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

DeviceBatchNormInfer&lt; XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim &gt; Struct Template Reference#

Composable Kernel: ck::tensor_operation::device::DeviceBatchNormInfer< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim > Struct Template Reference
ck::tensor_operation::device::DeviceBatchNormInfer< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim > Struct Template Referenceabstract

#include <device_batchnorm_infer.hpp>

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

Public Member Functions

virtual std::unique_ptr< BaseArgumentMakeArgumentPointer (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, const void *estimatedMean, const void *estimatedInvVariance, void *p_y)=0
virtual std::unique_ptr< BaseInvokerMakeInvokerPointer ()=0
Public Member Functions inherited from ck::tensor_operation::device::BaseOperator
 BaseOperator ()=default
 BaseOperator (const BaseOperator &)=default
BaseOperatoroperator= (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::DeviceBatchNormInfer< 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,
const void * estimatedMean,
const void * estimatedInvVariance,
void * p_y )
pure virtual

◆ 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::DeviceBatchNormInfer< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim >::MakeInvokerPointer ( )
pure virtual

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