mirror of https://github.com/hpcaitech/ColossalAI
230 lines
11 KiB
Python
230 lines
11 KiB
Python
import os
|
|
import subprocess
|
|
import sys
|
|
|
|
from setuptools import find_packages, setup
|
|
|
|
# ninja build does not work unless include_dirs are abs path
|
|
this_dir = os.path.dirname(os.path.abspath(__file__))
|
|
build_cuda_ext = True
|
|
ext_modules = []
|
|
|
|
if '--no_cuda_ext' in sys.argv:
|
|
sys.argv.remove('--no_cuda_ext')
|
|
build_cuda_ext = False
|
|
|
|
|
|
def get_cuda_bare_metal_version(cuda_dir):
|
|
raw_output = subprocess.check_output([cuda_dir + "/bin/nvcc", "-V"], universal_newlines=True)
|
|
output = raw_output.split()
|
|
release_idx = output.index("release") + 1
|
|
release = output[release_idx].split(".")
|
|
bare_metal_major = release[0]
|
|
bare_metal_minor = release[1][0]
|
|
|
|
return raw_output, bare_metal_major, bare_metal_minor
|
|
|
|
|
|
def check_cuda_torch_binary_vs_bare_metal(cuda_dir):
|
|
raw_output, bare_metal_major, bare_metal_minor = get_cuda_bare_metal_version(cuda_dir)
|
|
torch_binary_major = torch.version.cuda.split(".")[0]
|
|
torch_binary_minor = torch.version.cuda.split(".")[1]
|
|
|
|
print("\nCompiling cuda extensions with")
|
|
print(raw_output + "from " + cuda_dir + "/bin\n")
|
|
|
|
if bare_metal_major != torch_binary_major:
|
|
print(
|
|
f'The detected CUDA version ({raw_output}) mismatches the version that was used to compile PyTorch ({torch.version.cuda}). CUDA extension will not be installed.')
|
|
return False
|
|
|
|
if bare_metal_minor != torch_binary_minor:
|
|
print("\nWarning: Cuda extensions are being compiled with a version of Cuda that does "
|
|
+ "not match the version used to compile Pytorch binaries. "
|
|
+ "Pytorch binaries were compiled with Cuda {}.\n".format(torch.version.cuda)
|
|
+ "In some cases, a minor-version mismatch will not cause later errors: "
|
|
+ "https://github.com/NVIDIA/apex/pull/323#discussion_r287021798. ")
|
|
return True
|
|
|
|
|
|
def check_cuda_availability(cuda_dir):
|
|
if not torch.cuda.is_available():
|
|
# https://github.com/NVIDIA/apex/issues/486
|
|
# Extension builds after https://github.com/pytorch/pytorch/pull/23408 attempt to query torch.cuda.get_device_capability(),
|
|
# which will fail if you are compiling in an environment without visible GPUs (e.g. during an nvidia-docker build command).
|
|
print('\nWarning: Torch did not find available GPUs on this system.\n',
|
|
'If your intention is to cross-compile, this is not an error.\n'
|
|
'By default, Colossal-AI will cross-compile for Pascal (compute capabilities 6.0, 6.1, 6.2),\n'
|
|
'Volta (compute capability 7.0), Turing (compute capability 7.5),\n'
|
|
'and, if the CUDA version is >= 11.0, Ampere (compute capability 8.0).\n'
|
|
'If you wish to cross-compile for a single specific architecture,\n'
|
|
'export TORCH_CUDA_ARCH_LIST="compute capability" before running setup.py.\n')
|
|
if os.environ.get("TORCH_CUDA_ARCH_LIST", None) is None:
|
|
_, bare_metal_major, _ = get_cuda_bare_metal_version(cuda_dir)
|
|
if int(bare_metal_major) == 11:
|
|
os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5;8.0"
|
|
else:
|
|
os.environ["TORCH_CUDA_ARCH_LIST"] = "6.0;6.1;6.2;7.0;7.5"
|
|
return False
|
|
|
|
if cuda_dir is None:
|
|
print(
|
|
"nvcc was not found. CUDA extension will not be installed. If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.")
