class_docstr: Interface for `EmbeddingCollection`.
code: def embedding_configs(
      self,
  ) -> List[EmbeddingConfig]:
      pass
  
imports: import abc
  from typing import Dict, List, Optional, Tuple, Union
  import torch
  import torch.nn
  from torchrec.modules.embedding_configs import DataType, EmbeddingBagConfig, EmbeddingConfig, pooling_type_to_str
  from torchrec.sparse.jagged_tensor import JaggedTensor, KeyedJaggedTensor, KeyedTensor
label_desc: Use image node_id 2 for calling the EmbeddingCollectionInterface obj's underlying member method code with example usage: obj.embedding_configs() without return types