code: def output_size(self) -> Union[Dict[str, int], int]:
      if self.concat_output:
          return sum([s[1] for s in self.embedding_sizes.values()])
      else:
          return {
              name: s[1] for name, s in self.embedding_sizes.items()
          }
  
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 9 for calling the MultiEmbedding obj's underlying member method code with example usage: obj.output_size() and returns: sum, unknown