; - CUDA_CHECK(cudaMemcpyAsync(data, (const char *)tensor->data + offset, size, cudaMemcpyDeviceToHost, g_cudaStreams[g_main_device][0])); + GGML_ASSERT(tensor->buffer->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type"); + GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); - UNUSED(backend); + CUDA_CHECK(cudaMemcpyAsync(data, (const char *)tensor->data + offset, size, cudaMemcpyDeviceToHost, g_cudaStreams[cuda_ctx->device][0])); } static void ggml_backend_cuda_synchronize(ggml_backend_t backend) { - CUDA_CHECK(cudaStreamSynchronize(g_cudaStreams[g_main_device][0])); + ggml_backend_context_cuda * cuda_ctx = (ggml_backend_context_cuda *)backend->context; + + CUDA_CHECK(cudaStreamSynchronize(g_cudaStreams[cuda_ctx->device][0])); UNUSED(backend); } @@ -8346,14 +9889,14 @@ static ggml_backend_graph_plan_t ggml_backend_cuda_graph_plan_create(ggml_backen UNUSED(cgraph); } -[[noreturn]] static void ggml_backend_cuda_graph_plan_free(ggml_backend_t backend, ggml_backend_graph_plan_t plan) { +static void ggml_backend_cuda_graph_plan_free(ggml_backend_t backend, ggml_backend_graph_plan_t plan) { GGML_ASSERT(!"not implemented"); UNUSED(backend); UNUSED(plan); } -[[noreturn]] static void ggml_backend_cuda_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_plan_t plan) { +static void ggml_backend_cuda_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_plan_t plan) { GGML_ASSERT(!"not implemented"); UNUSED(backend); @@ -8361,7 +9904,9 @@ static ggml_backend_graph_plan_t ggml_backend_cuda_graph_plan_create(ggml_backen } static void ggml_backend_cuda_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) { - ggml_cuda_set_device(g_main_device); + ggml_backend_context_cuda * cuda_ctx = (ggml_backend_context_cuda *)backend->context; + + ggml_cuda_set_main_device(cuda_ctx->device); ggml_compute_params params = {}; params.type = GGML_TASK_COMPUTE; @@ -8369,13 +9914,18 @@ static void ggml_backend_cuda_graph_compute(ggml_backend_t backend, ggml_cgraph for (int i = 0; i < cgraph->n_nodes; i++) { ggml_tensor * node = cgraph->nodes[i]; - if (node->op == GGML_OP_RESHAPE || node->op == GGML_OP_TRANSPOSE || node->op == GGML_OP_VIEW || node->op == GGML_OP_PERMUTE) { + if (node->op == GGML_OP_RESHAPE || node->op == GGML_OP_TRANSPOSE || node->op == GGML_OP_VIEW || node->op == GGML_OP_PERMUTE) continue; - } + assert(node->backend == GGML_BACKEND_GPU); + assert(node->buffer->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device)); + assert(node->extra != nullptr); + for (int j = 0; j < GGML_MAX_SRC; j++) { if (node->src[j] != nullptr) { assert(node->src[j]->backend == GGML_BACKEND_GPU); + assert(node->src[j]->buffer->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device)); + assert(node->src[j]->extra != nullptr); } } @@ -8412,27 +9962,143 @@ static void ggml_backend_cuda_graph_compute(ggml_backend_t backend, ggml_cgraph UNUSED(backend); } +static bool ggml_backend_cuda_supports_op(ggml_backend_t backend, const ggml_tensor * op) { + switch (op->op) { + case GGML_OP_UNARY: + switch (ggml_get_unary_op(op)) { + case GGML_UNARY_OP_GELU: + case GGML_UNARY_OP_SILU: + case GGML_UNARY_OP_RELU: + case GGML_UNARY_OP_GELU_QUICK: + case GGML_UNARY_OP_TANH: + return true; + default: + return false; + } + break; + case GGML_OP_MUL_MAT: + case GGML_OP_MUL_MAT_ID: + { + struct ggml_tensor * a; + struct ggml_tensor * b; + if (op->op == GGML_OP_MUL_MAT) { + a = op->src[0]; + b = op->src[1]; + } else { + a = op->src[2]; + b = op->src[1]; + } + if (a->ne[3] != b->ne[3]) { + return false; + } + return true; + } break; + case GGML_OP_GET_ROWS: + { + switch (op->src[0]->type) { + case GGML_TYPE_F16: + case GGML_TYPE_F32: + case GGML_TYPE_Q4_0: + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q5_0: + case GGML_TYPE_Q5_1: + case GGML_TYPE_Q8_0: + return true; + default: + return false; + } + } break; + case GGML_OP_CPY: + { + ggml_type src0_type = op->src[0]->type; + ggml_type src1_type = op->src[1]->type; + if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_F32) { + return true; + } + if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_F16) { + return true; + } + if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_Q8_0) { + return true; + } + if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_Q4_0) { + return true; + } + if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_Q4_1) { + return true; + } + if (src0_type == GGML_TYPE_F16 && src1_type == GGML_TYPE_F16) { + return true; + } + return false; + } break; + case GGML_OP_NONE: + case GGML_OP_RESHAPE: + case GGML_OP_VIEW: + case GGML_OP_PERMUTE: + case GGML_OP_TRANSPOSE: + case GGML_OP_NORM: + case GGML_OP_REPEAT: + case GGML_OP_DUP: + case GGML_OP_ADD: + case GGML_OP_MUL: + case GGML_OP_DIV: + case GGML_OP_RMS_NORM: + case GGML_OP_SCALE: + case GGML_OP_SQR: + case GGML_OP_CLAMP: + case GGML_OP_CONT: + case GGML_OP_DIAG_MASK_INF: + case GGML_OP_SOFT_MAX: + case GGML_OP_ROPE: + case GGML_OP_ALIBI: + case GGML_OP_IM2COL: + case GGML_OP_SUM_ROWS: + case GGML_OP_ARGSORT: + case GGML_OP_ACC: + case GGML_OP_CONCAT: + case GGML_OP_GROUP_NORM: + case GGML_OP_UPSCALE: + case GGML_OP_PAD: + case GGML_OP_LEAKY_RELU: + return true; + default: + return false; + } + + UNUSED(backend); +} + static ggml_backend_i cuda_backend_i = { - /* .get_name = */ ggml_backend_cuda_name, - /* .free = */ ggml_backend_cuda_free, - /* .alloc_buffer = */ ggml_backend_cuda_alloc_buffer, - /* .get_alignment = */ ggml_backend_cuda_get_alignment, - /* .set_tensor_async = */ ggml_backend_cuda_set_tensor_async, - /* .get_tensor_async = */ ggml_backend_cuda_get_tensor_async, - /* .synchronize = */ ggml_backend_cuda_synchronize, - /* .cpy_tensor_from = */ nullptr, - /* .cpy_tensor_to = */ nullptr, - /* .graph_plan_create = */ ggml_backend_cuda_graph_plan_create, - /* .graph_plan_free = */ ggml_backend_cuda_graph_plan_free, - /* .graph_plan_compute = */ ggml_backend_cuda_graph_plan_compute, - /* .graph_compute = */ ggml_backend_cuda_graph_compute, - /* .supports_op = */ nullptr, + /* .get_name = */ ggml_backend_cuda_name, + /* .free = */ ggml_backend_cuda_free, + /* .get_default_buffer_type = */ ggml_backend_cuda_get_default_buffer_type, + /* .set_tensor_async = */ ggml_backend_cuda_set_tensor_async, + /* .get_tensor_async = */ ggml_backend_cuda_get_tensor_async, + /* .cpy_tensor_from_async = */ NULL, + /* .cpy_tensor_to_async = */ NULL, + /* .synchronize = */ ggml_backend_cuda_synchronize, + /* .graph_plan_create = */ ggml_backend_cuda_graph_plan_create, + /* .graph_plan_free = */ ggml_backend_cuda_graph_plan_free, + /* .graph_plan_compute = */ ggml_backend_cuda_graph_plan_compute, + /* .graph_compute = */ ggml_backend_cuda_graph_compute, + /* .supports_op = */ ggml_backend_cuda_supports_op, }; -ggml_backend_t ggml_backend_cuda_init() { +ggml_backend_t ggml_backend_cuda_init(int device) { ggml_init_cublas(); // TODO: remove from ggml.c - ggml_backend_context_cuda * ctx = new ggml_backend_context_cuda; + if (device < 0 || device >= ggml_cuda_get_device_count()) { + fprintf(stderr, "%s: error: invalid device %d\n", __func__, device); + return nullptr; + } + + // not strictly necessary, but it may reduce the overhead of the first graph_compute + ggml_cuda_set_main_device(device); + + ggml_backend_context_cuda * ctx = new ggml_backend_context_cuda { + /* .device = */ device + }; ggml_backend_t cuda_backend = new ggml_backend { /* .interface = */ cuda_backend_i, @@ -8441,3 +10107,27 @@ ggml_backend_t ggml_backend_cuda_init() { return cuda_backend; } + +bool ggml_backend_is_cuda(ggml_backend_t backend) { + return backend->iface.get_name == ggml_backend_cuda_name; +} + +static ggml_backend_t ggml_backend_reg_cuda_init(const char * params, void * user_data) { + ggml_backend_t cuda_backend = ggml_backend_cuda_init((int) (intptr_t) user_data); + return cuda_backend; + + UNUSED(params); +} + +extern "C" int ggml_backend_cuda_reg_devices(); + +int ggml_backend_cuda_reg_devices() { + int device_count = ggml_cuda_get_device_count(); + //int device_count = 1; // DEBUG: some tools require delaying CUDA initialization + for (int i = 0; i < device_count; i++) { + char name[128]; + snprintf(name, sizeof(name), "%s%d", GGML_CUDA_NAME, i); + ggml_backend_register(name, ggml_backend_reg_cuda_init, ggml_backend_cuda_buffer_type(i), (void *) (intptr_t) i); + } + return device_count; +} diff --git a/ggml-cuda.h b/ggml-cuda.h index 528e66c33a2..cdb0c0c4161 100644 --- a/ggml-cuda.h +++ b/ggml-cuda.h @@ -49,7 +49,15 @@ GGML_API int ggml_cuda_get_device_count(void); GGML_API void ggml_cuda_get_device_description(int device, char * description, size_t description_size); // backend API -GGML_API ggml_backend_t ggml_backend_cuda_init(void); // TODO: take a list of devices to use +GGML_API ggml_backend_t ggml_backend_cuda_init(int device); + +GGML_API bool ggml_backend_is_cuda(ggml_backend_t backend); +GGML_API int ggml_backend_cuda_get_device(ggml_backend_t backend); + +GGML_API ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int device); + +// pinned host buffer for use with CPU backend for faster copies between CPU and GPU +GGML_API ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type(void); #ifdef __cplusplus } diff --git a/ggml-impl.h b/ggml-impl.h index 06c07339e92..1f5610a86cf 100644 --- a/ggml-impl.h +++ b/ggml-impl.h @@ -232,7 +232,7 @@ bool ggml_hash_contains (const struct ggml_hash_set hash_set, struct ggml // returns GGML_HASHTABLE_FULL if table is full, otherwise the current index of the key or where it should be inserted size_t ggml_hash_find (const struct ggml_hash_set hash_set, struct ggml_tensor * key); -// returns GGML_HAHSHTABLE_ALREADY_EXISTS if key already exists, index otherwise, asserts if table is full +// returns GGML_HASHTABLE_ALREADY_EXISTS if key already exists, index otherwise, asserts if table is full size_t ggml_hash_insert ( struct ggml_hash_set hash_set, struct ggml_tensor * key); // return index, asserts if table is full diff --git a/ggml-metal.h b/ggml-metal.h index de46b8804dc..b5e02b668a0 100644 --- a/ggml-metal.h +++ b/ggml-metal.h @@ -52,11 +52,6 @@ void ggml_metal_free(struct ggml_metal_context * ctx); void * ggml_metal_host_malloc(size_t n); void ggml_metal_host_free (void * data); -// helper to check if the device supports a specific family -// ideally, the user code should be doing these checks -// ref: https://developer.apple.com/metal/Metal-Feature-Set-Tables.pdf -bool ggml_metal_supports_family(struct ggml_metal_context * ctx, int family); - // set the number of command buffers to use void ggml_metal_set_n_cb(struct ggml_metal_context * ctx, int n_cb); @@ -103,8 +98,15 @@ GGML_API ggml_backend_t ggml_backend_metal_init(void); GGML_API bool ggml_backend_is_metal(ggml_backend_t backend); +GGML_API ggml_backend_buffer_t ggml_backend_metal_buffer_from_ptr(void * data, size_t size, size_t max_size); + GGML_API void ggml_backend_metal_set_n_cb(ggml_backend_t backend, int n_cb); +GGML_API ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void); + +// helper to check if the device supports a specific family +// ideally, the user code should be doing these checks +// ref: https://developer.apple.com/metal/Metal-Feature-Set-Tables.pdf GGML_API bool ggml_backend_metal_supports_family(ggml_backend_t backend, int family); #ifdef __cplusplus diff --git a/ggml-metal.m b/ggml-metal.m index 51382adea57..51a72ae3357 100644 --- a/ggml-metal.m +++ b/ggml-metal.m @@ -62,11 +62,15 @@ GGML_METAL_DECL_KERNEL(add_row); // TODO: avoid this extra kernel, instead extend the "add" kernel to support broadcast GGML_METAL_DECL_KERNEL(mul); GGML_METAL_DECL_KERNEL(mul_row); // TODO: avoid this extra kernel, instead extend the "mul" kernel to support broadcast + GGML_METAL_DECL_KERNEL(div); + GGML_METAL_DECL_KERNEL(div_row); GGML_METAL_DECL_KERNEL(scale); GGML_METAL_DECL_KERNEL(scale_4); - GGML_METAL_DECL_KERNEL(silu); + GGML_METAL_DECL_KERNEL(tanh); GGML_METAL_DECL_KERNEL(relu); GGML_METAL_DECL_KERNEL(gelu); + GGML_METAL_DECL_KERNEL(gelu_quick); + GGML_METAL_DECL_KERNEL(silu); GGML_METAL_DECL_KERNEL(soft_max); GGML_METAL_DECL_KERNEL(soft_max_4); GGML_METAL_DECL_KERNEL(diag_mask_inf); @@ -84,6 +88,7 @@ GGML_METAL_DECL_KERNEL(get_rows_q5_K); GGML_METAL_DECL_KERNEL(get_rows_q6_K); GGML_METAL_DECL_KERNEL(rms_norm); + GGML_METAL_DECL_KERNEL(group_norm); GGML_METAL_DECL_KERNEL(norm); GGML_METAL_DECL_KERNEL(mul_mv_f32_f32); GGML_METAL_DECL_KERNEL(mul_mv_f16_f16); @@ -100,6 +105,21 @@ GGML_METAL_DECL_KERNEL(mul_mv_q4_K_f32); GGML_METAL_DECL_KERNEL(mul_mv_q5_K_f32); GGML_METAL_DECL_KERNEL(mul_mv_q6_K_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_f32_f32); + //GGML_METAL_DECL_KERNEL(mul_mv_id_f16_f16); + GGML_METAL_DECL_KERNEL(mul_mv_id_f16_f32); + //GGML_METAL_DECL_KERNEL(mul_mv_id_f16_f32_1row); + //GGML_METAL_DECL_KERNEL(mul_mv_id_f16_f32_l4); + GGML_METAL_DECL_KERNEL(mul_mv_id_q4_0_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_q4_1_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_q5_0_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_q5_1_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_q8_0_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_q2_K_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_q3_K_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_q4_K_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_q5_K_f32); + GGML_METAL_DECL_KERNEL(mul_mv_id_q6_K_f32); GGML_METAL_DECL_KERNEL(mul_mm_f32_f32); GGML_METAL_DECL_KERNEL(mul_mm_f16_f32); GGML_METAL_DECL_KERNEL(mul_mm_q4_0_f32); @@ -112,15 +132,39 @@ GGML_METAL_DECL_KERNEL(mul_mm_q4_K_f32); GGML_METAL_DECL_KERNEL(mul_mm_q5_K_f32); GGML_METAL_DECL_KERNEL(mul_mm_q6_K_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_f32_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_f16_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q4_0_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q4_1_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q5_0_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q5_1_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q8_0_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q2_K_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q3_K_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q4_K_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q5_K_f32); + GGML_METAL_DECL_KERNEL(mul_mm_id_q6_K_f32); GGML_METAL_DECL_KERNEL(rope_f32); GGML_METAL_DECL_KERNEL(rope_f16); GGML_METAL_DECL_KERNEL(alibi_f32); GGML_METAL_DECL_KERNEL(im2col_f16); + GGML_METAL_DECL_KERNEL(upscale_f32); + GGML_METAL_DECL_KERNEL(pad_f32); + GGML_METAL_DECL_KERNEL(argsort_f32_i32_asc); + GGML_METAL_DECL_KERNEL(argsort_f32_i32_desc); + GGML_METAL_DECL_KERNEL(leaky_relu_f32); GGML_METAL_DECL_KERNEL(cpy_f32_f16); GGML_METAL_DECL_KERNEL(cpy_f32_f32); + GGML_METAL_DECL_KERNEL(cpy_f32_q8_0); + GGML_METAL_DECL_KERNEL(cpy_f32_q4_0); + GGML_METAL_DECL_KERNEL(cpy_f32_q4_1); + //GGML_METAL_DECL_KERNEL(cpy_f32_q5_0); + //GGML_METAL_DECL_KERNEL(cpy_f32_q5_1); GGML_METAL_DECL_KERNEL(cpy_f16_f16); + GGML_METAL_DECL_KERNEL(cpy_f16_f32); GGML_METAL_DECL_KERNEL(concat); GGML_METAL_DECL_KERNEL(sqr); + GGML_METAL_DECL_KERNEL(sum_rows); #undef GGML_METAL_DECL_KERNEL }; @@ -136,7 +180,15 @@ @interface GGMLMetalClass : NSObject @implementation GGMLMetalClass @end -ggml_log_callback ggml_metal_log_callback = NULL; + +static void ggml_metal_default_log_callback(enum ggml_log_level level, const char * msg, void * user_data) { + fprintf(stderr, "%s", msg); + + UNUSED(level); + UNUSED(user_data); +} + +ggml_log_callback ggml_metal_log_callback = ggml_metal_default_log_callback; void * ggml_metal_log_user_data = NULL; void ggml_metal_log_set_callback(ggml_log_callback log_callback, void * user_data) { @@ -155,6 +207,8 @@ static void ggml_metal_log(enum ggml_log_level level, const char * format, ...){ ggml_metal_log_callback(level, buffer, ggml_metal_log_user_data); } else { char* buffer2 = malloc(len+1); + va_end(args); + va_start(args, format); vsnprintf(buffer2, len+1, format, args); buffer2[len] = 0; ggml_metal_log_callback(level, buffer2, ggml_metal_log_user_data); @@ -164,12 +218,10 @@ static void ggml_metal_log(enum ggml_log_level level, const char * format, ...){ } } - - struct ggml_metal_context * ggml_metal_init(int n_cb) { GGML_METAL_LOG_INFO("%s: allocating\n", __func__); - id device; + id device; NSString * s; #if TARGET_OS_OSX @@ -215,6 +267,9 @@ static void ggml_metal_log(enum ggml_log_level level, const char * format, ...){ NSString * sourcePath; NSString * ggmlMetalPathResources = [[NSProcessInfo processInfo].environment objectForKey:@"GGML_METAL_PATH_RESOURCES"]; + + GGML_METAL_LOG_INFO("%s: GGML_METAL_PATH_RESOURCES = %s\n", __func__, ggmlMetalPathResources ? [ggmlMetalPathResources UTF8String] : "nil"); + if (ggmlMetalPathResources) { sourcePath = [ggmlMetalPathResources stringByAppendingPathComponent:@"ggml-metal.metal"]; } else { @@ -245,6 +300,29 @@ static void ggml_metal_log(enum ggml_log_level level, const char * format, ...){ } } +#if TARGET_OS_OSX + // print MTL GPU family: + GGML_METAL_LOG_INFO("%s: GPU name: %s\n", __func__, [[ctx->device name] UTF8String]); + + // determine max supported GPU family + // https://developer.apple.com/metal/Metal-Shading-Language-Specification.pdf + // https://developer.apple.com/metal/Metal-Feature-Set-Tables.pdf + for (int i = MTLGPUFamilyApple1 + 20; i >= MTLGPUFamilyApple1; --i) { + if ([ctx->device supportsFamily:i]) { + GGML_METAL_LOG_INFO("%s: GPU family: MTLGPUFamilyApple%d (%d)\n", __func__, i - (int) MTLGPUFamilyApple1 + 1, i); + break; + } + } + + GGML_METAL_LOG_INFO("%s: hasUnifiedMemory = %s\n", __func__, ctx->device.hasUnifiedMemory ? "true" : "false"); + GGML_METAL_LOG_INFO("%s: recommendedMaxWorkingSetSize = %8.2f MB\n", __func__, ctx->device.recommendedMaxWorkingSetSize / 1e6); + if (ctx->device.maxTransferRate != 0) { + GGML_METAL_LOG_INFO("%s: maxTransferRate = %8.2f MB/s\n", __func__, ctx->device.maxTransferRate / 1e6); + } else { + GGML_METAL_LOG_INFO("%s: maxTransferRate = built-in GPU\n", __func__); + } +#endif + // load kernels { NSError * error = nil; @@ -266,11 +344,15 @@ static void ggml_metal_log(enum ggml_log_level level, const char * format, ...){ GGML_METAL_ADD_KERNEL(add_row); GGML_METAL_ADD_KERNEL(mul); GGML_METAL_ADD_KERNEL(mul_row); + GGML_METAL_ADD_KERNEL(div); + GGML_METAL_ADD_KERNEL(div_row); GGML_METAL_ADD_KERNEL(scale); GGML_METAL_ADD_KERNEL(scale_4); - GGML_METAL_ADD_KERNEL(silu); + GGML_METAL_ADD_KERNEL(tanh); GGML_METAL_ADD_KERNEL(relu); GGML_METAL_ADD_KERNEL(gelu); + GGML_METAL_ADD_KERNEL(gelu_quick); + GGML_METAL_ADD_KERNEL(silu); GGML_METAL_ADD_KERNEL(soft_max); GGML_METAL_ADD_KERNEL(soft_max_4); GGML_METAL_ADD_KERNEL(diag_mask_inf); @@ -288,6 +370,7 @@ static void ggml_metal_log(enum ggml_log_level level, const char * format, ...){ GGML_METAL_ADD_KERNEL(get_rows_q5_K); GGML_METAL_ADD_KERNEL(get_rows_q6_K); GGML_METAL_ADD_KERNEL(rms_norm); + GGML_METAL_ADD_KERNEL(group_norm); GGML_METAL_ADD_KERNEL(norm); GGML_METAL_ADD_KERNEL(mul_mv_f32_f32); GGML_METAL_ADD_KERNEL(mul_mv_f16_f16); @@ -304,6 +387,21 @@ static void ggml_metal_log(enum ggml_log_level level, const char * format, ...){ GGML_METAL_ADD_KERNEL(mul_mv_q4_K_f32); GGML_METAL_ADD_KERNEL(mul_mv_q5_K_f32); GGML_METAL_ADD_KERNEL(mul_mv_q6_K_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_f32_f32); + //GGML_METAL_ADD_KERNEL(mul_mv_id_f16_f16); + GGML_METAL_ADD_KERNEL(mul_mv_id_f16_f32); + //GGML_METAL_ADD_KERNEL(mul_mv_id_f16_f32_1row); + //GGML_METAL_ADD_KERNEL(mul_mv_id_f16_f32_l4); + GGML_METAL_ADD_KERNEL(mul_mv_id_q4_0_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_q4_1_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_q5_0_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_q5_1_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_q8_0_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_q2_K_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_q3_K_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_q4_K_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_q5_K_f32); + GGML_METAL_ADD_KERNEL(mul_mv_id_q6_K_f32); if ([ctx->device supportsFamily:MTLGPUFamilyApple7]) { GGML_METAL_ADD_KERNEL(mul_mm_f32_f32); GGML_METAL_ADD_KERNEL(mul_mm_f16_f32); @@ -317,43 +415,44 @@ static void ggml_metal_log(enum ggml_log_level level, const char * format, ...){ GGML_METAL_ADD_KERNEL(mul_mm_q4_K_f32); GGML_METAL_ADD_KERNEL(mul_mm_q5_K_f32); GGML_METAL_ADD_KERNEL(mul_mm_q6_K_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_f32_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_f16_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q4_0_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q4_1_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q5_0_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q5_1_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q8_0_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q2_K_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q3_K_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q4_K_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q5_K_f32); + GGML_METAL_ADD_KERNEL(mul_mm_id_q6_K_f32); } GGML_METAL_ADD_KERNEL(rope_f32); GGML_METAL_ADD_KERNEL(rope_f16); GGML_METAL_ADD_KERNEL(alibi_f32); GGML_METAL_ADD_KERNEL(im2col_f16); + GGML_METAL_ADD_KERNEL(upscale_f32); + GGML_METAL_ADD_KERNEL(pad_f32); + GGML_METAL_ADD_KERNEL(argsort_f32_i32_asc); + GGML_METAL_ADD_KERNEL(argsort_f32_i32_desc); + GGML_METAL_ADD_KERNEL(leaky_relu_f32); GGML_METAL_ADD_KERNEL(cpy_f32_f16); GGML_METAL_ADD_KERNEL(cpy_f32_f32); + GGML_METAL_ADD_KERNEL(cpy_f32_q8_0); + GGML_METAL_ADD_KERNEL(cpy_f32_q4_0); + GGML_METAL_ADD_KERNEL(cpy_f32_q4_1); + //GGML_METAL_ADD_KERNEL(cpy_f32_q5_0); + //GGML_METAL_ADD_KERNEL(cpy_f32_q5_1); GGML_METAL_ADD_KERNEL(cpy_f16_f16); + GGML_METAL_ADD_KERNEL(cpy_f16_f32); GGML_METAL_ADD_KERNEL(concat); GGML_METAL_ADD_KERNEL(sqr); + GGML_METAL_ADD_KERNEL(sum_rows); #undef GGML_METAL_ADD_KERNEL } -#if TARGET_OS_OSX - // print MTL GPU family: - GGML_METAL_LOG_INFO("%s: GPU name: %s\n", __func__, [[ctx->device name] UTF8String]); - - // determine max supported GPU family - // https://developer.apple.com/metal/Metal-Shading-Language-Specification.pdf - // https://developer.apple.com/metal/Metal-Feature-Set-Tables.pdf - for (int i = MTLGPUFamilyApple1 + 20; i >= MTLGPUFamilyApple1; --i) { - if ([ctx->device supportsFamily:i]) { - GGML_METAL_LOG_INFO("%s: GPU family: MTLGPUFamilyApple%d (%d)\n", __func__, i - (int) MTLGPUFamilyApple1 + 1, i); - break; - } - } - - GGML_METAL_LOG_INFO("%s: hasUnifiedMemory = %s\n", __func__, ctx->device.hasUnifiedMemory ? "true" : "false"); - GGML_METAL_LOG_INFO("%s: recommendedMaxWorkingSetSize = %8.2f MB\n", __func__, ctx->device.recommendedMaxWorkingSetSize / 1e6); - if (ctx->device.maxTransferRate != 0) { - GGML_METAL_LOG_INFO("%s: maxTransferRate = %8.2f MB/s\n", __func__, ctx->device.maxTransferRate / 1e6); - } else { - GGML_METAL_LOG_INFO("%s: maxTransferRate = built-in GPU\n", __func__); - } -#endif - return ctx; } @@ -367,11 +466,15 @@ void ggml_metal_free(struct ggml_metal_context * ctx) { GGML_METAL_DEL_KERNEL(add_row); GGML_METAL_DEL_KERNEL(mul); GGML_METAL_DEL_KERNEL(mul_row); + GGML_METAL_DEL_KERNEL(div); + GGML_METAL_DEL_KERNEL(div_row); GGML_METAL_DEL_KERNEL(scale); GGML_METAL_DEL_KERNEL(scale_4); - GGML_METAL_DEL_KERNEL(silu); + GGML_METAL_DEL_KERNEL(tanh); GGML_METAL_DEL_KERNEL(relu); GGML_METAL_DEL_KERNEL(gelu); + GGML_METAL_DEL_KERNEL(gelu_quick); + GGML_METAL_DEL_KERNEL(silu); GGML_METAL_DEL_KERNEL(soft_max); GGML_METAL_DEL_KERNEL(soft_max_4); GGML_METAL_DEL_KERNEL(diag_mask_inf); @@ -389,6 +492,7 @@ void ggml_metal_free(struct ggml_metal_context * ctx) { GGML_METAL_DEL_KERNEL(get_rows_q5_K); GGML_METAL_DEL_KERNEL(get_rows_q6_K); GGML_METAL_DEL_KERNEL(rms_norm); + GGML_METAL_DEL_KERNEL(group_norm); GGML_METAL_DEL_KERNEL(norm); GGML_METAL_DEL_KERNEL(mul_mv_f32_f32); GGML_METAL_DEL_KERNEL(mul_mv_f16_f16); @@ -405,6 +509,21 @@ void ggml_metal_free(struct ggml_metal_context * ctx) { GGML_METAL_DEL_KERNEL(mul_mv_q4_K_f32); GGML_METAL_DEL_KERNEL(mul_mv_q5_K_f32); GGML_METAL_DEL_KERNEL(mul_mv_q6_K_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_f32_f32); + //GGML_METAL_DEL_KERNEL(mul_mv_id_f16_f16); + GGML_METAL_DEL_KERNEL(mul_mv_id_f16_f32); + //GGML_METAL_DEL_KERNEL(mul_mv_id_f16_f32_1row); + //GGML_METAL_DEL_KERNEL(mul_mv_id_f16_f32_l4); + GGML_METAL_DEL_KERNEL(mul_mv_id_q4_0_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_q4_1_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_q5_0_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_q5_1_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_q8_0_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_q2_K_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_q3_K_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_q4_K_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_q5_K_f32); + GGML_METAL_DEL_KERNEL(mul_mv_id_q6_K_f32); if ([ctx->device supportsFamily:MTLGPUFamilyApple7]) { GGML_METAL_DEL_KERNEL(mul_mm_f32_f32); GGML_METAL_DEL_KERNEL(mul_mm_f16_f32); @@ -418,16 +537,40 @@ void ggml_metal_free(struct ggml_metal_context * ctx) { GGML_METAL_DEL_KERNEL(mul_mm_q4_K_f32); GGML_METAL_DEL_KERNEL(mul_mm_q5_K_f32); GGML_METAL_DEL_KERNEL(mul_mm_q6_K_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_f32_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_f16_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q4_0_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q4_1_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q5_0_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q5_1_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q8_0_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q2_K_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q3_K_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q4_K_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q5_K_f32); + GGML_METAL_DEL_KERNEL(mul_mm_id_q6_K_f32); } GGML_METAL_DEL_KERNEL(rope_f32); GGML_METAL_DEL_KERNEL(rope_f16); GGML_METAL_DEL_KERNEL(alibi_f32); GGML_METAL_DEL_KERNEL(im2col_f16); + GGML_METAL_DEL_KERNEL(upscale_f32); + GGML_METAL_DEL_KERNEL(pad_f32); + GGML_METAL_DEL_KERNEL(argsort_f32_i32_asc); + GGML_METAL_DEL_KERNEL(argsort_f32_i32_desc); + GGML_METAL_DEL_KERNEL(leaky_relu_f32); GGML_METAL_DEL_KERNEL(cpy_f32_f16); GGML_METAL_DEL_KERNEL(cpy_f32_f32); + GGML_METAL_DEL_KERNEL(cpy_f32_q8_0); + GGML_METAL_DEL_KERNEL(cpy_f32_q4_0); + GGML_METAL_DEL_KERNEL(cpy_f32_q4_1); + //GGML_METAL_DEL_KERNEL(cpy_f32_q5_0); + //GGML_METAL_DEL_KERNEL(cpy_f32_q5_1); GGML_METAL_DEL_KERNEL(cpy_f16_f16); + GGML_METAL_DEL_KERNEL(cpy_f16_f32); GGML_METAL_DEL_KERNEL(concat); GGML_METAL_DEL_KERNEL(sqr); + GGML_METAL_DEL_KERNEL(sum_rows); #undef GGML_METAL_DEL_KERNEL @@ -459,10 +602,6 @@ void ggml_metal_host_free(void * data) { free(data); } -bool ggml_metal_supports_family(struct ggml_metal_context * ctx, int family) { - return [ctx->device supportsFamily:(MTLGPUFamilyApple1 + family - 1)]; -} - void ggml_metal_set_n_cb(struct ggml_metal_context * ctx, int n_cb) { ctx->n_cb = MIN(n_cb, GGML_METAL_MAX_BUFFERS); } @@ -475,6 +614,25 @@ int ggml_metal_if_optimized(struct ggml_metal_context * ctx) { return ctx->concur_list; } +// temporarily defined here for compatibility between ggml-backend and the old API + +struct ggml_backend_metal_buffer { + void * data; + size_t size; + + id metal; +}; + +struct ggml_backend_metal_buffer_context { + void * all_data; + size_t all_size; + bool owned; + + // multiple buffers are used only to avoid the maximum buffer size limitation when using mmap + int n_buffers; + struct ggml_backend_metal_buffer buffers[GGML_METAL_MAX_BUFFERS]; +}; + // finds the Metal buffer that contains the tensor data on the GPU device // the assumption is that there is 1-to-1 mapping between the host and device memory buffers, so we can find the // Metal buffer based on the host memory pointer @@ -484,8 +642,29 @@ int ggml_metal_if_optimized(struct ggml_metal_context * ctx) { const int64_t tsize = ggml_nbytes(t); - if (t->buffer && t->buffer->backend && t->buffer->backend->context) { - ctx = t->buffer->backend->context; + ggml_backend_buffer_t buffer = t->view_src ? t->view_src->buffer : t->buffer; + + // compatibility with ggml-backend + if (buffer && buffer->buft == ggml_backend_metal_buffer_type()) { + struct ggml_backend_metal_buffer_context * buf_ctx = (struct ggml_backend_metal_buffer_context *) buffer->context; + + // find the view that contains the tensor fully + for (int i = 0; i < buf_ctx->n_buffers; ++i) { + const int64_t ioffs = (int64_t) t->data - (int64_t) buf_ctx->buffers[i].data; + + //GGML_METAL_LOG_INFO("ioffs = %10ld, tsize = %10ld, sum = %10ld, buf_ctx->buffers[%d].size = %10ld\n", ioffs, tsize, ioffs + tsize, i, buf_ctx->buffers[i].size); + if (ioffs >= 0 && ioffs + tsize <= (int64_t) buf_ctx->buffers[i].size) { + *offs = (size_t) ioffs; + + //GGML_METAL_LOG_INFO("%s: tensor '%16s', offs = %8ld\n", __func__, t->name, *offs); + + return buf_ctx->buffers[i].metal; + } + } + + GGML_METAL_LOG_ERROR("%s: error: tensor '%s' buffer is nil\n", __func__, t->name); + + return nil; } // find the view that contains the tensor fully @@ -545,11 +724,11 @@ bool ggml_metal_add_buffer( ctx->buffers[ctx->n_buffers].metal = [ctx->device newBufferWithBytesNoCopy:data length:size_aligned options:MTLResourceStorageModeShared deallocator:nil]; if (ctx->buffers[ctx->n_buffers].metal == nil) { - GGML_METAL_LOG_ERROR("%s: error: failed to allocate '%-16s' buffer, size = %8.2f MB\n", __func__, name, size_aligned / 1e6); + GGML_METAL_LOG_ERROR("%s: error: failed to allocate '%-16s' buffer, size = %8.2f MiB\n", __func__, name, size_aligned / 1024.0 / 1024.0); return false; } - GGML_METAL_LOG_INFO("%s: allocated '%-16s' buffer, size = %8.2f MB", __func__, name, size_aligned / 1e6); + GGML_METAL_LOG_INFO("%s: allocated '%-16s' buffer, size = %8.2f MiB", __func__, name, size_aligned / 1024.0 / 1024.0); ++ctx->n_buffers; } else { @@ -569,11 +748,11 @@ bool ggml_metal_add_buffer( ctx->buffers[ctx->n_buffers].metal = [ctx->device newBufferWithBytesNoCopy:(void *) ((uint8_t *) data + i) length:size_step_aligned options:MTLResourceStorageModeShared deallocator:nil]; if (ctx->buffers[ctx->n_buffers].metal == nil) { - GGML_METAL_LOG_ERROR("%s: error: failed to allocate '%-16s' buffer, size = %8.2f MB\n", __func__, name, size_step_aligned / 1e6); + GGML_METAL_LOG_ERROR("%s: error: failed to allocate '%-16s' buffer, size = %8.2f MiB\n", __func__, name, size_step_aligned / 1024.0 / 1024.0); return false; } - GGML_METAL_LOG_INFO("%s: allocated '%-16s' buffer, size = %8.2f MB, offs = %12ld", __func__, name, size_step_aligned / 1e6, i); + GGML_METAL_LOG_INFO("%s: allocated '%-16s' buffer, size = %8.2f MiB, offs = %12ld", __func__, name, size_step_aligned / 1024.0 / 1024.0, i); if (i + size_step < size) { GGML_METAL_LOG_INFO("\n"); } @@ -584,8 +763,8 @@ bool ggml_metal_add_buffer( #if TARGET_OS_OSX GGML_METAL_LOG_INFO(", (%8.2f / %8.2f)", - ctx->device.currentAllocatedSize / 1e6, - ctx->device.recommendedMaxWorkingSetSize / 1e6); + ctx->device.currentAllocatedSize / 1024.0 / 1024.0, + ctx->device.recommendedMaxWorkingSetSize / 1024.0 / 1024.0); if (ctx->device.currentAllocatedSize > ctx->device.recommendedMaxWorkingSetSize) { GGML_METAL_LOG_WARN("%s: warning: current allocated size is greater than the recommended max working set size\n", __func__); @@ -593,7 +772,7 @@ bool ggml_metal_add_buffer( GGML_METAL_LOG_INFO("\n"); } #else - GGML_METAL_LOG_INFO(", (%8.2f)\n", ctx->device.currentAllocatedSize / 1e6); + GGML_METAL_LOG_INFO(", (%8.2f)\n", ctx->device.currentAllocatedSize / 1024.0 / 1024.0); #endif } @@ -710,6 +889,83 @@ void ggml_metal_graph_find_concurrency( } } +static bool ggml_metal_supports_op(const struct ggml_tensor * op) { + switch (op->op) { + case GGML_OP_UNARY: + switch (ggml_get_unary_op(op)) { + case GGML_UNARY_OP_TANH: + case GGML_UNARY_OP_RELU: + case GGML_UNARY_OP_GELU: + case GGML_UNARY_OP_GELU_QUICK: + case GGML_UNARY_OP_SILU: + return true; + default: + return false; + } + case GGML_OP_NONE: + case GGML_OP_RESHAPE: + case GGML_OP_VIEW: + case GGML_OP_TRANSPOSE: + case GGML_OP_PERMUTE: + case GGML_OP_CONCAT: + case GGML_OP_ADD: + case GGML_OP_ACC: + case GGML_OP_MUL: + case GGML_OP_DIV: + case GGML_OP_SCALE: + case GGML_OP_SQR: + case GGML_OP_SUM_ROWS: + case GGML_OP_SOFT_MAX: + case GGML_OP_RMS_NORM: + case GGML_OP_GROUP_NORM: + case GGML_OP_NORM: + case GGML_OP_ALIBI: + case GGML_OP_ROPE: + case GGML_OP_IM2COL: + case GGML_OP_UPSCALE: + case GGML_OP_PAD: + case GGML_OP_ARGSORT: + case GGML_OP_LEAKY_RELU: + case GGML_OP_MUL_MAT: + case GGML_OP_MUL_MAT_ID: + return true; + case GGML_OP_CPY: + case GGML_OP_DUP: + case GGML_OP_CONT: + { + switch (op->src[0]->type) { + case GGML_TYPE_F32: + switch (op->type) { + case GGML_TYPE_F16: + case GGML_TYPE_F32: + case GGML_TYPE_Q8_0: + case GGML_TYPE_Q4_0: + case GGML_TYPE_Q4_1: + return true; + default: + return false; + } + case GGML_TYPE_F16: + switch (op->type) { + case GGML_TYPE_F16: + case GGML_TYPE_F32: + return true; + default: + return false; + } + default: + return false; + }; + } + case GGML_OP_DIAG_MASK_INF: + case GGML_OP_GET_ROWS: + { + return op->ne[3] == 1; + } + default: + return false; + } +} void ggml_metal_graph_compute( struct ggml_metal_context * ctx, struct ggml_cgraph * gf) { @@ -780,6 +1036,11 @@ void ggml_metal_graph_compute( } break; } + if (!ggml_metal_supports_op(dst)) { + GGML_METAL_LOG_ERROR("%s: error: unsupported op '%s'\n", __func__, ggml_op_desc(dst)); + GGML_ASSERT(!"unsupported op"); + } + const int64_t ne00 = src0 ? src0->ne[0] : 0; const int64_t ne01 = src0 ? src0->ne[1] : 0; const int64_t ne02 = src0 ? src0->ne[2] : 0; @@ -872,25 +1133,42 @@ void ggml_metal_graph_compute( [encoder dispatchThreadgroups:MTLSizeMake(ne1, ne2, ne3) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)]; } break; case GGML_OP_ADD: + case GGML_OP_MUL: + case GGML_OP_DIV: { - GGML_ASSERT(ggml_is_contiguous(src0)); - GGML_ASSERT(ggml_is_contiguous(src1)); + const size_t offs = 0; bool bcast_row = false; int64_t nb = ne00; - if (ggml_nelements(src1) == ne10 && ne00 % 4 == 0) { + id pipeline = nil; + + if (ggml_nelements(src1) == ne10 && ggml_is_contiguous(src1) && ne00 % 4 == 0 && ne10 % 4 == 0) { + GGML_ASSERT(ggml_is_contiguous(src0)); + // src1 is a row GGML_ASSERT(ne11 == 1); nb = ne00 / 4; - [encoder setComputePipelineState:ctx->pipeline_add_row]; + switch (dst->op) { + case GGML_OP_ADD: pipeline = ctx->pipeline_add_row; break; + case GGML_OP_MUL: pipeline = ctx->pipeline_mul_row; break; + case GGML_OP_DIV: pipeline = ctx->pipeline_div_row; break; + default: GGML_ASSERT(false); + } bcast_row = true; } else { - [encoder setComputePipelineState:ctx->pipeline_add]; + switch (dst->op) { + case GGML_OP_ADD: pipeline = ctx->pipeline_add; break; + case GGML_OP_MUL: pipeline = ctx->pipeline_mul; break; + case GGML_OP_DIV: pipeline = ctx->pipeline_div; break; + default: GGML_ASSERT(false); + } } + + [encoder setComputePipelineState:pipeline]; [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; [encoder setBuffer:id_src1 offset:offs_src1 atIndex:1]; [encoder setBuffer:id_dst offset:offs_dst atIndex:2]; @@ -918,48 +1196,104 @@ void ggml_metal_graph_compute( [encoder setBytes:&nb1 length:sizeof(nb1) atIndex:24]; [encoder setBytes:&nb2 length:sizeof(nb2) atIndex:25]; [encoder setBytes:&nb3 length:sizeof(nb3) atIndex:26]; - [encoder setBytes:&nb length:sizeof(nb) atIndex:27]; + [encoder setBytes:&offs length:sizeof(offs) atIndex:27]; + [encoder setBytes:&nb length:sizeof(nb) atIndex:28]; if (bcast_row) { const int64_t n = ggml_nelements(dst)/4; [encoder dispatchThreadgroups:MTLSizeMake(n, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; } else { - const int nth = MIN(1024, ne0); + const int nth = MIN((int) pipeline.maxTotalThreadsPerThreadgroup, ne0); [encoder dispatchThreadgroups:MTLSizeMake(ne01, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)]; } } break; - case GGML_OP_MUL: + case GGML_OP_ACC: { + GGML_ASSERT(src0t == GGML_TYPE_F32); + GGML_ASSERT(src1t == GGML_TYPE_F32); + GGML_ASSERT(dstt == GGML_TYPE_F32); + GGML_ASSERT(ggml_is_contiguous(src0)); GGML_ASSERT(ggml_is_contiguous(src1)); - // utilize float4 - GGML_ASSERT(ne00 % 4 == 0); - const int64_t nb = ne00/4; + const size_t pnb1 = ((int32_t *) dst->op_params)[0]; + const size_t pnb2 = ((int32_t *) dst->op_params)[1]; + const size_t pnb3 = ((int32_t *) dst->op_params)[2]; + const size_t offs = ((int32_t *) dst->op_params)[3]; + + const bool inplace = (bool) ((int32_t *) dst->op_params)[4]; + + if (!inplace) { + // run a separete kernel to cpy src->dst + // not sure how to avoid this + // TODO: make a simpler cpy_bytes kernel + + const int nth = MIN(1024, ne00); + + [encoder setComputePipelineState:ctx->pipeline_cpy_f32_f32]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + [encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:2]; + [encoder setBytes:&ne01 length:sizeof( int64_t) atIndex:3]; + [encoder setBytes:&ne02 length:sizeof( int64_t) atIndex:4]; + [encoder setBytes:&ne03 length:sizeof( int64_t) atIndex:5]; + [encoder setBytes:&nb00 length:sizeof(uint64_t) atIndex:6]; + [encoder setBytes:&nb01 length:sizeof(uint64_t) atIndex:7]; + [encoder setBytes:&nb02 length:sizeof(uint64_t) atIndex:8]; + [encoder setBytes:&nb03 length:sizeof(uint64_t) atIndex:9]; + [encoder setBytes:&ne0 length:sizeof( int64_t) atIndex:10]; + [encoder setBytes:&ne1 length:sizeof( int64_t) atIndex:11]; + [encoder setBytes:&ne2 length:sizeof( int64_t) atIndex:12]; + [encoder setBytes:&ne3 length:sizeof( int64_t) atIndex:13]; + [encoder setBytes:&nb0 length:sizeof(uint64_t) atIndex:14]; + [encoder setBytes:&nb1 length:sizeof(uint64_t) atIndex:15]; + [encoder setBytes:&nb2 length:sizeof(uint64_t) atIndex:16]; + [encoder setBytes:&nb3 length:sizeof(uint64_t) atIndex:17]; - if (ggml_nelements(src1) == ne10) { - // src1 is a row - GGML_ASSERT(ne11 == 1); - [encoder setComputePipelineState:ctx->pipeline_mul_row]; - } else { - [encoder setComputePipelineState:ctx->pipeline_mul]; + [encoder dispatchThreadgroups:MTLSizeMake(ne01, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)]; } + + [encoder setComputePipelineState:ctx->pipeline_add]; [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; [encoder setBuffer:id_src1 offset:offs_src1 atIndex:1]; [encoder setBuffer:id_dst offset:offs_dst atIndex:2]; - [encoder setBytes:&nb length:sizeof(nb) atIndex:3]; + [encoder setBytes:&ne00 length:sizeof(ne00) atIndex:3]; + [encoder setBytes:&ne01 length:sizeof(ne01) atIndex:4]; + [encoder setBytes:&ne02 length:sizeof(ne02) atIndex:5]; + [encoder setBytes:&ne03 length:sizeof(ne03) atIndex:6]; + [encoder setBytes:&nb00 length:sizeof(nb00) atIndex:7]; + [encoder setBytes:&pnb1 length:sizeof(pnb1) atIndex:8]; + [encoder setBytes:&pnb2 length:sizeof(pnb2) atIndex:9]; + [encoder setBytes:&pnb3 