Class ov::Model¶

class Model : public std::enable_shared_from_this<Model>¶

A user-defined model.

Public Functions

explicit Model(const ov::OutputVector &results, const std::string &name = "")¶: Constructs a Model. Lists of parameters and variables will be generated automatically based on traversing the graph from the results.

Model(const ov::OutputVector &results, const ov::SinkVector &sinks, const std::string &name = "")¶: Constructs a Model. Lists of parameters and variables will be generated automatically based on traversing the graph from the results and the sinks.

size_t get_output_size() const¶: Return the number of outputs for this Model.

std::shared_ptr<ov::Node> get_output_op(size_t i) const¶: Return the op that generates output i.

std::shared_ptr<ov::Model> clone() const¶: Clones the original model.

std::vector<ov::Output<ov::Node>> outputs()¶: Model outputs.

std::vector<ov::Output<ov::Node>> inputs()¶: Model inputs.

const ov::element::Type &get_output_element_type(size_t i) const¶: Return the element type of output i.

const Shape &get_output_shape(size_t i) const¶: Return the shape of element i.

const PartialShape &get_output_partial_shape(size_t i) const¶: Return the partial shape of element i.

std::shared_ptr<ov::Node> get_result() const¶: Check that there is a single result and return it.

const std::string &get_name() const¶

Get the unique name of the model.

Returns: A const reference to the model’s unique name.

void set_friendly_name(const std::string &name)¶

Sets a friendly name for a model. This does not overwrite the unique name of the model and is retrieved via get_friendly_name(). Used mainly for debugging.

Parameters: name – is the friendly name to set

const std::string &get_friendly_name() const¶

Gets the friendly name for a model. If no friendly name has been set via set_friendly_name then the model’s unique name is returned.

Returns: A const reference to the model’s friendly name.

size_t get_graph_size() const¶: Returns the sum of the size of all nodes in the graph plus the size of all constant data. This has little value beyond comparing the relative size of graphs and should not be considered the actual memory consumption of a graph.

bool is_dynamic() const¶: Returns true if any of the op’s defined in the model contains partial shape.

void replace_parameter(size_t parameter_index, const std::shared_ptr<ov::op::v0::Parameter> &parameter)¶

Replace the parameter_indexth parameter of the model with parameter.

All users of the parameter_indexth parameter are redirected to parameter, and the parameter_indexth entry in the model parameter list is replaced with parameter.

Parameters

parameter_index – The index of the parameter to replace.
parameter – The parameter to substitute for the parameter_indexth parameter.

inline const ov::ParameterVector &get_parameters() const¶: Return the model parameters.

inline const ov::ResultVector &get_results() const¶: Return a list of model’s outputs.

int64_t get_parameter_index(const std::shared_ptr<ov::op::v0::Parameter> &parameter) const¶: Index for parameter, or -1.

int64_t get_result_index(const ov::Output<ov::Node> &value) const¶

Return the index of this model’s Result represented by the “value” Output object. This method returns -1 if an the passed output is not related to the Results of a model.

Parameters: value – Output containing Node

int64_t get_result_index(const ov::Output<const ov::Node> &value) const¶

Return the index of this model’s Result represented by the “value” Output object. This method returns -1 if an the passed output is not related to the Results of a model.

Parameters: value – Output containing Node

bool evaluate(ov::TensorVector &output_tensors, const ov::TensorVector &input_tensors, ov::EvaluationContext &evaluation_context) const¶

Evaluate the model on inputs, putting results in outputs.

Parameters

output_tensors – Tensors for the outputs to compute. One for each result
input_tensors – Tensors for the inputs. One for each inputs.
evaluation_context – Storage of additional settings and attributes that can be used when evaluating the model. This additional information can be shared across nodes.

bool evaluate(ov::TensorVector &output_tensors, const ov::TensorVector &input_tensors) const¶

Evaluate the model on inputs, putting results in outputs.

Parameters

output_tensors – Tensors for the outputs to compute. One for each result
input_tensors – Tensors for the inputs. One for each inputs.

inline const ov::SinkVector &get_sinks() const¶: Return a list of model’s sinks.

void add_sinks(const ov::SinkVector &sinks)¶

Add new sink nodes to the list. Method doesn’t validate graph, it should be done manually after all changes.

Parameters: sinks – new sink nodes

void remove_sink(const std::shared_ptr<ov::op::Sink> &sink)¶

Delete sink node from the list of sinks. Method doesn’t delete node from graph.

Parameters: sink – Sink to delete

void add_results(const ov::ResultVector &results)¶

Add new Result nodes to the list. Method doesn’t validate graph, it should be done manually after all changes.

