class ov::op::util::MultiSubGraphOp¶

Overview¶

Abstract base class for sub-graph based ops, i.e ops that have some sub-graphs. More…

#include <multi_subgraph_base.hpp>

class MultiSubGraphOp: public ov::op::Op
{
public:
    // typedefs

    typedef std::vector<MultiSubGraphOp::InputDescription::Ptr> MultiSubgraphInputDescriptionVector;
    typedef std::vector<MultiSubGraphOp::OutputDescription::Ptr> MultiSubgraphOutputDescriptionVector;

    // classes

    class BodyOutputDescription;
    class ConcatOutputDescription;
    class InputDescription;
    class InvariantInputDescription;
    class MergedInputDescription;
    class OutputDescription;
    class SliceInputDescription;

    // construction

    MultiSubGraphOp(const MultiSubGraphOp&);
    MultiSubGraphOp(MultiSubGraphOp&&);

    // methods

    OPENVINO_OP("MultiSubGraphOp", "util");
    virtual const std::shared_ptr<Model>& get_function(size_t index) const;
    virtual void set_function(int index, const std::shared_ptr<Model>& func);
    const MultiSubgraphInputDescriptionVector& get_input_descriptions(int index) const;
    MultiSubgraphInputDescriptionVector& get_input_descriptions(int index);
    const MultiSubgraphOutputDescriptionVector& get_output_descriptions(int index) const;
    MultiSubgraphOutputDescriptionVector& get_output_descriptions(int index);

    void set_input_descriptions(
        int index,
        const MultiSubgraphInputDescriptionVector& inputs
        );

    void set_output_descriptions(
        int index,
        const MultiSubgraphOutputDescriptionVector& outputs
        );

    virtual void set_invariant_inputs(
        const Output<Node>& value,
        const ov::ParameterVector& bodies_parameters
        );

    virtual Output<Node> set_body_outputs(const ResultVector& bodies_results);
    virtual size_t get_internal_subgraphs_size() const;
    virtual size_t get_input_descriptions_size() const;
    virtual size_t get_output_descriptions_size() const;
    bool get_transformations_allowed() const;
    MultiSubGraphOp& operator = (const MultiSubGraphOp&);
    MultiSubGraphOp& operator = (MultiSubGraphOp&&);
};

// direct descendants

class FrameworkNode;
class SubGraphOp;
class If;

Inherited Members¶

public:
    // typedefs

    typedef DiscreteTypeInfo type_info_t;
    typedef std::map<std::string, Any> RTMap;

    // methods

    virtual void validate_and_infer_types();
    void constructor_validate_and_infer_types();
    virtual bool visit_attributes(AttributeVisitor&);
    virtual const ov::op::AutoBroadcastSpec& get_autob() const;
    virtual bool has_evaluate() const;

    virtual bool evaluate(
        const ov::HostTensorVector& output_values,
        const ov::HostTensorVector& input_values
        ) const;

    virtual bool evaluate(
        const ov::HostTensorVector& output_values,
        const ov::HostTensorVector& input_values,
        const EvaluationContext& evaluationContext
        ) const;

    virtual bool evaluate(
        ov::TensorVector& output_values,
        const ov::TensorVector& input_values
        ) const;

    virtual bool evaluate(
        ov::TensorVector& output_values,
        const ov::TensorVector& input_values,
        const ov::EvaluationContext& evaluationContext
        ) const;

    virtual bool evaluate_lower(ov::TensorVector& output_values) const;
    virtual bool evaluate_upper(ov::TensorVector& output_values) const;
    virtual bool evaluate_label(TensorLabelVector& output_labels) const;

    virtual bool constant_fold(
        OutputVector& output_values,
        const OutputVector& inputs_values
        );

    virtual OutputVector decompose_op() const;
    virtual const type_info_t& get_type_info() const = 0;
    const char \* get_type_name() const;
    void set_arguments(const NodeVector& arguments);
    void set_arguments(const OutputVector& arguments);
    void set_argument(size_t position, const Output<Node>& argument);

    void set_output_type(
        size_t i,
        const element::Type& element_type,
        const PartialShape& pshape
        );

    void set_output_size(size_t output_size);
    void invalidate_values();
    virtual void revalidate_and_infer_types();
    virtual std::string description() const;
    const std::string& get_name() const;
    void set_friendly_name(const std::string& name);
    const std::string& get_friendly_name() const;
    virtual bool is_dynamic() const;
    size_t get_instance_id() const;
    virtual std::ostream& write_description(std::ostream& os, uint32_t depth = 0) const;
    const std::vector<std::shared_ptr<Node>>& get_control_dependencies() const;
    const std::vector<Node \*>& get_control_dependents() const;
    void add_control_dependency(std::shared_ptr<Node> node);
    void remove_control_dependency(std::shared_ptr<Node> node);
    void clear_control_dependencies();
    void clear_control_dependents();
    void add_node_control_dependencies(std::shared_ptr<Node> source_node);
    void add_node_control_dependents(std::shared_ptr<Node> source_node);
    void transfer_control_dependents(std::shared_ptr<Node> replacement);
    size_t get_output_size() const;
    const element::Type& get_output_element_type(size_t i) const;
    const element::Type& get_element_type() const;
    const Shape& get_output_shape(size_t i) const;
    const PartialShape& get_output_partial_shape(size_t i) const;
    Output<const Node> get_default_output() const;
    Output<Node> get_default_output();
    virtual size_t get_default_output_index() const;
    size_t no_default_index() const;
    const Shape& get_shape() const;
    descriptor::Tensor& get_output_tensor(size_t i) const;
    descriptor::Tensor& get_input_tensor(size_t i) const;
    std::set<Input<Node>> get_output_target_inputs(size_t i) const;
    size_t get_input_size() const;
    const element::Type& get_input_element_type(size_t i) const;
    const Shape& get_input_shape(size_t i) const;
    const PartialShape& get_input_partial_shape(size_t i) const;
    Node \* get_input_node_ptr(size_t index) const;
    std::shared_ptr<Node> get_input_node_shared_ptr(size_t index) const;
    Output<Node> get_input_source_output(size_t i) const;
    virtual std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& inputs) const = 0;
    std::shared_ptr<Node> copy_with_new_inputs(const OutputVector& new_args) const;

