code: def forward(self, x, noise_scale):
      o = self.input_conv(x)
      o = F.leaky_relu(o, 0.2)
      o = self.encoding(o, noise_scale)
      shift, scale = torch.chunk(self.output_conv(o), 2, dim=1)
      return shift, scale
  
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 FiLM obj's underlying member method code with example usage: obj.forward(x, noise_scale) and returns: shift,  scale