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https://github.com/vale981/ray
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64 lines
2 KiB
Python
64 lines
2 KiB
Python
import unittest
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import ray
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import ray.rllib.agents.a3c as a3c
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from ray.rllib.utils.test_utils import check_compute_single_action, \
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check_train_results, framework_iterator
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class TestA2C(unittest.TestCase):
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"""Sanity tests for A2C exec impl."""
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def setUp(self):
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ray.init(num_cpus=4)
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def tearDown(self):
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ray.shutdown()
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def test_a2c_compilation(self):
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"""Test whether an A2CTrainer can be built with both frameworks."""
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config = a3c.a2c.A2C_DEFAULT_CONFIG.copy()
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config["num_workers"] = 2
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config["num_envs_per_worker"] = 2
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num_iterations = 1
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# Test against all frameworks.
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for _ in framework_iterator(config, with_eager_tracing=True):
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for env in ["CartPole-v0", "Pendulum-v1", "PongDeterministic-v0"]:
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trainer = a3c.A2CTrainer(config=config, env=env)
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for i in range(num_iterations):
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results = trainer.train()
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check_train_results(results)
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print(results)
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check_compute_single_action(trainer)
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trainer.stop()
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def test_a2c_exec_impl(ray_start_regular):
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config = {"min_iter_time_s": 0}
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for _ in framework_iterator(config):
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trainer = a3c.A2CTrainer(env="CartPole-v0", config=config)
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results = trainer.train()
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check_train_results(results)
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print(results)
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check_compute_single_action(trainer)
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trainer.stop()
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def test_a2c_exec_impl_microbatch(ray_start_regular):
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config = {
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"min_iter_time_s": 0,
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"microbatch_size": 10,
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}
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for _ in framework_iterator(config):
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trainer = a3c.A2CTrainer(env="CartPole-v0", config=config)
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results = trainer.train()
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check_train_results(results)
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print(results)
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check_compute_single_action(trainer)
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trainer.stop()
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if __name__ == "__main__":
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import pytest
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import sys
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sys.exit(pytest.main(["-v", __file__]))
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