| | #include <vector> |
| | #include <torch/serialize/tensor.h> |
| | #include <ATen/cuda/CUDAContext.h> |
| | #include "interpolation_cuda_kernel.h" |
| |
|
| |
|
| | void interpolation_forward_cuda(int n, int c, int k, at::Tensor input_tensor, at::Tensor idx_tensor, at::Tensor weight_tensor, at::Tensor output_tensor) |
| | { |
| | const float *input = input_tensor.data_ptr<float>(); |
| | const int *idx = idx_tensor.data_ptr<int>(); |
| | const float *weight = weight_tensor.data_ptr<float>(); |
| | float *output = output_tensor.data_ptr<float>(); |
| | interpolation_forward_cuda_launcher(n, c, k, input, idx, weight, output); |
| | } |
| |
|
| | void interpolation_backward_cuda(int n, int c, int k, at::Tensor grad_output_tensor, at::Tensor idx_tensor, at::Tensor weight_tensor, at::Tensor grad_input_tensor) |
| | { |
| | const float *grad_output = grad_output_tensor.data_ptr<float>(); |
| | const int *idx = idx_tensor.data_ptr<int>(); |
| | const float *weight = weight_tensor.data_ptr<float>(); |
| | float *grad_input = grad_input_tensor.data_ptr<float>(); |
| | interpolation_backward_cuda_launcher(n, c, k, grad_output, idx, weight, grad_input); |
| | } |
| |
|