Defines and implements most of Tensor. More...

#include <madness/madness_config.h>
#include <madness/misc/ran.h>
#include <madness/world/posixmem.h>
#include <memory>
#include <complex>
#include <vector>
#include <array>
#include <cmath>
#include <cstdlib>
#include <cstddef>
#include <madness/world/archive.h>
#include <madness/tensor/basetensor.h>
#include <madness/tensor/aligned.h>
#include <madness/tensor/mxm.h>
#include <madness/tensor/tensorexcept.h>
#include <madness/tensor/tensoriter.h>

Include dependency graph for tensor.h:

Go to the source code of this file.

Classes
struct	madness::archive::ArchiveLoadImpl< Archive, Tensor< T > >
	Deserialize a tensor ... existing tensor is replaced. More...

struct	madness::archive::ArchiveStoreImpl< Archive, Tensor< T > >
	Serialize a tensor. More...

struct	madness::conditional_conj_struct< Q, iscomplex >
	For real types return value, for complex return conjugate. More...

struct	madness::conditional_conj_struct< Q, true >
	For real types return value, for complex return conjugate. More...

class	madness::SliceTensor< T >
	Indexing a non-constant tensor with slices returns a SliceTensor. More...

class	madness::Tensor< T >
	A tensor is a multidimension array. More...

Namespaces
	madness
	File holds all helper structures necessary for the CC_Operator and CC2 class.

	madness::archive
	Namespace for I/O tools.

	madness::detail

	std

Macros
#define	HAVE_GENTENSOR 0

#define	IS_ODD(n) ((n)&0x1)

#define	IS_UNALIGNED(p) (((unsigned long)(p))&0x7)

#define	TENSOR_ALIGNMENT 64

#define	TENSOR_SHARED_PTR std::shared_ptr

Functions
template<class T >
Tensor< typename Tensor< T >::scalar_type >	madness::abs (const Tensor< T > &t)
	Return a new tensor holding the absolute value of each element of t. More...

static long	std::abs (long a)

template<class T >
Tensor< typename Tensor< T >::scalar_type >	madness::arg (const Tensor< T > &t)
	Return a new tensor holding the argument of each element of t (complex types only) More...

template<typename Q >
Q	madness::conditional_conj (const Q &coeff)
	For real types return value, for complex return conjugate. More...

template<class T >
Tensor< T >	madness::conj (const Tensor< T > &t)
	Returns a new deep copy of the complex conjugate of the input tensor (complex types only) More...

template<class T >
Tensor< T >	madness::conj_transpose (const Tensor< T > &t)
	Returns a new deep copy of the complex conjugate transpose of the input tensor. More...

template<class Q , class T >
Tensor< Q >	madness::convert (const Tensor< T > &t)
	Returns a new contiguous tensor of type Q that is a deep copy of the input. More...

template<class T >
Tensor< T >	madness::copy (const Tensor< T > &t)
	Returns a new contiguous tensor that is a deep copy of the input. More...

template<class T , class Q >
Tensor< TENSOR_RESULT_TYPE(T, Q) > &	madness::fast_transform (const Tensor< T > &t, const Tensor< Q > &c, Tensor< TENSOR_RESULT_TYPE(T, Q) > &result, Tensor< TENSOR_RESULT_TYPE(T, Q) > &workspace)
	Restricted but heavily optimized form of transform() More...

template<class T , class Q >
Tensor< TENSOR_RESULT_TYPE(T, Q)>	madness::general_transform (const Tensor< T > &t, const Tensor< Q > c[])
	Transform all dimensions of the tensor t by distinct matrices c. More...

template<class T >
Tensor< typename Tensor< T >::scalar_type >	madness::imag (const Tensor< T > &t)
	Return a new tensor holding the imaginary part of each element of t (complex types only) More...

template<class T , class Q >
Tensor< TENSOR_RESULT_TYPE(T, Q)>	madness::inner (const Tensor< T > &left, const Tensor< Q > &right, long k0=-1, long k1=0)
	Inner product ... result(i,j,...,p,q,...) = sum(z) left(i,j,...,z)*right(z,p,q,...) More...

template<class T , class Q >
void	madness::inner_result (const Tensor< T > &left, const Tensor< Q > &right, long k0, long k1, Tensor< TENSOR_RESULT_TYPE(T, Q) > &result)
	Accumulate inner product into user provided, contiguous, correctly sized result tensor. More...

template<typename T = int>
double	madness::detail::mynorm (int t)

template<typename T >
T	madness::detail::mynorm (std::complex< T > t)

template<typename T >
T	madness::detail::mynorm (T t)

template<typename T , typename Q >
IsSupported< TensorTypeData< Q >, Tensor< T > >::type	madness::operator* (const Q &x, const Tensor< T > &t)
	The class defines tensor op scalar ... here define scalar op tensor. More...

template<typename T , typename Q >
IsSupported< TensorTypeData< Q >, Tensor< T > >::type	madness::operator+ (Q x, const Tensor< T > &t)
	The class defines tensor op scalar ... here define scalar op tensor. More...

template<typename T , typename Q >
IsSupported< TensorTypeData< Q >, Tensor< T > >::type	madness::operator- (Q x, const Tensor< T > &t)
	The class defines tensor op scalar ... here define scalar op tensor. More...

template<class T >
std::ostream &	madness::operator<< (std::ostream &s, const Tensor< T > &t)
	Print (for human consumption) a tensor to the stream. More...

template<class T >
Tensor< T >	madness::outer (const Tensor< T > &left, const Tensor< T > &right)
	Outer product ... result(i,j,...,p,q,...) = left(i,k,...)*right(p,q,...) More...

template<class T >
void	madness::outer_result (const Tensor< T > &left, const Tensor< T > &right, Tensor< T > &result)
	Outer product ... result(i,j,...,p,q,...) = left(i,k,...)*right(p,q,...) More...

template<class T >
Tensor< typename Tensor< T >::scalar_type >	madness::real (const Tensor< T > &t)
	Return a new tensor holding the real part of each element of t (complex types only) More...

template<class T , class Q >
Tensor< TENSOR_RESULT_TYPE(T, Q)>	madness::transform (const Tensor< T > &t, const Tensor< Q > &c)
	Transform all dimensions of the tensor t by the matrix c. More...

template<class T , class Q >
Tensor< TENSOR_RESULT_TYPE(T, Q)>	madness::transform_dir (const Tensor< T > &t, const Tensor< Q > &c, int axis)
	Transforms one dimension of the tensor t by the matrix c, returns new contiguous tensor. More...

template<class T >
Tensor< T >	madness::transpose (const Tensor< T > &t)
	Returns a new deep copy of the transpose of the input tensor. More...

Detailed Description

Defines and implements most of Tensor.

Macro Definition Documentation

◆ HAVE_GENTENSOR

#define HAVE_GENTENSOR 0

◆ IS_ODD

#define IS_ODD ( n ) ((n)&0x1)

◆ IS_UNALIGNED

#define IS_UNALIGNED ( p ) (((unsigned long)(p))&0x7)

◆ TENSOR_ALIGNMENT

#define TENSOR_ALIGNMENT 64

◆ TENSOR_SHARED_PTR

#define TENSOR_SHARED_PTR std::shared_ptr

Classes

Namespaces

Macros