#pragma once

#include <ATen/ATen.h>

// Contents of this file are copied from THCUNN/common.h for the ease of porting
// THCUNN functions into ATen.

namespace at { namespace cuda { namespace detail {

// CUDA: grid stride looping
//
// int64_t _i_n_d_e_x specifically prevents overflow in the loop increment.
// If input.numel() < INT_MAX, _i_n_d_e_x < INT_MAX, except after the final
// iteration of the loop where _i_n_d_e_x += blockDim.x * gridDim.x can be
// greater than INT_MAX.  But in that case _i_n_d_e_x >= n, so there are no
// further iterations and the overflowed value in i=_i_n_d_e_x is not used.
#define CUDA_KERNEL_LOOP_TYPE(i, n, index_type)                         \
  int64_t _i_n_d_e_x = blockIdx.x * blockDim.x + threadIdx.x;           \
  for (index_type i=_i_n_d_e_x; _i_n_d_e_x < (n); _i_n_d_e_x+=blockDim.x * gridDim.x, i=_i_n_d_e_x)

#define CUDA_KERNEL_LOOP(i, n) CUDA_KERNEL_LOOP_TYPE(i, n, int)


// Use 1024 threads per block, which requires cuda sm_2x or above
constexpr int CUDA_NUM_THREADS = 1024;

// CUDA: number of blocks for threads.
inline int GET_BLOCKS(const int N)
{
  AT_ASSERTM(N > 0, "CUDA kernel launch blocks must be positive, but got N=", N);
  return (N + CUDA_NUM_THREADS - 1) / CUDA_NUM_THREADS;
}

inline int GET_BLOCKS(const int64_t N) {
  AT_ASSERTM(N > 0, "CUDA kernel launch blocks must be positive, but got N=", N);
  constexpr int64_t max_int = std::numeric_limits<int>::max();
  return GET_BLOCKS(static_cast<int>(std::min(max_int, N)));
}

}}}  // namespace at::cuda::detail
