Tiny Tensor3 class template. More...

#include <tiny_algebra.hpp>

Public Types
typedef Intern::DataTypeExtractor< ValueType >::MyDataType	DataType
	The basic data type buried in the lowest level of the vector. More...

typedef Matrix< T_, m_, n_, sm_, sn_ >	PlaneType
	Type of tensor data; that's an array of matrices. More...

typedef T_	ValueType
	the data type of the tensor More...

Public Member Functions
CUDA_HOST_DEVICE	Tensor3 ()
	default constructor More...

template<typename Tx_ >
CUDA_HOST_DEVICE	Tensor3 (const std::initializer_list< std::initializer_list< std::initializer_list< Tx_ > > > &x)
	Initializer list constructor. More...

template<typename Tx_ >
CUDA_HOST_DEVICE	Tensor3 (const std::initializer_list< Tx_ > &x)
	Initializer list constructor. More...

template<int sla_, int sma_, int sna_>
CUDA_HOST_DEVICE	Tensor3 (const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > &a)
	copy-constructor More...

CUDA_HOST_DEVICE	Tensor3 (DataType value)
	value-assignment constructor More...

template<int lt_, int mt_, int nt_, int slt_, int smt_, int snt_, int smb_, int snb_, int smd_, int snd_>
CUDA_HOST_DEVICE Tensor3 &	add_double_mat_mult (const Tensor3< T_, lt_, mt_, nt_, slt_, smt_, snt_ > &t, const Matrix< T_, nt_, n_, smb_, snb_ > &b, const Matrix< T_, mt_, m_, smd_, snd_ > &d, DataType alpha=DataType(1))
	Adds the result of a matrix-tensor-matrix double-product onto this tensor. More...

template<int k_, int sma_, int sna_, int slt_, int smt_, int snt_>
CUDA_HOST_DEVICE Tensor3 &	add_mat_tensor_mult (const Matrix< T_, l_, k_, sma_, sna_ > &a, const Tensor3< T_, k_, m_, n_, slt_, smt_, snt_ > &t, DataType alpha=DataType(1))
	Adds the result of a matrix-tensor product onto this tensor. More...

template<int slx_, int sma_, int sna_>
CUDA_HOST_DEVICE Tensor3 &	add_vec_mat_outer_product (const Vector< T_, l_, slx_ > &x, const Matrix< T_, m_, n_, sma_, sna_ > &a, DataType alpha=DataType(1))
	Adds the result of a vector-matrix outer product onto this tensor. More...

template<typename Tx_ , int sla_, int sma_, int sna_>
CUDA_HOST_DEVICE void	convert (const Tensor3< Tx_, l_, m_, n_, sla_, sma_, sna_ > &a)
	conversion operator More...

template<int sla_, int sma_, int sna_>
CUDA_HOST_DEVICE void	copy (const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > &a)
	Copies a tensor3. More...

template<int ll_, int mm_, int nn_, int la_, int ma_, int na_, int sla_, int sma_, int sna_>
CUDA_HOST_DEVICE void	copy_n (const Tensor3< T_, la_, ma_, na_, sla_, sma_, sna_ > &a)
	Copies the upper left mm_ x nn_ entries of a matrix. More...

CUDA_HOST_DEVICE void	format (DataType alpha=DataType(0))
	formats the tensor More...

CUDA_HOST_DEVICE T_ &	operator() (int h, int i, int j)
	Access operator. More...

CUDA_HOST_DEVICE const T_ &	operator() (int h, int i, int j) const
	Access operator. More...

