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setup.py
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setup.py
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# Copyright (c) 2023, Tri Dao.
import sys
import warnings
import os
import re
import ast
from pathlib import Path
import platform
from setuptools import setup, find_packages
from setuptools_cuda_cpp import CUDAExtension, BuildExtension, fix_dll
import pybind11
import subprocess
import urllib.request
import urllib.error
from wheel.bdist_wheel import bdist_wheel as _bdist_wheel
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
# ninja build does not work unless include_dirs are abs path
this_dir = os.path.dirname(os.path.abspath(__file__))
PACKAGE_NAME = "flash_attn_jax"
# BASE_WHEEL_URL = (
# "https://github.com/Dao-AILab/flash-attention/releases/download/{tag_name}/{wheel_name}"
# )
# # FORCE_BUILD: Force a fresh build locally, instead of attempting to find prebuilt wheels
# # SKIP_CUDA_BUILD: Intended to allow CI to use a simple `python setup.py sdist` run to copy over raw files, without any cuda compilation
# FORCE_BUILD = os.getenv("FLASH_ATTENTION_FORCE_BUILD", "FALSE") == "TRUE"
# SKIP_CUDA_BUILD = os.getenv("FLASH_ATTENTION_SKIP_CUDA_BUILD", "FALSE") == "TRUE"
# # For CI, we want the option to build with C++11 ABI since the nvcr images use C++11 ABI
# FORCE_CXX11_ABI = os.getenv("FLASH_ATTENTION_FORCE_CXX11_ABI", "FALSE") == "TRUE"
def get_platform():
"""
Returns the platform name as used in wheel filenames.
"""
if sys.platform.startswith("linux"):
return "linux_x86_64"
elif sys.platform == "darwin":
mac_version = ".".join(platform.mac_ver()[0].split(".")[:2])
return f"macosx_{mac_version}_x86_64"
elif sys.platform == "win32":
return "win_amd64"
else:
raise ValueError("Unsupported platform: {}".format(sys.platform))
def locate_cuda():
if 'sdist' in sys.argv:
return None
cuda_dir = os.environ.get("CUDA_HOME", None)
if cuda_dir is None:
if os.path.exists("/usr/local/cuda"):
cuda_dir = "/usr/local/cuda"
os.environ["CUDA_HOME"] = cuda_dir
elif os.path.exists("/opt/cuda"):
cuda_dir = "/opt/cuda"
os.environ["CUDA_HOME"] = cuda_dir
else:
raise RuntimeError("CUDA_HOME not set and no CUDA installation found")
return cuda_dir
def get_cuda_version():
cuda_dir = locate_cuda()
if cuda_dir is None:
return ""
raw_output = subprocess.check_output([cuda_dir + "/bin/nvcc", "-V"], universal_newlines=True)
output = raw_output.split()
release_idx = output.index("release") + 1
version = output[release_idx].split(",")[0].split('.')[0] # should be 11 or 12
return version
def append_nvcc_threads(nvcc_extra_args):
return nvcc_extra_args + ["--threads", "4"]
cmdclass = {}
ext_modules = []
