Indexing a non-constant tensor with slices returns a SliceTensor. More...

#include <tensor.h>

Inheritance diagram for madness::SliceTensor< T >:

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Collaboration diagram for madness::SliceTensor< T >:

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Public Member Functions
	SliceTensor (const Tensor< T > &t, const Slice s[])

	SliceTensor (const Tensor< T > &t, const std::array< Slice, TENSOR_MAXDIM > s)

virtual	~SliceTensor ()

template<class Q >
SliceTensor< T > &	operator= (const SliceTensor< Q > &t)

SliceTensor< T > &	operator= (const SliceTensor< T > &t)

SliceTensor< T > &	operator= (const T &t)

template<class Q >
SliceTensor< T > &	operator= (const Tensor< Q > &t)

SliceTensor< T > &	operator= (const Tensor< T > &t)

Public Member Functions inherited from madness::Tensor< T >
	Tensor ()
	Default constructor does not allocate any data and sets ndim=-1, size=0, _p=0, and id.

	Tensor (const std::vector< long > &d, bool dozero=true)
	Create and optionally zero new n-d tensor. This is the most general constructor.

	Tensor (const Tensor< T > &t)
	Copy constructor is shallow (same as assignment)

	Tensor (long d0)
	Create and zero new 1-d tensor.

	Tensor (long d0, long d1)
	Create and zero new 2-d tensor.

	Tensor (long d0, long d1, long d2)
	Create and zero new 3-d tensor.

	Tensor (long d0, long d1, long d2, long d3)
	Create and zero new 4-d tensor.

	Tensor (long d0, long d1, long d2, long d3, long d4)
	Create and zero new 5-d tensor.

	Tensor (long d0, long d1, long d2, long d3, long d4, long d5)
	Create and zero new 6-d tensor.

	Tensor (long nd, const long d[], bool dozero=true)
	Politically incorrect general constructor.

virtual	~Tensor ()

scalar_type	absmax (long *ind=0) const
	Return the absolute maximum value (and if ind is non-null, its index) in the Tensor.

scalar_type	absmin (long *ind=0) const
	Return the absolute minimum value (and if ind is non-null, its index) in the Tensor.

BaseTensor *	base ()
	Returns a pointer to the base class.

const BaseTensor *	base () const
	Returns a pointer to the base class.

template<class Q >
TensorIterator< T, Q >	binary_iterator (const Tensor< Q > &q, long iterlevel=0, bool optimize=true, bool fusedim=true, long jdim=default_jdim) const
	Return iterator over two tensors.

void	clear ()
	Frees all memory and resests to state of default constructor.

template<class Q >
bool	conforms (const Tensor< Q > &t) const
	Test if `*this` and `t` conform.

Tensor< T > &	conj ()
	Inplace complex conjugate.

Tensor< T >	cycledim (long nshift, long start, long end)
	Returns new view/tensor cycling the sub-dimensions `(start,...,end)` with `shift` steps.

const Tensor< T >	cycledim (long nshift, long start, long end) const
	Returns new view/tensor cycling the sub-dimensions `(start,...,end)` with `shift` steps.

Tensor< T > &	emul (const Tensor< T > &t)
	Inplace multiply by corresponding elements of argument Tensor.

const TensorIterator< T > &	end () const
	End point for forward iteration.

Tensor< T > &	fill (T x)
	Inplace fill with a scalar (legacy name)

Tensor< T > &	fillindex ()
	Inplace fill with the index of each element.

Tensor< T > &	fillrandom ()
	Inplace fill with random values ( [0,1] for floats, [0,MAXSIZE] for integers)

Tensor< T >	flat ()
	Returns new view/tensor rehshaping to flat (1-d) tensor.

const Tensor< T >	flat () const
	Returns new view/tensor rehshaping to flat (1-d) tensor.

Tensor< T >	fusedim (long i)
	Returns new view/tensor fusing contiguous dimensions `i` and `i+1`.

const Tensor< T >	fusedim (long i) const
	Returns new view/tensor fusing contiguous dimensions `i` and `i+1`.

