code: def test_forward_works_with_multi_headed_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.
      similarity = MultiHeadedSimilarity(3, 24)
      encoder = IntraSentenceAttentionEncoder(
          input_dim=24,
          projection_dim=24,
          similarity_function=similarity,
          num_attention_heads=3,
          combination="1+2",
      )
      input_tensor = torch.from_numpy(
          numpy.random.rand(4, 6, 24)
      ).float()
      encoder_output = encoder(input_tensor, None)
      assert list(encoder_output.size()) == [4, 6, 24]
  
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 4 for calling the TestIntraSentenceAttentionEncoder obj's underlying member method code with example usage: obj.test_forward_works_with_multi_headed_attention() without return types