code: def test_forward_runs_with_larger_input(self):
      encoder = CnnEncoder(
          embedding_dim=7,
          num_filters=13,
          ngram_filter_sizes=(1, 2, 3, 4, 5),
          output_dim=30,
      )
      tensor = torch.rand(4, 8, 7)
      assert encoder(tensor, None).size() == (4, 30)
  
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 4 for calling the TestCnnEncoder obj's underlying member method code with example usage: obj.test_forward_runs_with_larger_input() without return types