code: def forward(self, x):
      h = self.init(x)
      h = self.res(h)
      h = self.final(h)
      for blk in self.attn:
          h = blk(h)
      return h[:, :, 0]
  
file_path: TTS/TTS/tts/layers/tortoise/classifier.py
imports: import torch
  import torch.nn
  from TTS.tts.layers.tortoise.arch_utils import AttentionBlock, Downsample, Upsample, normalization, zero_module
label_desc: Use image node_id 2 for calling the AudioMiniEncoder obj's underlying member method code with example usage: obj.forward(x) and returns: h