Tensor< T > &	gaxpy (T alpha, const Tensor< T > &t, T beta)
	Inplace generalized saxpy ... this = thisalpha + otherbeta.

bool	has_data () const

Tensor< T >	mapdim (const std::vector< long > &map)
	Returns new view/tensor permuting the dimensions.

const Tensor< T >	mapdim (const std::vector< long > &map) const
	Returns new view/tensor permuting the dimensions.

float_complex	max (long *ind) const

double_complex	max (long *ind) const

float_complex	max (long *ind) const

double_complex	max (long *ind) const

T	max (long *ind=0) const
	Return the maximum value (and if ind is non-null, its index) in the Tensor.

float_complex	min (long *ind) const

double_complex	min (long *ind) const

float_complex	min (long *ind) const

double_complex	min (long *ind) const

T	min (long *ind=0) const
	Return the minimum value (and if ind is non-null, its index) in the Tensor.

float_scalar_type	normf () const
	Returns the Frobenius norm of the tensor.

template<class Q >
	operator Tensor< Q > () const
	Type conversion makes a deep copy.

T &	operator() (const long ind[])
	Politically incorrect general indexing operation without bounds checking.

const T &	operator() (const long ind[]) const
	Politically incorrect general indexing operation without bounds checking.

SliceTensor< T >	operator() (const Slice &s0)
	Return a 1d SliceTensor that views the specified range of the 1d Tensor.

const Tensor< T >	operator() (const Slice &s0) const
	Return a 1d SliceTensor that views the specified range of the 1d Tensor.

SliceTensor< T >	operator() (const Slice &s0, const Slice &s1)
	Return a 2d SliceTensor that views the specified range of the 2d Tensor.

const Tensor< T >	operator() (const Slice &s0, const Slice &s1) const
	Return a 2d constant Tensor that views the specified range of the 2d Tensor.

SliceTensor< T >	operator() (const Slice &s0, const Slice &s1, const Slice &s2)
	Return a 3d SliceTensor that views the specified range of the 3d Tensor.

const Tensor< T >	operator() (const Slice &s0, const Slice &s1, const Slice &s2) const
	Return a 3d constant Tensor that views the specified range of the 3d Tensor.

SliceTensor< T >	operator() (const Slice &s0, const Slice &s1, const Slice &s2, const Slice &s3)
	Return a 1-4d SliceTensor that views the specified range of the 4d Tensor.

const Tensor< T >	operator() (const Slice &s0, const Slice &s1, const Slice &s2, const Slice &s3) const
	Return a 1-4d constant Tensor that views the specified range of the 4d Tensor.

SliceTensor< T >	operator() (const Slice &s0, const Slice &s1, const Slice &s2, const Slice &s3, const Slice &s4)
	Return a 1-5d SliceTensor that views the specified range of the 5d Tensor.

const Tensor< T >	operator() (const Slice &s0, const Slice &s1, const Slice &s2, const Slice &s3, const Slice &s4) const
	Return a 1-5d constant Tensor that views the specified range of the 5d Tensor.

SliceTensor< T >	operator() (const Slice &s0, const Slice &s1, const Slice &s2, const Slice &s3, const Slice &s4, const Slice &s5)
	Return a 1-6d SliceTensor that views the specified range of the 6d Tensor.

const Tensor< T >	operator() (const Slice &s0, const Slice &s1, const Slice &s2, const Slice &s3, const Slice &s4, const Slice &s5) const
	Return a 1-6d constant Tensor that views the specified range of the 6d Tensor.

SliceTensor< T >	operator() (const Slice &s0, const Slice &s1, long k)
	Return a 2d SliceTensor that views the specified range of the 3d Tensor.

const Tensor< T >	operator() (const Slice &s0, const Slice &s1, long k) const
	Return a 2d constant Tensor that views the specified range of the 3d Tensor.

SliceTensor< T >	operator() (const Slice &s0, long j)
	Return a 1d SliceTensor that views the specified range of the 2d Tensor.

const Tensor< T >	operator() (const Slice &s0, long j) const
	Return a 1d constant Tensor that views the specified range of the 2d Tensor.

