code: def test_from_pretrained(self) -> None:
      mu = torch.tensor([0.1, 0.2, 0.3, 0.4])
      kwargs = {
          "mask": torch.tensor([0, 1, 1, 0, 2, 3]),
          "reg_weight": 0.1,
          "std": 0.01,
      }
      stg = GaussianStochasticGates._from_pretrained(mu, **kwargs)
  
      for key, expected_val in kwargs.items():
          val = getattr(stg, key)
          if isinstance(expected_val, torch.Tensor):
              assertTensorAlmostEqual(
                  self, val, expected_val, mode="max"
              )
          else:
              assert val == expected_val
  
imports: import unittest
  import torch
  from captum.module.gaussian_stochastic_gates import GaussianStochasticGates
  from parameterized import parameterized_class
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
label_desc: Use image node_id 19 for calling the TestGaussianStochasticGates obj's underlying member method code with example usage: obj.test_from_pretrained() without return types