class ov::op::v6::CTCGreedyDecoderSeqLen

Overview

Operator performing CTCGreedyDecoder. More…

#include <ctc_greedy_decoder_seq_len.hpp>

class CTCGreedyDecoderSeqLen: public ov::op::Op
{
public:
    // construction

    CTCGreedyDecoderSeqLen();
    CTCGreedyDecoderSeqLen(, , , , );
    CTCGreedyDecoderSeqLen(, , , , , );

    // methods

    "CTCGreedyDecoderSeqLen""opset6"op::Op OPENVINO_OP(, , );
    virtual void validate_and_infer_types();
    virtual boolAttributeVisitor& visit_attributes();
    virtual std::shared_ptr<Node>const OutputVector& clone_with_new_inputs() const;
    bool get_merge_repeated() const;
    voidbool set_merge_repeated();
    const element::Type& get_classes_index_type() const;
    voidconst element::Type& set_classes_index_type();
    const element::Type& get_sequence_length_type() const;
    voidconst element::Type& set_sequence_length_type();
};

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 boolAttributeVisitor& visit_attributes();
    virtual const ov::op::AutoBroadcastSpec& get_autob() const;
    virtual bool has_evaluate() const;
    virtual boolconst ov::HostTensorVector&const ov::HostTensorVector& evaluate(, ) const;

    virtual boolconst ov::HostTensorVector&const ov::HostTensorVector&const EvaluationContext& evaluate(
        ,
        ,

        ) const;

    virtual boolov::TensorVector&const ov::TensorVector& evaluate(, ) const;

    virtual boolov::TensorVector&const ov::TensorVector&const ov::EvaluationContext& evaluate(
        ,
        ,

        ) const;

    virtual boolov::TensorVector& evaluate_lower() const;
    virtual boolov::TensorVector& evaluate_upper() const;
    virtual boolTensorLabelVector& evaluate_label() const;
    virtual boolOutputVector&const OutputVector& constant_fold(, );
    virtual OutputVector decompose_op() const;
    virtual const type_info_t& get_type_info() const = 0;
    const char \* get_type_name() const;
    voidconst NodeVector& set_arguments();
    voidconst OutputVector& set_arguments();
    voidsize_tconst Output<Node>& set_argument(, );
    voidsize_tconst element::Type&const PartialShape& set_output_type(, , );
    voidsize_t set_output_size();
    void invalidate_values();
    virtual void revalidate_and_infer_types();
    virtual std::string description() const;
    const std::string& get_name() const;
    voidconst std::string& set_friendly_name();
    const std::string& get_friendly_name() const;
    virtual bool is_dynamic() const;
    size_t get_instance_id() const;
    virtual std::ostream&std::ostream&uint32_t write_description(, ) const;
    const std::vector<std::shared_ptr<Node>>& get_control_dependencies() const;
    const std::vector<Node \*>& get_control_dependents() const;
    voidstd::shared_ptr<Node> add_control_dependency();
    voidstd::shared_ptr<Node> remove_control_dependency();
    void clear_control_dependencies();
    void clear_control_dependents();
    voidconst std::shared_ptr<const Node>& add_node_control_dependencies();
    voidconst std::shared_ptr<const Node>& add_node_control_dependents();
    voidstd::shared_ptr<Node> transfer_control_dependents();
    size_t get_output_size() const;
    const element::Type&size_t get_output_element_type() const;
    const element::Type& get_element_type() const;
    const Shape&size_t get_output_shape() const;
    const PartialShape&size_t get_output_partial_shape() 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&size_t get_output_tensor() const;
    descriptor::Tensor&size_t get_input_tensor() const;
    std::set<Input<Node>>size_t get_output_target_inputs() const;
    size_t get_input_size() const;
    const element::Type&size_t get_input_element_type() const;
    const Shape&size_t get_input_shape() const;
    const PartialShape&size_t get_input_partial_shape() const;
    Node \*size_t get_input_node_ptr() const;
    std::shared_ptr<Node>size_t get_input_node_shared_ptr() const;
    Output<Node>size_t get_input_source_output() const;
    virtual std::shared_ptr<Node>const OutputVector& clone_with_new_inputs() const = 0;
    std::shared_ptr<Node>const OutputVector& copy_with_new_inputs() const;

    std::shared_ptr<Node>const OutputVector&const std::vector<std::shared_ptr<Node>>& copy_with_new_inputs(
        ,

        ) const;

    boolstd::shared_ptr<const Node> has_same_type() const;
    RTMap& get_rt_info();
    const RTMap& get_rt_info() const;
    NodeVectorbool get_users() const;
    boolconst Node& operator < () 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>size_t input();
    Input<const Node>size_t input() const;
    Output<Node>size_t input_value() const;
    Output<Node>size_t output();
    Output<const Node>size_t output() const;

    virtual boolov::pass::pattern::Matcher \*const Output<Node>&const Output<Node>& match_value(
        ,
        ,

        );

    virtual boolov::pass::pattern::Matcher \*const Output<Node>& match_node(, );
    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

Operator performing CTCGreedyDecoder.

Construction

CTCGreedyDecoderSeqLen(, , , , )

Constructs a CTCGreedyDecoderSeqLen operation.

Parameters:

input	3-D tensor of logits on which greedy decoding is performed
seq_len	1-D tensor of sequence lengths
merge_repeated	Whether to merge repeated labels
classes_index_type	Specifies the output classes_index tensor type
sequence_length_type	Specifies the output sequence_length tensor type

CTCGreedyDecoderSeqLen(, , , , , )

Constructs a CTCGreedyDecoderSeqLen operation.

Parameters:

input	3-D tensor of logits on which greedy decoding is performed
seq_len	1-D tensor of sequence lengths
blank_index	Scalar or 1-D tensor with 1 element used to mark a blank index
merge_repeated	Whether to merge repeated labels
classes_index_type	Specifies the output classes_index tensor type
sequence_length_type	Specifies the output sequence_length tensor type

Methods

virtual void validate_and_infer_types()

Verifies that attributes and inputs are consistent and computes output shapes and element types. Must be implemented by concrete child classes so that it can be run any number of times.

Throws if the node is invalid.

bool get_merge_repeated() const

Get merge_repeated attribute.

Returns:

Current value of merge_repeated attribute

voidbool set_merge_repeated()

Set merge_repeated attribute.

Parameters:

merge_repeated

A new value for the attribute

const element::Type& get_classes_index_type() const

Get classes_index_type attribute.

Returns:

Current value of classes_index_type attribute

voidconst element::Type& set_classes_index_type()

Set classes_index_type attribute.

Parameters:

classes_index_type

Type of classes_index

const element::Type& get_sequence_length_type() const

Get sequence_length_type attribute.

Returns:

Current value of sequence_length_type attribute

voidconst element::Type& set_sequence_length_type()

Set sequence_length_type attribute.

Parameters:

sequence_length_type

Type of sequence length