code: def test_get_ponderated_gradients(random_data, convolutional_model):
      images, _ = random_data
      gradients = GradientsInputs.compute_gradients(
          images, convolutional_model, 0
      )
  
      assert gradients.shape == images.shape
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_get_ponderated_gradients(random_data, convolutional_model) without return types