|
|
return False
|
|
return True
|
|
|
|
|
|
def append_nvcc_threads(nvcc_extra_args):
|
|
_, bare_metal_major, bare_metal_minor = get_cuda_bare_metal_version(CUDA_HOME)
|
|
if int(bare_metal_major) >= 11 and int(bare_metal_minor) >= 2:
|
|
return nvcc_extra_args + ["--threads", "4"]
|
|
return nvcc_extra_args
|
|
|
|
|
|
def fetch_requirements(path):
|
|
with open(path, 'r') as fd:
|
|
return [r.strip() for r in fd.readlines()]
|
|
|
|
|
|
def fetch_readme():
|
|
with open('README.md', encoding='utf-8') as f:
|
|
return f.read()
|
|
|
|
|
|
def get_version():
|
|
with open('version.txt') as f:
|
|
return f.read().strip()
|
|
|
|
|
|
if build_cuda_ext:
|
|
try:
|
|
import torch
|
|
from torch.utils.cpp_extension import (CUDA_HOME, BuildExtension,
|
|
CUDAExtension)
|
|
print("\n\ntorch.__version__ = {}\n\n".format(torch.__version__))
|
|
TORCH_MAJOR = int(torch.__version__.split('.')[0])
|
|
TORCH_MINOR = int(torch.__version__.split('.')[1])
|
|
|
|
if TORCH_MAJOR < 1 or (TORCH_MAJOR == 1 and TORCH_MINOR < 8):
|
|
raise RuntimeError("Colossal-AI requires Pytorch 1.8 or newer.\n"
|
|
+ "The latest stable release can be obtained from https://pytorch.org/")
|
|
except ImportError:
|
|
print('torch is not found. CUDA extension will not be installed')
|
|
build_cuda_ext = False
|
|
|
|
if build_cuda_ext:
|
|
build_cuda_ext = check_cuda_availability(CUDA_HOME) and check_cuda_torch_binary_vs_bare_metal(CUDA_HOME)
|
|
|
|
|
|
if build_cuda_ext:
|
|
# Set up macros for forward/backward compatibility hack around
|
|
# https://github.com/pytorch/pytorch/commit/4404762d7dd955383acee92e6f06b48144a0742e
|
|
# and
|
|
# https://github.com/NVIDIA/apex/issues/456
|
|
# https://github.com/pytorch/pytorch/commit/eb7b39e02f7d75c26d8a795ea8c7fd911334da7e#diff-4632522f237f1e4e728cb824300403ac
|
|
version_dependent_macros = ['-DVERSION_GE_1_1', '-DVERSION_GE_1_3', '-DVERSION_GE_1_5']
|
|
|
|
def cuda_ext_helper(name, sources, extra_cuda_flags):
|
|
return CUDAExtension(name=name,
|
|
sources=[os.path.join('colossalai/kernel/cuda_native/csrc', path) for path in sources],
|
|
include_dirs=[os.path.join(
|
|
this_dir, 'colossalai/kernel/cuda_native/csrc/kernels/include')],
|
|
extra_compile_args={'cxx': ['-O3'] + version_dependent_macros,
|
|
'nvcc': append_nvcc_threads(['-O3',
|
|
'--use_fast_math'] + version_dependent_macros + extra_cuda_flags)})
|
|
|
|
ext_modules.append(cuda_ext_helper('colossal_C',
|
|
['colossal_C_frontend.cpp',
|
|
'multi_tensor_sgd_kernel.cu',
|
|
'multi_tensor_scale_kernel.cu',
|
|
'multi_tensor_adam.cu',
|
|
'multi_tensor_l2norm_kernel.cu',
|
|
'multi_tensor_lamb.cu'],
|
|
['-lineinfo']))
|
|
|
|
cc_flag = ['-gencode', 'arch=compute_70,code=sm_70']
|
|
_, bare_metal_major, _ = get_cuda_bare_metal_version(CUDA_HOME)
|
|
if int(bare_metal_major) >= 11:
|
|
cc_flag.append('-gencode')
|
|
cc_flag.append('arch=compute_80,code=sm_80')
|
