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NonlinearSystem::Jac< scaled > Struct Template Reference
Detailed Description
template<bool scaled>
struct neml2::NonlinearSystem::Jac< scaled >
struct neml2::NonlinearSystem::Jac< scaled >
Convenience struct to hold Jacobian to prevent developers from accidentally confusing the scaled and unscaled residual
#include <NonlinearSystem.h>
Inheritance diagram for NonlinearSystem::Jac< scaled >:
Public Member Functions | |
| Jac ()=default | |
| Jac (const Tensor &J) | |
| Conversion from Tensor must be explicit. | |
| Jac (const Jac<!scaled > &J) | |
| Conversion between scaled and unscaled must be explicit. | |
 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. | |
Additional Inherited Members | |
| 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 | |
Constructor & Destructor Documentation
◆ Jac() [1/3]
◆ Jac() [2/3]
Conversion from Tensor must be explicit.
