56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
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from torch.utils import cpp_extension
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import pathlib
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import os
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import subprocess
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def _get_cuda_bare_metal_version(cuda_dir):
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raw_output = subprocess.check_output([cuda_dir + "/bin/nvcc", "-V"],
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universal_newlines=True)
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output = raw_output.split()
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release_idx = output.index("release") + 1
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release = output[release_idx].split(".")
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bare_metal_major = release[0]
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bare_metal_minor = release[1][0]
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return raw_output, bare_metal_major, bare_metal_minor
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def _create_build_dir(buildpath):
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try:
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os.mkdir(buildpath)
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except OSError:
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if not os.path.isdir(buildpath):
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print(f"Creation of the build directory {buildpath} failed")
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# Check if cuda 11 is installed for compute capability 8.0
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cc_flag = []
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_, bare_metal_major, bare_metal_minor = _get_cuda_bare_metal_version(cpp_extension.CUDA_HOME)
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if int(bare_metal_major) >= 11:
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cc_flag.append('-gencode')
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cc_flag.append('arch=compute_80,code=sm_80')
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if int(bare_metal_minor) >= 7:
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cc_flag.append('-gencode')
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cc_flag.append('arch=compute_90,code=sm_90')
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# Build path
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srcpath = pathlib.Path(__file__).parent.absolute()
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buildpath = srcpath / 'build'
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_create_build_dir(buildpath)
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def _cpp_extention_load_helper(name, sources, extra_cuda_flags):
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return cpp_extension.load(
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name=name,
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sources=sources,
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build_directory=buildpath,
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extra_cflags=['-O3', ],
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extra_cuda_cflags=['-O3',
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'-gencode', 'arch=compute_70,code=sm_70',
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'--use_fast_math'] + extra_cuda_flags + cc_flag,
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verbose=1
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)
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extra_flags = []
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cache_autogptq_cuda_256_sources = ["./cache_autogptq_cuda_256.cpp",
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"./cache_autogptq_cuda_kernel_256.cu"]
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cache_autogptq_cuda_256 = _cpp_extention_load_helper("cache_autogptq_cuda_256", cache_autogptq_cuda_256_sources, extra_flags)
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