CUDA_HOST_DEVICE Tensor3 &	operator*= (DataType alpha)
	scalar right-multiply-by operator More...

template<int sla_, int sma_, int sna_>
CUDA_HOST_DEVICE Tensor3 &	operator+= (const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > &a)
	tensor component-wise addition operator More...

template<int sla_, int sma_, int sna_>
CUDA_HOST_DEVICE Tensor3 &	operator-= (const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > &a)
	tensor component-wise subtraction operator More...

template<typename Tx_ >
CUDA_HOST_DEVICE Tensor3 &	operator= (const std::initializer_list< std::initializer_list< std::initializer_list< Tx_ > > > &x)
	Initializer list assignment operator. More...

template<typename Tx_ >
CUDA_HOST_DEVICE Tensor3 &	operator= (const std::initializer_list< Tx_ > &x)
	Initializer list assignment operator. More...

template<int sla_, int sma_, int sna_>
CUDA_HOST_DEVICE Tensor3 &	operator= (const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > &a)
	copy-assignment operator More...

CUDA_HOST_DEVICE Tensor3 &	operator= (DataType value)
	value-assignment operator More...

CUDA_HOST_DEVICE PlaneType &	operator[] (int h)
	Plane-Access operator. More...

CUDA_HOST_DEVICE const PlaneType &	operator[] (int h) const
	Plane-Access operator. More...

Static Public Member Functions
static CUDA_HOST_DEVICE Tensor3	null ()
	Returns a null-tensor. More...

Public Attributes
PlaneType	v [sl_]
	Actual tensor data. More...

Static Public Attributes
static constexpr int	l = l_
	the tube count of the tensor More...

static constexpr int	m = m_
	the row count of the tensor More...

static constexpr int	n = n_
	the column count of the tensor More...

static constexpr int	sl = sl_
	the tube stride of the tensor More...

static constexpr int	sm = sm_
	the row stride of the tensor More...

static constexpr int	sn = sn_
	the column stride of the tensor More...

Detailed Description

template<typename T_, int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>
class FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >

Tiny Tensor3 class template.

This class template implements a 3rd-order tensor whose datatype and sizes are given at compile-time. This class template implements a 3rd order tensor whose value type and size is given at compile-time. The value type can be a primitive type, or some other object like a Vector.

Technically, the Tensor3 class template realizes a l-tuple of m-by-n matrices.

Template Parameters

T_	The datatype that the vector shall contain.
l_,m_,n_	The number tubes, rows and columns of the tensor. Must be > 0.
sl_,The	tube stride of the tensor. Must be >= `l_`.
sm_	The row stride of the tensor. Must be >= `m_`.
sn_	The column stride of the tensor. Must be >= `n_`.

Author: Peter Zajac

Definition at line 120 of file tiny_algebra.hpp.

Member Typedef Documentation

◆ DataType

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

typedef Intern::DataTypeExtractor<ValueType>::MyDataType FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::DataType

The basic data type buried in the lowest level of the vector.

Definition at line 2575 of file tiny_algebra.hpp.

◆ PlaneType

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

typedef Matrix<T_, m_, n_, sm_, sn_> FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::PlaneType

Type of tensor data; that's an array of matrices.

Definition at line 2578 of file tiny_algebra.hpp.

◆ ValueType

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

typedef T_ FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::ValueType

the data type of the tensor

Definition at line 2573 of file tiny_algebra.hpp.

Constructor & Destructor Documentation

◆ Tensor3() [1/5]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

CUDA_HOST_DEVICE FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::Tensor3 ( )

inline

default constructor

Definition at line 2583 of file tiny_algebra.hpp.

Referenced by FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::null().

◆ Tensor3() [2/5]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

CUDA_HOST_DEVICE FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::Tensor3 ( DataType value )

inlineexplicit

value-assignment constructor

Definition at line 2588 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and FEAT::value.

◆ Tensor3() [3/5]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<typename Tx_ >

CUDA_HOST_DEVICE FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::Tensor3 ( const std::initializer_list< Tx_ > & x )

inlineexplicit

Initializer list constructor.

Parameters

[in] x The initializer list whose elements are to be assigned.

Definition at line 2601 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and XASSERTM.

◆ Tensor3() [4/5]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<typename Tx_ >

CUDA_HOST_DEVICE FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::Tensor3 ( const std::initializer_list< std::initializer_list< std::initializer_list< Tx_ > > > & x )

inlineexplicit

Initializer list constructor.

