code: def test_gates_values_matching_dim_when_eval(self) -> None:
      dim = 3
      bcstg = BinaryConcreteStochasticGates(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)
  
      bcstg.train(False)
      gated_input, reg = bcstg(input_tensor)
      assert gated_input.shape == input_tensor.shape
  
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 6 for calling the TestBinaryConcreteStochasticGates obj's underlying member method code with example usage: obj.test_gates_values_matching_dim_when_eval() without return types