length:sizeof(pnb3) atIndex:10]; + [encoder setBytes:&ne10 length:sizeof(ne10) atIndex:11]; + [encoder setBytes:&ne11 length:sizeof(ne11) atIndex:12]; + [encoder setBytes:&ne12 length:sizeof(ne12) atIndex:13]; + [encoder setBytes:&ne13 length:sizeof(ne13) atIndex:14]; + [encoder setBytes:&nb10 length:sizeof(nb10) atIndex:15]; + [encoder setBytes:&nb11 length:sizeof(nb11) atIndex:16]; + [encoder setBytes:&nb12 length:sizeof(nb12) atIndex:17]; + [encoder setBytes:&nb13 length:sizeof(nb13) atIndex:18]; + [encoder setBytes:&ne0 length:sizeof(ne0) atIndex:19]; + [encoder setBytes:&ne1 length:sizeof(ne1) atIndex:20]; + [encoder setBytes:&ne2 length:sizeof(ne2) atIndex:21]; + [encoder setBytes:&ne3 length:sizeof(ne3) atIndex:22]; + [encoder setBytes:&nb0 length:sizeof(nb0) atIndex:23]; + [encoder setBytes:&pnb1 length:sizeof(pnb1) atIndex:24]; + [encoder setBytes:&pnb2 length:sizeof(pnb2) atIndex:25]; + [encoder setBytes:&pnb3 length:sizeof(pnb3) atIndex:26]; + [encoder setBytes:&offs length:sizeof(offs) atIndex:27]; - const int64_t n = ggml_nelements(dst)/4; + const int nth = MIN(1024, ne0); - [encoder dispatchThreadgroups:MTLSizeMake(n, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; + [encoder dispatchThreadgroups:MTLSizeMake(ne11, ne12, ne13) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)]; } break; case GGML_OP_SCALE: { GGML_ASSERT(ggml_is_contiguous(src0)); - const float scale = *(const float *) src1->data; + const float scale = *(const float *) dst->op_params; int64_t n = ggml_nelements(dst); @@ -970,24 +1304,23 @@ void ggml_metal_graph_compute( [encoder setComputePipelineState:ctx->pipeline_scale]; } - [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; - [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; [encoder setBytes:&scale length:sizeof(scale) atIndex:2]; [encoder dispatchThreadgroups:MTLSizeMake(n, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; } break; case GGML_OP_UNARY: switch (ggml_get_unary_op(gf->nodes[i])) { - case GGML_UNARY_OP_SILU: + case GGML_UNARY_OP_TANH: { - [encoder setComputePipelineState:ctx->pipeline_silu]; + [encoder setComputePipelineState:ctx->pipeline_tanh]; [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; const int64_t n = ggml_nelements(dst); - GGML_ASSERT(n % 4 == 0); - [encoder dispatchThreadgroups:MTLSizeMake(n/4, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; + [encoder dispatchThreadgroups:MTLSizeMake(n, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; } break; case GGML_UNARY_OP_RELU: { @@ -1008,6 +1341,28 @@ void ggml_metal_graph_compute( const int64_t n = ggml_nelements(dst); GGML_ASSERT(n % 4 == 0); + [encoder dispatchThreadgroups:MTLSizeMake(n/4, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; + } break; + case GGML_UNARY_OP_GELU_QUICK: + { + [encoder setComputePipelineState:ctx->pipeline_gelu_quick]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + + const int64_t n = ggml_nelements(dst); + GGML_ASSERT(n % 4 == 0); + + [encoder dispatchThreadgroups:MTLSizeMake(n/4, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; + } break; + case GGML_UNARY_OP_SILU: + { + [encoder setComputePipelineState:ctx->pipeline_silu]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + + const int64_t n = ggml_nelements(dst); + GGML_ASSERT(n % 4 == 0); + [encoder dispatchThreadgroups:MTLSizeMake(n/4, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; } break; default: @@ -1027,25 +1382,70 @@ void ggml_metal_graph_compute( const int64_t n = ggml_nelements(dst); [encoder dispatchThreadgroups:MTLSizeMake(n, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; } break; + case GGML_OP_SUM_ROWS: + { + GGML_ASSERT(src0->nb[0] == ggml_type_size(src0->type)); + + [encoder setComputePipelineState:ctx->pipeline_sum_rows]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + [encoder setBytes:&ne00 length:sizeof(ne00) atIndex:2]; + [encoder setBytes:&ne01 length:sizeof(ne01) atIndex:3]; + [encoder setBytes:&ne02 length:sizeof(ne02) atIndex:4]; + [encoder setBytes:&ne03 length:sizeof(ne03) atIndex:5]; + [encoder setBytes:&nb00 length:sizeof(nb00) atIndex:6]; + [encoder setBytes:&nb01 length:sizeof(nb01) atIndex:7]; + [encoder setBytes:&nb02 length:sizeof(nb02) atIndex:8]; + [encoder setBytes:&nb03 length:sizeof(nb03) atIndex:9]; + [encoder setBytes:&ne10 length:sizeof(ne10) atIndex:10]; + [encoder setBytes:&ne11 length:sizeof(ne11) atIndex:11]; + [encoder setBytes:&ne12 length:sizeof(ne12) atIndex:12]; + [encoder setBytes:&ne13 length:sizeof(ne13) atIndex:13]; + [encoder setBytes:&nb10 length:sizeof(nb10) atIndex:14]; + [encoder setBytes:&nb11 length:sizeof(nb11) atIndex:15]; + [encoder setBytes:&nb12 length:sizeof(nb12) atIndex:16]; + [encoder setBytes:&nb13 length:sizeof(nb13) atIndex:17]; + [encoder setBytes:&ne0 length:sizeof(ne0) atIndex:18]; + [encoder setBytes:&ne1 length:sizeof(ne1) atIndex:19]; + [encoder setBytes:&ne2 length:sizeof(ne2) atIndex:20]; + [encoder setBytes:&ne3 length:sizeof(ne3) atIndex:21]; + [encoder setBytes:&nb0 length:sizeof(nb0) atIndex:22]; + [encoder setBytes:&nb1 length:sizeof(nb1) atIndex:23]; + [encoder setBytes:&nb2 length:sizeof(nb2) atIndex:24]; + [encoder setBytes:&nb3 length:sizeof(nb3) atIndex:25]; + + [encoder dispatchThreadgroups:MTLSizeMake(ne01, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; + } break; case GGML_OP_SOFT_MAX: { int nth = 32; // SIMD width if (ne00%4 == 0) { + while (nth < ne00/4 && nth < 256) { + nth *= 2; + } [encoder setComputePipelineState:ctx->pipeline_soft_max_4]; } else { - do { + while (nth < ne00 && nth < 1024) { nth *= 2; - } while (nth <= ne00 && nth <= 1024); - nth /= 2; + } [encoder setComputePipelineState:ctx->pipeline_soft_max]; } - [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; - [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; - [encoder setBytes:&ne00 length:sizeof(ne00) atIndex:2]; - [encoder setBytes:&ne01 length:sizeof(ne01) atIndex:3]; - [encoder setBytes:&ne02 length:sizeof(ne02) atIndex:4]; - [encoder setThreadgroupMemoryLength:GGML_PAD(nth/32*sizeof(float), 16) atIndex:0]; + + const float scale = ((float *) dst->op_params)[0]; + + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + if (id_src1) { + [encoder setBuffer:id_src1 offset:offs_src1 atIndex:1]; + } else { + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:1]; + } + [encoder setBuffer:id_dst offset:offs_dst atIndex:2]; + [encoder setBytes:&ne00 length:sizeof(ne00) atIndex:3]; + [encoder setBytes:&ne01 length:sizeof(ne01) atIndex:4]; + [encoder setBytes:&ne02 length:sizeof(ne02) atIndex:5]; + [encoder setBytes:&scale length:sizeof(scale) atIndex:6]; + [encoder setThreadgroupMemoryLength:32*sizeof(float) atIndex:0]; [encoder dispatchThreadgroups:MTLSizeMake(ne01*ne02*ne03, 1, 1) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)]; } break; @@ -1074,9 +1474,13 @@ void ggml_metal_graph_compute( case GGML_OP_MUL_MAT: { GGML_ASSERT(ne00 == ne10); - GGML_ASSERT(ne03 == ne13); - const unsigned int gqa = ne12/ne02; + // TODO: assert that dim2 and dim3 are contiguous + GGML_ASSERT(ne12 % ne02 == 0); + GGML_ASSERT(ne13 % ne03 == 0); + + const uint r2 = ne12/ne02; + const uint r3 = ne13/ne03; // find the break-even point where the matrix-matrix kernel becomes more efficient compared // to the matrix-vector kernel @@ -1111,7 +1515,7 @@ void ggml_metal_graph_compute( !ggml_is_transposed(src1) && src1t == GGML_TYPE_F32 && ne00 % 32 == 0 && ne00 >= 64 && - ne11 > ne11_mm_min) { + (ne11 > ne11_mm_min || (ggml_is_quantized(src0t) && ne12 > 1))) { //printf("matrix: ne00 = %6d, ne01 = %6d, ne02 = %6d, ne11 = %6d, ne12 = %6d\n", ne00, ne01, ne02, ne11, ne12); switch (src0->type) { case GGML_TYPE_F32: [encoder setComputePipelineState:ctx->pipeline_mul_mm_f32_f32]; break; @@ -1141,9 +1545,10 @@ void ggml_metal_graph_compute( [encoder setBytes:&nb12 length:sizeof(nb12) atIndex:10]; [encoder setBytes:&ne0 length:sizeof(ne0) atIndex:11]; [encoder setBytes:&ne1 length:sizeof(ne1) atIndex:12]; - [encoder setBytes:&gqa length:sizeof(gqa) atIndex:13]; + [encoder setBytes:&r2 length:sizeof(r2) atIndex:13]; + [encoder setBytes:&r3 length:sizeof(r3) atIndex:14]; [encoder setThreadgroupMemoryLength:8192 atIndex:0]; - [encoder dispatchThreadgroups:MTLSizeMake( (ne11 + 31)/32, (ne01 + 63)/64, ne12) threadsPerThreadgroup:MTLSizeMake(128, 1, 1)]; + [encoder dispatchThreadgroups:MTLSizeMake( (ne11 + 31)/32, (ne01 + 63)/64, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(128, 1, 1)]; } else { int nth0 = 32; int nth1 = 1; @@ -1179,90 +1584,60 @@ void ggml_metal_graph_compute( } break; case GGML_TYPE_Q4_0: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 8; nth1 = 8; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q4_0_f32]; } break; case GGML_TYPE_Q4_1: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 8; nth1 = 8; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q4_1_f32]; } break; case GGML_TYPE_Q5_0: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 8; nth1 = 8; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q5_0_f32]; } break; case GGML_TYPE_Q5_1: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 8; nth1 = 8; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q5_1_f32]; } break; case GGML_TYPE_Q8_0: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 8; nth1 = 8; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q8_0_f32]; } break; case GGML_TYPE_Q2_K: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 2; nth1 = 32; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q2_K_f32]; } break; case GGML_TYPE_Q3_K: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 2; nth1 = 32; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q3_K_f32]; } break; case GGML_TYPE_Q4_K: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 4; //1; nth1 = 8; //32; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q4_K_f32]; } break; case GGML_TYPE_Q5_K: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 2; nth1 = 32; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q5_K_f32]; } break; case GGML_TYPE_Q6_K: { - GGML_ASSERT(ne02 == 1); - GGML_ASSERT(ne12 == 1); - nth0 = 2; nth1 = 32; [encoder setComputePipelineState:ctx->pipeline_mul_mv_q6_K_f32]; @@ -1291,31 +1666,281 @@ void ggml_metal_graph_compute( [encoder setBytes:&nb12 length:sizeof(nb12) atIndex:14]; [encoder setBytes:&ne0 length:sizeof(ne0) atIndex:15]; [encoder setBytes:&ne1 length:sizeof(ne1) atIndex:16]; - [encoder setBytes:&gqa length:sizeof(gqa) atIndex:17]; + [encoder setBytes:&r2 length:sizeof(r2) atIndex:17]; + [encoder setBytes:&r3 length:sizeof(r3) atIndex:18]; if (src0t == GGML_TYPE_Q4_0 || src0t == GGML_TYPE_Q4_1 || src0t == GGML_TYPE_Q5_0 || src0t == GGML_TYPE_Q5_1 || src0t == GGML_TYPE_Q8_0 || src0t == GGML_TYPE_Q2_K) { // || src0t == GGML_TYPE_Q4_K) { - [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 7)/8, ne11, ne12) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 7)/8, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; } else if (src0t == GGML_TYPE_Q4_K) { - [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, ne11, ne12) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; } else if (src0t == GGML_TYPE_Q3_K) { #ifdef GGML_QKK_64 - [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 1)/2, ne11, ne12) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 1)/2, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; #else - [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, ne11, ne12) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; #endif } else if (src0t == GGML_TYPE_Q5_K) { - [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, ne11, ne12) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 3)/4, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; } else if (src0t == GGML_TYPE_Q6_K) { - [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 1)/2, ne11, ne12) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + [encoder dispatchThreadgroups:MTLSizeMake((ne01 + 1)/2, ne11, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + } else { + const int64_t ny = (ne11 + nrows - 1)/nrows; + [encoder dispatchThreadgroups:MTLSizeMake(ne01, ny, ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + } + } + } break; + case GGML_OP_MUL_MAT_ID: + { + //GGML_ASSERT(ne00 == ne10); + //GGML_ASSERT(ne03 == ne13); + + GGML_ASSERT(src0t == GGML_TYPE_I32); + + const int n_as = ((int32_t *) dst->op_params)[1]; + + // TODO: make this more general + GGML_ASSERT(n_as <= 8); + + struct ggml_tensor * src2 = gf->nodes[i]->src[2]; + + const int64_t ne20 = src2 ? src2->ne[0] : 0; + const int64_t ne21 = src2 ? src2->ne[1] : 0; + const int64_t ne22 = src2 ? src2->ne[2] : 0; + const int64_t ne23 = src2 ? src2->ne[3] : 0; GGML_UNUSED(ne23); + + const uint64_t nb20 = src2 ? src2->nb[0] : 0; GGML_UNUSED(nb20); + const uint64_t nb21 = src2 ? src2->nb[1] : 0; + const uint64_t nb22 = src2 ? src2->nb[2] : 0; + const uint64_t nb23 = src2 ? src2->nb[3] : 0; GGML_UNUSED(nb23); + + const enum ggml_type src2t = src2 ? src2->type : GGML_TYPE_COUNT; GGML_UNUSED(src2t); + + GGML_ASSERT(!ggml_is_transposed(src2)); + GGML_ASSERT(!ggml_is_transposed(src1)); + + GGML_ASSERT(ne20 % 32 == 0); + // !!!!!!!!! TODO: this assert is probably required but not sure! + //GGML_ASSERT(ne20 >= 64); + GGML_ASSERT(src1t == GGML_TYPE_F32); + + const uint r2 = ne12/ne22; + const uint r3 = ne13/ne23; + + // find the break-even point where the matrix-matrix kernel becomes more efficient compared + // to the matrix-vector kernel + int ne11_mm_min = 1; + + const int idx = ((int32_t *) dst->op_params)[0]; + + // batch size + GGML_ASSERT(ne01 == ne11); + + const int64_t _ne1 = 1; // kernel_mul_mm_impl needs a reference in constant memory + + // for now the matrix-matrix multiplication kernel only works on A14+/M1+ SoCs + // AMD GPU and older A-chips will reuse matrix-vector multiplication kernel + // !!! + // TODO: for now, always use mat-vec kernels until we figure out how to improve the + // indirect matrix multiplication + // !!! + if ([ctx->device supportsFamily:MTLGPUFamilyApple7] && _ne1 > ne11_mm_min) { + switch (src2->type) { + case GGML_TYPE_F32: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_f32_f32]; break; + case GGML_TYPE_F16: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_f16_f32]; break; + case GGML_TYPE_Q4_0: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q4_0_f32]; break; + case GGML_TYPE_Q4_1: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q4_1_f32]; break; + case GGML_TYPE_Q5_0: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q5_0_f32]; break; + case GGML_TYPE_Q5_1: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q5_1_f32]; break; + case GGML_TYPE_Q8_0: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q8_0_f32]; break; + case GGML_TYPE_Q2_K: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q2_K_f32]; break; + case GGML_TYPE_Q3_K: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q3_K_f32]; break; + case GGML_TYPE_Q4_K: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q4_K_f32]; break; + case GGML_TYPE_Q5_K: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q5_K_f32]; break; + case GGML_TYPE_Q6_K: [encoder setComputePipelineState:ctx->pipeline_mul_mm_id_q6_K_f32]; break; + default: GGML_ASSERT(false && "MUL_MAT_ID not implemented"); + } + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_src1 offset:offs_src1 atIndex:1]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:2]; + [encoder setBytes:&nb01 length:sizeof(nb01) atIndex:3]; + [encoder setBytes:&ne20 length:sizeof(ne20) atIndex:4]; + [encoder setBytes:&ne22 length:sizeof(ne22) atIndex:5]; + [encoder setBytes:&nb21 length:sizeof(nb21) atIndex:6]; + [encoder setBytes:&nb22 length:sizeof(nb22) atIndex:7]; + [encoder setBytes:&ne12 length:sizeof(ne12) atIndex:8]; + [encoder setBytes:&ne13 length:sizeof(ne13) atIndex:9]; + [encoder setBytes:&nb10 length:sizeof(nb10) atIndex:10]; + [encoder setBytes:&nb11 length:sizeof(nb11) atIndex:11]; + [encoder setBytes:&nb12 length:sizeof(nb12) atIndex:12]; + [encoder setBytes:&ne0 length:sizeof(ne0) atIndex:13]; + [encoder setBytes:&_ne1 length:sizeof(_ne1) atIndex:14]; + [encoder setBytes:&nb1 length:sizeof(nb1) atIndex:15]; + [encoder setBytes:&r2 length:sizeof(r2) atIndex:16]; + [encoder setBytes:&r3 length:sizeof(r3) atIndex:17]; + [encoder setBytes:&idx length:sizeof(idx) atIndex:18]; + // TODO: how to make this an array? read Metal docs + for (int j = 0; j < n_as; ++j) { + struct ggml_tensor * src_cur = dst->src[2 + j]; + + size_t offs_src_cur = 0; + id id_src_cur = ggml_metal_get_buffer(ctx, src_cur, &offs_src_cur); + + [encoder setBuffer:id_src_cur offset:offs_src_cur atIndex:19 + j]; + } + + [encoder setThreadgroupMemoryLength:8192 atIndex:0]; + + // TODO: processing one row at a time (ne11 -> 1) is not efficient + [encoder dispatchThreadgroups:MTLSizeMake( (_ne1 + 31)/32, (ne21 + 63)/64, ne01*ne12*ne13) threadsPerThreadgroup:MTLSizeMake(128, 1, 1)]; + } else { + int nth0 = 32; + int nth1 = 1; + int nrows = 1; + //printf("vector: ne00 = %6d, ne01 = %6d, ne02 = %6d, ne11 = %6d, ne12 = %6d\n", ne00, ne01, ne02, ne11, ne12); + + // use custom matrix x vector kernel + switch (src2t) { + case GGML_TYPE_F32: + { + GGML_ASSERT(src1t == GGML_TYPE_F32); + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_f32_f32]; + } break; + case GGML_TYPE_F16: + { + GGML_ASSERT(src1t == GGML_TYPE_F32); + nth0 = 32; + nth1 = 1; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_f16_f32]; + } break; + case GGML_TYPE_Q4_0: + { + nth0 = 8; + nth1 = 8; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q4_0_f32]; + } break; + case GGML_TYPE_Q4_1: + { + nth0 = 8; + nth1 = 8; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q4_1_f32]; + } break; + case GGML_TYPE_Q5_0: + { + nth0 = 8; + nth1 = 8; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q5_0_f32]; + } break; + case GGML_TYPE_Q5_1: + { + nth0 = 8; + nth1 = 8; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q5_1_f32]; + } break; + case GGML_TYPE_Q8_0: + { + nth0 = 8; + nth1 = 8; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q8_0_f32]; + } break; + case GGML_TYPE_Q2_K: + { + nth0 = 2; + nth1 = 32; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q2_K_f32]; + } break; + case GGML_TYPE_Q3_K: + { + nth0 = 2; + nth1 = 32; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q3_K_f32]; + } break; + case GGML_TYPE_Q4_K: + { + nth0 = 4; //1; + nth1 = 8; //32; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q4_K_f32]; + } break; + case GGML_TYPE_Q5_K: + { + nth0 = 2; + nth1 = 32; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q5_K_f32]; + } break; + case GGML_TYPE_Q6_K: + { + nth0 = 2; + nth1 = 32; + [encoder setComputePipelineState:ctx->pipeline_mul_mv_id_q6_K_f32]; + } break; + default: + { + GGML_METAL_LOG_ERROR("Asserting on type %d\n", (int)src0t); + GGML_ASSERT(false && "not implemented"); + } + }; + + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_src1 offset:offs_src1 atIndex:1]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:2]; + [encoder setBytes:&nb01 length:sizeof(nb01) atIndex:3]; + [encoder setBytes:&ne20 length:sizeof(ne20) atIndex:4]; + [encoder setBytes:&ne21 length:sizeof(ne21) atIndex:5]; + [encoder setBytes:&ne22 length:sizeof(ne22) atIndex:6]; + [encoder setBytes:&nb20 length:sizeof(nb20) atIndex:7]; + [encoder setBytes:&nb21 length:sizeof(nb21) atIndex:8]; + [encoder setBytes:&nb22 length:sizeof(nb22) atIndex:9]; + [encoder setBytes:&ne10 length:sizeof(ne10) atIndex:10]; + [encoder setBytes:&_ne1 length:sizeof(_ne1) atIndex:11]; + [encoder setBytes:&ne12 length:sizeof(ne12) atIndex:12]; + [encoder setBytes:&ne13 length:sizeof(ne13) atIndex:13]; + [encoder setBytes:&nb10 length:sizeof(nb10) atIndex:14]; + [encoder setBytes:&nb11 length:sizeof(nb11) atIndex:15]; + [encoder setBytes:&nb12 length:sizeof(nb12) atIndex:16]; + [encoder setBytes:&ne0 length:sizeof(ne0) atIndex:17]; + [encoder setBytes:&_ne1 length:sizeof(_ne1) atIndex:18]; + [encoder setBytes:&nb1 length:sizeof(nb1) atIndex:19]; + [encoder setBytes:&r2 length:sizeof(r2) atIndex:20]; + [encoder setBytes:&r3 length:sizeof(r3) atIndex:21]; + [encoder setBytes:&idx length:sizeof(idx) atIndex:22]; + // TODO: how to make this an array? read Metal docs + for (int j = 0; j < n_as; ++j) { + struct ggml_tensor * src_cur = dst->src[2 + j]; + + size_t offs_src_cur = 0; + id id_src_cur = ggml_metal_get_buffer(ctx, src_cur, &offs_src_cur); + + [encoder setBuffer:id_src_cur offset:offs_src_cur atIndex:23 + j]; + } + + if (src2t == GGML_TYPE_Q4_0 || src2t == GGML_TYPE_Q4_1 || + src2t == GGML_TYPE_Q5_0 || src2t == GGML_TYPE_Q5_1 || src2t == GGML_TYPE_Q8_0 || + src2t == GGML_TYPE_Q2_K) { // || src2t == GGML_TYPE_Q4_K) { + [encoder dispatchThreadgroups:MTLSizeMake((ne21 + 7)/8, _ne1, ne01*ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + } + else if (src2t == GGML_TYPE_Q4_K) { + [encoder dispatchThreadgroups:MTLSizeMake((ne21 + 3)/4, _ne1, ne01*ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + } + else if (src2t == GGML_TYPE_Q3_K) { +#ifdef GGML_QKK_64 + [encoder dispatchThreadgroups:MTLSizeMake((ne21 + 1)/2, _ne1, ne01*ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; +#else + [encoder dispatchThreadgroups:MTLSizeMake((ne21 + 3)/4, _ne1, ne01*ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; +#endif + } + else if (src2t == GGML_TYPE_Q5_K) { + [encoder dispatchThreadgroups:MTLSizeMake((ne21 + 3)/4, _ne1, ne01*ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + } + else if (src2t == GGML_TYPE_Q6_K) { + [encoder dispatchThreadgroups:MTLSizeMake((ne21 + 1)/2, _ne1, ne01*ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; } else { - int64_t ny = (ne11 + nrows - 1)/nrows; - [encoder dispatchThreadgroups:MTLSizeMake(ne01, ny, ne12) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; + const int64_t ny = (_ne1 + nrows - 1)/nrows; + [encoder dispatchThreadgroups:MTLSizeMake(ne21, ny, ne01*ne12*ne13) threadsPerThreadgroup:MTLSizeMake(nth0, nth1, 1)]; } } } break; @@ -1337,16 +1962,19 @@ void ggml_metal_graph_compute( default: GGML_ASSERT(false && "not implemented"); } - [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; - [encoder setBuffer:id_src1 offset:offs_src1 atIndex:1]; - [encoder setBuffer:id_dst offset:offs_dst atIndex:2]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_src1 offset:offs_src1 atIndex:1]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:2]; [encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:3]; [encoder setBytes:&nb01 length:sizeof(uint64_t) atIndex:4]; - [encoder setBytes:&nb1 length:sizeof(uint64_t) atIndex:5]; - - const int64_t n = ggml_nelements(src1); - - [encoder dispatchThreadgroups:MTLSizeMake(n, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; + [encoder setBytes:&nb02 length:sizeof(uint64_t) atIndex:5]; + [encoder setBytes:&ne10 length:sizeof( int64_t) atIndex:6]; + [encoder setBytes:&nb10 length:sizeof( int64_t) atIndex:7]; + [encoder setBytes:&nb11 length:sizeof( int64_t) atIndex:8]; + [encoder setBytes:&nb1 length:sizeof(uint64_t) atIndex:9]; + [encoder setBytes:&nb2 length:sizeof(uint64_t) atIndex:10]; + + [encoder dispatchThreadgroups:MTLSizeMake(ne10, ne11, 1) threadsPerThreadgroup:MTLSizeMake(32, 1, 1)]; } break; case GGML_OP_RMS_NORM: { @@ -1355,20 +1983,56 @@ void ggml_metal_graph_compute( float eps; memcpy(&eps, dst->op_params, sizeof(float)); - const int nth = MIN(512, ne00); + int nth = 32; // SIMD width + + while (nth < ne00/4 && nth < 1024) { + nth *= 2; + } [encoder setComputePipelineState:ctx->pipeline_rms_norm]; - [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; - [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; - [encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:2]; - [encoder setBytes:&nb01 length:sizeof(uint64_t) atIndex:3]; - [encoder setBytes:&eps length:sizeof( float) atIndex:4]; - [encoder setThreadgroupMemoryLength:GGML_PAD(nth/32*sizeof(float), 16) atIndex:0]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + [encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:2]; + [encoder setBytes:&nb01 length:sizeof(uint64_t) atIndex:3]; + [encoder setBytes:&eps length:sizeof( float) atIndex:4]; + [encoder setThreadgroupMemoryLength:32*sizeof(float) atIndex:0]; const int64_t nrows = ggml_nrows(src0); [encoder dispatchThreadgroups:MTLSizeMake(nrows, 1, 1) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)]; } break; + case GGML_OP_GROUP_NORM: + { + GGML_ASSERT(ne00 % 4 == 0); + + //float eps; + //memcpy(&eps, dst->op_params, sizeof(float)); + + const float eps = 1e-6f; // TODO: temporarily hardcoded + + const int32_t n_groups = ((int32_t *) dst->op_params)[0]; + + int nth = 32; // SIMD width + + //while (nth < ne00/4 && nth < 1024) { + // nth *= 2; + //} + + [encoder setComputePipelineState:ctx->pipeline_group_norm]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + [encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:2]; + [encoder setBytes:&ne01 length:sizeof( int64_t) atIndex:3]; + [encoder setBytes:&ne02 length:sizeof( int64_t) atIndex:4]; + [encoder setBytes:&nb00 length:sizeof(uint64_t) atIndex:5]; + [encoder setBytes:&nb01 length:sizeof(uint64_t) atIndex:6]; + [encoder setBytes:&nb02 length:sizeof(uint64_t) atIndex:7]; + [encoder setBytes:&n_groups length:sizeof( int32_t) atIndex:8]; + [encoder setBytes:&eps length:sizeof( float) atIndex:9]; + [encoder setThreadgroupMemoryLength:32*sizeof(float) atIndex:0]; + + [encoder dispatchThreadgroups:MTLSizeMake(n_groups, 1, 1) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)]; + } break; case GGML_OP_NORM: { float eps; @@ -1437,7 +2101,8 @@ void ggml_metal_graph_compute( const int n_past = ((int32_t *) dst->op_params)[0]; const int n_dims = ((int32_t *) dst->op_params)[1]; const int mode = ((int32_t *) dst->op_params)[2]; - const int n_orig_ctx = ((int32_t *) dst->op_params)[3]; + // skip 3, n_ctx, used in GLM RoPE, unimplemented in metal + const int n_orig_ctx = ((int32_t *) dst->op_params)[4]; float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow; memcpy(&freq_base, (int32_t *) dst->op_params + 5, sizeof(float)); @@ -1537,18 +2202,123 @@ void ggml_metal_graph_compute( [encoder dispatchThreadgroups:MTLSizeMake(IC, OH, OW) threadsPerThreadgroup:MTLSizeMake(N, KH, KW)]; } break; + case GGML_OP_UPSCALE: + { + GGML_ASSERT(src0->type == GGML_TYPE_F32); + + const int sf = dst->op_params[0]; + + [encoder setComputePipelineState:ctx->pipeline_upscale_f32]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + [encoder setBytes:&ne00 length:sizeof(ne00) atIndex:2]; + [encoder setBytes:&ne01 length:sizeof(ne01) atIndex:3]; + [encoder setBytes:&ne02 length:sizeof(ne02) atIndex:4]; + [encoder setBytes:&ne03 length:sizeof(ne03) atIndex:5]; + [encoder setBytes:&nb00 length:sizeof(nb00) atIndex:6]; + [encoder setBytes:&nb01 length:sizeof(nb01) atIndex:7]; + [encoder setBytes:&nb02 length:sizeof(nb02) atIndex:8]; + [encoder setBytes:&nb03 length:sizeof(nb03) atIndex:9]; + [encoder setBytes:&ne0 length:sizeof(ne0) atIndex:10]; + [encoder setBytes:&ne1 length:sizeof(ne1) atIndex:11]; + [encoder setBytes:&ne2 length:sizeof(ne2) atIndex:12]; + [encoder setBytes:&ne3 length:sizeof(ne3) atIndex:13]; + [encoder setBytes:&nb0 length:sizeof(nb0) atIndex:14]; + [encoder setBytes:&nb1 length:sizeof(nb1) atIndex:15]; + [encoder setBytes:&nb2 length:sizeof(nb2) atIndex:16]; + [encoder setBytes:&nb3 length:sizeof(nb3) atIndex:17]; + [encoder setBytes:&sf length:sizeof(sf) atIndex:18]; + + const int nth = MIN(1024, ne0); + + [encoder dispatchThreadgroups:MTLSizeMake(ne1, ne2, ne3) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)]; + } break; + case GGML_OP_PAD: + { + GGML_ASSERT(src0->type == GGML_TYPE_F32); + + [encoder setComputePipelineState:ctx->pipeline_pad_f32]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + [encoder setBytes:&ne00 length:sizeof(ne00) atIndex:2]; + [encoder setBytes:&ne01 length:sizeof(ne01) atIndex:3]; + [encoder setBytes:&ne02 length:sizeof(ne02) atIndex:4]; + [encoder setBytes:&ne03 length:sizeof(ne03) atIndex:5]; + [encoder setBytes:&nb00 length:sizeof(nb00) atIndex:6]; + [encoder setBytes:&nb01 length:sizeof(nb01) atIndex:7]; + [encoder setBytes:&nb02 length:sizeof(nb02) atIndex:8]; + [encoder setBytes:&nb03 length:sizeof(nb03) atIndex:9]; + [encoder setBytes:&ne0 length:sizeof(ne0) atIndex:10]; + [encoder setBytes:&ne1 length:sizeof(ne1) atIndex:11]; + [encoder setBytes:&ne2 length:sizeof(ne2) atIndex:12]; + [encoder setBytes:&ne3 length:sizeof(ne3) atIndex:13]; + [encoder setBytes:&nb0 length:sizeof(nb0) atIndex:14]; + [encoder setBytes:&nb1 length:sizeof(nb1) atIndex:15]; + [encoder setBytes:&nb2 length:sizeof(nb2) atIndex:16]; + [encoder setBytes:&nb3 length:sizeof(nb3) atIndex:17]; + + const int nth = MIN(1024, ne0); + + [encoder dispatchThreadgroups:MTLSizeMake(ne1, ne2, ne3) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)]; + } break; + case GGML_OP_ARGSORT: + { + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_I32); + + const int nrows = ggml_nrows(src0); + + enum ggml_sort_order order = (enum ggml_sort_order) dst->op_params[0]; + + switch (order) { + case GGML_SORT_ASC: [encoder setComputePipelineState:ctx->pipeline_argsort_f32_i32_asc]; break; + case GGML_SORT_DESC: [encoder setComputePipelineState:ctx->pipeline_argsort_f32_i32_desc]; break; + default: GGML_ASSERT(false); + }; + + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + [encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:2]; + + [encoder dispatchThreadgroups:MTLSizeMake(1, nrows, 1) threadsPerThreadgroup:MTLSizeMake(ne00, 1, 1)]; + } break; + case GGML_OP_LEAKY_RELU: + { + GGML_ASSERT(src0->type == GGML_TYPE_F32); + + float slope; + memcpy(&slope, dst->op_params, sizeof(float)); + + [encoder setComputePipelineState:ctx->pipeline_leaky_relu_f32]; + [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0]; + [encoder setBuffer:id_dst offset:offs_dst atIndex:1]; + [encoder setBytes:&slope length:sizeof(slope) atIndex:2]; + + const int64_t n = ggml_nelements(dst); + + [encoder dispatchThreadgroups:MTLSizeMake(n, 1, 1) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)]; + } break; case GGML_OP_DUP: case GGML_OP_CPY: case GGML_OP_CONT: { - const int nth = MIN(1024, ne00); + GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0); + + int nth = MIN(1024, ne00/ggml_blck_size(src0->type)); switch (src0t) { case GGML_TYPE_F32: { + GGML_ASSERT(ne0 % ggml_blck_size(dst->type) == 0); + switch (dstt) { - case GGML_TYPE_F16: [encoder setComputePipelineState:ctx->pipeline_cpy_f32_f16]; break; - case GGML_TYPE_F32: [encoder setComputePipelineState:ctx->pipeline_cpy_f32_f32]; break; + case GGML_TYPE_F16: [encoder setComputePipelineState:ctx->pipeline_cpy_f32_f16]; break; + case GGML_TYPE_F32: [encoder setComputePipelineState:ctx->pipeline_cpy_f32_f32]; break; + case GGML_TYPE_Q8_0: [encoder setComputePipelineState:ctx->pipeline_cpy_f32_q8_0]; break; + case GGML_TYPE_Q4_0: [encoder setComputePipelineState:ctx->pipeline_cpy_f32_q4_0]; break; + case GGML_TYPE_Q4_1: [encoder setComputePipelineState:ctx->pipeline_cpy_f32_q4_1]; break; + //case GGML_TYPE_Q5_0: [encoder setComputePipelineState:ctx->pipeline_cpy_f32_q5_0]; break; + //case GGML_TYPE_Q5_1: [encoder setComputePipelineState:ctx->pipeline_cpy_f32_q5_1]; break; default: GGML_ASSERT(false && "not implemented"); }; } break; @@ -1556,7 +2326,7 @@ void ggml_metal_graph_compute( { switch (dstt) { case GGML_TYPE_F16: [encoder setComputePipelineState:ctx->pipeline_cpy_f16_f16]; break; - case GGML_TYPE_F32: GGML_ASSERT(false && "cpy_f16_f32 not implemented"); break; + case GGML_TYPE_F32: [encoder setComputePipelineState:ctx->pipeline_cpy_f16_f32]; break; default: GGML_ASSERT(false && "not implemented"); }; } break; @@ -1623,81 +2393,274 @@ void ggml_metal_graph_compute( // backend interface -static const char * ggml_backend_metal_name(ggml_backend_t backend) { - return "Metal"; +// default buffer +static id g_backend_device = nil; +static int g_backend_device_ref_count = 0; - UNUSED(backend); +static id ggml_backend_metal_get_device(void) { + if (g_backend_device == nil) { + g_backend_device = MTLCreateSystemDefaultDevice(); + } + + g_backend_device_ref_count++; + + return g_backend_device; } -static void ggml_backend_metal_free(ggml_backend_t backend) { - struct ggml_metal_context * ctx = (struct ggml_metal_context *)backend->context; - ggml_metal_free(ctx); - free(backend); +static void ggml_backend_metal_free_device(void) { + assert(g_backend_device_ref_count > 0); + + g_backend_device_ref_count--; + + if (g_backend_device_ref_count == 0) { + [g_backend_device release]; + g_backend_device = nil; + } } static void * ggml_backend_metal_buffer_get_base(ggml_backend_buffer_t buffer) { - return (void *)buffer->context; + struct ggml_backend_metal_buffer_context * ctx = (struct ggml_backend_metal_buffer_context *)buffer->context; + + return ctx->all_data; } static void ggml_backend_metal_buffer_free_buffer(ggml_backend_buffer_t buffer) { - free(buffer->context); + struct ggml_backend_metal_buffer_context * ctx = (struct ggml_backend_metal_buffer_context *)buffer->context; + + for (int i = 0; i < ctx->n_buffers; i++) { + [ctx->buffers[i].metal release]; + } + ggml_backend_metal_free_device(); + + if (ctx->owned) { + free(ctx->all_data); + } + + free(ctx); +} + +static void ggml_backend_metal_buffer_set_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) { + memcpy((char *)tensor->data + offset, data, size); + + UNUSED(buffer); +} + +static void ggml_backend_metal_buffer_get_tensor(ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) { + memcpy(data, (const char *)tensor->data + offset, size); + + UNUSED(buffer); +} + +static void ggml_backend_metal_buffer_cpy_tensor_from(ggml_backend_buffer_t buffer, struct ggml_tensor * src, struct ggml_tensor * dst) { + ggml_backend_tensor_get(src, dst->data, 0, ggml_nbytes(src)); + + UNUSED(buffer); +} + +static void ggml_backend_metal_buffer_cpy_tensor_to(ggml_backend_buffer_t buffer, struct ggml_tensor * src, struct ggml_tensor * dst) { + ggml_backend_tensor_set(dst, src->data, 0, ggml_nbytes(src)); + UNUSED(buffer); } -static struct ggml_backend_buffer_i metal_backend_buffer_i = { - /* .free_buffer = */ ggml_backend_metal_buffer_free_buffer, - /* .get_base = */ ggml_backend_metal_buffer_get_base, - /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes - /* .init_tensor = */ NULL, // no initialization required - /* .free_tensor = */ NULL, // no cleanup required +static void ggml_backend_metal_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { + struct ggml_backend_metal_buffer_context * ctx = (struct ggml_backend_metal_buffer_context *)buffer->context; + + memset(ctx->all_data, value, ctx->all_size); +} + +static struct ggml_backend_buffer_i ggml_backend_metal_buffer_i = { + /* .free_buffer = */ ggml_backend_metal_buffer_free_buffer, + /* .get_base = */ ggml_backend_metal_buffer_get_base, + /* .init_tensor = */ NULL, + /* .set_tensor = */ ggml_backend_metal_buffer_set_tensor, + /* .get_tensor = */ ggml_backend_metal_buffer_get_tensor, + /* .cpy_tensor_from = */ ggml_backend_metal_buffer_cpy_tensor_from, + /* .cpy_tensor_to = */ ggml_backend_metal_buffer_cpy_tensor_to, + /* .clear = */ ggml_backend_metal_buffer_clear, }; -static ggml_backend_buffer_t ggml_backend_metal_alloc_buffer(ggml_backend_t backend, size_t size) { - struct ggml_metal_context * ctx = (struct ggml_metal_context *)backend->context; +// default buffer type + +static ggml_backend_buffer_t ggml_backend_metal_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { + struct ggml_backend_metal_buffer_context * ctx = malloc(sizeof(struct ggml_backend_metal_buffer_context)); + + const size_t size_page = sysconf(_SC_PAGESIZE); + + size_t size_aligned = size; + if ((size_aligned % size_page) != 0) { + size_aligned += (size_page - (size_aligned % size_page)); + } + + id device = ggml_backend_metal_get_device(); + + ctx->all_data = ggml_metal_host_malloc(size_aligned); + ctx->all_size = size_aligned; + ctx->owned = true; + ctx->n_buffers = 1; - void * data = ggml_metal_host_malloc(size); + ctx->buffers[0].data = ctx->all_data; + ctx->buffers[0].size = size; + ctx->buffers[0].metal = [device newBufferWithBytesNoCopy:ctx->all_data + length:size_aligned + options:MTLResourceStorageModeShared + deallocator:nil]; + + if (ctx->buffers[0].metal == nil) { + GGML_METAL_LOG_ERROR("%s: error: failed to allocate buffer, size = %8.2f MiB\n", __func__, size_aligned / 1024.0 / 1024.0); + free(ctx); + ggml_backend_metal_free_device(); + return NULL; + } + + GGML_METAL_LOG_INFO("%s: allocated buffer, size = %8.2f MiB", __func__, size_aligned / 1024.0 / 1024.0); + + +#if TARGET_OS_OSX + GGML_METAL_LOG_INFO(", (%8.2f / %8.2f)", + device.currentAllocatedSize / 1024.0 / 1024.0, + device.recommendedMaxWorkingSetSize / 1024.0 / 1024.0); + + if (device.currentAllocatedSize > device.recommendedMaxWorkingSetSize) { + GGML_METAL_LOG_WARN("%s: warning: current allocated size is greater than the recommended max working set size\n", __func__); + } else { + GGML_METAL_LOG_INFO("\n"); + } +#else + GGML_METAL_LOG_INFO(", (%8.2f)\n", device.currentAllocatedSize / 1024.0 / 1024.0); +#endif - // TODO: set proper name of the buffers - ggml_metal_add_buffer(ctx, "backend", data, size, 0); - return ggml_backend_buffer_init(backend, metal_backend_buffer_i, data, size); + return ggml_backend_buffer_init(buft, ggml_backend_metal_buffer_i, ctx, size); } -static size_t ggml_backend_metal_get_alignment(ggml_backend_t backend) { +static size_t ggml_backend_metal_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) { return 32; - UNUSED(backend); + UNUSED(buft); } -static void ggml_backend_metal_set_tensor_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) { - GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds"); - GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); - - memcpy((char *)tensor->data + offset, data, size); +static bool ggml_backend_metal_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) { + return ggml_backend_is_metal(backend) || ggml_backend_is_cpu(backend); - UNUSED(backend); + UNUSED(buft); } -static void ggml_backend_metal_get_tensor_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) { - GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor read out of bounds"); - GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); +static bool ggml_backend_metal_buffer_type_is_host(ggml_backend_buffer_type_t buft) { + return true; - memcpy(data, (const char *)tensor->data + offset, size); + UNUSED(buft); +} - UNUSED(backend); +ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void) { + static struct ggml_backend_buffer_type ggml_backend_buffer_type_metal = { + /* .iface = */ { + /* .alloc_buffer = */ ggml_backend_metal_buffer_type_alloc_buffer, + /* .get_alignment = */ ggml_backend_metal_buffer_type_get_alignment, + /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes + /* .supports_backend = */ ggml_backend_metal_buffer_type_supports_backend, + /* .is_host = */ ggml_backend_metal_buffer_type_is_host, + }, + /* .context = */ NULL, + }; + + return &ggml_backend_buffer_type_metal; } -static void ggml_backend_metal_synchronize(ggml_backend_t backend) { - UNUSED(backend); +// buffer from ptr + +ggml_backend_buffer_t ggml_backend_metal_buffer_from_ptr(void * data, size_t size, size_t max_size) { + struct ggml_backend_metal_buffer_context * ctx = malloc(sizeof(struct ggml_backend_metal_buffer_context)); + + ctx->all_data = data; + ctx->all_size = size; + ctx->owned = false; + ctx->n_buffers = 0; + + const size_t size_page = sysconf(_SC_PAGESIZE); + size_t size_aligned = size; + if ((size_aligned % size_page) != 0) { + size_aligned += (size_page - (size_aligned % size_page)); + } + + id device = ggml_backend_metal_get_device(); + + // the buffer fits into the max buffer size allowed by the device + if (size_aligned <= device.maxBufferLength) { + ctx->buffers[ctx->n_buffers].data = data; + ctx->buffers[ctx->n_buffers].size = size; + + ctx->buffers[ctx->n_buffers].metal = [device newBufferWithBytesNoCopy:data length:size_aligned options:MTLResourceStorageModeShared deallocator:nil]; + + if (ctx->buffers[ctx->n_buffers].metal == nil) { + GGML_METAL_LOG_ERROR("%s: error: failed to allocate buffer, size = %8.2f MiB\n", __func__, size_aligned / 1024.0 / 1024.0); + return false; + } + + GGML_METAL_LOG_INFO("%s: allocated buffer, size = %8.2f MiB", __func__, size_aligned / 1024.0 / 1024.0); + + ++ctx->n_buffers; + } else { + // this overlap between the views will guarantee that the tensor with the maximum size will fully fit into + // one of the views + const size_t size_ovlp = ((max_size + size_page - 1) / size_page + 1) * size_page; // round-up 2 pages just in case + const size_t size_step = device.maxBufferLength - size_ovlp; + const size_t size_view = device.maxBufferLength; + + for (size_t i = 0; i < size; i += size_step) { + const size_t size_step_aligned = (i + size_view <= size) ? size_view : (size_aligned - i); + + ctx->buffers[ctx->n_buffers].data = (void *) ((uint8_t *) data + i); + ctx->buffers[ctx->n_buffers].size = size_step_aligned; + + ctx->buffers[ctx->n_buffers].metal = [device newBufferWithBytesNoCopy:(void *) ((uint8_t *) data + i) length:size_step_aligned options:MTLResourceStorageModeShared deallocator:nil]; + + if (ctx->buffers[ctx->n_buffers].metal == nil) { + GGML_METAL_LOG_ERROR("%s: error: failed to allocate buffer, size = %8.2f MiB\n", __func__, size_step_aligned / 1024.0 / 1024.0); + return false; + } + + GGML_METAL_LOG_INFO("%s: allocated buffer, size = %8.2f MiB, offs = %12ld", __func__, size_step_aligned / 1024.0 / 1024.0, i); + if (i + size_step < size) { + GGML_METAL_LOG_INFO("\n"); + } + + ++ctx->n_buffers; + } + } + +#if TARGET_OS_OSX + GGML_METAL_LOG_INFO(", (%8.2f / %8.2f)", + device.currentAllocatedSize / 1024.0 / 1024.0, + device.recommendedMaxWorkingSetSize / 1024.0 / 1024.0); + + if (device.currentAllocatedSize > device.recommendedMaxWorkingSetSize) { + GGML_METAL_LOG_WARN("%s: warning: current allocated size is greater than the recommended max working set size\n", __func__); + } else { + GGML_METAL_LOG_INFO("\n"); + } +#else + GGML_METAL_LOG_INFO(", (%8.2f)\n", device.currentAllocatedSize / 1024.0 / 1024.0); +#endif + + return ggml_backend_buffer_init(ggml_backend_metal_buffer_type(), ggml_backend_metal_buffer_i, ctx, size); } -static void ggml_backend_metal_cpy_tensor_from(ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst) { - ggml_backend_tensor_get(src, dst->data, 0, ggml_nbytes(src)); +// backend + +static const char * ggml_backend_metal_name(ggml_backend_t backend) { + return "Metal"; UNUSED(backend); } -static void ggml_backend_metal_cpy_tensor_to(ggml_backend_t backend, struct ggml_tensor * src, struct ggml_tensor * dst) { - ggml_backend_tensor_set_async(dst, src->data, 0, ggml_nbytes(src)); +static void ggml_backend_metal_free(ggml_backend_t backend) { + struct ggml_metal_context * ctx = (struct ggml_metal_context *)backend->context; + ggml_metal_free(ctx); + free(backend); +} + +static ggml_backend_buffer_type_t ggml_backend_metal_get_default_buffer_type(ggml_backend_t backend) { + return ggml_backend_metal_buffer_type(); UNUSED(backend); } @@ -1709,32 +2672,33 @@ static void ggml_backend_metal_graph_compute(ggml_backend_t backend, struct ggml } static bool ggml_backend_metal_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) { - return true; + return ggml_metal_supports_op(op); + UNUSED(backend); - UNUSED(op); } static struct ggml_backend_i metal_backend_i = { - /* .get_name = */ ggml_backend_metal_name, - /* .free = */ ggml_backend_metal_free, - /* .alloc_buffer = */ ggml_backend_metal_alloc_buffer, - /* .get_alignment = */ ggml_backend_metal_get_alignment, - /* .set_tensor_async = */ ggml_backend_metal_set_tensor_async, - /* .get_tensor_async = */ ggml_backend_metal_get_tensor_async, - /* .synchronize = */ ggml_backend_metal_synchronize, - /* .cpy_tensor_from = */ ggml_backend_metal_cpy_tensor_from, - /* .cpy_tensor_to = */ ggml_backend_metal_cpy_tensor_to, - /* .graph_plan_create = */ NULL, // the metal implementation does not require creating graph plans atm - /* .graph_plan_free = */ NULL, - /* .graph_plan_compute = */ NULL, - /* .graph_compute = */ ggml_backend_metal_graph_compute, - /* .supports_op = */ ggml_backend_metal_supports_op, + /* .get_name = */ ggml_backend_metal_name, + /* .free = */ ggml_backend_metal_free, + /* .get_default_buffer_type = */ ggml_backend_metal_get_default_buffer_type, + /* .set_tensor_async = */ NULL, + /* .get_tensor_async = */ NULL, + /* .cpy_tensor_from_async = */ NULL, + /* .cpy_tensor_to_async = */ NULL, + /* .synchronize = */ NULL, + /* .graph_plan_create = */ NULL, + /* .graph_plan_free = */ NULL, + /* .graph_plan_compute = */ NULL, + /* .graph_compute = */ ggml_backend_metal_graph_compute, + /* .supports_op = */ ggml_backend_metal_supports_op, }; ggml_backend_t ggml_backend_metal_init(void) { - struct ggml_metal_context * ctx = malloc(sizeof(struct ggml_metal_context)); + struct ggml_metal_context * ctx = ggml_metal_init(GGML_DEFAULT_N_THREADS); - ctx = ggml_metal_init(GGML_DEFAULT_N_THREADS); + if (ctx == NULL) { + return NULL; + } ggml_backend_t metal_backend = malloc(sizeof(struct ggml_backend)); @@ -1751,13 +2715,26 @@ bool ggml_backend_is_metal(ggml_backend_t backend) { } void ggml_backend_metal_set_n_cb(ggml_backend_t backend, int n_cb) { + GGML_ASSERT(ggml_backend_is_metal(backend)); + struct ggml_metal_context * ctx = (struct ggml_metal_context *)backend->context; ggml_metal_set_n_cb(ctx, n_cb); } bool ggml_backend_metal_supports_family(ggml_backend_t backend, int family) { + GGML_ASSERT(ggml_backend_is_metal(backend)); + struct ggml_metal_context * ctx = (struct ggml_metal_context *)backend->context; - return ggml_metal_supports_family(ctx, family); + return [ctx->device supportsFamily:(MTLGPUFamilyApple1 + family - 1)]; +} + +ggml_backend_t ggml_backend_reg_metal_init(const char * params, void * user_data); // silence warning + +ggml_backend_t ggml_backend_reg_metal_init(const char * params, void * user_data) { + return ggml_backend_metal_init(); + + GGML_UNUSED(params); + GGML_UNUSED(user_data); } diff --git a/ggml-metal.metal b/ggml-metal.metal index 5d1357cd72d..d5b54e112ea 100644 --- a/ggml-metal.metal +++ b/ggml-metal.metal @@ -3,6 +3,8 @@ using namespace metal; #define MAX(x, y) ((x) > (y) ? (x) : (y)) +#define MIN(x, y) ((x) < (y) ? (x) : (y)) +#define SWAP(x, y) { auto tmp = (x); (x) = (y); (y) = tmp; } #define QK4_0 32 #define QR4_0 2 @@ -39,8 +41,15 @@ typedef struct { int8_t qs[QK8_0]; // quants } block_q8_0; -// general-purpose kernel for addition of two tensors -// pros: works for non-contiguous tensors, supports broadcast across dims 1, 2 and 3 +#define N_SIMDWIDTH 32 // assuming SIMD group size is 32 + +enum ggml_sort_order { + GGML_SORT_ASC, + GGML_SORT_DESC, +}; + +// general-purpose kernel for addition, multiplication and division of two tensors +// pros: works for non-contiguous tensors, supports broadcast across all dims // cons: not very efficient kernel void kernel_add( device const char * src0, @@ -70,6 +79,7 @@ kernel void kernel_add( constant int64_t & nb1, constant int64_t & nb2, constant int64_t & nb3, + constant int64_t & offs, uint3 tgpig[[threadgroup_position_in_grid]], uint3 tpitg[[thread_position_in_threadgroup]], uint3 ntg[[threads_per_threadgroup]]) { @@ -81,16 +91,111 @@ kernel void kernel_add( const int64_t i12 = i02 % ne12; const int64_t i11 = i01 % ne11; - device const char * src0_ptr = src0 + i03*nb03 + i02*nb02 + i01*nb01 + tpitg.x*nb00; - device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11 + tpitg.x*nb10; - device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1 + tpitg.x*nb0; + device const char * src0_ptr = src0 + i03*nb03 + i02*nb02 + i01*nb01 + offs; + device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11; + device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1 + offs; for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { - ((device float *)dst_ptr)[0] = ((device float *)src0_ptr)[0] + ((device float *)src1_ptr)[0]; + const int i10 = i0 % ne10; + *((device float *)(dst_ptr + i0*nb0)) = *((device float *)(src0_ptr + i0*nb00)) + *((device float *)(src1_ptr + i10*nb10)); + } +} + +kernel void kernel_mul( + device const char * src0, + device const char * src1, + device char * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant int64_t & nb00, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & nb03, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & nb13, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant int64_t & nb0, + constant int64_t & nb1, + constant int64_t & nb2, + constant int64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig.z; + const int64_t i02 = tgpig.y; + const int64_t i01 = tgpig.x; + + const int64_t i13 = i03 % ne13; + const int64_t i12 = i02 % ne12; + const int64_t i11 = i01 % ne11; + + device const char * src0_ptr = src0 + i03*nb03 + i02*nb02 + i01*nb01; + device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11; + device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1; + + for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { + const int i10 = i0 % ne10; + *((device float *)(dst_ptr + i0*nb0)) = *((device float *)(src0_ptr + i0*nb00)) * *((device float *)(src1_ptr + i10*nb10)); + } +} + +kernel void kernel_div( + device const char * src0, + device const char * src1, + device char * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant int64_t & nb00, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & nb03, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & nb13, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant int64_t & nb0, + constant int64_t & nb1, + constant int64_t & nb2, + constant int64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig.z; + const int64_t i02 = tgpig.y; + const int64_t i01 = tgpig.x; + + const int64_t i13 = i03 % ne13; + const int64_t i12 = i02 % ne12; + const int64_t i11 = i01 % ne11; + + device const char * src0_ptr = src0 + i03*nb03 + i02*nb02 + i01*nb01; + device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11; + device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1; - src0_ptr += ntg.x*nb00; - src1_ptr += ntg.x*nb10; - dst_ptr += ntg.x*nb0; + for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { + const int i10 = i0 % ne10; + *((device float *)(dst_ptr + i0*nb0)) = *((device float *)(src0_ptr + i0*nb00)) / *((device float *)(src1_ptr + i10*nb10)); } } @@ -100,28 +205,27 @@ kernel void kernel_add_row( device const float4 * src0, device const float4 * src1, device float4 * dst, - constant int64_t & nb [[buffer(27)]], + constant int64_t & nb [[buffer(28)]], uint tpig[[thread_position_in_grid]]) { dst[tpig] = src0[tpig] + src1[tpig % nb]; } -kernel void kernel_mul( +kernel void kernel_mul_row( device const float4 * src0, device const float4 * src1, device float4 * dst, + constant int64_t & nb [[buffer(28)]], uint tpig[[thread_position_in_grid]]) { - dst[tpig] = src0[tpig] * src1[tpig]; + dst[tpig] = src0[tpig] * src1[tpig % nb]; } -// assumption: src1 is a row -// broadcast src1 into src0 -kernel void kernel_mul_row( +kernel void kernel_div_row( device const float4 * src0, device const float4 * src1, device float4 * dst, - constant int64_t & nb, + constant int64_t & nb [[buffer(28)]], uint tpig[[thread_position_in_grid]]) { - dst[tpig] = src0[tpig] * src1[tpig % nb]; + dst[tpig] = src0[tpig] / src1[tpig % nb]; } kernel void kernel_scale( @@ -140,14 +244,6 @@ kernel void kernel_scale_4( dst[tpig] = src0[tpig] * scale; } -kernel void kernel_silu( - device const float4 * src0, - device float4 * dst, - uint tpig[[thread_position_in_grid]]) { - device const float4 & x = src0[tpig]; - dst[tpig] = x / (1.0f + exp(-x)); -} - kernel void kernel_relu( device const float * src0, device float * dst, @@ -155,15 +251,17 @@ kernel void kernel_relu( dst[tpig] = max(0.0f, src0[tpig]); } -kernel void kernel_sqr( +kernel void kernel_tanh( device const float * src0, device float * dst, uint tpig[[thread_position_in_grid]]) { - dst[tpig] = src0[tpig] * src0[tpig]; + device const float & x = src0[tpig]; + dst[tpig] = precise::tanh(x); } -constant float GELU_COEF_A = 0.044715f; -constant float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f; +constant float GELU_COEF_A = 0.044715f; +constant float GELU_QUICK_COEF = -1.702f; +constant float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f; kernel void kernel_gelu( device const float4 * src0, @@ -178,12 +276,86 @@ kernel void kernel_gelu( dst[tpig] = 0.5f*x*(1.0f + precise::tanh(SQRT_2_OVER_PI*x*(1.0f + GELU_COEF_A*x*x))); } +kernel void kernel_gelu_quick( + device const float4 * src0, + device float4 * dst, + uint tpig[[thread_position_in_grid]]) { + device const float4 & x = src0[tpig]; + + dst[tpig] = x*(1.0f/(1.0f+exp(GELU_QUICK_COEF*x))); +} + +kernel void kernel_silu( + device const float4 * src0, + device float4 * dst, + uint tpig[[thread_position_in_grid]]) { + device const float4 & x = src0[tpig]; + dst[tpig] = x / (1.0f + exp(-x)); +} + +kernel void kernel_sqr( + device const float * src0, + device float * dst, + uint tpig[[thread_position_in_grid]]) { + dst[tpig] = src0[tpig] * src0[tpig]; +} + +kernel void kernel_sum_rows( + device const float * src0, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant int64_t & nb00, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & nb03, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & nb13, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant int64_t & nb0, + constant int64_t & nb1, + constant int64_t & nb2, + constant int64_t & nb3, + uint3 tpig[[thread_position_in_grid]]) { + int64_t i3 = tpig.z; + int64_t i2 = tpig.y; + int64_t i1 = tpig.x; + + if (i3 >= ne03 || i2 >= ne02 || i1 >= ne01) { + return; + } + + device const float * src_row = (device const float *) ((device const char *) src0 + i1*nb01 + i2*nb02 + i3*nb03); + device float * dst_row = (device float *) ((device char *) dst + i1*nb1 + i2*nb2 + i3*nb3); + + float row_sum = 0; + + for (int64_t i0 = 0; i0 < ne00; i0++) { + row_sum += src_row[i0]; + } + + dst_row[0] = row_sum; +} + kernel void kernel_soft_max( device const float * src0, + device const float * src1, device float * dst, constant int64_t & ne00, constant int64_t & ne01, constant int64_t & ne02, + constant float & scale, threadgroup float * buf [[threadgroup(0)]], uint tgpig[[threadgroup_position_in_grid]], uint tpitg[[thread_position_in_threadgroup]], @@ -194,73 +366,82 @@ kernel void kernel_soft_max( const int64_t i02 = (tgpig - i03*ne02*ne01) / ne01; const int64_t i01 = (tgpig - i03*ne02*ne01 - i02*ne01); - device const float * psrc0 = src0 + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; - device float * pdst = dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + device const float * psrc0 = src0 + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + device const float * pmask = src1 != src0 ? src1 + i01*ne00 : nullptr; + device float * pdst = dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; // parallel max - float lmax = tpitg < ne00 ? psrc0[tpitg] : -INFINITY; + float lmax = -INFINITY; - for (int i00 = tpitg + ntg; i00 < ne00; i00 += ntg) { - lmax = MAX(lmax, psrc0[i00]); + for (int i00 = tpitg; i00 < ne00; i00 += ntg) { + lmax = MAX(lmax, psrc0[i00]*scale + (pmask ? pmask[i00] : 0.0f)); } - float max = simd_max(lmax); - if (tiisg == 0) { - buf[sgitg] = max; - } + // find the max value in the block + float max_val = simd_max(lmax); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = -INFINITY; + } - threadgroup_barrier(mem_flags::mem_threadgroup); + threadgroup_barrier(mem_flags::mem_threadgroup); - // broadcast, simd group number is ntg / 32 - for (uint i = ntg / 32 / 2; i > 0; i /= 2) { - if (tpitg < i) { - buf[tpitg] = MAX(buf[tpitg], buf[tpitg + i]); - } - } + if (tiisg == 0) { + buf[sgitg] = max_val; + } - threadgroup_barrier(mem_flags::mem_threadgroup); + threadgroup_barrier(mem_flags::mem_threadgroup); - max = buf[0]; + max_val = buf[tiisg]; + max_val = simd_max(max_val); + } // parallel sum float lsum = 0.0f; for (int i00 = tpitg; i00 < ne00; i00 += ntg) { - const float exp_psrc0 = exp(psrc0[i00] - max); + const float exp_psrc0 = exp((psrc0[i00]*scale + (pmask ? pmask[i00] : 0.0f)) - max_val); lsum += exp_psrc0; - // Remember the result of exp here. exp is expensive, so we really do not - // wish to compute it twice. pdst[i00] = exp_psrc0; } + // This barrier fixes a failing test + // ref: https://github.com/ggerganov/ggml/pull/621#discussion_r1425156335 + threadgroup_barrier(mem_flags::mem_none); + float sum = simd_sum(lsum); - if (tiisg == 0) { - buf[sgitg] = sum; - } - threadgroup_barrier(mem_flags::mem_threadgroup); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = 0.0f; + } - // broadcast, simd group number is ntg / 32 - for (uint i = ntg / 32 / 2; i > 0; i /= 2) { - if (tpitg < i) { - buf[tpitg] += buf[tpitg + i]; - } - } + threadgroup_barrier(mem_flags::mem_threadgroup); - threadgroup_barrier(mem_flags::mem_threadgroup); + if (tiisg == 0) { + buf[sgitg] = sum; + } - sum = buf[0]; + threadgroup_barrier(mem_flags::mem_threadgroup); + + sum = buf[tiisg]; + sum = simd_sum(sum); + } + + const float inv_sum = 1.0f/sum; for (int i00 = tpitg; i00 < ne00; i00 += ntg) { - pdst[i00] /= sum; + pdst[i00] *= inv_sum; } } kernel void kernel_soft_max_4( device const float * src0, + device const float * src1, device float * dst, constant int64_t & ne00, constant int64_t & ne01, constant int64_t & ne02, + constant float & scale, threadgroup float * buf [[threadgroup(0)]], uint tgpig[[threadgroup_position_in_grid]], uint tpitg[[thread_position_in_threadgroup]], @@ -271,64 +452,74 @@ kernel void kernel_soft_max_4( const int64_t i02 = (tgpig - i03*ne02*ne01) / ne01; const int64_t i01 = (tgpig - i03*ne02*ne01 - i02*ne01); - device const float4 * psrc4 = (device const float4 *)(src0 + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00); - device float4 * pdst4 = (device float4 *)(dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00); + device const float4 * psrc4 = (device const float4 *)(src0 + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00); + device const float4 * pmask = src1 != src0 ? (device const float4 *)(src1 + i01*ne00) : nullptr; + device float4 * pdst4 = (device float4 *)(dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00); // parallel max - float4 lmax4 = tpitg < ne00/4 ? psrc4[tpitg] : -INFINITY; + float4 lmax4 = -INFINITY; - for (int i00 = tpitg + ntg; i00 < ne00/4; i00 += ntg) { - lmax4 = fmax(lmax4, psrc4[i00]); + for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { + lmax4 = fmax(lmax4, psrc4[i00]*scale + (pmask ? pmask[i00] : 0.0f)); } const float lmax = MAX(MAX(lmax4[0], lmax4[1]), MAX(lmax4[2], lmax4[3])); - float max = simd_max(lmax); - if (tiisg == 0) { - buf[sgitg] = max; - } - threadgroup_barrier(mem_flags::mem_threadgroup); + float max_val = simd_max(lmax); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = -INFINITY; + } - // broadcast, simd group number is ntg / 32 - for (uint i = ntg / 32 / 2; i > 0; i /= 2) { - if (tpitg < i) { - buf[tpitg] = MAX(buf[tpitg], buf[tpitg + i]); - } - } + threadgroup_barrier(mem_flags::mem_threadgroup); - threadgroup_barrier(mem_flags::mem_threadgroup); + if (tiisg == 0) { + buf[sgitg] = max_val; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); - max = buf[0]; + max_val = buf[tiisg]; + max_val = simd_max(max_val); + } // parallel sum float4 lsum4 = 0.0f; for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { - const float4 exp_psrc4 = exp(psrc4[i00] - max); + const float4 exp_psrc4 = exp((psrc4[i00]*scale + (pmask ? pmask[i00] : 0.0f)) - max_val); lsum4 += exp_psrc4; pdst4[i00] = exp_psrc4; } const float lsum = lsum4[0] + lsum4[1] + lsum4[2] + lsum4[3]; + + // This barrier fixes a failing test + // ref: https://github.com/ggerganov/ggml/pull/621#discussion_r1425156335 + threadgroup_barrier(mem_flags::mem_none); + float sum = simd_sum(lsum); - if (tiisg == 0) { - buf[sgitg] = sum; - } - threadgroup_barrier(mem_flags::mem_threadgroup); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = 0.0f; + } - // broadcast, simd group number is ntg / 32 - for (uint i = ntg / 32 / 2; i > 0; i /= 2) { - if (tpitg < i) { - buf[tpitg] += buf[tpitg + i]; - } - } + threadgroup_barrier(mem_flags::mem_threadgroup); - threadgroup_barrier(mem_flags::mem_threadgroup); + if (tiisg == 0) { + buf[sgitg] = sum; + } - sum = buf[0]; + threadgroup_barrier(mem_flags::mem_threadgroup); + + sum = buf[tiisg]; + sum = simd_sum(sum); + } + + const float inv_sum = 1.0f/sum; for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { - pdst4[i00] /= sum; + pdst4[i00] *= inv_sum; } } @@ -435,14 +626,13 @@ kernel void kernel_rms_norm( constant int64_t & ne00, constant uint64_t & nb01, constant float & eps, - threadgroup float * sum [[threadgroup(0)]], + threadgroup float * buf [[threadgroup(0)]], uint tgpig[[threadgroup_position_in_grid]], uint tpitg[[thread_position_in_threadgroup]], uint sgitg[[simdgroup_index_in_threadgroup]], uint tiisg[[thread_index_in_simdgroup]], uint ntg[[threads_per_threadgroup]]) { - device const float4 * x = (device const float4 *) ((device const char *) src0 + tgpig*nb01); - device const float * x_scalar = (device const float *) x; + device const float4 * x = (device const float4 *) ((device const char *) src0 + tgpig*nb01); float4 sumf = 0; float all_sum = 0; @@ -453,39 +643,117 @@ kernel void kernel_rms_norm( } all_sum = sumf[0] + sumf[1] + sumf[2] + sumf[3]; all_sum = simd_sum(all_sum); - if (tiisg == 0) { - sum[sgitg] = all_sum; - } + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = 0.0f; + } - threadgroup_barrier(mem_flags::mem_threadgroup); + threadgroup_barrier(mem_flags::mem_threadgroup); - // broadcast, simd group number is ntg / 32 - for (uint i = ntg / 32 / 2; i > 0; i /= 2) { - if (tpitg < i) { - sum[tpitg] += sum[tpitg + i]; - } - } - if (tpitg == 0) { - for (int i = 4 * (ne00 / 4); i < ne00; i++) { - sum[0] += x_scalar[i]; + if (tiisg == 0) { + buf[sgitg] = all_sum; } - sum[0] /= ne00; - } - threadgroup_barrier(mem_flags::mem_threadgroup); + threadgroup_barrier(mem_flags::mem_threadgroup); + + all_sum = buf[tiisg]; + all_sum = simd_sum(all_sum); + } - const float mean = sum[0]; + const float mean = all_sum/ne00; const float scale = 1.0f/sqrt(mean + eps); device float4 * y = (device float4 *) (dst + tgpig*ne00); - device float * y_scalar = (device float *) y; for (int i00 = tpitg; i00 < ne00/4; i00 += ntg) { y[i00] = x[i00] * scale; } - if (tpitg == 0) { - for (int i00 = 4 * (ne00 / 4); i00 < ne00; i00++) { - y_scalar[i00] = x_scalar[i00] * scale; +} + +kernel void kernel_group_norm( + device const float * src0, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int32_t & n_groups, + constant float & eps, + threadgroup float * buf [[threadgroup(0)]], + uint tgpig[[threadgroup_position_in_grid]], + uint tpitg[[thread_position_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint ntg[[threads_per_threadgroup]]) { + const int64_t ne = ne00*ne01*ne02; + const int64_t gs = ne00*ne01*((ne02 + n_groups - 1) / n_groups); + + int start = tgpig * gs; + int end = start + gs; + + start += tpitg; + + if (end >= ne) { + end = ne; + } + + float tmp = 0.0f; // partial sum for thread in warp + + for (int j = start; j < end; j += ntg) { + tmp += src0[j]; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + tmp = simd_sum(tmp); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = 0.0f; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + if (tiisg == 0) { + buf[sgitg] = tmp; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + tmp = buf[tiisg]; + tmp = simd_sum(tmp); + } + + const float mean = tmp / gs; + tmp = 0.0f; + + for (int j = start; j < end; j += ntg) { + float xi = src0[j] - mean; + dst[j] = xi; + tmp += xi * xi; + } + + tmp = simd_sum(tmp); + if (ntg > N_SIMDWIDTH) { + if (sgitg == 0) { + buf[tiisg] = 0.0f; + } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + if (tiisg == 0) { + buf[sgitg] = tmp; } + + threadgroup_barrier(mem_flags::mem_threadgroup); + + tmp = buf[tiisg]; + tmp = simd_sum(tmp); + } + + const float variance = tmp / gs; + const float scale = 1.0f/sqrt(variance + eps); + for (int j = start; j < end; j += ntg) { + dst[j] *= scale; } } @@ -576,15 +844,25 @@ inline float block_q_n_dot_y(device const block_q5_1 * qb_curr, float sumy, thre // putting them in the kernel cause a significant performance penalty #define N_DST 4 // each SIMD group works on 4 rows #define N_SIMDGROUP 2 // number of SIMD groups in a thread group -#define N_SIMDWIDTH 32 // assuming SIMD group size is 32 //Note: This is a template, but strictly speaking it only applies to // quantizations where the block size is 32. It also does not // giard against the number of rows not being divisible by // N_DST, so this is another explicit assumption of the implementation. template -void mul_vec_q_n_f32(device const void * src0, device const float * src1, device float * dst, - int64_t ne00, int64_t ne01, int64_t ne02, int64_t ne10, int64_t ne12, int64_t ne0, int64_t ne1, uint gqa, - uint3 tgpig, uint tiisg, uint sgitg) { +void mul_vec_q_n_f32_impl( + device const void * src0, + device const float * src1, + device float * dst, + int64_t ne00, + int64_t ne01, + int64_t ne02, + int64_t ne10, + int64_t ne12, + int64_t ne0, + int64_t ne1, + uint r2, + uint r3, + uint3 tgpig, uint tiisg, uint sgitg) { const int nb = ne00/QK4_0; const int r0 = tgpig.x; @@ -593,7 +871,10 @@ void mul_vec_q_n_f32(device const void * src0, device const float * src1, device const int first_row = (r0 * nsg + sgitg) * nr; - const uint offset0 = first_row * nb + im/gqa*(nb*ne0); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); device const block_q_type * x = (device const block_q_type *) src0 + offset0; device const float * y = (device const float *) src1 + r1*ne10 + im*ne00*ne1; @@ -643,13 +924,14 @@ kernel void kernel_mul_mv_q4_0_f32( constant int64_t & ne02[[buffer(5)]], constant int64_t & ne10[[buffer(9)]], constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]], uint sgitg[[simdgroup_index_in_threadgroup]]) { - mul_vec_q_n_f32(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,gqa,tgpig,tiisg,sgitg); + mul_vec_q_n_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); } kernel void kernel_mul_mv_q4_1_f32( @@ -661,13 +943,14 @@ kernel void kernel_mul_mv_q4_1_f32( constant int64_t & ne02[[buffer(5)]], constant int64_t & ne10[[buffer(9)]], constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]], uint sgitg[[simdgroup_index_in_threadgroup]]) { - mul_vec_q_n_f32(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,gqa,tgpig,tiisg,sgitg); + mul_vec_q_n_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); } kernel void kernel_mul_mv_q5_0_f32( @@ -679,13 +962,14 @@ kernel void kernel_mul_mv_q5_0_f32( constant int64_t & ne02[[buffer(5)]], constant int64_t & ne10[[buffer(9)]], constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]], uint sgitg[[simdgroup_index_in_threadgroup]]) { - mul_vec_q_n_f32(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,gqa,tgpig,tiisg,sgitg); + mul_vec_q_n_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); } kernel void kernel_mul_mv_q5_1_f32( @@ -697,33 +981,35 @@ kernel void kernel_mul_mv_q5_1_f32( constant int64_t & ne02[[buffer(5)]], constant int64_t & ne10[[buffer(9)]], constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]], uint sgitg[[simdgroup_index_in_threadgroup]]) { - mul_vec_q_n_f32(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,gqa,tgpig,tiisg,sgitg); + mul_vec_q_n_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); } #define NB_Q8_0 8 -kernel void kernel_mul_mv_q8_0_f32( +void kernel_mul_mv_q8_0_f32_impl( device const void * src0, device const float * src1, device float * dst, constant int64_t & ne00, - constant int64_t & ne01[[buffer(4)]], - constant int64_t & ne02[[buffer(5)]], - constant int64_t & ne10[[buffer(9)]], - constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { const int nr = N_DST; const int nsg = N_SIMDGROUP; const int nw = N_SIMDWIDTH; @@ -732,8 +1018,14 @@ kernel void kernel_mul_mv_q8_0_f32( const int r0 = tgpig.x; const int r1 = tgpig.y; const int im = tgpig.z; + const int first_row = (r0 * nsg + sgitg) * nr; - const uint offset0 = first_row * nb + im/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + device const block_q8_0 * x = (device const block_q8_0 *) src0 + offset0; device const float * y = (device const float *) src1 + r1*ne10 + im*ne00*ne1; @@ -771,9 +1063,29 @@ kernel void kernel_mul_mv_q8_0_f32( } } +[[host_name("kernel_mul_mv_q8_0_f32")]] +kernel void kernel_mul_mv_q8_0_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + kernel_mul_mv_q8_0_f32_impl(src0,src1,dst,ne00,ne01,ne02,ne10,ne12,ne0,ne1,r2,r3,tgpig,tiisg,sgitg); +} + #define N_F32_F32 4 -kernel void kernel_mul_mv_f32_f32( +void kernel_mul_mv_f32_f32_impl( device const char * src0, device const char * src1, device float * dst, @@ -791,6 +1103,8 @@ kernel void kernel_mul_mv_f32_f32( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -798,7 +1112,12 @@ kernel void kernel_mul_mv_f32_f32( const int64_t rb = tgpig.y*N_F32_F32; const int64_t im = tgpig.z; - device const float * x = (device const float *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const float * x = (device const float *) (src0 + offset0); if (ne00 < 128) { for (int row = 0; row < N_F32_F32; ++row) { @@ -844,6 +1163,32 @@ kernel void kernel_mul_mv_f32_f32( } } +[[host_name("kernel_mul_mv_f32_f32")]] +kernel void kernel_mul_mv_f32_f32( + device const char * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + kernel_mul_mv_f32_f32_impl(src0, src1, dst, ne00, ne01, ne02, nb00, nb01, nb02, ne10, ne11, ne12, nb10, nb11, nb12, ne0, ne1, r2, r3, tgpig, tiisg); +} + #define N_F16_F16 4 kernel void kernel_mul_mv_f16_f16( @@ -864,6 +1209,8 @@ kernel void kernel_mul_mv_f16_f16( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -871,7 +1218,12 @@ kernel void kernel_mul_mv_f16_f16( const int64_t rb = tgpig.y*N_F16_F16; const int64_t im = tgpig.z; - device const half * x = (device const half *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const half * x = (device const half *) (src0 + offset0); if (ne00 < 128) { for (int row = 0; row < N_F16_F16; ++row) { @@ -917,7 +1269,7 @@ kernel void kernel_mul_mv_f16_f16( } } -kernel void kernel_mul_mv_f16_f32_1row( +void kernel_mul_mv_f16_f32_1row_impl( device const char * src0, device const char * src1, device float * dst, @@ -935,6 +1287,8 @@ kernel void kernel_mul_mv_f16_f32_1row( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -942,7 +1296,12 @@ kernel void kernel_mul_mv_f16_f32_1row( const int64_t r1 = tgpig.y; const int64_t im = tgpig.z; - device const half * x = (device const half *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const half * x = (device const half *) (src0 + offset0); device const float * y = (device const float *) (src1 + r1*nb11 + im*nb12); float sumf = 0; @@ -966,12 +1325,37 @@ kernel void kernel_mul_mv_f16_f32_1row( dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum; } } +} +[[host_name("kernel_mul_mv_f16_f32_1row")]] +kernel void kernel_mul_mv_f16_f32_1row( + device const char * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + kernel_mul_mv_f16_f32_1row_impl(src0, src1, dst, ne00, ne01, ne02, nb00, nb01, nb02, ne10, ne11, ne12, nb10, nb11, nb12, ne0, ne1, r2, r3, tgpig, tiisg); } #define N_F16_F32 4 -kernel void kernel_mul_mv_f16_f32( +void kernel_mul_mv_f16_f32_impl( device const char * src0, device const char * src1, device float * dst, @@ -989,6 +1373,8 @@ kernel void kernel_mul_mv_f16_f32( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -996,7 +1382,12 @@ kernel void kernel_mul_mv_f16_f32( const int64_t rb = tgpig.y*N_F16_F32; const int64_t im = tgpig.z; - device const half * x = (device const half *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const half * x = (device const half *) (src0 + offset0); if (ne00 < 128) { for (int row = 0; row < N_F16_F32; ++row) { @@ -1042,6 +1433,32 @@ kernel void kernel_mul_mv_f16_f32( } } +[[host_name("kernel_mul_mv_f16_f32")]] +kernel void kernel_mul_mv_f16_f32( + device const char * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]]) { + kernel_mul_mv_f16_f32_impl(src0, src1, dst, ne00, ne01, ne02, nb00, nb01, nb02, ne10, ne11, ne12, nb10, nb11, nb12, ne0, ne1, r2, r3, tgpig, tiisg); +} + // Assumes row size (ne00) is a multiple of 4 kernel void kernel_mul_mv_f16_f32_l4( device const char * src0, @@ -1061,6 +1478,8 @@ kernel void kernel_mul_mv_f16_f32_l4( constant uint64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]]) { @@ -1068,7 +1487,12 @@ kernel void kernel_mul_mv_f16_f32_l4( const int64_t r0 = tgpig.x; const int64_t im = tgpig.z; - device const half4 * x4 = (device const half4 *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02); + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = r0*nb01 + (i12/r2)*nb02 + (i13/r3)*nb02*ne02; + + device const half4 * x4 = (device const half4 *) (src0 + offset0); for (int r1 = 0; r1 < nrows; ++r1) { device const float4 * y4 = (device const float4 *) (src1 + r1*nb11 + im*nb12); @@ -1120,17 +1544,21 @@ kernel void kernel_alibi_f32( const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); + const int64_t k = i3*ne3 + i2; - device float * dst_data = (device float *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); float m_k; - if (i2 < n_heads_log2_floor) { - m_k = pow(m0, i2 + 1); + if (k < n_heads_log2_floor) { + m_k = pow(m0, k + 1); } else { - m_k = pow(m1, 2 * (i2 - n_heads_log2_floor) + 1); + m_k = pow(m1, 2 * (k - n_heads_log2_floor) + 1); } + + device char * dst_row = (device char *) dst + i3*nb3 + i2*nb2 + i1*nb1; + device const char * src_row = (device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01; for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { - device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); - dst_data[i00] = src[0] + m_k * (i00 - ne00 + 1); + const float src_v = *(device float *)(src_row + i00*nb00); + device float * dst_v = (device float *)(dst_row + i00*nb0); + *dst_v = i00 * m_k + src_v; } } @@ -1274,8 +1702,9 @@ kernel void kernel_rope( dst_data[1] = x0*sin_theta + x1*cos_theta; } } else { - for (int64_t ib = 0; ib < ne0/n_dims; ++ib) { - for (int64_t ic = 2*tiitg; ic < n_dims; ic += 2*tptg.x) { + for (int64_t ic = 2*tiitg; ic < ne0; ic += 2*tptg.x) { + if (ic < n_dims) { + const int64_t ib = 0; // simplified from `(ib * n_dims + ic) * inv_ndims` const float cur_rot = inv_ndims*ic - ib; @@ -1294,6 +1723,14 @@ kernel void kernel_rope( dst_data[0] = x0*cos_theta - x1*sin_theta; dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta; + } else { + const int64_t i0 = ic; + + device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00); + device T * dst_data = (device T *)((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + dst_data[0] = src[0]; + dst_data[1] = src[1]; } } } @@ -1323,21 +1760,296 @@ kernel void kernel_im2col_f16( const int32_t iiw = tgpig[2] * s0 + tpitg[2] * d0 - p0; const int32_t iih = tgpig[1] * s1 + tpitg[1] * d1 - p1; - const int32_t offset_dst = - (tpitg[0] * tgpg[1] * tgpg[2] + tgpig[1] * tgpg[2] + tgpig[2]) * CHW + - (tgpig[0] * (ntg[1] * ntg[2]) + tpitg[1] * ntg[2] + tpitg[2]); + const int32_t offset_dst = + (tpitg[0] * tgpg[1] * tgpg[2] + tgpig[1] * tgpg[2] + tgpig[2]) * CHW + + (tgpig[0] * (ntg[1] * ntg[2]) + tpitg[1] * ntg[2] + tpitg[2]); + + if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) { + dst[offset_dst] = 0.0f; + } else { + const int32_t offset_src = tpitg[0] * ofs0 + tgpig[0] * ofs1; + dst[offset_dst] = x[offset_src + iih * IW + iiw]; + } +} + +kernel void kernel_upscale_f32( + device const char * src0, + device char * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + constant int32_t & sf, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + + const int64_t i3 = tgpig.z; + const int64_t i2 = tgpig.y; + const int64_t i1 = tgpig.x; + + const int64_t i03 = i3; + const int64_t i02 = i2; + const int64_t i01 = i1/sf; + + device const float * src0_ptr = (device const float *) (src0 + i03*nb03 + i02*nb02 + i01*nb01); + device float * dst_ptr = (device float *) (dst + i3*nb3 + i2*nb2 + i1*nb1); + + for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { + dst_ptr[i0] = src0_ptr[i0/sf]; + } +} + +kernel void kernel_pad_f32( + device const char * src0, + device char * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + + const int64_t i3 = tgpig.z; + const int64_t i2 = tgpig.y; + const int64_t i1 = tgpig.x; + + const int64_t i03 = i3; + const int64_t i02 = i2; + const int64_t i01 = i1; + + device const float * src0_ptr = (device const float *) (src0 + i03*nb03 + i02*nb02 + i01*nb01); + device float * dst_ptr = (device float *) (dst + i3*nb3 + i2*nb2 + i1*nb1); + + if (i1 < ne01 && i2 < ne02 && i3 < ne03) { + for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { + if (i0 < ne00) { + dst_ptr[i0] = src0_ptr[i0]; + } else { + dst_ptr[i0] = 0.0f; + } + } + + return; + } + + for (int i0 = tpitg.x; i0 < ne0; i0 += ntg.x) { + dst_ptr[i0] = 0.0f; + } +} + +// bitonic sort implementation following the CUDA kernels as reference +typedef void (argsort_t)( + device const float * x, + device int32_t * dst, + constant int64_t & ncols, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]]); + +template +kernel void kernel_argsort_f32_i32( + device const float * x, + device int32_t * dst, + constant int64_t & ncols, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]]) { + // bitonic sort + int col = tpitg[0]; + int row = tgpig[1]; + + if (col >= ncols) return; + + device const float * x_row = x + row * ncols; + device int32_t * dst_row = dst + row * ncols; + + // initialize indices + if (col < ncols) { + dst_row[col] = col; + } + threadgroup_barrier(mem_flags::mem_threadgroup); + + for (int k = 2; k <= ncols; k *= 2) { + for (int j = k / 2; j > 0; j /= 2) { + int ixj = col ^ j; + if (ixj > col) { + if ((col & k) == 0) { + if (order == GGML_SORT_ASC ? x_row[dst_row[col]] > x_row[dst_row[ixj]] : x_row[dst_row[col]] < x_row[dst_row[ixj]]) { + SWAP(dst_row[col], dst_row[ixj]); + } + } else { + if (order == GGML_SORT_ASC ? x_row[dst_row[col]] < x_row[dst_row[ixj]] : x_row[dst_row[col]] > x_row[dst_row[ixj]]) { + SWAP(dst_row[col], dst_row[ixj]); + } + } + } + threadgroup_barrier(mem_flags::mem_threadgroup); + } + } +} + +template [[host_name("kernel_argsort_f32_i32_asc")]] kernel argsort_t kernel_argsort_f32_i32; +template [[host_name("kernel_argsort_f32_i32_desc")]] kernel argsort_t kernel_argsort_f32_i32; + +kernel void kernel_leaky_relu_f32( + device const float * src0, + device float * dst, + constant float & slope, + uint tpig[[thread_position_in_grid]]) { + dst[tpig] = src0[tpig] > 0.0f ? src0[tpig] : src0[tpig] * slope; +} + +kernel void kernel_cpy_f16_f16( + device const half * src0, + device half * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig[2]; + const int64_t i02 = tgpig[1]; + const int64_t i01 = tgpig[0]; + + const int64_t n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + const int64_t i3 = n / (ne2*ne1*ne0); + const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); + const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); + + device half * dst_data = (device half *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { + device const half * src = (device half *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + dst_data[i00] = src[0]; + } +} + +kernel void kernel_cpy_f16_f32( + device const half * src0, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig[2]; + const int64_t i02 = tgpig[1]; + const int64_t i01 = tgpig[0]; + + const int64_t n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + const int64_t i3 = n / (ne2*ne1*ne0); + const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); + const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); + + device float * dst_data = (device float *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { + device const half * src = (device half *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + dst_data[i00] = src[0]; + } +} + +kernel void kernel_cpy_f32_f16( + device const float * src0, + device half * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig[2]; + const int64_t i02 = tgpig[1]; + const int64_t i01 = tgpig[0]; + + const int64_t n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + const int64_t i3 = n / (ne2*ne1*ne0); + const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); + const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); - if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) { - dst[offset_dst] = 0.0f; - } else { - const int32_t offset_src = tpitg[0] * ofs0 + tgpig[0] * ofs1; - dst[offset_dst] = x[offset_src + iih * IW + iiw]; + device half * dst_data = (device half *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { + device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + + dst_data[i00] = src[0]; } } -kernel void kernel_cpy_f16_f16( - device const half * src0, - device half * dst, +kernel void kernel_cpy_f32_f32( + device const float * src0, + device float * dst, constant int64_t & ne00, constant int64_t & ne01, constant int64_t & ne02, @@ -1368,17 +2080,18 @@ kernel void kernel_cpy_f16_f16( const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); - device half * dst_data = (device half *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + device float * dst_data = (device float *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { - device const half * src = (device half *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + dst_data[i00] = src[0]; } } -kernel void kernel_cpy_f32_f16( +kernel void kernel_cpy_f32_q8_0( device const float * src0, - device half * dst, + device void * dst, constant int64_t & ne00, constant int64_t & ne01, constant int64_t & ne02, @@ -1407,20 +2120,36 @@ kernel void kernel_cpy_f32_f16( const int64_t i3 = n / (ne2*ne1*ne0); const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; - const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0)/QK8_0; - device half * dst_data = (device half *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + device block_q8_0 * dst_data = (device block_q8_0 *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); - for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { + for (int64_t i00 = tpitg.x*QK8_0; i00 < ne00; i00 += ntg.x*QK8_0) { device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); - dst_data[i00] = src[0]; + float amax = 0.0f; // absolute max + + for (int j = 0; j < QK8_0; j++) { + const float v = src[j]; + amax = MAX(amax, fabs(v)); + } + + const float d = amax / ((1 << 7) - 1); + const float id = d ? 