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;
// fields
BWDCMP_RTTI_DECLARATION;
// construction
MultiSubGraphOp(const MultiSubGraphOp&);
MultiSubGraphOp(MultiSubGraphOp&&);
// methods
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;
bool get_transformations_allowed() const;
MultiSubGraphOp& operator = (const MultiSubGraphOp&);
MultiSubGraphOp& operator = (MultiSubGraphOp&&);
};
// direct descendants
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_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;
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(int 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