55 lines
1.4 KiB
C++
55 lines
1.4 KiB
C++
/**
|
|
* 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)");
|
|
}
|