The symmetric fourth order tensor, with symmetry in the first two dimensionss as well as in the last two dimensions.
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The symmetric fourth order tensor, with symmetry in the first two dimensionss as well as in the last two dimensions.
Mandel notation is used, and so the storage space is (6, 6).
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| | SSR4 (const R4 &T) |
| | Initialize with the symmetrized fourth order tensor.
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| SSR4 | rotate (const Rot &r) const |
| | Rotate.
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| SSFR5 | drotate (const Rot &r) const |
| | Derivative of the rotated tensor w.r.t. the Rodrigues vector.
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| SSSSR8 | drotate_self (const Rot &r) const |
| | Derivative of the rotated tensor w.r.t. itself.
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| Scalar | operator() (Size i, Size j, Size k, Size l) const |
| | Accessor.
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| SSR4 | inverse () const |
| | Inversion.
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| SSSSR8 | dinverse () const |
| | Derivative of inverse with respect to self.
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| SSR4 | transpose_minor () const |
| | Transpose minor axes, no-op.
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| SSR4 | transpose_major () const |
| | Transpose major axes.
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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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| SSR4 | variable_data () const |
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| SSR4 | clone () const |
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| SSR4 | detach () const |
| | Discard function graph.
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| SSR4 | to (const TensorOptions &options) const |
| | Change tensor options.
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| SSR4 | 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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| SSR4 | 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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| SSR4 | 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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| SSR4 | batch_expand (const TraceableTensorShape &batch_shape) const |
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| SSR4 | 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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| SSR4 | 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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| SSR4 | 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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| SSR4 | 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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| SSR4 | 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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| SSR4 | 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 SSR4 | identity (const TensorOptions &options=default_tensor_options()) |
| | Create the identity tensor \(\delta_{ij}\delta_{kl}\).
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| static SSR4 | identity_sym (const TensorOptions &options=default_tensor_options()) |
| | Create the symmetric identity tensor \(\delta_{ik}\delta_{jl}/2 + \delta_{il}\delta_{jk}/2\).
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| static SSR4 | identity_vol (const TensorOptions &options=default_tensor_options()) |
| | Create the volumetric identity tensor \(\delta_{ij}\delta_{kl}/3\).
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| static SSR4 | identity_dev (const TensorOptions &options=default_tensor_options()) |
| | Create the deviatoric identity tensor \(\delta_{ik}\delta_{jl}/2 + \delta_{il}\delta_{jk}/2 - \delta_{ij}\delta_{kl}/3\).
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| static SSR4 | identity_C1 (const TensorOptions &options=default_tensor_options()) |
| | Building block for C1 constant.
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| static SSR4 | identity_C2 (const TensorOptions &options=default_tensor_options()) |
| | Building block for C2 constant.
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| static SSR4 | identity_C3 (const TensorOptions &options=default_tensor_options()) |
| | Building block for C3 constant.
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| static SSR4 | isotropic_E_nu (const Scalar &E, const Scalar &nu) |
| | Create the fourth order elasticity tensor given the Young's modulus and the Poisson's ratio.
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| static SSR4 | isotropic_E_nu (const double &E, const double &nu, const TensorOptions &options=default_tensor_options()) |
| | Create the fourth order elasticity tensor given the Young's modulus and the Poisson's ratio.
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| static SSR4 | fill_C1_C2_C3 (const Scalar &C1, const Scalar &C2, const Scalar &C3) |
| | Create the fourth order elasticity tensor given the three non-zero coefficients.
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| static SSR4 | fill_C1_C2_C3 (const double &C1, const double &C2, const double &C3, const TensorOptions &options=default_tensor_options()) |
| | Create the fourth order elasticity tensor given the three non-zero coefficients.
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| static SSSSR8 | identity_map (const TensorOptions &options=default_tensor_options()) |
| | The derivative of a SSR4 with respect to itself.
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| static SSR4 | 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 SSR4 | empty (const TensorOptions &options=default_tensor_options()) |
| | Unbatched empty tensor.
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| static SSR4 | empty (const TraceableTensorShape &batch_shape, const TensorOptions &options=default_tensor_options()) |
| | Empty tensor given batch shape.
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| static SSR4 | zeros (const TensorOptions &options=default_tensor_options()) |
| | Unbatched zero tensor.
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| static SSR4 | zeros (const TraceableTensorShape &batch_shape, const TensorOptions &options=default_tensor_options()) |
| | Zero tensor given batch shape.
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| static SSR4 | ones (const TensorOptions &options=default_tensor_options()) |
| | Unbatched unit tensor.
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| static SSR4 | ones (const TraceableTensorShape &batch_shape, const TensorOptions &options=default_tensor_options()) |
| | Unit tensor given batch shape.
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| static SSR4 | 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 SSR4 | 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 SSR4 | empty_like (const SSR4 &other) |
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| static SSR4 | zeros_like (const SSR4 &other) |
| | Zero tensor like another, i.e. same batch and base shapes, same tensor options, etc.
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| static SSR4 | ones_like (const SSR4 &other) |
| | Unit tensor like another, i.e. same batch and base shapes, same tensor options, etc.
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| static SSR4 | full_like (const SSR4 &other, const CScalar &init) |
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| static SSR4 | linspace (const SSR4 &start, const SSR4 &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 SSR4 | logspace (const SSR4 &start, const SSR4 &end, Size nstep, Size dim=0, const CScalar &base=10) |
| | log-space equivalent of the linspace named constructor
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