1.0f/d : 0.0f; + + dst_data[i00/QK8_0].d = d; + + for (int j = 0; j < QK8_0; ++j) { + const float x0 = src[j]*id; + + dst_data[i00/QK8_0].qs[j] = round(x0); + } } } -kernel void kernel_cpy_f32_f32( +kernel void kernel_cpy_f32_q4_0( device const float * src0, - device float * dst, + device void * dst, constant int64_t & ne00, constant int64_t & ne01, constant int64_t & ne02, @@ -1449,21 +2178,112 @@ kernel void kernel_cpy_f32_f32( const int64_t i3 = n / (ne2*ne1*ne0); const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; - const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0); + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0)/QK4_0; - device float * dst_data = (device float *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + device block_q4_0 * dst_data = (device block_q4_0 *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); - for (int64_t i00 = tpitg.x; i00 < ne00; i00 += ntg.x) { + for (int64_t i00 = tpitg.x*QK4_0; i00 < ne00; i00 += ntg.x*QK4_0) { device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); - dst_data[i00] = src[0]; + float amax = 0.0f; // absolute max + float max = 0.0f; + + for (int j = 0; j < QK4_0; j++) { + const float v = src[j]; + if (amax < fabs(v)) { + amax = fabs(v); + max = v; + } + } + + const float d = max / -8; + const float id = d ? 1.0f/d : 0.0f; + + dst_data[i00/QK4_0].d = d; + + for (int j = 0; j < QK4_0/2; ++j) { + const float x0 = src[0 + j]*id; + const float x1 = src[QK4_0/2 + j]*id; + + const uint8_t xi0 = MIN(15, (int8_t)(x0 + 8.5f)); + const uint8_t xi1 = MIN(15, (int8_t)(x1 + 8.5f)); + + dst_data[i00/QK4_0].qs[j] = xi0; + dst_data[i00/QK4_0].qs[j] |= xi1 << 4; + } + } +} + +kernel void kernel_cpy_f32_q4_1( + device const float * src0, + device void * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne03, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant uint64_t & nb03, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & ne2, + constant int64_t & ne3, + constant uint64_t & nb0, + constant uint64_t & nb1, + constant uint64_t & nb2, + constant uint64_t & nb3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + const int64_t i03 = tgpig[2]; + const int64_t i02 = tgpig[1]; + const int64_t i01 = tgpig[0]; + + const int64_t n = i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + const int64_t i3 = n / (ne2*ne1*ne0); + const int64_t i2 = (n - i3*ne2*ne1*ne0) / (ne1*ne0); + const int64_t i1 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0) / ne0; + const int64_t i0 = (n - i3*ne2*ne1*ne0 - i2*ne1*ne0 - i1*ne0)/QK4_1; + + device block_q4_1 * dst_data = (device block_q4_1 *) ((device char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + for (int64_t i00 = tpitg.x*QK4_1; i00 < ne00; i00 += ntg.x*QK4_1) { + device const float * src = (device float *)((device char *) src0 + i03*nb03 + i02*nb02 + i01*nb01 + i00*nb00); + + float min = FLT_MAX; + float max = -FLT_MAX; + + for (int j = 0; j < QK4_1; j++) { + const float v = src[j]; + if (min > v) min = v; + if (max < v) max = v; + } + + const float d = (max - min) / ((1 << 4) - 1); + const float id = d ? 1.0f/d : 0.0f; + + dst_data[i00/QK4_1].d = d; + dst_data[i00/QK4_1].m = min; + + for (int j = 0; j < QK4_1/2; ++j) { + const float x0 = (src[0 + j] - min)*id; + const float x1 = (src[QK4_1/2 + j] - min)*id; + + const uint8_t xi0 = MIN(15, (int8_t)(x0 + 0.5f)); + const uint8_t xi1 = MIN(15, (int8_t)(x1 + 0.5f)); + + dst_data[i00/QK4_1].qs[j] = xi0; + dst_data[i00/QK4_1].qs[j] |= xi1 << 4; + } } } kernel void kernel_concat( - device const char * src0, - device const char * src1, - device char * dst, + device const char * src0, + device const char * src1, + device char * dst, constant int64_t & ne00, constant int64_t & ne01, constant int64_t & ne02, @@ -1500,7 +2320,7 @@ kernel void kernel_concat( const int64_t i12 = i02 % ne12; const int64_t i11 = i01 % ne11; - device const char * src0_ptr = src0 + i03 * nb03 + i02 * nb02 + i01 * nb01 + tpitg.x*nb00; + device const char * src0_ptr = src0 + i03*nb03 + i02*nb02 + i01*nb01 + tpitg.x*nb00; device const char * src1_ptr = src1 + i13*nb13 + i12*nb12 + i11*nb11 + tpitg.x*nb10; device char * dst_ptr = dst + i03*nb3 + i02*nb2 + i01*nb1 + tpitg.x*nb0; @@ -1608,32 +2428,39 @@ static inline uchar4 get_scale_min_k4(int j, device const uint8_t * q) { //====================================== dot products ========================= -kernel void kernel_mul_mv_q2_K_f32( +void kernel_mul_mv_q2_K_f32_impl( device const void * src0, device const float * src1, device float * dst, constant int64_t & ne00, - constant int64_t & ne01[[buffer(4)]], - constant int64_t & ne02[[buffer(5)]], - constant int64_t & ne10[[buffer(9)]], - constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { const int nb = ne00/QK_K; const int r0 = tgpig.x; const int r1 = tgpig.y; - const int r2 = tgpig.z; + const int im = tgpig.z; const int first_row = (r0 * N_SIMDGROUP + sgitg) * N_DST; const int ib_row = first_row * nb; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + device const block_q2_K * x = (device const block_q2_K *) src0 + ib_row + offset0; - device const float * y = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + device const float * y = (device const float *) src1 + r1*ne10 + im*ne00*ne1; + float yl[32]; float sumf[N_DST]={0.f}, all_sum; @@ -1642,11 +2469,11 @@ kernel void kernel_mul_mv_q2_K_f32( #if QK_K == 256 const int ix = tiisg/8; // 0...3 const int it = tiisg%8; // 0...7 - const int im = it/4; // 0 or 1 + const int iq = it/4; // 0 or 1 const int ir = it%4; // 0...3 const int is = (8*ir)/16;// 0 or 1 - device const float * y4 = y + ix * QK_K + 128 * im + 8 * ir; + device const float * y4 = y + ix * QK_K + 128 * iq + 8 * ir; for (int ib = ix; ib < nb; ib += 4) { @@ -1658,8 +2485,8 @@ kernel void kernel_mul_mv_q2_K_f32( yl[i+24] = y4[i+96]; sumy[3] += yl[i+24]; } - device const uint8_t * sc = (device const uint8_t *)x[ib].scales + 8*im + is; - device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 16 * im + 4 * ir; + device const uint8_t * sc = (device const uint8_t *)x[ib].scales + 8*iq + is; + device const uint16_t * qs = (device const uint16_t *)x[ib].qs + 16 * iq + 4 * ir; device const half * dh = &x[ib].d; for (int row = 0; row < N_DST; row++) { @@ -1746,13 +2573,13 @@ kernel void kernel_mul_mv_q2_K_f32( for (int row = 0; row < N_DST; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { - dst[r1*ne0 + r2*ne0*ne1 + first_row + row] = all_sum; + dst[r1*ne0 + im*ne0*ne1 + first_row + row] = all_sum; } } } -#if QK_K == 256 -kernel void kernel_mul_mv_q3_K_f32( +[[host_name("kernel_mul_mv_q2_K_f32")]] +kernel void kernel_mul_mv_q2_K_f32( device const void * src0, device const float * src1, device float * dst, @@ -1761,23 +2588,50 @@ kernel void kernel_mul_mv_q3_K_f32( constant int64_t & ne02[[buffer(5)]], constant int64_t & ne10[[buffer(9)]], constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + kernel_mul_mv_q2_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); +} + +#if QK_K == 256 +void kernel_mul_mv_q3_K_f32_impl( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { const int nb = ne00/QK_K; const int64_t r0 = tgpig.x; const int64_t r1 = tgpig.y; - const int64_t r2 = tgpig.z; + const int64_t im = tgpig.z; const int first_row = (r0 * N_SIMDGROUP + sgitg) * 2; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + device const block_q3_K * x = (device const block_q3_K *) src0 + first_row*nb + offset0; - device const float * yy = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + device const float * yy = (device const float *) src1 + r1*ne10 + im*ne00*ne1; float yl[32]; @@ -1899,40 +2753,47 @@ kernel void kernel_mul_mv_q3_K_f32( } if (tiisg == 0) { for (int row = 0; row < 2; ++row) { - dst[r1*ne0 + r2*ne0*ne1 + first_row + row] = sumf1[row]; + dst[r1*ne0 + im*ne0*ne1 + first_row + row] = sumf1[row]; } } } #else -kernel void kernel_mul_mv_q3_K_f32( +void kernel_mul_mv_q3_K_f32_impl( device const void * src0, device const float * src1, device float * dst, constant int64_t & ne00, - constant int64_t & ne01[[buffer(4)]], - constant int64_t & ne02[[buffer(5)]], - constant int64_t & ne10[[buffer(9)]], - constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { const int nb = ne00/QK_K; const int64_t r0 = tgpig.x; const int64_t r1 = tgpig.y; - const int64_t r2 = tgpig.z; + const int64_t im = tgpig.z; const int row = 2 * r0 + sgitg; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + device const block_q3_K * x = (device const block_q3_K *) src0 + row*nb + offset0; - device const float * yy = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + device const float * yy = (device const float *) src1 + r1*ne10 + im*ne00*ne1; + const int ix = tiisg/4; const int il = 4 * (tiisg%4);// 0, 4, 8, 12 - const int im = il/8; // 0, 0, 1, 1 + const int iq = il/8; // 0, 0, 1, 1 const int in = il%8; // 0, 4, 0, 4 float2 sum = {0.f, 0.f}; @@ -1952,7 +2813,7 @@ kernel void kernel_mul_mv_q3_K_f32( const float d4 = d_all * ((int32_t)(s[0] & 0xF000) - 32768) * 1.f/262144.f; for (int l = 0; l < 4; l += 2) { - const uint16_t hm = h[l/2] >> im; + const uint16_t hm = h[l/2] >> iq; sum[0] += y[l+ 0] * d1 * ((int32_t)(q[l/2] & 0x0003) - ((hm & 0x0001) ? 0 : 4)) + y[l+16] * d2 * ((int32_t)(q[l/2] & 0x000c) - ((hm & 0x0004) ? 0 : 16)) + y[l+32] * d3 * ((int32_t)(q[l/2] & 0x0030) - ((hm & 0x0010) ? 0 : 64)) @@ -1968,28 +2829,50 @@ kernel void kernel_mul_mv_q3_K_f32( const float tot = simd_sum(sumf); if (tiisg == 0) { - dst[r1*ne0 + r2*ne0*ne1 + row] = tot; + dst[r1*ne0 + im*ne0*ne1 + row] = tot; } } #endif +[[host_name("kernel_mul_mv_q3_K_f32")]] +kernel void kernel_mul_mv_q3_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + kernel_mul_mv_q3_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); +} + #if QK_K == 256 -kernel void kernel_mul_mv_q4_K_f32( +void kernel_mul_mv_q4_K_f32_impl( device const void * src0, device const float * src1, device float * dst, constant int64_t & ne00, - constant int64_t & ne01 [[buffer(4)]], - constant int64_t & ne02 [[buffer(5)]], - constant int64_t & ne10 [[buffer(9)]], - constant int64_t & ne12 [[buffer(11)]], - constant int64_t & ne0 [[buffer(15)]], - constant int64_t & ne1 [[buffer(16)]], - constant uint & gqa [[buffer(17)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { const uint16_t kmask1 = 0x3f3f; const uint16_t kmask2 = 0x0f0f; @@ -1997,26 +2880,32 @@ kernel void kernel_mul_mv_q4_K_f32( const int ix = tiisg/8; // 0...3 const int it = tiisg%8; // 0...7 - const int im = it/4; // 0 or 1 + const int iq = it/4; // 0 or 1 const int ir = it%4; // 0...3 const int nb = ne00/QK_K; const int r0 = tgpig.x; const int r1 = tgpig.y; - const int r2 = tgpig.z; + const int im = tgpig.z; //const int first_row = (r0 * N_SIMDGROUP + sgitg) * N_DST; const int first_row = r0 * N_DST; const int ib_row = first_row * nb; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + device const block_q4_K * x = (device const block_q4_K *) src0 + ib_row + offset0; - device const float * y = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + device const float * y = (device const float *) src1 + r1*ne10 + im*ne00*ne1; + float yl[16]; float yh[16]; float sumf[N_DST]={0.f}, all_sum; const int step = sizeof(block_q4_K) * nb / 2; - device const float * y4 = y + ix * QK_K + 64 * im + 8 * ir; + device const float * y4 = y + ix * QK_K + 64 * iq + 8 * ir; uint16_t sc16[4]; thread const uint8_t * sc8 = (thread const uint8_t *)sc16; @@ -2031,8 +2920,8 @@ kernel void kernel_mul_mv_q4_K_f32( yh[i+8] = y4[i+160]; sumy[3] += yh[i+8]; } - device const uint16_t * sc = (device const uint16_t *)x[ib].scales + im; - device const uint16_t * q1 = (device const uint16_t *)x[ib].qs + 16 * im + 4 * ir; + device const uint16_t * sc = (device const uint16_t *)x[ib].scales + iq; + device const uint16_t * q1 = (device const uint16_t *)x[ib].qs + 16 * iq + 4 * ir; device const half * dh = &x[ib].d; for (int row = 0; row < N_DST; row++) { @@ -2076,23 +2965,24 @@ kernel void kernel_mul_mv_q4_K_f32( for (int row = 0; row < N_DST; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { - dst[r1*ne0 + r2*ne0*ne1 + first_row + row] = all_sum; + dst[r1*ne0 + im*ne0*ne1 + first_row + row] = all_sum; } } } #else -kernel void kernel_mul_mv_q4_K_f32( +void kernel_mul_mv_q4_K_f32_impl( device const void * src0, device const float * src1, device float * dst, constant int64_t & ne00, - constant int64_t & ne01[[buffer(4)]], - constant int64_t & ne02[[buffer(5)]], - constant int64_t & ne10[[buffer(9)]], - constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]], uint sgitg[[simdgroup_index_in_threadgroup]]) { @@ -2103,12 +2993,18 @@ kernel void kernel_mul_mv_q4_K_f32( const int nb = ne00/QK_K; const int r0 = tgpig.x; const int r1 = tgpig.y; - const int r2 = tgpig.z; + const int im = tgpig.z; const int first_row = (r0 * N_SIMDGROUP + sgitg) * N_DST; const int ib_row = first_row * nb; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + device const block_q4_K * x = (device const block_q4_K *) src0 + ib_row + offset0; - device const float * y = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + device const float * y = (device const float *) src1 + r1*ne10 + im*ne00*ne1; + float yl[8]; float yh[8]; float sumf[N_DST]={0.f}, all_sum; @@ -2164,13 +3060,14 @@ kernel void kernel_mul_mv_q4_K_f32( for (int row = 0; row < N_DST; ++row) { all_sum = simd_sum(sumf[row]); if (tiisg == 0) { - dst[r1*ne0+ r2*ne0*ne1 + first_row + row] = all_sum; + dst[r1*ne0+ im*ne0*ne1 + first_row + row] = all_sum; } } } #endif -kernel void kernel_mul_mv_q5_K_f32( +[[host_name("kernel_mul_mv_q4_K_f32")]] +kernel void kernel_mul_mv_q4_K_f32( device const void * src0, device const float * src1, device float * dst, @@ -2179,23 +3076,49 @@ kernel void kernel_mul_mv_q5_K_f32( constant int64_t & ne02[[buffer(5)]], constant int64_t & ne10[[buffer(9)]], constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], uint3 tgpig[[threadgroup_position_in_grid]], uint tiisg[[thread_index_in_simdgroup]], uint sgitg[[simdgroup_index_in_threadgroup]]) { + kernel_mul_mv_q4_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); +} + +void kernel_mul_mv_q5_K_f32_impl( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + const int nb = ne00/QK_K; const int64_t r0 = tgpig.x; const int64_t r1 = tgpig.y; - const int r2 = tgpig.z; + const int im = tgpig.z; const int first_row = (r0 * N_SIMDGROUP + sgitg) * 2; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + device const block_q5_K * x = (device const block_q5_K *) src0 + first_row*nb + offset0; - device const float * yy = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + device const float * yy = (device const float *) src1 + r1*ne10 + im*ne00*ne1; float sumf[2]={0.f}; @@ -2211,15 +3134,15 @@ kernel void kernel_mul_mv_q5_K_f32( const int tid = tiisg/4; const int ix = tiisg%4; - const int im = tid/4; + const int iq = tid/4; const int ir = tid%4; const int n = 8; const int l0 = n*ir; - const int q_offset = 32*im + l0; - const int y_offset = 64*im + l0; + const int q_offset = 32*iq + l0; + const int y_offset = 64*iq + l0; - const uint8_t hm1 = 1u << (2*im); + const uint8_t hm1 = 1u << (2*iq); const uint8_t hm2 = hm1 << 1; const uint8_t hm3 = hm1 << 4; const uint8_t hm4 = hm2 << 4; @@ -2234,7 +3157,7 @@ kernel void kernel_mul_mv_q5_K_f32( device const uint8_t * q1 = x[i].qs + q_offset; device const uint8_t * qh = x[i].qh + l0; device const half * dh = &x[i].d; - device const uint16_t * a = (device const uint16_t *)x[i].scales + im; + device const uint16_t * a = (device const uint16_t *)x[i].scales + iq; device const float * y2 = y1 + 128; float4 sumy = {0.f, 0.f, 0.f, 0.f}; @@ -2290,7 +3213,7 @@ kernel void kernel_mul_mv_q5_K_f32( const int il = 4 * (tiisg/8); // 0, 4, 8, 12 const int ix = tiisg%8; - const int im = il/8; // 0, 0, 1, 1 + const int iq = il/8; // 0, 0, 1, 1 const int in = il%8; // 0, 4, 0, 4 device const float * y = yy + ix*QK_K + il; @@ -2315,7 +3238,7 @@ kernel void kernel_mul_mv_q5_K_f32( float2 acc = {0.f, 0.f}; for (int l = 0; l < 4; ++l) { - const uint8_t hl = h[l] >> im; + const uint8_t hl = h[l] >> iq; acc[0] += yl[l+0] * s[0] * ((int16_t)(q[l+ 0] & 0x0F) - (hl & 0x01 ? 0 : 16)) + yl[l+4] * s[1] * ((int16_t)(q[l+16] & 0x0F) - (hl & 0x04 ? 0 : 16)); acc[1] += yh[l+0] * s[2] * ((int16_t)(q[l+ 0] & 0xF0) - (hl & 0x10 ? 0 : 256)) @@ -2337,27 +3260,48 @@ kernel void kernel_mul_mv_q5_K_f32( for (int row = 0; row < 2; ++row) { const float tot = simd_sum(sumf[row]); if (tiisg == 0) { - dst[r1*ne0 + r2*ne0*ne1 + first_row + row] = tot; + dst[r1*ne0 + im*ne0*ne1 + first_row + row] = tot; } } +} + +[[host_name("kernel_mul_mv_q5_K_f32")]] +kernel void kernel_mul_mv_q5_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + kernel_mul_mv_q5_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); } -kernel void kernel_mul_mv_q6_K_f32( +void kernel_mul_mv_q6_K_f32_impl( device const void * src0, device const float * src1, device float * dst, constant int64_t & ne00, - constant int64_t & ne01[[buffer(4)]], - constant int64_t & ne02[[buffer(5)]], - constant int64_t & ne10[[buffer(9)]], - constant int64_t & ne12[[buffer(11)]], - constant int64_t & ne0[[buffer(15)]], - constant int64_t & ne1[[buffer(16)]], - constant uint & gqa[[buffer(17)]], + constant int64_t & ne01, + constant int64_t & ne02, + constant int64_t & ne10, + constant int64_t & ne12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, uint3 tgpig[[threadgroup_position_in_grid]], - uint tiisg[[thread_index_in_simdgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { const uint8_t kmask1 = 0x03; const uint8_t kmask2 = 0x0C; @@ -2368,12 +3312,17 @@ kernel void kernel_mul_mv_q6_K_f32( const int64_t r0 = tgpig.x; const int64_t r1 = tgpig.y; - const int r2 = tgpig.z; + const int im = tgpig.z; const int row = 2 * r0 + sgitg; - const uint offset0 = r2/gqa*(nb*ne0); + + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + const uint offset0 = (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02); + device const block_q6_K * x = (device const block_q6_K *) src0 + row * nb + offset0; - device const float * yy = (device const float *) src1 + r1*ne10 + r2*ne00*ne1; + device const float * yy = (device const float *) src1 + r1*ne10 + im*ne00*ne1; float sumf = 0; @@ -2439,10 +3388,31 @@ kernel void kernel_mul_mv_q6_K_f32( const float tot = simd_sum(sumf); if (tiisg == 0) { - dst[r1*ne0 + r2*ne0*ne1 + row] = tot; + dst[r1*ne0 + im*ne0*ne1 + row] = tot; } } +[[host_name("kernel_mul_mv_q6_K_f32")]] +kernel void kernel_mul_mv_q6_K_f32( + device const void * src0, + device const float * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne01[[buffer(4)]], + constant int64_t & ne02[[buffer(5)]], + constant int64_t & ne10[[buffer(9)]], + constant int64_t & ne12[[buffer(11)]], + constant int64_t & ne0 [[buffer(15)]], + constant int64_t & ne1 [[buffer(16)]], + constant uint & r2 [[buffer(17)]], + constant uint & r3 [[buffer(18)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + + kernel_mul_mv_q6_K_f32_impl(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3, tgpig, tiisg, sgitg); +} + //============================= templates and their specializations ============================= // NOTE: this is not dequantizing - we are simply fitting the template @@ -2560,10 +3530,10 @@ void dequantize_q8_0(device const block_q8_0 *xb, short il, thread type4x4 & reg template void dequantize_q2_K(device const block_q2_K *xb, short il, thread type4x4 & reg) { - const half d = xb->d; - const half min = xb->dmin; + const float d = xb->d; + const float min = xb->dmin; device const uint8_t * q = (device const uint8_t *)xb->qs; - half dl, ml; + float dl, ml; uint8_t sc = xb->scales[il]; #if QK_K == 256 @@ -2633,10 +3603,10 @@ void dequantize_q4_K(device const block_q4_K *xb, short il, thread type4x4 & reg q = q + (il/4) * 32 + 16 * (il&1); il = il & 3; const uchar2 sc = get_scale_min_k4_just2(is, il/2, xb->scales); - const half d = il < 2 ? xb->d : xb->d / 16.h; - const half min = xb->dmin; - const half dl = d * sc[0]; - const half ml = min * sc[1]; + const float d = il < 2 ? xb->d : xb->d / 16.h; + const float min = xb->dmin; + const float dl = d * sc[0]; + const float ml = min * sc[1]; #else q = q + 16 * (il&1); device const uint8_t * s = xb->scales; @@ -2663,13 +3633,13 @@ void dequantize_q5_K(device const block_q5_K *xb, short il, thread type4x4 & reg uint8_t ul = 1 << (il/2); il = il & 3; const uchar2 sc = get_scale_min_k4_just2(is, il/2, xb->scales); - const half d = il < 2 ? xb->d : xb->d / 16.h; - const half min = xb->dmin; - const half dl = d * sc[0]; - const half ml = min * sc[1]; + const float d = il < 2 ? xb->d : xb->d / 16.h; + const float min = xb->dmin; + const float dl = d * sc[0]; + const float ml = min * sc[1]; - const ushort mask = il<2 ? 0x0F : 0xF0; - const half qh_val = il<2 ? 16.h : 256.h; + const ushort mask = il<2 ? 0x0F : 0xF0; + const float qh_val = il<2 ? 16.f : 256.f; for (int i = 0; i < 16; ++i) { reg[i/4][i%4] = dl * ((q[i] & mask) + (qh[i] & ul ? qh_val : 0)) - ml; } @@ -2717,22 +3687,90 @@ void dequantize_q6_K(device const block_q6_K *xb, short il, thread type4x4 & reg template kernel void kernel_get_rows( device const void * src0, - device const int * src1, + device const char * src1, device float * dst, constant int64_t & ne00, constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant uint64_t & nb10, + constant uint64_t & nb11, constant uint64_t & nb1, - uint tgpig[[threadgroup_position_in_grid]], + constant uint64_t & nb2, + uint3 tgpig[[threadgroup_position_in_grid]], uint tiitg[[thread_index_in_threadgroup]], - uint tptg[[threads_per_threadgroup]]) { - const int i = tgpig; - const int r = ((device int32_t *) src1)[i]; + uint3 tptg [[threads_per_threadgroup]]) { + //const int64_t i = tgpig; + //const int64_t r = ((device int32_t *) src1)[i]; + + const int64_t i10 = tgpig.x; + const int64_t i11 = tgpig.y; - for (int ind = tiitg; ind < ne00/16; ind += tptg) { + const int64_t r = ((device int32_t *) ((device char *) src1 + i11*nb11 + i10*nb10))[0]; + + const int64_t i02 = i11; + + for (int64_t ind = tiitg; ind < ne00/16; ind += tptg.x) { float4x4 temp; dequantize_func( - ((device const block_q *) ((device char *) src0 + r*nb01)) + ind/nl, ind%nl, temp); - *(((device float4x4 *) ((device char *) dst + i*nb1)) + ind) = temp; + ((device const block_q *) ((device char *) src0 + r*nb01 + i02*nb02)) + ind/nl, ind%nl, temp); + *(((device float4x4 *) ((device char *) dst + i11*nb2 + i10*nb1)) + ind) = temp; + } +} + +kernel void kernel_get_rows_f32( + device const void * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb1, + constant uint64_t & nb2, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint3 tptg [[threads_per_threadgroup]]) { + const int64_t i10 = tgpig.x; + const int64_t i11 = tgpig.y; + + const int64_t r = ((device int32_t *) ((device char *) src1 + i11*nb11 + i10*nb10))[0]; + + const int64_t i02 = i11; + + for (int ind = tiitg; ind < ne00; ind += tptg.x) { + ((device float *) ((device char *) dst + i11*nb2 + i10*nb1))[ind] = + ((device float *) ((device char *) src0 + r*nb01 + i02*nb02))[ind]; + } +} + +kernel void kernel_get_rows_f16( + device const void * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb1, + constant uint64_t & nb2, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint3 tptg [[threads_per_threadgroup]]) { + const int64_t i10 = tgpig.x; + const int64_t i11 = tgpig.y; + + const int64_t r = ((device int32_t *) ((device char *) src1 + i11*nb11 + i10*nb10))[0]; + + const int64_t i02 = i11; + + for (int ind = tiitg; ind < ne00; ind += tptg.x) { + ((device float *) ((device char *) dst + i11*nb2 + i10*nb1))[ind] = + ((device half *) ((device char *) src0 + r*nb01 + i02*nb02))[ind]; } } @@ -2749,24 +3787,25 @@ kernel void kernel_get_rows( // each block_q contains 16*nl weights template -kernel void kernel_mul_mm(device const uchar * src0, - device const uchar * src1, - device float * dst, - constant int64_t & ne00, - constant int64_t & ne02, - constant int64_t & nb01, - constant int64_t & nb02, - constant int64_t & ne12, - constant int64_t & nb10, - constant int64_t & nb11, - constant int64_t & nb12, - constant int64_t & ne0, - constant int64_t & ne1, - constant uint & gqa, - threadgroup uchar * shared_memory [[threadgroup(0)]], - uint3 tgpig[[threadgroup_position_in_grid]], - uint tiitg[[thread_index_in_threadgroup]], - uint sgitg[[simdgroup_index_in_threadgroup]]) { +void kernel_mul_mm_impl(device const uchar * src0, + device const uchar * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne02, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & ne12, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, + threadgroup uchar * shared_memory [[threadgroup(0)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { threadgroup half * sa = (threadgroup half *)(shared_memory); threadgroup float * sb = (threadgroup float *)(shared_memory + 4096); @@ -2792,7 +3831,10 @@ kernel void kernel_mul_mm(device const uchar * src0, short il = (tiitg % THREAD_PER_ROW); - uint offset0 = im/gqa*nb02; + const uint i12 = im%ne12; + const uint i13 = im/ne12; + + uint offset0 = (i12/r2)*nb02 + (i13/r3)*(nb02*ne02); ushort offset1 = il/nl; device const block_q * x = (device const block_q *)(src0 + (r0 * BLOCK_SIZE_M + thread_row) * nb01 + offset0) + offset1; @@ -2876,17 +3918,137 @@ kernel void kernel_mul_mm(device const uchar * src0, } } +template +kernel void kernel_mul_mm(device const uchar * src0, + device const uchar * src1, + device float * dst, + constant int64_t & ne00, + constant int64_t & ne02, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & ne12, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant uint & r2, + constant uint & r3, + threadgroup uchar * shared_memory [[threadgroup(0)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + kernel_mul_mm_impl( + src0, + src1, + dst, + ne00, + ne02, + nb01, + nb02, + ne12, + nb10, + nb11, + nb12, + ne0, + ne1, + r2, + r3, + shared_memory, + tgpig, + tiitg, + sgitg); +} + +template +kernel void kernel_mul_mm_id( + device const uchar * ids, + device const uchar * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne02, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & ne12, + constant int64_t & ne13, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const uchar * src00, + device const uchar * src01, + device const uchar * src02, + device const uchar * src03, + device const uchar * src04, + device const uchar * src05, + device const uchar * src06, + device const uchar * src07, + threadgroup uchar * shared_memory [[threadgroup(0)]], + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const uchar * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mm_impl( + src0[id], + src1 + bid*nb11, + (device float *) (dst + bid*nb1), + ne00, + ne02, + nb01, + nb02, + ne12, + nb10, + nb11, + nb12, + ne0, + ne1, + r2, + r3, + shared_memory, + tgpig, + tiitg, + sgitg); +} + #if QK_K == 256 #define QK_NL 16 #else #define QK_NL 4 #endif -typedef void (get_rows_t)(device const void *, device const int *, device float *, constant int64_t &, \ - constant uint64_t &, constant uint64_t &, uint, uint, uint); +// +// get rows +// -template [[host_name("kernel_get_rows_f32")]] kernel get_rows_t kernel_get_rows; -template [[host_name("kernel_get_rows_f16")]] kernel get_rows_t kernel_get_rows; +typedef void (get_rows_t)( + device const void * src0, + device const char * src1, + device float * dst, + constant int64_t & ne00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb1, + constant uint64_t & nb2, + uint3, uint, uint3); + +//template [[host_name("kernel_get_rows_f32")]] kernel get_rows_t kernel_get_rows; +//template [[host_name("kernel_get_rows_f16")]] kernel get_rows_t kernel_get_rows; template [[host_name("kernel_get_rows_q4_0")]] kernel get_rows_t kernel_get_rows; template [[host_name("kernel_get_rows_q4_1")]] kernel get_rows_t kernel_get_rows; template [[host_name("kernel_get_rows_q5_0")]] kernel get_rows_t kernel_get_rows; @@ -2898,6 +4060,10 @@ template [[host_name("kernel_get_rows_q4_K")]] kernel get_rows_t kernel_get_rows template [[host_name("kernel_get_rows_q5_K")]] kernel get_rows_t kernel_get_rows; template [[host_name("kernel_get_rows_q6_K")]] kernel get_rows_t kernel_get_rows; +// +// matrix-matrix multiplication +// + typedef void (mat_mm_t)( device const uchar * src0, device const uchar * src1, @@ -2912,8 +4078,10 @@ typedef void (mat_mm_t)( constant int64_t & nb12, constant int64_t & ne0, constant int64_t & ne1, - constant uint & gqa, - threadgroup uchar *, uint3, uint, uint); + constant uint & r2, + constant uint & r3, + threadgroup uchar *, + uint3, uint, uint); template [[host_name("kernel_mul_mm_f32_f32")]] kernel mat_mm_t kernel_mul_mm; template [[host_name("kernel_mul_mm_f16_f32")]] kernel mat_mm_t kernel_mul_mm; @@ -2927,3 +4095,823 @@ template [[host_name("kernel_mul_mm_q3_K_f32")]] kernel mat_mm_t kernel_mul_mm; template [[host_name("kernel_mul_mm_q5_K_f32")]] kernel mat_mm_t kernel_mul_mm; template [[host_name("kernel_mul_mm_q6_K_f32")]] kernel mat_mm_t kernel_mul_mm; + +// +// indirect matrix-matrix multiplication +// + +typedef void (mat_mm_id_t)( + device const uchar * ids, + device const uchar * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne02, + constant int64_t & nb01, + constant int64_t & nb02, + constant int64_t & ne12, + constant int64_t & ne13, + constant int64_t & nb10, + constant int64_t & nb11, + constant int64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const uchar * src00, + device const uchar * src01, + device const uchar * src02, + device const uchar * src03, + device const uchar * src04, + device const uchar * src05, + device const uchar * src06, + device const uchar * src07, + threadgroup uchar *, + uint3, uint, uint); + +template [[host_name("kernel_mul_mm_id_f32_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_f16_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q4_0_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q4_1_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q5_0_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q5_1_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q8_0_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q2_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q3_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q4_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q5_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; +template [[host_name("kernel_mul_mm_id_q6_K_f32")]] kernel mat_mm_id_t kernel_mul_mm_id; + +// +// matrix-vector multiplication +// + +[[host_name("kernel_mul_mv_id_f32_f32")]] +kernel void kernel_mul_mv_id_f32_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_f32_f32_impl( + src0[id], + src1 + bid*nb11, + (device float *) (dst + bid*nb1), + ne00, + ne01, + ne02, + nb00, + nb01, + nb02, + ne10, + ne11, + ne12, + nb10, + nb11, + nb12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg); +} + +[[host_name("kernel_mul_mv_id_f16_f32")]] +kernel void kernel_mul_mv_id_f16_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_f16_f32_impl( + src0[id], + src1 + bid*nb11, + (device float *) (dst + bid*nb1), + ne00, + ne01, + ne02, + nb00, + nb01, + nb02, + ne10, + ne11, + ne12, + nb10, + nb11, + nb12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg); +} + +[[host_name("kernel_mul_mv_id_q8_0_f32")]] +kernel void kernel_mul_mv_id_q8_0_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q8_0_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q4_0_f32")]] +kernel void kernel_mul_mv_id_q4_0_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + mul_vec_q_n_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q4_1_f32")]] +kernel void kernel_mul_mv_id_q4_1_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + mul_vec_q_n_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q5_0_f32")]] +kernel void kernel_mul_mv_id_q5_0_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + mul_vec_q_n_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q5_1_f32")]] +kernel void kernel_mul_mv_id_q5_1_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + mul_vec_q_n_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q2_K_f32")]] +kernel void kernel_mul_mv_id_q2_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q2_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q3_K_f32")]] +kernel void kernel_mul_mv_id_q3_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q3_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q4_K_f32")]] +kernel void kernel_mul_mv_id_q4_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q4_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q5_K_f32")]] +kernel void kernel_mul_mv_id_q5_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q5_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} + +[[host_name("kernel_mul_mv_id_q6_K_f32")]] +kernel void kernel_mul_mv_id_q6_K_f32( + device const char * ids, + device const char * src1, + device uchar * dst, + constant int64_t & nbi1, + constant int64_t & ne00, + constant int64_t & ne01, + constant int64_t & ne02, + constant uint64_t & nb00, + constant uint64_t & nb01, + constant uint64_t & nb02, + constant int64_t & ne10, + constant int64_t & ne11, + constant int64_t & ne12, + constant int64_t & ne13, + constant uint64_t & nb10, + constant uint64_t & nb11, + constant uint64_t & nb12, + constant int64_t & ne0, + constant int64_t & ne1, + constant int64_t & nb1, + constant uint & r2, + constant uint & r3, + constant int & idx, + device const char * src00, + device const char * src01, + device const char * src02, + device const char * src03, + device const char * src04, + device const char * src05, + device const char * src06, + device const char * src07, + uint3 tgpig[[threadgroup_position_in_grid]], + uint tiitg[[thread_index_in_threadgroup]], + uint tiisg[[thread_index_in_simdgroup]], + uint sgitg[[simdgroup_index_in_threadgroup]]) { + device const char * src0[8] = {src00, src01, src02, src03, src04, src05, src06, src07}; + + const