code: def test_get_gate_values_1d_input(self) -> None:
      dim = 3
      gstg = GaussianStochasticGates(dim).to(self.testing_device)
      input_tensor = torch.tensor(
          [
              [0.0, 0.1, 0.2],
              [0.3, 0.4, 0.5],
          ]
      ).to(self.testing_device)
  
      gstg(input_tensor)
      gate_values = gstg.get_gate_values()
  
      expected_gate_values = [0.5005, 0.5040, 0.4899]
      assertTensorAlmostEqual(
          self, gate_values, expected_gate_values, mode="max"
      )
  
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 10 for calling the TestGaussianStochasticGates obj's underlying member method code with example usage: obj.test_get_gate_values_1d_input() without return types