FillWR2 Class Reference

Create a filled WR2 from the input file. More...

Detailed Description

Create a filled WR2 from the input file.

#include <FillWR2.h>

Inheritance diagram for FillWR2:

Public Member Functions
	FillWR2 (const OptionSet &options)
	Construct a new FillWR2 object.
Public Member Functions inherited from WR2
	WR2 (const R2 &T)
	Skew-symmetrize a R2 then fill.
Scalar	operator() (TorchSize i, TorchSize j) const
	Accessor.
Rot	exp () const
	Exponential map to make this into a rotation (Rot)
R2	dexp () const
	Derivative of the exponential map.
Public Member Functions inherited from VecBase< WR2 >
Scalar	operator() (TorchSize i) const
	Accessor.
Scalar	dot (const VecBase< Derived2 > &v) const
	dot product
WR2	cross (const VecBase< Derived2 > &v) const
	cross product
R2	outer (const VecBase< Derived2 > &v) const
	outer product
Scalar	norm_sq () const
	Norm squared.
Scalar	norm () const
	Norm.
WR2	rotate (const Rot &r) const
	Rotate using a Rodrigues vector.
WR2	rotate (const R2 &R) const
	Rotate using a rotation matrix.
R2	drotate (const Rot &r) const
	Derivative of the rotated vector w.r.t. the Rodrigues vector.
R3	drotate (const R2 &R) const
	Derivative of the rotated vector w.r.t. the rotation matrix.
Public Member Functions inherited from FixedDimTensor< Derived, S >
	FixedDimTensor ()=default
	Default constructor.
	FixedDimTensor (const torch::Tensor &tensor, TorchSize batch_dim)
	Construct from another torch::Tensor given batch dimension.
	FixedDimTensor (const torch::Tensor &tensor)
	Construct from another torch::Tensor and infer batch dimension.
	operator BatchTensor () const
	Implicit conversion to a BatchTensor and loses information on the fixed base shape.
Public Member Functions inherited from BatchTensorBase< Derived >
	BatchTensorBase ()=default
	Default constructor.
	BatchTensorBase (const torch::Tensor &tensor, TorchSize batch_dim)
	Construct from another torch::Tensor.
	BatchTensorBase (const Derived &tensor)
	Copy constructor.
	BatchTensorBase (Real)=delete
bool	batched () const
	Whether the tensor is batched.
TorchSize	batch_dim () const
	Return the number of batch dimensions.
TorchSize &	batch_dim ()
	Return a writable reference to the batch dimension.
TorchSize	base_dim () const
	Return the number of base dimensions.
TorchShapeRef	batch_sizes () const
	Return the batch size.
TorchSize	batch_size (TorchSize index) const
	Return the length of some batch axis.
TorchShapeRef	base_sizes () const
	Return the base size.
TorchSize	base_size (TorchSize index) const
	Return the length of some base axis.
TorchSize	base_storage () const
	Return the flattened storage needed just for the base indices.
Derived	batch_index (TorchSlice indices) const
	Get a batch.
BatchTensor	base_index (const TorchSlice &indices) const
	Return an index sliced on the base dimensions.
void	batch_index_put (TorchSlice indices, const torch::Tensor &other)
	Set a index sliced on the batch dimensions to a value.
void	base_index_put (const TorchSlice &indices, const torch::Tensor &other)
	Set a index sliced on the base dimensions to a value.
Derived	batch_expand (TorchShapeRef batch_size) const
	Return a new view of the tensor with values broadcast along the batch dimensions.
BatchTensor	base_expand (TorchShapeRef 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 (TorchShapeRef batch_size) const
	Return a new tensor with values broadcast along the batch dimensions.
BatchTensor	base_expand_copy (TorchShapeRef base_size) const
	Return a new tensor with values broadcast along the base dimensions.
Derived	batch_reshape (TorchShapeRef batch_shape) const
	Reshape batch dimensions.
BatchTensor	base_reshape (TorchShapeRef base_shape) const
	Reshape base dimensions.
Derived	batch_unsqueeze (TorchSize d) const