int64_t bid = tgpig.z/(ne12*ne13); + + tgpig.z = tgpig.z%(ne12*ne13); + + const int32_t id = ((device int32_t *) (ids + bid*nbi1))[idx]; + + kernel_mul_mv_q6_K_f32_impl( + src0[id], + (device const float *) (src1 + bid*nb11), + (device float *) ( dst + bid*nb1), + ne00, + ne01, + ne02, + ne10, + ne12, + ne0, + ne1, + r2, + r3, + tgpig, + tiisg, + sgitg); +} diff --git a/ggml-opencl.cpp b/ggml-opencl.cpp index 202bcb48538..496f9cdca54 100644 --- a/ggml-opencl.cpp +++ b/ggml-opencl.cpp @@ -1,20 +1,18 @@ +#include "ggml.h" #include "ggml-opencl.h" #include #include +#include +#include +#include +#include #include #include -#include #define CL_TARGET_OPENCL_VERSION 110 #include -#include -#include -#include - -#include "ggml.h" - #if defined(_MSC_VER) #pragma warning(disable: 4244 4267) // possible loss of data #endif diff --git a/ggml-opencl.h b/ggml-opencl.h index a92b445c9d7..44d05bd64a3 100644 --- a/ggml-opencl.h +++ b/ggml-opencl.h @@ -6,19 +6,19 @@ extern "C" { #endif -void ggml_cl_init(void); +GGML_API void ggml_cl_init(void); -void ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); -bool ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); -size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); -void ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize); +GGML_API void ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); +GGML_API bool ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); +GGML_API size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); +GGML_API void ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize); -void * ggml_cl_host_malloc(size_t size); -void ggml_cl_host_free(void * ptr); +GGML_API void * ggml_cl_host_malloc(size_t size); +GGML_API void ggml_cl_host_free(void * ptr); -void ggml_cl_free_data(const struct ggml_tensor* tensor); +GGML_API void ggml_cl_free_data(const struct ggml_tensor* tensor); -void ggml_cl_transform_tensor(void * data, struct ggml_tensor * tensor); +GGML_API void ggml_cl_transform_tensor(void * data, struct ggml_tensor * tensor); #ifdef __cplusplus } diff --git a/ggml-quants.c b/ggml-quants.c index cf2860b8cbd..05ef8f9b7e5 100644 --- a/ggml-quants.c +++ b/ggml-quants.c @@ -19,7 +19,7 @@ #ifdef __wasm_simd128__ #include #else -#ifdef __POWER9_VECTOR__ +#if defined(__POWER9_VECTOR__) || defined(__powerpc64__) #include #undef bool #define bool _Bool @@ -407,6 +407,18 @@ inline static ggml_int8x16x4_t ggml_vld1q_s8_x4(const int8_t * ptr) { #define ggml_vld1q_s8_x4 vld1q_s8_x4 #endif + +#if !defined(__ARM_FEATURE_DOTPROD) + +inline static int32x4_t vdotq_s32(int32x4_t acc, int8x16_t a, int8x16_t b) { + const int16x8_t p0 = vmull_s8(vget_low_s8 (a), vget_low_s8 (b)); + const int16x8_t p1 = vmull_s8(vget_high_s8(a), vget_high_s8(b)); + + return vaddq_s32(acc, vaddq_s32(vpaddlq_s16(p0), vpaddlq_s16(p1))); +} + +#endif + #endif #if defined(__ARM_NEON) || defined(__wasm_simd128__) @@ -2468,32 +2480,12 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, const void * restrict vx, const int8x16_t v1_1l = vld1q_s8(y1->qs); const int8x16_t v1_1h = vld1q_s8(y1->qs + 16); -#if defined(__ARM_FEATURE_DOTPROD) // dot product into int32x4_t const int32x4_t p_0 = vdotq_s32(vdotq_s32(vdupq_n_s32(0), v0_0ls, v1_0l), v0_0hs, v1_0h); const int32x4_t p_1 = vdotq_s32(vdotq_s32(vdupq_n_s32(0), v0_1ls, v1_1l), v0_1hs, v1_1h); sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(p_0), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d)); sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(p_1), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d)); -#else - const int16x8_t pl0l = vmull_s8(vget_low_s8 (v0_0ls), vget_low_s8 (v1_0l)); - const int16x8_t pl0h = vmull_s8(vget_high_s8(v0_0ls), vget_high_s8(v1_0l)); - const int16x8_t ph0l = vmull_s8(vget_low_s8 (v0_0hs), vget_low_s8 (v1_0h)); - const int16x8_t ph0h = vmull_s8(vget_high_s8(v0_0hs), vget_high_s8(v1_0h)); - - const int16x8_t pl1l = vmull_s8(vget_low_s8 (v0_1ls), vget_low_s8 (v1_1l)); - const int16x8_t pl1h = vmull_s8(vget_high_s8(v0_1ls), vget_high_s8(v1_1l)); - const int16x8_t ph1l = vmull_s8(vget_low_s8 (v0_1hs), vget_low_s8 (v1_1h)); - const int16x8_t ph1h = vmull_s8(vget_high_s8(v0_1hs), vget_high_s8(v1_1h)); - - const int32x4_t pl0 = vaddq_s32(vpaddlq_s16(pl0l), vpaddlq_s16(pl0h)); - const int32x4_t ph0 = vaddq_s32(vpaddlq_s16(ph0l), vpaddlq_s16(ph0h)); - const int32x4_t pl1 = vaddq_s32(vpaddlq_s16(pl1l), vpaddlq_s16(pl1h)); - const int32x4_t ph1 = vaddq_s32(vpaddlq_s16(ph1l), vpaddlq_s16(ph1h)); - - sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(pl0, ph0)), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d)); - sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(pl1, ph1)), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d)); -#endif } *s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1); @@ -2776,32 +2768,12 @@ void ggml_vec_dot_q4_1_q8_1(const int n, float * restrict s, const void * restri const int8x16_t v1_1l = vld1q_s8(y1->qs); const int8x16_t v1_1h = vld1q_s8(y1->qs + 16); -#if defined(__ARM_FEATURE_DOTPROD) // dot product into int32x4_t const int32x4_t p_0 = vdotq_s32(vdotq_s32(vdupq_n_s32(0), v0_0l, v1_0l), v0_0h, v1_0h); const int32x4_t p_1 = vdotq_s32(vdotq_s32(vdupq_n_s32(0), v0_1l, v1_1l), v0_1h, v1_1h); sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(p_0), GGML_FP16_TO_FP32(x0->d)*y0->d); sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(p_1), GGML_FP16_TO_FP32(x1->d)*y1->d); -#else - const int16x8_t pl0l = vmull_s8(vget_low_s8 (v0_0l), vget_low_s8 (v1_0l)); - const int16x8_t pl0h = vmull_s8(vget_high_s8(v0_0l), vget_high_s8(v1_0l)); - const int16x8_t ph0l = vmull_s8(vget_low_s8 (v0_0h), vget_low_s8 (v1_0h)); - const int16x8_t ph0h = vmull_s8(vget_high_s8(v0_0h), vget_high_s8(v1_0h)); - - const int16x8_t pl1l = vmull_s8(vget_low_s8 (v0_1l), vget_low_s8 (v1_1l)); - const int16x8_t pl1h = vmull_s8(vget_high_s8(v0_1l), vget_high_s8(v1_1l)); - const int16x8_t ph1l = vmull_s8(vget_low_s8 (v0_1h), vget_low_s8 (v1_1h)); - const int16x8_t ph1h = vmull_s8(vget_high_s8(v0_1h), vget_high_s8(v1_1h)); - - const int32x4_t pl0 = vaddq_s32(vpaddlq_s16(pl0l), vpaddlq_s16(pl0h)); - const int32x4_t ph0 = vaddq_s32(vpaddlq_s16(ph0l), vpaddlq_s16(ph0h)); - const int32x4_t pl1 = vaddq_s32(vpaddlq_s16(pl1l), vpaddlq_s16(pl1h)); - const int32x4_t ph1 = vaddq_s32(vpaddlq_s16(ph1l), vpaddlq_s16(ph1h)); - - sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(pl0, ph0)), GGML_FP16_TO_FP32(x0->d)*y0->d); - sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(pl1, ph1)), GGML_FP16_TO_FP32(x1->d)*y1->d); -#endif } *s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1) + summs; @@ -2963,32 +2935,12 @@ void ggml_vec_dot_q5_0_q8_0(const int n, float * restrict s, const void * restri const int8x16_t v1_1l = vld1q_s8(y1->qs); const int8x16_t v1_1h = vld1q_s8(y1->qs + 16); -#if defined(__ARM_FEATURE_DOTPROD) sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32( vdotq_s32(vdupq_n_s32(0), v0_0lf, v1_0l), vdotq_s32(vdupq_n_s32(0), v0_0hf, v1_0h))), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d)); sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32( vdotq_s32(vdupq_n_s32(0), v0_1lf, v1_1l), vdotq_s32(vdupq_n_s32(0), v0_1hf, v1_1h))), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d)); -#else - const int16x8_t pl0l = vmull_s8(vget_low_s8 (v0_0lf), vget_low_s8 (v1_0l)); - const int16x8_t pl0h = vmull_s8(vget_high_s8(v0_0lf), vget_high_s8(v1_0l)); - const int16x8_t ph0l = vmull_s8(vget_low_s8 (v0_0hf), vget_low_s8 (v1_0h)); - const int16x8_t ph0h = vmull_s8(vget_high_s8(v0_0hf), vget_high_s8(v1_0h)); - - const int16x8_t pl1l = vmull_s8(vget_low_s8 (v0_1lf), vget_low_s8 (v1_1l)); - const int16x8_t pl1h = vmull_s8(vget_high_s8(v0_1lf), vget_high_s8(v1_1l)); - const int16x8_t ph1l = vmull_s8(vget_low_s8 (v0_1hf), vget_low_s8 (v1_1h)); - const int16x8_t ph1h = vmull_s8(vget_high_s8(v0_1hf), vget_high_s8(v1_1h)); - - const int32x4_t pl0 = vaddq_s32(vpaddlq_s16(pl0l), vpaddlq_s16(pl0h)); - const int32x4_t ph0 = vaddq_s32(vpaddlq_s16(ph0l), vpaddlq_s16(ph0h)); - const int32x4_t pl1 = vaddq_s32(vpaddlq_s16(pl1l), vpaddlq_s16(pl1h)); - const int32x4_t ph1 = vaddq_s32(vpaddlq_s16(ph1l), vpaddlq_s16(ph1h)); - - sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(pl0, ph0)), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d)); - sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(pl1, ph1)), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d)); -#endif } *s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1); @@ -3114,7 +3066,7 @@ void ggml_vec_dot_q5_0_q8_0(const int n, float * restrict s, const void * restri size_t vl = __riscv_vsetvl_e8m1(qk/2); - // These tempory registers are for masking and shift operations + // These temporary registers are for masking and shift operations vuint32m2_t vt_1 = __riscv_vid_v_u32m2(vl); vuint32m2_t vt_2 = __riscv_vsll_vv_u32m2(__riscv_vmv_v_x_u32m2(1, vl), vt_1, vl); @@ -3275,32 +3227,12 @@ void ggml_vec_dot_q5_1_q8_1(const int n, float * restrict s, const void * restri const int8x16_t v1_1l = vld1q_s8(y1->qs); const int8x16_t v1_1h = vld1q_s8(y1->qs + 16); -#if defined(__ARM_FEATURE_DOTPROD) sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32( vdotq_s32(vdupq_n_s32(0), v0_0lf, v1_0l), vdotq_s32(vdupq_n_s32(0), v0_0hf, v1_0h))), GGML_FP16_TO_FP32(x0->d)*y0->d); sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32( vdotq_s32(vdupq_n_s32(0), v0_1lf, v1_1l), vdotq_s32(vdupq_n_s32(0), v0_1hf, v1_1h))), GGML_FP16_TO_FP32(x1->d)*y1->d); -#else - const int16x8_t pl0l = vmull_s8(vget_low_s8 (v0_0lf), vget_low_s8 (v1_0l)); - const int16x8_t pl0h = vmull_s8(vget_high_s8(v0_0lf), vget_high_s8(v1_0l)); - const int16x8_t ph0l = vmull_s8(vget_low_s8 (v0_0hf), vget_low_s8 (v1_0h)); - const int16x8_t ph0h = vmull_s8(vget_high_s8(v0_0hf), vget_high_s8(v1_0h)); - - const int16x8_t pl1l = vmull_s8(vget_low_s8 (v0_1lf), vget_low_s8 (v1_1l)); - const int16x8_t pl1h = vmull_s8(vget_high_s8(v0_1lf), vget_high_s8(v1_1l)); - const int16x8_t ph1l = vmull_s8(vget_low_s8 (v0_1hf), vget_low_s8 (v1_1h)); - const int16x8_t ph1h = vmull_s8(vget_high_s8(v0_1hf), vget_high_s8(v1_1h)); - - const int32x4_t pl0 = vaddq_s32(vpaddlq_s16(pl0l), vpaddlq_s16(pl0h)); - const int32x4_t ph0 = vaddq_s32(vpaddlq_s16(ph0l), vpaddlq_s16(ph0h)); - const int32x4_t pl1 = vaddq_s32(vpaddlq_s16(pl1l), vpaddlq_s16(pl1h)); - const int32x4_t ph1 = vaddq_s32(vpaddlq_s16(ph1l), vpaddlq_s16(ph1h)); - - sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(pl0, ph0)), GGML_FP16_TO_FP32(x0->d)*y0->d); - sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(pl1, ph1)), GGML_FP16_TO_FP32(x1->d)*y1->d); -#endif } *s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1) + summs0 + summs1; @@ -3550,7 +3482,6 @@ void ggml_vec_dot_q8_0_q8_0(const int n, float * restrict s, const void * restri const int8x16_t y1_0 = vld1q_s8(y1->qs); const int8x16_t y1_1 = vld1q_s8(y1->qs + 16); -#if defined(__ARM_FEATURE_DOTPROD) sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32( vdotq_s32(vdupq_n_s32(0), x0_0, y0_0), vdotq_s32(vdupq_n_s32(0), x0_1, y0_1))), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d)); @@ -3558,26 +3489,6 @@ void ggml_vec_dot_q8_0_q8_0(const int n, float * restrict s, const void * restri sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32( vdotq_s32(vdupq_n_s32(0), x1_0, y1_0), vdotq_s32(vdupq_n_s32(0), x1_1, y1_1))), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d)); - -#else - const int16x8_t p0_0 = vmull_s8(vget_low_s8 (x0_0), vget_low_s8 (y0_0)); - const int16x8_t p0_1 = vmull_s8(vget_high_s8(x0_0), vget_high_s8(y0_0)); - const int16x8_t p0_2 = vmull_s8(vget_low_s8 (x0_1), vget_low_s8 (y0_1)); - const int16x8_t p0_3 = vmull_s8(vget_high_s8(x0_1), vget_high_s8(y0_1)); - - const int16x8_t p1_0 = vmull_s8(vget_low_s8 (x1_0), vget_low_s8 (y1_0)); - const int16x8_t p1_1 = vmull_s8(vget_high_s8(x1_0), vget_high_s8(y1_0)); - const int16x8_t p1_2 = vmull_s8(vget_low_s8 (x1_1), vget_low_s8 (y1_1)); - const int16x8_t p1_3 = vmull_s8(vget_high_s8(x1_1), vget_high_s8(y1_1)); - - const int32x4_t p0 = vaddq_s32(vpaddlq_s16(p0_0), vpaddlq_s16(p0_1)); - const int32x4_t p1 = vaddq_s32(vpaddlq_s16(p0_2), vpaddlq_s16(p0_3)); - const int32x4_t p2 = vaddq_s32(vpaddlq_s16(p1_0), vpaddlq_s16(p1_1)); - const int32x4_t p3 = vaddq_s32(vpaddlq_s16(p1_2), vpaddlq_s16(p1_3)); - - sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(p0, p1)), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d)); - sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(p2, p3)), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d)); -#endif } *s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1); @@ -3650,12 +3561,10 @@ void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restri const int nb = n / QK_K; #ifdef __ARM_NEON - const uint8x16_t m3 = vdupq_n_u8(0x3); const uint8x16_t m4 = vdupq_n_u8(0xF); -#if defined(__ARM_FEATURE_DOTPROD) - const int32x4_t vzero = vdupq_n_s32(0); -#endif + + const int32x4_t vzero = vdupq_n_s32(0); ggml_int8x16x2_t q2bytes; uint8_t aux[16]; @@ -3663,7 +3572,6 @@ void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restri float sum = 0; for (int i = 0; i < nb; ++i) { - const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d); const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin); @@ -3677,7 +3585,7 @@ void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restri const uint8x16_t mins = vshrq_n_u8(mins_and_scales, 4); const ggml_int16x8x2_t q8sums = ggml_vld1q_s16_x2(y[i].bsums); - const ggml_int16x8x2_t mins16 = {vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(mins))), vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(mins)))}; + const ggml_int16x8x2_t mins16 = {{vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(mins))), vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(mins)))}}; const int32x4_t s0 = vaddq_s32(vmull_s16(vget_low_s16 (mins16.val[0]), vget_low_s16 (q8sums.val[0])), vmull_s16(vget_high_s16(mins16.val[0]), vget_high_s16(q8sums.val[0]))); const int32x4_t s1 = vaddq_s32(vmull_s16(vget_low_s16 (mins16.val[1]), vget_low_s16 (q8sums.val[1])), @@ -3689,20 +3597,9 @@ void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restri // We use this macro instead of a function call because for some reason // the code runs 2-3% slower, even if the function is declared inline -#if defined(__ARM_FEATURE_DOTPROD) #define MULTIPLY_ACCUM_WITH_SCALE(index)\ isum += vaddvq_s32(vdotq_s32(vzero, q2bytes.val[0], q8bytes.val[0])) * aux[is+(index)];\ isum += vaddvq_s32(vdotq_s32(vzero, q2bytes.val[1], q8bytes.val[1])) * aux[is+1+(index)]; -#else -#define MULTIPLY_ACCUM_WITH_SCALE(index)\ - {\ - const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q2bytes.val[0]), vget_low_s8 (q8bytes.val[0])),\ - vmull_s8(vget_high_s8(q2bytes.val[0]), vget_high_s8(q8bytes.val[0])));\ - const int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q2bytes.val[1]), vget_low_s8 (q8bytes.val[1])),\ - vmull_s8(vget_high_s8(q2bytes.val[1]), vget_high_s8(q8bytes.val[1])));\ - isum += vaddvq_s16(p1) * aux[is+(index)] + vaddvq_s16(p2) * aux[is+1+(index)];\ - } -#endif #define SHIFT_MULTIPLY_ACCUM_WITH_SCALE(shift, index)\ q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32;\ @@ -3710,26 +3607,23 @@ void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restri q2bytes.val[1] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits.val[1], (shift)), m3));\ MULTIPLY_ACCUM_WITH_SCALE((index)); - for (int j = 0; j < QK_K/128; ++j) { - const ggml_uint8x16x2_t q2bits = ggml_vld1q_u8_x2(q2); q2 += 32; ggml_int8x16x2_t q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32; q2bytes.val[0] = vreinterpretq_s8_u8(vandq_u8(q2bits.val[0], m3)); q2bytes.val[1] = vreinterpretq_s8_u8(vandq_u8(q2bits.val[1], m3)); + MULTIPLY_ACCUM_WITH_SCALE(0); SHIFT_MULTIPLY_ACCUM_WITH_SCALE(2, 2); - SHIFT_MULTIPLY_ACCUM_WITH_SCALE(4, 4); - SHIFT_MULTIPLY_ACCUM_WITH_SCALE(6, 6); is += 8; } - sum += d * isum; + sum += d * isum; } *s = sum; @@ -4043,11 +3937,9 @@ void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restri const int nb = n / QK_K; #ifdef __ARM_NEON - const uint8x16_t m3 = vdupq_n_u8(0x3); -#if defined(__ARM_FEATURE_DOTPROD) - const int32x4_t vzero = vdupq_n_s32(0); -#endif + + const int32x4_t vzero = vdupq_n_s32(0); ggml_int8x16x4_t q2bytes; @@ -4081,28 +3973,12 @@ void ggml_vec_dot_q2_K_q8_K(const int n, float * restrict s, const void * restri q2bytes.val[2] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits, 4), m3)); q2bytes.val[3] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits, 6), m3)); -#if defined(__ARM_FEATURE_DOTPROD) isum1 += vaddvq_s32(vdotq_s32(vzero, q2bytes.val[0], q8bytes.val[0])) * scales[0]; isum2 += vaddvq_s32(vdotq_s32(vzero, q2bytes.val[1], q8bytes.val[1])) * scales[1]; isum1 += vaddvq_s32(vdotq_s32(vzero, q2bytes.val[2], q8bytes.val[2])) * scales[2]; isum2 += vaddvq_s32(vdotq_s32(vzero, q2bytes.val[3], q8bytes.val[3])) * scales[3]; -#else - const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q2bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q2bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - const int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q2bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q2bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - isum1 += vaddvq_s16(p1) * scales[0]; - isum2 += vaddvq_s16(p2) * scales[1]; - - const int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q2bytes.val[2]), vget_low_s8 (q8bytes.val[2])), - vmull_s8(vget_high_s8(q2bytes.val[2]), vget_high_s8(q8bytes.val[2]))); - const int16x8_t p4 = vaddq_s16(vmull_s8(vget_low_s8 (q2bytes.val[3]), vget_low_s8 (q8bytes.val[3])), - vmull_s8(vget_high_s8(q2bytes.val[3]), vget_high_s8(q8bytes.val[3]))); - isum1 += vaddvq_s16(p3) * scales[2]; - isum2 += vaddvq_s16(p4) * scales[3]; -#endif - sum += d * (isum1 + isum2); + sum += d * (isum1 + isum2); } *s = sum; @@ -4328,9 +4204,7 @@ void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restri uint32_t utmp[4]; const uint8x16_t m3b = vdupq_n_u8(0x3); -#ifdef __ARM_FEATURE_DOTPROD const int32x4_t vzero = vdupq_n_s32(0); -#endif const uint8x16_t m0 = vdupq_n_u8(1); const uint8x16_t m1 = vshlq_n_u8(m0, 1); @@ -4382,22 +4256,11 @@ void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restri q3bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[0], 2), m3b)), vreinterpretq_s8_u8(q3h.val[2])); q3bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[1], 2), m3b)), vreinterpretq_s8_u8(q3h.val[3])); -#if defined(__ARM_FEATURE_DOTPROD) isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[0], q8bytes_1.val[0])) * scale[0]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[1], q8bytes_1.val[1])) * scale[1]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[2], q8bytes_1.val[2])) * scale[2]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[3], q8bytes_1.val[3])) * scale[3]; -#else - int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[0]), vget_low_s8 (q8bytes_1.val[0])), - vmull_s8(vget_high_s8(q3bytes.val[0]), vget_high_s8(q8bytes_1.val[0]))); - int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[1]), vget_low_s8 (q8bytes_1.val[1])), - vmull_s8(vget_high_s8(q3bytes.val[1]), vget_high_s8(q8bytes_1.val[1]))); - int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[2]), vget_low_s8 (q8bytes_1.val[2])), - vmull_s8(vget_high_s8(q3bytes.val[2]), vget_high_s8(q8bytes_1.val[2]))); - int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[3]), vget_low_s8 (q8bytes_1.val[3])), - vmull_s8(vget_high_s8(q3bytes.val[3]), vget_high_s8(q8bytes_1.val[3]))); - isum += vaddvq_s16(p0) * scale[0] + vaddvq_s16(p1) * scale[1] + vaddvq_s16(p2) * scale[2] + vaddvq_s16(p3) * scale[3]; -#endif + scale += 4; q3h.val[0] = vbicq_u8(m2, qhbits.val[0]); @@ -4410,22 +4273,11 @@ void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restri q3bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[0], 6), m3b)), vreinterpretq_s8_u8(q3h.val[2])); q3bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[1], 6), m3b)), vreinterpretq_s8_u8(q3h.val[3])); -#if defined(__ARM_FEATURE_DOTPROD) isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[0], q8bytes_2.val[0])) * scale[0]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[1], q8bytes_2.val[1])) * scale[1]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[2], q8bytes_2.val[2])) * scale[2]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[3], q8bytes_2.val[3])) * scale[3]; -#else - p0 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[0]), vget_low_s8 (q8bytes_2.val[0])), - vmull_s8(vget_high_s8(q3bytes.val[0]), vget_high_s8(q8bytes_2.val[0]))); - p1 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[1]), vget_low_s8 (q8bytes_2.val[1])), - vmull_s8(vget_high_s8(q3bytes.val[1]), vget_high_s8(q8bytes_2.val[1]))); - p2 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[2]), vget_low_s8 (q8bytes_2.val[2])), - vmull_s8(vget_high_s8(q3bytes.val[2]), vget_high_s8(q8bytes_2.val[2]))); - p3 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[3]), vget_low_s8 (q8bytes_2.val[3])), - vmull_s8(vget_high_s8(q3bytes.val[3]), vget_high_s8(q8bytes_2.val[3]))); - isum += vaddvq_s16(p0) * scale[0] + vaddvq_s16(p1) * scale[1] + vaddvq_s16(p2) * scale[2] + vaddvq_s16(p3) * scale[3]; -#endif + scale += 4; if (j == 0) { @@ -4757,7 +4609,7 @@ void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restri vl = 16; - // retreive lane to multiply with scale + // retrieve lane to multiply with scale vint32m2_t aux0_0 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a0, 0), (scale[0]), vl); vint32m2_t aux0_1 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a0, 1), (scale[1]), vl); vint32m2_t aux1_0 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a1, 0), (scale[2]), vl); @@ -4864,10 +4716,7 @@ void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restri const int nb = n / QK_K; #ifdef __ARM_NEON - -#ifdef __ARM_FEATURE_DOTPROD - const int32x4_t vzero = vdupq_n_s32(0); -#endif + const int32x4_t vzero = vdupq_n_s32(0); const uint8x16_t m3b = vdupq_n_u8(0x3); const uint8x16_t mh = vdupq_n_u8(4); @@ -4908,22 +4757,10 @@ void ggml_vec_dot_q3_K_q8_K(const int n, float * restrict s, const void * restri q3bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(vshrq_n_u8(q3bits, 4), m3b), q3h.val[2])); q3bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q3bits, 6), q3h.val[3])); -#if defined(__ARM_FEATURE_DOTPROD) isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[0], q8bytes.val[0])) * scales[0]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[1], q8bytes.val[1])) * scales[2]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[2], q8bytes.val[2])) * scales[1]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[3], q8bytes.val[3])) * scales[3]; -#else - const int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q3bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q3bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - const int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[2]), vget_low_s8 (q8bytes.val[2])), - vmull_s8(vget_high_s8(q3bytes.val[2]), vget_high_s8(q8bytes.val[2]))); - const int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[3]), vget_low_s8 (q8bytes.val[3])), - vmull_s8(vget_high_s8(q3bytes.val[3]), vget_high_s8(q8bytes.val[3]))); - isum += vaddvq_s16(p0) * scales[0] + vaddvq_s16(p1) * scales[2] + vaddvq_s16(p2) * scales[1] + vaddvq_s16(p3) * scales[3]; -#endif sum += d * isum; @@ -5228,11 +5065,8 @@ void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restri uint32_t utmp[4]; #ifdef __ARM_NEON - const uint8x16_t m4b = vdupq_n_u8(0xf); -#ifdef __ARM_FEATURE_DOTPROD const int32x4_t mzero = vdupq_n_s32(0); -#endif ggml_int8x16x2_t q4bytes; ggml_int8x16x2_t q8bytes; @@ -5269,10 +5103,8 @@ void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restri int32_t sumi2 = 0; for (int j = 0; j < QK_K/64; ++j) { - const ggml_uint8x16x2_t q4bits = ggml_vld1q_u8_x2(q4); q4 += 32; -#ifdef __ARM_FEATURE_DOTPROD q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32; q4bytes.val[0] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[0], m4b)); q4bytes.val[1] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[1], m4b)); @@ -5287,26 +5119,6 @@ void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restri const int32x4_t p2 = vdotq_s32(vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[0]), q4bytes.val[1], q8bytes.val[1]); sumi2 += vaddvq_s32(p2) * scales[2*j+1]; -#else - q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32; - q4bytes.val[0] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[0], m4b)); - q4bytes.val[1] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[1], m4b)); - const int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q4bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q4bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - sumi1 += vaddvq_s16(vaddq_s16(p0, p1)) * scales[2*j+0]; - - q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32; - q4bytes.val[0] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[0], 4)); - q4bytes.val[1] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[1], 4)); - const int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q4bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - const int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q4bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - sumi2 += vaddvq_s16(vaddq_s16(p2, p3)) * scales[2*j+1]; - -#endif } sumf += d * (sumi1 + sumi2); @@ -5603,12 +5415,9 @@ void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restri const int nb = n / QK_K; #ifdef __ARM_NEON - const uint8x16_t m4b = vdupq_n_u8(0xf); -#ifdef __ARM_FEATURE_DOTPROD const int32x4_t mzero = vdupq_n_s32(0); -#endif float sumf = 0; @@ -5636,7 +5445,6 @@ void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restri const ggml_uint8x16x2_t q4bits = ggml_vld1q_u8_x2(q4); -#ifdef __ARM_FEATURE_DOTPROD q8bytes = ggml_vld1q_s8_x4(q8); q4bytes.val[0] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[0], m4b)); q4bytes.val[1] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[1], m4b)); @@ -5650,27 +5458,7 @@ void ggml_vec_dot_q4_K_q8_K(const int n, float * restrict s, const void * restri const int32x4_t p2 = vdotq_s32(vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[2]), q4bytes.val[1], q8bytes.val[3]); const int32_t sumi2 = vaddvq_s32(p2) * scales[1]; -#else - q8bytes = ggml_vld1q_s8_x4(q8); - q4bytes.val[0] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[0], m4b)); - q4bytes.val[1] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[1], m4b)); - const int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q4bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q4bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - int32_t sumi1 = vaddvq_s16(vaddq_s16(p0, p1)) * scales[0]; - - q4bytes.val[0] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[0], 4)); - q4bytes.val[1] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[1], 4)); - const int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[0]), vget_low_s8 (q8bytes.val[2])), - vmull_s8(vget_high_s8(q4bytes.val[0]), vget_high_s8(q8bytes.val[2]))); - const int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[1]), vget_low_s8 (q8bytes.val[3])), - vmull_s8(vget_high_s8(q4bytes.val[1]), vget_high_s8(q8bytes.val[3]))); - int32_t sumi2 = vaddvq_s16(vaddq_s16(p2, p3)) * scales[1]; - -#endif sumf += d * (sumi1 + sumi2); - } *s = sumf - sum_mins; @@ -5875,15 +5663,11 @@ void ggml_vec_dot_q5_K_q8_K(const int n, float * restrict s, const void * restri uint32_t utmp[4]; - #ifdef __ARM_NEON - const uint8x16_t m4b = vdupq_n_u8(0xf); const uint8x16_t mone = vdupq_n_u8(1); const uint8x16_t mtwo = vdupq_n_u8(2); -#if defined(__ARM_FEATURE_DOTPROD) const int32x4_t mzero = vdupq_n_s32(0); -#endif ggml_int8x16x4_t q5bytes; @@ -5938,28 +5722,11 @@ void ggml_vec_dot_q5_K_q8_K(const int n, float * restrict s, const void * restri q5bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q5bits.val[0], 4), q5h.val[2])); q5bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q5bits.val[1], 4), q5h.val[3])); -#if defined(__ARM_FEATURE_DOTPROD) - sumi += vaddvq_s32(vdotq_s32(vdotq_s32(mzero, q5bytes.val[0], q8bytes.val[0]), q5bytes.val[1], q8bytes.val[1])) * *scales++; sumi += vaddvq_s32(vdotq_s32(vdotq_s32(mzero, q5bytes.val[2], q8bytes.val[2]), q5bytes.val[3], q8bytes.val[3])) * *scales++; -#else - - const int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q5bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q5bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - sumi += vaddvq_s16(vaddq_s16(p0, p1)) * *scales++; - - const int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[2]), vget_low_s8 (q8bytes.val[2])), - vmull_s8(vget_high_s8(q5bytes.val[2]), vget_high_s8(q8bytes.val[2]))); - const int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[3]), vget_low_s8 (q8bytes.val[3])), - vmull_s8(vget_high_s8(q5bytes.val[3]), vget_high_s8(q8bytes.val[3]))); - sumi += vaddvq_s16(vaddq_s16(p2, p3)) * *scales++; -#endif } sumf += d * sumi - dmin * sumi_mins; - } *s = sumf; @@ -6311,12 +6078,9 @@ void ggml_vec_dot_q5_K_q8_K(const int n, float * restrict s, const void * restri const int nb = n / QK_K; #ifdef __ARM_NEON - const uint8x16_t m4b = vdupq_n_u8(0xf); const uint8x16_t mh = vdupq_n_u8(16); -#if defined(__ARM_FEATURE_DOTPROD) const int32x4_t mzero = vdupq_n_s32(0); -#endif ggml_int8x16x4_t q5bytes; ggml_uint8x16x4_t q5h; @@ -6348,32 +6112,12 @@ void ggml_vec_dot_q5_K_q8_K(const int n, float * restrict s, const void * restri q5bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vshrq_n_u8(q5bits.val[0], 4)), vreinterpretq_s8_u8(q5h.val[2])); q5bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vshrq_n_u8(q5bits.val[1], 4)), vreinterpretq_s8_u8(q5h.val[3])); -#if defined(__ARM_FEATURE_DOTPROD) - int32_t sumi1 = sc[0] * vaddvq_s32(vdotq_s32(mzero, q5bytes.val[0], q8bytes.val[0])); int32_t sumi2 = sc[1] * vaddvq_s32(vdotq_s32(mzero, q5bytes.val[1], q8bytes.val[1])); int32_t sumi3 = sc[2] * vaddvq_s32(vdotq_s32(mzero, q5bytes.val[2], q8bytes.val[2])); int32_t sumi4 = sc[3] * vaddvq_s32(vdotq_s32(mzero, q5bytes.val[3], q8bytes.val[3])); sumf += d * (sumi1 + sumi2 + sumi3 + sumi4); - -#else - - const int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q5bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q5bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - int32_t sumi = sc[0] * vaddvq_s16(p0) + sc[1] * vaddvq_s16(p1); - - const int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[2]), vget_low_s8 (q8bytes.val[2])), - vmull_s8(vget_high_s8(q5bytes.val[2]), vget_high_s8(q8bytes.val[2]))); - const int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[3]), vget_low_s8 (q8bytes.val[3])), - vmull_s8(vget_high_s8(q5bytes.val[3]), vget_high_s8(q8bytes.val[3]))); - sumi += sc[2] * vaddvq_s16(p2) + sc[3] * vaddvq_s16(p3); - - sumf += d*sumi; -#endif - } *s = sumf; @@ -6600,13 +6344,10 @@ void ggml_vec_dot_q6_K_q8_K(const int n, float * restrict s, const void * restri const int nb = n / QK_K; #ifdef __ARM_NEON - float sum = 0; const uint8x16_t m4b = vdupq_n_u8(0xF); -#if defined(__ARM_FEATURE_DOTPROD) const int32x4_t vzero = vdupq_n_s32(0); -#endif //const int8x16_t m32s = vdupq_n_s8(32); const uint8x16_t mone = vdupq_n_u8(3); @@ -6626,7 +6367,7 @@ void ggml_vec_dot_q6_K_q8_K(const int n, float * restrict s, const void * restri const ggml_int16x8x2_t q8sums = ggml_vld1q_s16_x2(y[i].bsums); const int8x16_t scales = vld1q_s8(scale); - const ggml_int16x8x2_t q6scales = {vmovl_s8(vget_low_s8(scales)), vmovl_s8(vget_high_s8(scales))}; + const ggml_int16x8x2_t q6scales = {{vmovl_s8(vget_low_s8(scales)), vmovl_s8(vget_high_s8(scales))}}; const int32x4_t prod = vaddq_s32(vaddq_s32(vmull_s16(vget_low_s16 (q8sums.val[0]), vget_low_s16 (q6scales.val[0])), vmull_s16(vget_high_s16(q8sums.val[0]), vget_high_s16(q6scales.val[0]))), @@ -6658,30 +6399,12 @@ void ggml_vec_dot_q6_K_q8_K(const int n, float * restrict s, const void * restri q6bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[2], m4b), q6h.val[2])); q6bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[3], m4b), q6h.val[3])); -#if defined(__ARM_FEATURE_DOTPROD) - isum += vaddvq_s32(vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3]; - scale += 4; -#else - - int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q6bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q6bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - isum += vaddvq_s16(p0) * scale[0] + vaddvq_s16(p1) * scale[1]; - scale += 2; - - int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[2]), vget_low_s8 (q8bytes.val[2])), - vmull_s8(vget_high_s8(q6bytes.val[2]), vget_high_s8(q8bytes.val[2]))); - int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[3]), vget_low_s8 (q8bytes.val[3])), - vmull_s8(vget_high_s8(q6bytes.val[3]), vget_high_s8(q8bytes.val[3]))); - isum += vaddvq_s16(p2) * scale[0] + vaddvq_s16(p3) * scale[1]; - scale += 2; -#endif + scale += 4; q8bytes = ggml_vld1q_s8_x4(q8); q8 += 64; @@ -6703,34 +6426,11 @@ void ggml_vec_dot_q6_K_q8_K(const int n, float * restrict s, const void * restri q6bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[2], 4), q6h.val[2])); q6bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[3], 4), q6h.val[3])); -#if defined(__ARM_FEATURE_DOTPROD) - isum += vaddvq_s32(vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3]; scale += 4; - - //for (int l = 0; l < 4; ++l) { - // const int32x4_t p = vdotq_s32(vzero, q6bytes.val[l], q8bytes.val[l]); - // isum += vaddvq_s32(p) * *scale++; - //} -#else - p0 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q6bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - p1 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q6bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - isum += vaddvq_s16(p0) * scale[0] + vaddvq_s16(p1) * scale[1]; - scale += 2; - - p2 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[2]), vget_low_s8 (q8bytes.val[2])), - vmull_s8(vget_high_s8(q6bytes.val[2]), vget_high_s8(q8bytes.val[2]))); - p3 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[3]), vget_low_s8 (q8bytes.val[3])), - vmull_s8(vget_high_s8(q6bytes.val[3]), vget_high_s8(q8bytes.val[3]))); - isum += vaddvq_s16(p2) * scale[0] + vaddvq_s16(p3) * scale[1]; - scale += 2; -#endif - } //sum += isum * d_all * y[i].d; sum += d_all * y[i].d * (isum - 32 * isum_mins); @@ -7076,14 +6776,11 @@ void ggml_vec_dot_q6_K_q8_K(const int n, float * restrict s, const void * restri const int nb = n / QK_K; #ifdef __ARM_NEON - float sum = 0; const uint8x16_t m4b = vdupq_n_u8(0xF); const int8x16_t m32s = vdupq_n_s8(32); -#if defined(__ARM_FEATURE_DOTPROD) const int32x4_t vzero = vdupq_n_s32(0); -#endif const uint8x16_t mone = vdupq_n_u8(3); @@ -7119,26 +6816,10 @@ void ggml_vec_dot_q6_K_q8_K(const int n, float * restrict s, const void * restri q6bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[0], 4), q6h.val[2])), m32s); q6bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[1], 4), q6h.val[3])), m32s); -#if defined(__ARM_FEATURE_DOTPROD) - isum += vaddvq_s32(vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3]; -#else - - int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[0]), vget_low_s8 (q8bytes.val[0])), - vmull_s8(vget_high_s8(q6bytes.val[0]), vget_high_s8(q8bytes.val[0]))); - int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[1]), vget_low_s8 (q8bytes.val[1])), - vmull_s8(vget_high_s8(q6bytes.val[1]), vget_high_s8(q8bytes.val[1]))); - isum += vaddvq_s16(p0) * scale[0] + vaddvq_s16(p1) * scale[1]; - - int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[2]), vget_low_s8 (q8bytes.val[2])), - vmull_s8(vget_high_s8(q6bytes.val[2]), vget_high_s8(q8bytes.val[2]))); - int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[3]), vget_low_s8 (q8bytes.val[3])), - vmull_s8(vget_high_s8(q6bytes.val[3]), vget_high_s8(q8bytes.val[3]))); - isum += vaddvq_s16(p2) * scale[2] + vaddvq_s16(p3) * scale[3]; -#endif sum += isum * d_all * y[i].d; diff --git a/ggml.c b/ggml.c index 9612aa55402..a9e1ea9b40e 100644 --- a/ggml.c +++ b/ggml.c @@ -1,4 +1,4 @@ -#define _CRT_SECURE_NO_DEPRECATE // Disables ridiculous "unsafe" warnigns on Windows +#define _CRT_SECURE_NO_DEPRECATE // Disables ridiculous "unsafe" warnings on Windows #define _USE_MATH_DEFINES // For M_PI on MSVC #include "ggml-impl.h" @@ -33,7 +33,7 @@ // we should just be careful :) #pragma warning(disable: 4244 4267) -// disable POSIX deprecation warnigns +// disable POSIX deprecation warnings // these functions are never going away, anyway #pragma warning(disable: 4996) #endif @@ -233,24 +233,6 @@ inline static void * ggml_aligned_malloc(size_t size) { #define UNUSED GGML_UNUSED #define SWAP(x, y, T) do { T SWAP = x; x = y; y = SWAP; } while (0) -// -// tensor access macros -// - -#define GGML_TENSOR_UNARY_OP_LOCALS \ - GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne) \ - GGML_TENSOR_LOCALS(size_t, nb0, src0, nb) \ - GGML_TENSOR_LOCALS(int64_t, ne, dst, ne) \ - GGML_TENSOR_LOCALS(size_t, nb, dst, nb) - -#define GGML_TENSOR_BINARY_OP_LOCALS \ - GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne) \ - GGML_TENSOR_LOCALS(size_t, nb0, src0, nb) \ - GGML_TENSOR_LOCALS(int64_t, ne1, src1, ne) \ - GGML_TENSOR_LOCALS(size_t, nb1, src1, nb) \ - GGML_TENSOR_LOCALS(int64_t, ne, dst, ne) \ - GGML_TENSOR_LOCALS(size_t, nb, dst, nb) - #if defined(GGML_USE_ACCELERATE) #include #if defined(GGML_USE_CLBLAST) // allow usage of CLBlast alongside Accelerate functions @@ -1413,7 +1395,7 @@ inline static void ggml_vec_step_f32 (const int n, float * y, const float * x) { inline static void ggml_vec_tanh_f32 (const int n, float * y, const float * x) { for (int i = 0; i < n; ++i) y[i] = tanhf(x[i]); } inline static void ggml_vec_elu_f32 (const int n, float * y, const float * x) { for (int i = 0; i < n; ++i) y[i] = (x[i] > 0.f) ? x[i] : expf(x[i])-1; } inline static void ggml_vec_relu_f32 (const int n, float * y, const float * x) { for (int i = 0; i < n; ++i) y[i] = (x[i] > 0.f) ? x[i] : 0.f; } -inline static void ggml_vec_leaky_f32 (const int n, float * y, const float * x) { for (int i = 0; i < n; ++i) y[i] = (x[i] > 0.f) ? x[i] : 0.1f*x[i]; } +inline static void ggml_vec_leaky_relu_f32 (const int n, float * y, const float * x, const float ns) { for (int i = 0; i < n; ++i) y[i] = ((x[i] > 0.f) ? x[i] : 0.f) + ns * ((x[i] < 0.0f) ? x[i] : 0.f); } static const float GELU_COEF_A = 0.044715f; static const float GELU_QUICK_COEF = -1.702f; @@ -1613,6 +1595,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = { "GROUP_NORM", "MUL_MAT", + "MUL_MAT_ID", "OUT_PROD", "SCALE", @@ -1640,6 +1623,9 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = { "POOL_1D", "POOL_2D", "UPSCALE", + "PAD", + "ARGSORT", + "LEAKY_RELU", "FLASH_ATTN", "FLASH_FF", @@ -1666,7 +1652,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = { "CROSS_ENTROPY_LOSS_BACK", }; -static_assert(GGML_OP_COUNT == 68, "GGML_OP_COUNT != 68"); +static_assert(GGML_OP_COUNT == 72, "GGML_OP_COUNT != 72"); static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "none", @@ -1695,6 +1681,7 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "group_norm(x)", "X*Y", + "X[i]*Y", "X*Y", "x*v", @@ -1722,6 +1709,9 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "pool_1d(x)", "pool_2d(x)", "upscale(x)", + "pad(x)", + "argsort(x)", + "leaky_relu(x)", "flash_attn(x)", "flash_ff(x)", @@ -1748,15 +1738,32 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "cross_entropy_loss_back(x,y)", }; -static_assert(GGML_OP_COUNT == 68, "GGML_OP_COUNT != 68"); +static_assert(GGML_OP_COUNT == 72, "GGML_OP_COUNT != 72"); static_assert(GGML_OP_POOL_COUNT == 2, "GGML_OP_POOL_COUNT != 2"); + +static const char * GGML_UNARY_OP_NAME[GGML_UNARY_OP_COUNT] = { + "ABS", + "SGN", + "NEG", + "STEP", + "TANH", + "ELU", + "RELU", + "GELU", + "GELU_QUICK", + "SILU", +}; + +static_assert(GGML_UNARY_OP_COUNT == 10, "GGML_UNARY_OP_COUNT != 10"); + + static_assert(sizeof(struct ggml_object)%GGML_MEM_ALIGN == 0, "ggml_object size must be a multiple of GGML_MEM_ALIGN"); static_assert(sizeof(struct ggml_tensor)%GGML_MEM_ALIGN == 0, "ggml_tensor size must be a multiple of GGML_MEM_ALIGN"); // WARN: -// Mis-confguration can lead to problem that's hard to reason about: +// Mis-configuration can lead to problem that's hard to reason about: // * At best it crash or talks nosense. // * At worst it talks slightly difference but hard to perceive. // @@ -1771,6 +1778,7 @@ static void ggml_setup_op_has_task_pass(void) { p[GGML_OP_ACC ] = true; p[GGML_OP_MUL_MAT ] = true; + p[GGML_OP_MUL_MAT_ID ] = true; p[GGML_OP_OUT_PROD ] = true; p[GGML_OP_SET ] = true; p[GGML_OP_GET_ROWS_BACK ] = true; @@ -1989,12 +1997,6 @@ size_t ggml_nbytes_pad(const struct ggml_tensor * tensor) { return GGML_PAD(ggml_nbytes(tensor), GGML_MEM_ALIGN); } -size_t ggml_nbytes_split(const struct ggml_tensor * tensor, int nrows_split) { - static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function"); - - return (nrows_split*tensor->ne[0]*ggml_type_size(tensor->type))/ggml_blck_size(tensor->type); -} - int ggml_blck_size(enum ggml_type type) { return type_traits[type].blck_size; } @@ -2003,8 +2005,13 @@ size_t ggml_type_size(enum ggml_type type) { return type_traits[type].type_size; } -float ggml_type_sizef(enum ggml_type type) { - return ((float)(type_traits[type].type_size))/type_traits[type].blck_size; +size_t ggml_row_size(enum ggml_type type, int64_t ne) { + assert(ne % ggml_blck_size(type) == 0); + return ggml_type_size(type)*ne/ggml_blck_size(type); +} + +double ggml_type_sizef(enum ggml_type type) { + return ((double)(type_traits[type].type_size))/type_traits[type].blck_size; } const char * ggml_type_name(enum ggml_type type) { @@ -2023,28 +2030,55 @@ const char * ggml_op_symbol(enum ggml_op op) { return GGML_OP_SYMBOL[op]; } +const char * ggml_unary_op_name(enum ggml_unary_op op) { + return GGML_UNARY_OP_NAME[op]; +} + +const char * ggml_op_desc(const struct ggml_tensor * t) { + if (t->op == GGML_OP_UNARY) { + enum ggml_unary_op uop = ggml_get_unary_op(t); + return ggml_unary_op_name(uop); + } + else { + return ggml_op_name(t->op); + } +} + size_t ggml_element_size(const struct ggml_tensor * tensor) { return ggml_type_size(tensor->type); } -static inline bool ggml_is_scalar(const struct ggml_tensor * tensor) { +bool ggml_is_scalar(const struct ggml_tensor * tensor) { static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function"); return tensor->ne[0] == 1 && tensor->ne[1] == 1 && tensor->ne[2] == 1 && tensor->ne[3] == 1; } -static inline bool ggml_is_vector(const struct ggml_tensor * tensor) { +bool ggml_is_vector(const struct ggml_tensor * tensor) { static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function"); return tensor->ne[1] == 1 && tensor->ne[2] == 1 && tensor->ne[3] == 1; } -static inline bool ggml_is_matrix(const struct ggml_tensor * tensor) { +bool ggml_is_matrix(const struct ggml_tensor * tensor) { static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function"); return tensor->ne[2] == 1 && tensor->ne[3] == 1; } +bool ggml_is_3d(const struct ggml_tensor * tensor) { + return tensor->ne[3] == 1; +} + +int ggml_n_dims(const struct ggml_tensor * tensor) { + for (int i = GGML_MAX_DIMS - 1; i >= 1; --i) { + if (tensor->ne[i] > 1) { + return i + 1; + } + } + return 1; +} + static inline bool ggml_can_mul_mat(const struct ggml_tensor * t0, const struct ggml_tensor * t1) { static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function"); @@ -2349,20 +2383,8 @@ size_t ggml_get_mem_size(const struct ggml_context * ctx) { size_t ggml_get_max_tensor_size(const struct ggml_context * ctx) { size_t max_size = 0; - struct ggml_object * obj = ctx->objects_begin; - - while (obj != NULL) { - if (obj->type == GGML_OBJECT_TENSOR) { - struct ggml_tensor * tensor = (struct ggml_tensor *) ((char *) ctx->mem_buffer + obj->offs); - - const size_t size = ggml_nbytes(tensor); - - if (max_size < size) { - max_size = size; - } - } - - obj = obj->next; + for (struct ggml_tensor * tensor = ggml_get_first_tensor(ctx); tensor != NULL; tensor = ggml_get_next_tensor(ctx, tensor)) { + max_size = MAX(max_size, ggml_nbytes(tensor)); } return max_size; @@ -2451,7 +2473,7 @@ static struct ggml_tensor * ggml_new_tensor_impl( view_src = view_src->view_src; } - size_t data_size = ggml_type_size(type)*(ne[0]/ggml_blck_size(type)); + size_t data_size = ggml_row_size(type, ne[0]); for (int i = 1; i < n_dims; i++) { data_size *= ne[i]; } @@ -2494,7 +2516,6 @@ static struct ggml_tensor * ggml_new_tensor_impl( /*.type =*/ type, /*.backend =*/ GGML_BACKEND_CPU, /*.buffer =*/ NULL, - /*.n_dims =*/ n_dims, /*.ne =*/ { 1, 1, 1, 1 }, /*.nb =*/ { 0, 0, 0, 0 }, /*.op =*/ GGML_OP_NONE, @@ -2601,7 +2622,7 @@ struct ggml_tensor * ggml_new_f32(struct ggml_context * ctx, float value) { } struct ggml_tensor * ggml_dup_tensor(struct ggml_context * ctx, const struct ggml_tensor * src) { - return ggml_new_tensor(ctx, src->type, src->n_dims, src->ne); + return ggml_new_tensor(ctx, src->type, GGML_MAX_DIMS, src->ne); } static void ggml_set_op_params(struct ggml_tensor * tensor, const void * params, size_t params_size) { @@ -3050,7 +3071,7 @@ struct ggml_tensor * ggml_format_name(struct ggml_tensor * tensor, const char * struct ggml_tensor * ggml_view_tensor( struct ggml_context * ctx, struct ggml_tensor * src) { - struct ggml_tensor * result = ggml_new_tensor_impl(ctx, src->type, src->n_dims, src->ne, src, 0); + struct ggml_tensor * result = ggml_new_tensor_impl(ctx, src->type, GGML_MAX_DIMS, src->ne, src, 0); ggml_format_name(result, "%s (view)", src->name); for (int i = 0; i < GGML_MAX_DIMS; i++) { @@ -3060,7 +3081,7 @@ struct ggml_tensor * ggml_view_tensor( return result; } -struct ggml_tensor * ggml_get_first_tensor(struct ggml_context * ctx) { +struct ggml_tensor * ggml_get_first_tensor(const struct ggml_context * ctx) { struct ggml_object * obj = ctx->objects_begin; char * const mem_buffer = ctx->mem_buffer; @@ -3076,7 +3097,7 @@ struct ggml_tensor * ggml_get_first_tensor(struct ggml_context * ctx) { return NULL; } -struct ggml_tensor * ggml_get_next_tensor(struct ggml_context * ctx, struct ggml_tensor * tensor) { +struct ggml_tensor * ggml_get_next_tensor(const struct ggml_context * ctx, struct ggml_tensor * tensor) { struct ggml_object * obj = (struct ggml_object *) ((char *)tensor - GGML_OBJECT_SIZE); obj = obj->next; @@ -3154,9 +3175,7 @@ static struct ggml_tensor * ggml_add_impl( struct ggml_tensor * a, struct ggml_tensor * b, bool inplace) { - // TODO: support less-strict constraint - // GGML_ASSERT(ggml_can_repeat(b, a)); - GGML_ASSERT(ggml_can_repeat_rows(b, a)); + GGML_ASSERT(ggml_can_repeat(b, a)); bool is_node = false; @@ -3210,10 +3229,10 @@ static struct ggml_tensor * ggml_add_cast_impl( is_node = true; } - struct ggml_tensor * result = ggml_new_tensor(ctx, type, a->n_dims, a->ne); + struct ggml_tensor * result = ggml_new_tensor(ctx, type, GGML_MAX_DIMS, a->ne); result->op = GGML_OP_ADD; - result->grad = is_node ? ggml_new_tensor(ctx, GGML_TYPE_F32, a->n_dims, a->ne) : NULL; + result->grad = is_node ? ggml_new_tensor(ctx, GGML_TYPE_F32, GGML_MAX_DIMS, a->ne) : NULL; result->src[0] = a; result->src[1] = b; @@ -3371,9 +3390,7 @@ static struct ggml_tensor * ggml_mul_impl( struct ggml_tensor * a, struct ggml_tensor * b, bool inplace) { - // TODO: support less-strict constraint - // GGML_ASSERT(ggml_can_repeat(b, a)); - GGML_ASSERT(ggml_can_repeat_rows(b, a)); + GGML_ASSERT(ggml_can_repeat(b, a)); bool is_node = false; @@ -3418,7 +3435,7 @@ static struct ggml_tensor * ggml_div_impl( struct ggml_tensor * a, struct ggml_tensor * b, bool inplace) { - GGML_ASSERT(ggml_are_same_shape(a, b)); + GGML_ASSERT(ggml_can_repeat(b, a)); bool is_node = false; @@ -3584,12 +3601,12 @@ struct ggml_tensor * ggml_sum_rows( is_node = true; } - int64_t ne[4] = {1,1,1,1}; - for (int i=1; in_dims; ++i) { + int64_t ne[GGML_MAX_DIMS] = { 1 }; + for (int i = 1; i < GGML_MAX_DIMS; ++i) { ne[i] = a->ne[i]; } - struct ggml_tensor * result = ggml_new_tensor(ctx, a->type, a->n_dims, ne); + struct ggml_tensor * result = ggml_new_tensor(ctx, a->type, GGML_MAX_DIMS, ne); result->op = GGML_OP_SUM_ROWS; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -3610,8 +3627,8 @@ struct ggml_tensor * ggml_mean( is_node = true; } - int64_t ne[GGML_MAX_DIMS] = { 1, a->ne[1], a->ne[2], a->ne[3] }; - struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, a->n_dims, ne); + int64_t ne[4] = { 1, a->ne[1], a->ne[2], a->ne[3] }; + struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne); result->op = GGML_OP_MEAN; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -3633,8 +3650,7 @@ struct ggml_tensor * ggml_argmax( is_node = true; } - int64_t ne[GGML_MAX_DIMS] = { a->ne[1], 1, 1, 1 }; - struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_I32, a->n_dims, ne); + struct ggml_tensor * result = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, a->ne[1]); result->op = GGML_OP_ARGMAX; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -3657,7 +3673,7 @@ struct ggml_tensor * ggml_repeat( is_node = true; } - struct ggml_tensor * result = ggml_new_tensor(ctx, a->type, b->n_dims, b->ne); + struct ggml_tensor * result = ggml_new_tensor(ctx, a->type, GGML_MAX_DIMS, b->ne); result->op = GGML_OP_REPEAT; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -3684,7 +3700,7 @@ struct ggml_tensor * ggml_repeat_back( return a; } - struct ggml_tensor * result = ggml_new_tensor(ctx, a->type, b->n_dims, b->ne); + struct ggml_tensor * result = ggml_new_tensor(ctx, a->type, GGML_MAX_DIMS, b->ne); result->op = GGML_OP_REPEAT_BACK; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -3815,12 +3831,25 @@ struct ggml_tensor * ggml_relu_inplace( return ggml_unary_inplace(ctx, a, GGML_UNARY_OP_RELU); } -// ggml_leaky +// ggml_leaky_relu -struct ggml_tensor * ggml_leaky( +struct ggml_tensor * ggml_leaky_relu( struct ggml_context * ctx, - struct ggml_tensor * a) { - return ggml_unary(ctx, a, GGML_UNARY_OP_LEAKY); + struct ggml_tensor * a, float negative_slope, bool inplace) { + bool is_node = false; + + if (!inplace && (a->grad)) { + is_node = true; + } + + struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a); + ggml_set_op_params(result, &negative_slope, sizeof(negative_slope)); + + result->op = GGML_OP_LEAKY_RELU; + result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; + result->src[0] = a; + + return result; } // ggml_gelu @@ -4007,11 +4036,11 @@ static struct ggml_tensor * ggml_group_norm_impl( struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a); - result->op = GGML_OP_GROUP_NORM; result->op_params[0] = n_groups; + + result->op = GGML_OP_GROUP_NORM; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; result->src[0] = a; - result->src[1] = NULL; // TODO: maybe store epsilon here? return result; } @@ -4046,7 +4075,7 @@ struct ggml_tensor * ggml_mul_mat( } const int64_t ne[4] = { a->ne[1], b->ne[1], b->ne[2], b->ne[3] }; - struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, MAX(a->n_dims, b->n_dims), ne); + struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne); result->op = GGML_OP_MUL_MAT; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -4056,6 +4085,59 @@ struct ggml_tensor * ggml_mul_mat( return result; } +void ggml_mul_mat_set_prec( + struct ggml_tensor * a, + enum ggml_prec prec) { + const int32_t prec_i32 = (int32_t) prec; + + ggml_set_op_params_i32(a, 0, prec_i32); +} + +// ggml_mul_mat_id + +struct ggml_tensor * ggml_mul_mat_id( + struct ggml_context * ctx, + struct ggml_tensor * const as[], + int n_as, + struct ggml_tensor * ids, + int id, + struct ggml_tensor * b) { + + GGML_ASSERT(ids->type == GGML_TYPE_I32); + GGML_ASSERT(ids->ne[2] == 1 && ids->ne[3] == 1); + GGML_ASSERT(ids->ne[1] == b->ne[1]); + GGML_ASSERT(ids->ne[2] == b->ne[2] && ids->ne[3] == b->ne[3]); + GGML_ASSERT(n_as > 0 && n_as <= GGML_MAX_SRC - 2); + GGML_ASSERT(id >= 0 && id < ids->ne[0]); + + bool is_node = false; + + if (as[0]->grad || b->grad) { + is_node = true; + } + + const int64_t ne[4] = { as[0]->ne[1], b->ne[1], b->ne[2], b->ne[3] }; + struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne); + + ggml_set_op_params_i32(result, 0, id); + ggml_set_op_params_i32(result, 1, n_as); + + result->op = GGML_OP_MUL_MAT_ID; + result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; + result->src[0] = ids; + result->src[1] = b; + + for (int i = 0; i < n_as; i++) { + struct ggml_tensor * a = as[i]; + GGML_ASSERT(ggml_are_same_shape(as[0], a)); + GGML_ASSERT(ggml_can_mul_mat(a, b)); + GGML_ASSERT(!ggml_is_transposed(a)); + result->src[i + 2] = a; + } + + return result; +} + // ggml_out_prod struct ggml_tensor * ggml_out_prod( @@ -4073,7 +4155,7 @@ struct ggml_tensor * ggml_out_prod( // a is broadcastable to b for ne[2] and ne[3] -> use b->ne[2] and b->ne[3] const int64_t ne[4] = { a->ne[0], b->ne[0], b->ne[2], b->ne[3] }; - struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, MAX(a->n_dims, b->n_dims), ne); + struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne); result->op = GGML_OP_OUT_PROD; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -4088,23 +4170,23 @@ struct ggml_tensor * ggml_out_prod( static struct ggml_tensor * ggml_scale_impl( struct ggml_context * ctx, struct ggml_tensor * a, - struct ggml_tensor * b, + float s, bool inplace) { - GGML_ASSERT(ggml_is_scalar(b)); GGML_ASSERT(ggml_is_padded_1d(a)); bool is_node = false; - if (a->grad || b->grad) { + if (a->grad) { is_node = true; } struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a); + ggml_set_op_params(result, &s, sizeof(s)); + result->op = GGML_OP_SCALE; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; result->src[0] = a; - result->src[1] = b; return result; } @@ -4112,15 +4194,15 @@ static struct ggml_tensor * ggml_scale_impl( struct ggml_tensor * ggml_scale( struct ggml_context * ctx, struct ggml_tensor * a, - struct ggml_tensor * b) { - return ggml_scale_impl(ctx, a, b, false); + float s) { + return ggml_scale_impl(ctx, a, s, false); } struct ggml_tensor * ggml_scale_inplace( struct ggml_context * ctx, struct ggml_tensor * a, - struct ggml_tensor * b) { - return ggml_scale_impl(ctx, a, b, true); + float s) { + return ggml_scale_impl(ctx, a, s, true); } // ggml_set @@ -4209,7 +4291,7 @@ struct ggml_tensor * ggml_set_2d_inplace( struct ggml_tensor * b, size_t nb1, size_t offset) { - return ggml_set_impl(ctx, a, b, nb1, a->nb[2], a->nb[3], offset, false); + return ggml_set_impl(ctx, a, b, nb1, a->nb[2], a->nb[3], offset, true); } // ggml_cpy @@ -4358,7 +4440,7 @@ struct ggml_tensor * ggml_reshape( //GGML_ASSERT(false); } - struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, b->n_dims, b->ne, a, 0); + struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, GGML_MAX_DIMS, b->ne, a, 0); ggml_format_name(result, "%s (reshaped)", a->name); result->op = GGML_OP_RESHAPE; @@ -4673,7 +4755,9 @@ struct ggml_tensor * ggml_get_rows( struct ggml_context * ctx, struct ggml_tensor * a, struct ggml_tensor * b) { - GGML_ASSERT(ggml_is_matrix(a) && ggml_is_vector(b) && b->type == GGML_TYPE_I32); + GGML_ASSERT(a->ne[2] == b->ne[1]); + GGML_ASSERT(b->ne[3] == 1); + GGML_ASSERT(b->type == GGML_TYPE_I32); bool is_node = false; @@ -4683,7 +4767,7 @@ struct ggml_tensor * ggml_get_rows( // TODO: implement non F32 return //struct ggml_tensor * result = ggml_new_tensor_2d(ctx, a->type, a->ne[0], b->ne[0]); - struct ggml_tensor * result = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, a->ne[0], b->ne[0]); + struct ggml_tensor * result = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, a->ne[0], b->ne[0], b->ne[1], b->ne[2]); result->op = GGML_OP_GET_ROWS; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -4734,7 +4818,7 @@ struct ggml_tensor * ggml_diag( } const int64_t ne[4] = { a->ne[0], a->ne[0], a->ne[2], a->ne[3] }; - struct ggml_tensor * result = ggml_new_tensor(ctx, a->type, MAX(a->n_dims, 2), ne); + struct ggml_tensor * result = ggml_new_tensor(ctx, a->type, 4, ne); result->op = GGML_OP_DIAG; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -4826,7 +4910,17 @@ struct ggml_tensor * ggml_diag_mask_zero_inplace( static struct ggml_tensor * ggml_soft_max_impl( struct ggml_context * ctx, struct ggml_tensor * a, + struct ggml_tensor * mask, + float scale, bool inplace) { + GGML_ASSERT(ggml_is_contiguous(a)); + if (mask) { + GGML_ASSERT(ggml_is_contiguous(mask)); + GGML_ASSERT(mask->ne[2] == 1); + GGML_ASSERT(mask->ne[3] == 1); + GGML_ASSERT(ggml_can_repeat_rows(mask, a)); + } + bool is_node = false; if (a->grad) { @@ -4835,9 +4929,13 @@ static struct ggml_tensor * ggml_soft_max_impl( struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a); + float params[] = { scale }; + ggml_set_op_params(result, params, sizeof(params)); + result->op = GGML_OP_SOFT_MAX; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; result->src[0] = a; + result->src[1] = mask; return result; } @@ -4845,13 +4943,21 @@ static struct ggml_tensor * ggml_soft_max_impl( struct ggml_tensor * ggml_soft_max( struct ggml_context * ctx, struct ggml_tensor * a) { - return ggml_soft_max_impl(ctx, a, false); + return ggml_soft_max_impl(ctx, a, NULL, 1.0f, false); } struct ggml_tensor * ggml_soft_max_inplace( struct ggml_context * ctx, struct ggml_tensor * a) { - return ggml_soft_max_impl(ctx, a, true); + return ggml_soft_max_impl(ctx, a, NULL, 1.0f, true); +} + +struct ggml_tensor * ggml_soft_max_ext( + struct ggml_context * ctx, + struct ggml_tensor * a, + struct ggml_tensor * mask, + float scale) { + return ggml_soft_max_impl(ctx, a, mask, scale, false); } // ggml_soft_max_back @@ -5359,7 +5465,7 @@ struct ggml_tensor * ggml_pool_1d( is_node = true; } - const int64_t ne[3] = { + const int64_t ne[2] = { ggml_calc_pool_output_size(a->ne[0], k0, s0, p0), a->ne[1], }; @@ -5434,7 +5540,30 @@ static struct ggml_tensor * ggml_upscale_impl( result->op_params[0] = scale_factor; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; result->src[0] = a; - result->src[1] = NULL; + + return result; +} + +struct ggml_tensor * ggml_pad( + struct ggml_context * ctx, + struct ggml_tensor * a, + int p0, int p1, int p2, int p3) { + bool is_node = false; + + if (a->grad) { + GGML_ASSERT(false); // TODO: implement backward + is_node = true; + } + + struct ggml_tensor * result = ggml_new_tensor_4d(ctx, a->type, + a->ne[0] + p0, + a->ne[1] + p1, + a->ne[2] + p2, + a->ne[3] + p3); + + result->op = GGML_OP_PAD; + result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; + result->src[0] = a; return result; } @@ -5446,6 +5575,43 @@ struct ggml_tensor * ggml_upscale( return ggml_upscale_impl(ctx, a, scale_factor); } +// ggml_argsort + +struct ggml_tensor * ggml_argsort( + struct ggml_context * ctx, + struct ggml_tensor * a, + enum ggml_sort_order order) { + bool is_node = false; + + struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_I32, GGML_MAX_DIMS, a->ne); + + ggml_set_op_params_i32(result, 0, (int32_t) order); + + result->op = GGML_OP_ARGSORT; + result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; + result->src[0] = a; + + return result; +} + +// ggml_top_k + +struct ggml_tensor * ggml_top_k( + struct ggml_context * ctx, + struct ggml_tensor * a, + int k) { + GGML_ASSERT(a->ne[0] >= k); + + struct ggml_tensor * result = ggml_argsort(ctx, a, GGML_SORT_DESC); + + result = ggml_view_4d(ctx, result, + k, result->ne[1], result->ne[2], result->ne[3], + result->nb[1], result->nb[2], result->nb[3], + 0); + + return result; +} + // ggml_flash_attn struct ggml_tensor * ggml_flash_attn( @@ -5464,7 +5630,7 @@ struct ggml_tensor * ggml_flash_attn( } //struct ggml_tensor * result = ggml_dup_tensor(ctx, q); - struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, q->n_dims, q->ne); + struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, GGML_MAX_DIMS, q->ne); int32_t t = masked ? 1 : 0; ggml_set_op_params(result, &t, sizeof(t)); @@ -5497,7 +5663,7 @@ struct ggml_tensor * ggml_flash_ff( } //struct ggml_tensor * result = ggml_dup_tensor(ctx, a); - struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, a->n_dims, a->ne); + struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, GGML_MAX_DIMS, a->ne); result->op = GGML_OP_FLASH_FF; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -5613,7 +5779,6 @@ struct ggml_tensor * ggml_win_part( const int np = npx*npy; const int64_t ne[4] = { a->ne[0], w, w, np, }; - struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne); int32_t params[] = { npx, npy, w }; @@ -5679,7 +5844,6 @@ struct ggml_tensor * ggml_get_rel_pos( result->op = GGML_OP_GET_REL_POS; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; result->src[0] = a; - result->src[1] = NULL; return result; } @@ -6805,7 +6969,7 @@ static void ggml_compute_forward_add_f32( const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { - GGML_ASSERT(ggml_can_repeat_rows(src1, src0) && ggml_are_same_shape(src0, dst)); + GGML_ASSERT(ggml_can_repeat(src1, src0) && ggml_are_same_shape(src0, dst)); if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { return; @@ -6838,16 +7002,19 @@ static void ggml_compute_forward_add_f32( const int64_t i13 = i03 % ne13; const int64_t i12 = i02 % ne12; const int64_t i11 = i01 % ne11; + const int64_t nr0 = ne00 / ne10; float * dst_ptr = (float *) ((char *) dst->data + i03*nb3 + i02*nb2 + i01*nb1 ); float * src0_ptr = (float *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01); float * src1_ptr = (float *) ((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11); + for (int64_t r = 0; r < nr0; ++r) { #ifdef GGML_USE_ACCELERATE - vDSP_vadd(src0_ptr, 1, src1_ptr, 1, dst_ptr, 1, ne00); + vDSP_vadd(src0_ptr + r*ne10, 1, src1_ptr, 1, dst_ptr + r*ne10, 1, ne10); #else - ggml_vec_add_f32(ne00, dst_ptr, src0_ptr, src1_ptr); + ggml_vec_add_f32(ne10, dst_ptr + r*ne10, src0_ptr + r*ne10, src1_ptr); #endif + } } } else { // src1 is not contiguous @@ -6864,8 +7031,9 @@ static void ggml_compute_forward_add_f32( float * dst_ptr = (float *) ((char *) dst->data + i03*nb3 + i02*nb2 + i01*nb1 ); float * src0_ptr = (float *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01); - for (int i0 = 0; i0 < ne0; i0++) { - float * src1_ptr = (float *) ((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11 + i0*nb10); + for (int64_t i0 = 0; i0 < ne0; ++i0) { + const int64_t i10 = i0 % ne10; + float * src1_ptr = (float *) ((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11 + i10*nb10); dst_ptr[i0] = src0_ptr[i0] + *src1_ptr; } @@ -7399,7 +7567,7 @@ static void ggml_compute_forward_acc_f32( GGML_ASSERT(ggml_is_contiguous(dst) && ggml_is_contiguous(src0)); // view src0 and dst with these strides and data offset inbytes during acc - // nb0 is implicitely element_size because src0 and dst are contiguous + // nb0 is implicitly element_size because src0 and dst are contiguous size_t nb1 = ((int32_t *) dst->op_params)[0]; size_t nb2 = ((int32_t *) dst->op_params)[1]; size_t nb3 = ((int32_t *) dst->op_params)[2]; @@ -7585,7 +7753,7 @@ static void ggml_compute_forward_mul_f32( const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { - GGML_ASSERT(ggml_can_repeat_rows(src1, src0) && ggml_are_same_shape(src0, dst)); + GGML_ASSERT(ggml_can_repeat(src1, src0) && ggml_are_same_shape(src0, dst)); if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { return; @@ -7595,6 +7763,8 @@ static void ggml_compute_forward_mul_f32( #ifdef GGML_USE_CLBLAST if (src1->backend == GGML_BACKEND_GPU) { + // TODO: OpenCL kernel support full broadcast + GGML_ASSERT(ggml_can_repeat_rows(src1, src0)); if (ith == 0) { ggml_cl_mul(src0, src1, dst); } @@ -7608,7 +7778,6 @@ static void ggml_compute_forward_mul_f32( GGML_ASSERT( nb0 == sizeof(float)); GGML_ASSERT(nb00 == sizeof(float)); - GGML_ASSERT(ne00 == ne10); if (nb10 == sizeof(float)) { for (int64_t ir = ith; ir < nr; ir += nth) { @@ -7620,20 +7789,21 @@ static void ggml_compute_forward_mul_f32( const int64_t i13 = i03 % ne13; const int64_t i12 = i02 % ne12; const int64_t i11 = i01 % ne11; + const int64_t nr0 = ne00 / ne10; float * dst_ptr = (float *) ((char *) dst->data + i03*nb3 + i02*nb2 + i01*nb1 ); float * src0_ptr = (float *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01); float * src1_ptr = (float *) ((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11); + for (int64_t r = 0 ; r < nr0; ++r) { #ifdef GGML_USE_ACCELERATE - UNUSED(ggml_vec_mul_f32); + UNUSED(ggml_vec_mul_f32); - vDSP_vmul( src0_ptr, 1, src1_ptr, 1, dst_ptr, 1, ne00); + vDSP_vmul(src0_ptr + r*ne10, 1, src1_ptr, 1, dst_ptr + r*ne10, 1, ne10); #else - ggml_vec_mul_f32(ne00, dst_ptr, src0_ptr, src1_ptr); + ggml_vec_mul_f32(ne10, dst_ptr + r*ne10, src0_ptr + r*ne10, src1_ptr); #endif - // } - // } + } } } else { // src1 is not contiguous @@ -7651,8 +7821,9 @@ static void ggml_compute_forward_mul_f32( float * dst_ptr = (float *) ((char *) dst->data + i03*nb3 + i02*nb2 + i01*nb1 ); float * src0_ptr = (float *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01); - for (int64_t i0 = 0; i0 < ne00; i0++) { - float * src1_ptr = (float *) ((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11 + i0*nb10); + for (int64_t i0 = 0; i0 < ne00; ++i0) { + const int64_t i10 = i0 % ne10; + float * src1_ptr = (float *) ((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11 + i10*nb10); dst_ptr[i0] = src0_ptr[i0] * (*src1_ptr); } @@ -7686,14 +7857,16 @@ static void ggml_compute_forward_div_f32( const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { - assert(params->ith == 0); - assert(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst)); + GGML_ASSERT(ggml_can_repeat(src1, src0) && ggml_are_same_shape(src0, dst)); if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { return; } - const int nr = ggml_nrows(src0); + const int ith = params->ith; + const int nth = params->nth; + + const int64_t nr = ggml_nrows(src0); GGML_TENSOR_BINARY_OP_LOCALS @@ -7701,41 +7874,50 @@ static void ggml_compute_forward_div_f32( GGML_ASSERT(nb00 == sizeof(float)); if (nb10 == sizeof(float)) { - for (int ir = 0; ir < nr; ++ir) { - // src0, src1 and dst are same shape => same indices - const int i3 = ir/(ne2*ne1); - const int i2 = (ir - i3*ne2*ne1)/ne1; - const int i1 = (ir - i3*ne2*ne1 - i2*ne1); + for (int64_t ir = ith; ir < nr; ir += nth) { + // src0 and dst are same shape => same indices + const int64_t i03 = ir/(ne02*ne01); + const int64_t i02 = (ir - i03*ne02*ne01)/ne01; + const int64_t i01 = (ir - i03*ne02*ne01 - i02*ne01); + + const int64_t i13 = i03 % ne13; + const int64_t i12 = i02 % ne12; + const int64_t i11 = i01 % ne11; + const int64_t nr0 = ne00 / ne10; + + float * dst_ptr = (float *) ((char *) dst->data + i03*nb3 + i02*nb2 + i01*nb1 ); + float * src0_ptr = (float *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01); + float * src1_ptr = (float *) ((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11); + for (int64_t r = 0; r < nr0; ++r) { #ifdef GGML_USE_ACCELERATE - UNUSED(ggml_vec_div_f32); + UNUSED(ggml_vec_div_f32); - vDSP_vdiv( - (float *) ((char *) src1->data + i3*nb13 + i2*nb12 + i1*nb11), 1, - (float *) ((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01), 1, - (float *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*nb1 ), 1, - ne0); + vDSP_vdiv(src1_ptr, 1, src0_ptr + r*ne10, 1, dst_ptr + r*ne10, 1, ne10); #else - ggml_vec_div_f32(ne0, - (float *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*nb1 ), - (float *) ((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01), - (float *) ((char *) src1->data + i3*nb13 + i2*nb12 + i1*nb11)); + ggml_vec_div_f32(ne10, dst_ptr + r*ne10, src0_ptr + r*ne10, src1_ptr); #endif - // } - // } + } } } else { // src1 is not contiguous - for (int ir = 0; ir < nr; ++ir) { - // src0, src1 and dst are same shape => same indices - const int i3 = ir/(ne2*ne1); - const int i2 = (ir - i3*ne2*ne1)/ne1; - const int i1 = (ir - i3*ne2*ne1 - i2*ne1); + for (int64_t ir = ith; ir < nr; ir += nth) { + // src0 and dst are same shape => same indices + // src1 is broadcastable across src0 and dst in i1, i2, i3 + const int64_t i03 = ir/(ne02*ne01); + const int64_t i02 = (ir - i03*ne02*ne01)/ne01; + const int64_t i01 = (ir - i03*ne02*ne01 - i02*ne01); - float * dst_ptr = (float *) ((char *) dst->data + i3*nb3 + i2*nb2 + i1*nb1 ); - float * src0_ptr = (float *) ((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01); - for (int i0 = 0; i0 < ne0; i0++) { - float * src1_ptr = (float *) ((char *) src1->data + i3*nb13 + i2*nb12 + i1*nb11 + i0*nb10); + const int64_t i13 = i03 % ne13; + const int64_t i12 = i02 % ne12; + const int64_t i11 = i01 % ne11; + + float * dst_ptr = (float *) ((char *) dst->data + i03*nb3 + i02*nb2 + i01*nb1 ); + float * src0_ptr = (float *) ((char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01); + + for (int64_t i0 = 0; i0 < ne00; ++i0) { + const int64_t i10 = i0 % ne10; + float * src1_ptr = (float *) ((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11 + i10*nb10); dst_ptr[i0] = src0_ptr[i0] / (*src1_ptr); } @@ -8181,7 +8363,7 @@ static void ggml_compute_forward_repeat_f16( return; } - GGML_TENSOR_UNARY_OP_LOCALS; + GGML_TENSOR_UNARY_OP_LOCALS // guaranteed to be an integer due to the check in ggml_can_repeat const int nr0 = (int)(ne0/ne00); @@ -8326,6 +8508,7 @@ static void ggml_compute_forward_concat_f32( GGML_ASSERT(src0->nb[0] == sizeof(float)); const int ith = params->ith; + const int nth = params->nth; GGML_TENSOR_BINARY_OP_LOCALS @@ -8335,7 +8518,7 @@ static void ggml_compute_forward_concat_f32( GGML_ASSERT(nb10 == sizeof(float)); for (int i3 = 0; i3 < ne3; i3++) { - for (int i2 = ith; i2 < ne2; i2++) { + for (int i2 = ith; i2 < ne2; i2 += nth) { if (i2 < ne02) { // src0 for (int i1 = 0; i1 < ne1; i1++) { for (int i0 = 0; i0 < ne0; i0++) { @@ -8847,10 +9030,9 @@ static void ggml_compute_forward_silu( } break; } } +// ggml_compute_forward_leaky_relu -// ggml_compute_forward_leaky - -static void ggml_compute_forward_leaky_f32( +static void ggml_compute_forward_leaky_relu_f32( const struct ggml_compute_params * params, const struct ggml_tensor * src0, struct ggml_tensor * dst) { @@ -8864,24 +9046,27 @@ static void ggml_compute_forward_leaky_f32( const int n = ggml_nrows(src0); const int nc = src0->ne[0]; + float negative_slope; + memcpy(&negative_slope, dst->op_params, sizeof(float)); + assert(dst->nb[0] == sizeof(float)); assert(src0->nb[0] == sizeof(float)); for (int i = 0; i < n; i++) { - ggml_vec_leaky_f32(nc, + ggml_vec_leaky_relu_f32(nc, (float *) ((char *) dst->data + i*( dst->nb[1])), - (float *) ((char *) src0->data + i*(src0->nb[1]))); + (float *) ((char *) src0->data + i*(src0->nb[1])), negative_slope); } } -static void ggml_compute_forward_leaky( +static void ggml_compute_forward_leaky_relu( const struct ggml_compute_params * params, const struct ggml_tensor * src0, struct ggml_tensor * dst) { switch (src0->type) { case GGML_TYPE_F32: { - ggml_compute_forward_leaky_f32(params, src0, dst); + ggml_compute_forward_leaky_relu_f32(params, src0, dst); } break; default: { @@ -8976,6 +9161,8 @@ static void ggml_compute_forward_norm_f32( float eps; memcpy(&eps, dst->op_params, sizeof(float)); + GGML_ASSERT(eps > 0.0f); + // TODO: optimize for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { @@ -9045,6 +9232,8 @@ static void ggml_compute_forward_rms_norm_f32( float eps; memcpy(&eps, dst->op_params, sizeof(float)); + GGML_ASSERT(eps > 0.0f); + // TODO: optimize for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { @@ -9370,8 +9559,11 @@ static bool ggml_compute_forward_mul_mat_use_blas( const int64_t ne0 = dst->ne[0]; const int64_t ne1 = dst->ne[1]; + // NOTE: with GGML_OP_MUL_MAT_ID we don't want to go through the BLAS branch because it will dequantize (to_float) + // all the experts for each batch element and the processing would become incredibly slow // TODO: find the optimal values for these - if (ggml_is_contiguous(src0) && + if (dst->op != GGML_OP_MUL_MAT_ID && + ggml_is_contiguous(src0) && ggml_is_contiguous(src1) && //src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && @@ -9459,8 +9651,7 @@ static void ggml_compute_forward_mul_mat( const void * x = (char *) src0->data + i02*nb02 + i03*nb03; const float * y = (float *) ((char *) src1->data + i12*nb12 + i13*nb13); - - float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); + float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); if (type != GGML_TYPE_F32) { float * const wdata = params->wdata; @@ -9477,10 +9668,10 @@ static void ggml_compute_forward_mul_mat( } cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans, - ne11, ne01, ne10, - 1.0f, y, ne10, - x, ne00, - 0.0f, d, ne01); + ne1, ne01, ne10, + 1.0f, y, ne10, + x, ne00, + 0.0f, d, ne01); } } @@ -9493,7 +9684,10 @@ static void ggml_compute_forward_mul_mat( if (params->type == GGML_TASK_INIT) { if (src1->type != vec_dot_type) { char * wdata = params->wdata; - const size_t row_size = ne10*ggml_type_size(vec_dot_type)/ggml_blck_size(vec_dot_type); + const size_t row_size = ggml_row_size(vec_dot_type, ne10); + + assert(params->wsize >= ne11*ne12*ne13*row_size); + GGML_ASSERT(src1->type == GGML_TYPE_F32); for (int64_t i13 = 0; i13 < ne13; ++i13) { for (int64_t i12 = 0; i12 < ne12; ++i12) { @@ -9513,10 +9707,10 @@ static void ggml_compute_forward_mul_mat( } const void * wdata = (src1->type == vec_dot_type) ? src1->data : params->wdata; - const size_t row_size = ne10*ggml_type_size(vec_dot_type)/ggml_blck_size(vec_dot_type); + const size_t row_size = ggml_row_size(vec_dot_type, ne10); - const int64_t nr0 = ne01; // src0 rows - const int64_t nr1 = ne11*ne12*ne13; // src1 rows + const int64_t nr0 = ne01; // src0 rows + const int64_t nr1 = ne1*ne12*ne13; // src1 rows //printf("nr0 = %lld, nr1 = %lld\n", nr0, nr1); @@ -9558,9 +9752,9 @@ static void ggml_compute_forward_mul_mat( for (int64_t iir1 = ir110; iir1 < ir111; iir1 += blck_1) { for (int64_t iir0 = ir010; iir0 < ir011; iir0 += blck_0) { for (int64_t ir1 = iir1; ir1 < iir1 + blck_1 && ir1 < ir111; ++ir1) { - const int64_t i13 = (ir1/(ne12*ne11)); - const int64_t i12 = (ir1 - i13*ne12*ne11)/ne11; - const int64_t i11 = (ir1 - i13*ne12*ne11 - i12*ne11); + const int64_t i13 = (ir1/(ne12*ne1)); + const int64_t i12 = (ir1 - i13*ne12*ne1)/ne1; + const int64_t i11 = (ir1 - i13*ne12*ne1 - i12*ne1); // broadcast src0 into src1 const int64_t i03 = i13/r3; @@ -9596,47 +9790,247 @@ static void ggml_compute_forward_mul_mat( } } -// ggml_compute_forward_out_prod +// ggml_compute_forward_mul_mat_id -static void ggml_compute_forward_out_prod_f32( +static void ggml_compute_forward_mul_mat_id( const struct ggml_compute_params * params, - const struct ggml_tensor * src0, + const struct ggml_tensor * ids, const struct ggml_tensor * src1, struct ggml_tensor * dst) { - // int64_t t0 = ggml_perf_time_us(); - // UNUSED(t0); + + const struct ggml_tensor * src0 = dst->src[2]; // only for GGML_TENSOR_BINARY_OP_LOCALS GGML_TENSOR_BINARY_OP_LOCALS const int ith = params->ith; const int nth = params->nth; - GGML_ASSERT(ne02 == ne12); - GGML_ASSERT(ne03 == ne13); - GGML_ASSERT(ne2 == ne12); - GGML_ASSERT(ne3 == ne13); + const enum ggml_type type = src0->type; + + const bool src1_cont = ggml_is_contiguous(src1); + + ggml_vec_dot_t const vec_dot = type_traits[type].vec_dot; + enum ggml_type const vec_dot_type = type_traits[type].vec_dot_type; + ggml_from_float_t const from_float_to_vec_dot = type_traits[vec_dot_type].from_float; + + GGML_ASSERT(ne0 == ne01); + GGML_ASSERT(ne1 == ne11); + GGML_ASSERT(ne2 == ne12); + GGML_ASSERT(ne3 == ne13); // we don't support permuted src0 or src1 - GGML_ASSERT(nb00 == sizeof(float)); + GGML_ASSERT(nb00 == ggml_type_size(type)); + GGML_ASSERT(nb10 == ggml_type_size(src1->type)); // dst cannot be transposed or permuted GGML_ASSERT(nb0 == sizeof(float)); - // GGML_ASSERT(nb0 <= nb1); - // GGML_ASSERT(nb1 <= nb2); - // GGML_ASSERT(nb2 <= nb3); + GGML_ASSERT(nb0 <= nb1); + GGML_ASSERT(nb1 <= nb2); + GGML_ASSERT(nb2 <= nb3); - GGML_ASSERT(ne0 == ne00); - GGML_ASSERT(ne1 == ne10); - GGML_ASSERT(ne2 == ne02); - GGML_ASSERT(ne3 == ne03); + // broadcast factors + const int64_t r2 = ne12/ne02; + const int64_t r3 = ne13/ne03; + + // row groups + const int id = ggml_get_op_params_i32(dst, 0); + const int n_as = ggml_get_op_params_i32(dst, 1); + + char * wdata_src1_end = (src1->type == vec_dot_type) ? + (char *) params->wdata : + (char *) params->wdata + GGML_PAD(ggml_row_size(vec_dot_type, ggml_nelements(src1)), sizeof(int64_t)); + + int64_t * matrix_row_counts = (int64_t *) (wdata_src1_end); // [n_as] + int64_t * matrix_rows = matrix_row_counts + n_as; // [n_as][ne11] + + #define MMID_MATRIX_ROW(row_id, i1) matrix_rows[(row_id)*ne11 + (i1)] + + if (params->type == GGML_TASK_INIT) { + char * wdata = params->wdata; + if (src1->type != vec_dot_type) { + const size_t row_size = ggml_row_size(vec_dot_type, ne10); + + assert(params->wsize >= ne11*ne12*ne13*row_size); + assert(src1->type == GGML_TYPE_F32); + + for (int64_t i13 = 0; i13 < ne13; ++i13) { + for (int64_t i12 = 0; i12 < ne12; ++i12) { + for (int64_t i11 = 0; i11 < ne11; ++i11) { + from_float_to_vec_dot((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11), (void *) wdata, ne10); + wdata += row_size; + } + } + } + } + + // initialize matrix_row_counts + GGML_ASSERT(wdata == wdata_src1_end); + memset(matrix_row_counts, 0, n_as*sizeof(int64_t)); + + // group rows by src0 matrix + for (int64_t i01 = 0; i01 < ids->ne[1]; i01++) { + const int32_t row_id = *(const int32_t *) ((const char *) ids->data + i01*ids->nb[1] + id*ids->nb[0]); + + GGML_ASSERT(row_id >= 0 && row_id < n_as); + MMID_MATRIX_ROW(row_id, matrix_row_counts[row_id]) = i01; + matrix_row_counts[row_id] += 1; + } + + return; + } + + if (params->type == GGML_TASK_FINALIZE) { + return; + } + + // compute each matrix multiplication in sequence + for (int cur_a = 0; cur_a < n_as; ++cur_a) { + const int64_t cne1 = matrix_row_counts[cur_a]; + + if (cne1 == 0) { + continue; + } + + const struct ggml_tensor * src0_cur = dst->src[cur_a + 2]; + + const void * wdata = (src1->type == vec_dot_type) ? src1->data : params->wdata; + const size_t row_size = ggml_row_size(vec_dot_type, ne10); + + const int64_t nr0 = ne01; // src0 rows + const int64_t nr1 = cne1*ne12*ne13; // src1 rows + + //printf("nr0 = %lld, nr1 = %lld\n", nr0, nr1); + + // distribute the thread work across the inner or outer loop based on which one is larger + + const int64_t nth0 = nr0 > nr1 ? nth : 1; // parallelize by src0 rows + const int64_t nth1 = nr0 > nr1 ? 