code: def test_tf_optimizer(self):
      self.start_tests(name="tf-optimizer")
  
      self.unittest(optimizer=dict(type="adam", learning_rate=1e-3))
  
      self.unittest(
          optimizer=dict(
              type="adam",
              learning_rate=1e-3,
              gradient_norm_clipping=1.0,
          )
      )
  
      try:
          import tensorflow_addons as tfa
  
          self.unittest(
              optimizer=dict(
                  type="tf_optimizer",
                  optimizer="radam",
                  learning_rate=1e-3,
                  decoupled_weight_decay=0.01,
                  lookahead=True,
                  moving_average=True,
              )
          )
  
      except ModuleNotFoundError:
          pass
      except TypeError:
          # TODO: temporary for version 0.11.1
          pass
  
file_path: tensorforce/test/test_optimizers.py
imports: import unittest
  from test.unittest_base import UnittestBase
label_desc: Use image node_id 6 for calling the TestOptimizers obj's underlying member method code with example usage: obj.test_tf_optimizer() without return types