code: def _test_calls(self, device):
      x_data = torch.arange(
          12, device=device, dtype=torch.float32
      ).reshape((2, 6))
      x = torch.as_tensor(x_data, device=device)
      self.linear(x)
      self.linear(x_data + 1)
  
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 2 for calling the TestFactorizedNoisyLinear obj's underlying member method code with example usage: obj._test_calls(device) without return types