code: def forward(self, x):
      size = x.shape[-1] // self.factor
      res = self.res_block(x)
      res = F.interpolate(res, size=size)
      o = F.interpolate(x, size=size)
      for layer in self.main_block:
          o = F.leaky_relu(o, 0.2)
          o = layer(o)
      return o + res
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils import weight_norm
label_desc: Use image node_id 2 for calling the DBlock obj's underlying member method code with example usage: obj.forward(x) and returns: unknown