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build.py
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build.py
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#!/usr/bin/env python3
# Copyright (c) 2020-2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import argparse
import logging
import os.path
import multiprocessing
import pathlib
import platform
import shutil
import subprocess
import sys
import traceback
from distutils.dir_util import copy_tree
#
# Build Triton Inference Server.
#
# By default build.py builds the Triton container. The TRITON_VERSION
# file indicates the Triton version and TRITON_VERSION_MAP is used to
# determine the corresponding container version and upstream container
# version (upstream containers are dependencies required by
# Triton). These versions may be overridden. See docs/build.md for
# more information.
# Map from Triton version to corresponding container and component versions.
#
# triton version ->
# (triton container version,
# upstream container version,
# ORT version,
# ORT OpenVINO version (use None to disable OpenVINO in ORT),
# Standalone OpenVINO version (non-windows),
# Standalone OpenVINO version (windows)
# )
#
# Currently the OpenVINO versions used in ORT and standalone must
# match because of the way dlopen works with loading the backends. If
# different versions are used then one backend or the other will
# incorrectly load the other version of the openvino libraries.
#
TRITON_VERSION_MAP = {
'2.12.0dev':
('21.07dev', # triton container
'21.06', # upstream container
'1.8.0', # ORT
'2021.2.200', # ORT OpenVINO
'2021.2') # Standalone OpenVINO
}
EXAMPLE_BACKENDS = ['identity', 'square', 'repeat']
CORE_BACKENDS = ['tensorrt', 'ensemble']
NONCORE_BACKENDS = [
'tensorflow1', 'tensorflow2', 'onnxruntime', 'python', 'dali', 'pytorch',
'openvino', 'fil'
]
EXAMPLE_REPOAGENTS = ['checksum']
FLAGS = None
def log(msg, force=False):
if force or not FLAGS.quiet:
try:
print(msg, file=sys.stderr)
except Exception:
print('<failed to log>', file=sys.stderr)
def log_verbose(msg):
if FLAGS.verbose:
log(msg, force=True)
def fail(msg):
fail_if(True, msg)
def target_platform():
if FLAGS.target_platform is not None:
return FLAGS.target_platform
return platform.system().lower()
def fail_if(p, msg):
if p:
print('error: {}'.format(msg), file=sys.stderr)
sys.exit(1)
def mkdir(path):
log_verbose('mkdir: {}'.format(path))
pathlib.Path(path).mkdir(parents=True, exist_ok=True)
def rmdir(path):
log_verbose('rmdir: {}'.format(path))
shutil.rmtree(path, ignore_errors=True)
def cpdir(src, dest):
log_verbose('cpdir: {} -> {}'.format(src, dest))
copy_tree(src, dest, preserve_symlinks=1)
def untar(targetdir, tarfile):
log_verbose('untar {} into {}'.format(tarfile, targetdir))
p = subprocess.Popen(['tar', '--strip-components=1', '-xf', tarfile],
cwd=targetdir)
p.wait()
fail_if(p.returncode != 0,
'untar {} into {} failed'.format(tarfile, targetdir))
def gitclone(cwd, repo, tag, subdir):
