mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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30 lines
975 B
30 lines
975 B
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, get_cuda_cc_flag
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class LayerNormBuilder(Builder):
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NAME = "layernorm"
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PREBUILT_IMPORT_PATH = "colossalai._C.layernorm"
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def __init__(self):
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super().__init__(name=LayerNormBuilder.NAME, prebuilt_import_path=LayerNormBuilder.PREBUILT_IMPORT_PATH)
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def sources_files(self):
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ret = [self.csrc_abs_path(fname) for fname in ['layer_norm_cuda.cpp', 'layer_norm_cuda_kernel.cu']]
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return ret
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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 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 = ['-maxrregcount=50']
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extra_cuda_flags.extend(get_cuda_cc_flag())
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ret = ['-O3', '--use_fast_math'] + extra_cuda_flags + self.version_dependent_macros
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return append_nvcc_threads(ret)
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