code: def forward(self, x, targets=None):
      predicts = self.linear(x)
  
      if not self.training:
          predicts = F.softmax(predicts, axis=2)
  
      return predicts
  
file_path: PaddleOCR/ppocr/modeling/heads/rec_pren_head.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from paddle import nn
  from paddle.nn import functional
label_desc: Use image node_id 2 for calling the PRENHead obj's underlying member method code with example usage: obj.forward(x, targets) and returns: predicts