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Unverified Commit fea4662b authored by robotcator's avatar robotcator Committed by GitHub
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add --disable_extension flags to disable cuda extension (#21) 

* add setup flag

* use sys argv rather than env variable

* add readme

* refine  code & readme

* refine
parent a44b9c68
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Showing with 136 additions and 125 deletions
README.md
View file @ fea4662b
......@@ -20,6 +20,7 @@ Installation
You can use `python setup.py install` or `pip install .` to build Uni-Core from source. The CUDA version in the build environment should be the same as the one in PyTorch.
You can also use `python setup.py install --disable-cuda-ext` to disalbe the cuda extension operator when cuda is not available.
**Use pre-compiled python wheels**
......
setup.py
View file @ fea4662b
......@@ -14,6 +14,16 @@ import sys
from setuptools import find_packages, setup
DISABLE_CUDA_EXTENSION = False
filtered_args = []
for i, arg in enumerate(sys.argv):
if arg == '--disable-cuda-ext':
DISABLE_CUDA_EXTENSION = True
continue
filtered_args.append(arg)
sys.argv = filtered_args
if sys.version_info < (3, 7):
sys.exit("Sorry, Python >= 3.7 is required for unicore.")
......@@ -31,7 +41,7 @@ def write_version_py():
version = write_version_py()
# ninja build does not work unless include_dirs are abs path
# # ninja build does not work unless include_dirs are abs path
this_dir = os.path.dirname(os.path.abspath(__file__))
def get_cuda_bare_metal_version(cuda_dir):
......@@ -44,7 +54,7 @@ def get_cuda_bare_metal_version(cuda_dir):
return raw_output, bare_metal_major, bare_metal_minor
if not torch.cuda.is_available():
if not torch.cuda.is_available() and not DISABLE_CUDA_EXTENSION:
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, it will cross-compile for Volta (compute capability 7.0), Turing (compute capability 7.5),\n'
......@@ -71,135 +81,135 @@ ext_modules = []
extras = {}
if not DISABLE_CUDA_EXTENSION:
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]
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
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]
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) or (bare_metal_minor != torch_binary_minor):
raise RuntimeError("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))
cmdclass['build_ext'] = BuildExtension
if torch.utils.cpp_extension.CUDA_HOME is None:
raise RuntimeError("Nvcc was not found. Are you sure your environment has nvcc available? If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.")
check_cuda_torch_binary_vs_bare_metal(torch.utils.cpp_extension.CUDA_HOME)
generator_flag = []
torch_dir = torch.__path__[0]
if os.path.exists(os.path.join(torch_dir, 'include', 'ATen', 'CUDAGenerator.h')):
generator_flag = ['-DOLD_GENERATOR']
ext_modules.append(
CUDAExtension(name='unicore_fused_rounding',
sources=['csrc/rounding/interface.cpp',
'csrc/rounding/fp32_to_bf16.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3',] + generator_flag,
'nvcc':['-O3', '--use_fast_math',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda'] + generator_flag}))
ext_modules.append(
CUDAExtension(name='unicore_fused_multi_tensor',
sources=['csrc/multi_tensor/interface.cpp',
'csrc/multi_tensor/multi_tensor_l2norm_kernel.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3'],
'nvcc':['-O3', '--use_fast_math',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda']
}))
ext_modules.append(
CUDAExtension(name='unicore_fused_adam',
sources=['csrc/adam/interface.cpp',
'csrc/adam/adam_kernel.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3'],
'nvcc':['-O3', '--use_fast_math']}))
print("\nCompiling cuda extensions with")
print(raw_output + "from " + cuda_dir + "/bin\n")
ext_modules.append(
CUDAExtension(name='unicore_fused_softmax_dropout',
sources=['csrc/softmax_dropout/interface.cpp',
'csrc/softmax_dropout/softmax_dropout_kernel.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3',] + generator_flag,
'nvcc':['-O3', '--use_fast_math',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda'] + generator_flag}))
ext_modules.append(
CUDAExtension(name='unicore_fused_layernorm',
sources=['csrc/layernorm/interface.cpp',
'csrc/layernorm/layernorm.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3',] + generator_flag,
'nvcc':['-O3', '--use_fast_math',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda'] + generator_flag}))
ext_modules.append(
CUDAExtension(name='unicore_fused_layernorm_backward_gamma_beta',
sources=['csrc/layernorm/interface_gamma_beta.cpp',
'csrc/layernorm/layernorm_backward.cu'],
if (bare_metal_major != torch_binary_major) or (bare_metal_minor != torch_binary_minor):
raise RuntimeError("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))
cmdclass['build_ext'] = BuildExtension
if torch.utils.cpp_extension.CUDA_HOME is None:
raise RuntimeError("Nvcc was not found. Are you sure your environment has nvcc available? If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.")
# check_cuda_torch_binary_vs_bare_metal(torch.utils.cpp_extension.CUDA_HOME)
generator_flag = []
torch_dir = torch.__path__[0]
if os.path.exists(os.path.join(torch_dir, 'include', 'ATen', 'CUDAGenerator.h')):
generator_flag = ['-DOLD_GENERATOR']
ext_modules.append(
CUDAExtension(name='unicore_fused_rounding',
sources=['csrc/rounding/interface.cpp',
'csrc/rounding/fp32_to_bf16.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3',] + generator_flag,
'nvcc':['-O3', '--use_fast_math', '-maxrregcount=50',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda'] + generator_flag}))
'nvcc':['-O3', '--use_fast_math',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda'] + generator_flag}))
ext_modules.append(
CUDAExtension(name='unicore_fused_multi_tensor',
sources=['csrc/multi_tensor/interface.cpp',
'csrc/multi_tensor/multi_tensor_l2norm_kernel.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3'],
'nvcc':['-O3', '--use_fast_math',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda']
}))
ext_modules.append(
CUDAExtension(name='unicore_fused_adam',
sources=['csrc/adam/interface.cpp',
'csrc/adam/adam_kernel.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3'],
'nvcc':['-O3', '--use_fast_math']}))
ext_modules.append(
CUDAExtension(name='unicore_fused_softmax_dropout',
sources=['csrc/softmax_dropout/interface.cpp',
'csrc/softmax_dropout/softmax_dropout_kernel.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3',] + generator_flag,
'nvcc':['-O3', '--use_fast_math',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda'] + generator_flag}))
ext_modules.append(
CUDAExtension(name='unicore_fused_layernorm',
sources=['csrc/layernorm/interface.cpp',
'csrc/layernorm/layernorm.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3',] + generator_flag,
'nvcc':['-O3', '--use_fast_math',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda'] + generator_flag}))
ext_modules.append(
CUDAExtension(name='unicore_fused_layernorm_backward_gamma_beta',
sources=['csrc/layernorm/interface_gamma_beta.cpp',
'csrc/layernorm/layernorm_backward.cu'],
include_dirs=[os.path.join(this_dir, 'csrc')],
extra_compile_args={'cxx': ['-O3',] + generator_flag,
'nvcc':['-O3', '--use_fast_math', '-maxrregcount=50',
'-gencode', 'arch=compute_70,code=sm_70',
'-gencode', 'arch=compute_80,code=sm_80',
'-U__CUDA_NO_HALF_OPERATORS__',
'-U__CUDA_NO_BFLOAT16_OPERATORS__',
'-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_BFLOAT16_CONVERSIONS__',
'--expt-relaxed-constexpr',
'--expt-extended-lambda'] + generator_flag}))
setup(
......
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