# If 'tag' starts with "pull/" then it must be of form
# "pull/<pr>/head". We just clone at "main" and then fetch the
# reference onto a new branch we name "tritonbuildref".
if tag.startswith("pull/"):
log_verbose('git clone of repo "{}" at ref "{}"'.format(repo, tag))
p = subprocess.Popen([
'git', 'clone', '--recursive', '--depth=1', '{}/{}.git'.format(
FLAGS.github_organization, repo), subdir
],
cwd=cwd)
p.wait()
fail_if(p.returncode != 0,
'git clone of repo "{}" at branch "main" failed'.format(repo))
log_verbose('git fetch of ref "{}"'.format(tag))
p = subprocess.Popen(
['git', 'fetch', 'origin', '{}:tritonbuildref'.format(tag)],
cwd=os.path.join(cwd, subdir))
p.wait()
fail_if(p.returncode != 0, 'git fetch of ref "{}" failed'.format(tag))
log_verbose('git checkout of tritonbuildref')
p = subprocess.Popen(['git', 'checkout', 'tritonbuildref'],
cwd=os.path.join(cwd, subdir))
p.wait()
fail_if(p.returncode != 0,
'git checkout of branch "tritonbuildref" failed')
else:
log_verbose('git clone of repo "{}" at tag "{}"'.format(repo, tag))
p = subprocess.Popen([
'git', 'clone', '--recursive', '--single-branch', '--depth=1', '-b',
tag, '{}/{}.git'.format(FLAGS.github_organization, repo), subdir
],
cwd=cwd)
p.wait()
fail_if(p.returncode != 0,
'git clone of repo "{}" at tag "{}" failed'.format(repo, tag))
def prebuild_command():
p = subprocess.Popen(FLAGS.container_prebuild_command.split())
p.wait()
fail_if(p.returncode != 0, 'container prebuild cmd failed')
def cmake(cwd, args):
log_verbose('cmake {}'.format(args))
p = subprocess.Popen([
'cmake',
] + args, cwd=cwd)
p.wait()
fail_if(p.returncode != 0, 'cmake failed')
def makeinstall(cwd, target='install'):
log_verbose('make {}'.format(target))
if target_platform() == 'windows':
verbose_flag = '-v:detailed' if FLAGS.verbose else '-clp:ErrorsOnly'
buildtype_flag = '-p:Configuration={}'.format(FLAGS.build_type)
p = subprocess.Popen([
'msbuild.exe', '-m:{}'.format(str(FLAGS.build_parallel)),
verbose_flag, buildtype_flag, '{}.vcxproj'.format(target)
],
cwd=cwd)
else:
verbose_flag = 'VERBOSE=1' if FLAGS.verbose else 'VERBOSE=0'
p = subprocess.Popen(
['make', '-j',
str(FLAGS.build_parallel), verbose_flag, target],
cwd=cwd)
p.wait()
fail_if(p.returncode != 0, 'make {} failed'.format(target))
def cmake_enable(flag):
return 'ON' if flag else 'OFF'
def core_cmake_args(components, backends, install_dir):
cargs = [
'-DCMAKE_BUILD_TYPE={}'.format(FLAGS.build_type),
'-DCMAKE_INSTALL_PREFIX:PATH={}'.format(install_dir),
'-DTRITON_COMMON_REPO_TAG:STRING={}'.format(components['common']),
'-DTRITON_CORE_REPO_TAG:STRING={}'.format(components['core']),
'-DTRITON_BACKEND_REPO_TAG:STRING={}'.format(components['backend']),
'-DTRITON_THIRD_PARTY_REPO_TAG:STRING={}'.format(
components['thirdparty'])
]
cargs.append('-DTRITON_ENABLE_LOGGING:BOOL={}'.format(
cmake_enable(FLAGS.enable_logging)))
cargs.append('-DTRITON_ENABLE_STATS:BOOL={}'.format(
cmake_enable(FLAGS.enable_stats)))
cargs.append('-DTRITON_ENABLE_METRICS:BOOL={}'.format(
cmake_enable(FLAGS.enable_metrics)))
cargs.append('-DTRITON_ENABLE_METRICS_GPU:BOOL={}'.format(
cmake_enable(FLAGS.enable_gpu_metrics)))
cargs.append('-DTRITON_ENABLE_TRACING:BOOL={}'.format(
cmake_enable(FLAGS.enable_tracing)))
cargs.append('-DTRITON_ENABLE_NVTX:BOOL={}'.format(
cmake_enable(FLAGS.enable_nvtx)))
cargs.append('-DTRITON_ENABLE_GPU:BOOL={}'.format(
cmake_enable(FLAGS.enable_gpu)))
cargs.append('-DTRITON_MIN_COMPUTE_CAPABILITY={}'.format(
FLAGS.min_compute_capability))
cargs.append('-DTRITON_ENABLE_GRPC:BOOL={}'.format(
cmake_enable('grpc' in FLAGS.endpoint)))
cargs.append('-DTRITON_ENABLE_HTTP:BOOL={}'.format(
cmake_enable('http' in FLAGS.endpoint)))
cargs.append('-DTRITON_ENABLE_SAGEMAKER:BOOL={}'.format(
cmake_enable('sagemaker' in FLAGS.endpoint)))
cargs.append('-DTRITON_ENABLE_GCS:BOOL={}'.format(
cmake_enable('gcs' in FLAGS.filesystem)))
cargs.append('-DTRITON_ENABLE_S3:BOOL={}'.format(
cmake_enable('s3' in FLAGS.filesystem)))
cargs.append('-DTRITON_ENABLE_AZURE_STORAGE:BOOL={}'.format(
cmake_enable('azure_storage' in FLAGS.filesystem)))
cargs.append('-DTRITON_ENABLE_TENSORFLOW={}'.format(
cmake_enable(('tensorflow1' in backends) or
('tensorflow2' in backends))))
for be in (CORE_BACKENDS + NONCORE_BACKENDS):
if not be.startswith('tensorflow'):
cargs.append('-DTRITON_ENABLE_{}={}'.format(
be.upper(), cmake_enable(be in backends)))
if (be in CORE_BACKENDS) and (be in backends):
if be == 'tensorrt':
cargs += tensorrt_cmake_args()
elif be == 'ensemble':
pass
else:
fail('unknown core backend {}'.format(be))
