code: def test_inlp(self, device: str):
      self.seed_embeddings1 = self.seed_embeddings1.to(device)
      self.seed_embeddings2 = self.seed_embeddings2.to(device)
      self.evaluation_embeddings = self.evaluation_embeddings.to(device)
      self.expected_bias_mitigated_embeddings = (
          self.expected_bias_mitigated_embeddings.to(device)
      )
  
      ibm = INLPBiasMitigator()
      test_bias_mitigated_embeddings = ibm(
          self.evaluation_embeddings,
          self.seed_embeddings1,
          self.seed_embeddings2,
      )
      assert allclose(
          self.expected_bias_mitigated_embeddings,
          test_bias_mitigated_embeddings,
          atol=1e-6,
      )
  
imports: import torch
  from torch import allclose
  import pytest
  import json
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase, multi_device
  from allennlp.fairness.bias_mitigators import LinearBiasMitigator, HardBiasMitigator, INLPBiasMitigator, OSCaRBiasMitigator
  from allennlp.fairness.bias_direction import TwoMeansBiasDirection
label_desc: Use image node_id 3 for calling the INLPBiasMitigatorTest obj's underlying member method code with example usage: obj.test_inlp(device) without return types