// !!! This is a file automatically generated by hipify!!!
#include <ATen/ATen.h>
#include <ATen/TensorUtils.h>
#include <ATen/hip/HIPApplyUtils.cuh>

#include <math.h>

namespace at {
namespace native {

/* TODO: move this to a common place */
template <typename scalar_t>
__device__ inline scalar_t min(scalar_t a, scalar_t b) {
  return a < b ? a : b;
}

template <typename scalar_t>
__device__ inline scalar_t max(scalar_t a, scalar_t b) {
  return a > b ? a : b;
}


static inline void upsample_2d_shape_check_nhwc(
    const Tensor& input,
    const Tensor& grad_output,
    int nbatch,
    int nchannels,
    int input_height,
    int input_width,
    int output_height,
    int output_width) {
  TORCH_CHECK(
      input_height > 0 && input_width > 0 && output_height > 0 &&
          output_width > 0,
      "input and output sizes should be greater than 0,"
      " but got input (H: ",
      input_height,
      ", W: ",
      input_width,
      ") output (H: ",
      output_height,
      ", W: ",
      output_width,
      ")");

  if (input.defined()) {
    TORCH_CHECK(
        input.numel() != 0 && input.dim() == 4,
        "non-empty 4D input tensor expected but got a tensor with sizes ",
        input.sizes());
  } else if (grad_output.defined()) {
    check_dim_size(grad_output, 4, 0, nbatch);
    check_dim_size(grad_output, 4, 1, output_height);
    check_dim_size(grad_output, 4, 2, output_width);
    check_dim_size(grad_output, 4, 3, nchannels);
  }
}

__device__ __forceinline__ static int nearest_neighbor_compute_source_index(
    const float scale,
    int dst_index,
    int input_size) {
  const int src_index =
      min(static_cast<int>(floorf(dst_index * scale)), input_size - 1);
  return src_index;
}


} // namespace native
} // namespace at