# If TRITONBUILD_* is defined in the env then we use it to set
# corresponding cmake value.
for evar, eval in os.environ.items():
if evar.startswith('TRITONBUILD_'):
cargs.append('-D{}={}'.format(evar[len('TRITONBUILD_'):], eval))
cargs.append(FLAGS.cmake_dir)
return cargs
def repoagent_repo(ra):
return '{}_repository_agent'.format(ra)
def repoagent_cmake_args(images, components, ra, install_dir):
if ra in EXAMPLE_REPOAGENTS:
args = []
else:
fail('unknown agent {}'.format(ra))
cargs = args + [
'-DCMAKE_BUILD_TYPE={}'.format(FLAGS.build_type),
'-DCMAKE_INSTALL_PREFIX:PATH={}'.format(install_dir),
'-DTRITON_COMMON_REPO_TAG:STRING={}'.format(components['common']),
'-DTRITON_CORE_REPO_TAG:STRING={}'.format(components['core'])
]
cargs.append('-DTRITON_ENABLE_GPU:BOOL={}'.format(
cmake_enable(FLAGS.enable_gpu)))
# If TRITONBUILD_* is defined in the env then we use it to set
# corresponding cmake value.
for evar, eval in os.environ.items():
if evar.startswith('TRITONBUILD_'):
cargs.append('-D{}={}'.format(evar[len('TRITONBUILD_'):], eval))
cargs.append('..')
return cargs
def backend_repo(be):
if (be == 'tensorflow1') or (be == 'tensorflow2'):
return 'tensorflow_backend'
return '{}_backend'.format(be)
def backend_cmake_args(images, components, be, install_dir, library_paths):
if be == 'onnxruntime':
args = onnxruntime_cmake_args(images, library_paths)
elif be == 'openvino':
args = openvino_cmake_args()
elif be == 'tensorflow1':
args = tensorflow_cmake_args(1, images, library_paths)
elif be == 'tensorflow2':
args = tensorflow_cmake_args(2, images, library_paths)
elif be == 'python':
args = []
elif be == 'dali':
args = dali_cmake_args()
elif be == 'pytorch':
args = pytorch_cmake_args(images)
elif be == 'fil':
args = fil_cmake_args(images)
elif be in EXAMPLE_BACKENDS:
args = []
else:
fail('unknown backend {}'.format(be))
cargs = args + [
'-DCMAKE_BUILD_TYPE={}'.format(FLAGS.build_type),
'-DCMAKE_INSTALL_PREFIX:PATH={}'.format(install_dir),
'-DTRITON_COMMON_REPO_TAG:STRING={}'.format(components['common']),
'-DTRITON_CORE_REPO_TAG:STRING={}'.format(components['core']),
'-DTRITON_BACKEND_REPO_TAG:STRING={}'.format(components['backend'])
]
cargs.append('-DTRITON_ENABLE_GPU:BOOL={}'.format(
cmake_enable(FLAGS.enable_gpu)))
# If TRITONBUILD_* is defined in the env then we use it to set
# corresponding cmake value.
for evar, eval in os.environ.items():
if evar.startswith('TRITONBUILD_'):
cargs.append('-D{}={}'.format(evar[len('TRITONBUILD_'):], eval))
cargs.append('..')