1 : nth; // parallelize by src1 rows + + const int64_t ith0 = ith % nth0; + const int64_t ith1 = ith / nth0; + + const int64_t dr0 = (nr0 + nth0 - 1)/nth0; + const int64_t dr1 = (nr1 + nth1 - 1)/nth1; + + const int64_t ir010 = dr0*ith0; + const int64_t ir011 = MIN(ir010 + dr0, nr0); + + const int64_t ir110 = dr1*ith1; + const int64_t ir111 = MIN(ir110 + dr1, nr1); + + //printf("ir010 = %6lld, ir011 = %6lld, ir110 = %6lld, ir111 = %6lld\n", ir010, ir011, ir110, ir111); + + // threads with no work simply yield (not sure if it helps) + if (ir010 >= ir011 || ir110 >= ir111) { + sched_yield(); + continue; + } + + assert(ne12 % ne02 == 0); + assert(ne13 % ne03 == 0); + + // block-tiling attempt + const int64_t blck_0 = 16; + const int64_t blck_1 = 16; + + // attempt to reduce false-sharing (does not seem to make a difference) + float tmp[16]; + + for (int64_t iir1 = ir110; iir1 < ir111; iir1 += blck_1) { + for (int64_t iir0 = ir010; iir0 < ir011; iir0 += blck_0) { + for (int64_t ir1 = iir1; ir1 < iir1 + blck_1 && ir1 < ir111; ++ir1) { + const int64_t i13 = (ir1/(ne12*cne1)); // Note: currently, src1 is always a matrix + const int64_t i12 = (ir1 - i13*ne12*cne1)/cne1; + const int64_t _i11 = (ir1 - i13*ne12*cne1 - i12*cne1); + const int64_t i11 = MMID_MATRIX_ROW(cur_a, _i11); + + // broadcast src0 into src1 + const int64_t i03 = i13/r3; + const int64_t i02 = i12/r2; + + const int64_t i1 = i11; + const int64_t i2 = i12; + const int64_t i3 = i13; + + const char * src0_row = (const char *) src0_cur->data + (0 + i02*nb02 + i03*nb03); + + // desc: when src1 is not a contiguous memory block we have to calculate the offset using the strides + // if it is, then we have either copied the data to params->wdata and made it contiguous or we are using + // the original src1 data pointer, so we should index using the indices directly + // TODO: this is a bit of a hack, we should probably have a better way to handle this + const char * src1_col = (const char *) wdata + + (src1_cont || src1->type != vec_dot_type + ? (i11 + i12*ne11 + i13*ne12*ne11)*row_size + : (i11*nb11 + i12*nb12 + i13*nb13)); + + float * dst_col = (float *) ((char *) dst->data + (i1*nb1 + i2*nb2 + i3*nb3)); + + //for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir011; ++ir0) { + // vec_dot(ne00, &dst_col[ir0], src0_row + ir0*nb01, src1_col); + //} + + for (int64_t ir0 = iir0; ir0 < iir0 + blck_0 && ir0 < ir011; ++ir0) { + vec_dot(ne00, &tmp[ir0 - iir0], src0_row + ir0*nb01, src1_col); + } + memcpy(&dst_col[iir0], tmp, (MIN(iir0 + blck_0, ir011) - iir0)*sizeof(float)); + } + } + } + } + + #undef MMID_MATRIX_ROW +} + +// ggml_compute_forward_out_prod + +static void ggml_compute_forward_out_prod_f32( + const struct ggml_compute_params * params, + const struct ggml_tensor * src0, + const struct ggml_tensor * src1, + struct ggml_tensor * dst) { + // int64_t t0 = ggml_perf_time_us(); + // UNUSED(t0); + + GGML_TENSOR_BINARY_OP_LOCALS + + const int ith = params->ith; + const int nth = params->nth; + + GGML_ASSERT(ne0 == ne00); + GGML_ASSERT(ne1 == ne10); + GGML_ASSERT(ne2 == ne02); + GGML_ASSERT(ne02 == ne12); + GGML_ASSERT(ne3 == ne13); + GGML_ASSERT(ne03 == ne13); + + // we don't support permuted src0 or src1 + GGML_ASSERT(nb00 == sizeof(float)); + + // dst cannot be transposed or permuted + GGML_ASSERT(nb0 == sizeof(float)); + // GGML_ASSERT(nb0 <= nb1); + // GGML_ASSERT(nb1 <= nb2); + // GGML_ASSERT(nb2 <= nb3); // nb01 >= nb00 - src0 is not transposed // compute by src0 rows // TODO: #if defined(GGML_USE_CUBLAS) ggml_cuda_out_prod - // TODO: #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CLBLAST) + // TODO: #if defined(GGML_USE_CLBLAST) + +#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) + bool use_blas = ggml_is_matrix(src0) && + ggml_is_matrix(src1) && + ggml_is_contiguous(src0) && + (ggml_is_contiguous(src1) || ggml_is_transposed(src1)); +#endif if (params->type == GGML_TASK_INIT) { +#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) // gemm beta will zero dst + if (use_blas) { + return; + } +#endif ggml_vec_set_f32(ne0*ne1*ne2*ne3, dst->data, 0); return; } @@ -9645,6 +10039,50 @@ static void ggml_compute_forward_out_prod_f32( return; } +#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) + if (use_blas) { + if (params->ith != 0) { // All threads other than the first do no work. + return; + } + // Arguments to ggml_compute_forward_out_prod (expressed as major,minor) + // src0: (k,n) + // src1: (k,m) + // dst: (m,n) + // + // Arguments to sgemm (see https://github.com/Reference-LAPACK/lapack/blob/master/BLAS/SRC/sgemm.f) + // Also expressed as (major,minor) + // a: (m,k): so src1 transposed + // b: (k,n): so src0 + // c: (m,n) + // + // However, if ggml_is_transposed(src1) is true, then + // src1->data already contains a transposed version, so sgemm mustn't + // transpose it further. + + int n = src0->ne[0]; + int k = src0->ne[1]; + int m = src1->ne[0]; + + int transposeA, lda; + + if (!ggml_is_transposed(src1)) { + transposeA = CblasTrans; + lda = m; + } else { + transposeA = CblasNoTrans; + lda = k; + } + + float * a = (float *) ((char *) src1->data); + float * b = (float *) ((char *) src0->data); + float * c = (float *) ((char *) dst->data); + + cblas_sgemm(CblasRowMajor, transposeA, CblasNoTrans, m, n, k, 1.0, a, lda, b, n, 0.0, c, n); + + return; + } +#endif + // dst[:,:,:,:] = 0 // for i2,i3: // for i1: @@ -9884,19 +10322,18 @@ static void ggml_compute_forward_out_prod( static void ggml_compute_forward_scale_f32( const struct ggml_compute_params * params, const struct ggml_tensor * src0, - const struct ggml_tensor * src1, struct ggml_tensor * dst) { GGML_ASSERT(ggml_is_contiguous(src0)); GGML_ASSERT(ggml_is_contiguous(dst)); GGML_ASSERT(ggml_are_same_shape(src0, dst)); - GGML_ASSERT(ggml_is_scalar(src1)); if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { return; } // scale factor - const float v = *(float *) src1->data; + float v; + memcpy(&v, dst->op_params, sizeof(float)); const int ith = params->ith; const int nth = params->nth; @@ -9927,12 +10364,11 @@ static void ggml_compute_forward_scale_f32( static void ggml_compute_forward_scale( const struct ggml_compute_params * params, const struct ggml_tensor * src0, - const struct ggml_tensor * src1, struct ggml_tensor * dst) { switch (src0->type) { case GGML_TYPE_F32: { - ggml_compute_forward_scale_f32(params, src0, src1, dst); + ggml_compute_forward_scale_f32(params, src0, dst); } break; default: { @@ -9952,7 +10388,7 @@ static void ggml_compute_forward_set_f32( GGML_ASSERT(ggml_is_contiguous(dst) && ggml_is_contiguous(src0)); // view src0 and dst with these strides and data offset inbytes during set - // nb0 is implicitely element_size because src0 and dst are contiguous + // nb0 is implicitly element_size because src0 and dst are contiguous size_t nb1 = ((int32_t *) dst->op_params)[0]; size_t nb2 = ((int32_t *) dst->op_params)[1]; size_t nb3 = ((int32_t *) dst->op_params)[2]; @@ -10116,21 +10552,30 @@ static void ggml_compute_forward_get_rows_q( return; } - const int nc = src0->ne[0]; - const int nr = ggml_nelements(src1); + GGML_TENSOR_BINARY_OP_LOCALS + + const int64_t nc = ne00; + const int64_t nr = ggml_nelements(src1); GGML_UNUSED(nr); + const enum ggml_type type = src0->type; ggml_to_float_t const dequantize_row_q = type_traits[type].to_float; - assert( dst->ne[0] == nc); - assert( dst->ne[1] == nr); - assert(src0->nb[0] == ggml_type_size(type)); + assert(ne0 == nc); + assert(ne02 == ne11); + assert(nb00 == ggml_type_size(type)); + assert(ggml_nrows(dst) == nr); - for (int i = 0; i < nr; ++i) { - const int r = ((int32_t *) src1->data)[i]; + // TODO: multi-thread + for (int64_t i12 = 0; i12 < ne12; ++i12) { + for (int64_t i11 = 0; i11 < ne11; ++i11) { + for (int64_t i10 = 0; i10 < ne10; ++i10) { + const int64_t i01 = *(int32_t *) ((char *) src1->data + i10*nb10 + i11*nb11 + i12*nb12); - dequantize_row_q( - (const void *) ((char *) src0->data + r*src0->nb[1]), - (float *) ((char *) dst->data + i*dst->nb[1]), nc); + dequantize_row_q( + (const void *) ((char *) src0->data + i01*nb01 + i11*nb02 + i12*nb03), + (float *) ((char *) dst->data + i10*nb1 + i11*nb2 + i12*nb3), nc); + } + } } } @@ -10145,19 +10590,26 @@ static void ggml_compute_forward_get_rows_f16( return; } - const int nc = src0->ne[0]; - const int nr = ggml_nelements(src1); + GGML_TENSOR_BINARY_OP_LOCALS - assert( dst->ne[0] == nc); - assert( dst->ne[1] == nr); - assert(src0->nb[0] == sizeof(ggml_fp16_t)); + const int64_t nc = ne00; + const int64_t nr = ggml_nelements(src1); GGML_UNUSED(nr); - for (int i = 0; i < nr; ++i) { - const int r = ((int32_t *) src1->data)[i]; + assert(ne0 == nc); + assert(ne02 == ne11); + assert(nb00 == sizeof(ggml_fp16_t)); + assert(ggml_nrows(dst) == nr); - for (int j = 0; j < nc; ++j) { - ggml_fp16_t v = ((ggml_fp16_t *) ((char *) src0->data + r*src0->nb[1]))[j]; - ((float *) ((char *) dst->data + i*dst->nb[1]))[j] = GGML_FP16_TO_FP32(v); + // TODO: multi-thread + for (int64_t i12 = 0; i12 < ne12; ++i12) { + for (int64_t i11 = 0; i11 < ne11; ++i11) { + for (int64_t i10 = 0; i10 < ne10; ++i10) { + const int64_t i01 = *(int32_t *) ((char *) src1->data + i10*nb10 + i11*nb11 + i12*nb12); + + ggml_fp16_to_fp32_row( + (const void *) ((char *) src0->data + i01*nb01 + i11*nb02 + i12*nb03), + (float *) ((char *) dst->data + i10*nb1 + i11*nb2 + i12*nb3), nc); + } } } } @@ -10173,19 +10625,27 @@ static void ggml_compute_forward_get_rows_f32( return; } - const int nc = src0->ne[0]; - const int nr = ggml_nelements(src1); + GGML_TENSOR_BINARY_OP_LOCALS - assert( dst->ne[0] == nc); - assert( dst->ne[1] == nr); - assert(src0->nb[0] == sizeof(float)); + const int64_t nc = ne00; + const int64_t nr = ggml_nelements(src1); GGML_UNUSED(nr); - for (int i = 0; i < nr; ++i) { - const int r = ((int32_t *) src1->data)[i]; + assert(ne0 == nc); + assert(ne02 == ne11); + assert(nb00 == sizeof(float)); + assert(ggml_nrows(dst) == nr); - ggml_vec_cpy_f32(nc, - (float *) ((char *) dst->data + i*dst->nb[1]), - (float *) ((char *) src0->data + r*src0->nb[1])); + // TODO: multi-thread + for (int64_t i12 = 0; i12 < ne12; ++i12) { + for (int64_t i11 = 0; i11 < ne11; ++i11) { + for (int64_t i10 = 0; i10 < ne10; ++i10) { + const int64_t i01 = *(int32_t *) ((char *) src1->data + i10*nb10 + i11*nb11 + i12*nb12); + + ggml_vec_cpy_f32(nc, + (float *) ((char *) dst->data + i10*nb1 + i11*nb2 + i12*nb3), + (float *) ((char *) src0->data + i01*nb01 + i11*nb02 + i12*nb03)); + } + } } } @@ -10498,20 +10958,25 @@ static void ggml_compute_forward_diag_mask_zero( static void ggml_compute_forward_soft_max_f32( const struct ggml_compute_params * params, const struct ggml_tensor * src0, - struct ggml_tensor * dst) { - GGML_ASSERT(ggml_is_contiguous(src0)); - GGML_ASSERT(ggml_is_contiguous(dst)); - GGML_ASSERT(ggml_are_same_shape(src0, dst)); + const struct ggml_tensor * src1, + struct ggml_tensor * dst) { + assert(ggml_is_contiguous(dst)); + assert(ggml_are_same_shape(src0, dst)); if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { return; } + float scale = 1.0f; + memcpy(&scale, (float *) dst->op_params + 0, sizeof(float)); + // TODO: handle transposed/permuted matrices const int ith = params->ith; const int nth = params->nth; + const int64_t ne11 = src1 ? src1->ne[1] : 1; + const int nc = src0->ne[0]; const int nr = ggml_nrows(src0); @@ -10522,29 +10987,40 @@ static void ggml_compute_forward_soft_max_f32( const int ir0 = dr*ith; const int ir1 = MIN(ir0 + dr, nr); + float * wp = (float *) params->wdata + (nc + CACHE_LINE_SIZE_F32) * ith; + for (int i1 = ir0; i1 < ir1; i1++) { - float *sp = (float *)((char *) src0->data + i1*src0->nb[1]); - float *dp = (float *)((char *) dst->data + i1*dst->nb[1]); + float * sp = (float *)((char *) src0->data + i1*src0->nb[1]); + float * dp = (float *)((char *) dst->data + i1*dst->nb[1]); + + // broadcast the mask across rows + float * mp = src1 ? (float *)((char *) src1->data + (i1%ne11)*src1->nb[1]) : NULL; + + ggml_vec_cpy_f32 (nc, wp, sp); + ggml_vec_scale_f32(nc, wp, scale); + if (mp) { + ggml_vec_acc_f32(nc, wp, mp); + } #ifndef NDEBUG for (int i = 0; i < nc; ++i) { //printf("p[%d] = %f\n", i, p[i]); - assert(!isnan(sp[i])); + assert(!isnan(wp[i])); } #endif float max = -INFINITY; - ggml_vec_max_f32(nc, &max, sp); + ggml_vec_max_f32(nc, &max, wp); ggml_float sum = 0.0; uint16_t scvt; for (int i = 0; i < nc; i++) { - if (sp[i] == -INFINITY) { + if (wp[i] == -INFINITY) { dp[i] = 0.0f; } else { - // const float val = (sp[i] == -INFINITY) ? 0.0 : exp(sp[i] - max); - ggml_fp16_t s = GGML_FP32_TO_FP16(sp[i] - max); + // const float val = (wp[i] == -INFINITY) ? 0.0 : exp(wp[i] - max); + ggml_fp16_t s = GGML_FP32_TO_FP16(wp[i] - max); memcpy(&scvt, &s, sizeof(scvt)); const float val = GGML_FP16_TO_FP32(ggml_table_exp_f16[scvt]); sum += (ggml_float)val; @@ -10569,11 +11045,12 @@ static void ggml_compute_forward_soft_max_f32( static void ggml_compute_forward_soft_max( const struct ggml_compute_params * params, const struct ggml_tensor * src0, - struct ggml_tensor * dst) { + const struct ggml_tensor * src1, + struct ggml_tensor * dst) { switch (src0->type) { case GGML_TYPE_F32: { - ggml_compute_forward_soft_max_f32(params, src0, dst); + ggml_compute_forward_soft_max_f32(params, src0, src1, dst); } break; default: { @@ -11080,10 +11557,13 @@ static void ggml_compute_forward_rope_f32( } } else { // TODO: this might be wrong for ne0 != n_dims - need double check - // ref: https://github.com/huggingface/transformers/blob/main/src/transformers/models/gpt_neox/modeling_gpt_neox.py#LL251C1-L294C28 + // it seems we have to rope just the first n_dims elements and do nothing with the rest + // ref: https://github.com/ml-explore/mlx/blob/dc2edc762c797e3b8de50b1dad4dc0a131691033/benchmarks/python/llama_jax_bench.py#L11-L26 theta_base *= freq_scale; - for (int64_t ib = 0; ib < ne0/n_dims; ++ib) { - for (int64_t ic = 0; ic < n_dims; ic += 2) { + for (int64_t ic = 0; ic < ne0; ic += 2) { + if (ic < n_dims) { + const int64_t ib = 0; + // simplified from `(ib * n_dims + ic) * inv_ndims` float cur_rot = inv_ndims * ic - ib; @@ -11106,6 +11586,14 @@ static void ggml_compute_forward_rope_f32( dst_data[0] = x0*cos_theta - x1*sin_theta; dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta; + } else { + const int64_t i0 = ic; + + const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00); + float * dst_data = (float *)((char *) dst->data + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + dst_data[0] = src[0]; + dst_data[1] = src[1]; } } } @@ -11233,10 +11721,13 @@ static void ggml_compute_forward_rope_f16( } } else { // TODO: this might be wrong for ne0 != n_dims - need double check - // ref: https://github.com/huggingface/transformers/blob/main/src/transformers/models/gpt_neox/modeling_gpt_neox.py#LL251C1-L294C28 + // it seems we have to rope just the first n_dims elements and do nothing with the rest + // ref: https://github.com/ml-explore/mlx/blob/dc2edc762c797e3b8de50b1dad4dc0a131691033/benchmarks/python/llama_jax_bench.py#L11-L26 theta_base *= freq_scale; - for (int64_t ib = 0; ib < ne0/n_dims; ++ib) { - for (int64_t ic = 0; ic < n_dims; ic += 2) { + for (int64_t ic = 0; ic < ne0; ic += 2) { + if (ic < n_dims) { + const int64_t ib = 0; + // simplified from `(ib * n_dims + ic) * inv_ndims` float cur_rot = inv_ndims * ic - ib; @@ -11259,6 +11750,14 @@ static void ggml_compute_forward_rope_f16( dst_data[0] = GGML_FP32_TO_FP16(x0*cos_theta - x1*sin_theta); dst_data[n_dims/2] = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta); + } else { + const int64_t i0 = ic; + + const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00); + ggml_fp16_t * dst_data = (ggml_fp16_t *)((char *) dst->data + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0); + + dst_data[0] = src[0]; + dst_data[1] = src[1]; } } } @@ -11888,6 +12387,7 @@ static void ggml_compute_forward_upscale_f32( GGML_ASSERT(src0->nb[0] == sizeof(float)); const int ith = params->ith; + const int nth = params->nth; GGML_TENSOR_UNARY_OP_LOCALS @@ -11895,16 +12395,17 @@ static void ggml_compute_forward_upscale_f32( // TODO: optimize - for (int i03 = 0; i03 < ne03; i03++) { - for (int i02 = ith; i02 < ne02; i02++) { - for (int m = 0; m < dst->ne[1]; m++) { - int i01 = m / scale_factor; - for (int n = 0; n < dst->ne[0]; n++) { - int i00 = n / scale_factor; - - const float * x = (float *)((char *) src0->data + i00 * nb00 +i01 * nb01 + i02 * nb02 + i03 * nb03); + for (int64_t i3 = 0; i3 < ne3; i3++) { + const int64_t i03 = i3; + for (int64_t i2 = ith; i2 < ne2; i2 += nth) { + const int64_t i02 = i2; + for (int64_t i1 = 0; i1 < ne1; i1++) { + const int64_t i01 = i1 / scale_factor; + for (int64_t i0 = 0; i0 < ne0; i0++) { + const int64_t i00 = i0 / scale_factor; - float * y = (float *)((char *) dst->data + n * dst->nb[0] + m * dst->nb[1] + i02 * dst->nb[2] + i03 * dst->nb[3]); + const float * x = (float *)((char *) src0->data + i00*nb00 + i01*nb01 + i02*nb02 + i03*nb03); + float * y = (float *)((char *) dst->data + i0*nb0 + i1*nb1 + i2*nb2 + i3*nb3); *y = *x; } @@ -11929,6 +12430,125 @@ static void ggml_compute_forward_upscale( } } +// ggml_compute_forward_pad + +static void ggml_compute_forward_pad_f32( + const struct ggml_compute_params * params, + const struct ggml_tensor * src0, + struct ggml_tensor * dst) { + + if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { + return; + } + + GGML_ASSERT(src0->nb[0] == sizeof(float)); + GGML_ASSERT( dst->nb[0] == sizeof(float)); + + const int ith = params->ith; + const int nth = params->nth; + + GGML_TENSOR_UNARY_OP_LOCALS + + float * dst_ptr = (float *) dst->data; + + // TODO: optimize + + for (int64_t i2 = 0; i2 < ne2; ++i2) { + for (int64_t i1 = ith; i1 < ne1; i1 += nth) { + for (int64_t i0 = 0; i0 < ne0; ++i0) { + for (int64_t i3 = 0; i3 < ne3; ++i3) { + const int64_t dst_idx = i3*(ne0*ne1*ne2) + i2*(ne0*ne1) + i1*ne0 + i0; + + const float * src_ptr = (const float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00); + + if (i0 < ne00 && i1 < ne01 && i2 < ne02 && i3 < ne03) { + dst_ptr[dst_idx] = *src_ptr; + } else { + dst_ptr[dst_idx] = 0; + } + } + } + } + } +} + +static void ggml_compute_forward_pad( + const struct ggml_compute_params * params, + const struct ggml_tensor * src0, + struct ggml_tensor * dst) { + switch (src0->type) { + case GGML_TYPE_F32: + { + ggml_compute_forward_pad_f32(params, src0, dst); + } break; + default: + { + GGML_ASSERT(false); + } break; + } +} + +// ggml_compute_forward_argsort + +static void ggml_compute_forward_argsort_f32( + const struct ggml_compute_params * params, + const struct ggml_tensor * src0, + struct ggml_tensor * dst) { + + if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { + return; + } + + GGML_TENSOR_UNARY_OP_LOCALS + + GGML_ASSERT(nb0 == sizeof(float)); + + const int ith = params->ith; + const int nth = params->nth; + + const int64_t nr = ggml_nrows(src0); + + enum ggml_sort_order order = (enum ggml_sort_order) ggml_get_op_params_i32(dst, 0); + + for (int64_t i = ith; i < nr; i += nth) { + int32_t * dst_data = (int32_t *)((char *) dst->data + i*nb1); + const float * src_data = (float *)((char *) src0->data + i*nb01); + + for (int64_t j = 0; j < ne0; j++) { + dst_data[j] = j; + } + + // C doesn't have a functional sort, so we do a bubble sort instead + for (int64_t j = 0; j < ne0; j++) { + for (int64_t k = j + 1; k < ne0; k++) { + if ((order == GGML_SORT_ASC && src_data[dst_data[j]] > src_data[dst_data[k]]) || + (order == GGML_SORT_DESC && src_data[dst_data[j]] < src_data[dst_data[k]])) { + int32_t tmp = dst_data[j]; + dst_data[j] = dst_data[k]; + dst_data[k] = tmp; + } + } + } + } +} + +static void ggml_compute_forward_argsort( + const struct ggml_compute_params * params, + const struct ggml_tensor * src0, + struct ggml_tensor * dst) { + + switch (src0->type) { + case GGML_TYPE_F32: + { + ggml_compute_forward_argsort_f32(params, src0, dst); + } break; + default: + { + GGML_ASSERT(false); + } break; + } +} + // ggml_compute_forward_flash_attn static void ggml_compute_forward_flash_attn_f32( @@ -13075,10 +13695,6 @@ static void ggml_compute_forward_unary( { ggml_compute_forward_silu(params, src0, dst); } break; - case GGML_UNARY_OP_LEAKY: - { - ggml_compute_forward_leaky(params, src0, dst); - } break; default: { GGML_ASSERT(false); @@ -13752,13 +14368,17 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm { ggml_compute_forward_mul_mat(params, tensor->src[0], tensor->src[1], tensor); } break; + case GGML_OP_MUL_MAT_ID: + { + ggml_compute_forward_mul_mat_id(params, tensor->src[0], tensor->src[1], tensor); + } break; case GGML_OP_OUT_PROD: { ggml_compute_forward_out_prod(params, tensor->src[0], tensor->src[1], tensor); } break; case GGML_OP_SCALE: { - ggml_compute_forward_scale(params, tensor->src[0], tensor->src[1], tensor); + ggml_compute_forward_scale(params, tensor->src[0], tensor); } break; case GGML_OP_SET: { @@ -13810,7 +14430,7 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm } break; case GGML_OP_SOFT_MAX: { - ggml_compute_forward_soft_max(params, tensor->src[0], tensor); + ggml_compute_forward_soft_max(params, tensor->src[0], tensor->src[1], tensor); } break; case GGML_OP_SOFT_MAX_BACK: { @@ -13856,6 +14476,18 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm { ggml_compute_forward_upscale(params, tensor->src[0], tensor); } break; + case GGML_OP_PAD: + { + ggml_compute_forward_pad(params, tensor->src[0], tensor); + } break; + case GGML_OP_ARGSORT: + { + ggml_compute_forward_argsort(params, tensor->src[0], tensor); + } break; + case GGML_OP_LEAKY_RELU: + { + ggml_compute_forward_leaky_relu(params, tensor->src[0], tensor); + } break; case GGML_OP_FLASH_ATTN: { const int32_t t = ggml_get_op_params_i32(tensor, 0); @@ -14110,7 +14742,7 @@ static struct ggml_tensor * ggml_recompute_graph_node( return replacements->vals[i]; } - struct ggml_tensor * clone = ggml_new_tensor(ctx, node->type, node->n_dims, node->ne); + struct ggml_tensor * clone = ggml_new_tensor(ctx, node->type, GGML_MAX_DIMS, node->ne); // insert clone into replacements GGML_ASSERT(replacements->set.keys[i] == NULL); // assert that we don't overwrite @@ -14180,7 +14812,7 @@ void ggml_build_backward_gradient_checkpointing( // insert new tensors recomputing src, reusing already made replacements, // remember replacements: remember new tensors with mapping from corresponding gf nodes // recurse for input tensors, - // unless (i.e. terminating when) input tensors are replacments (like checkpoints) + // unless (i.e. terminating when) input tensors are replacements (like checkpoints) node->src[k] = ggml_recompute_graph_node(ctx, gf, replacements, node->src[k]); } // insert rewritten backward node with replacements made into resulting backward graph gb @@ -14202,7 +14834,7 @@ static struct ggml_tensor * ggml_add_or_set(struct ggml_context * ctx, struct gg static struct ggml_tensor * ggml_acc_or_set(struct ggml_context * ctx, struct ggml_tensor * a, struct ggml_tensor * b, size_t nb1, size_t nb2, size_t nb3, size_t offset, struct ggml_hash_set zero_table) { if (ggml_hash_contains(zero_table, a)) { - struct ggml_tensor * a_zero = ggml_scale(ctx, a, ggml_new_f32(ctx, 0)); + struct ggml_tensor * a_zero = ggml_scale(ctx, a, 0.0f); return ggml_acc_impl(ctx, a_zero, b, nb1, nb2, nb3, offset, false); } else { return ggml_acc_impl(ctx, a, b, nb1, nb2, nb3, offset, false); @@ -14338,7 +14970,7 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor src0->grad, ggml_scale(ctx, ggml_mul(ctx, src0, tensor->grad), - ggml_new_f32(ctx, 2.0f)), + 2.0f), zero_table); } } break; @@ -14352,7 +14984,7 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor ggml_div(ctx, tensor->grad, tensor), - ggml_new_f32(ctx, 0.5f)), + 0.5f), zero_table); } } break; @@ -14506,6 +15138,10 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor zero_table); } } break; + case GGML_OP_MUL_MAT_ID: + { + GGML_ASSERT(false); // TODO: not implemented + } break; case GGML_OP_OUT_PROD: { GGML_ASSERT(false); // TODO: not implemented @@ -14514,17 +15150,13 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor { // necessary for llama if (src0->grad) { + float s; + memcpy(&s, tensor->op_params, sizeof(float)); + src0->grad = ggml_add_or_set(ctx, src0->grad, - ggml_scale_impl(ctx, tensor->grad, src1, false), - zero_table); - } - if (src1->grad) { - src1->grad = - ggml_add_or_set(ctx, - src1->grad, - ggml_sum(ctx, ggml_mul_impl(ctx, tensor->grad, src0, false)), + ggml_scale_impl(ctx, tensor->grad, s, false), zero_table); } } break; @@ -14702,6 +15334,8 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor const int n_past = ((int32_t *) tensor->op_params)[0]; src0->grad = ggml_add_or_set(ctx, src0->grad, + /* ggml_diag_mask_inf_impl() shouldn't be here */ + /* ref: https://github.com/ggerganov/llama.cpp/pull/4203#discussion_r1412377992 */ ggml_diag_mask_zero_impl(ctx, tensor->grad, n_past, false), zero_table); } @@ -14844,6 +15478,18 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor { GGML_ASSERT(false); // TODO: not implemented } break; + case GGML_OP_PAD: + { + GGML_ASSERT(false); // TODO: not implemented + } break; + case GGML_OP_ARGSORT: + { + GGML_ASSERT(false); // TODO: not implemented + } break; + case GGML_OP_LEAKY_RELU: + { + GGML_ASSERT(false); // TODO: not implemented + } break; case GGML_OP_FLASH_ATTN: { struct ggml_tensor * flash_grad = NULL; @@ -15204,12 +15850,8 @@ struct ggml_cgraph * ggml_new_graph(struct ggml_context * ctx) { return ggml_new_graph_custom(ctx, GGML_DEFAULT_GRAPH_SIZE, false); } -struct ggml_cgraph * ggml_graph_view(struct ggml_context * ctx, struct ggml_cgraph * cgraph0, int i0, int i1) { - const size_t obj_size = sizeof(struct ggml_cgraph); - struct ggml_object * obj = ggml_new_object(ctx, GGML_OBJECT_GRAPH, obj_size); - struct ggml_cgraph * cgraph = (struct ggml_cgraph *) ((char *) ctx->mem_buffer + obj->offs); - - *cgraph = (struct ggml_cgraph) { +struct ggml_cgraph ggml_graph_view(struct ggml_cgraph * cgraph0, int i0, int i1) { + struct ggml_cgraph cgraph = { /*.size =*/ 0, /*.n_nodes =*/ i1 - i0, /*.n_leafs =*/ 0, @@ -15444,7 +16086,6 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { n_tasks = n_threads; } break; case GGML_OP_SUB: - case GGML_OP_DIV: case GGML_OP_SQR: case GGML_OP_SQRT: case GGML_OP_LOG: @@ -15454,6 +16095,7 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { case GGML_OP_ARGMAX: case GGML_OP_REPEAT: case GGML_OP_REPEAT_BACK: + case GGML_OP_LEAKY_RELU: { n_tasks = 1; } break; @@ -15466,7 +16108,6 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { case GGML_UNARY_OP_TANH: case GGML_UNARY_OP_ELU: case GGML_UNARY_OP_RELU: - case GGML_UNARY_OP_LEAKY: { n_tasks = 1; } break; @@ -15477,10 +16118,13 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { { n_tasks = n_threads; } break; + default: + GGML_ASSERT(false); } break; case GGML_OP_SILU_BACK: case GGML_OP_MUL: + case GGML_OP_DIV: case GGML_OP_NORM: case GGML_OP_RMS_NORM: case GGML_OP_RMS_NORM_BACK: @@ -15518,6 +16162,10 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { } #endif } break; + case GGML_OP_MUL_MAT_ID: + { + n_tasks = n_threads; + } break; case GGML_OP_OUT_PROD: { n_tasks = n_threads; @@ -15537,7 +16185,6 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { } break; case GGML_OP_DIAG_MASK_ZERO: case GGML_OP_DIAG_MASK_INF: - case GGML_OP_SOFT_MAX: case GGML_OP_SOFT_MAX_BACK: case GGML_OP_ROPE: case GGML_OP_ROPE_BACK: @@ -15553,6 +16200,10 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { { n_tasks = 1; //TODO } break; + case GGML_OP_SOFT_MAX: + { + n_tasks = MIN(MIN(4, n_threads), ggml_nrows(node->src[0])); + } break; case GGML_OP_CONV_TRANSPOSE_1D: { n_tasks = n_threads; @@ -15574,6 +16225,14 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { { n_tasks = n_threads; } break; + case GGML_OP_PAD: + { + n_tasks = n_threads; + } break; + case GGML_OP_ARGSORT: + { + n_tasks = n_threads; + } break; case GGML_OP_FLASH_ATTN: { n_tasks = n_threads; @@ -15642,7 +16301,12 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { } break; default: { - printf("%s: op %s not implemented\n", __func__, ggml_op_name(node->op)); + fprintf(stderr, "%s: op not implemented: ", __func__); + if (node->op < GGML_OP_COUNT) { + fprintf(stderr, "%s\n", ggml_op_name(node->op)); + } else { + fprintf(stderr, "%d\n", node->op); + } GGML_ASSERT(false); } break; } @@ -15783,18 +16447,16 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) { // thread scheduling for the different operations + work buffer size estimation for (int i = 0; i < cgraph->n_nodes; i++) { - int n_tasks = 1; - struct ggml_tensor * node = cgraph->nodes[i]; + const int n_tasks = ggml_get_n_tasks(node, n_threads); + size_t cur = 0; switch (node->op) { case GGML_OP_CPY: case GGML_OP_DUP: { - n_tasks = n_threads; - if (ggml_is_quantized(node->type)) { cur = ggml_type_size(GGML_TYPE_F32) * node->ne[0] * n_tasks; } @@ -15802,16 +16464,12 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) { case GGML_OP_ADD: case GGML_OP_ADD1: { - n_tasks = n_threads; - if (ggml_is_quantized(node->src[0]->type)) { cur = ggml_type_size(GGML_TYPE_F32) * node->src[0]->ne[0] * n_tasks; } } break; case GGML_OP_ACC: { - n_tasks = n_threads; - if (ggml_is_quantized(node->src[0]->type)) { cur = ggml_type_size(GGML_TYPE_F32) * node->src[1]->ne[0] * n_tasks; } @@ -15834,17 +16492,32 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) { } else #endif if (node->src[1]->type != vec_dot_type) { - cur = ggml_type_size(vec_dot_type)*ggml_nelements(node->src[1])/ggml_blck_size(vec_dot_type); + cur = ggml_row_size(vec_dot_type, ggml_nelements(node->src[1])); } } break; + case GGML_OP_MUL_MAT_ID: + { + const struct ggml_tensor * src0 = node->src[2]; + const struct ggml_tensor * src1 = node->src[1]; + const enum ggml_type vec_dot_type = type_traits[src0->type].vec_dot_type; + if (src1->type != vec_dot_type) { + cur = ggml_row_size(vec_dot_type, ggml_nelements(src1)); + } + const int n_as = ggml_get_op_params_i32(node, 1); + cur = GGML_PAD(cur, sizeof(int64_t)); // align + cur += n_as * sizeof(int64_t); // matrix_row_counts + cur += n_as * src1->ne[1] * sizeof(int64_t); // matrix_rows + } break; case GGML_OP_OUT_PROD: { - n_tasks = n_threads; - if (ggml_is_quantized(node->src[0]->type)) { cur = ggml_type_size(GGML_TYPE_F32) * node->src[0]->ne[0] * n_tasks; } } break; + case GGML_OP_SOFT_MAX: + { + cur = ggml_type_size(GGML_TYPE_F32) * node->ne[0] * n_tasks; + } break; case GGML_OP_CONV_TRANSPOSE_1D: { GGML_ASSERT(node->src[0]->ne[3] == 1); @@ -15870,10 +16543,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) { GGML_ASSERT(false); } } break; - case GGML_OP_IM2COL: - { - n_tasks = n_threads; - } break; case GGML_OP_CONV_TRANSPOSE_2D: { const int64_t ne00 = node->src[0]->ne[0]; // W @@ -15890,8 +16559,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) { } break; case GGML_OP_FLASH_ATTN: { - n_tasks = n_threads; - const int64_t ne11 = ggml_up(node->src[1]->ne[1], GGML_SOFT_MAX_UNROLL); if (node->src[1]->type == GGML_TYPE_F32) { @@ -15904,8 +16571,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) { } break; case GGML_OP_FLASH_FF: { - n_tasks = n_threads; - if (node->src[1]->type == GGML_TYPE_F32) { cur = sizeof(float)*node->src[1]->ne[1]*n_tasks; // TODO: this can become (n_tasks-1) cur += sizeof(float)*node->src[1]->ne[1]*n_tasks; // this is overestimated by x2 @@ -15916,8 +16581,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) { } break; case GGML_OP_FLASH_ATTN_BACK: { - n_tasks = n_threads; - const int64_t D = node->src[0]->ne[0]; const int64_t ne11 = ggml_up(node->src[1]->ne[1], GGML_SOFT_MAX_UNROLL); const int64_t mxDn = MAX(D, ne11) * 2; // *2 because of S and SM in ggml_compute_forward_flash_attn_back @@ -15932,8 +16595,6 @@ struct ggml_cplan ggml_graph_plan(struct ggml_cgraph * cgraph, int n_threads) { case GGML_OP_CROSS_ENTROPY_LOSS: { - n_tasks = n_threads; - cur = ggml_type_size(node->type)*(n_tasks + node->src[0]->ne[0]*n_tasks); } break; case GGML_OP_COUNT: @@ -16075,7 +16736,7 @@ static void ggml_graph_export_leaf(const struct ggml_tensor * tensor, FILE * fou fprintf(fout, "%-6s %-12s %8d %" PRId64 " %" PRId64 " %" PRId64 " %" PRId64 " %16zu %16zu %16zu %16zu %16p %32s\n", ggml_type_name(tensor->type), ggml_op_name (tensor->op), - tensor->n_dims, + ggml_n_dims(tensor), ne[0], ne[1], ne[2], ne[3], nb[0], nb[1], nb[2], nb[3], tensor->data, @@ -16090,7 +16751,7 @@ static void ggml_graph_export_node(const struct ggml_tensor * tensor, const char arg, ggml_type_name(tensor->type), ggml_op_name (tensor->op), - tensor->n_dims, + ggml_n_dims(tensor), ne[0], ne[1], ne[2], ne[3], nb[0], nb[1], nb[2], nb[3], tensor->data, @@ -16180,11 +16841,9 @@ void ggml_graph_export(const struct ggml_cgraph * cgraph, const char * fname) { const uint32_t type = tensor->type; const uint32_t op = tensor->op; - const uint32_t n_dims = tensor->n_dims; fwrite(&type, sizeof(uint32_t), 1, fout); fwrite(&op, sizeof(uint32_t), 1, fout); - fwrite(&n_dims, sizeof(uint32_t), 1, fout); for (int j = 0; j < GGML_MAX_DIMS; ++j) { const uint64_t ne = tensor->ne[j]; @@ -16214,11 +16873,9 @@ void ggml_graph_export(const struct ggml_cgraph * cgraph, const char * fname) { const uint32_t type = tensor->type; const uint32_t op = tensor->op; - const uint32_t n_dims = tensor->n_dims; fwrite(&type, sizeof(uint32_t), 1, fout); fwrite(&op, sizeof(uint32_t), 1, fout); - fwrite(&n_dims, sizeof(uint32_t), 1, fout); for (int j = 0; j < GGML_MAX_DIMS; ++j) { const uint64_t ne = tensor->ne[j]; @@ -16390,12 +17047,10 @@ struct ggml_cgraph * ggml_graph_import(const char * fname, struct ggml_context * { uint32_t type; uint32_t op; - uint32_t n_dims; for (uint32_t i = 0; i < n_leafs; ++i) { type = *(const uint32_t *) ptr; ptr += sizeof(type); op = *(const uint32_t *) ptr; ptr += sizeof(op); - n_dims = *(const uint32_t *) ptr; ptr += sizeof(n_dims); int64_t ne[GGML_MAX_DIMS]; size_t nb[GGML_MAX_DIMS]; @@ -16411,7 +17066,7 @@ struct ggml_cgraph * ggml_graph_import(const char * fname, struct ggml_context * nb[j] = nb_cur; } - struct ggml_tensor * tensor = ggml_new_tensor(*ctx_eval, (enum ggml_type) type, n_dims, ne); + struct ggml_tensor * tensor = ggml_new_tensor(*ctx_eval, (enum ggml_type) type, GGML_MAX_DIMS, ne); tensor->op = (enum ggml_op) op; @@ -16428,7 +17083,7 @@ struct ggml_cgraph * ggml_graph_import(const char * fname, struct ggml_context * ptr += ggml_nbytes(tensor); - fprintf(stderr, "%s: loaded leaf %d: '%16s', %3d dims, %9zu bytes\n", __func__, i, tensor->name, n_dims, ggml_nbytes(tensor)); + fprintf(stderr, "%s: loaded leaf %d: '%16s', %9zu bytes\n", __func__, i, tensor->name, ggml_nbytes(tensor)); } } @@ -16438,12 +17093,10 @@ struct ggml_cgraph * ggml_graph_import(const char * fname, struct ggml_context * { uint32_t type; uint32_t op; - uint32_t n_dims; for (uint32_t i = 0; i < n_nodes; ++i) { type = *(const uint32_t *) ptr; ptr += sizeof(type); op = *(const uint32_t *) ptr; ptr += sizeof(op); - n_dims = *(const uint32_t *) ptr; ptr += sizeof(n_dims); enum ggml_op eop = (enum ggml_op) op; @@ -16514,7 +17167,7 @@ struct ggml_cgraph * ggml_graph_import(const char * fname, struct ggml_context * } break; default: { - tensor = ggml_new_tensor(*ctx_eval, (enum ggml_type) type, n_dims, ne); + tensor = ggml_new_tensor(*ctx_eval, (enum ggml_type) type, GGML_MAX_DIMS, ne); tensor->op = eop; } break; @@ -16533,7 +17186,7 @@ struct ggml_cgraph * ggml_graph_import(const char * fname, struct ggml_context * result->nodes[i] = tensor; - fprintf(stderr, "%s: loaded node %d: '%16s', %3d dims, %9zu bytes\n", __func__, i, tensor->name, n_dims, ggml_nbytes(tensor)); + fprintf(stderr, "%s: loaded node %d: '%16s', %9zu bytes\n", __func__, i, tensor->name, ggml_nbytes(tensor)); } } } @@ -16671,7 +17324,7 @@ void ggml_graph_dump_dot(const struct ggml_cgraph * gb, const struct ggml_cgraph fprintf(fp, "(%s)|", ggml_type_name(node->type)); } - if (node->n_dims == 2) { + if (ggml_is_matrix(node)) { fprintf(fp, "%d [%" PRId64 ", %" PRId64 "] | %s", i, node->ne[0], node->ne[1], ggml_op_symbol(node->op)); } else { fprintf(fp, "%d [%" PRId64 ", %" PRId64 ", %" PRId64 "] | %s", i, node->ne[0], node->ne[1], node->ne[2], ggml_op_symbol(node->op)); @@ -16800,9 +17453,9 @@ static void ggml_opt_acc_grad(int np, struct ggml_tensor * const ps[], float * g } // -// ADAM +// Using AdamW - ref: https://arxiv.org/pdf/1711.05101v3.pdf // -// ref: https://arxiv.org/pdf/1412.6980.pdf +// (Original Adam - ref: https://arxiv.org/pdf/1412.6980.pdf) // static enum ggml_opt_result ggml_opt_adam( @@ -16938,7 +17591,7 @@ static enum ggml_opt_result ggml_opt_adam( int64_t i = 0; for (int p = 0; p < np; ++p) { const int64_t ne = ggml_nelements(ps[p]); - const float p_decay = ((ps[p]->n_dims >= decay_min_ndim) ? decay : 0.0f) * sched; + const float p_decay = ((ggml_n_dims(ps[p]) >= decay_min_ndim) ? decay : 0.0f) * sched; for (int64_t j = 0; j < ne; ++j) { float x = ggml_get_f32_1d(ps[p], j); float g_ = g[i]*gnorm; @@ -17720,8 +18373,8 @@ size_t ggml_quantize_q5_0(const float * src, void * dst, int n, int k, int64_t * memcpy(&qh, &y[i].qh, sizeof(qh)); for (int j = 0; j < QK5_0; j += 2) { - const uint8_t vh0 = ((qh & (1u << (j + 0 ))) >> (j + 0 )) << 4; - const uint8_t vh1 = ((qh & (1u << (j + 16))) >> (j + 12)); + const uint8_t vh0 = ((qh & (1u << (j/2 + 0 ))) >> (j/2 + 0 )) << 4; + const uint8_t vh1 = ((qh & (1u << (j/2 + 16))) >> (j/2 + 12)); // cast to 16 bins const uint8_t vi0 = ((y[i].qs[j/2] & 0x0F) | vh0) / 2; @@ -17750,8 +18403,8 @@ size_t ggml_quantize_q5_1(const float * src, void * dst, int n, int k, int64_t * memcpy(&qh, &y[i].qh, sizeof(qh)); for (int j = 0; j < QK5_1; j += 2) { - const uint8_t vh0 = ((qh & (1u << (j + 0 ))) >> (j + 0 )) << 4; - const uint8_t vh1 = ((qh & (1u << (j + 16))) >> (j + 12)); + const uint8_t vh0 = ((qh & (1u << (j/2 + 0 ))) >> (j/2 + 0 )) << 4; + const uint8_t vh1 = ((qh & (1u << (j/2 + 16))) >> (j/2 + 12)); // cast to 16 bins const uint8_t vi0 = ((y[i].qs[j/2] & 0x0F) | vh0) / 2; @@ -17941,6 +18594,7 @@ struct gguf_kv { struct gguf_header { char magic[4]; + uint32_t version; uint64_t n_tensors; // GGUFv2 uint64_t n_kv; // GGUFv2 @@ -18030,7 +18684,7 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p for (uint32_t i = 0; i < sizeof(magic); i++) { if (magic[i] != GGUF_MAGIC[i]) { - fprintf(stderr, "%s: invalid magic characters %s.