code: def test_get_dimension_is_correct(self):
      encoder = CnnEncoder(
          embedding_dim=5, num_filters=4, ngram_filter_sizes=(3, 5)
      )
      assert encoder.get_output_dim() == 8
      assert encoder.get_input_dim() == 5
      encoder = CnnEncoder(
          embedding_dim=5,
          num_filters=4,
          ngram_filter_sizes=(3, 5),
          output_dim=7,
      )
      assert encoder.get_output_dim() == 7
      assert encoder.get_input_dim() == 5
  
file_path: allennlp/tests/modules/seq2vec_encoders/cnn_encoder_test.py
imports: import numpy
  from numpy.testing import assert_almost_equal
  import torch
  from allennlp.common import Params
  from allennlp.modules.seq2vec_encoders import CnnEncoder
  from allennlp.nn import InitializerApplicator, Initializer
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 1 for calling the TestCnnEncoder obj's underlying member method code with example usage: obj.test_get_dimension_is_correct() without return types