class_docstr: emotion keras solver 
class_docstr_tok: ["emotion","keras","solver"]
docstr: keras losses  
docstr_tok: ["keras","losses"]
code: def get_loss(self):
      """keras losses"""
      return tf.keras.losses.CategoricalCrossentropy(
          from_logits=True,
          label_smoothing=self._label_smoothing,
          reduction=losses_utils.ReductionV2.AUTO,
      )
  
imports: import librosa
  from absl import logging
  import delta.compat
  from tensorflow.keras import backend
  from tensorflow.python.keras.utils import losses_utils
  from delta import utils
  from delta.utils.solver.estimator_solver import EstimatorSolver
  from delta.utils.solver.utils.callbacks import ClassReportCallBack
  from delta.utils.solver.asr_solver import AsrSolver
  from delta.utils.register import registers
label_desc: Use image node_id 5 for calling the EmoKerasSolver obj's underlying member method code with example usage: obj.get_loss() and returns: tf