code: def __init__(self, *args, batch_first: bool = False, **kwargs):
      super().__init__(*args, **kwargs)
      self.batch_first = batch_first
  
imports: from typing import Dict, List, Optional, Tuple, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from darts.logging import get_logger
  from darts.utils.torch import MonteCarloDropout
label_desc: Use image node_id 1 to create a new _TimeDistributedEmbeddingBag object from inherited base classes: nn with example: obj = _TimeDistributedEmbeddingBag()