return cargs
def pytorch_cmake_args(images):
if "pytorch" in images:
image = images["pytorch"]
else:
image = 'nvcr.io/nvidia/pytorch:{}-py3'.format(
FLAGS.upstream_container_version)
return [
'-DTRITON_PYTORCH_DOCKER_IMAGE={}'.format(image),
]
def onnxruntime_cmake_args(images, library_paths):
cargs = [
'-DTRITON_ENABLE_ONNXRUNTIME_TENSORRT=ON',
'-DTRITON_BUILD_ONNXRUNTIME_VERSION={}'.format(
TRITON_VERSION_MAP[FLAGS.version][2])
]
# If platform is jetpack do not use docker based build
if target_platform() == 'jetpack':
ort_lib_path = library_paths['onnxruntime'] + "/lib"
ort_include_path = library_paths['onnxruntime'] + "/include"
cargs += [
'-DTRITON_ONNXRUNTIME_INCLUDE_PATHS={}'.format(ort_include_path),
'-DTRITON_ONNXRUNTIME_LIB_PATHS={}'.format(ort_lib_path),
'-DTRITON_ENABLE_ONNXRUNTIME_OPENVINO=OFF'
]
else:
if target_platform() == 'windows':
if 'base' in images:
cargs.append('-DTRITON_BUILD_CONTAINER={}'.format(
images['base']))
else:
if 'base' in images:
cargs.append('-DTRITON_BUILD_CONTAINER={}'.format(
images['base']))
else:
cargs.append('-DTRITON_BUILD_CONTAINER_VERSION={}'.format(
TRITON_VERSION_MAP[FLAGS.version][1]))
if TRITON_VERSION_MAP[FLAGS.version][3] is not None:
cargs.append('-DTRITON_ENABLE_ONNXRUNTIME_OPENVINO=ON')
cargs.append(
'-DTRITON_BUILD_ONNXRUNTIME_OPENVINO_VERSION={}'.format(
TRITON_VERSION_MAP[FLAGS.version][3]))
return cargs
def openvino_cmake_args():
cargs = [
'-DTRITON_BUILD_OPENVINO_VERSION={}'.format(
TRITON_VERSION_MAP[FLAGS.version][4]),
]
if target_platform() == 'windows':
if 'base' in images:
cargs.append('-DTRITON_BUILD_CONTAINER={}'.format(images['base']))
else:
if 'base' in images:
cargs.append('-DTRITON_BUILD_CONTAINER={}'.format(images['base']))
else:
cargs.append('-DTRITON_BUILD_CONTAINER_VERSION={}'.format(
TRITON_VERSION_MAP[FLAGS.version][1]))
return cargs
def tensorrt_cmake_args():
if target_platform() == 'windows':
return [
'-DTRITON_TENSORRT_INCLUDE_PATHS=c:/TensorRT/include',
]
return []
def tensorflow_cmake_args(ver, images, library_paths):
backend_name = "tensorflow{}".format(ver)
# If platform is jetpack do not use docker images
extra_args = []
if target_platform() == 'jetpack':
if backend_name in library_paths:
extra_args = [
'-DTRITON_TENSORFLOW_LIB_PATHS={}'.format(
library_paths[backend_name])
]
else:
# If a specific TF image is specified use it, otherwise pull from NGC.
if backend_name in images:
image = images[backend_name]
else:
image = 'nvcr.io/nvidia/tensorflow:{}-tf{}-py3'.format(
FLAGS.upstream_container_version, ver)
extra_args = ['-DTRITON_TENSORFLOW_DOCKER_IMAGE={}'.format(image)]
return ['-DTRITON_TENSORFLOW_VERSION={}'.format(ver)] + extra_args
def dali_cmake_args():
return [
'-DTRITON_DALI_SKIP_DOWNLOAD=OFF',
]
def install_dcgm_libraries():
return '''
# Install DCGM
RUN apt-get update && apt-get install -y --no-install-recommends software-properties-common
RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin \
&& mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600 \
&& apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub \
&& add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
RUN apt-get update \
&& apt-get install -y datacenter-gpu-manager
'''
def fil_cmake_args(images):
cargs = ['-DTRITON_FIL_DOCKER_BUILD=ON']
if 'base' in images:
cargs.append('-DTRITON_BUILD_CONTAINER={}'.format(images['base']))
else:
cargs.append('-DTRITON_BUILD_CONTAINER_VERSION={}'.format(
TRITON_VERSION_MAP[FLAGS.version][1]))
return cargs
def create_dockerfile_buildbase(ddir, dockerfile_name, argmap, backends):
df = '''
ARG TRITON_VERSION={}
ARG TRITON_CONTAINER_VERSION={}
ARG BASE_IMAGE={}
'''.format(argmap['TRITON_VERSION'], argmap['TRITON_CONTAINER_VERSION'],
argmap['BASE_IMAGE'])
df += '''
FROM ${BASE_IMAGE}
ARG TRITON_VERSION
ARG TRITON_CONTAINER_VERSION
'''
