Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType > Class Template Reference

#include <TensorConvolution.h>

+ Inheritance diagram for Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >:

Public Types

typedef Eigen::internal::traits< TensorConvolutionOp >::Scalar Scalar
 
typedef Eigen::NumTraits< Scalar >::Real RealScalar
 
typedef internal::promote_storage_type< typename InputXprType::CoeffReturnType, typename KernelXprType::CoeffReturnType >::ret CoeffReturnType
 
typedef Eigen::internal::nested< TensorConvolutionOp >::type Nested
 
typedef Eigen::internal::traits< TensorConvolutionOp >::StorageKind StorageKind
 
typedef Eigen::internal::traits< TensorConvolutionOp >::Index Index
 
- Public Types inherited from Eigen::TensorBase< TensorConvolutionOp< Indices, InputXprType, KernelXprType >, ReadOnlyAccessors >
typedef TensorBase< TensorConvolutionOp< Indices, InputXprType, KernelXprType >, ReadOnlyAccessors > Base
 
typedef internal::traits< TensorConvolutionOp< Indices, InputXprType, KernelXprType > > DerivedTraits
 
typedef DerivedTraits::Scalar Scalar
 
typedef DerivedTraits::Index Index
 
typedef Scalar CoeffReturnType
 

Public Member Functions

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp (const InputXprType &input, const KernelXprType &kernel, const Indices &dims)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Indices & indices () const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const internal::remove_all_t< typename InputXprType::Nested > & inputExpression () const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const internal::remove_all_t< typename KernelXprType::Nested > & kernelExpression () const
 
- Public Member Functions inherited from Eigen::TensorBase< TensorConvolutionOp< Indices, InputXprType, KernelXprType >, ReadOnlyAccessors >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & setZero ()
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & setConstant (const Scalar &val)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & setRandom ()
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & setRandom ()
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & setValues (const typename internal::Initializer< TensorConvolutionOp< Indices, InputXprType, KernelXprType >, NumDimensions >::InitList &vals)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & operator+= (const OtherDerived &other)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & operator-= (const OtherDerived &other)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & operator*= (const OtherDerived &other)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & operator/= (const OtherDerived &other)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorLayoutSwapOp< const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > swap_layout () const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorLayoutSwapOp< TensorConvolutionOp< Indices, InputXprType, KernelXprType > > swap_layout ()
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorConcatenationOp< const Axis, const TensorConvolutionOp< Indices, InputXprType, KernelXprType >, const OtherDerived > concatenate (const OtherDerived &other, const Axis &axis) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConcatenationOp< const Axis, TensorConvolutionOp< Indices, InputXprType, KernelXprType >, OtherDerived > concatenate (const OtherDerived &other, const Axis &axis)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorReshapingOp< const NewDimensions, const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > reshape (const NewDimensions &newDimensions) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorReshapingOp< const NewDimensions, TensorConvolutionOp< Indices, InputXprType, KernelXprType > > reshape (const NewDimensions &newDimensions)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorSlicingOp< const StartIndices, const Sizes, const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > slice (const StartIndices &startIndices, const Sizes &sizes) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorSlicingOp< const StartIndices, const Sizes, TensorConvolutionOp< Indices, InputXprType, KernelXprType > > slice (const StartIndices &startIndices, const Sizes &sizes)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorStridingSlicingOp< const StartIndices, const StopIndices, const Strides, const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > stridedSlice (const StartIndices &startIndices, const StopIndices &stopIndices, const Strides &strides) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorStridingSlicingOp< const StartIndices, const StopIndices, const Strides, TensorConvolutionOp< Indices, InputXprType, KernelXprType > > stridedSlice (const StartIndices &startIndices, const StopIndices &stopIndices, const Strides &strides)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorChippingOp< DimId, const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > chip (const Index offset) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorChippingOp< DimId, TensorConvolutionOp< Indices, InputXprType, KernelXprType > > chip (const Index offset)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorChippingOp< Dynamic, const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > chip (const Index offset, const Index dim) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorChippingOp< Dynamic, TensorConvolutionOp< Indices, InputXprType, KernelXprType > > chip (const Index offset, const Index dim)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorReverseOp< const ReverseDimensions, const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > reverse (const ReverseDimensions &rev) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorReverseOp< const ReverseDimensions, TensorConvolutionOp< Indices, InputXprType, KernelXprType > > reverse (const ReverseDimensions &rev)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorRollOp< const Rolls, const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > roll (const Rolls &roll) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorRollOp< const Rolls, TensorConvolutionOp< Indices, InputXprType, KernelXprType > > roll (const Rolls &roll)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorShufflingOp< const Shuffle, const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > shuffle (const Shuffle &shfl) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorShufflingOp< const Shuffle, TensorConvolutionOp< Indices, InputXprType, KernelXprType > > shuffle (const Shuffle &shfl)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorStridingOp< const Strides, const TensorConvolutionOp< Indices, InputXprType, KernelXprType > > stride (const Strides &strides) const
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorStridingOp< const Strides, TensorConvolutionOp< Indices, InputXprType, KernelXprType > > stride (const Strides &strides)
 
