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f531815526
Summary: Fixes https://github.com/pytorch/pytorch/issues/29161. I looked a bit at the code changes related to this and think I have all of the use cases of `DeprecatedTypeProperties` covered in the message, but suggestions from someone with more context on this would be very much appreciated :) Pull Request resolved: https://github.com/pytorch/pytorch/pull/30281 Differential Revision: D18830818 Pulled By: ezyang fbshipit-source-id: 1a7fcee15354ae09e6644577e7fa33bd26acfe20
20 lines
754 B
C++
20 lines
754 B
C++
#include <torch/extension.h>
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// Declare the function from cuda_extension.cu. It will be compiled
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// separately with nvcc and linked with the object file of cuda_extension.cpp
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// into one shared library.
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void sigmoid_add_cuda(const float* x, const float* y, float* output, int size);
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torch::Tensor sigmoid_add(torch::Tensor x, torch::Tensor y) {
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TORCH_CHECK(x.device().is_cuda(), "x must be a CUDA tensor");
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TORCH_CHECK(y.device().is_cuda(), "y must be a CUDA tensor");
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auto output = torch::zeros_like(x);
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sigmoid_add_cuda(
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x.data_ptr<float>(), y.data_ptr<float>(), output.data_ptr<float>(), output.numel());
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return output;
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}
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PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
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m.def("sigmoid_add", &sigmoid_add, "sigmoid(x) + sigmoid(y)");
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}
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