code: def forward(self, x):
      return super().forward(x.float()).type(x.dtype)
  
imports: import functools
  import math
  import os
  import fsspec
  import torch
  import torch.nn
  import torch.nn.functional
  import torchaudio
  from transformers import LogitsWarper
  from TTS.tts.layers.tortoise.xtransformers import ContinuousTransformerWrapper, RelativePositionBias
label_desc: Use image node_id 1 for calling the GroupNorm32 obj's underlying member method code with example usage: obj.forward(x) and returns: super