TensorDevice< TensorConvolutionOp< Indices, InputXprType, KernelXprType >, DeviceType > device (const DeviceType &dev)
 
TensorAsyncDevice< TensorConvolutionOp< Indices, InputXprType, KernelXprType >, DeviceType, DoneCallback > device (const DeviceType &dev, DoneCallback done)
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & derived ()
 
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorConvolutionOp< Indices, InputXprType, KernelXprType > & derived () const
 

Protected Attributes

InputXprType::Nested m_input_xpr
 
KernelXprType::Nested m_kernel_xpr
 
const Indices m_indices
 

Additional Inherited Members

- Static Public Attributes inherited from Eigen::TensorBase< TensorConvolutionOp< Indices, InputXprType, KernelXprType >, ReadOnlyAccessors >
static constexpr int NumDimensions
 
- Protected Member Functions inherited from Eigen::TensorBase< TensorConvolutionOp< Indices, InputXprType, KernelXprType >, ReadOnlyAccessors >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConvolutionOp< Indices, InputXprType, KernelXprType > & operator= (const OtherDerived &other)
 

Member Typedef Documentation

◆ CoeffReturnType

template<typename Indices , typename InputXprType , typename KernelXprType >
typedef internal::promote_storage_type<typename InputXprType::CoeffReturnType, typename KernelXprType::CoeffReturnType>::ret Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::CoeffReturnType

◆ Index

template<typename Indices , typename InputXprType , typename KernelXprType >
typedef Eigen::internal::traits<TensorConvolutionOp>::Index Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::Index

◆ Nested

template<typename Indices , typename InputXprType , typename KernelXprType >
typedef Eigen::internal::nested<TensorConvolutionOp>::type Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::Nested

◆ RealScalar

template<typename Indices , typename InputXprType , typename KernelXprType >
typedef Eigen::NumTraits<Scalar>::Real Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::RealScalar

◆ Scalar

template<typename Indices , typename InputXprType , typename KernelXprType >
typedef Eigen::internal::traits<TensorConvolutionOp>::Scalar Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::Scalar

◆ StorageKind

template<typename Indices , typename InputXprType , typename KernelXprType >
typedef Eigen::internal::traits<TensorConvolutionOp>::StorageKind Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::StorageKind

Constructor & Destructor Documentation

◆ TensorConvolutionOp()

template<typename Indices , typename InputXprType , typename KernelXprType >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::TensorConvolutionOp ( const InputXprType &  input,
const KernelXprType &  kernel,
const Indices &  dims 
)
inline
248  : m_input_xpr(input), m_kernel_xpr(kernel), m_indices(dims) {}
const Indices m_indices
Definition: TensorConvolution.h:266
InputXprType::Nested m_input_xpr
Definition: TensorConvolution.h:264
KernelXprType::Nested m_kernel_xpr
Definition: TensorConvolution.h:265

Member Function Documentation

◆ indices()

template<typename Indices , typename InputXprType , typename KernelXprType >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Indices& Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::indices ( ) const
inline

◆ inputExpression()

template<typename Indices , typename InputXprType , typename KernelXprType >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const internal::remove_all_t<typename InputXprType::Nested>& Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::inputExpression ( ) const
inline
Returns
the nested expressions
254  {
255  return m_input_xpr;
256  }

References Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::m_input_xpr.

◆ kernelExpression()

template<typename Indices , typename InputXprType , typename KernelXprType >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const internal::remove_all_t<typename KernelXprType::Nested>& Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::kernelExpression ( ) const
inline

Member Data Documentation

◆ m_indices

template<typename Indices , typename InputXprType , typename KernelXprType >
const Indices Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::m_indices
protected

◆ m_input_xpr

template<typename Indices , typename InputXprType , typename KernelXprType >
InputXprType::Nested Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::m_input_xpr
protected

◆ m_kernel_xpr

template<typename Indices , typename InputXprType , typename KernelXprType >
KernelXprType::Nested Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >::m_kernel_xpr
protected

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