code: def forward(self, x, time_emb):
      y = self.resblk(x, time_emb)
      return self.attn(y)
  
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 2 for calling the DiffusionLayer obj's underlying member method code with example usage: obj.forward(x, time_emb) and returns: self