class ngraph::op::v6::CTCGreedyDecoderSeqLen¶
Overview¶
Operator performing CTCGreedyDecoder. More…
#include <ctc_greedy_decoder_seq_len.hpp>
class CTCGreedyDecoderSeqLen: public ngraph::op::Op
{
public:
// construction
CTCGreedyDecoderSeqLen();
CTCGreedyDecoderSeqLen(
const Output<Node>& input,
const Output<Node>& seq_len,
const bool merge_repeated = true,
const element::Type& classes_index_type = element::i32,
const element::Type& sequence_length_type = element::i32
);
CTCGreedyDecoderSeqLen(
const Output<Node>& input,
const Output<Node>& seq_len,
const Output<Node>& blank_index,
const bool merge_repeated = true,
const element::Type& classes_index_type = element::i32,
const element::Type& sequence_length_type = element::i32
);
// methods
virtual void validate_and_infer_types();
virtual bool visit_attributes(AttributeVisitor& visitor);
virtual std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const;
bool get_merge_repeated() const;
const element::Type& get_classes_index_type() const;
void set_classes_index_type(const element::Type& classes_index_type);
const element::Type& get_sequence_length_type() const;
void set_sequence_length_type(const element::Type& sequence_length_type);
};
Inherited Members¶
public:
// typedefs
typedef DiscreteTypeInfo type_info_t;
typedef std::map<std::string, std::shared_ptr<Variant>> RTMap;
// fields
NGRAPH_DEPRECATED("The tensor name was deprecated. Use get_input_tensor(i).get_names() instead.") const std std::unordered_set<descriptor::Tensor*> liveness_new_list;
std::unordered_set<descriptor::Tensor*> liveness_free_list;
// methods
virtual void validate_and_infer_types();
void constructor_validate_and_infer_types();
virtual bool visit_attributes(AttributeVisitor&);
virtual const op::AutoBroadcastSpec& get_autob() const;
virtual bool has_evaluate() const;
virtual bool evaluate(
const HostTensorVector& output_values,
const HostTensorVector& input_values
) const;
virtual bool evaluate(
const HostTensorVector& output_values,
const HostTensorVector& input_values,
const EvaluationContext& evaluationContext
) const;
virtual bool evaluate_lower(const HostTensorVector& output_values) const;
virtual bool evaluate_upper(const HostTensorVector& output_values) 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;
NGRAPH_DEPRECATED("The tensor name was deprecated. Use get_output_tensor(i).get_names() instead.") const std 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;
const std::unordered_set<std::string>& get_provenance_tags() const;
void add_provenance_tag(const std::string& tag);
template <typename T>
void add_provenance_tags(T tag_set);
void add_provenance_tags_above(
const OutputVector& base,
const std::unordered_set<std::string>& tag_set
);
void remove_provenance_tag(const std::string& tag);
void add_provenance_group_member(const std::shared_ptr<Node>& node);
void remove_provenance_group_member(const std::shared_ptr<Node>& node);
void replace_provenance_group_member(
const std::shared_ptr<Node>& current_node,
const std::shared_ptr<Node>& replacement_node
);
const std::set<std::shared_ptr<Node>>& get_provenance_group_members() const;
std::shared_ptr<Node> add_provenance_group_members_above(const OutputVector& base);
void merge_provenance_tags_from(const std::shared_ptr<const Node>& source);
void transfer_provenance_tags(const std::shared_ptr<Node>& replacement);
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;
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 bool match_value(
pattern::Matcher* matcher,
const Output<Node>& pattern_value,
const Output<Node>& graph_value
);
virtual bool match_node(
pattern::Matcher* matcher,
const Output<Node>& graph_value
);
Detailed Documentation¶
Operator performing CTCGreedyDecoder.
Construction¶
CTCGreedyDecoderSeqLen(
const Output<Node>& input,
const Output<Node>& seq_len,
const bool merge_repeated = true,
const element::Type& classes_index_type = element::i32,
const element::Type& sequence_length_type = element::i32
)
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(
const Output<Node>& input,
const Output<Node>& seq_len,
const Output<Node>& blank_index,
const bool merge_repeated = true,
const element::Type& classes_index_type = element::i32,
const element::Type& sequence_length_type = element::i32
)
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
const element::Type& get_classes_index_type() const
Get classes_index_type attribute.
Returns:
Current value of classes_index_type attribute
void set_classes_index_type(const element::Type& 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
void set_sequence_length_type(const element::Type& sequence_length_type)
Set sequence_length_type attribute.
Parameters:
sequence_length_type |
Type of sequence length |