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setup.py
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setup.py
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#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import datetime
import distutils.command.clean
import glob
import os
import shlex
import shutil
import subprocess
import sys
from pathlib import Path
from typing import List
import setuptools
import torch
from torch.utils.cpp_extension import (
CUDA_HOME,
BuildExtension,
CppExtension,
CUDAExtension,
)
this_dir = os.path.dirname(os.path.abspath(__file__))
def get_extra_nvcc_flags_for_build_type() -> List[str]:
build_type = os.environ.get("XFORMERS_BUILD_TYPE", "RelWithDebInfo").lower()
if build_type == "relwithdebinfo":
return ["--generate-line-info"]
elif build_type == "release":
return []
else:
raise ValueError(f"Unknown build type: {build_type}")
def fetch_requirements():
with open("requirements.txt") as f:
reqs = f.read().strip().split("\n")
return reqs
def get_local_version_suffix() -> str:
date_suffix = datetime.datetime.now().strftime("%Y%m%d")
git_hash = subprocess.check_output(
["git", "rev-parse", "--short", "HEAD"], cwd=Path(__file__).parent
).decode("ascii")[:-1]
return f"+{git_hash}.d{date_suffix}"
def write_version_file(version: str):
version_path = os.path.join(this_dir, "xformers", "version.py")
with open(version_path, "w") as f:
f.write("# noqa: C801\n")
f.write(f'__version__ = "{version}"\n')
tag = os.getenv("GIT_TAG")
if tag is not None:
f.write(f'git_tag = "{tag}"\n')
def symlink_package(name: str, path: Path, is_building_wheel: bool) -> None:
cwd = Path(__file__).parent
path_from = cwd / path
path_to = os.path.join(cwd, *name.split("."))
try:
if os.path.islink(path_to):
os.unlink(path_to)
elif os.path.isdir(path_to):
shutil.rmtree(path_to)
else:
os.remove(path_to)
except FileNotFoundError:
pass
# OSError: [WinError 1314] A required privilege is not held by the client
# Windows requires special permission to symlink. Fallback to copy
# When building wheels for linux 3.7 and 3.8, symlinks are not included
# So we force a copy, see #611
use_symlink = os.name != "nt" and not is_building_wheel
if use_symlink:
os.symlink(src=path_from, dst=path_to)
else:
shutil.copytree(src=path_from, dst=path_to)
def get_cuda_version(cuda_dir) -> int:
nvcc_bin = "nvcc" if cuda_dir is None else cuda_dir + "/bin/nvcc"
raw_output = subprocess.check_output([nvcc_bin, "-V"], universal_newlines=True)
output = raw_output.split()
release_idx = output.index("release") + 1
release = output[release_idx].split(".")
bare_metal_major = int(release[0])
bare_metal_minor = int(release[1][0])
assert bare_metal_minor < 100
return bare_metal_major * 100 + bare_metal_minor
def get_flash_attention_extensions(cuda_version: int, extra_compile_args):
# Figure out default archs to target
DEFAULT_ARCHS_LIST = ""
if cuda_version > 1100:
DEFAULT_ARCHS_LIST = "7.5;8.0;8.6"
elif cuda_version == 1100:
DEFAULT_ARCHS_LIST = "7.5;8.0"
else:
return []
if os.getenv("XFORMERS_DISABLE_FLASH_ATTN", "0") != "0":
return []
archs_list = os.environ.get("TORCH_CUDA_ARCH_LIST", DEFAULT_ARCHS_LIST)
nvcc_archs_flags = []
for arch in archs_list.replace(" ", ";").split(";"):
assert len(arch) >= 3, f"Invalid sm version: {arch}"
num = 10 * int(arch[0]) + int(arch[2])
# Need at least 7.5
if num < 75:
continue
nvcc_archs_flags.append(f"-gencode=arch=compute_{num},code=sm_{num}")
if arch.endswith("+PTX"):
nvcc_archs_flags.append(f"-gencode=arch=compute_{num},code=compute_{num}")
if not nvcc_archs_flags:
return []
this_dir = os.path.dirname(os.path.abspath(__file__))
flash_root = os.path.join(this_dir, "third_party", "flash-attention")
if not os.path.exists(flash_root):
raise RuntimeError(
"flashattention submodule not found. Did you forget "
"to run `git submodule update --init --recursive` ?"
)
return [
CUDAExtension(
name="xformers._C_flashattention",
sources=[
os.path.join(this_dir, "third_party", "flash-attention", path)
for path in [
"csrc/flash_attn/fmha_api.cpp",
"csrc/flash_attn/src/fmha_fwd_hdim32.cu",
"csrc/flash_attn/src/fmha_fwd_hdim64.cu",
"csrc/flash_attn/src/fmha_fwd_hdim128.cu",
"csrc/flash_attn/src/fmha_bwd_hdim32.cu",
"csrc/flash_attn/src/fmha_bwd_hdim64.cu",
"csrc/flash_attn/src/fmha_bwd_hdim128.cu",
"csrc/flash_attn/src/fmha_block_fprop_fp16_kernel.sm80.cu",
"csrc/flash_attn/src/fmha_block_dgrad_fp16_kernel_loop.sm80.cu",
]
],
extra_compile_args={
**extra_compile_args,
"nvcc": extra_compile_args.get("nvcc", [])
+ [
"-O3",
"-std=c++17",
"--expt-relaxed-constexpr",
"--expt-extended-lambda",
"--use_fast_math",
"--ptxas-options=-v",
]
+ nvcc_archs_flags
+ get_extra_nvcc_flags_for_build_type(),
},
include_dirs=[
Path(flash_root) / "csrc" / "flash_attn",
Path(flash_root) / "csrc" / "flash_attn" / "src",
# Path(flash_root) / 'csrc' / 'flash_attn' / 'cutlass' / 'include',
Path(this_dir) / "third_party" / "cutlass" / "include",
],
)
]
def get_extensions():
this_dir = os.path.dirname(os.path.abspath(__file__))
extensions_dir = os.path.join(this_dir, "xformers", "csrc")
sources = glob.glob(os.path.join(extensions_dir, "**", "*.cpp"), recursive=True)
source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu"), recursive=True)
sputnik_dir = os.path.join(this_dir, "third_party", "sputnik")
cutlass_dir = os.path.join(this_dir, "third_party", "cutlass", "include")
cutlass_examples_dir = os.path.join(this_dir, "third_party", "cutlass", "examples")
if not os.path.exists(cutlass_dir):
raise RuntimeError(
f"CUTLASS submodule not found at {cutlass_dir}. "
"Did you forget to run "
"`git submodule update --init --recursive` ?"