Parameters: results – new Result nodes

void remove_result(const std::shared_ptr<ov::op::v0::Result> &result)¶

Delete Result node from the list of results. Method will not delete node from graph.

Parameters: result – Result node to delete

void add_parameters(const ov::ParameterVector &params)¶

Add new Parameter nodes to the list.

Method doesn’t change or validate graph, it should be done manually. For example, if you want to replace ReadValue node by Parameter, you should do the following steps:

replace node ReadValue by Parameter in graph
call add_parameter() to add new input to the list
call graph validation to check correctness of changes

Parameters: params – new Parameter nodes

void remove_parameter(const std::shared_ptr<ov::op::v0::Parameter> &param)¶

Delete Parameter node from the list of parameters. Method will not delete node from graph. You need to replace Parameter with other operation manually. Attention: Indexing of parameters can be changed.

Possible use of method is to replace input by variable. For it the following steps should be done:

Parameter node should be replaced by ReadValue
call remove_parameter(param) to remove input from the list
check if any parameter indexes are saved/used somewhere, update it for all inputs because indexes can be changed
call graph validation to check all changes

Parameters: param – Parameter node to delete

void add_variables(const ov::op::util::VariableVector &variables)¶

Add new variables to the list. Method doesn’t validate graph, it should be done manually after all changes.

Parameters: variables – new variables to add

void remove_variable(const ov::op::util::Variable::Ptr &variable)¶

Delete variable from the list of variables. Method doesn’t delete nodes that used this variable from the graph.

Parameters: variable – Variable to delete

inline const ov::op::util::VariableVector &get_variables() const¶: Return a list of model’s variables.

ov::op::util::Variable::Ptr get_variable_by_id(const std::string &variable_id) const¶: Return a variable by specified variable_id.

inline RTMap &get_rt_info()¶

Returns a runtime info.

Returns: reference to ov::AnyMap with runtime info

inline const RTMap &get_rt_info() const¶

Returns a constant runtime info.

Returns: reference to const ov::AnyMap with runtime info

template<class T, class ...Args, typename std::enable_if<!std::is_same<T, ov::Any>::value, bool>::type = true> inline const T &get_rt_info(Args... args) const¶

Returns a runtime attribute for the path, throws an ov::Exception if path doesn’t exist.

Template Parameters

T – the type of returned value
Args – types of variadic arguments

Parameters

args – path to the runtime attribute

Returns

constant reference to value from runtime info

template<class T, class ...Args, typename std::enable_if<std::is_same<T, ov::Any>::value, bool>::type = true> inline const T &get_rt_info(Args... args) const¶

Returns a runtime attribute for the path, throws an ov::Exception if path doesn’t exist.

Template Parameters

T – the type of returned value
Args – types of variadic arguments

Parameters

args – path to the runtime attribute

Returns

constant reference to value from runtime info

template<class T, typename std::enable_if<!std::is_same<T, ov::Any>::value, bool>::type = true> inline const T &get_rt_info(const std::vector<std::string> &args) const¶

Returns a runtime attribute for the path, throws an ov::Exception if path doesn’t exist.

Template Parameters: T – the type of returned value
Parameters: args – vector with path to the runtime attribute
Returns: constant reference to value from runtime info

template<class T, typename std::enable_if<std::is_same<T, ov::Any>::value, bool>::type = true> inline const T &get_rt_info(const std::vector<std::string> &args) const¶

Returns a runtime attribute for the path, throws an ov::Exception if path doesn’t exist.

Template Parameters: T – the type of returned value
Parameters: args – vector with path to the runtime attribute
Returns: constant reference to value from runtime info

template<class ...Args> inline bool has_rt_info(Args... args) const¶

Checks if given path exists in runtime info.

Template Parameters: Args – types of variadic arguments
Parameters: args – path to the runtime attribute
Returns: true if path exists, otherwise false

bool has_rt_info(const std::vector<std::string> &args) const¶

Checks if given path exists in runtime info.

Parameters: args – vector with path to the runtime attribute
Returns: true if path exists, otherwise false

template<class T, class ...Args> inline void set_rt_info(const T &argument, Args... args)¶

Add value inside the runtime info.

Template Parameters

T – type of new value
Args – types of variadic arguments

Parameters

argument – value for the runtime info
args – path to the runtime attribute

template<class T> inline void set_rt_info(const T &argument, const std::vector<std::string> &args)¶

Add value inside the runtime info.

Template Parameters

T – type of new value

Parameters

argument – value for the runtime info
args – vector with path to the runtime attribute