57 lines
1.4 KiB
C++
57 lines
1.4 KiB
C++
/**
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* Copyright (c) Facebook, Inc. and its affiliates.
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*
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* This source code is licensed under the MIT license found in the
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* LICENSE file in the root directory of this source tree.
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*/
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#include <torch/extension.h>
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#include <vector>
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std::vector<at::Tensor> dynamicconv_cuda_forward(
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at::Tensor input,
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at::Tensor filters,
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int padding_l);
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std::vector<at::Tensor> dynamicconv_cuda_backward(
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at::Tensor gradOutput,
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int padding_l,
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at::Tensor input,
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at::Tensor filters);
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#define CHECK_CUDA(x) AT_ASSERTM(x.type().is_cuda(), #x " must be a CUDA tensor")
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#define CHECK_CONTIGUOUS(x) AT_ASSERTM(x.is_contiguous(), #x " must be contiguous")
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#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
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std::vector<at::Tensor> dynamicconv_forward(
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at::Tensor input,
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at::Tensor filters,
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int padding_l) {
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CHECK_INPUT(input);
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CHECK_INPUT(filters);
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return dynamicconv_cuda_forward(input, filters,
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padding_l);
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}
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std::vector<at::Tensor> dynamicconv_backward(
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at::Tensor gradOutput,
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int padding_l,
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at::Tensor input,
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at::Tensor filters) {
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CHECK_INPUT(gradOutput);
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CHECK_INPUT(input);
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CHECK_INPUT(filters);
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return dynamicconv_cuda_backward(gradOutput, padding_l,
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input, filters);
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}
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PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
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m.def("forward", &dynamicconv_forward, "dynamicconv forward (CUDA)");
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m.def("backward", &dynamicconv_backward, "dynamicconv backward (CUDA)");
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}
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