\n", __func__, magic); + fprintf(stderr, "%s: invalid magic characters '%c%c%c%c'\n", __func__, magic[0], magic[1], magic[2], magic[3]); fclose(file); return NULL; } @@ -18045,7 +18699,6 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p { strncpy(ctx->header.magic, magic, 4); - ctx->kv = NULL; ctx->infos = NULL; ctx->data = NULL; @@ -18212,7 +18865,7 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p return NULL; } - const size_t size_cur = (ne*ggml_type_size(info->type))/ggml_blck_size(info->type); + const size_t size_cur = ggml_row_size(info->type, ne); ctx->size += GGML_PAD(size_cur, ctx->alignment); } @@ -18399,24 +19052,29 @@ int gguf_find_key(const struct gguf_context * ctx, const char * key) { } const char * gguf_get_key(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); return ctx->kv[key_id].key.data; } enum gguf_type gguf_get_kv_type(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); return ctx->kv[key_id].type; } enum gguf_type gguf_get_arr_type(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_ARRAY); return ctx->kv[key_id].value.arr.type; } const void * gguf_get_arr_data(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_ARRAY); return ctx->kv[key_id].value.arr.data; } const char * gguf_get_arr_str(const struct gguf_context * ctx, int key_id, int i) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_ARRAY); struct gguf_kv * kv = &ctx->kv[key_id]; struct gguf_str * str = &((struct gguf_str *) kv->value.arr.data)[i]; @@ -18424,70 +19082,90 @@ const char * gguf_get_arr_str(const struct gguf_context * ctx, int key_id, int i } int gguf_get_arr_n(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_ARRAY); return ctx->kv[key_id].value.arr.n; } uint8_t gguf_get_val_u8(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_UINT8); return ctx->kv[key_id].value.uint8; } int8_t gguf_get_val_i8(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_INT8); return ctx->kv[key_id].value.int8; } uint16_t gguf_get_val_u16(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_UINT16); return ctx->kv[key_id].value.uint16; } int16_t gguf_get_val_i16(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_INT16); return ctx->kv[key_id].value.int16; } uint32_t gguf_get_val_u32(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_UINT32); return ctx->kv[key_id].value.uint32; } int32_t gguf_get_val_i32(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_INT32); return ctx->kv[key_id].value.int32; } float gguf_get_val_f32(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_FLOAT32); return ctx->kv[key_id].value.float32; } uint64_t gguf_get_val_u64(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_UINT64); return ctx->kv[key_id].value.uint64; } int64_t gguf_get_val_i64(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_INT64); return ctx->kv[key_id].value.int64; } double gguf_get_val_f64(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_FLOAT64); return ctx->kv[key_id].value.float64; } bool gguf_get_val_bool(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_BOOL); return ctx->kv[key_id].value.bool_; } const char * gguf_get_val_str(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); GGML_ASSERT(ctx->kv[key_id].type == GGUF_TYPE_STRING); return ctx->kv[key_id].value.str.data; } +const void * gguf_get_val_data(const struct gguf_context * ctx, int key_id) { + GGML_ASSERT(key_id >= 0 && key_id < gguf_get_n_kv(ctx)); + GGML_ASSERT(ctx->kv[key_id].type != GGUF_TYPE_ARRAY); + GGML_ASSERT(ctx->kv[key_id].type != GGUF_TYPE_STRING); + return &ctx->kv[key_id].value; +} + int gguf_get_n_tensors(const struct gguf_context * ctx) { return ctx->header.n_tensors; } @@ -18516,6 +19194,10 @@ char * gguf_get_tensor_name(const struct gguf_context * ctx, int i) { return ctx->infos[i].name.data; } +enum ggml_type gguf_get_tensor_type(const struct gguf_context * ctx, int i) { + return ctx->infos[i].type; +} + // returns the index static int gguf_get_or_add_key(struct gguf_context * ctx, const char * key) { const int idx = gguf_find_key(ctx, key); @@ -18666,7 +19348,7 @@ void gguf_set_kv(struct gguf_context * ctx, struct gguf_context * src) { data[j] = ((struct gguf_str *)src->kv[i].value.arr.data)[j].data; } gguf_set_arr_str(ctx, src->kv[i].key.data, data, src->kv[i].value.arr.n); - free(data); + free((void *)data); } else if (src->kv[i].value.arr.type == GGUF_TYPE_ARRAY) { GGML_ASSERT(false && "nested arrays not supported"); } else { @@ -18691,8 +19373,8 @@ void gguf_add_tensor( ctx->infos[idx].ne[i] = 1; } - ctx->infos[idx].n_dims = tensor->n_dims; - for (int i = 0; i < tensor->n_dims; i++) { + ctx->infos[idx].n_dims = ggml_n_dims(tensor); + for (uint32_t i = 0; i < ctx->infos[idx].n_dims; i++) { ctx->infos[idx].ne[i] = tensor->ne[i]; } diff --git a/ggml.h b/ggml.h index 8e6b646066b..67d6bc4f1ef 100644 --- a/ggml.h +++ b/ggml.h @@ -215,9 +215,9 @@ #define GGML_QNT_VERSION_FACTOR 1000 // do not change this #define GGML_MAX_DIMS 4 -#define GGML_MAX_PARAMS 1024 +#define GGML_MAX_PARAMS 2048 #define GGML_MAX_CONTEXTS 64 -#define GGML_MAX_SRC 6 +#define GGML_MAX_SRC 10 #define GGML_MAX_NAME 64 #define GGML_MAX_OP_PARAMS 64 #define GGML_DEFAULT_N_THREADS 4 @@ -244,11 +244,10 @@ #define GGML_ASSERT(x) \ do { \ if (!(x)) { \ - fprintf(stderr, "GGML_ASSERT: %s:%d: %s\n", __FILE__, __LINE__, #x); \ - fflush(stderr); \ fflush(stdout); \ + fprintf(stderr, "GGML_ASSERT: %s:%d: %s\n", __FILE__, __LINE__, #x); \ ggml_print_backtrace(); \ - exit(1); \ + abort(); \ } \ } while (0) @@ -256,6 +255,8 @@ #define GGML_UNREACHABLE() GGML_ASSERT(!"statement should not be reached") #elif defined(__GNUC__) #define GGML_UNREACHABLE() __builtin_unreachable() +#elif defined(_MSC_VER) +#define GGML_UNREACHABLE() __assume(0) #else #define GGML_UNREACHABLE() ((void) 0) #endif @@ -284,13 +285,27 @@ const type prefix##3 = (pointer)->array[3]; \ GGML_UNUSED(prefix##3); +#define GGML_TENSOR_UNARY_OP_LOCALS \ + GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne) \ + GGML_TENSOR_LOCALS(size_t, nb0, src0, nb) \ + GGML_TENSOR_LOCALS(int64_t, ne, dst, ne) \ + GGML_TENSOR_LOCALS(size_t, nb, dst, nb) + +#define GGML_TENSOR_BINARY_OP_LOCALS \ + GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne) \ + GGML_TENSOR_LOCALS(size_t, nb0, src0, nb) \ + GGML_TENSOR_LOCALS(int64_t, ne1, src1, ne) \ + GGML_TENSOR_LOCALS(size_t, nb1, src1, nb) \ + GGML_TENSOR_LOCALS(int64_t, ne, dst, ne) \ + GGML_TENSOR_LOCALS(size_t, nb, dst, nb) + #ifdef __cplusplus extern "C" { #endif #if defined(__ARM_NEON) && defined(__CUDACC__) typedef half ggml_fp16_t; -#elif defined(__ARM_NEON) +#elif defined(__ARM_NEON) && !defined(_MSC_VER) typedef __fp16 ggml_fp16_t; #else typedef uint16_t ggml_fp16_t; @@ -330,6 +345,12 @@ extern "C" { GGML_TYPE_COUNT, }; + // precision + enum ggml_prec { + GGML_PREC_DEFAULT, + GGML_PREC_F32, + }; + enum ggml_backend_type { GGML_BACKEND_CPU = 0, GGML_BACKEND_GPU = 10, @@ -382,6 +403,7 @@ extern "C" { GGML_OP_GROUP_NORM, GGML_OP_MUL_MAT, + GGML_OP_MUL_MAT_ID, GGML_OP_OUT_PROD, GGML_OP_SCALE, @@ -408,8 +430,10 @@ extern "C" { GGML_OP_CONV_TRANSPOSE_2D, GGML_OP_POOL_1D, GGML_OP_POOL_2D, - GGML_OP_UPSCALE, // nearest interpolate + GGML_OP_PAD, + GGML_OP_ARGSORT, + GGML_OP_LEAKY_RELU, GGML_OP_FLASH_ATTN, GGML_OP_FLASH_FF, @@ -449,7 +473,8 @@ extern "C" { GGML_UNARY_OP_GELU, GGML_UNARY_OP_GELU_QUICK, GGML_UNARY_OP_SILU, - GGML_UNARY_OP_LEAKY + + GGML_UNARY_OP_COUNT, }; enum ggml_object_type { @@ -461,7 +486,8 @@ extern "C" { enum ggml_log_level { GGML_LOG_LEVEL_ERROR = 2, GGML_LOG_LEVEL_WARN = 3, - GGML_LOG_LEVEL_INFO = 4 + GGML_LOG_LEVEL_INFO = 4, + GGML_LOG_LEVEL_DEBUG = 5 }; // ggml object @@ -485,7 +511,6 @@ extern "C" { struct ggml_backend_buffer * buffer; - int n_dims; int64_t ne[GGML_MAX_DIMS]; // number of elements size_t nb[GGML_MAX_DIMS]; // stride in bytes: // nb[0] = ggml_type_size(type) @@ -517,7 +542,7 @@ extern "C" { void * extra; // extra things e.g. for ggml-cuda.cu - char padding[12]; + char padding[8]; }; static const size_t GGML_TENSOR_SIZE = sizeof(struct ggml_tensor); @@ -622,16 +647,22 @@ extern "C" { GGML_API int64_t ggml_nrows (const struct ggml_tensor * tensor); GGML_API size_t ggml_nbytes (const struct ggml_tensor * tensor); GGML_API size_t ggml_nbytes_pad (const struct ggml_tensor * tensor); // same as ggml_nbytes() but padded to GGML_MEM_ALIGN - GGML_API size_t ggml_nbytes_split(const struct ggml_tensor * tensor, int nrows_split); - GGML_API int ggml_blck_size (enum ggml_type type); - GGML_API size_t ggml_type_size (enum ggml_type type); // size in bytes for all elements in a block - GGML_API float ggml_type_sizef(enum ggml_type type); // ggml_type_size()/ggml_blck_size() as float + GGML_API int ggml_blck_size(enum ggml_type type); + GGML_API size_t ggml_type_size(enum ggml_type type); // size in bytes for all elements in a block + GGML_API size_t ggml_row_size (enum ggml_type type, int64_t ne); // size in bytes for all elements in a row + + GGML_DEPRECATED( + GGML_API double ggml_type_sizef(enum ggml_type type), // ggml_type_size()/ggml_blck_size() as float + "use ggml_row_size() instead"); GGML_API const char * ggml_type_name(enum ggml_type type); GGML_API const char * ggml_op_name (enum ggml_op op); GGML_API const char * ggml_op_symbol(enum ggml_op op); + GGML_API const char * ggml_unary_op_name(enum ggml_unary_op op); + GGML_API const char * ggml_op_desc(const struct ggml_tensor * t); // unary or op name + GGML_API size_t ggml_element_size(const struct ggml_tensor * tensor); GGML_API bool ggml_is_quantized(enum ggml_type type); @@ -642,6 +673,11 @@ extern "C" { GGML_API bool ggml_is_transposed(const struct ggml_tensor * tensor); GGML_API bool ggml_is_contiguous(const struct ggml_tensor * tensor); GGML_API bool ggml_is_permuted (const struct ggml_tensor * tensor); + GGML_API bool ggml_is_scalar (const struct ggml_tensor * tensor); + GGML_API bool ggml_is_vector (const struct ggml_tensor * tensor); + GGML_API bool ggml_is_matrix (const struct ggml_tensor * tensor); + GGML_API bool ggml_is_3d (const struct ggml_tensor * tensor); + GGML_API int ggml_n_dims (const struct ggml_tensor * tensor); // returns 1 for scalars GGML_API bool ggml_are_same_shape(const struct ggml_tensor * t0, const struct ggml_tensor * t1); @@ -702,8 +738,8 @@ extern "C" { GGML_API struct ggml_tensor * ggml_view_tensor(struct ggml_context * ctx, struct ggml_tensor * src); // Context tensor enumeration and lookup - GGML_API struct ggml_tensor * ggml_get_first_tensor(struct ggml_context * ctx); - GGML_API struct ggml_tensor * ggml_get_next_tensor (struct ggml_context * ctx, struct ggml_tensor * tensor); + GGML_API struct ggml_tensor * ggml_get_first_tensor(const struct ggml_context * ctx); + GGML_API struct ggml_tensor * ggml_get_next_tensor (const struct ggml_context * ctx, struct ggml_tensor * tensor); GGML_API struct ggml_tensor * ggml_get_tensor(struct ggml_context * ctx, const char * name); GGML_API struct ggml_tensor * ggml_set_zero(struct ggml_tensor * tensor); @@ -774,6 +810,9 @@ extern "C" { struct ggml_tensor * a, struct ggml_tensor * b); + // dst = a + // view(dst, nb1, nb2, nb3, offset) += b + // return dst GGML_API struct ggml_tensor * ggml_acc( struct ggml_context * ctx, struct ggml_tensor * a, @@ -938,15 +977,14 @@ extern "C" { struct ggml_context * ctx, struct ggml_tensor * a); - GGML_API struct ggml_tensor * ggml_leaky( + GGML_API struct ggml_tensor * ggml_leaky_relu( struct ggml_context * ctx, - struct ggml_tensor * a); + struct ggml_tensor * a, float negative_slope, bool inplace); GGML_API struct ggml_tensor * ggml_relu_inplace( struct ggml_context * ctx, struct ggml_tensor * a); - // TODO: double-check this computation is correct GGML_API struct ggml_tensor * ggml_gelu( struct ggml_context * ctx, struct ggml_tensor * a); @@ -1028,6 +1066,22 @@ extern "C" { struct ggml_tensor * a, struct ggml_tensor * b); + // change the precision of a matrix multiplication + // set to GGML_PREC_F32 for higher precision (useful for phi-2) + GGML_API void ggml_mul_mat_set_prec( + struct ggml_tensor * a, + enum ggml_prec prec); + + // indirect matrix multiplication + // ggml_mul_mat_id(ctx, as, ids, id, b) ~= ggml_mul_mat(as[ids[id]], b) + GGML_API struct ggml_tensor * ggml_mul_mat_id( + struct ggml_context * ctx, + struct ggml_tensor * const as[], + int n_as, + struct ggml_tensor * ids, + int id, + struct ggml_tensor * b); + // A: m columns, n rows, // B: p columns, n rows, // result is m columns, p rows @@ -1043,13 +1097,13 @@ extern "C" { GGML_API struct ggml_tensor * ggml_scale( struct ggml_context * ctx, struct ggml_tensor * a, - struct ggml_tensor * b); + float s); // in-place, returns view(a) GGML_API struct ggml_tensor * ggml_scale_inplace( struct ggml_context * ctx, struct ggml_tensor * a, - struct ggml_tensor * b); + float s); // b -> view(a,offset,nb1,nb2,3), return modified a GGML_API struct ggml_tensor * ggml_set( @@ -1235,6 +1289,7 @@ extern "C" { struct ggml_context * ctx, struct ggml_tensor * a); + // supports 3D: a->ne[2] == b->ne[1] GGML_API struct ggml_tensor * ggml_get_rows( struct ggml_context * ctx, struct ggml_tensor * a, @@ -1283,6 +1338,14 @@ extern "C" { struct ggml_context * ctx, struct ggml_tensor * a); + // fused soft_max(a*scale + mask) + // mask is optional + GGML_API struct ggml_tensor * ggml_soft_max_ext( + struct ggml_context * ctx, + struct ggml_tensor * a, + struct ggml_tensor * mask, + float scale); + GGML_API struct ggml_tensor * ggml_soft_max_back( struct ggml_context * ctx, struct ggml_tensor * a, @@ -1513,6 +1576,32 @@ extern "C" { struct ggml_tensor * a, int scale_factor); + // pad each dimension with zeros: [x, ..., x] -> [x, ..., x, 0, ..., 0] + GGML_API struct ggml_tensor * ggml_pad( + struct ggml_context * ctx, + struct ggml_tensor * a, + int p0, + int p1, + int p2, + int p3); + + // sort rows + enum ggml_sort_order { + GGML_SORT_ASC, + GGML_SORT_DESC, + }; + + GGML_API struct ggml_tensor * ggml_argsort( + struct ggml_context * ctx, + struct ggml_tensor * a, + enum ggml_sort_order order); + + // top k elements per row + GGML_API struct ggml_tensor * ggml_top_k( + struct ggml_context * ctx, + struct ggml_tensor * a, + int k); + GGML_API struct ggml_tensor * ggml_flash_attn( struct ggml_context * ctx, struct ggml_tensor * q, @@ -1574,7 +1663,6 @@ extern "C" { int kh); // used in sam - GGML_API struct ggml_tensor * ggml_add_rel_pos( struct ggml_context * ctx, struct ggml_tensor * a, @@ -1749,7 +1837,7 @@ extern "C" { GGML_API struct ggml_cgraph * ggml_new_graph (struct ggml_context * ctx); // size = GGML_DEFAULT_GRAPH_SIZE, grads = false GGML_API struct ggml_cgraph * ggml_new_graph_custom (struct ggml_context * ctx, size_t size, bool grads); GGML_API struct ggml_cgraph * ggml_graph_dup (struct ggml_context * ctx, struct ggml_cgraph * cgraph); - GGML_API struct ggml_cgraph * ggml_graph_view (struct ggml_context * ctx, struct ggml_cgraph * cgraph, int i0, int i1); + GGML_API struct ggml_cgraph ggml_graph_view (struct ggml_cgraph * cgraph, int i0, int i1); GGML_API void ggml_graph_cpy (struct ggml_cgraph * src, struct ggml_cgraph * dst); GGML_API void ggml_graph_reset (struct ggml_cgraph * cgraph); // zero grads GGML_API void ggml_graph_clear (struct ggml_cgraph * cgraph); @@ -2045,14 +2133,16 @@ extern "C" { GGML_API double gguf_get_val_f64 (const struct gguf_context * ctx, int key_id); GGML_API bool gguf_get_val_bool(const struct gguf_context * ctx, int key_id); GGML_API const char * gguf_get_val_str (const struct gguf_context * ctx, int key_id); + GGML_API const void * gguf_get_val_data(const struct gguf_context * ctx, int key_id); GGML_API int gguf_get_arr_n (const struct gguf_context * ctx, int key_id); GGML_API const void * gguf_get_arr_data(const struct gguf_context * ctx, int key_id); GGML_API const char * gguf_get_arr_str (const struct gguf_context * ctx, int key_id, int i); - GGML_API int gguf_get_n_tensors (const struct gguf_context * ctx); - GGML_API int gguf_find_tensor (const struct gguf_context * ctx, const char * name); - GGML_API size_t gguf_get_tensor_offset(const struct gguf_context * ctx, int i); - GGML_API char * gguf_get_tensor_name (const struct gguf_context * ctx, int i); + GGML_API int gguf_get_n_tensors (const struct gguf_context * ctx); + GGML_API int gguf_find_tensor (const struct gguf_context * ctx, const char * name); + GGML_API size_t gguf_get_tensor_offset(const struct gguf_context * ctx, int i); + GGML_API char * gguf_get_tensor_name (const struct gguf_context * ctx, int i); + GGML_API enum ggml_type gguf_get_tensor_type (const struct gguf_context * ctx, int i); // overrides existing values or adds a new one GGML_API void gguf_set_val_u8 (struct gguf_context * ctx, const char * key, uint8_t val); diff --git a/models/download-ggml-model.sh b/models/download-ggml-model.sh index 9c0119c3df9..c976d2fb4de 100755 --- a/models/download-ggml-model.sh +++ b/models/download-ggml-model.sh @@ -19,7 +19,7 @@ function get_script_path() { fi } -models_path="$(get_script_path)" +models_path="${2:-$(get_script_path)}" # Whisper models models=( @@ -43,7 +43,7 @@ models=( "large-v1" "large-v2" "large-v3" - "large-q5_0" + "large-v3-q5_0" ) # list available models @@ -56,8 +56,8 @@ function list_models { printf "\n\n" } -if [ "$#" -ne 1 ]; then - printf "Usage: $0 \n" +if [ "$#" -lt 1 ] || [ "$#" -gt 2 ]; then + printf "Usage: $0 [models_path]\n" list_models exit 1 @@ -105,7 +105,7 @@ if [ $? -ne 0 ]; then exit 1 fi -printf "Done! Model '$model' saved in 'models/ggml-$model.bin'\n" +printf "Done! Model '$model' saved in '$models_path/ggml-$model.bin'\n" printf "You can now use it like this:\n\n" -printf " $ ./main -m models/ggml-$model.bin -f samples/jfk.wav\n" +printf " $ ./main -m $models_path/ggml-$model.bin -f samples/jfk.wav\n" printf "\n" diff --git a/openvino/whisper-openvino-encoder.cpp b/openvino/whisper-openvino-encoder.cpp index 11aef39dd43..4d9ce122858 100644 --- a/openvino/whisper-openvino-encoder.cpp +++ b/openvino/whisper-openvino-encoder.cpp @@ -64,15 +64,15 @@ int whisper_openvino_encode( return 0; } - if (mel->n_dims != 2) { + if (ggml_n_dims(mel) != 2) { fprintf(stderr, "%s: Error! mel ggml_tensor expected to have n_dims=2, but it has n_dims=%d\n", - __func__, mel->n_dims); + __func__, ggml_n_dims(mel)); return 0; } - if (out->n_dims != 2) { + if (ggml_n_dims(out) != 2) { fprintf(stderr, "%s: Error! out ggml_tensor expected to have n_dims=2, but it has n_dims=%d\n", - __func__, out->n_dims); + __func__, ggml_n_dims(out)); return 0; } @@ -105,4 +105,4 @@ int whisper_openvino_encode( } return 1; -} \ No newline at end of file +} diff --git a/whisper.cpp b/whisper.cpp index 971b8e6f4d7..5c6441012bd 100644 --- a/whisper.cpp +++ b/whisper.cpp @@ -122,9 +122,18 @@ WHISPER_ATTRIBUTE_FORMAT(2, 3) static void whisper_log_internal (ggml_log_level level, const char * format, ...); static void whisper_log_callback_default(ggml_log_level level, const char * text, void * user_data); -#define WHISPER_LOG_INFO(...) whisper_log_internal(GGML_LOG_LEVEL_INFO , __VA_ARGS__) -#define WHISPER_LOG_WARN(...) whisper_log_internal(GGML_LOG_LEVEL_WARN , __VA_ARGS__) #define WHISPER_LOG_ERROR(...) whisper_log_internal(GGML_LOG_LEVEL_ERROR, __VA_ARGS__) +#define WHISPER_LOG_WARN(...) whisper_log_internal(GGML_LOG_LEVEL_WARN , __VA_ARGS__) +#define WHISPER_LOG_INFO(...) whisper_log_internal(GGML_LOG_LEVEL_INFO , __VA_ARGS__) + +// define this to enable verbose trace logging - useful for debugging purposes +// #define WHISPER_DEBUG + +#if defined(WHISPER_DEBUG) +#define WHISPER_LOG_DEBUG(...) whisper_log_internal(GGML_LOG_LEVEL_DEBUG, __VA_ARGS__) +#else +#define WHISPER_LOG_DEBUG(...) +#endif #define WHISPER_ASSERT(x) \ do { \ @@ -134,18 +143,6 @@ static void whisper_log_callback_default(ggml_log_level level, const char * text } \ } while (0) -// define this to enable verbose trace logging - useful for debugging purposes -//#define WHISPER_DEBUG - -#if defined(WHISPER_DEBUG) -#define WHISPER_PRINT_DEBUG(...) \ - do { \ - fprintf(stderr, __VA_ARGS__); \ - } while (0) -#else -#define WHISPER_PRINT_DEBUG(...) -#endif - //#define WHISPER_USE_FLASH_ATTN //#define WHISPER_USE_FLASH_FF #define WHISPER_MAX_DECODERS 8 @@ -487,8 +484,8 @@ static size_t whisper_allocr_size(struct whisper_allocr & allocr) { // measure the memory usage of a graph and prepare the allocr's internal data buffer static void whisper_allocr_graph_init(struct whisper_allocr & allocr, ggml_backend_t backend, std::function && get_graph) { - auto & alloc = allocr.alloc; - auto & meta = allocr.meta; + auto & alloc = allocr.alloc; + auto & meta = allocr.meta; alloc = ggml_allocr_new_measure_from_backend(backend); @@ -1063,7 +1060,7 @@ static ggml_backend_t whisper_backend_init(const whisper_context_params & params #ifdef GGML_USE_CUBLAS if (params.use_gpu && ggml_cublas_loaded()) { WHISPER_LOG_INFO("%s: using CUDA backend\n", __func__); - backend_gpu = ggml_backend_cuda_init(); + backend_gpu = ggml_backend_cuda_init(0); if (!backend_gpu) { WHISPER_LOG_ERROR("%s: ggml_backend_cuda_init() failed\n", __func__); } @@ -1077,8 +1074,7 @@ static ggml_backend_t whisper_backend_init(const whisper_context_params & params backend_gpu = ggml_backend_metal_init(); if (!backend_gpu) { WHISPER_LOG_ERROR("%s: ggml_backend_metal_init() failed\n", __func__); - } - if (!ggml_backend_metal_supports_family(backend_gpu, 7)) { + } else if (!ggml_backend_metal_supports_family(backend_gpu, 7)) { WHISPER_LOG_ERROR("%s: Metal GPU does not support family 7 - falling back to CPU\n", __func__); ggml_backend_free(backend_gpu); backend_gpu = NULL; @@ -1346,10 +1342,10 @@ static bool whisper_model_load(struct whisper_model_loader * loader, whisper_con model.e_pe = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_audio_state, n_audio_ctx); model.e_conv_1_w = ggml_new_tensor_3d(ctx, vtype, 3, n_mels, n_audio_state); - model.e_conv_1_b = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 2*n_audio_ctx, n_audio_state); + model.e_conv_1_b = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 1, n_audio_state); model.e_conv_2_w = ggml_new_tensor_3d(ctx, vtype, 3, n_audio_state, n_audio_state); - model.e_conv_2_b = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_audio_ctx, n_audio_state); + model.e_conv_2_b = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 1, n_audio_state); model.e_ln_w = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_audio_state); model.e_ln_b = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_audio_state); @@ -1579,29 +1575,25 @@ static bool whisper_model_load(struct whisper_model_loader * loader, whisper_con auto tensor = model.tensors[name.data()]; - const bool is_conv_bias = (name == "encoder.conv1.bias" || name == "encoder.conv2.bias"); - - if (!is_conv_bias) { - if (ggml_nelements(tensor) != nelements) { - WHISPER_LOG_ERROR("%s: tensor '%s' has wrong size in model file\n", __func__, name.data()); - WHISPER_LOG_ERROR("%s: shape: [%d, %d, %d], expected: [%d, %d, %d]\n", - __func__, ne[0], ne[1], ne[2], (int) tensor->ne[0], (int) tensor->ne[1], (int) tensor->ne[2]); - return false; - } + if (ggml_nelements(tensor) != nelements) { + WHISPER_LOG_ERROR("%s: tensor '%s' has wrong size in model file\n", __func__, name.data()); + WHISPER_LOG_ERROR("%s: shape: [%d, %d, %d], expected: [%d, %d, %d]\n", + __func__, ne[0], ne[1], ne[2], (int) tensor->ne[0], (int) tensor->ne[1], (int) tensor->ne[2]); + return false; + } - if (tensor->ne[0] != ne[0] || tensor->ne[1] != ne[1] || tensor->ne[2] != ne[2]) { - WHISPER_LOG_ERROR("%s: tensor '%s' has wrong shape in model file: got [%d, %d, %d], expected [%d, %d, %d]\n", - __func__, name.data(), (int) tensor->ne[0], (int) tensor->ne[1], (int) tensor->ne[2], ne[0], ne[1], ne[2]); - return false; - } + if (tensor->ne[0] != ne[0] || tensor->ne[1] != ne[1] || tensor->ne[2] != ne[2]) { + WHISPER_LOG_ERROR("%s: tensor '%s' has wrong shape in model file: got [%d, %d, %d], expected [%d, %d, %d]\n", + __func__, name.data(), (int) tensor->ne[0], (int) tensor->ne[1], (int) tensor->ne[2], ne[0], ne[1], ne[2]); + return false; + } - const size_t bpe = ggml_type_size(ggml_type(ttype)); + const size_t bpe = ggml_type_size(ggml_type(ttype)); - if ((nelements*bpe)/ggml_blck_size(tensor->type) != ggml_nbytes(tensor)) { - WHISPER_LOG_ERROR("%s: tensor '%s' has wrong size in model file: got %zu, expected %zu\n", - __func__, name.data(), ggml_nbytes(tensor), nelements*bpe); - return false; - } + if ((nelements*bpe)/ggml_blck_size(tensor->type) != ggml_nbytes(tensor)) { + WHISPER_LOG_ERROR("%s: tensor '%s' has wrong size in model file: got %zu, expected %zu\n", + __func__, name.data(), ggml_nbytes(tensor), nelements*bpe); + return false; } ggml_backend_t backend = wctx.backend; @@ -1612,7 +1604,7 @@ static bool whisper_model_load(struct whisper_model_loader * loader, whisper_con #ifdef GGML_USE_METAL || ggml_backend_is_metal(backend) #endif - ) && !is_conv_bias) { + )) { // for the CPU and Metal backend, we can read directly into the tensor loader->read(loader->context, tensor->data, ggml_nbytes(tensor)); BYTESWAP_TENSOR(tensor); @@ -1620,24 +1612,7 @@ static bool whisper_model_load(struct whisper_model_loader * loader, whisper_con // read into a temporary buffer first, then copy to device memory read_buf.resize(ggml_nbytes(tensor)); - // we repeat the 2 bias tensors along dim 0: - // [1, 512] -> [3000, 512] (conv1.bias) - // [1, 512] -> [1500, 512] (conv2.bias) - if (is_conv_bias) { - loader->read(loader->context, read_buf.data(), read_buf.size() / tensor->ne[0]); - - float * data_f32 = (float *) read_buf.data(); - for (int64_t y = 0; y < tensor->ne[1]; ++y) { - const int64_t yy = tensor->ne[1] - y - 1; - const float val = data_f32[yy]; - - for (int64_t x = 0; x < tensor->ne[0]; ++x) { - data_f32[yy*tensor->ne[0] + x] = val; - } - } - } else { - loader->read(loader->context, read_buf.data(), read_buf.size()); - } + loader->read(loader->context, read_buf.data(), read_buf.size()); ggml_backend_tensor_set(tensor, read_buf.data(), 0, ggml_nbytes(tensor)); } @@ -1737,20 +1712,12 @@ static struct ggml_cgraph * whisper_build_graph_conv( // convolution + gelu { cur = ggml_conv_1d_ph(ctx0, model.e_conv_1_w, mel, 1, 1); - if (n_ctx == hparams.n_audio_ctx) { - cur = ggml_add(ctx0, cur, model.e_conv_1_b); - } else { - cur = ggml_add(ctx0, cur, ggml_cont(ctx0, ggml_view_2d(ctx0, model.e_conv_1_b, cur->ne[0], cur->ne[1], model.e_conv_1_b->nb[1], 0))); - } + cur = ggml_add(ctx0, cur, model.e_conv_1_b); cur = ggml_gelu(ctx0, cur); cur = ggml_conv_1d_ph(ctx0, model.e_conv_2_w, cur, 2, 1); - if (n_ctx == hparams.n_audio_ctx) { - cur = ggml_add(ctx0, cur, model.e_conv_2_b); - } else { - cur = ggml_add(ctx0, cur, ggml_cont(ctx0, ggml_view_2d(ctx0, model.e_conv_2_b, cur->ne[0], cur->ne[1], model.e_conv_2_b->nb[1], 0))); - } + cur = ggml_add(ctx0, cur, model.e_conv_2_b); cur = ggml_gelu(ctx0, cur); } @@ -1807,7 +1774,7 @@ static struct ggml_cgraph * whisper_build_graph_encoder( ggml_cgraph * gf = ggml_new_graph_custom(ctx0, WHISPER_MAX_NODES, false); - ggml_allocr * alloc = wstate.alloc_encode.alloc; + //ggml_allocr * alloc = wstate.alloc_encode.alloc; //struct ggml_tensor * cur = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_ctx, n_state); //ggml_allocr_alloc(alloc, cur); @@ -1817,13 +1784,7 @@ static struct ggml_cgraph * whisper_build_graph_encoder( //} struct ggml_tensor * cur = ggml_view_tensor(ctx0, wstate.embd_conv); - struct ggml_tensor * KQscale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - ggml_allocr_alloc(alloc, KQscale); - - if (!ggml_allocr_is_measure(alloc)) { - const float val = 1.0f/sqrtf(float(n_state)/n_head); - ggml_backend_tensor_set(KQscale, &val, 0, sizeof(float)); - } + const float KQscale = 1.0f/sqrtf(float(n_state)/n_head); // =================================================================== // NOTE: experimenting with partial evaluation of the encoder (ignore) @@ -1873,14 +1834,14 @@ static struct ggml_cgraph * whisper_build_graph_encoder( Qcur = ggml_add(ctx0, Qcur, layer.attn_q_b); - //Qcur = ggml_scale(ctx0, Qcur, ggml_new_f32(ctx0, pow(float(n_state)/n_head, -0.25))); + //Qcur = ggml_scale(ctx0, Qcur, pow(float(n_state)/n_head, -0.25)); // note: no bias for Key struct ggml_tensor * Kcur = ggml_mul_mat(ctx0, layer.attn_k_w, cur); - //Kcur = ggml_scale(ctx0, Kcur, ggml_new_f32(ctx0, pow(float(n_state)/n_head, -0.25))); + //Kcur = ggml_scale(ctx0, Kcur, pow(float(n_state)/n_head, -0.25)); struct ggml_tensor * Vcur = ggml_mul_mat(ctx0, layer.attn_v_w, @@ -2062,7 +2023,7 @@ static struct ggml_cgraph * whisper_build_graph_cross( ggml_cgraph * gf = ggml_new_graph(ctx0); - ggml_allocr * alloc = wstate.alloc_cross.alloc; + //ggml_allocr * alloc = wstate.alloc_cross.alloc; //struct ggml_tensor * cur = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_state, n_ctx); //ggml_allocr_alloc(alloc, cur); @@ -2072,13 +2033,7 @@ static struct ggml_cgraph * whisper_build_graph_cross( //} struct ggml_tensor * cur = ggml_view_tensor(ctx0, wstate.embd_enc); - struct ggml_tensor * Kscale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - ggml_allocr_alloc(alloc, Kscale); - - if (!ggml_allocr_is_measure(alloc)) { - const float val = pow(float(n_state) / n_head, -0.25); - ggml_backend_tensor_set(Kscale, &val, 0, sizeof(float)); - } + const float Kscale = pow(float(n_state) / n_head, -0.25); for (int il = 0; il < model.hparams.n_text_layer; ++il) { auto & layer = model.layers_decoder[il]; @@ -2208,7 +2163,7 @@ static struct ggml_cgraph * whisper_build_graph_decoder( const int32_t n_kv = ggml_allocr_is_measure(alloc) ? n_ctx : kv_self.n; const int32_t kv_head = ggml_allocr_is_measure(alloc) ? n_ctx - n_tokens : kv_self.head; - //WHISPER_PRINT_DEBUG("%s: n_past = %d, n_tokens = %d, n_audio_ctx = %d, n_ctx = %d\n", __func__, n_past, n_tokens, n_audio_ctx, n_ctx); + //WHISPER_LOG_DEBUG("%s: n_past = %d, n_tokens = %d, n_audio_ctx = %d, n_ctx = %d\n", __func__, n_past, n_tokens, n_audio_ctx, n_ctx); struct ggml_init_params params = { /*.mem_size =*/ wstate.alloc_decode.meta.size(), @@ -2237,13 +2192,7 @@ static struct ggml_cgraph * whisper_build_graph_decoder( } } - struct ggml_tensor * KQscale = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, 1); - ggml_allocr_alloc(alloc, KQscale); - - if (!ggml_allocr_is_measure(alloc)) { - const float val = pow(float(n_state)/n_head, -0.25); - ggml_backend_tensor_set(KQscale, &val, 0, sizeof(float)); - } + const float KQscale = pow(float(n_state)/n_head, -0.25); struct ggml_tensor * KQ_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, n_kv, n_tokens, 1); ggml_allocr_alloc(alloc, KQ_mask); @@ -4992,7 +4941,7 @@ static void whisper_sequence_score( const auto p = kv.second/(double)cnt; entropy -= p*log(p); - //WHISPER_PRINT_DEBUG("entropy: %d %f %f, count %d\n", kv.first, p, log(p), kv.second); + //WHISPER_LOG_DEBUG("entropy: %d %f %f, count %d\n", kv.first, p, log(p), kv.second); } sequence.entropy = entropy; @@ -5058,6 +5007,7 @@ int whisper_full_with_state( // basically don't process anything that is less than 1.0s // see issue #39: https://github.com/ggerganov/whisper.cpp/issues/39 if (seek_end < seek_start + (params.speed_up ? 50 : 100)) { + WHISPER_LOG_DEBUG("%s: input is too short - %d ms < 1000 ms\n", __func__, (seek_end - seek_start)*10); return 0; } @@ -5246,7 +5196,7 @@ int whisper_full_with_state( n_decoders_cur = std::max(1, n_decoders_cur); - WHISPER_PRINT_DEBUG("\n%s: strategy = %d, decoding with %d decoders, temperature = %.2f\n", __func__, params.strategy, n_decoders_cur, t_cur); + WHISPER_LOG_DEBUG("\n%s: strategy = %d, decoding with %d decoders, temperature = %.2f\n", __func__, params.strategy, n_decoders_cur, t_cur); // TAGS: WHISPER_DECODER_INIT for (int j = 0; j < n_decoders_cur; ++j) { @@ -5290,11 +5240,11 @@ int whisper_full_with_state( prompt.insert(prompt.end(), prompt_init.begin(), prompt_init.end()); // print the prompt - WHISPER_PRINT_DEBUG("\n\n"); + WHISPER_LOG_DEBUG("\n\n"); for (int i = 0; i < (int) prompt.size(); i++) { - WHISPER_PRINT_DEBUG("%s: prompt[%d] = %s\n", __func__, i, ctx->vocab.id_to_token.at(prompt[i]).c_str()); + WHISPER_LOG_DEBUG("%s: prompt[%d] = %s\n", __func__, i, ctx->vocab.id_to_token.at(prompt[i]).c_str()); } - WHISPER_PRINT_DEBUG("\n\n"); + WHISPER_LOG_DEBUG("\n\n"); whisper_kv_cache_clear(state->kv_self); @@ -5442,7 +5392,7 @@ int whisper_full_with_state( whisper_kv_cache_seq_cp(state->kv_self, cur.decoder_idx, WHISPER_MAX_DECODERS + j, -1, -1); - WHISPER_PRINT_DEBUG("%s: beam search: decoder %d: from decoder %d: token = %10s, plog = %8.5f, sum_logprobs = %8.5f\n", + WHISPER_LOG_DEBUG("%s: beam search: decoder %d: from decoder %d: token = %10s, plog = %8.5f, sum_logprobs = %8.5f\n", __func__, j, cur.decoder_idx, ctx->vocab.id_to_token.at(decoder.sequence.tokens.back().id).c_str(), decoder.sequence.tokens.back().plog, decoder.sequence.sum_logprobs_all); } @@ -5485,6 +5435,7 @@ int whisper_full_with_state( // do not allow to go back in time if (has_ts && seek_delta > seek_delta_new && result_len < i) { + WHISPER_LOG_DEBUG("%s: decoder %d: failed due to seek_delta (%d > %d)\n", __func__, j, seek_delta, seek_delta_new); failed = true; // TODO: maybe this is not a failure ? continue; } @@ -5499,7 +5450,7 @@ int whisper_full_with_state( #ifdef WHISPER_DEBUG { const auto tt = token.pt > 0.10 ? ctx->vocab.id_to_token.at(token.tid) : "[?]"; - WHISPER_PRINT_DEBUG("%s: id = %3d, decoder = %d, token = %6d, p = %6.3f, ts = %10s, %6.3f, result_len = %4d '%s'\n", + WHISPER_LOG_DEBUG("%s: id = %3d, decoder = %d, token = %6d, p = %6.3f, ts = %10s, %6.3f, result_len = %4d '%s'\n", __func__, i, j, token.id, token.p, tt.c_str(), token.pt, result_len, ctx->vocab.id_to_token.at(token.id).c_str()); } #endif @@ -5513,6 +5464,7 @@ int whisper_full_with_state( if (seek + seek_delta + 100 >= seek_end) { result_len = i + 1; } else { + WHISPER_LOG_DEBUG("%s: decoder %d failed (result_len = 0)\n", __func__, j); failed = true; continue; } @@ -5523,6 +5475,7 @@ int whisper_full_with_state( seek_delta = 100*WHISPER_CHUNK_SIZE; } + WHISPER_LOG_DEBUG("%s: decoder %d completed\n", __func__, j); completed = true; continue; } @@ -5538,6 +5491,7 @@ int whisper_full_with_state( // sometimes, the decoding can get stuck in a repetition loop // this is an attempt to mitigate such cases - we flag the decoding as failed and use a fallback strategy if (i == n_max - 1 && (result_len == 0 || seek_delta < 100*WHISPER_CHUNK_SIZE/2)) { + WHISPER_LOG_DEBUG("%s: decoder %d: failed due to repetition loop\n", __func__, j); failed = true; continue; } @@ -5579,7 +5533,7 @@ int whisper_full_with_state( continue; } - //WHISPER_PRINT_DEBUG("%s: decoder %d: token %d, seek_delta %d\n", __func__, j, decoder.sequence.tokens.back().id, decoder.seek_delta); + //WHISPER_LOG_DEBUG("%s: decoder %d: token %d, seek_delta %d\n", __func__, j, decoder.sequence.tokens.back().id, decoder.seek_delta); decoder.i_batch = batch.n_tokens; @@ -5659,11 +5613,11 @@ int whisper_full_with_state( decoder.sequence.tokens.resize(decoder.sequence.result_len); whisper_sequence_score(params, decoder.sequence); - WHISPER_PRINT_DEBUG("%s: decoder %2d: score = %8.5f, result_len = %3d, avg_logprobs = %8.5f, entropy = %8.5f\n", + WHISPER_LOG_DEBUG("%s: decoder %2d: score = %8.5f, result_len = %3d, avg_logprobs = %8.5f, entropy = %8.5f\n", __func__, j, decoder.sequence.score, decoder.sequence.result_len, decoder.sequence.avg_logprobs, decoder.sequence.entropy); if (decoder.sequence.result_len > 32 && decoder.sequence.entropy < params.entropy_thold) { - WHISPER_PRINT_DEBUG("%s: decoder %2d: failed due to entropy %8.5f < %8.5f\n", + WHISPER_LOG_DEBUG("%s: decoder %2d: failed due to entropy %8.5f < %8.5f\n", __func__, j, decoder.sequence.entropy, params.entropy_thold); decoder.failed = true; @@ -5678,34 +5632,33 @@ int whisper_full_with_state( } } - WHISPER_PRINT_DEBUG("%s: best decoder = %d\n", __func__, best_decoder_id); + WHISPER_LOG_DEBUG("%s: best decoder = %d\n", __func__, best_decoder_id); } + bool success = true; + // was the decoding successful for the current temperature? // do fallback only if: // - we are not at the last temperature - // - we are not at the end of the audio (3 sec) - if (it != (int) temperatures.size() - 1 && - seek_end - seek > 10*WHISPER_CHUNK_SIZE) { - bool success = true; - + if (it != (int) temperatures.size() - 1) { const auto & decoder = state->decoders[best_decoder_id]; if (decoder.failed || decoder.sequence.avg_logprobs < params.logprob_thold) { + WHISPER_LOG_DEBUG("%s: failed due to avg_logprobs %8.5f < %8.5f\n", __func__, decoder.sequence.avg_logprobs, params.logprob_thold); success = false; state->n_fail_p++; } + } - if (success) { - //for (auto & token : ctx->decoders[best_decoder_id].sequence.tokens) { - // WHISPER_PRINT_DEBUG("%s: token = %d, p = %6.3f, pt = %6.3f, ts = %s, str = %s\n", __func__, token.id, token.p, token.pt, ctx->vocab.id_to_token.at(token.tid).c_str(), ctx->vocab.id_to_token.at(token.id).c_str()); - //} + if (success) { + //for (auto & token : ctx->decoders[best_decoder_id].sequence.tokens) { + // WHISPER_LOG_DEBUG("%s: token = %d, p = %6.3f, pt = %6.3f, ts = %s, str = %s\n", __func__, token.id, token.p, token.pt, ctx->vocab.id_to_token.at(token.tid).c_str(), ctx->vocab.id_to_token.at(token.id).c_str()); + //} - break; - } + break; } - WHISPER_PRINT_DEBUG("\n%s: failed to decode with temperature = %.2f\n", __func__, t_cur); + WHISPER_LOG_DEBUG("\n%s: failed to decode with temperature = %.2f\n", __func__, t_cur); } // output results through a user-provided callback @@ -5717,7 +5670,7 @@ int whisper_full_with_state( const auto & tokens_cur = best_decoder.sequence.tokens; - //WHISPER_PRINT_DEBUG("prompt_init.size() = %d, prompt.size() = %d, result_len = %d, seek_delta = %d\n", prompt_init.size(), prompt.size(), result_len, seek_delta); + //WHISPER_LOG_DEBUG("prompt_init.size() = %d, prompt.size() = %d, result_len = %d, seek_delta = %d\n", prompt_init.size(), prompt.size(), result_len, seek_delta); // update prompt_past prompt_past.clear(); @@ -5837,7 +5790,7 @@ int whisper_full_with_state( // update audio window seek += seek_delta; - WHISPER_PRINT_DEBUG("seek = %d, seek_delta = %d\n", seek, seek_delta); + WHISPER_LOG_DEBUG("seek = %d, seek_delta = %d\n", seek, seek_delta); } } @@ -6154,7 +6107,7 @@ WHISPER_API const char * whisper_bench_memcpy_str(int n_threads) { // multi-thread - for (uint32_t k = 1; k <= n_threads; k++) { + for (int32_t k = 1; k <= n_threads; k++) { char * src = (char *) malloc(size); char * dst = (char *) malloc(size); @@ -6178,13 +6131,13 @@ WHISPER_API const char * whisper_bench_memcpy_str(int n_threads) { const int64_t t0 = ggml_time_us(); std::vector threads(k - 1); - for (uint32_t th = 0; th < k - 1; ++th) { + for (int32_t th = 0; th < k - 1; ++th) { threads[th] = std::thread(helper, th); } helper(k - 1); - for (uint32_t th = 0; th < k - 1; ++th) { + for (int32_t th = 0; th < k - 1; ++th) { threads[th].join(); }