SliceTensor< T >	operator() (const Slice &s0, long j, const Slice &s2)
	Return a 2d SliceTensor that views the specified range of the 3d Tensor.

const Tensor< T >	operator() (const Slice &s0, long j, const Slice &s2) const
	Return a 2d constant Tensor that views the specified range of the 3d Tensor.

SliceTensor< T >	operator() (const Slice &s0, long j, long k)
	Return a 1d SliceTensor that views the specified range of the 3d Tensor.

const Tensor< T >	operator() (const Slice &s0, long j, long k) const
	Return a 1d constant Tensor that views the specified range of the 3d Tensor.

SliceTensor< T >	operator() (const std::array< Slice, TENSOR_MAXDIM > &s)
	General slicing operation.

const Tensor< T >	operator() (const std::array< Slice, TENSOR_MAXDIM > &s) const
	General slicing operation (const)

T &	operator() (const std::vector< long > ind)
	General indexing operation with bounds checking.

const T &	operator() (const std::vector< long > ind) const
	General indexing operation with bounds checking.

SliceTensor< T >	operator() (const std::vector< Slice > &s)
	General slicing operation.

const Tensor< T >	operator() (const std::vector< Slice > &s) const
	General slicing operation (const)

T &	operator() (long i)
	1-d indexing operation without bounds checking.

const T &	operator() (long i) const
	1-d indexing operation without bounds checking.

SliceTensor< T >	operator() (long i, const Slice &s1)
	Return a 1d SliceTensor that views the specified range of the 2d Tensor.

const Tensor< T >	operator() (long i, const Slice &s1) const
	Return a 1d SliceTensor that views the specified range of the 2d Tensor.

SliceTensor< T >	operator() (long i, const Slice &s1, const Slice &s2)
	Return a 2d SliceTensor that views the specified range of the 3d Tensor.

const Tensor< T >	operator() (long i, const Slice &s1, const Slice &s2) const
	Return a 2d constant Tensor that views the specified range of the 3d Tensor.

SliceTensor< T >	operator() (long i, const Slice &s1, long k)
	Return a 1d SliceTensor that views the specified range of the 3d Tensor.

const Tensor< T >	operator() (long i, const Slice &s1, long k) const
	Return a 1d constant Tensor that views the specified range of the 3d Tensor.

T &	operator() (long i, long j)
	2-d indexing operation without bounds checking.

const T &	operator() (long i, long j) const
	2-d indexing operation without bounds checking.

SliceTensor< T >	operator() (long i, long j, const Slice &s2)
	Return a 1d SliceTensor that views the specified range of the 3d Tensor.

const Tensor< T >	operator() (long i, long j, const Slice &s2) const
	Return a 1d constant Tensor that views the specified range of the 3d Tensor.

T &	operator() (long i, long j, long k)
	3-d indexing operation without bounds checking.

const T &	operator() (long i, long j, long k) const
	3-d indexing operation without bounds checking.

T &	operator() (long i, long j, long k, long l)
	4-d indexing operation without bounds checking.

const T &	operator() (long i, long j, long k, long l) const
	4-d indexing operation without bounds checking.

T &	operator() (long i, long j, long k, long l, long m)
	5-d indexing operation without bounds checking.

const T &	operator() (long i, long j, long k, long l, long m) const
	5-d indexing operation without bounds checking.

T &	operator() (long i, long j, long k, long l, long m, long n)
	6-d indexing operation without bounds checking.

const T &	operator() (long i, long j, long k, long l, long m, long n) const
	6-d indexing operation without bounds checking.

template<typename Q >
IsSupported< TensorTypeData< Q >, Tensor< TENSOR_RESULT_TYPE(T, Q)> >::type	operator* (const Q &x) const
	Multiplication of tensor by a scalar of a supported type to produce a new tensor.

template<typename Q >
IsSupported< TensorTypeData< Q >, Tensor< T > & >::type	operator*= (const Q &x)
	Inplace multiplication by scalar of supported type.

template<typename Q >
IsSupported< TensorTypeData< Q >, Tensor< TENSOR_RESULT_TYPE(T, Q)> >::type	operator+ (const Q &x) const
	Add a scalar of the same type to all elements of a tensor producing a new tensor.

template<typename Q >
Tensor< TENSOR_RESULT_TYPE(T, Q) >	operator+ (const Tensor< Q > &t) const
	Addition of two tensors to produce a new tensor.

template<typename Q >
IsSupported< TensorTypeData< Q >, Tensor< T > & >::type	operator+= (const Q &x)
	Inplace increment by scalar of supported type.

template<typename Q >
Tensor< T > &	operator+= (const Tensor< Q > &t)
	Inplace addition of two tensors.

