code: def _make_example(uttids, feats, ilens, targets, olens):
      features = {
          "uttids": uttids,
          "inputs": tf.expand_dims(feats, axis=-1)
          if not isinstance(feats, np.ndarray)
          else np.expand_dims(feats, axis=-1),
          "input_length": ilens,
          "targets": targets,
          "target_length": olens,
      }
      labels = {
          "ctc": tf.ones(tf.shape(feats)[0])
          if not isinstance(feats, np.ndarray)
          else np.ones(feats.shape[0])
      }  # dummy data for dummy loss function
      return features, labels
  
imports: import numpy
  import delta.compat
  from absl import logging
  from delta import utils
  from delta.data.utils import espnet_utils
  from delta.utils.register import registers
  from delta.data.task.base_speech_task import SpeechTask
label_desc: Use image node_id 1 for calling a global function with example usage: _make_example(uttids, feats, ilens, targets, olens) and returns: features,  labels