code: def test_lbm_without_grad(self, device: str):
      self.bias_direction = self.bias_direction.to(device)
      self.evaluation_embeddings = self.evaluation_embeddings.to(device)
      self.expected_bias_mitigated_embeddings = (
          self.expected_bias_mitigated_embeddings.to(device)
      )
  
      lbm = LinearBiasMitigator()
      test_bias_mitigated_embeddings = lbm(
          self.evaluation_embeddings, self.bias_direction
      )
      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 LinearBiasMitigatorTest obj's underlying member method code with example usage: obj.test_lbm_without_grad(device) without return types