openvino.runtime.opset9.ctc_loss

openvino.runtime.opset9.ctc_loss(logits: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], logit_length: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], labels: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], label_length: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], blank_index: Optional[Union[openvino._pyopenvino.Node, int, float, numpy.ndarray]] = None, preprocess_collapse_repeated: bool = False, ctc_merge_repeated: bool = True, unique: bool = False, name: Optional[str] = None) → openvino._pyopenvino.Node

Return a node which performs CTCLoss.

Parameters

• logits – 3-D tensor of logits.

• logit_length – 1-D tensor of lengths for each object from a batch.

• labels – 2-D tensor of labels for which likelihood is estimated using logits.

• label_length – 1-D tensor of length for each label sequence.

• blank_index – Scalar used to mark a blank index.

• preprocess_collapse_repeated – Flag for preprocessing labels before loss calculation.

• ctc_merge_repeated – Flag for merging repeated characters in a potential alignment.

• unique – Flag to find unique elements in a target.

Returns

The new node which performs CTCLoss