mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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35 lines
1.2 KiB
35 lines
1.2 KiB
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__( |
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name=ScaledMaskedSoftmaxBuilder.NAME, prebuilt_import_path=ScaledMaskedSoftmaxBuilder.PREBUILT_IMPORT_PATH |
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) |
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# necessary 4 functions |
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def sources_files(self): |
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ret = [self.csrc_abs_path(fname) for fname in ["scaled_masked_softmax.cpp", "scaled_masked_softmax_cuda.cu"]] |
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return ret |
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def include_dirs(self): |
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return [self.csrc_abs_path("kernels/include"), self.get_cuda_home_include()] |
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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", |
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"-std=c++17", |
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"-U__CUDA_NO_HALF_OPERATORS__", |
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"-U__CUDA_NO_HALF_CONVERSIONS__", |
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"-U__CUDA_NO_HALF2_OPERATORS__", |
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"-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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