OneLLM / lib /pointnet2 /src /ball_query.cpp
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#include <torch/serialize/tensor.h>
#include <vector>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/CUDAEvent.h>
#include <cuda.h>
#include <cuda_runtime_api.h>
#include "ball_query_gpu.h"
#define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x, " must be a CUDAtensor ")
#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x, " must be contiguous ")
#define CHECK_INPUT(x) CHECK_CUDA(x);CHECK_CONTIGUOUS(x)
int ball_query_wrapper_fast(int b, int n, int m, float radius, int nsample,
at::Tensor new_xyz_tensor, at::Tensor xyz_tensor, at::Tensor idx_tensor) {
CHECK_INPUT(new_xyz_tensor);
CHECK_INPUT(xyz_tensor);
const float *new_xyz = new_xyz_tensor.data<float>();
const float *xyz = xyz_tensor.data<float>();
int *idx = idx_tensor.data<int>();
cudaStream_t stream = at::cuda::getCurrentCUDAStream().stream();
ball_query_kernel_launcher_fast(b, n, m, radius, nsample, new_xyz, xyz, idx, stream);
return 1;
}