GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize > Struct Template Reference#
ck::GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize > Struct Template Reference
#include <gridwise_multiblock_reduce_second_half_batchnorm_backward_final.hpp>
Public Types | |
| using | ThreadClusterLengths_M_K = Sequence<MThreadClusterSize, KThreadClusterSize> |
| using | ThreadBufferDimAccessOrder |
| using | ThreadClusterArrangeOrder |
| using | ThreadReduceSrcDesc_M_1 |
| using | ThreadReduceDstDesc_M |
| using | BlockwiseReduce |
| using | ThreadwiseReduce |
| using | PassThroughOp = tensor_operation::element_wise::PassThrough |
Static Public Member Functions | |
| static __device__ void | Run (const XYGridDesc_M_K &x_grid_desc_m_k, const XYGridDesc_M_K &dy_grid_desc_m_k, const XYGridDesc_M_K &dx_grid_desc_m_k, const DscaleDbiasGridDesc_M_K &dscale_dbias_grid_desc_m_k, const MeanVarGridDesc_M &mean_var_grid_desc_m, const ScaleBiasGridDesc_M &scale_grid_desc_m, const ScaleBiasGridDesc_M &dscale_dbias_grid_desc_m, index_t blkgroup_size, long_index_t reduce_size, index_t num_xy_k_block_tile_iteration, index_t num_dscale_dbias_k_block_tile_iteration, const DscaleDbiasDataType *const __restrict__ p_reduce_dscale, const DscaleDbiasDataType *const __restrict__ p_reduce_dbias, const MeanVarDataType *const __restrict__ p_mean, const MeanVarDataType *const __restrict__ p_inv_var, const XDataType *const __restrict__ p_x, const DyDataType *const __restrict__ p_dy, const ScaleDataType *const __restrict__ p_scale, const DyElementwiseOp dy_elementwise_op, DxDataType *const __restrict__ p_dx, DscaleDbiasDataType *const __restrict__ p_dscale, DscaleDbiasDataType *const __restrict__ p_dbias) |
Static Public Attributes | |
| static constexpr bool | reorder_thread_cluster = (XDyDxVectorDim == 0) |
| static constexpr auto | thread_cluster_desc |
| static constexpr auto | I0 = Number<0>{} |
| static constexpr auto | I1 = Number<1>{} |
| static constexpr index_t | M_BlockTileSize = MThreadClusterSize * MThreadSliceSize |
| static constexpr index_t | K_BlockTileSize = KThreadClusterSize * KThreadSliceSize |
Member Typedef Documentation
◆ BlockwiseReduce
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
| using ck::GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize >::BlockwiseReduce |
Initial value:
PartitionedBlockwiseReduction<AccDataType,
BlockSize,
false>
Sequence< MThreadClusterSize, KThreadClusterSize > ThreadClusterLengths_M_K
Definition gridwise_multiblock_reduce_second_half_batchnorm_backward_final.hpp:110
typename conditional< reorder_thread_cluster, Sequence< 1, 0 >, Sequence< 0, 1 > >::type ThreadClusterArrangeOrder
Definition gridwise_multiblock_reduce_second_half_batchnorm_backward_final.hpp:115
Definition reduction_functions_blockwise.hpp:28
Definition reduction_operator.hpp:37
◆ PassThroughOp
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
| using ck::GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize >::PassThroughOp = tensor_operation::element_wise::PassThrough |
◆ ThreadBufferDimAccessOrder
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
| using ck::GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize >::ThreadBufferDimAccessOrder |
Initial value:
Definition utility/sequence.hpp:43
Definition utility/functional.hpp:100
◆ ThreadClusterArrangeOrder
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
| using ck::GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize >::ThreadClusterArrangeOrder |
Initial value:
◆ ThreadClusterLengths_M_K
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
| using ck::GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize >::ThreadClusterLengths_M_K = Sequence<MThreadClusterSize, KThreadClusterSize> |
◆ ThreadReduceDstDesc_M
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
| using ck::GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize >::ThreadReduceDstDesc_M |
Initial value:
__host__ __device__ constexpr auto make_naive_tensor_descriptor_packed(const Tuple< Lengths... > &lengths)
Definition tensor_descriptor_helper.hpp:101
__host__ __device__ constexpr auto make_tuple(Xs &&... xs)
Definition utility/tuple.hpp:211
◆ ThreadReduceSrcDesc_M_1
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
| using ck::GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize >::ThreadReduceSrcDesc_M_1 |
Initial value:
decltype(make_naive_tensor_descriptor_packed(
◆ ThreadwiseReduce
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
| using ck::GridwiseReduceSecondHalfBatchNormBackwardFinal< XDataType, DyDataType, DxDataType, AccDataType, ScaleDataType, DscaleDbiasDataType, MeanVarDataType, DyElementwiseOp, XYGridDesc_M_K, DscaleDbiasGridDesc_M_K, MeanVarGridDesc_M, ScaleBiasGridDesc_M, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XDyDxVectorDim, XSrcVectorSize, DySrcVectorSize, DxDstVectorSize, ScaleSrcVectorSize, DscaleDbiasDstVectorSize, MeanVarSrcVectorSize >::ThreadwiseReduce |
Initial value:
ThreadwiseReduction<AccDataType,
false>
decltype(make_naive_tensor_descriptor_packed( make_tuple(Number< MThreadSliceSize >{}, Number< 1 >{}))) ThreadReduceSrcDesc_M_1
Definition gridwise_multiblock_reduce_second_half_batchnorm_backward_final.hpp:121
decltype(make_naive_tensor_descriptor_packed(make_tuple(Number< MThreadSliceSize >{}))) ThreadReduceDstDesc_M
Definition gridwise_multiblock_reduce_second_half_batchnorm_backward_final.hpp:123
Definition reduction_functions_threadwise.hpp:23
Member Function Documentation
◆ Run()
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
|
inlinestatic |
Member Data Documentation
◆ I0
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
|
staticconstexpr |
◆ I1
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
|
staticconstexpr |
◆ K_BlockTileSize
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
|
staticconstexpr |
◆ M_BlockTileSize
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
|
staticconstexpr |
◆ reorder_thread_cluster
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
|
staticconstexpr |
◆ thread_cluster_desc
template<typename XDataType, typename DyDataType, typename DxDataType, typename AccDataType, typename ScaleDataType, typename DscaleDbiasDataType, typename MeanVarDataType, typename DyElementwiseOp, typename XYGridDesc_M_K, typename DscaleDbiasGridDesc_M_K, typename MeanVarGridDesc_M, typename ScaleBiasGridDesc_M, index_t BlockSize, index_t MThreadClusterSize, index_t KThreadClusterSize, index_t MThreadSliceSize, index_t KThreadSliceSize, index_t XDyDxVectorDim, index_t XSrcVectorSize, index_t DySrcVectorSize, index_t DxDstVectorSize, index_t ScaleSrcVectorSize, index_t DscaleDbiasDstVectorSize, index_t MeanVarSrcVectorSize>
|
staticconstexpr |
Initial value:
=
__host__ __device__ constexpr auto make_cluster_descriptor(const Lengths &lengths, ArrangeOrder order=typename arithmetic_sequence_gen< 0, Lengths::Size(), 1 >::type{})
Definition tensor_description/cluster_descriptor.hpp:13
The documentation for this struct was generated from the following file: