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https://github.com/vale981/ray
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60d4d5e1aa
* Remove all __future__ imports from RLlib. * Remove (object) again from tf_run_builder.py::TFRunBuilder. * Fix 2xLINT warnings. * Fix broken appo_policy import (must be appo_tf_policy) * Remove future imports from all other ray files (not just RLlib). * Remove future imports from all other ray files (not just RLlib). * Remove future import blocks that contain `unicode_literals` as well. Revert appo_tf_policy.py to appo_policy.py (belongs to another PR). * Add two empty lines before Schedule class. * Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
#!/usr/bin/env python
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import argparse
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from ray.rllib import train
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from ray.rllib import rollout
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EXAMPLE_USAGE = """
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Example usage for training:
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rllib train --run DQN --env CartPole-v0
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Example usage for rollout:
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rllib rollout /trial_dir/checkpoint_1/checkpoint-1 --run DQN
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"""
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def cli():
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parser = argparse.ArgumentParser(
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description="Train or Run an RLlib Agent.",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog=EXAMPLE_USAGE)
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subcommand_group = parser.add_subparsers(
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help="Commands to train or run an RLlib agent.", dest="command")
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# see _SubParsersAction.add_parser in
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# https://github.com/python/cpython/blob/master/Lib/argparse.py
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train_parser = train.create_parser(
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lambda **kwargs: subcommand_group.add_parser("train", **kwargs))
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rollout_parser = rollout.create_parser(
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lambda **kwargs: subcommand_group.add_parser("rollout", **kwargs))
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options = parser.parse_args()
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if options.command == "train":
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train.run(options, train_parser)
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elif options.command == "rollout":
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rollout.run(options, rollout_parser)
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else:
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parser.print_help()
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