code: def forward(self, x):
      identity = x
      output = []
      output.append(x)
      for layer in self.layers:
          x = layer(x)
          output.append(x)
      x = paddle.concat(output, axis=1)
      x = self.aggregation_conv(x)
      x = self.att(x)
      if self.identity:
          x += identity
      return x
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn.initializer import KaimingNormal, Constant
  from paddle.nn import Conv2D, BatchNorm2D, ReLU, AdaptiveAvgPool2D, MaxPool2D
  from paddle.regularizer import L2Decay
  from paddle import ParamAttr
label_desc: Use image node_id 2 for calling the HG_Block obj's underlying member method code with example usage: obj.forward(x) and returns: x