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