code: def test_1d(self):
      a = torch.ones(1, 8, 10)
      g = GaussianFilter(1, 3, 3).to(torch.device("cpu:0"))
      expected = np.array(
          [
              [
                  [
                      0.5654129,
                      0.68915915,
                      0.79146194,
                      0.8631974,
                      0.8998163,
                      0.8998163,
                      0.8631973,
                      0.79146194,
                      0.6891592,
                      0.5654129,
                  ]
              ]
          ]
      )
      expected = np.tile(expected, (1, 8, 1))
      np.testing.assert_allclose(
          g(a).cpu().numpy(), expected, rtol=1e-5
      )
  
file_path: MONAI/tests/test_gaussian_filter.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.networks.layers import GaussianFilter
  from tests.utils import skip_if_quick
label_desc: Use image node_id 1 for calling the GaussianFilterTestCase obj's underlying member method code with example usage: obj.test_1d() without return types