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#include <torch/serialize/tensor.h>
#include <vector>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <cuda.h>
#include <cuda_runtime_api.h>
#include "interpolate_gpu.h"
#include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/CUDAEvent.h>
void three_nn_wrapper_fast(int b, int n, int m, at::Tensor unknown_tensor,
at::Tensor known_tensor, at::Tensor dist2_tensor, at::Tensor idx_tensor) {
const float *unknown = unknown_tensor.data<float>();
const float *known = known_tensor.data<float>();
float *dist2 = dist2_tensor.data<float>();
int *idx = idx_tensor.data<int>();
cudaStream_t stream = at::cuda::getCurrentCUDAStream().stream();
three_nn_kernel_launcher_fast(b, n, m, unknown, known, dist2, idx, stream);
}
void three_interpolate_wrapper_fast(int b, int c, int m, int n,
at::Tensor points_tensor,
at::Tensor idx_tensor,
at::Tensor weight_tensor,
at::Tensor out_tensor) {
const float *points = points_tensor.data<float>();
const float *weight = weight_tensor.data<float>();
float *out = out_tensor.data<float>();
const int *idx = idx_tensor.data<int>();
cudaStream_t stream = at::cuda::getCurrentCUDAStream().stream();
three_interpolate_kernel_launcher_fast(b, c, m, n, points, idx, weight, out, stream);
}
void three_interpolate_grad_wrapper_fast(int b, int c, int n, int m,
at::Tensor grad_out_tensor,
at::Tensor idx_tensor,
at::Tensor weight_tensor,
at::Tensor grad_points_tensor) {
const float *grad_out = grad_out_tensor.data<float>();
const float *weight = weight_tensor.data<float>();
float *grad_points = grad_points_tensor.data<float>();
const int *idx = idx_tensor.data<int>();
cudaStream_t stream = at::cuda::getCurrentCUDAStream().stream();
three_interpolate_grad_kernel_launcher_fast(b, c, n, m, grad_out, idx, weight, grad_points, stream);
}
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