code: def test_compose_preserves(self):
      _, traced = get_bert_model()
      composition = compose(
          ChangeTrueDivToMulByInverse(), MergeLinears()
      )
      self.assertTrue(composition.preserves_computation)
  
      composition = compose(
          DummyTransformation(),
          ChangeTrueDivToMulByInverse(),
          MergeLinears(),
      )
      self.assertFalse(composition.preserves_computation)
  
imports: import operator
  import unittest
  import torch
  from parameterized import parameterized
  from transformers import AutoModel, AutoModelForImageClassification, AutoTokenizer, BertModel
  from transformers.models.bert.modeling_bert import BertSelfAttention
  from transformers.utils.fx import symbolic_trace
  from optimum.fx.optimization import ChangeTrueDivToMulByInverse, FuseBatchNorm1dInLinear, FuseBatchNorm2dInConv2d, FuseBiasInLinear, MergeLinears, ReversibleTransformation, Transformation, compose
  from optimum.fx.utils import are_fx_features_available
label_desc: Use image node_id 8 for calling the TransformationTester obj's underlying member method code with example usage: obj.test_compose_preserves() without return types