Create a filled SR2 from the input file. More...

Detailed Description

Create a filled SR2 from the input file.

#include <FillSR2.h>

Inheritance diagram for FillSR2:

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Public Member Functions
	FillSR2 (const OptionSet &options)
	Construct a new FillSR2 object.

Public Member Functions inherited from SR2
	SR2 (const R2 &T)
	Symmetrize an R2 then fill.

SR2	rotate (const Rot &r) const
	Rotate.

SR2	rotate (const R2 &R) const

SFR3	drotate (const Rot &r) const
	Derivative of the rotated tensor w.r.t. the Rodrigues vector.

SFFR4	drotate (const R2 &R) const

Scalar	operator() (Size i, Size j) const
	Accessor.

Scalar	tr () const
	Trace.

SR2	vol () const
	Volumetric part of the tensor.

SR2	dev () const
	Deviatoric part of the tensor.

Scalar	det () const
	Determinant.

Scalar	inner (const SR2 &other) const
	Double contraction ij,ij.

Scalar	norm_sq () const
	Norm squared.

Scalar	norm (Real eps=0) const
	Norm.

SSR4	outer (const SR2 &other) const
	Outer product ij,kl -> ijkl.

SR2	inverse () const
	Inversion.

SR2	transpose () const
	Transpose, no-op.

Public Member Functions inherited from PrimitiveTensor< SR2, 6 >
	PrimitiveTensor ()=default
	Default constructor.

	PrimitiveTensor (const torch::Tensor &tensor, Size batch_dim)
	Construct from another torch::Tensor given batch dimension.

	PrimitiveTensor (const torch::Tensor &tensor)
	Construct from another torch::Tensor and infer batch dimension.

	operator Tensor () const
	Implicit conversion to a Tensor and loses information on the fixed base shape.

Public Member Functions inherited from TensorBase< Derived >
	TensorBase ()=default
	Default constructor.

	TensorBase (const torch::Tensor &tensor, Size batch_dim)
	Construct from another torch::Tensor.

	TensorBase (const Derived &tensor)
	Copy constructor.

	TensorBase (Real)=delete

Derived	clone (torch::MemoryFormat memory_format=torch::MemoryFormat::Contiguous) const

Derived	detach () const
	Discard function graph.

Derived	to (const torch::TensorOptions &options) const
	Change tensor options.

Derived	operator- () const
	Negation.

bool	batched () const
	Whether the tensor is batched.

Size	batch_dim () const
	Return the number of batch dimensions.

Size	base_dim () const
	Return the number of base dimensions.

TensorShapeRef	batch_sizes () const
	Return the batch size.

Size	batch_size (Size index) const
	Return the size of a batch axis.

TensorShapeRef	base_sizes () const
	Return the base size.

Size	base_size (Size index) const
	Return the size of a base axis.

Size	base_storage () const
	Return the flattened storage needed just for the base indices.

Derived	batch_index (indexing::TensorIndicesRef indices) const
	Get a tensor by slicing on the batch dimensions.

neml2::Tensor	base_index (indexing::TensorIndicesRef indices) const
	Get a tensor by slicing on the base dimensions.

void	batch_index_put_ (indexing::TensorIndicesRef indices, const torch::Tensor &other)
	Set values by slicing on the batch dimensions.

void	base_index_put_ (indexing::TensorIndicesRef indices, const torch::Tensor &other)
	Set values by slicing on the base dimensions.

Derived	batch_expand (TensorShapeRef batch_size) const

neml2::Tensor	base_expand (TensorShapeRef base_size) const
	Return a new view of the tensor with values broadcast along the base dimensions.

template<class Derived2 >
Derived	batch_expand_as (const Derived2 &other) const
	Expand the batch to have the same shape as another tensor.

template<class Derived2 >
Derived2	base_expand_as (const Derived2 &other) const
	Expand the base to have the same shape as another tensor.

Derived	batch_expand_copy (TensorShapeRef batch_size) const
	Return a new tensor with values broadcast along the batch dimensions.

neml2::Tensor	base_expand_copy (TensorShapeRef base_size) const
	Return a new tensor with values broadcast along the base dimensions.

Derived	batch_reshape (TensorShapeRef batch_shape) const
	Reshape batch dimensions.

neml2::Tensor	base_reshape (TensorShapeRef base_shape) const
	Reshape base dimensions.

Derived	batch_unsqueeze (Size d) const
	Unsqueeze a batch dimension.

neml2::Tensor	base_unsqueeze (Size d) const
	Unsqueeze a base dimension.

Derived	batch_transpose (Size d1, Size d2) const
	Transpose two batch dimensions.

neml2::Tensor	base_transpose (Size d1, Size d2) const
	Transpose two base dimensions.

