ray/rllib/algorithms/maml/tests/test_maml.py

import unittest

import ray
import ray.rllib.algorithms.maml as maml
from ray.rllib.utils.test_utils import (
    check_compute_single_action,
    check_train_results,
    framework_iterator,
)


class TestMAML(unittest.TestCase):
    @classmethod
    def setUpClass(cls):
        ray.init()

    @classmethod
    def tearDownClass(cls):
        ray.shutdown()

    def test_maml_compilation(self):
        """Test whether MAML can be built with all frameworks."""
        config = maml.MAMLConfig().rollouts(num_rollout_workers=1, horizon=200)

        num_iterations = 1

        # Test for tf framework (torch not implemented yet).
        for fw in framework_iterator(config, frameworks=("tf", "torch")):
            for env in [
                "pendulum_mass.PendulumMassEnv",
                "cartpole_mass.CartPoleMassEnv",
            ]:
                if fw == "tf" and env.startswith("cartpole"):
                    continue
                print("env={}".format(env))
                env_ = "ray.rllib.examples.env.{}".format(env)
                trainer = config.build(env=env_)
                for i in range(num_iterations):
                    results = trainer.train()
                    check_train_results(results)
                    print(results)
                check_compute_single_action(trainer, include_prev_action_reward=True)
                trainer.stop()


if __name__ == "__main__":
    import pytest
    import sys

    sys.exit(pytest.main(["-v", __file__]))