# Install the windows- or linux-specific buildbase dependencies
if target_platform() == 'windows':
df += '''
SHELL ["cmd", "/S", "/C"]
'''
else:
df += '''
# Ensure apt-get won't prompt for selecting options
ENV DEBIAN_FRONTEND=noninteractive
# libcurl4-openSSL-dev is needed for GCS
# python3-dev is needed by Torchvision
# python3-pip and libarchive-dev is needed by python backend
# uuid-dev and pkg-config is needed for Azure Storage
RUN apt-get update && \
apt-get install -y --no-install-recommends \
autoconf \
automake \
build-essential \
docker.io \
git \
libre2-dev \
libssl-dev \
libtool \
libboost-dev \
libcurl4-openssl-dev \
libb64-dev \
patchelf \
python3-dev \
python3-pip \
python3-setuptools \
rapidjson-dev \
software-properties-common \
unzip \
wget \
zlib1g-dev \
libarchive-dev \
pkg-config \
uuid-dev && \
rm -rf /var/lib/apt/lists/*
RUN pip3 install --upgrade pip && \
pip3 install --upgrade wheel setuptools docker
# Server build requires recent version of CMake (FetchContent required)
RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | \
gpg --dearmor - | \
tee /etc/apt/trusted.gpg.d/kitware.gpg >/dev/null && \
apt-add-repository 'deb https://apt.kitware.com/ubuntu/ focal main' && \
apt-get update && \
apt-get install -y --no-install-recommends \
cmake-data=3.18.4-0kitware1ubuntu20.04.1 cmake=3.18.4-0kitware1ubuntu20.04.1
'''
# Copy in the triton source. We remove existing contents first in
# case the FROM container has something there already.
if target_platform() == 'windows':
df += '''
WORKDIR /workspace
RUN rmdir /S/Q * || exit 0
COPY . .
'''
else:
df += '''
WORKDIR /workspace
RUN rm -fr *
COPY . .
ENTRYPOINT []
'''
df += install_dcgm_libraries()
df += '''
RUN patch -ruN -d /usr/include/ < /workspace/build/libdcgm/dcgm_api_export.patch
'''
df += '''
ENV TRITON_SERVER_VERSION ${TRITON_VERSION}
ENV NVIDIA_TRITON_SERVER_VERSION ${TRITON_CONTAINER_VERSION}
'''
mkdir(ddir)
with open(os.path.join(ddir, dockerfile_name), "w") as dfile:
dfile.write(df)
def create_dockerfile_build(ddir, dockerfile_name, argmap, backends):
df = '''
FROM tritonserver_builder_image AS build
FROM tritonserver_buildbase
COPY --from=build /tmp/tritonbuild /tmp/tritonbuild
'''
if 'onnxruntime' in backends:
if target_platform() != 'windows':
df += '''
# Copy ONNX custom op library and model (needed for testing)
RUN if [ -d /tmp/tritonbuild/onnxruntime ]; then \
cp /tmp/tritonbuild/onnxruntime/install/test/libcustom_op_library.so /workspace/qa/L0_custom_ops/.; \
cp /tmp/tritonbuild/onnxruntime/install/test/custom_op_test.onnx /workspace/qa/L0_custom_ops/.; \
fi
'''
mkdir(ddir)
with open(os.path.join(ddir, dockerfile_name), "w") as dfile:
dfile.write(df)
def create_dockerfile_linux(ddir, dockerfile_name, argmap, backends, repoagents,
endpoints):
df = '''
#
# Multistage build.
#
ARG TRITON_VERSION={}
ARG TRITON_CONTAINER_VERSION={}
ARG BASE_IMAGE={}
ARG BUILD_IMAGE=tritonserver_build
############################################################################
## Build image
############################################################################
FROM ${{BUILD_IMAGE}} AS tritonserver_build
############################################################################
## Production stage: Create container with just inference server executable
############################################################################
FROM ${{BASE_IMAGE}}
ARG TRITON_VERSION
ARG TRITON_CONTAINER_VERSION
ENV TRITON_SERVER_VERSION ${{TRITON_VERSION}}
ENV NVIDIA_TRITON_SERVER_VERSION ${{TRITON_CONTAINER_VERSION}}
ENV TRITON_SERVER_VERSION ${{TRITON_VERSION}}
ENV NVIDIA_TRITON_SERVER_VERSION ${{TRITON_CONTAINER_VERSION}}
LABEL com.nvidia.tritonserver.version="${{TRITON_SERVER_VERSION}}"
ENV PATH /opt/tritonserver/bin:${{PATH}}
'''.format(argmap['TRITON_VERSION'], argmap['TRITON_CONTAINER_VERSION'],
argmap['BASE_IMAGE'])
df += '''
