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37 lines
1.3 KiB
37 lines
1.3 KiB
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__( |
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name=ScaledUpperTrainglemaskedSoftmaxBuilder.NAME, |
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prebuilt_import_path=ScaledUpperTrainglemaskedSoftmaxBuilder.PREBUILT_IMPORT_PATH, |
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) |
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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 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__", |
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"-U__CUDA_NO_HALF_CONVERSIONS__", |
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"--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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