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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;
#include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/CUDAEvent.h>
// cudaStream_t stream = at::cuda::getCurrentCUDAStream();
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>();
gather_points_kernel_launcher_fast(b, c, n, npoints, points, idx, out);
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>();
gather_points_grad_kernel_launcher_fast(b, c, n, npoints, grad_out, idx, grad_points);
return 1;
}
int furthest_point_sampling_wrapper(int b, int c, int n, int m, float w1, float w2,
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>();
furthest_point_sampling_kernel_launcher(b, c, n, m, w1, w2, points, temp, idx);
return 1;
}
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