ENV TF_ADJUST_HUE_FUSED 1
ENV TF_ADJUST_SATURATION_FUSED 1
ENV TF_ENABLE_WINOGRAD_NONFUSED 1
ENV TF_AUTOTUNE_THRESHOLD 2
# Create a user that can be used to run triton as
# non-root. Make sure that this user to given ID 1000. All server
# artifacts copied below are assign to this user.
ENV TRITON_SERVER_USER=triton-server
RUN userdel tensorrt-server > /dev/null 2>&1 || true && \
if ! id -u $TRITON_SERVER_USER > /dev/null 2>&1 ; then \
useradd $TRITON_SERVER_USER; \
fi && \
[ `id -u $TRITON_SERVER_USER` -eq 1000 ] && \
[ `id -g $TRITON_SERVER_USER` -eq 1000 ]
# Ensure apt-get won't prompt for selecting options
ENV DEBIAN_FRONTEND=noninteractive
# Common dependencies. FIXME (can any of these be conditional? For
# example libcurl only needed for GCS?)
RUN apt-get update && \
apt-get install -y --no-install-recommends \
libb64-0d \
libcurl4-openssl-dev \
libre2-5 && \
rm -rf /var/lib/apt/lists/*
'''
df += install_dcgm_libraries()
# Add dependencies needed for python backend
if 'python' in backends:
df += '''
# python3, python3-pip and some pip installs required for the python backend
RUN apt-get update && \
apt-get install -y --no-install-recommends \
python3 libarchive-dev \
python3-pip && \
pip3 install --upgrade pip && \
pip3 install --upgrade wheel setuptools && \
pip3 install --upgrade numpy && \
rm -rf /var/lib/apt/lists/*
'''
df += '''
WORKDIR /opt/tritonserver
RUN rm -fr /opt/tritonserver/*
COPY --chown=1000:1000 LICENSE .
COPY --chown=1000:1000 TRITON_VERSION .
COPY --chown=1000:1000 NVIDIA_Deep_Learning_Container_License.pdf .
COPY --chown=1000:1000 --from=tritonserver_build /tmp/tritonbuild/install/bin/tritonserver bin/
COPY --chown=1000:1000 --from=tritonserver_build /tmp/tritonbuild/install/lib/libtritonserver.so lib/
COPY --chown=1000:1000 --from=tritonserver_build /tmp/tritonbuild/install/include/triton/core include/triton/core
# Top-level include/core not copied so --chown does not set it correctly,
# so explicit set on all of include
RUN chown -R triton-server:triton-server include
'''
for noncore in NONCORE_BACKENDS:
if noncore in backends:
df += '''
COPY --chown=1000:1000 --from=tritonserver_build /tmp/tritonbuild/install/backends backends
'''
break
if len(repoagents) > 0:
df += '''
COPY --chown=1000:1000 --from=tritonserver_build /tmp/tritonbuild/install/repoagents repoagents
'''
df += '''
# Extra defensive wiring for CUDA Compat lib
RUN ln -sf ${{_CUDA_COMPAT_PATH}}/lib.real ${{_CUDA_COMPAT_PATH}}/lib \
&& echo ${{_CUDA_COMPAT_PATH}}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf \
&& ldconfig \
&& rm -f ${{_CUDA_COMPAT_PATH}}/lib
COPY --chown=1000:1000 nvidia_entrypoint.sh /opt/tritonserver
ENTRYPOINT ["/opt/tritonserver/nvidia_entrypoint.sh"]
ENV NVIDIA_BUILD_ID {}
LABEL com.nvidia.build.id={}
LABEL com.nvidia.build.ref={}
'''.format(argmap['NVIDIA_BUILD_ID'], argmap['NVIDIA_BUILD_ID'],
argmap['NVIDIA_BUILD_REF'])
# Add feature labels for SageMaker endpoint
if 'sagemaker' in endpoints:
df += '''
LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
COPY --chown=1000:1000 --from=tritonserver_build /workspace/build/sagemaker/serve /usr/bin/.
