class ov::op::util::SubGraphOp¶

Overview¶

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

#include <sub_graph_base.hpp>

class SubGraphOp: public ov::op::util::MultiSubGraphOp
{
public:
    // fields

     BWDCMP_RTTI_DECLARATION;

    // construction

    SubGraphOp(const SubGraphOp&);
    SubGraphOp(SubGraphOp&&);

    // methods

    OPENVINO_OP("SubGraphOp", "util", op::util::MultiSubGraphOp);
    virtual const std::shared_ptr<Model>& get_function() const;
    virtual void set_function(const std::shared_ptr<Model>& func);
    const std::vector<std::shared_ptr<InputDescription>>& get_input_descriptions() const;
    std::vector<std::shared_ptr<InputDescription>>& get_input_descriptions();
    const std::vector<std::shared_ptr<OutputDescription>>& get_output_descriptions() const;
    std::vector<std::shared_ptr<OutputDescription>>& get_output_descriptions();

    virtual void set_sliced_input(
        const std::shared_ptr<ov::op::v0::Parameter>& parameter,
        const Output<Node>& value,
        int64_t start,
        int64_t stride,
        int64_t part_size,
        int64_t end,
        int64_t axis
        );

    virtual void set_merged_input(
        const std::shared_ptr<ov::op::v0::Parameter>& body_parameter,
        const Output<Node>& initial_value,
        const Output<Node>& successive_value
        );

    virtual void set_invariant_input(
        const std::shared_ptr<ov::op::v0::Parameter>& body_parameter,
        const Output<Node>& value
        );

    virtual Output<Node> get_iter_value(
        const Output<Node>& body_value,
        int64_t iteration = -1
        );

    virtual Output<Node> get_concatenated_slices(
        const Output<Node>& value,
        int64_t start,
        int64_t stride,
        int64_t part_size,
        int64_t end,
        int64_t axis
        );

    SubGraphOp& operator = (const SubGraphOp&);
    SubGraphOp& operator = (SubGraphOp&&);
    int64_t get_num_iterations() const;
};

// direct descendants

class TensorIterator;
class Loop;

Inherited Members¶

public:
    // typedefs

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

    // fields

     BWDCMP_RTTI_DECLARATION;

    // 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_lower(const ov::HostTensorVector& output_values) const;
    virtual bool evaluate_upper(const ov::HostTensorVector& output_values) 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;
    const std::string& get_output_tensor_name(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;
    const std::string& get_input_tensor_name(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;
    virtual size_t get_version() const;
    virtual std::shared_ptr<Node> get_default_value() 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;
    OPENVINO_SUPPRESS_DEPRECATED_START void set_op_annotations(std::shared_ptr<ngraph::op::util::OpAnnotations> op_annotations);
    std::shared_ptr<ngraph::op::util::OpAnnotations> get_op_annotations() const;

    virtual OPENVINO_SUPPRESS_DEPRECATED_END 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;
    OPENVINO_OP("MultiSubGraphOp", "util");
    virtual const std::shared_ptr<Model>& get_function(int 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;
    MultiSubGraphOp& operator = (const MultiSubGraphOp&);
    MultiSubGraphOp& operator = (MultiSubGraphOp&&);

Detailed Documentation¶

Abstract base class for sub-graph based ops, i.e ops that have only one sub-graph.

Methods¶

const std::vector<std::shared_ptr<InputDescription>>& get_input_descriptions() const

Returns:

a reference to the input descriptions.

std::vector<std::shared_ptr<InputDescription>>& get_input_descriptions()

Returns:

a reference to the input descriptions. Can add input descriptions before validation.

const std::vector<std::shared_ptr<OutputDescription>>& get_output_descriptions() const

Returns:

a reference to the output descriptions.

std::vector<std::shared_ptr<OutputDescription>>& get_output_descriptions()

Returns:

a reference to the output descriptions. Can add output descriptions before validation.

virtual void set_sliced_input(
    const std::shared_ptr<ov::op::v0::Parameter>& parameter,
    const Output<Node>& value,
    int64_t start,
    int64_t stride,
    int64_t part_size,
    int64_t end,
    int64_t axis
    )

Indicate that a body parameter comes from slices of a value.

Parameters:

parameter	The parameter to receive the slices
value	The value to be sliced. This will be added as an input to SubGraphOp.
start	First index on axis of the slicing
stride	Stepping of the slice
part_size	Size of the slice on axis
end	The last index on axis of the slicing
axis	The axis to slice along

virtual void set_merged_input(
    const std::shared_ptr<ov::op::v0::Parameter>& body_parameter,
    const Output<Node>& initial_value,
    const Output<Node>& successive_value
    )

Indicates that a body parameter has an initial value in the first iteration and computed value thereafter.

Parameters:

body_parameter	The body parameter
initial_value	Value for the parameter in first iteration. This will be added as an input to Loop.
successive_value	Value for the parameter in successive iterations. The value is what is active in the most recent completed iteration.

virtual void set_invariant_input(
    const std::shared_ptr<ov::op::v0::Parameter>& body_parameter,
    const Output<Node>& value
    )

Indicates that a body parameter has an invariant value during iteration that may depend on values computed outside of the iteration.

Parameters:

body_parameter	The body parameter
value	The value supplied as an input to the block

virtual Output<Node> get_iter_value(
    const Output<Node>& body_value,
    int64_t iteration = -1
    )

Gets a value for a particular iteration point.

Parameters:

body_value	The value
iteration	The iteration that supplies the value. Negative values are from the last iteration. Default value -1 (the last iteration).

Returns:

The iterator value.

virtual Output<Node> get_concatenated_slices(
    const Output<Node>& value,
    int64_t start,
    int64_t stride,
    int64_t part_size,
    int64_t end,
    int64_t axis
    )

Concatenates slices from all iterations.

Parameters:

value	The value supplying slice values from each iteration.
start	First index on axis of the slicing
stride	Stepping of the slice
part_size	Size of the slice on axis
end	The last index on axis of the slicing
axis	The axis to slice along

Returns:

The concatenated slices.

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