Making large AI models cheaper, faster and more accessible
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from ...cuda_extension import _CudaExtension
from ...utils import append_nvcc_threads
class ScaledMaskedSoftmaxCudaExtension(_CudaExtension):
def __init__(self):
super().__init__(name="scaled_masked_softmax_cuda")
def sources_files(self):
ret = [self.csrc_abs_path(fname) for fname in ["kernel/cuda/scaled_masked_softmax_kernel.cu"]] + [
self.pybind_abs_path("softmax/scaled_masked_softmax.cpp")
]
return ret
def cxx_flags(self):
return ["-O3"] + self.version_dependent_macros
def nvcc_flags(self):
extra_cuda_flags = [
"-std=c++14",
"-std=c++17",
"-U__CUDA_NO_HALF_OPERATORS__",
"-U__CUDA_NO_HALF_CONVERSIONS__",
"-U__CUDA_NO_HALF2_OPERATORS__",
"-DTHRUST_IGNORE_CUB_VERSION_CHECK",
]
ret = ["-O3", "--use_fast_math"] + self.version_dependent_macros + extra_cuda_flags + super().nvcc_flags()
return append_nvcc_threads(ret)