code: def test_none_mlp_layer_dims(self):
      num_embeddings = 5
      embedding_dim = 4
      embedding_module = WordEmbedding(
          num_embeddings=num_embeddings,
          embedding_dim=embedding_dim,
          embeddings_weight=None,
          init_range=[-1, 1],
          unk_token_idx=4,
          mlp_layer_dims=None,
      )
      self.assertEqual(embedding_module.embedding_dim, embedding_dim)
  
imports: import unittest
  import torch
  from pytext.models.embeddings.word_embedding import WordEmbedding
label_desc: Use image node_id 2 for calling the WordEmbeddingTest obj's underlying member method code with example usage: obj.test_none_mlp_layer_dims() without return types