code: def forward(self, inputs):
      outputs = []
  
      conv, pool = self.conv_block_0(inputs["image"])
      conv, pool = self.conv_block_1(pool)
      conv, pool = self.conv_block_2(pool)
      conv, pool = self.conv_block_3(pool)
      outputs.append(conv)
  
      conv, pool = self.conv_block_4(pool)
      out = self.fc6(pool)
      out = F.relu(out)
      out = self.fc7(out)
      out = F.relu(out)
      outputs.append(out)
  
      if not self.extra_block_filters:
          return outputs
  
      # extra block
      for extra_conv in self.extra_convs:
          out = extra_conv(out)
          outputs.append(out)
  
      for i, n in enumerate(self.normalizations):
          if n != -1:
              outputs[i] = self.norms[i](outputs[i])
  
      return outputs
  
imports: from __future__ import division
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from paddle.nn import Conv2D, MaxPool2D
  from ppdet.core.workspace import register, serializable
  from ..shape_spec import ShapeSpec
label_desc: Use image node_id 2 for calling the VGG obj's underlying member method code with example usage: obj.forward(inputs) and returns: outputs, outputs