code: def forward(self, x):
      x = self.conv1(x)
      x = self.norm1(x)
      x = self.relu1(x)
      x = self.deconv2(x)
      x = self.norm2(x)
      x = self.relu2(x)
      x = self.conv3(x)
      x = self.norm3(x)
      x = self.relu3(x)
      return x
  
imports: from torch import nn
label_desc: Use image node_id 2 for calling the DecoderBlockLinkNetInceptionV2 obj's underlying member method code with example usage: obj.forward(x) and returns: x