class_docstr: emotion keras solver 
class_docstr_tok: ["emotion","keras","solver"]
code: def __init__(self, config):
      super().__init__(config)
      self.batch_input_shape = None
      self._label_smoothing = config["solver"]["optimizer"][
          "label_smoothing"
      ]
  
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 1 to create a new EmoKerasSolver object from inherited base classes: AsrSolver with example: obj = EmoKerasSolver(config)