code: def forward(self, x):
      extra = 11
      x = nn.functional.interpolate(x, (x.shape[2] * 2, x.shape[3] * 2))
      x = nn.functional.pad(x, (extra, extra, extra, extra))
  
      for layer in [
          self.conv1,
          self.conv2,
          self.conv3,
          self.conv4,
          self.conv5,
          self.conv6,
          self.conv7,
          self.conv8,
      ]:
          x = layer(x)
          x = nn.functional.leaky_relu(x, 0.1)
  
      return x
  
file_path: stable-diffusion-webui/modules/sd_vae_approx.py
imports: import os
  import torch
  from torch import nn
  from modules import devices, paths, shared
label_desc: Use image node_id 2 for calling the VAEApprox obj's underlying member method code with example usage: obj.forward(x) and returns: x