Parameters

[in] x The initializer list whose elements are to be assigned.

Definition at line 2616 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and XASSERTM.

◆ Tensor3() [5/5]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<int sla_, int sma_, int sna_>

CUDA_HOST_DEVICE FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::Tensor3 ( const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > & a )

inline

copy-constructor

Definition at line 2626 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v.

Member Function Documentation

◆ add_double_mat_mult()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<int lt_, int mt_, int nt_, int slt_, int smt_, int snt_, int smb_, int snb_, int smd_, int snd_>

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::add_double_mat_mult	(	const Tensor3< T_, lt_, mt_, nt_, slt_, smt_, snt_ > &	t,
		const Matrix< T_, nt_, n_, smb_, snb_ > &	b,
		const Matrix< T_, mt_, m_, smd_, snd_ > &	d,
		DataType	alpha = `DataType(1)`
	)

inline

Adds the result of a matrix-tensor-matrix double-product onto this tensor.

Let K denote this l-by-m-by-n tensor, T the l-by-m'-by-n' input tensor, B the m'-by-m and D the n'-by-n input matrices, then this operation computes:

\[ \forall h\in\{0,...,l-1\}, i\in\{0,...,m-1\}, j\in\{0,...,n-1\}:~ K_{hij} \leftarrow K_{hij} + \alpha \sum_{p=0}^{m'-1}\sum_{q=0}^{n'-1} T_{hpq}\cdot B_{pi}\cdot D_{qj} \]

Note: This function is used for the computation of second-order derivatives by the chain rule.

Parameters

[in]	t	The l-by-m'-by-n' tensor that serves as the inner multiplicand.
[in]	b	The m'-by-m matrix that serves as the left multiplicand.
[in]	d	The n'-by-n matrix that serves as the right multiplicand.
[in]	alpha	A scaling factor for the product.

Returns: *this

Definition at line 2890 of file tiny_algebra.hpp.

References ASSERTM, and FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator()().

◆ add_mat_tensor_mult()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<int k_, int sma_, int sna_, int slt_, int smt_, int snt_>

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::add_mat_tensor_mult	(	const Matrix< T_, l_, k_, sma_, sna_ > &	a,
		const Tensor3< T_, k_, m_, n_, slt_, smt_, snt_ > &	t,
		DataType	alpha = `DataType(1)`
	)

inline

Adds the result of a matrix-tensor product onto this tensor.

Let K denote this tensor, A the input matrix and T the input tensor, then this operation computes:

\[ \forall h\in\{0,...,l-1\}, i\in\{0,...,m-1\},j\in\{0,...,n-1\}:~ K_{hij} \leftarrow K_{hij} + \alpha \sum_{p=0}^{k-1} A_{hp}\cdot T_{pij}\]

Note: This function is used for the computation of second-order derivatives by the chain rule.

Parameters

[in]	a	The l-by-k matrix that serves as the left multiplicand.
[in]	t	The k-by-m-by-n tensor that serves as the right multiplicand.
[in]	alpha	A scaling factor for the product.

Returns: *this

Definition at line 2836 of file tiny_algebra.hpp.

References ASSERTM, and FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator()().

◆ add_vec_mat_outer_product()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<int slx_, int sma_, int sna_>

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::add_vec_mat_outer_product	(	const Vector< T_, l_, slx_ > &	x,
		const Matrix< T_, m_, n_, sma_, sna_ > &	a,
		DataType	alpha = `DataType(1)`
	)

inline

Adds the result of a vector-matrix outer product onto this tensor.

Let K denote this tensor, x the input vector and A the input matrix, then this operation computes:

\[ \forall h\in\{0,...,l-1\}, i\in\{0,...,m-1\},j\in\{0,...,n-1\}:~ K_{hij} \leftarrow K_{hij} + \alpha x_h A_{ij}\]

Note: This function is used for the computation of vector-valued hessian tensors.

