code: def __repr__(self):
      return (
          f"VocabEmbedding(num_embeddings={self.num_embeddings}, "
          f"embedding_dim={self.embedding_dim})"
      )
  
file_path: colossalai/examples/tutorial/sequence_parallel/model/layers/embedding.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.nn.init
label_desc: Use image node_id 3 for calling the VocabEmbedding obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str