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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> lightconv_cuda_forward(
at::Tensor input,
at::Tensor filters,
int padding_l);
std::vector<at::Tensor> lightconv_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> lightconv_forward(
at::Tensor input,
at::Tensor filters,
int padding_l) {
CHECK_INPUT(input);
CHECK_INPUT(filters);
return lightconv_cuda_forward(input, filters, padding_l);
}
std::vector<at::Tensor> lightconv_backward(
at::Tensor gradOutput,
int padding_l,
at::Tensor input,
at::Tensor filters) {
CHECK_INPUT(gradOutput);
CHECK_INPUT(input);
CHECK_INPUT(filters);
return lightconv_cuda_backward(gradOutput, padding_l, input, filters);
}
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
m.def("forward", &lightconv_forward, "lighconv forward (CUDA)");
m.def("backward", &lightconv_backward, "lighconv backward (CUDA)");
}
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