Parameters

[in]	x	The l-length vector that serves as the left multiplicand.
[in]	a	The m-by-n matrix that serves as the right multiplicand.
[in]	alpha	A scaling factor for the product.

Returns: *this

Definition at line 2941 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator()().

◆ convert()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<typename Tx_ , int sla_, int sma_, int sna_>

CUDA_HOST_DEVICE void FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::convert ( const Tensor3< Tx_, l_, m_, n_, sla_, sma_, sna_ > & a )

inline

conversion operator

Definition at line 2687 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::convert(), and FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v.

Referenced by FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::convert().

◆ copy()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<int sla_, int sma_, int sna_>

CUDA_HOST_DEVICE void FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::copy ( const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > & a )

inline

Copies a tensor3.

Parameters

[in] a The source tensor3 to copy

Definition at line 2774 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and FEAT::Tiny::Matrix< T_, m_, n_, sm_, sn_ >::v.

◆ copy_n()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<int ll_, int mm_, int nn_, int la_, int ma_, int na_, int sla_, int sma_, int sna_>

CUDA_HOST_DEVICE void FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::copy_n ( const Tensor3< T_, la_, ma_, na_, sla_, sma_, sna_ > & a )

inline

Copies the upper left mm_ x nn_ entries of a matrix.

Template Parameters

mm_	The number of matrix rows to copy; must be mm_ <= min(m_, ma_)
nn_	The number of matrix columns to copy; must be nn_ <= min(n_, na_)

Parameters

[in] x The source vector to copy the elements from

Definition at line 2795 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and FEAT::Tiny::Matrix< T_, m_, n_, sm_, sn_ >::v.

◆ format()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

CUDA_HOST_DEVICE void FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::format ( DataType alpha = DataType(0) )

inline

formats the tensor

Definition at line 2810 of file tiny_algebra.hpp.

◆ null()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

static CUDA_HOST_DEVICE Tensor3 FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::null ( )

inlinestatic

Returns a null-tensor.

Definition at line 2962 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::Tensor3().

◆ operator()() [1/2]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

CUDA_HOST_DEVICE T_ & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator()	(	int	h,
		int	i,
		int	j
	)

inline

Access operator.

Parameters

[in] h,i,j The indices of the tensor entry that is to be returned.

Returns: A (const) reference to the tensor entry at position (h,i,j).

Definition at line 2702 of file tiny_algebra.hpp.

References ASSERTM, and FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v.

Referenced by FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::add_double_mat_mult(), FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::add_mat_tensor_mult(), and FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::add_vec_mat_outer_product().

◆ operator()() [2/2]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

CUDA_HOST_DEVICE const T_ & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator()	(	int	h,
		int	i,
		int	j
	)		const

inline

Access operator.

Parameters

[in] h,i,j The indices of the tensor entry that is to be returned.

Returns: A (const) reference to the tensor entry at position (h,i,j).

Definition at line 2711 of file tiny_algebra.hpp.

References ASSERTM, and FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v.

◆ operator*=()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator*= ( DataType alpha )

inline

scalar right-multiply-by operator

Definition at line 2742 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v.

◆ operator+=()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<int sla_, int sma_, int sna_>

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator+= ( const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > & a )

inline

tensor component-wise addition operator

Definition at line 2751 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and FEAT::Tiny::Matrix< T_, m_, n_, sm_, sn_ >::v.

◆ operator-=()

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<int sla_, int sma_, int sna_>

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator-= ( const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > & a )

inline

tensor component-wise subtraction operator

Definition at line 2760 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and FEAT::Tiny::Matrix< T_, m_, n_, sm_, sn_ >::v.

◆ operator=() [1/4]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<typename Tx_ >

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator= ( const std::initializer_list< std::initializer_list< std::initializer_list< Tx_ > > > & x )

inline

Initializer list assignment operator.

Parameters

[in] x The initializer list whose elements are to be assigned.

Returns: *this

Definition at line 2676 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and XASSERTM.

◆ operator=() [2/4]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<typename Tx_ >

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator= ( const std::initializer_list< Tx_ > & x )

inline

Initializer list assignment operator.

