code: def forward(self, ref):
      r = torch.randn(ref.shape[0], self.channels, device=ref.device)
      y = self.layers(r)
      return y
  
file_path: TTS/TTS/tts/layers/tortoise/random_latent_generator.py
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the RandomLatentConverter obj's underlying member method code with example usage: obj.forward(ref) and returns: y