code: def forward(self, x, mask, conditioning=0):
      x = self.to_embed(x)
      x = x + conditioning
  
      x = x * mask
      for block in self.mixer_blocks:
          x, lens = block(x, mask)
  
      x = self.norm(x)
  
      return x, mask
  
imports: import math
  import torch
  from torch import nn
  from nemo.collections.tts.modules.submodules import ConvNorm
  from nemo.collections.tts.modules.transformer import PositionalEmbedding
label_desc: Use image node_id 2 for calling the MixerTTSModule obj's underlying member method code with example usage: obj.forward(x, mask, conditioning) and returns: x,  mask