Tensor< T >	operator- () const
	Unary negation producing a new tensor.

template<typename Q >
IsSupported< TensorTypeData< Q >, Tensor< TENSOR_RESULT_TYPE(T, Q)> >::type	operator- (const Q &x) const
	Subtract a scalar of the same type from all elements producing a new tensor.

template<typename Q >
Tensor< TENSOR_RESULT_TYPE(T, Q) >	operator- (const Tensor< Q > &t) const
	Subtraction of two tensors to produce a new tensor.

template<typename Q >
IsSupported< TensorTypeData< Q >, Tensor< T > & >::type	operator-= (const Q &x)
	Inplace decrement by scalar of supported type.

template<typename Q >
Tensor< T > &	operator-= (const Tensor< Q > &t)
	Inplace subtraction of two tensors.

template<typename Q >
IsSupported< TensorTypeData< Q >, Tensor< TENSOR_RESULT_TYPE(T, Q)> >::type	operator/ (const Q &x) const
	Divide tensor by a scalar of a supported type to produce a new tensor.

Tensor< T > &	operator= (const Tensor< T > &t)
	Assignment is shallow (same as copy constructor)

Tensor< T > &	operator= (T x)
	Inplace fill tensor with scalar.

T &	operator[] (long i)
	1-d indexing operation using [] without bounds checking.

const T &	operator[] (long i) const
	1-d indexing operation using [] without bounds checking.

T	product () const
	Return the product of all elements of the tensor.

T *	ptr ()
	Returns a pointer to the internal data.

const T *	ptr () const
	Returns a pointer to the internal data.

Tensor< T >	reshape (const std::vector< long > &d)
	Returns new view/tensor reshaping size/number of dimensions to conforming tensor.

const Tensor< T >	reshape (const std::vector< long > &d) const
	Returns new view/tensor reshaping size/number of dimensions to conforming tensor.

Tensor< T >	reshape (int ndimnew, const long *d)
	Returns new view/tensor reshaping size/number of dimensions to conforming tensor.

const Tensor< T >	reshape (int ndimnew, const long *d) const
	Returns new view/tensor reshaping size/number of dimensions to conforming tensor.

Tensor< T >	reshape (long dim0)
	Returns new view/tensor rehapings to conforming 1-d tensor with given dimension.

const Tensor< T >	reshape (long dim0) const
	Returns new view/tensor rehapings to conforming 1-d tensor with given dimension.

Tensor< T >	reshape (long dim0, long dim1)
	Returns new view/tensor rehaping to conforming 2-d tensor with given dimensions.

const Tensor< T >	reshape (long dim0, long dim1) const
	Returns new view/tensor rehaping to conforming 2-d tensor with given dimensions.

Tensor< T >	reshape (long dim0, long dim1, long dim2)
	Returns new view/tensor rehaping to conforming 3-d tensor with given dimensions.

const Tensor< T >	reshape (long dim0, long dim1, long dim2) const
	Returns new view/tensor rehaping to conforming 3-d tensor with given dimensions.

Tensor< T >	reshape (long dim0, long dim1, long dim2, long dim3)
	Returns new view/tensor rehaping to conforming 4-d tensor with given dimensions.

const Tensor< T >	reshape (long dim0, long dim1, long dim2, long dim3) const
	Returns new view/tensor rehaping to conforming 4-d tensor with given dimensions.

Tensor< T >	reshape (long dim0, long dim1, long dim2, long dim3, long dim4)
	Returns new view/tensor rehaping to conforming 5-d tensor with given dimensions.

const Tensor< T >	reshape (long dim0, long dim1, long dim2, long dim3, long dim4) const
	Returns new view/tensor rehaping to conforming 5-d tensor with given dimensions.

