code: def forward(self, visual_feature):
      b, c, h, w = visual_feature.shape
      visual_feature = visual_feature.reshape([b, c, h * w]).transpose(
          [0, 2, 1]
      )
      visual_feature_num = self.Wv_fusion(
          visual_feature
      )  # batch * 26 * 512
      b, n, c = visual_feature_num.shape
      # using visual feature directly calculate the text length
      visual_feature_num = visual_feature_num.reshape([b, n * c])
      prediction_visual = self.Prediction_visual(visual_feature_num)
  
      return prediction_visual
  
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 2 for calling the CNTHead obj's underlying member method code with example usage: obj.forward(visual_feature) and returns: prediction_visual