Parameters

[in] x The initializer list whose elements are to be assigned.

Returns: *this

Definition at line 2658 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and XASSERTM.

◆ operator=() [3/4]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

template<int sla_, int sma_, int sna_>

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator= ( const Tensor3< T_, l_, m_, n_, sla_, sma_, sna_ > & a )

inline

copy-assignment operator

Definition at line 2642 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and FEAT::Tiny::Matrix< T_, m_, n_, sm_, sn_ >::v.

◆ operator=() [4/4]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

CUDA_HOST_DEVICE Tensor3 & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator= ( DataType value )

inline

value-assignment operator

Definition at line 2633 of file tiny_algebra.hpp.

References FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v, and FEAT::value.

◆ operator[]() [1/2]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

CUDA_HOST_DEVICE PlaneType & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator[] ( int h )

inline

Plane-Access operator.

Parameters

[in] h The index of the plane that is to be returned.

Returns: A (const) reference to the matrix representing the h-th plane of the tensor.

Definition at line 2728 of file tiny_algebra.hpp.

References ASSERTM, and FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v.

◆ operator[]() [2/2]

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

CUDA_HOST_DEVICE const PlaneType & FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::operator[] ( int h ) const

inline

Plane-Access operator.

Parameters

[in] h The index of the plane that is to be returned.

Returns: A (const) reference to the matrix representing the h-th plane of the tensor.

Definition at line 2735 of file tiny_algebra.hpp.

References ASSERTM, and FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v.

Member Data Documentation

◆ l

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

constexpr int FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::l = l_

staticconstexpr

the tube count of the tensor

Definition at line 2560 of file tiny_algebra.hpp.

◆ m

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

constexpr int FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::m = m_

staticconstexpr

the row count of the tensor

Definition at line 2562 of file tiny_algebra.hpp.

◆ n

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

constexpr int FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::n = n_

staticconstexpr

the column count of the tensor

Definition at line 2564 of file tiny_algebra.hpp.

◆ sl

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

constexpr int FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::sl = sl_

staticconstexpr

the tube stride of the tensor

Definition at line 2566 of file tiny_algebra.hpp.

◆ sm

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

constexpr int FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::sm = sm_

staticconstexpr

the row stride of the tensor

Definition at line 2568 of file tiny_algebra.hpp.

◆ sn

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

constexpr int FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::sn = sn_

staticconstexpr

the column stride of the tensor

Definition at line 2570 of file tiny_algebra.hpp.

◆ v

template<typename T_ , int l_, int m_, int n_, int sl_ = l_, int sm_ = m_, int sn_ = n_>

PlaneType FEAT::Tiny::Tensor3< T_, l_, m_, n_, sl_, sm_, sn_ >::v[sl_]

Actual tensor data.

Definition at line 2580 of file tiny_algebra.hpp.

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

kernel/util/tiny_algebra.hpp

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Static Public Attributes

Detailed Description

Member Typedef Documentation

◆ DataType

◆ PlaneType

◆ ValueType

Constructor & Destructor Documentation

◆ Tensor3() [1/5]

◆ Tensor3() [2/5]

◆ Tensor3() [3/5]

◆ Tensor3() [4/5]

◆ Tensor3() [5/5]

Member Function Documentation

◆ add_double_mat_mult()

◆ add_mat_tensor_mult()

◆ add_vec_mat_outer_product()

◆ convert()

◆ copy()

◆ copy_n()

◆ format()

◆ null()

◆ operator()() [1/2]

◆ operator()() [2/2]

◆ operator*=()

◆ operator+=()

◆ operator-=()

◆ operator=() [1/4]

◆ operator=() [2/4]

◆ operator=() [3/4]

◆ operator=() [4/4]

◆ operator[]() [1/2]

◆ operator[]() [2/2]

Member Data Documentation

◆ l

◆ m

◆ n

◆ sl

◆ sm

◆ sn

◆ v