code: def _test_non_randomness(self, device):
      # Noises should be the same in a batch
      x0 = torch.normal(
          0, 1, size=(1, 6), dtype=torch.float32, device=device
      )
      x = x0.repeat(2, 1)
      y = self.linear(x)
      torch.testing.assert_allclose(y[0], y[1], rtol=1e-4, atol=0)
  
file_path: pfrl/tests/nn_tests/test_noisy_linear.py
imports: import numpy
  import pytest
  import torch
  from pfrl.nn import noisy_linear
label_desc: Use image node_id 9 for calling the TestFactorizedNoisyLinear obj's underlying member method code with example usage: obj._test_non_randomness(device) without return types