class_docstr: cross entropy loss for classfication and sequence classfication 
code: def __init__(self, config):
      super().__init__(config)
      self.smoothing = self.config["solver"]["optimizer"][
          "label_smoothing"
      ]
  
imports: import delta.compat
  from delta.utils.loss.base_loss import Loss
  from delta.utils.loss.loss_utils import cross_entropy
  from delta.utils.loss.loss_utils import mask_sequence_loss
  from delta.utils.loss.loss_utils import ctc_lambda_loss
  from delta.utils.loss.loss_utils import crf_log_likelihood
  from delta.utils.loss.loss_utils import focal_loss
  from delta.utils.register import registers
label_desc: Use image node_id 1 to create a new CrossEntropyLoss object from inherited base classes: Loss with example: obj = CrossEntropyLoss(config)