Parent class of slip rules, mapping from resolved shear and internal state to slip rates.
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Parent class of slip rules, mapping from resolved shear and internal state to slip rates.
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| SlipRule (const OptionSet &options) |
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| Model (const OptionSet &options) |
| Construct a new Model object.
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virtual void | to (const torch::TensorOptions &options) |
| Send model to a different device or dtype.
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void | diagnose (std::vector< Diagnosis > &) const override |
| Check for common problems.
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virtual bool | is_nonlinear_system () const |
| Whether this model defines one or more nonlinear equations to be solved.
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const std::vector< Model * > & | registered_models () const |
| The models that may be used during the evaluation of this model.
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Model * | registered_model (const std::string &name) const |
| Get a registered model by its name.
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std::set< VariableName > | consumed_items () const override |
| The variables that this model depends on.
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std::set< VariableName > | provided_items () const override |
| The variables that this model defines as part of its output.
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void | clear_input () override |
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void | clear_output () override |
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void | zero_input () override |
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void | zero_output () override |
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void | request_AD (VariableBase &y, const VariableBase &u) |
| Request to use AD to compute the first derivative of a variable.
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void | request_AD (VariableBase &y, const VariableBase &u1, const VariableBase &u2) |
| Request to use AD to compute the second derivative of a variable.
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virtual void | value () |
| Evalute the model.
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virtual void | value_and_dvalue () |
| Evalute the model and compute its derivative.
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virtual void | dvalue () |
| Evalute the derivative.
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virtual void | value_and_dvalue_and_d2value () |
| Evalute the model and compute its first and second derivatives.
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virtual void | d2value () |
| Evalute the second derivatives.
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virtual void | dvalue_and_d2value () |
| Evalute the first and second derivatives.
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virtual ValueMap | value (const ValueMap &in) |
| Convenient shortcut to construct and return the model value.
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virtual std::tuple< ValueMap, DerivMap > | value_and_dvalue (const ValueMap &in) |
| Convenient shortcut to construct and return the model value and its derivative.
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virtual DerivMap | dvalue (const ValueMap &in) |
| Convenient shortcut to construct and return the derivative.
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virtual std::tuple< ValueMap, DerivMap, SecDerivMap > | value_and_dvalue_and_d2value (const ValueMap &in) |
| Convenient shortcut to construct and return the model's value, first and second derivative.
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virtual SecDerivMap | d2value (const ValueMap &in) |
| Convenient shortcut to construct and return the model's second derivative.
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virtual std::tuple< DerivMap, SecDerivMap > | dvalue_and_d2value (const ValueMap &in) |
| Convenient shortcut to construct and return the model's first and second derivative.
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| Data (const OptionSet &options) |
| Construct a new Data object.
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const std::vector< Data * > & | registered_data () const |
| All the registered data objects.
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| NEML2Object ()=delete |
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| NEML2Object (NEML2Object &&)=delete |
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| NEML2Object (const NEML2Object &)=delete |
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NEML2Object & | operator= (const NEML2Object &)=delete |
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NEML2Object & | operator= (NEML2Object &&)=delete |
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virtual | ~NEML2Object ()=default |
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| NEML2Object (const OptionSet &options) |
| Construct a new NEML2Object object.
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const OptionSet & | input_options () const |
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const std::string & | name () const |
| A readonly reference to the object's name.
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const std::string & | type () const |
| A readonly reference to the object's type.
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const std::string & | path () const |
| A readonly reference to the object's path.
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const std::string & | doc () const |
| A readonly reference to the object's docstring.
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template<typename T = NEML2Object> |
const T * | host () const |
| Get a readonly pointer to the host.
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template<typename T = NEML2Object> |
T * | host () |
| Get a writable pointer to the host.
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| BufferStore (OptionSet options, NEML2Object *object) |
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| BufferStore (const BufferStore &)=delete |
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| BufferStore (BufferStore &&)=delete |
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BufferStore & | operator= (const BufferStore &)=delete |
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BufferStore & | operator= (BufferStore &&)=delete |
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virtual | ~BufferStore ()=default |
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const Storage< std::string, TensorValueBase > & | named_buffers () const |
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Storage< std::string, TensorValueBase > & | named_buffers () |
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TensorValueBase & | get_buffer (const std::string &name) |
| }@
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const TensorValueBase & | get_buffer (const std::string &name) const |
| Get a read-only reference of a buffer.
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| ParameterStore (OptionSet options, NEML2Object *object) |
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| ParameterStore (const ParameterStore &)=delete |
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| ParameterStore (ParameterStore &&)=delete |
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ParameterStore & | operator= (const ParameterStore &)=delete |
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ParameterStore & | operator= (ParameterStore &&)=delete |
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virtual | ~ParameterStore ()=default |
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const Storage< std::string, TensorValueBase > & | named_parameters () const |
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Storage< std::string, TensorValueBase > & | named_parameters () |
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void | set_parameter (const std::string &, const Tensor &) |
| }@
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void | set_parameters (const std::map< std::string, Tensor > &) |
| Set values for parameters.
