mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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38 lines
1.2 KiB
38 lines
1.2 KiB
2 years ago
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import os
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from .builder import Builder
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from .utils import append_nvcc_threads
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class ScaledMaskedSoftmaxBuilder(Builder):
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NAME = "scaled_masked_softmax"
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PREBUILT_IMPORT_PATH = "colossalai._C.scaled_masked_softmax"
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def __init__(self):
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super().__init__(name=ScaledMaskedSoftmaxBuilder.NAME, prebuilt_import_path=ScaledMaskedSoftmaxBuilder.PREBUILT_IMPORT_PATH)
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# necessary 4 functions
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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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['scaled_masked_softmax.cpp', 'scaled_masked_softmax_cuda.cu']
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]
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return ret
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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 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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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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