Update test_ppo.py #382
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Update test_ppo.py #382
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You can use the tf.test.TestCase class instead of unittest.TestCase to run the test, which allows you to use the self.assert* methods provided by TensorFlow. You can use the tf.compat.v1.test.TestCase class instead of unittest.TestCase to run the test which allows you to use the self.assert* methods provided by TensorFlow. You can use the tf.compat.v1.Session() instead of tf.Session() to create a session, which allows you to run the test in a TensorFlow 1 environment. You can use tf.test.mock.patch to mock the environment for the test, which allows you to test the agent without having to run the environment. You can use tf.compat.v1.disable_eager_execution() to disable eager execution, which can help to optimize the performance of the test. You can use tf.compat.v1.ConfigProto(allow_soft_placement=True) to configure the session , which can help to optimize the performance of the test.
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You can use the tf.test.TestCase class instead of unittest.TestCase to run the test, which allows you to use the self.assert* methods provided by TensorFlow.
You can use the tf.compat.v1.test.TestCase class instead of unittest.TestCase to run the test which allows you to use the self.assert* methods provided by TensorFlow.
You can use the tf.compat.v1.Session() instead of tf.Session() to create a session, which allows you to run the test in a TensorFlow 1 environment.
You can use tf.test.mock.patch to mock the environment for the test, which allows you to test the agent without having to run the environment.
You can use tf.compat.v1.disable_eager_execution() to disable eager execution, which can help to optimize the performance of the test.
You can use tf.compat.v1.ConfigProto(allow_soft_placement=True) to configure the session , which can help to optimize the performance of the test.