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int resample2d_cuda_forward( | |
at::Tensor& input1, | |
at::Tensor& input2, | |
at::Tensor& output, | |
int kernel_size/*, bool bilinear*/) { | |
resample2d_kernel_forward(input1, input2, output, kernel_size/*, | |
bilinear*/); | |
return 1; | |
} | |
int resample2d_cuda_backward( | |
at::Tensor& input1, | |
at::Tensor& input2, | |
at::Tensor& gradOutput, | |
at::Tensor& gradInput1, | |
at::Tensor& gradInput2, | |
int kernel_size/*, bool bilinear*/) { | |
resample2d_kernel_backward(input1, input2, gradOutput, gradInput1, | |
gradInput2, kernel_size/*, bilinear*/); | |
return 1; | |
} | |
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { | |
m.def("forward", &resample2d_cuda_forward, "Resample2D forward (CUDA)"); | |
m.def("backward", &resample2d_cuda_backward, "Resample2D backward (CUDA)"); | |
} | |