code: def test_get_dimension_is_correct(self):
      encoder = IntraSentenceAttentionEncoder(
          input_dim=5, projection_dim=4, combination="1,2"
      )
      assert encoder.get_input_dim() == 5
      assert encoder.get_output_dim() == 9
      encoder = IntraSentenceAttentionEncoder(
          input_dim=5, combination="1+2"
      )
      assert encoder.get_input_dim() == 5
      assert encoder.get_output_dim() == 5
      params = Params(
          {
              "input_dim": 8,
              "projection_dim": 8,
              "num_attention_heads": 4,
              "similarity_function": {
                  "type": "multiheaded",
                  "num_heads": 4,
                  "tensor_1_dim": 8,
              },
              "combination": "1,2,1*2",
          }
      )
      encoder = IntraSentenceAttentionEncoder.from_params(params)
      assert encoder.get_input_dim() == 8
      assert encoder.get_output_dim() == 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 1 for calling the TestIntraSentenceAttentionEncoder obj's underlying member method code with example usage: obj.test_get_dimension_is_correct() without return types