code: def test_bcstg_1d_input_with_reg_reduction(self) -> None:
      dim = 3
      mean_bcstg = BinaryConcreteStochasticGates(
          dim, reg_reduction="mean"
      ).to(self.testing_device)
      none_bcstg = BinaryConcreteStochasticGates(
          dim, reg_reduction="none"
      ).to(self.testing_device)
      input_tensor = torch.tensor(
          [
              [0.0, 0.1, 0.2],
              [0.3, 0.4, 0.5],
          ]
      ).to(self.testing_device)
  
      mean_gated_input, mean_reg = mean_bcstg(input_tensor)
      none_gated_input, none_reg = none_bcstg(input_tensor)
      expected_mean_reg = 0.8316
      expected_none_reg = torch.tensor([0.8321, 0.8310, 0.8325])
  
      assertTensorAlmostEqual(self, mean_reg, expected_mean_reg)
      assertTensorAlmostEqual(self, none_reg, expected_none_reg)
  
imports: import unittest
  import torch
  from captum.module.binary_concrete_stochastic_gates import BinaryConcreteStochasticGates
  from parameterized import parameterized_class
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
label_desc: Use image node_id 3 for calling the TestBinaryConcreteStochasticGates obj's underlying member method code with example usage: obj.test_bcstg_1d_input_with_reg_reduction() without return types