Tensor< T >	reshape (long dim0, long dim1, long dim2, long dim3, long dim4, long dim5)
	Returns new view/tensor rehaping to conforming 6-d tensor with given dimensions.

const Tensor< T >	reshape (long dim0, long dim1, long dim2, long dim3, long dim4, long dim5) const
	Returns new view/tensor rehaping to conforming 6-d tensor with given dimensions.

template<typename Q >
IsSupported< TensorTypeData< Q >, Tensor< T > & >::type	scale (Q x)
	Inplace multiplication by scalar of supported type (legacy name)

Tensor< T > &	screen (double x)
	Inplace set elements of `*this` less than `x` in absolute magnitude to zero.

Tensor< T >	splitdim (long i, long dimi0, long dimi1)
	Returns new view/tensor splitting dimension `i` as `dimi0*dimi1` to produce conforming d+1 dimension tensor.

const Tensor< T >	splitdim (long i, long dimi0, long dimi1) const
	Returns new view/tensor splitting dimension `i` as `dimi0*dimi1` to produce conforming d+1 dimension tensor.

T	sum () const
	Returns the sum of all elements of the tensor.

T	sumsq () const
	Returns the sum of the squares of the elements.

Tensor< T >	swapdim (long idim, long jdim)
	Returns new view/tensor swaping dimensions `i` and `j`.

const Tensor< T >	swapdim (long idim, long jdim) const
	Returns new view/tensor swaping dimensions `i` and `j`.

template<class Q >
	TENSOR_RESULT_TYPE (T, Q) trace_conj(const Tensor< Q > &t) const
	Return the trace of two tensors with complex conjugate of the leftmost (i.e., this)

template<class Q , class R >
TensorIterator< T, Q, R >	ternary_iterator (const Tensor< Q > &q, const Tensor< R > &r, long iterlevel=0, bool optimize=true, bool fusedim=true, long jdim=default_jdim) const
	Return iterator over three tensors.

T	trace (const Tensor< T > &t) const
	Return the trace of two tensors (no complex conjugate invoked)

TensorIterator< T >	unary_iterator (long iterlevel=0, bool optimize=true, bool fusedim=true, long jdim=default_jdim) const
	Return iterator over single tensor.

template<typename opT >
Tensor< T > &	unaryop (opT &op)
	Inplace apply a unary function to each element of the tensor.

Public Member Functions inherited from madness::BaseTensor
	BaseTensor ()

virtual	~BaseTensor ()

bool	conforms (const BaseTensor *t) const
	Returns true if this and *t are the same shape and size.

long	dim (int i) const
	Returns the size of dimension `i`.

const long *	dims () const
	Returns the array of tensor dimensions.

long	id () const
	Returns the typeid of the tensor (c.f., `TensorTypeData<T>` )

bool	iscontiguous () const
	Returns true if the tensor refers to contiguous memory locations.

long	ndim () const
	Returns the number of dimensions in the tensor.

long	size () const
	Returns the number of elements in the tensor.

long	stride (int i) const
	Returns the stride associated with dimension `i`.

const long *	strides () const
	Returns the array of tensor strides.

Private Member Functions
	SliceTensor ()

Additional Inherited Members
Public Types inherited from madness::Tensor< T >
typedef TensorTypeData< T >::float_scalar_type	float_scalar_type
	C++ typename of the floating point type associated with scalar real type.

typedef TensorTypeData< T >::scalar_type	scalar_type
	C++ typename of the real type associated with a complex type.

typedef T	type
	C++ typename of this tensor.

Static Public Member Functions inherited from madness::Tensor< T >
static bool	bounds_checking ()
	Return true if bounds checking was enabled at compile time.

Static Public Member Functions inherited from madness::BaseTensor
static int	get_instance_count ()
	Returns the count of all current instances of tensors & slice tensors of all types.

