openvino.runtime.opset9.ctc_loss#

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