code: def test_get_baseline(self):
      self.ig = gradient_maps.IntegratedGradients()
      result = self.ig.get_baseline(
          np.array([[[1, 1, 1, 1], [2, 3, 6, 7], [3, 4, 5, 6]]])
      )
      target = np.array([[[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]])
      np.testing.assert_almost_equal(result, target)
  
file_path: lit/lit_nlp/components/gradient_maps_test.py
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.components import gradient_maps
  from lit_nlp.lib import testing_utils
  import numpy
label_desc: Use image node_id 3 for calling the GradientMapsTest obj's underlying member method code with example usage: obj.test_get_baseline() without return types