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TensorValueBase & | get_parameter (const std::string &name) |
| Get a writable reference of a parameter.
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const TensorValueBase & | get_parameter (const std::string &name) const |
| Get a read-only reference of a parameter.
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bool | has_nl_param () const |
| Whether this parameter store has any nonlinear parameter.
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const VariableBase * | nl_param (const std::string &) const |
| Query the existence of a nonlinear parameter.
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virtual std::map< std::string, const VariableBase * > | named_nonlinear_parameters (bool recursive=false) const |
| Get all nonlinear parameters.
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virtual std::map< std::string, Model * > | named_nonlinear_parameter_models (bool recursive=false) const |
| Get all nonlinear parameters' models.
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| VariableStore (OptionSet options, Model *object) |
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| VariableStore (const VariableStore &)=delete |
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| VariableStore (VariableStore &&)=delete |
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VariableStore & | operator= (const VariableStore &)=delete |
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VariableStore & | operator= (VariableStore &&)=delete |
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virtual | ~VariableStore ()=default |
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LabeledAxis & | declare_axis (const std::string &name) |
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virtual void | setup_layout () |
| Setup the layout of all the registered axes.
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const torch::TensorOptions & | tensor_options () const |
| Current tensor options.
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LabeledAxis & | input_axis () |
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const LabeledAxis & | input_axis () const |
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LabeledAxis & | output_axis () |
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const LabeledAxis & | output_axis () const |
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Storage< VariableName, VariableBase > & | input_variables () |
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const Storage< VariableName, VariableBase > & | input_variables () const |
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Storage< VariableName, VariableBase > & | output_variables () |
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const Storage< VariableName, VariableBase > & | output_variables () const |
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VariableBase & | input_variable (const VariableName &) |
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const VariableBase & | input_variable (const VariableName &) const |
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VariableBase & | output_variable (const VariableName &) |
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const VariableBase & | output_variable (const VariableName &) const |
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void | assign_input (const ValueMap &vals) |
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void | assign_output (const ValueMap &vals) |
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void | assign_output_derivatives (const DerivMap &derivs) |
| Assign variable derivatives.
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ValueMap | collect_input () const |
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ValueMap | collect_output () const |
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DerivMap | collect_output_derivatives () const |
| Collect variable derivatives.
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SecDerivMap | collect_output_second_derivatives () const |
| Collect variable second derivatives.
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| NonlinearSystem (const NonlinearSystem &)=default |
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| NonlinearSystem (NonlinearSystem &&) noexcept=default |
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NonlinearSystem & | operator= (const NonlinearSystem &)=delete |
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NonlinearSystem & | operator= (NonlinearSystem &&)=delete |
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virtual | ~NonlinearSystem ()=default |
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| NonlinearSystem (const OptionSet &options) |
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virtual void | init_scaling (const Sol< false > &x, const bool verbose=false) |
| Compute algebraic Jacobian-based automatic scaling following https://cs.stanford.edu/people/paulliu/files/cs517-project.pdf.
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Res< true > | scale (const Res< false > &r) const |
| Apply scaling to the residual.
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Res< false > | unscale (const Res< true > &r) const |
| Remove scaling to the residual.
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Jac< true > | scale (const Jac< false > &J) const |
| Apply scaling to the Jacobian.
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Jac< false > | unscale (const Jac< true > &J) const |
| Remove scaling to the Jacobian.
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Sol< true > | scale (const Sol< false > &u) const |
| Apply scaling to the solution.
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Sol< false > | unscale (const Sol< true > &u) const |
| Remove scaling to the solution.
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virtual void | set_guess (const Sol< true > &x) final |
| Set the current guess.
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template<bool scaled> |
Res< scaled > | residual () |
| Assemble and return the residual.
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template<bool scaled> |
Res< scaled > | residual (const Sol< scaled > &x) |
| Convenient shortcut to set the current guess, assemble and return the residual.
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template<bool scaled> |
Jac< scaled > | Jacobian () |
| Assemble and return the Jacobian.
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template<bool scaled> |
Jac< scaled > | Jacobian (const Sol< scaled > &x) |
| Convenient shortcut to set the current guess, assemble and return the Jacobian.
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template<bool scaled> |
std::tuple< Res< scaled >, Jac< scaled > > | residual_and_Jacobian () |
| Assemble and return the residual and Jacobian.
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template<bool scaled> |
std::tuple< Res< scaled >, Jac< scaled > > | residual_and_Jacobian (const Sol< scaled > &x) |
| Convenient shortcut to set the current guess, assemble and return the residual and Jacobian.