Public Member Functions inherited from UserTensorBase
	UserTensorBase (const OptionSet &options)

Public Member Functions inherited from NEML2Object
	NEML2Object (const OptionSet &options)
	Construct a new NEML2Object object.

virtual	~NEML2Object ()=default

const OptionSet &	input_options () const

virtual void	setup ()
	Setup this object.

const std::string &	name () const
	A readonly reference to the object's name.

const std::string &	type () const
	A readonly reference to the object's type.

const std::string &	path () const
	A readonly reference to the object's path.

const std::string &	doc () const
	A readonly reference to the object's docstring.

template<typename T = NEML2Object>
const T *	host () const
	Get a readonly pointer to the host.

template<typename T = NEML2Object>
T *	host ()
	Get a writable pointer to the host.

Static Public Member Functions
static OptionSet	expected_options ()

Static Public Member Functions inherited from SR2
static SR2	fill (const Real &a, const torch::TensorOptions &options=default_tensor_options())
	Fill the diagonals with a11 = a22 = a33 = a.

static SR2	fill (const Scalar &a)

static SR2	fill (const Real &a11, const Real &a22, const Real &a33, const torch::TensorOptions &options=default_tensor_options())
	Fill the diagonals with a11, a22, a33.

static SR2	fill (const Scalar &a11, const Scalar &a22, const Scalar &a33)

static SR2	fill (const Real &a11, const Real &a22, const Real &a33, const Real &a23, const Real &a13, const Real &a12, const torch::TensorOptions &options=default_tensor_options())
	Fill all entries.

static SR2	fill (const Scalar &a11, const Scalar &a22, const Scalar &a33, const Scalar &a23, const Scalar &a13, const Scalar &a12)

static SR2	identity (const torch::TensorOptions &options=default_tensor_options())
	Identity.

static SSR4	identity_map (const torch::TensorOptions &options=default_tensor_options())
	The derivative of a SR2 with respect to itself.

Static Public Member Functions inherited from PrimitiveTensor< SR2, 6 >
static SR2	empty (const torch::TensorOptions &options=default_tensor_options())
	Unbatched empty tensor.

static SR2	empty (TensorShapeRef batch_shape, const torch::TensorOptions &options=default_tensor_options())
	Empty tensor given batch shape.

static SR2	zeros (const torch::TensorOptions &options=default_tensor_options())
	Unbatched zero tensor.

static SR2	zeros (TensorShapeRef batch_shape, const torch::TensorOptions &options=default_tensor_options())
	Zero tensor given batch shape.

static SR2	ones (const torch::TensorOptions &options=default_tensor_options())
	Unbatched unit tensor.

static SR2	ones (TensorShapeRef batch_shape, const torch::TensorOptions &options=default_tensor_options())
	Unit tensor given batch shape.

static SR2	full (Real init, const torch::TensorOptions &options=default_tensor_options())
	Unbatched tensor filled with a given value given base shape.

static SR2	full (TensorShapeRef batch_shape, Real init, const torch::TensorOptions &options=default_tensor_options())
	Full tensor given batch shape.

static Tensor	identity_map (const torch::TensorOptions &)
	Derived tensor classes should define identity_map where appropriate.

Static Public Member Functions inherited from TensorBase< Derived >
static Derived	empty_like (const Derived &other)
	Empty tensor like another, i.e. same batch and base shapes, same tensor options, etc.

static Derived	zeros_like (const Derived &other)
	Zero tensor like another, i.e. same batch and base shapes, same tensor options, etc.

static Derived	ones_like (const Derived &other)
	Unit tensor like another, i.e. same batch and base shapes, same tensor options, etc.

static Derived	full_like (const Derived &other, Real init)

static Derived	linspace (const Derived &start, const Derived &end, Size nstep, Size dim=0, Size batch_dim=-1)
	Create a new tensor by adding a new batch dimension with linear spacing between `start` and `end`.

static Derived	logspace (const Derived &start, const Derived &end, Size nstep, Size dim=0, Size batch_dim=-1, Real base=10)
	log-space equivalent of the linspace named constructor

Static Public Member Functions inherited from UserTensorBase
static OptionSet	expected_options ()

Static Public Member Functions inherited from NEML2Object
static OptionSet	expected_options ()

Additional Inherited Members
Static Public Attributes inherited from PrimitiveTensor< SR2, 6 >
static const TensorShape	const_base_sizes
	The base shape.

static constexpr Size	const_base_dim
	The base dim.

static const Size	const_base_storage
	The base storage.

Constructor & Destructor Documentation

◆ FillSR2()

FillSR2 ( const OptionSet & options )

Construct a new FillSR2 object.

Parameters

options The options extracted from the input file.

Member Function Documentation

◆ expected_options()

OptionSet expected_options ( )

static

Detailed Description

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Constructor & Destructor Documentation

◆ FillSR2()

Member Function Documentation

◆ expected_options()