DeviceBatchNormFwd< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim > Struct Template Reference

• ck
• tensor_operation
• device
• DeviceBatchNormFwd

Public Member Functions | List of all members

ck::tensor_operation::device::DeviceBatchNormFwd< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim > Struct Template Referenceabstract

#include <device_batchnorm_forward.hpp>

Inheritance diagram for ck::tensor_operation::device::DeviceBatchNormFwd< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim >:

Public Member Functions
virtual std::unique_ptr< BaseArgument >	MakeArgumentPointer (const std::array< index_t, Rank > xyLengths, const std::array< index_t, Rank > xStrides, const std::array< index_t, Rank > yStrides, const std::array< int, NumBatchNormReduceDim > reduceDims, const std::array< index_t, Rank - NumBatchNormReduceDim > bnScaleBiasMeanVarLengths, const std::array< index_t, Rank - NumBatchNormReduceDim > bnScaleStrides, const std::array< index_t, Rank - NumBatchNormReduceDim > bnBiasStrides, const std::array< index_t, Rank - NumBatchNormReduceDim > bnMeanVarStrides, const void *p_x, const void *bnScale, const void *bnBias, double epsilon, const YElementwiseOp y_elementwise_op, void *p_y, void *resultSaveMean, void *resultSaveInvVariance, double exponentialAverageFactor, void *resultRunningMean, void *resultRunningVariance)=0
virtual std::unique_ptr< BaseInvoker >	MakeInvokerPointer ()=0
Public Member Functions inherited from ck::tensor_operation::device::BaseOperator
	BaseOperator ()=default
	BaseOperator (const BaseOperator &)=default
BaseOperator &	operator= (const BaseOperator &)=default
virtual bool	IsSupportedArgument (const BaseArgument *)
virtual std::string	GetTypeString () const
virtual std::string	GetInstanceString () const
virtual std::string	GetTypeIdName () const
virtual std::optional< std::string >	GetObjectName () const
virtual std::optional< std::string >	GetTemplateInfo () const
virtual std::string	GetTypeIdHashCode () const
virtual size_t	GetWorkSpaceSize (const BaseArgument *) const
virtual void	SetWorkSpacePointer (BaseArgument *p_arg, void *p_workspace, const StreamConfig &=StreamConfig{}) const
virtual	~BaseOperator ()

Member Function Documentation

◆ MakeArgumentPointer()

template<typename XDataType, typename YDataType, typename AccDataType, typename ScaleDataType, typename BiasDataType, typename MeanVarDataType, typename YElementwiseOp, index_t Rank, index_t NumBatchNormReduceDim>

virtual std::unique_ptr< BaseArgument > ck::tensor_operation::device::DeviceBatchNormFwd< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim >::MakeArgumentPointer ( const std::array< index_t, Rank > xyLengths, const std::array< index_t, Rank > xStrides, const std::array< index_t, Rank > yStrides, const std::array< int, NumBatchNormReduceDim > reduceDims, const std::array< index_t, Rank - NumBatchNormReduceDim > bnScaleBiasMeanVarLengths, const std::array< index_t, Rank - NumBatchNormReduceDim > bnScaleStrides, const std::array< index_t, Rank - NumBatchNormReduceDim > bnBiasStrides, const std::array< index_t, Rank - NumBatchNormReduceDim > bnMeanVarStrides, const void * p_x, const void * bnScale, const void * bnBias, double epsilon, const YElementwiseOp y_elementwise_op, void * p_y, void * resultSaveMean, void * resultSaveInvVariance, double exponentialAverageFactor, void * resultRunningMean, void * resultRunningVariance )

pure virtual

Implemented in ck::tensor_operation::device::DeviceBatchNormFwdImpl< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim, UseMultiblockInK, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XSrcYDstVectorDim, XSrcVectorSize, YDstVectorSize, ScaleSrcVectorSize, BiasSrcVectorSize, MeanVarSrcDstVectorSize >, and ck::tensor_operation::device::DeviceBatchNormFwdImpl< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim, UseMultiblockInK, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XSrcYDstVectorDim, XSrcVectorSize, YDstVectorSize, ScaleSrcVectorSize, BiasSrcVectorSize, MeanVarSrcDstVectorSize >.

◆ MakeInvokerPointer()

template<typename XDataType, typename YDataType, typename AccDataType, typename ScaleDataType, typename BiasDataType, typename MeanVarDataType, typename YElementwiseOp, index_t Rank, index_t NumBatchNormReduceDim>

virtual std::unique_ptr< BaseInvoker > ck::tensor_operation::device::DeviceBatchNormFwd< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim >::MakeInvokerPointer ( )

pure virtual

Implemented in ck::tensor_operation::device::DeviceBatchNormFwdImpl< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim, UseMultiblockInK, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XSrcYDstVectorDim, XSrcVectorSize, YDstVectorSize, ScaleSrcVectorSize, BiasSrcVectorSize, MeanVarSrcDstVectorSize >, and ck::tensor_operation::device::DeviceBatchNormFwdImpl< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim, UseMultiblockInK, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XSrcYDstVectorDim, XSrcVectorSize, YDstVectorSize, ScaleSrcVectorSize, BiasSrcVectorSize, MeanVarSrcDstVectorSize >.

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The documentation for this struct was generated from the following file:

• device_batchnorm_forward.hpp