code: def test_forward_works_with_simple_attention(self):
      # We're not going to check the output values here, as that's complicated; we'll just make
      # sure the code runs and the shapes are correct.
      encoder = IntraSentenceAttentionEncoder(input_dim=2)
      input_tensor = torch.from_numpy(numpy.random.rand(4, 3, 2))
      encoder_output = encoder(input_tensor, None)
      assert list(encoder_output.size()) == [4, 3, 4]
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/seq2seq_encoders/intra_sentence_attention_test.py
imports: from __future__ import with_statement
  from __future__ import absolute_import
  import numpy
  import pytest
  import torch
  from allennlp.common import Params
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.seq2seq_encoders import IntraSentenceAttentionEncoder
  from allennlp.modules.similarity_functions import MultiHeadedSimilarity
label_desc: Use image node_id 3 for calling the TestIntraSentenceAttentionEncoder obj's underlying member method code with example usage: obj.test_forward_works_with_simple_attention() without return types