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setup.py
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setup.py
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import torch
from setuptools import setup, find_packages
import sys
if not torch.cuda.is_available():
print("Warning: Torch did not find available GPUs on this system.\n",
"If your intention is to cross-compile, this is not an error.")
print("torch.__version__ = ", torch.__version__)
TORCH_MAJOR = int(torch.__version__.split('.')[0])
TORCH_MINOR = int(torch.__version__.split('.')[1])
if TORCH_MAJOR == 0 and TORCH_MINOR < 4:
raise RuntimeError("APEx requires Pytorch 0.4 or newer.\n" +
"The latest stable release can be obtained from https://pytorch.org/")
cmdclass = {}
ext_modules = []
if "--cpp_ext" in sys.argv or "--cuda_ext" in sys.argv:
from torch.utils.cpp_extension import BuildExtension
cmdclass['build_ext'] = BuildExtension
if "--cpp_ext" in sys.argv:
from torch.utils.cpp_extension import CppExtension
sys.argv.remove("--cpp_ext")
ext_modules.append(
CppExtension('apex_C',
['csrc/flatten_unflatten.cpp',]))
if "--cuda_ext" in sys.argv:
from torch.utils.cpp_extension import CUDAExtension
sys.argv.remove("--cuda_ext")
if torch.utils.cpp_extension.CUDA_HOME is None:
print("Warning: nvcc is not available. Ignoring --cuda-ext")
else:
ext_modules.append(
CUDAExtension(name='fused_adam_cuda',
sources=['apex/optimizers/csrc/fused_adam_cuda.cpp',
'apex/optimizers/csrc/fused_adam_cuda_kernel.cu'],
extra_compile_args={'cxx': ['-O3',],
'nvcc':['-O3',
'--use_fast_math']}))
ext_modules.append(
CUDAExtension(name='syncbn',
sources=['csrc/syncbn.cpp',
'csrc/welford.cu']))
ext_modules.append(
CUDAExtension(name='fused_layer_norm_cuda',
sources=['apex/normalization/csrc/layer_norm_cuda.cpp',
'apex/normalization/csrc/layer_norm_cuda_kernel.cu'],
extra_compile_args={'cxx': ['-O3',],
'nvcc':['-maxrregcount=50',
'-O3',
'--use_fast_math']}))
setup(
name='apex',
version='0.1',
packages=find_packages(exclude=('build',
'csrc',
'include',
'tests',
'dist',
'docs',
'tests',
'examples',
'apex.egg-info',)),
description='PyTorch Extensions written by NVIDIA',
ext_modules=ext_modules,
cmdclass=cmdclass,
)