)
extension = CppExtension
define_macros = []
extra_compile_args = {"cxx": ["-O3"]}
if sys.platform == "win32":
define_macros += [("xformers_EXPORTS", None)]
extra_compile_args["cxx"].extend(["/MP", "/Zc:lambda", "/Zc:preprocessor"])
elif "OpenMP not found" not in torch.__config__.parallel_info():
extra_compile_args["cxx"].append("-fopenmp")
include_dirs = [extensions_dir]
ext_modules = []
if (
(torch.cuda.is_available() and ((CUDA_HOME is not None)))
or os.getenv("FORCE_CUDA", "0") == "1"
or os.getenv("TORCH_CUDA_ARCH_LIST", "") != ""
):
extension = CUDAExtension
sources += source_cuda
include_dirs += [sputnik_dir, cutlass_dir, cutlass_examples_dir]
nvcc_flags = [
"-DHAS_PYTORCH",
"--use_fast_math",
"-U__CUDA_NO_HALF_OPERATORS__",
"-U__CUDA_NO_HALF_CONVERSIONS__",
"--extended-lambda",
"-D_ENABLE_EXTENDED_ALIGNED_STORAGE",
] + get_extra_nvcc_flags_for_build_type()
if os.getenv("XFORMERS_ENABLE_DEBUG_ASSERTIONS", "0") != "1":
nvcc_flags.append("-DNDEBUG")
nvcc_flags += shlex.split(os.getenv("NVCC_FLAGS", ""))
cuda_version = get_cuda_version(CUDA_HOME)
if cuda_version >= 1102:
nvcc_flags += [
"--threads",
"4",
"--ptxas-options=-v",
]
if sys.platform == "win32":
nvcc_flags += [
"-std=c++17",
"-Xcompiler",
"/Zc:lambda",
"-Xcompiler",
"/Zc:preprocessor",
]
extra_compile_args["nvcc"] = nvcc_flags
ext_modules += get_flash_attention_extensions(
cuda_version=cuda_version, extra_compile_args=extra_compile_args
)
sources = [os.path.join(extensions_dir, s) for s in sources]
ext_modules.append(
extension(
"xformers._C",
sorted(sources),
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
)
return ext_modules
class clean(distutils.command.clean.clean): # type: ignore
def run(self):
if os.path.exists(".gitignore"):
with open(".gitignore", "r") as f:
ignores = f.read()
for wildcard in filter(None, ignores.split("\n")):
for filename in glob.glob(wildcard):
try:
os.remove(filename)
except OSError:
shutil.rmtree(filename, ignore_errors=True)
# It's an old-style class in Python 2.7...
distutils.command.clean.clean.run(self)
if __name__ == "__main__":
try:
# when installing as a source distribution, the version module should exist
from xformers.version import __version__
version = __version__
except ModuleNotFoundError:
if os.getenv("BUILD_VERSION"): # In CI
version = os.getenv("BUILD_VERSION", "0.0.0")
else:
version_txt = os.path.join(this_dir, "version.txt")
with open(version_txt) as f:
version = f.readline().strip()
version += get_local_version_suffix()
write_version_file(version)
is_building_wheel = "bdist_wheel" in sys.argv
# Embed a fixed version of flash_attn
# NOTE: The correct way to do this would be to use the `package_dir`
# parameter in `setuptools.setup`, but this does not work when
# developing in editable mode
# See: https://github.com/pypa/pip/issues/3160 (closed, but not fixed)
symlink_package(
"xformers._flash_attn",
Path("third_party") / "flash-attention" / "flash_attn",
is_building_wheel,
)
setuptools.setup(
name="xformers",
description="XFormers: A collection of composable Transformer building blocks.",
version=version,
install_requires=fetch_requirements(),
packages=setuptools.find_packages(
exclude=("tests*", "benchmarks*", "experimental*")
),
ext_modules=get_extensions(),
cmdclass={
"build_ext": BuildExtension.with_options(no_python_abi_suffix=True),
"clean": clean,
},
url="https://facebookresearch.github.io/xformers/",
python_requires=">=3.7",
author="Facebook AI Research",
author_email="[email protected]",
long_description="XFormers: A collection of composable Transformer building blocks."
+ "XFormers aims at being able to reproduce most architectures in the Transformer-family SOTA,"
+ "defined as compatible and combined building blocks as opposed to monolithic models",
long_description_content_type="text/markdown",
classifiers=[
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"License :: OSI Approved :: BSD License",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Operating System :: OS Independent",
],
zip_safe=False,
)