# We want this even if SKIP_CUDA_BUILD because when we run python setup.py sdist we want the .hpp
# files included in the source distribution, in case the user compiles from source.
subprocess.run(["git", "submodule", "update", "--init", "csrc/cutlass"])
SKIP_CUDA_BUILD = False
cuda12 = get_cuda_version() != "11"
# CUDA_HOME = find_cuda_home()
if not SKIP_CUDA_BUILD:
cc_flag = []
# cc_flag.append("-gencode")
# cc_flag.append("arch=compute_75,code=sm_75")
cc_flag.append("-gencode")
cc_flag.append("arch=compute_80,code=sm_80")
if cuda12:
cc_flag.append("-gencode")
cc_flag.append("arch=compute_90,code=sm_90")
ext_modules.append(
CUDAExtension(
name="flash_attn_jax_lib.flash_api",
sources=[
"csrc/flash_attn/flash_api.cpp",
"csrc/flash_attn/flash_common.cpp",
"csrc/flash_attn/mha_fwd.cpp",
"csrc/flash_attn/mha_bwd.cpp",
"csrc/flash_attn/src/flash_fwd_hdim32_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim32_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim64_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim64_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim96_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim96_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim128_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim128_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim160_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim160_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim192_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim192_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim224_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim224_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim256_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_hdim256_bf16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim32_fp16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim32_bf16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim64_fp16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim64_bf16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim96_fp16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim96_bf16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim128_fp16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim128_bf16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim160_fp16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim160_bf16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim192_fp16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim192_bf16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim224_fp16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim224_bf16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim256_fp16_sm80.cu",
"csrc/flash_attn/src/flash_bwd_hdim256_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim32_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim32_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim64_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim64_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim96_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim96_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim128_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim128_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim160_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim160_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim192_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim192_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim224_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim224_bf16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim256_fp16_sm80.cu",
"csrc/flash_attn/src/flash_fwd_split_hdim256_bf16_sm80.cu",
],
extra_compile_args = {
"cxx": ["-O3", "-std=c++17"],
"nvcc": append_nvcc_threads(
[
"-O3",
"-std=c++17",
"-U__CUDA_NO_HALF_OPERATORS__",
"-U__CUDA_NO_HALF_CONVERSIONS__",
"-U__CUDA_NO_HALF2_OPERATORS__",
"-U__CUDA_NO_BFLOAT16_CONVERSIONS__",
"-DFLASHATTENTION_DISABLE_DROPOUT=1",
"--expt-relaxed-constexpr",
"--expt-extended-lambda",
"--use_fast_math",
# "--ptxas-options=-v",
# "--ptxas-options=-O2",
# "-lineinfo",
]
+ cc_flag)
},
include_dirs=[
Path(this_dir) / "csrc" / "flash_attn",
Path(this_dir) / "csrc" / "flash_attn" / "src",
Path(this_dir) / "csrc" / "cutlass" / "include",
pybind11.get_include()
],
)
)
def get_package_version():
with open(Path(this_dir) / "src" / "flash_attn_jax" / "__init__.py", "r") as f:
version_match = re.search(r"^__version__\s*=\s*(.*)$", f.read(), re.MULTILINE)
public_version = ast.literal_eval(version_match.group(1))
return public_version
class NinjaBuildExtension(BuildExtension):
def __init__(self, *args, **kwargs) -> None:
# do not override env MAX_JOBS if already exists
if not os.environ.get("MAX_JOBS"):
import psutil
# calculate the maximum allowed NUM_JOBS based on cores
max_num_jobs_cores = max(1, os.cpu_count() // 2)
# calculate the maximum allowed NUM_JOBS based on free memory
free_memory_gb = psutil.virtual_memory().available / (1024 ** 3) # free memory in GB
max_num_jobs_memory = int(free_memory_gb / 9) # each JOB peak memory cost is ~8-9GB when threads = 4
# pick lower value of jobs based on cores vs memory metric to minimize oom and swap usage during compilation
max_jobs = max(1, min(max_num_jobs_cores, max_num_jobs_memory))
os.environ["MAX_JOBS"] = str(max_jobs)
super().__init__(*args, **kwargs)
setup(
name=PACKAGE_NAME,
version=get_package_version(),
package_dir={'':'src'},
packages=['flash_attn_jax'],
author="Emily Shepperd",
author_email="[email protected]",
description="Flash Attention Jax",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/nshepperd/flash_attn_jax",
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: BSD License",
"Operating System :: Unix",
],
ext_modules=ext_modules,
cmdclass={'build_ext': NinjaBuildExtension.with_options(use_ninja=True)},
python_requires=">=3.9",
install_requires=[
"einops",
],
setup_requires=[
"ninja",
"psutil",
],
)