|
|
|
extra_cuda_flags = ['-U__CUDA_NO_HALF_OPERATORS__',
|
|
'-U__CUDA_NO_HALF_CONVERSIONS__',
|
|
'--expt-relaxed-constexpr',
|
|
'--expt-extended-lambda']
|
|
|
|
ext_modules.append(cuda_ext_helper('colossal_scaled_upper_triang_masked_softmax',
|
|
['scaled_upper_triang_masked_softmax.cpp',
|
|
'scaled_upper_triang_masked_softmax_cuda.cu'],
|
|
extra_cuda_flags + cc_flag))
|
|
|
|
ext_modules.append(cuda_ext_helper('colossal_scaled_masked_softmax',
|
|
['scaled_masked_softmax.cpp', 'scaled_masked_softmax_cuda.cu'],
|
|
extra_cuda_flags + cc_flag))
|
|
|
|
ext_modules.append(cuda_ext_helper('colossal_moe_cuda',
|
|
['moe_cuda.cpp', 'moe_cuda_kernel.cu'],
|
|
extra_cuda_flags + cc_flag))
|
|
|
|
extra_cuda_flags = ['-maxrregcount=50']
|
|
|
|
ext_modules.append(cuda_ext_helper('colossal_layer_norm_cuda',
|
|
['layer_norm_cuda.cpp', 'layer_norm_cuda_kernel.cu'],
|
|
extra_cuda_flags + cc_flag))
|
|
|
|
extra_cuda_flags = ['-std=c++14',
|
|
'-U__CUDA_NO_HALF_OPERATORS__',
|
|
'-U__CUDA_NO_HALF_CONVERSIONS__',
|
|
'-U__CUDA_NO_HALF2_OPERATORS__',
|
|
'-DTHRUST_IGNORE_CUB_VERSION_CHECK']
|
|
|
|
ext_modules.append(cuda_ext_helper('colossal_multihead_attention',
|
|
['multihead_attention_1d.cpp',
|
|
'kernels/cublas_wrappers.cu',
|
|
'kernels/transform_kernels.cu',
|
|
'kernels/dropout_kernels.cu',
|
|
'kernels/normalize_kernels.cu',
|
|
'kernels/softmax_kernels.cu',
|
|
'kernels/general_kernels.cu',
|
|
'kernels/cuda_util.cu'],
|
|
extra_cuda_flags + cc_flag))
|
|
|
|
setup(
|
|
name='colossalai',
|
|
version=get_version(),
|
|
packages=find_packages(exclude=('benchmark',
|
|
'docker',
|
|
'tests',
|
|
'docs',
|
|
'examples',
|
|
'tests',
|
|
'scripts',
|
|
'requirements',
|
|
'*.egg-info',)),
|
|
description='An integrated large-scale model training system with efficient parallelization techniques',
|
|
long_description=fetch_readme(),
|
|
long_description_content_type='text/markdown',
|
|
url='https://www.colossalai.org',
|
|
project_urls={
|
|
'Forum': 'https://github.com/hpcaitech/ColossalAI/discussions',
|
|
'Bug Tracker': 'https://github.com/hpcaitech/ColossalAI/issues',
|
|
'Examples': 'https://github.com/hpcaitech/ColossalAI-Examples',
|
|
'Documentation': 'http://colossalai.readthedocs.io',
|
|
'Github': 'https://github.com/hpcaitech/ColossalAI',
|
|
},
|
|
ext_modules=ext_modules,
|
|
cmdclass={'build_ext': BuildExtension} if ext_modules else {},
|
|
install_requires=fetch_requirements('requirements/requirements.txt'),
|
|
extras_require={
|
|
'zero': fetch_requirements('requirements/requirements-zero.txt'),
|
|
},
|
|
python_requires='>=3.7',
|
|
classifiers=[
|
|
'Programming Language :: Python :: 3',
|
|
'License :: OSI Approved :: Apache Software License',
|
|
'Environment :: GPU :: NVIDIA CUDA',
|
|
'Topic :: Scientific/Engineering :: Artificial Intelligence',
|
|
'Topic :: System :: Distributed Computing',
|
|
],
|
|
)
|