code: def forward(self, predicts, batch):
      label = batch[1].astype("int64")
      loss = self.loss_func(input=predicts, label=label)
      return {"loss": loss}
  
file_path: PaddleOCR/ppocr/losses/cls_loss.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from paddle import nn
label_desc: Use image node_id 2 for calling the ClsLoss obj's underlying member method code with example usage: obj.forward(predicts, batch) and returns: dict