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aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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37 lines
1.3 KiB
37 lines
1.3 KiB
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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