#include <ATen/ATen.h>

// Forward/backward compatiblity hack around
// https://github.com/pytorch/pytorch/commit/3aeb78079bcd68282fe9117088e138b77318e288
// pending more future-proof guidance from upstream.
// struct TypeShim
// {
//   const at::Type& payload;
//   TypeShim(const at::Type& type) : payload(type) {}
//   // Enable trivial conversion to a const at::Type& for pre-3aeb78
//   operator const at::Type&(){ return payload; };
//   // Enable dispatch switch statements to take *this directly for  post-3aeb78
//   //operator at::ScalarType(){ return payload.; };
// };

#define DISPATCH_FLOAT_AND_HALF(TYPE, LEVEL, NAME, ...) \
  switch(TYPE) \
  { \
    case at::ScalarType::Float: \
    { \
      using scalar_t_##LEVEL = float; \
      __VA_ARGS__; \
      break; \
    } \
    case at::ScalarType::Half: \
    { \
      using scalar_t_##LEVEL = at::Half; \
      __VA_ARGS__; \
      break; \
    } \
    default: \
      AT_ERROR(#NAME, " not implemented for '", toString(TYPE), "'");  \
  }


#define DISPATCH_DOUBLE_FLOAT_AND_HALF(TYPE, LEVEL, NAME, ...) \
  switch(TYPE) \
  { \
    case at::ScalarType::Double: \
    { \
      using scalar_t_##LEVEL = double; \
      __VA_ARGS__; \
      break; \
    } \
    case at::ScalarType::Float: \
    { \
      using scalar_t_##LEVEL = float; \
      __VA_ARGS__; \
      break; \
    } \
    case at::ScalarType::Half: \
    { \
      using scalar_t_##LEVEL = at::Half; \
      __VA_ARGS__; \
      break; \
    } \
    default: \
      AT_ERROR(#NAME, " not implemented for '", toString(TYPE), "'");  \
  }


  #define DISPATCH_DOUBLE_AND_FLOAT(TYPE, LEVEL, NAME, ...) \
  switch(TYPE) \
  { \
    case at::ScalarType::Double: \
    { \
      using scalar_t_##LEVEL = double; \
      __VA_ARGS__; \
      break; \
    } \
    case at::ScalarType::Float: \
    { \
      using scalar_t_##LEVEL = float; \
      __VA_ARGS__; \
      break; \
    } \
    default: \
      AT_ERROR(#NAME, " not implemented for '", toString(TYPE), "'");  \
  }


template<typename T>
__device__ __forceinline__ T reduce_block_into_lanes
  (T *x,
   T val,
   int lanes=1,
   bool share_result=false) // lanes is intended to be <= 32.
{
  int tid = threadIdx.x + threadIdx.y*blockDim.x;
  int blockSize = blockDim.x*blockDim.y; // blockSize is intended to be a multiple of 32.

  if(blockSize >= 64)
  {
    x[tid] = val;
    __syncthreads();
  }

  #pragma unroll
  for(int i = (blockSize >> 1); i >= 64; i >>= 1)
  {
    if(tid < i)
      x[tid] = x[tid] + x[tid+i];
    __syncthreads();
  }

  T final;

  if(tid < 32)
  {
    if(blockSize >= 64)
      final = x[tid] + x[tid+32];
    else
      final = val;
    // __SYNCWARP();

    #pragma unroll
    for(int i = 16; i >= lanes; i >>= 1)
      final = final + __shfl_down_sync(0xffffffff, final, i);
  }

  if(share_result)
  {
    if(tid < lanes)
      x[tid] = final; // EpilogueOp
    // Make sure the smem result is visible to all warps.
    __syncthreads();
  }

  return final;
}
