mirror of https://github.com/hpcaitech/ColossalAI
38 lines
1.3 KiB
Python
38 lines
1.3 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 ScaledUpperTrainglemaskedSoftmaxBuilder(Builder):
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NAME = "scaled_upper_triangle_masked_softmax"
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PREBUILT_IMPORT_PATH = "colossalai._C.scaled_upper_triangle_masked_softmax"
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def __init__(self):
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super().__init__(name=ScaledUpperTrainglemaskedSoftmaxBuilder.NAME, prebuilt_import_path=ScaledUpperTrainglemaskedSoftmaxBuilder.PREBUILT_IMPORT_PATH)
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def include_dirs(self):
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return [
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self.csrc_abs_path("kernels/include"),
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self.get_cuda_home_include()
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]
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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 ['scaled_upper_triang_masked_softmax.cpp', 'scaled_upper_triang_masked_softmax_cuda.cu']
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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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'-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '--expt-relaxed-constexpr',
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'--expt-extended-lambda'
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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'] + extra_cuda_flags
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return append_nvcc_threads(ret)
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