'''
mkdir(ddir)
with open(os.path.join(ddir, dockerfile_name), "w") as dfile:
dfile.write(df)
def create_dockerfile_windows(ddir, dockerfile_name, argmap, backends,
repoagents):
df = '''
#
# Multistage build.
#
ARG TRITON_VERSION={}
ARG TRITON_CONTAINER_VERSION={}
ARG BASE_IMAGE={}
ARG BUILD_IMAGE=tritonserver_build
############################################################################
## Build image
############################################################################
FROM ${{BUILD_IMAGE}} AS tritonserver_build
############################################################################
## Production stage: Create container with just inference server executable
############################################################################
FROM ${{BASE_IMAGE}}
ARG TRITON_VERSION
ARG TRITON_CONTAINER_VERSION
ENV TRITON_SERVER_VERSION ${{TRITON_VERSION}}
ENV NVIDIA_TRITON_SERVER_VERSION ${{TRITON_CONTAINER_VERSION}}
ENV TRITON_SERVER_VERSION ${{TRITON_VERSION}}
ENV NVIDIA_TRITON_SERVER_VERSION ${{TRITON_CONTAINER_VERSION}}
LABEL com.nvidia.tritonserver.version="${{TRITON_SERVER_VERSION}}"
RUN setx path "%path%;C:\opt\tritonserver\bin"
'''.format(argmap['TRITON_VERSION'], argmap['TRITON_CONTAINER_VERSION'],
argmap['BASE_IMAGE'])
df += '''
WORKDIR /opt/tritonserver
RUN rmdir /S/Q * || exit 0
COPY LICENSE .
COPY TRITON_VERSION .
COPY NVIDIA_Deep_Learning_Container_License.pdf .
COPY --from=tritonserver_build /tmp/tritonbuild/install/bin bin
COPY --from=tritonserver_build /tmp/tritonbuild/install/lib/tritonserver.lib lib/
COPY --from=tritonserver_build /tmp/tritonbuild/install/include/triton/core include/triton/core
'''
for noncore in NONCORE_BACKENDS:
if noncore in backends:
df += '''
COPY --from=tritonserver_build /tmp/tritonbuild/install/backends backends
'''
break
df += '''
ENTRYPOINT []
ENV NVIDIA_BUILD_ID {}
LABEL com.nvidia.build.id={}
LABEL com.nvidia.build.ref={}
'''.format(argmap['NVIDIA_BUILD_ID'], argmap['NVIDIA_BUILD_ID'],
argmap['NVIDIA_BUILD_REF'])
mkdir(ddir)
with open(os.path.join(ddir, dockerfile_name), "w") as dfile:
dfile.write(df)
def container_build(images, backends, repoagents, endpoints):
# The cmake, build and install directories within the container.
build_dir = os.path.join(os.sep, 'tmp', 'tritonbuild')
install_dir = os.path.join(os.sep, 'tmp', 'tritonbuild', 'install')
if target_platform() == 'windows':
cmake_dir = os.path.normpath('c:/workspace/build')
else:
cmake_dir = '/workspace/build'
# We can't use docker module for building container because it
# doesn't stream output and it also seems to handle cache-from
# incorrectly which leads to excessive rebuilds in the multistage
# build.
if 'base' in images:
base_image = images['base']
elif target_platform() == 'windows':
base_image = 'mcr.microsoft.com/dotnet/framework/sdk:4.8'
else:
base_image = 'nvcr.io/nvidia/tritonserver:{}-py3-min'.format(
FLAGS.upstream_container_version)
dockerfileargmap = {
'NVIDIA_BUILD_REF':
'' if FLAGS.build_sha is None else FLAGS.build_sha,
'NVIDIA_BUILD_ID':
'<unknown>' if FLAGS.build_id is None else FLAGS.build_id,
'TRITON_VERSION':
FLAGS.version,
'TRITON_CONTAINER_VERSION':
FLAGS.container_version,
'BASE_IMAGE':
base_image,
}
cachefrommap = [
'tritonserver_buildbase', 'tritonserver_buildbase_cache0',
'tritonserver_buildbase_cache1'
]
cachefromargs = ['--cache-from={}'.format(k) for k in cachefrommap]
commonargs = [
'docker', 'build', '-f',
os.path.join(FLAGS.build_dir, 'Dockerfile.buildbase')
]
if not FLAGS.no_container_pull:
commonargs += [
'--pull',
]
log_verbose('buildbase container {}'.format(commonargs + cachefromargs))
create_dockerfile_buildbase(FLAGS.build_dir, 'Dockerfile.buildbase',
dockerfileargmap, backends)
try:
# Create buildbase image, this is an image with all
# dependencies needed for the build.
p = subprocess.Popen(commonargs + cachefromargs +
['-t', 'tritonserver_buildbase', '.'])
