code: def test_bcstg_2d_input_with_n_gates_error(self) -> None:
      dim = 5
      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)
  
      with self.assertRaises(AssertionError):
          bcstg(input_tensor)
  
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 9 for calling the TestBinaryConcreteStochasticGates obj's underlying member method code with example usage: obj.test_bcstg_2d_input_with_n_gates_error() without return types