#include <torch/serialize/tensor.h>
#include <ATen/cuda/CUDAContext.h>
#include <vector>
#include <THC/THC.h>

#include "sampling_gpu.h"

extern THCState *state;
#define CHECK_CUDA(x) do { \
  if (!x.type().is_cuda()) { \
    fprintf(stderr, "%s must be CUDA tensor at %s:%d\n", #x, __FILE__, __LINE__); \
    exit(-1); \
  } \
} while (0)
#define CHECK_CONTIGUOUS(x) do { \
  if (!x.is_contiguous()) { \
    fprintf(stderr, "%s must be contiguous tensor at %s:%d\n", #x, __FILE__, __LINE__); \
    exit(-1); \
  } \
} while (0)
#define CHECK_INPUT(x) CHECK_CUDA(x);CHECK_CONTIGUOUS(x)


int farthest_point_sampling_wrapper(int b, int n, int m,
    at::Tensor points_tensor, at::Tensor temp_tensor, at::Tensor idx_tensor) {

    CHECK_INPUT(points_tensor);
    CHECK_INPUT(temp_tensor);
    CHECK_INPUT(idx_tensor);

    const float *points = points_tensor.data<float>();
    float *temp = temp_tensor.data<float>();
    int *idx = idx_tensor.data<int>();

    farthest_point_sampling_kernel_launcher(b, n, m, points, temp, idx);
    return 1;
}