p.wait()
fail_if(p.returncode != 0, 'docker build tritonserver_buildbase failed')
# Before attempting to run the new image, make sure any
# previous 'tritonserver_builder' container is removed.
client = docker.from_env(timeout=3600)
try:
existing = client.containers.get('tritonserver_builder')
existing.remove(force=True)
except docker.errors.NotFound:
pass # ignore
# Next run build.py inside the container with the same flags
# as was used to run this instance, except:
#
# --no-container-build is added so that within the buildbase
# container we just created we do not attempt to do a nested
# container build
#
# Add --version, --container-version and
# --upstream-container-version flags since they can be set
# automatically and so may not be in sys.argv
#
# --cmake-dir is overridden to 'cmake_dir'
#
# --build-dir is added/overridden to 'build_dir'
#
# --install-dir is added/overridden to 'install_dir'
runargs = [
'python3',
'./build.py',
]
runargs += sys.argv[1:]
runargs += [
'--no-container-build',
]
if FLAGS.version is not None:
runargs += ['--version', FLAGS.version]
if FLAGS.container_version is not None:
runargs += ['--container-version', FLAGS.container_version]
if FLAGS.upstream_container_version is not None:
runargs += [
'--upstream-container-version', FLAGS.upstream_container_version
]
runargs += ['--cmake-dir', cmake_dir]
runargs += ['--build-dir', build_dir]
runargs += ['--install-dir', install_dir]
dockerrunargs = [
'docker', 'run', '--name', 'tritonserver_builder', '-w',
'/workspace'
]
if target_platform() == 'windows':
dockerrunargs += [
'-v', '\\\\.\pipe\docker_engine:\\\\.\pipe\docker_engine'
]
else:
dockerrunargs += ['-v', '/var/run/docker.sock:/var/run/docker.sock']
dockerrunargs += [
'tritonserver_buildbase',
]
dockerrunargs += runargs
log_verbose(dockerrunargs)
p = subprocess.Popen(dockerrunargs)
p.wait()
fail_if(p.returncode != 0, 'docker run tritonserver_builder failed')
container = client.containers.get('tritonserver_builder')
# It is possible to copy the install artifacts from the
# container at this point (and, for example put them in the
# specified install directory on the host). But for container
# build we just want to use the artifacts in the server base
# container which is created below.
#mkdir(FLAGS.install_dir)
#tarfilename = os.path.join(FLAGS.install_dir, 'triton.tar')
#install_tar, stat_tar = container.get_archive(install_dir)
#with open(tarfilename, 'wb') as taroutfile:
# for d in install_tar:
# taroutfile.write(d)
#untar(FLAGS.install_dir, tarfilename)
# Build is complete, save the container as the
# tritonserver_build image. We must to this in two steps:
#
# 1. Commit the container as image
# "tritonserver_builder_image". This image can't be used
# directly because it binds the /var/run/docker.sock mount
# and so you would need to always run with that mount
# specified... so it can be used this way but very
# inconvenient.
#
# 2. Perform a docker build to create "tritonserver_build"
# from "tritonserver_builder_image" that is essentially
# identical but removes the mount.
try:
client.images.remove('tritonserver_builder_image', force=True)
except docker.errors.ImageNotFound:
pass # ignore
container.commit('tritonserver_builder_image', 'latest')
container.remove(force=True)
create_dockerfile_build(FLAGS.build_dir, 'Dockerfile.build',
dockerfileargmap, backends)
p = subprocess.Popen([
'docker', 'build', '-t', 'tritonserver_build', '-f',
os.path.join(FLAGS.build_dir, 'Dockerfile.build'), '.'
])
p.wait()
fail_if(p.returncode != 0, 'docker build tritonserver_build failed')
# Final base image... this is a multi-stage build that uses
# the install artifacts from the tritonserver_build
# container.
if target_platform() == 'windows':
create_dockerfile_windows(FLAGS.build_dir, 'Dockerfile',
dockerfileargmap, backends, repoagents)
else:
create_dockerfile_linux(FLAGS.build_dir, 'Dockerfile',
dockerfileargmap, backends, repoagents,
endpoints)
p = subprocess.Popen([
'docker', 'build', '-f',
os.path.join(FLAGS.build_dir, 'Dockerfile')
] + ['-t', 'tritonserver', '.'])