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| DependencyDefinition ()=default |
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| DependencyDefinition (DependencyDefinition &&)=delete |
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| DependencyDefinition (const DependencyDefinition &)=delete |
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DependencyDefinition & | operator= (const DependencyDefinition &)=delete |
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DependencyDefinition & | operator= (DependencyDefinition &&)=delete |
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virtual | ~DependencyDefinition ()=default |
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| DiagnosticsInterface ()=delete |
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| DiagnosticsInterface (NEML2Object *object) |
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| DiagnosticsInterface (DiagnosticsInterface &&)=delete |
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| DiagnosticsInterface (const DiagnosticsInterface &)=delete |
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DiagnosticsInterface & | operator= (const DiagnosticsInterface &)=delete |
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DiagnosticsInterface & | operator= (DiagnosticsInterface &&)=delete |
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virtual | ~DiagnosticsInterface ()=default |
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template<typename... Args> |
void | diagnostic_assert (std::vector< Diagnosis > &diagnoses, bool assertion, Args &&... args) const |
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void | diagnostic_assert_state (std::vector< Diagnosis > &diagnoses, const VariableBase &v) const |
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void | diagnostic_assert_old_state (std::vector< Diagnosis > &diagnoses, const VariableBase &v) const |
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void | diagnostic_assert_force (std::vector< Diagnosis > &diagnoses, const VariableBase &v) const |
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void | diagnostic_assert_old_force (std::vector< Diagnosis > &diagnoses, const VariableBase &v) const |
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void | diagnostic_assert_residual (std::vector< Diagnosis > &diagnoses, const VariableBase &v) const |
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void | diagnostic_check_input_variable (std::vector< Diagnosis > &diagnoses, const VariableBase &v) const |
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void | diagnostic_check_output_variable (std::vector< Diagnosis > &diagnoses, const VariableBase &v) const |
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void | setup () override |
| Setup this object.
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virtual void | link_input_variables () |
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virtual void | link_input_variables (Model *submodel) |
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virtual void | link_output_variables () |
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virtual void | link_output_variables (Model *submodel) |
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virtual void | request_AD () |
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void | diagnose_nl_sys (std::vector< Diagnosis > &diagnoses) const |
| Additional diagnostics for a nonlinear system.
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virtual void | set_value (bool out, bool dout_din, bool d2out_din2)=0 |
| The map between input -> output, and optionally its derivatives.
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template<typename T , typename = typename std::enable_if_t<std::is_base_of_v<Model, T>>> |
T & | register_model (const std::string &name, bool nonlinear=false, bool merge_input=true) |
| Register a model that the current model may use during its evaluation.
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void | set_guess (const Sol< false > &) override |
| Set the unscaled current guess.
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void | assemble (Res< false > *, Jac< false > *) override |
| Compute the unscaled residual and Jacobian.
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template<typename T , typename = typename std::enable_if_t<std::is_base_of_v<Data, T>>> |
T & | register_data (const std::string &name) |
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virtual void | send_buffers_to (const torch::TensorOptions &options) |
| Send all buffers to options .
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template<typename T , typename = typename std::enable_if_t<std::is_base_of_v<TensorBase<T>, T>>> |
const T & | declare_buffer (const std::string &name, const T &rawval) |
| Declare a buffer.
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template<typename T , typename = typename std::enable_if_t<std::is_base_of_v<TensorBase<T>, T>>> |
const T & | declare_buffer (const std::string &name, const CrossRef< T > &crossref) |
| Declare a buffer.
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template<typename T , typename = typename std::enable_if_t<std::is_base_of_v<TensorBase<T>, T>>> |
const T & | declare_buffer (const std::string &name, const std::string &input_option_name) |
| Declare a buffer.
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virtual void | send_parameters_to (const torch::TensorOptions &options) |
| Send parameters to options.
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template<typename T , typename = typename std::enable_if_t<std::is_base_of_v<TensorBase<T>, T>>> |
const T & | declare_parameter (const std::string &name, const T &rawval) |
| Declare a parameter.
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template<typename T , typename = typename std::enable_if_t<std::is_base_of_v<TensorBase<T>, T>>> |
const T & | declare_parameter (const std::string &name, const CrossRef< T > &crossref, bool allow_nonlinear) |
| Declare a parameter.
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template<typename T , typename = typename std::enable_if_t<std::is_base_of_v<TensorBase<T>, T>>> |
const T & | declare_parameter (const std::string &name, const std::string &input_option_name, bool allow_nonlinear=false) |
| Declare a parameter.
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template<typename T , typename S > |
const Variable< T > & | declare_input_variable (S &&name, TensorShapeRef list_shape={}, TensorShapeRef base_shape={}) |
| Declare an input variable.
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template<typename T , typename S > |
Variable< T > & | declare_output_variable (S &&name, TensorShapeRef list_shape={}, TensorShapeRef base_shape={}) |
| Declare an output variable.
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const VariableBase * | clone_input_variable (const VariableBase &var, const VariableName &new_name={}) |
| Clone a variable and put it on the input axis.
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VariableBase * | clone_output_variable (const VariableBase &var, const VariableName &new_name={}) |
| Clone a variable and put it on the output axis.
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