Class ov::frontend::tensorflow::GraphIterator#
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class GraphIterator : private ov::RuntimeAttribute#
Abstract representation for an input model graph that gives nodes in topologically sorted order.
Public Functions
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virtual size_t size() const = 0#
Get a number of operation nodes in the graph.
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virtual void reset() = 0#
Set iterator to the start position.
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virtual void next() = 0#
Move to the next node in the graph.
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virtual bool is_end() const = 0#
Returns true if iterator goes out of the range of available nodes.
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virtual std::shared_ptr<DecoderBase> get_decoder() const = 0#
Return a pointer to a decoder of the current node.
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virtual ~GraphIterator() = default#
Destructor.
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virtual std::shared_ptr<GraphIterator> get_body_graph_iterator(const std::string &func_name) const = 0#
Checks if the main model graph contains a function of the requested name in the library Returns GraphIterator to this function and nullptr, if it does not exist.
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virtual std::vector<std::string> get_input_names() const = 0#
Returns a vector of input names in the original order.
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virtual std::vector<std::string> get_output_names() const = 0#
Returns a vector of output names in the original order.
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inline virtual std::map<std::string, std::string> get_input_names_map() const#
Returns a map from internal tensor name to (user-defined) external name for inputs.
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inline virtual std::map<std::string, std::string> get_output_names_map() const#
Returns a map from internal tensor name to (user-defined) external name for outputs.
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virtual size_t size() const = 0#