code: def __call__(self, predicts, batch):
      loss = self.ctc_loss_func(predicts, batch)["loss"]
  
      if self.use_center_loss:
          center_loss = (
              self.center_loss_func(predicts, batch)["loss_center"]
              * self.center_loss_weight
          )
          loss = loss + center_loss
  
      if self.use_ace_loss:
          ace_loss = (
              self.ace_loss_func(predicts, batch)["loss_ace"]
              * self.ace_loss_weight
          )
          loss = loss + ace_loss
  
      return {"enhanced_ctc_loss": loss}
  
file_path: PaddleOCR/ppocr/losses/rec_enhanced_ctc_loss.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import nn
  from .ace_loss import ACELoss
  from .center_loss import CenterLoss
  from .rec_ctc_loss import CTCLoss
label_desc: Use image node_id 2 for calling the EnhancedCTCLoss obj's underlying member method code with example usage: obj.__call__(predicts, batch) and returns: dict