code: def test_multi_mlp_layer_dims(self):
      output_dim = 16
      embedding_module = MLPEmbedding(
          embedding_dim=4,
          embeddings_weight=None,
          init_range=[-1, 1],
          mlp_layer_dims=[64, output_dim],
      )
      self.assertEqual(embedding_module.embedding_dim, output_dim)
  
imports: import unittest
  import torch
  from pytext.models.embeddings.mlp_embedding import MLPEmbedding
label_desc: Use image node_id 2 for calling the MLPEmbeddingTest obj's underlying member method code with example usage: obj.test_multi_mlp_layer_dims() without return types