code: def test_gd_get_params_method(self):
      optimizer = algorithms.GradientDescent(
          [
              layers.Input(2),
              layers.Sigmoid(3),
              layers.Sigmoid(1),
          ]
      )
  
      self.assertIn(
          "network",
          optimizer.get_params(with_network=True),
      )
      self.assertNotIn(
          "network",
          optimizer.get_params(with_network=False),
      )
  
file_path: neupy/tests/algorithms/gd/test_gd.py
imports: import pickle
  import numpy
  import tensorflow
  from neupy import algorithms, layers
  from neupy.algorithms.gd import objectives
  from neupy.exceptions import InvalidConnection
  from base import BaseTestCase
  from helpers import simple_classification
label_desc: Use image node_id 4 for calling the GradientDescentTestCase obj's underlying member method code with example usage: obj.test_gd_get_params_method() without return types