code: def forward(self, x):
      for e in self.encoder:
          x = e(x)
      return x.permute(0, 2, 1)
  
imports: import functools
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers import GPT2Config, GPT2PreTrainedModel, LogitsProcessorList
  from transformers.modeling_outputs import CausalLMOutputWithCrossAttentions
  from TTS.tts.layers.tortoise.arch_utils import AttentionBlock, TypicalLogitsWarper
label_desc: Use image node_id 2 for calling the MelEncoder obj's underlying member method code with example usage: obj.forward(x) and returns: x