    std::shared_ptr<Node> copy_with_new_inputs(
        const OutputVector& inputs,
        const std::vector<std::shared_ptr<Node>>& control_dependencies
        ) const;

    bool has_same_type(std::shared_ptr<const Node> node) const;
    RTMap& get_rt_info();
    const RTMap& get_rt_info() const;
    NodeVector get_users(bool check_is_used = false) const;
    bool operator < (const Node& other) const;
    std::vector<Input<Node>> inputs();
    std::vector<Input<const Node>> inputs() const;
    std::vector<Output<Node>> input_values() const;
    std::vector<Output<Node>> outputs();
    std::vector<Output<const Node>> outputs() const;
    Input<Node> input(size_t input_index);
    Input<const Node> input(size_t input_index) const;
    Output<Node> input_value(size_t input_index) const;
    Output<Node> output(size_t output_index);
    Output<const Node> output(size_t output_index) const;

    virtual bool match_value(
        ov::pass::pattern::Matcher \* matcher,
        const Output<Node>& pattern_value,
        const Output<Node>& graph_value
        );

    virtual bool match_node(
        ov::pass::pattern::Matcher \* matcher,
        const Output<Node>& graph_value
        );

    static _OPENVINO_HIDDEN_METHODconst ::ov::Node::type_info_t& get_type_info_static();
    virtual const ::ov::Node::type_info_t& get_type_info() const;

Detailed Documentation¶

Abstract base class for sub-graph based ops, i.e ops that have some sub-graphs.

Methods¶

virtual const std::shared_ptr<Model>& get_function(size_t index) const

Gets internal sub-graph by index in MultiSubGraphOp.

Parameters:

index

sub-graph’s index in op

Returns:

pointer to Model with sub-graph

virtual void set_function(int index, const std::shared_ptr<Model>& func)

Adds sub-graph to MultiSubGraphOp.

Parameters:

index	index of new sub-graph
func	func new sub_graph as Model

const MultiSubgraphInputDescriptionVector& get_input_descriptions(int index) const

Gets vector with connections beewtwen operation inputs and internal sub-graph parameters.

Parameters:

index

index of internal sub-graph

Returns:

vector of input descriptions

MultiSubgraphInputDescriptionVector& get_input_descriptions(int index)

Gets vector with connections beewtwen operation inputs and internal sub-graph parameters.

Parameters:

index

index of internal sub-graph

Returns:

vector of input descriptions

const MultiSubgraphOutputDescriptionVector& get_output_descriptions(int index) const

Gets vector with connections beewtwen operation outputs and internal sub-graph results.

Parameters:

index

index of internal sub-graph

Returns:

vector of output descriptions

MultiSubgraphOutputDescriptionVector& get_output_descriptions(int index)

Gets vector with connections beewtwen operation outputs and internal sub-graph results.

Parameters:

index

index of internal sub-graph

Returns:

vector of output descriptions

void set_input_descriptions(
    int index,
    const MultiSubgraphInputDescriptionVector& inputs
    )

Sets vector with connections beewtwen operation inputs and internal sub-graph parameters.

Parameters:

index	index of internal sub-graph
inputs	vector of input descriptions

void set_output_descriptions(
    int index,
    const MultiSubgraphOutputDescriptionVector& outputs
    )

Sets vector with connections beewtwen operation outputs and internal sub-graph results.

Parameters:

index	index of internal sub-graph
outputs	vector of input descriptions

virtual void set_invariant_inputs(
    const Output<Node>& value,
    const ov::ParameterVector& bodies_parameters
    )

Set input decriptions for MultiSubGraphOp input.

Parameters:

value	The value supplied as an input to the block.
bodies_parameters	vector of bodies parameters.

virtual Output<Node> set_body_outputs(const ResultVector& bodies_results)

Set output decriptions for MultiSubGraphOp output.

Parameters:

bodies_results

vector of bodies results for one output.

Returns:

value Output node for bodies_results.

virtual size_t get_internal_subgraphs_size() const

Get number of internal sub-graphs.

Returns:

Number of sub-graphs.

virtual size_t get_input_descriptions_size() const

Get number of input descriptions.

Returns:

Number of input descriptions

virtual size_t get_output_descriptions_size() const

Get number of output descriptions.

Returns:

Number of output descriptions