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#include <torch/torch.h>
#include <vector>
std::vector<float*> dynamicconv_cpu_forward(
float* input,
float* filters,
int padding_l);
std::vector<float*> dynamicconv_cpu_backward(
float* gradOutput,
int padding_l,
float* input,
float* filters);
std::vector<float*> dynamicconv_forward(
float* input,
float* filters,
int padding_l) {
return dynamicconv_cpu_forward(input, filters, padding_l);
}
std::vector<float*> dynamicconv_backward(
float* gradOutput,
int padding_l,
float* input,
float* filters) {
return dynamicconv_cpu_backward(gradOutput, padding_l, input, filters);
}
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
m.def("forward", &dynamicconv_forward, "dynamicconv forward (CPU)");
m.def("backward", &dynamicconv_backward, "dynamicconv backward (CPU)");
}
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