mirror of
https://github.com/vale981/ray
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42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
"""Learning regression tests for RLlib (torch and tf).
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Runs Atari/PyBullet benchmarks for all major algorithms.
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"""
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import json
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import os
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from pathlib import Path
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from ray.rllib.utils.test_utils import run_learning_tests_from_yaml
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if __name__ == "__main__":
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--smoke-test",
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action="store_true",
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default=False,
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help="Finish quickly for training.")
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args = parser.parse_args()
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# Get path of this very script to look for yaml files.
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abs_yaml_path = Path(__file__).parent
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print("abs_yaml_path={}".format(abs_yaml_path))
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yaml_files = abs_yaml_path.rglob("*.yaml")
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yaml_files = sorted(
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map(lambda path: str(path.absolute()), yaml_files), reverse=True)
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# Run all tests in the found yaml files.
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results = run_learning_tests_from_yaml(
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yaml_files=yaml_files,
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smoke_test=args.smoke_test,
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)
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test_output_json = os.environ.get("TEST_OUTPUT_JSON",
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"/tmp/rllib_learning_test.json")
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with open(test_output_json, "wt") as f:
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json.dump(results, f)
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print("Ok.")
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