UserTensor Class Reference

Create raw Tensor from the input file. More...

Detailed Description

Create raw Tensor from the input file.

#include <UserTensor.h>

Inheritance diagram for UserTensor:

Public Member Functions
	UserTensor (const OptionSet &options)
	Construct a new UserTensor object.
Public Member Functions inherited from Tensor
	Tensor ()=default
	Default constructor.
	Tensor (const torch::Tensor &tensor, Size batch_dim)
	Construct from another torch::Tensor.
	Tensor (const torch::Tensor &tensor, const TraceableTensorShape &batch_shape)
	Construct from another torch::Tensor with given batch shape.
template<class Derived2 >
	Tensor (const TensorBase< Derived2 > &tensor)
	Copy constructor.
Public Member Functions inherited from TensorBase< Tensor >
	TensorBase ()=default
	Default constructor.
	TensorBase (const torch::Tensor &tensor, Size batch_dim)
	Construct from another torch::Tensor with given batch dimension.
	TensorBase (const torch::Tensor &tensor, const TraceableTensorShape &batch_shape)
	Construct from another torch::Tensor with given batch shape.
	TensorBase (const TensorBase< Derived2 > &tensor)
	Copy constructor.
	TensorBase (Real)=delete
Tensor	variable_data () const
Tensor	clone (torch::MemoryFormat memory_format=torch::MemoryFormat::Contiguous) const
Tensor	detach () const
	Discard function graph.
Tensor	to (const torch::TensorOptions &options) const
	Change tensor options.
Tensor	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.
const TraceableTensorShape &	batch_sizes () const
	Return the batch size.
TraceableSize	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.
Tensor	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)
void	batch_index_put_ (indexing::TensorIndicesRef indices, Real v)
void	base_index_put_ (indexing::TensorIndicesRef indices, const torch::Tensor &other)
void	base_index_put_ (indexing::TensorIndicesRef indices, Real v)
Tensor	batch_expand (const TraceableTensorShape &batch_shape) const
Tensor	batch_expand (const TraceableSize &batch_size, Size dim) const
	Return a new view of the tensor with values broadcast along a given batch dimension.
neml2::Tensor	base_expand (TensorShapeRef base_shape) const
	Return a new view of the tensor with values broadcast along the base dimensions.
neml2::Tensor	base_expand (Size base_size, Size dim) const
	Return a new view of the tensor with values broadcast along a given base dimension.
Tensor	batch_expand_as (const Derived2 &other) const
	Expand the batch to have the same shape as another tensor.
Derived2	base_expand_as (const Derived2 &other) const
	Expand the base to have the same shape as another tensor.
Tensor	batch_expand_copy (const TraceableTensorShape &batch_shape) const
	Return a new tensor with values broadcast along the batch dimensions.
neml2::Tensor	base_expand_copy (TensorShapeRef base_shape) const
	Return a new tensor with values broadcast along the base dimensions.
Tensor	batch_reshape (const TraceableTensorShape &batch_shape) const
	Reshape batch dimensions.
neml2::Tensor	base_reshape (TensorShapeRef base_shape) const
	Reshape base dimensions.
Tensor	batch_unsqueeze (Size d) const
	Unsqueeze a batch dimension.
neml2::Tensor	base_unsqueeze (Size d) const
	Unsqueeze a base dimension.
Tensor	batch_transpose (Size d1, Size d2) const
	Transpose two batch dimensions.
neml2::Tensor	base_transpose (Size d1, Size d2) const
	Transpose two base dimensions.
neml2::Tensor	base_flatten () const
	Flatten base dimensions.
Public Member Functions inherited from UserTensorBase
	UserTensorBase (const OptionSet &options)
Public Member Functions inherited from NEML2Object
	NEML2Object ()=delete
	NEML2Object (NEML2Object &&)=delete
	NEML2Object (const NEML2Object &)=delete
NEML2Object &	operator= (const NEML2Object &)=delete
NEML2Object &	operator= (NEML2Object &&)=delete
virtual	~NEML2Object ()=default
	NEML2Object (const OptionSet &options)
	Construct a new NEML2Object object.
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 Tensor
static Tensor	empty (TensorShapeRef base_shape, const torch::TensorOptions &options=default_tensor_options())
	Unbatched empty tensor given base shape.
static Tensor	empty (const TraceableTensorShape &batch_shape, TensorShapeRef base_shape, const torch::TensorOptions &options=default_tensor_options())
	Empty tensor given batch and base shapes.
static Tensor	zeros (TensorShapeRef base_shape, const torch::TensorOptions &options=default_tensor_options())
	Unbatched tensor filled with zeros given base shape.
static Tensor	zeros (const TraceableTensorShape &batch_shape, TensorShapeRef base_shape, const torch::TensorOptions &options=default_tensor_options())
	Zero tensor given batch and base shapes.
static Tensor	ones (TensorShapeRef base_shape, const torch::TensorOptions &options=default_tensor_options())
	Unbatched tensor filled with ones given base shape.
static Tensor	ones (const TraceableTensorShape &batch_shape, TensorShapeRef base_shape, const torch::TensorOptions &options=default_tensor_options())
	Unit tensor given batch and base shapes.
static Tensor	full (TensorShapeRef base_shape, Real init, const torch::TensorOptions &options=default_tensor_options())
	Unbatched tensor filled with a given value given base shape.
static Tensor	full (const TraceableTensorShape &batch_shape, TensorShapeRef base_shape, Real init, const torch::TensorOptions &options=default_tensor_options())
	Full tensor given batch and base shapes.
static Tensor	identity (Size n, const torch::TensorOptions &options=default_tensor_options())
	Unbatched identity tensor.
static Tensor	identity (const TraceableTensorShape &batch_shape, Size n, const torch::TensorOptions &options=default_tensor_options())
	Identity tensor given batch shape and base length.
Static Public Member Functions inherited from TensorBase< Tensor >
static Tensor	empty_like (const Tensor &other)
	Empty tensor like another, i.e. same batch and base shapes, same tensor options, etc.
static Tensor	zeros_like (const Tensor &other)
	Zero tensor like another, i.e. same batch and base shapes, same tensor options, etc.
static Tensor	ones_like (const Tensor &other)
	Unit tensor like another, i.e. same batch and base shapes, same tensor options, etc.
static Tensor	full_like (const Tensor &other, Real init)
static Tensor	linspace (const Tensor &start, const Tensor &end, Size nstep, Size dim=0)
	Create a new tensor by adding a new batch dimension with linear spacing between start and end.
static Tensor	logspace (const Tensor &start, const Tensor &end, Size nstep, Size dim=0, 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 ()

Constructor & Destructor Documentation

UserTensor()

UserTensor

(

const OptionSet &

options

)

Construct a new UserTensor object.

Parameters

options

The options extracted from the input file.

Member Function Documentation

expected_options()

OptionSet expected_options ( )

static