| | #ifndef _AGGREGATION_CUDA_KERNEL |
| | #define _AGGREGATION_CUDA_KERNEL |
| | #include <vector> |
| | #include <torch/serialize/tensor.h> |
| | #include <ATen/cuda/CUDAContext.h> |
| |
|
| | void aggregation_forward_cuda(int n, int nsample, int c, int w_c, at::Tensor input_tensor, at::Tensor position_tensor, at::Tensor weight_tensor, at::Tensor idx_tensor, at::Tensor output_tensor); |
| | void aggregation_backward_cuda(int n, int nsample, int c, int w_c, at::Tensor input_tensor, at::Tensor position_tensor, at::Tensor weight_tensor, at::Tensor idx_tensor, at::Tensor grad_output_tensor, at::Tensor grad_input_tensor, at::Tensor grad_position_tensor, at::Tensor grad_weight_tensor); |
| |
|
| | #ifdef __cplusplus |
| | extern "C" { |
| | #endif |
| |
|
| | void aggregation_forward_cuda_launcher(int n, int nsample, int c, int w_c, const float *input, const float *position, const float *weight, const int *idx, float *output); |
| | void aggregation_backward_cuda_launcher(int n, int nsample, int c, int w_c, const float *input, const float *position, const float *weight, const int *idx, const float *grad_output, float *grad_input, float *grad_position, float *grad_weight); |
| |
|
| | #ifdef __cplusplus |
| | } |
| | #endif |
| | #endif |
| |
|
