class_docstr: Visual to Semantic adaptation module
code: def forward(self, visual):
      # Feature enhancement
      visual = visual.squeeze(2).transpose(
          [0, 2, 1]
      )  # batch, width, channel
      channel_att = self.channel_inter(visual)  # batch, width, channel
      channel_att = channel_att.transpose(
          [0, 2, 1]
      )  # batch, channel, width
      channel_bn = self.channel_bn(channel_att)  # batch, channel, width
      channel_att = self.channel_act(
          channel_bn
      )  # batch, channel, width
  
      # size alignment
      channel_output = channel_att.unsqueeze(
          -2
      )  # batch, width, channel
  
      if self.return_mask:
          return channel_output, channel_att
      return channel_output
  
file_path: PaddleOCR/ppocr/modeling/necks/rf_adaptor.py
imports: import paddle
  import paddle.nn
  from paddle.nn.initializer import TruncatedNormal, Constant, Normal, KaimingNormal
label_desc: Use image node_id 2 for calling the V2SAdaptor obj's underlying member method code with example usage: obj.forward(visual) and returns: channel_output, channel_output,  channel_att