FillMillerIndex Class Reference

Create a single-batched "list" of Miller indices. More...

Detailed Description

Create a single-batched "list" of Miller indices.

#include <FillMillerIndex.h>

Inheritance diagram for FillMillerIndex:

Public Member Functions
	FillMillerIndex (const OptionSet &options)
	Construct a new FillMillerIndex object.
Public Member Functions inherited from MillerIndex
MillerIndex	reduce () const
	Reduce to the greatest common demoninator.
Vec	to_vec (const torch::TensorOptions &options=default_tensor_options()) const
	Convert back to a (real) Vec.
Vec	to_normalized_vec (const torch::TensorOptions &options=default_tensor_options()) const
	Convert back to a normalized real Vec.
Public Member Functions inherited from PrimitiveTensor< MillerIndex, 3 >
	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 MillerIndex
static MillerIndex	fill (Integer a, Integer b, Integer c, const torch::TensorOptions &options=default_integer_tensor_options())
	Most likely construction method – make from three ints.
Static Public Member Functions inherited from PrimitiveTensor< MillerIndex, 3 >
static MillerIndex	empty (const torch::TensorOptions &options=default_tensor_options())
	Unbatched empty tensor.
static MillerIndex	empty (TensorShapeRef batch_shape, const torch::TensorOptions &options=default_tensor_options())
	Empty tensor given batch shape.
static MillerIndex	zeros (const torch::TensorOptions &options=default_tensor_options())
	Unbatched zero tensor.
static MillerIndex	zeros (TensorShapeRef batch_shape, const torch::TensorOptions &options=default_tensor_options())
	Zero tensor given batch shape.
static MillerIndex	ones (const torch::TensorOptions &options=default_tensor_options())
	Unbatched unit tensor.
static MillerIndex	ones (TensorShapeRef batch_shape, const torch::TensorOptions &options=default_tensor_options())
	Unit tensor given batch shape.
static MillerIndex	full (Real init, const torch::TensorOptions &options=default_tensor_options())
	Unbatched tensor filled with a given value given base shape.
static MillerIndex	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< MillerIndex, 3 >
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

FillMillerIndex()

FillMillerIndex

(

const OptionSet &

options

)

Construct a new FillMillerIndex object.

Parameters

options

The options extracted from the input file.

Member Function Documentation

expected_options()

OptionSet expected_options ( )

static