mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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27 lines
964 B
27 lines
964 B
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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