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#include <torch/serialize/tensor.h> |
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#include <ATen/cuda/CUDAContext.h> |
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#include <vector> |
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#include "sampling_gpu.h" |
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#include <ATen/cuda/CUDAContext.h> |
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#include <ATen/cuda/CUDAEvent.h> |
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int gather_points_wrapper_fast(int b, int c, int n, int npoints, |
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at::Tensor points_tensor, at::Tensor idx_tensor, at::Tensor out_tensor){ |
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const float *points = points_tensor.data<float>(); |
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const int *idx = idx_tensor.data<int>(); |
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float *out = out_tensor.data<float>(); |
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gather_points_kernel_launcher_fast(b, c, n, npoints, points, idx, out); |
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return 1; |
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} |
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int gather_points_grad_wrapper_fast(int b, int c, int n, int npoints, |
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at::Tensor grad_out_tensor, at::Tensor idx_tensor, at::Tensor grad_points_tensor) { |
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const float *grad_out = grad_out_tensor.data<float>(); |
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const int *idx = idx_tensor.data<int>(); |
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float *grad_points = grad_points_tensor.data<float>(); |
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gather_points_grad_kernel_launcher_fast(b, c, n, npoints, grad_out, idx, grad_points); |
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return 1; |
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} |
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int furthest_point_sampling_wrapper(int b, int c, int n, int m, float w1, float w2, |
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at::Tensor points_tensor, at::Tensor temp_tensor, at::Tensor idx_tensor) { |
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const float *points = points_tensor.data<float>(); |
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float *temp = temp_tensor.data<float>(); |
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int *idx = idx_tensor.data<int>(); |
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furthest_point_sampling_kernel_launcher(b, c, n, m, w1, w2, points, temp, idx); |
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return 1; |
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} |
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