code: def forward(self, x):
      res = self.conv_res(x)
      x = self.net(x)
      if self.downsample is not None:
          x = self.downsample(x)
      x = (x + res) * (1 / math.sqrt(2))
      return x
  
imports: import math
  from functools import partial
  from math import log2
  from typing import List
  import torch
  import torch.nn.functional
  from einops import rearrange
  from kornia.filters import filter2d
  from nemo.collections.tts.parts.utils.helpers import mask_sequence_tensor
label_desc: Use image node_id 2 for calling the DiscriminatorBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x