code: def __init__(self, *args, batch_first: bool = False, **kwargs):
      super().__init__(*args, **kwargs)
      self.batch_first = batch_first
  
file_path: pytorch-forecasting/pytorch_forecasting/models/nn/embeddings.py
imports: from typing import Dict, List, Tuple, Union
  import torch
  import torch.nn
  from pytorch_forecasting.utils import get_embedding_size
label_desc: Use image node_id 1 to create a new TimeDistributedEmbeddingBag object from inherited base classes: nn with example: obj = TimeDistributedEmbeddingBag()