File size: 1,924 Bytes
9eb783b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | from torch.utils import cpp_extension
import pathlib
import os
import subprocess
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 _create_build_dir(buildpath):
try:
os.mkdir(buildpath)
except OSError:
if not os.path.isdir(buildpath):
print(f"Creation of the build directory {buildpath} failed")
# Check if cuda 11 is installed for compute capability 8.0
cc_flag = []
_, bare_metal_major, bare_metal_minor = _get_cuda_bare_metal_version(cpp_extension.CUDA_HOME)
if int(bare_metal_major) >= 11:
cc_flag.append('-gencode')
cc_flag.append('arch=compute_80,code=sm_80')
if int(bare_metal_minor) >= 7:
cc_flag.append('-gencode')
cc_flag.append('arch=compute_90,code=sm_90')
# Build path
srcpath = pathlib.Path(__file__).parent.absolute()
buildpath = srcpath / 'build'
_create_build_dir(buildpath)
def _cpp_extention_load_helper(name, sources, extra_cuda_flags):
return cpp_extension.load(
name=name,
sources=sources,
build_directory=buildpath,
extra_cflags=['-O3', ],
extra_cuda_cflags=['-O3',
'-gencode', 'arch=compute_70,code=sm_70',
'--use_fast_math'] + extra_cuda_flags + cc_flag,
verbose=1
)
extra_flags = []
cache_autogptq_cuda_256_sources = ["./cache_autogptq_cuda_256.cpp",
"./cache_autogptq_cuda_kernel_256.cu"]
cache_autogptq_cuda_256 = _cpp_extention_load_helper("cache_autogptq_cuda_256", cache_autogptq_cuda_256_sources, extra_flags)
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