docstr: Apply the module to `x` given `emb` timestep embeddings.
docstr_tok: ["Apply","the","module","to","`","x","`","given","`","emb","`","timestep","embeddings","."]
code: def forward(self, x, emb):
      """
      Apply the module to `x` given `emb` timestep embeddings.
      """
  
imports: import math
  import random
  from abc import abstractmethod
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import autocast
  from TTS.tts.layers.tortoise.arch_utils import AttentionBlock, normalization
label_desc: Use image node_id 1 for calling the TimestepBlock obj's underlying member method code with example usage: obj.forward(x, emb) without return types