mirror of https://github.com/hpcaitech/ColossalAI
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
import os
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from .builder import Builder
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from .utils import append_nvcc_threads, get_cuda_cc_flag
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class MultiHeadAttnBuilder(Builder):
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NAME = "multihead_attention"
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PREBUILT_IMPORT_PATH = "colossalai._C.multihead_attention"
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def __init__(self):
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super().__init__(name=MultiHeadAttnBuilder.NAME,
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prebuilt_import_path=MultiHeadAttnBuilder.PREBUILT_IMPORT_PATH)
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def include_dirs(self):
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ret = [self.csrc_abs_path("kernels/include"), 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) for fname in [
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'multihead_attention_1d.cpp', 'kernels/cublas_wrappers.cu', 'kernels/transform_kernels.cu',
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'kernels/dropout_kernels.cu', 'kernels/normalize_kernels.cu', 'kernels/softmax_kernels.cu',
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'kernels/general_kernels.cu', 'kernels/cuda_util.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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'-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__',
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'-U__CUDA_NO_HALF2_OPERATORS__', '-DTHRUST_IGNORE_CUB_VERSION_CHECK'
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]
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extra_cuda_flags.extend(get_cuda_cc_flag())
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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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