	Unsqueeze a batch dimension.
Derived	list_unsqueeze () const
	Unsqueeze on the special list batch dimension.
BatchTensor	base_unsqueeze (TorchSize d) const
	Unsqueeze a base dimension.
Derived	batch_transpose (TorchSize d1, TorchSize d2) const
	Transpose two batch dimensions.
BatchTensor	base_transpose (TorchSize d1, TorchSize d2) const
	Transpose two base dimensions.
BatchTensor	base_movedim (TorchSize d1, TorchSize d2) const
	Move two base dimensions.
Derived	clone (torch::MemoryFormat memory_format=torch::MemoryFormat::Contiguous) const
	Clone (take ownership)
Derived	detach () const
	Discard function graph.
Derived	to (const torch::TensorOptions &options) const
	Send to options.
Derived	operator- () const
	Negation.
Derived	batch_sum (TorchSize d) const
	Sum on a batch index.
Derived	list_sum () const
	Sum on the list index (TODO: replace with class)
Public Member Functions inherited from UserTensor
	UserTensor (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 VecBase< WR2 >
static WR2	fill (const Real &v1, const Real &v2, const Real &v3, const torch::TensorOptions &options=default_tensor_options())
static WR2	fill (const Scalar &v1, const Scalar &v2, const Scalar &v3)
static R2	identity_map (const torch::TensorOptions &options=default_tensor_options())
	The derivative of a vector with respect to itself.
Static Public Member Functions inherited from FixedDimTensor< Derived, S >
static Derived	empty (const torch::TensorOptions &options=default_tensor_options())
	Unbatched empty tensor.
static Derived	empty (TorchShapeRef batch_shape, const torch::TensorOptions &options=default_tensor_options())
	Empty tensor given batch shape.
static Derived	zeros (const torch::TensorOptions &options=default_tensor_options())
	Unbatched zero tensor.
static Derived	zeros (TorchShapeRef batch_shape, const torch::TensorOptions &options=default_tensor_options())
	Zero tensor given batch shape.
static Derived	ones (const torch::TensorOptions &options=default_tensor_options())
	Unbatched unit tensor.
static Derived	ones (TorchShapeRef batch_shape, const torch::TensorOptions &options=default_tensor_options())
	Unit tensor given batch shape.
static Derived	full (Real init, const torch::TensorOptions &options=default_tensor_options())
	Unbatched tensor filled with a given value given base shape.
static Derived	full (TorchShapeRef batch_shape, Real init, const torch::TensorOptions &options=default_tensor_options())
	Full tensor given batch shape.
static BatchTensor	identity_map (const torch::TensorOptions &)
	Derived tensor classes should define identity_map where appropriate.
Static Public Member Functions inherited from BatchTensorBase< 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, TorchSize nstep, TorchSize dim=0, TorchSize 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, TorchSize nstep, TorchSize dim=0, TorchSize batch_dim=-1, Real base=10)
	log-space equivalent of the linspace named constructor
Static Public Member Functions inherited from UserTensor
static OptionSet	expected_options ()
Static Public Member Functions inherited from NEML2Object
static OptionSet	expected_options ()

Additional Inherited Members
Static Public Attributes inherited from FixedDimTensor< Derived, S >
static const TorchShape	const_base_sizes = {S...}
	The base shape.
static constexpr TorchSize	const_base_dim = sizeof...(S)
	The base dim.
static const TorchSize	const_base_storage = utils::storage_size({S...})
	The base storage.

Constructor & Destructor Documentation

FillWR2()

FillWR2

(

const OptionSet &

options

)

Construct a new FillWR2 object.

Parameters

options

The options extracted from the input file.

Member Function Documentation

expected_options()

OptionSet expected_options ( )

static