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ColossalAI/op_builder/gptq.py

52 lines
1.5 KiB

import os
import torch
import re
from .builder import Builder
from .utils import append_nvcc_threads, get_cuda_cc_flag
class GPTQBuilder(Builder):
NAME = "cu_gptq"
PREBUILT_IMPORT_PATH = "colossalai._C.cu_gptq"
def __init__(self):
super().__init__(name=GPTQBuilder.NAME,
prebuilt_import_path=GPTQBuilder.PREBUILT_IMPORT_PATH)
def include_dirs(self):
ret = [self.csrc_abs_path("gptq"), self.get_cuda_home_include()]
return ret
def sources_files(self):
ret = [
self.csrc_abs_path(fname) for fname in [
'gptq/linear_gptq.cpp',
'gptq/column_remap.cu',
'gptq/cuda_buffers.cu',
'gptq/q4_matmul.cu',
'gptq/q4_matrix.cu'
]
]
return ret
def cxx_flags(self):
return ['-O3'] + self.version_dependent_macros
def nvcc_flags(self):
extra_cuda_flags = ['-v',
'-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__',
'-U__CUDA_NO_HALF2_OPERATORS__', '-DTHRUST_IGNORE_CUB_VERSION_CHECK', "-lcublas", "-std=c++17"
]
for arch in torch.cuda.get_arch_list():
res = re.search(r'sm_(\d+)', arch)
if res:
arch_cap = res[1]
if int(arch_cap) >= 80:
extra_cuda_flags.extend(['-gencode', f'arch=compute_{arch_cap},code={arch}'])
ret = ['-O3', '--use_fast_math'] + self.version_dependent_macros + extra_cuda_flags
return append_nvcc_threads(ret)