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- #include <torch/serialize/tensor.h>
- #include <ATen/cuda/CUDAContext.h>
- #include <vector>
- #include <THC/THC.h>
-
- #include "sampling_gpu.h"
-
- extern THCState *state;
-
-
- int gather_points_wrapper_fast(int b, int c, int n, int npoints,
- at::Tensor points_tensor, at::Tensor idx_tensor, at::Tensor out_tensor){
- const float *points = points_tensor.data<float>();
- const int *idx = idx_tensor.data<int>();
- float *out = out_tensor.data<float>();
-
- cudaStream_t stream = THCState_getCurrentStream(state);
- gather_points_kernel_launcher_fast(b, c, n, npoints, points, idx, out, stream);
- return 1;
- }
-
-
- int gather_points_grad_wrapper_fast(int b, int c, int n, int npoints,
- at::Tensor grad_out_tensor, at::Tensor idx_tensor, at::Tensor grad_points_tensor) {
-
- const float *grad_out = grad_out_tensor.data<float>();
- const int *idx = idx_tensor.data<int>();
- float *grad_points = grad_points_tensor.data<float>();
-
- cudaStream_t stream = THCState_getCurrentStream(state);
- gather_points_grad_kernel_launcher_fast(b, c, n, npoints, grad_out, idx, grad_points, stream);
- return 1;
- }
-
-
- int furthest_point_sampling_wrapper(int b, int n, int m,
- at::Tensor points_tensor, at::Tensor temp_tensor, at::Tensor idx_tensor) {
-
- const float *points = points_tensor.data<float>();
- float *temp = temp_tensor.data<float>();
- int *idx = idx_tensor.data<int>();
-
- cudaStream_t stream = THCState_getCurrentStream(state);
- furthest_point_sampling_kernel_launcher(b, n, m, points, temp, idx, stream);
- return 1;
- }
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