Eigen::TensorOpCost Class Reference

#include <TensorCostModel.h>

Public Member Functions
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double	bytes_loaded () const
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double	bytes_stored () const
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double	compute_cycles () const
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost	cwiseMax (const TensorOpCost &rhs) const
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost	cwiseMin (const TensorOpCost &rhs) const
EIGEN_DEVICE_FUNC void	dropMemoryCost ()
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost &	operator*= (double rhs)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost &	operator+= (const TensorOpCost &rhs)
EIGEN_DEVICE_FUNC	TensorOpCost ()
EIGEN_DEVICE_FUNC	TensorOpCost (double bytes_loaded, double bytes_stored, double compute_cycles)
EIGEN_DEVICE_FUNC	TensorOpCost (double bytes_loaded, double bytes_stored, double compute_cycles, bool vectorized, double packet_size)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double	total_cost (double load_cost, double store_cost, double compute_cost) const

Static Public Member Functions
template<typename ArgType >
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int	AddCost ()
template<typename SrcType , typename TargetType >
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int	CastCost ()
template<typename ArgType >
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int	DivCost ()
template<typename ArgType >
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int	ModCost ()
template<typename ArgType >
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int	MulCost ()

Private Attributes
double	bytes_loaded_
double	bytes_stored_
double	compute_cycles_

Friends
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE friend TensorOpCost	operator* (TensorOpCost lhs, double rhs)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE friend TensorOpCost	operator* (double lhs, TensorOpCost rhs)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE friend TensorOpCost	operator+ (TensorOpCost lhs, const TensorOpCost &rhs)
std::ostream &	operator<< (std::ostream &os, const TensorOpCost &tc)

Detailed Description

Definition at line 25 of file TensorCostModel.h.

Constructor & Destructor Documentation

EIGEN_DEVICE_FUNC Eigen::TensorOpCost::TensorOpCost ( )

inline

Definition at line 55 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC Eigen::TensorOpCost::TensorOpCost ( double  bytes_loaded, double  bytes_stored, double  compute_cycles  )

inline

Definition at line 57 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC Eigen::TensorOpCost::TensorOpCost ( double  bytes_loaded, double  bytes_stored, double  compute_cycles, bool  vectorized, double  packet_size  )

inline

Definition at line 63 of file TensorCostModel.h.

Member Function Documentation

template<typename ArgType >

static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int Eigen::TensorOpCost::AddCost ( )

inlinestatic

Definition at line 36 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double Eigen::TensorOpCost::bytes_loaded ( ) const

inline

Definition at line 74 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double Eigen::TensorOpCost::bytes_stored ( ) const

inline

Definition at line 77 of file TensorCostModel.h.

template<typename SrcType , typename TargetType >

static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int Eigen::TensorOpCost::CastCost ( )

inlinestatic

Definition at line 49 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double Eigen::TensorOpCost::compute_cycles ( ) const

inline

Definition at line 80 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost Eigen::TensorOpCost::cwiseMax ( const TensorOpCost &  rhs ) const

inline

Definition at line 106 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost Eigen::TensorOpCost::cwiseMin ( const TensorOpCost &  rhs ) const

inline

Definition at line 97 of file TensorCostModel.h.

template<typename ArgType >

static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int Eigen::TensorOpCost::DivCost ( )

inlinestatic

Definition at line 40 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC void Eigen::TensorOpCost::dropMemoryCost ( )

inline

Definition at line 91 of file TensorCostModel.h.

template<typename ArgType >

static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int Eigen::TensorOpCost::ModCost ( )

inlinestatic

Definition at line 45 of file TensorCostModel.h.

template<typename ArgType >

static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int Eigen::TensorOpCost::MulCost ( )

inlinestatic

Definition at line 31 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost& Eigen::TensorOpCost::operator*= ( double  rhs )

inline

Definition at line 122 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost& Eigen::TensorOpCost::operator+= ( const TensorOpCost &  rhs )

inline

Definition at line 114 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double Eigen::TensorOpCost::total_cost ( double  load_cost, double  store_cost, double  compute_cost  ) const

inline

Definition at line 83 of file TensorCostModel.h.

Friends And Related Function Documentation

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE friend TensorOpCost operator* ( TensorOpCost  lhs, double  rhs  )

friend

Definition at line 134 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE friend TensorOpCost operator* ( double  lhs, TensorOpCost  rhs  )

friend

Definition at line 139 of file TensorCostModel.h.

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE friend TensorOpCost operator+ ( TensorOpCost  lhs, const TensorOpCost &  rhs  )

friend

Definition at line 129 of file TensorCostModel.h.

std::ostream& operator<< ( std::ostream &  os, const TensorOpCost &  tc  )

friend

Definition at line 145 of file TensorCostModel.h.

Member Data Documentation

double Eigen::TensorOpCost::bytes_loaded_

private

Definition at line 152 of file TensorCostModel.h.

double Eigen::TensorOpCost::bytes_stored_

private

Definition at line 153 of file TensorCostModel.h.

double Eigen::TensorOpCost::compute_cycles_

private

Definition at line 154 of file TensorCostModel.h.

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

• TensorCostModel.h