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