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#ifndef CAFFE2_UTILS_MATH_REDUCE_CUH_
#define CAFFE2_UTILS_MATH_REDUCE_CUH_
#include <cub/block/block_reduce.cuh>
#include <cub/cub.cuh>
#include "caffe2/core/common_gpu.h"
namespace caffe2 {
template <typename T>
using BlockReduce = cub::BlockReduce<T, CAFFE_CUDA_NUM_THREADS>;
template <typename T, int kBlockDimX, int kBlockDimY>
using BlockReduce2D = cub::
BlockReduce<T, kBlockDimX, cub::BLOCK_REDUCE_WARP_REDUCTIONS, kBlockDimY>;
#define DISPATCH_REDUCE_KERNEL_BY_2D_BLOCK_WITH_TYPE_1( \
size, Func, T, grid_dim, cuda_stream, ...) \
do { \
if (size >= 128) { \
Func<T, 1, 128> \
<<<grid_dim, dim3(1, 128), 0, cuda_stream>>>(__VA_ARGS__); \
} else if (size >= 64) { \
Func<T, 2, 64><<<grid_dim, dim3(2, 64), 0, cuda_stream>>>(__VA_ARGS__); \
} else if (size >= 32) { \
Func<T, 4, 32><<<grid_dim, dim3(4, 32), 0, cuda_stream>>>(__VA_ARGS__); \
} else { \
Func<T, 8, 16><<<grid_dim, dim3(8, 16), 0, cuda_stream>>>(__VA_ARGS__); \
} \
} while (false)
#define DISPATCH_REDUCE_KERNEL_BY_2D_BLOCK_WITH_TYPE_2( \
size, Func, T1, T2, grid_dim, cuda_stream, ...) \
do { \
if (size >= 128) { \
Func<T1, T2, 1, 128> \
<<<grid_dim, dim3(1, 128), 0, cuda_stream>>>(__VA_ARGS__); \
} else if (size >= 64) { \
Func<T1, T2, 2, 64> \
<<<grid_dim, dim3(2, 64), 0, cuda_stream>>>(__VA_ARGS__); \
} else if (size >= 32) { \
Func<T1, T2, 4, 32> \
<<<grid_dim, dim3(4, 32), 0, cuda_stream>>>(__VA_ARGS__); \
} else { \
Func<T1, T2, 8, 16> \
<<<grid_dim, dim3(8, 16), 0, cuda_stream>>>(__VA_ARGS__); \
} \
} while (false)
} // namespace caffe2
#endif // CAFFE2_UTILS_MATH_REDUCE_CUH_
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