code: def __init__(
      self, embed_size=512, encode_length=26, out_channels=38, **kwargs
  ):
      super(CNTHead, self).__init__()
  
      self.out_channels = out_channels
  
      self.Wv_fusion = nn.Linear(
          embed_size, embed_size, bias_attr=False
      )
      self.Prediction_visual = nn.Linear(
          encode_length * embed_size, self.out_channels
      )
  
file_path: PaddleOCR/ppocr/modeling/heads/rec_rfl_head.py
imports: import paddle
  import paddle.nn
  from paddle.nn.initializer import TruncatedNormal, Constant, Normal, KaimingNormal
  from .rec_att_head import AttentionLSTM
label_desc: Use image node_id 1 to create a new CNTHead object from inherited base classes: nn with example: obj = CNTHead(embed_size, encode_length, out_channels)