code: def test_normalization(self):
      self.start_tests(name="normalization")
  
      states = dict(
          type="float", shape=(3,), min_value=1.0, max_value=2.0
      )
      network = [
          dict(type="linear_normalization"),
          dict(type="exponential_normalization", decay=0.99),
          dict(type="instance_normalization"),
      ]
      # 'batch_normalization' used by all tests
      self.unittest(states=states, policy=network)
  
file_path: tensorforce/test/test_layers.py
imports: import unittest
  from test.unittest_base import UnittestBase
label_desc: Use image node_id 9 for calling the TestLayers obj's underlying member method code with example usage: obj.test_normalization() without return types