code: def forward(self, x):
      encoding_projection = self.encoding_project(x)
      encoding_feat = self.encoding(encoding_projection).mean(axis=1)
      batch_size, channels, _, _ = paddle.shape(x)
      gamma = self.fc(encoding_feat)
      y = gamma.reshape([batch_size, channels, 1, 1])
      output = F.relu(x + x * y)
      return encoding_feat, output
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the EncModule obj's underlying member method code with example usage: obj.forward(x) and returns: encoding_feat,  output