code: def __init__(self, channels):
      super().__init__()
      self.layers = nn.Sequential(
          *[
              EqualLinear(channels, channels, lr_mul=0.1)
              for _ in range(5)
          ],
          nn.Linear(channels, channels),
      )
      self.channels = channels
  
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 1 to create a new RandomLatentConverter object from inherited base classes: nn with example: obj = RandomLatentConverter(channels)