code: def get_dummy_phonemes(batch_size, device):
      """
      Creates a dummy phoneme sequence
  
      Arguments
      ---------
      batch_size: int
          the batch size
      device: str
          the target device
  
      Returns
      -------
      result: torch.Tensor
      """
      return torch.tensor([0], device=device).expand(batch_size, 1)
  
imports: from speechbrain.lobes.models.transformer.Transformer import TransformerInterface, get_lookahead_mask, get_key_padding_mask
  import torch
  from torch import nn
  from speechbrain.nnet.linear import Linear
  from speechbrain.nnet import normalization
label_desc: Use image node_id 3 for calling a global function with example usage: get_dummy_phonemes(batch_size, device) and returns: torch