code: def forward(self, x, emb):
      for layer in self:
          if isinstance(layer, TimestepBlock):
              x = layer(x, emb)
          else:
              x = layer(x)
      return x
  
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 TimestepEmbedSequential obj's underlying member method code with example usage: obj.forward(x, emb) and returns: x