Eigen::NoOpOutputKernel Struct Reference

#include <TensorContraction.h>

Public Member Functions
template<typename Index , typename Scalar >
EIGEN_ALWAYS_INLINE void	operator() (const internal::blas_data_mapper< Scalar, Index, ColMajor > &output_mapper, const TensorContractionParams &params, Index i, Index j, Index num_rows, Index num_cols) const

Member Function Documentation

operator()()

template<typename Index , typename Scalar >

EIGEN_ALWAYS_INLINE void Eigen::NoOpOutputKernel::operator() ( const internal::blas_data_mapper< Scalar, Index, ColMajor > &  output_mapper, const TensorContractionParams &  params, Index  i, Index  j, Index  num_rows, Index  num_cols  ) const

inline

Tensor contraction evaluator calls this kernel after finishing each block of output matrix. Output blocks belong to the 2-dimensional output tensor.

TensorContractionParams contains contraction dimensions information required to map output 2-d space into the expected output tensor space (potentially higher dimensional).

Parameters

[in]	output_mapper	Access to output tensor memory
[in]	params	Tensor contraction parameters
[in]	i	Index of a first row available through output_mapper
[in]	j	Index of a first column available through output_mapper
[in]	num_rows	Number of available rows
[in]	num_cols	Number of available columns

                                                            {
    EIGEN_UNUSED_VARIABLE(output_mapper);
    EIGEN_UNUSED_VARIABLE(params);
    EIGEN_UNUSED_VARIABLE(i);
    EIGEN_UNUSED_VARIABLE(j);
    EIGEN_UNUSED_VARIABLE(num_rows);
    EIGEN_UNUSED_VARIABLE(num_cols);
  }

References EIGEN_UNUSED_VARIABLE, i, j, and Particles2023AnalysisHung::params.

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

• TensorContraction.h