template<class Derived>
class neml2::R2Base< Derived >
Base class for second order tensor.
The storage space is (3, 3).
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| | operator SR2 () const |
| | Conversion operator to symmetric second order tensor.
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| Derived | rotate (const Rot &r) const |
| | Rotate using a Rodrigues vector.
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| Derived | rotate (const R2 &R) const |
| | Rotate using a rotation matrix.
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| R3 | drotate (const Rot &r) const |
| | Derivative of the rotated tensor w.r.t. the Rodrigues vector.
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| R4 | drotate (const R2 &R) const |
| | Derivative of the rotated tensor w.r.t. the rotation matrix.
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| Scalar | operator() (Size i, Size j) const |
| | Accessor.
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| Vec | row (Size i) const |
| | Row.
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| Vec | col (Size i) const |
| | Coluomn.
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| Scalar | det () const |
| | Determinant.
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| Scalar | inner (const R2 &other) const |
| | Double contraction ij,ij.
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| R4 | outer (const R2 &other) const |
| | Outer product ij,kl.
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| Derived | inverse () const |
| | Inversion.
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| Derived | transpose () const |
| | transpose
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| | PrimitiveTensor ()=default |
| | Special member functions.
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| | PrimitiveTensor (const ATensor &tensor, Size batch_dim) |
| | Construct from another ATensor given batch dimension.
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| | PrimitiveTensor (const ATensor &tensor, const TraceableTensorShape &batch_shape) |
| | Construct from another ATensor given batch shape.
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| | PrimitiveTensor (const Tensor &tensor) |
| | Copy constructor.
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| | PrimitiveTensor (const ATensor &tensor) |
| | Construct from another ATensor and infer batch dimension.
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| | operator Tensor () const |
| | Implicit conversion to a Tensor and loses information on the fixed base shape.
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| | TensorBase ()=default |
| | Special member functions.
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| | TensorBase (const ATensor &tensor, Size batch_dim) |
| | Construct from another ATensor with given batch dimension.
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| | TensorBase (const ATensor &tensor, const TraceableTensorShape &batch_shape) |
| | Construct from another ATensor with given batch shape.
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| | TensorBase (const neml2::Tensor &tensor) |
| | Copy constructor.
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| | TensorBase (double)=delete |
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| | TensorBase (float)=delete |
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| | TensorBase (int)=delete |
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| Derived | variable_data () const |
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| Derived | clone () const |
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| Derived | detach () const |
| | Discard function graph.
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| Derived | to (const TensorOptions &options) const |
| | Change tensor options.
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| Derived | operator- () const |
| | Negation.
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| bool | batched () const |
| | Whether the tensor is batched.
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| Size | batch_dim () const |
| | Return the number of batch dimensions.
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| Size | base_dim () const |
| | Return the number of base dimensions.
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| const TraceableTensorShape & | batch_sizes () const |
| | Return the batch size.
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| TraceableSize | batch_size (Size index) const |
| | Return the size of a batch axis.
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| TensorShapeRef | base_sizes () const |
| | Return the base size.
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| Size | base_size (Size index) const |
| | Return the size of a base axis.
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| Size | base_storage () const |
| | Return the flattened storage needed just for the base indices.
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| Derived | batch_index (indexing::TensorIndicesRef indices) const |
| | Get a tensor by slicing on the batch dimensions.
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| neml2::Tensor | base_index (indexing::TensorIndicesRef indices) const |
| | Get a tensor by slicing on the base dimensions.
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| Derived | batch_slice (Size dim, const indexing::Slice &index) const |
| | Get a tensor by slicing along a batch dimension.
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| neml2::Tensor | base_slice (Size dim, const indexing::Slice &index) const |
| | Get a tensor by slicing along a base dimension.
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| void | batch_index_put_ (indexing::TensorIndicesRef indices, const ATensor &other) |
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| void | batch_index_put_ (indexing::TensorIndicesRef indices, const CScalar &v) |
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| void | base_index_put_ (indexing::TensorIndicesRef indices, const ATensor &other) |
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| void | base_index_put_ (indexing::TensorIndicesRef indices, const CScalar &v) |
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| Derived | batch_expand (const TraceableTensorShape &batch_shape) const |
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| Derived | batch_expand (const TraceableSize &batch_size, Size dim) const |
| | Return a new view of the tensor with values broadcast along a given batch dimension.
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| neml2::Tensor | base_expand (TensorShapeRef base_shape) const |
| | Return a new view of the tensor with values broadcast along the base dimensions.
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| 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.
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| Derived | batch_expand_as (const neml2::Tensor &other) const |
| | Expand the batch to have the same shape as another tensor.
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| neml2::Tensor | base_expand_as (const neml2::Tensor &other) const |
| | Expand the base to have the same shape as another tensor.