Protected Member Functions inherited from madness::Tensor< T >
void	allocate (long nd, const long d[], bool dozero)

void	deallocate ()

Protected Member Functions inherited from madness::BaseTensor
void	cycledim_inplace (long shift, long start, long end)
	Cyclic shift of dimensions.

void	flat_inplace ()
	Reshapes the tensor inplace into 1D.

void	fusedim_inplace (long i)
	Fuses dimensions `i` and `i+1`.

void	mapdim_inplace (const std::vector< long > &map)
	General permutation of dimensions.

void	reshape_inplace (const std::vector< long > &d)
	Reshapes the tensor inplace.

void	reshape_inplace (int ndimnew, const long *d)
	Reshapes the tensor inplace.

void	set_dims_and_size (long nd, const long d[])

void	splitdim_inplace (long i, long dimi0, long dimi1)
	Splits dimension `i`.

void	swapdim_inplace (long i, long j)
	Swaps the dimensions.

Protected Attributes inherited from madness::Tensor< T >
T *MADNESS_RESTRICT	_p

TENSOR_SHARED_PTR< T >	_shptr

Protected Attributes inherited from madness::BaseTensor
long	_dim [TENSOR_MAXDIM]
	Size of each dimension.

long	_id
	Id from TensorTypeData<T> in type_data.h.

long	_ndim
	Number of dimensions (-1=invalid; 0=no supported; >0=tensor)

long	_size
	Number of elements in the tensor.

long	_stride [TENSOR_MAXDIM]
	Increment between elements in each dimension.

Detailed Description

template<class T>
class madness::SliceTensor< T >

Indexing a non-constant tensor with slices returns a SliceTensor.

A slice tensor differs from a tensor only in that assignment causes the data to be copied rather than entire new copy generated. You will usually not instantiate one except as a temporary produced by indexing a tensor with slice and then assigning it back to a tensor, or performing some other operation and discarding.

Constructor & Destructor Documentation

◆ SliceTensor() [1/3]

template<class T >

madness::SliceTensor< T >::SliceTensor ( )

private

◆ SliceTensor() [2/3]

template<class T >

madness::SliceTensor< T >::SliceTensor	(	const Tensor< T > &	t,
		const std::array< Slice, TENSOR_MAXDIM >	s
	)

inline

◆ SliceTensor() [3/3]

template<class T >

madness::SliceTensor< T >::SliceTensor	(	const Tensor< T > &	t,
		const Slice	s[]
	)

inline

References madness::BaseTensor::_dim, madness::BaseTensor::_ndim, madness::Tensor< T >::_p, madness::BaseTensor::_size, madness::BaseTensor::_stride, madness::Tensor< T >::end(), madness::BaseTensor::size(), TENSOR_ASSERT, and TENSOR_MAXDIM.

◆ ~SliceTensor()

template<class T >

virtual madness::SliceTensor< T >::~SliceTensor ( )

inlinevirtual

Member Function Documentation

◆ operator=() [1/5]

template<class T >

template<class Q >

SliceTensor< T > & madness::SliceTensor< T >::operator= ( const SliceTensor< Q > & t )

inline

References BINARY_OPTIMIZED_ITERATOR, Q(), and T().

◆ operator=() [2/5]

template<class T >

SliceTensor< T > & madness::SliceTensor< T >::operator= ( const SliceTensor< T > & t )

inline

References BINARY_OPTIMIZED_ITERATOR, and T().

◆ operator=() [3/5]

template<class T >

SliceTensor< T > & madness::SliceTensor< T >::operator= ( const T & t )

inline

References T(), and UNARY_OPTIMIZED_ITERATOR.

◆ operator=() [4/5]

template<class T >

template<class Q >

SliceTensor< T > & madness::SliceTensor< T >::operator= ( const Tensor< Q > & t )

inline

References BINARY_OPTIMIZED_ITERATOR, Q(), and T().

◆ operator=() [5/5]

template<class T >

SliceTensor< T > & madness::SliceTensor< T >::operator= ( const Tensor< T > & t )

inline

References BINARY_OPTIMIZED_ITERATOR, and T().

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

Public Member Functions

Private Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ SliceTensor() [1/3]

◆ SliceTensor() [2/3]

◆ SliceTensor() [3/3]

◆ ~SliceTensor()

Member Function Documentation

◆ operator=() [1/5]

◆ operator=() [2/5]

◆ operator=() [3/5]

◆ operator=() [4/5]

◆ operator=() [5/5]