code: def test_stacked_self_attention_can_run_foward(self):
      # Correctness checks are elsewhere - this is just stacking
      # blocks which are already well tested, so we just check shapes.
      encoder = StackedSelfAttentionEncoder(
          input_dim=9,
          hidden_dim=12,
          projection_dim=9,
          feedforward_hidden_dim=5,
          num_layers=3,
          num_attention_heads=3,
      )
      inputs = torch.randn([3, 5, 9])
      encoder_output = encoder(inputs, None)
      assert list(encoder_output.size()) == [3, 5, 12]
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/seq2seq_encoders/stacked_self_attention_test.py
imports: from __future__ import absolute_import
  import torch
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.seq2seq_encoders import StackedSelfAttentionEncoder
label_desc: Use image node_id 2 for calling the TestStackedSelfAttention obj's underlying member method code with example usage: obj.test_stacked_self_attention_can_run_foward() without return types