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| Derived | batch_expand_copy (const TraceableTensorShape &batch_shape) const |
| | Return a new tensor with values broadcast along the batch dimensions.
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| neml2::Tensor | base_expand_copy (TensorShapeRef base_shape) const |
| | Return a new tensor with values broadcast along the base dimensions.
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| Derived | batch_reshape (const TraceableTensorShape &batch_shape) const |
| | Reshape batch dimensions.
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| neml2::Tensor | base_reshape (TensorShapeRef base_shape) const |
| | Reshape base dimensions.
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| Derived | batch_unsqueeze (Size d) const |
| | Unsqueeze a batch dimension.
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| neml2::Tensor | base_unsqueeze (Size d) const |
| | Unsqueeze a base dimension.
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| Derived | batch_transpose (Size d1, Size d2) const |
| | Transpose two batch dimensions.
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| neml2::Tensor | base_transpose (Size d1, Size d2) const |
| | Transpose two base dimensions.
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| neml2::Tensor | base_flatten () const |
| | Flatten base dimensions.
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| static Derived | fill (const CScalar &a, const TensorOptions &options=default_tensor_options()) |
| | Fill the diagonals with a11 = a22 = a33 = a.
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| static Derived | fill (const Scalar &a) |
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| static Derived | fill (const CScalar &a11, const CScalar &a22, const CScalar &a33, const TensorOptions &options=default_tensor_options()) |
| | Fill the diagonals with a11, a22, a33.
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| static Derived | fill (const Scalar &a11, const Scalar &a22, const Scalar &a33) |
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| static Derived | fill (const CScalar &a11, const CScalar &a22, const CScalar &a33, const CScalar &a23, const CScalar &a13, const CScalar &a12, const TensorOptions &options=default_tensor_options()) |
| | Fill symmetric entries.
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| static Derived | fill (const Scalar &a11, const Scalar &a22, const Scalar &a33, const Scalar &a23, const Scalar &a13, const Scalar &a12) |
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| static Derived | fill (const CScalar &a11, const CScalar &a12, const CScalar &a13, const CScalar &a21, const CScalar &a22, const CScalar &a23, const CScalar &a31, const CScalar &a32, const CScalar &a33, const TensorOptions &options=default_tensor_options()) |
| | Fill all entries.
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| static Derived | fill (const Scalar &a11, const Scalar &a12, const Scalar &a13, const Scalar &a21, const Scalar &a22, const Scalar &a23, const Scalar &a31, const Scalar &a32, const Scalar &a33) |
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| static Derived | skew (const Vec &v) |
| | Skew matrix from Vec.
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| static Derived | identity (const TensorOptions &options=default_tensor_options()) |
| | Identity.
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| static Derived | create (const TensorDataContainer &data, const TensorOptions &options=default_tensor_options()) |
| | Arbitrary tensor from a nested container with inferred batch dimension.
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| static Derived | empty (const TensorOptions &options=default_tensor_options()) |
| | Unbatched empty tensor.
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| static Derived | empty (const TraceableTensorShape &batch_shape, const TensorOptions &options=default_tensor_options()) |
| | Empty tensor given batch shape.
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| static Derived | zeros (const TensorOptions &options=default_tensor_options()) |
| | Unbatched zero tensor.
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| static Derived | zeros (const TraceableTensorShape &batch_shape, const TensorOptions &options=default_tensor_options()) |
| | Zero tensor given batch shape.
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| static Derived | ones (const TensorOptions &options=default_tensor_options()) |
| | Unbatched unit tensor.
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| static Derived | ones (const TraceableTensorShape &batch_shape, const TensorOptions &options=default_tensor_options()) |
| | Unit tensor given batch shape.
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| static Derived | full (const CScalar &init, const TensorOptions &options=default_tensor_options()) |
| | Unbatched tensor filled with a given value given base shape.
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| static Derived | full (const TraceableTensorShape &batch_shape, const CScalar &init, const TensorOptions &options=default_tensor_options()) |
| | Full tensor given batch shape.
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| static Tensor | identity_map (const TensorOptions &) |
| | Derived tensor classes should define identity_map where appropriate.
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| static Derived | empty_like (const Derived &other) |
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| static Derived | zeros_like (const Derived &other) |
| | Zero tensor like another, i.e. same batch and base shapes, same tensor options, etc.
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| static Derived | ones_like (const Derived &other) |
| | Unit tensor like another, i.e. same batch and base shapes, same tensor options, etc.
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| static Derived | full_like (const Derived &other, const CScalar &init) |
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| static Derived | linspace (const Derived &start, const Derived &end, Size nstep, Size dim=0) |
| | Create a new tensor by adding a new batch dimension with linear spacing between start and end.
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| static Derived | logspace (const Derived &start, const Derived &end, Size nstep, Size dim=0, const CScalar &base=10) |
| | log-space equivalent of the linspace named constructor
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