code: def test_encoder(self):
      encoder = BertPooler("bert-base-uncased")
      assert encoder.get_input_dim() == encoder.get_output_dim()
      embedding = torch.rand(8, 24, encoder.get_input_dim())
  
      pooled1 = encoder(embedding)
      assert pooled1.size() == (8, encoder.get_input_dim())
  
      embedding[:, 1:, :] = 0
      pooled2 = encoder(embedding)
      numpy.testing.assert_array_almost_equal(
          pooled1.detach().numpy(), pooled2.detach().numpy()
      )
  
imports: import numpy
  import torch
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.seq2vec_encoders import BertPooler
label_desc: Use image node_id 1 for calling the TestBertPooler obj's underlying member method code with example usage: obj.test_encoder() without return types