mirror of
https://github.com/wassname/ray.git
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Richard Liaw
76 lines
2.2 KiB
Python
Executable File
76 lines
2.2 KiB
Python
Executable File
#!/usr/bin/env python
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import argparse
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import json
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import os
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import random
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import numpy as np
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import ray
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from ray.tune import Trainable, run, Experiment, sample_from
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from ray.tune.schedulers import HyperBandScheduler
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class MyTrainableClass(Trainable):
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"""Example agent whose learning curve is a random sigmoid.
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The dummy hyperparameters "width" and "height" determine the slope and
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maximum reward value reached.
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"""
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def _setup(self, config):
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self.timestep = 0
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def _train(self):
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self.timestep += 1
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v = np.tanh(float(self.timestep) / self.config.get("width", 1))
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v *= self.config.get("height", 1)
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# Here we use `episode_reward_mean`, but you can also report other
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# objectives such as loss or accuracy.
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return {"episode_reward_mean": v}
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def _save(self, checkpoint_dir):
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path = os.path.join(checkpoint_dir, "checkpoint")
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with open(path, "w") as f:
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f.write(json.dumps({"timestep": self.timestep}))
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return path
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def _restore(self, checkpoint_path):
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with open(checkpoint_path) as f:
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self.timestep = json.loads(f.read())["timestep"]
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--smoke-test", action="store_true", help="Finish quickly for testing")
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args, _ = parser.parse_known_args()
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ray.init()
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# Hyperband early stopping, configured with `episode_reward_mean` as the
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# objective and `training_iteration` as the time unit,
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# which is automatically filled by Tune.
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hyperband = HyperBandScheduler(
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time_attr="training_iteration",
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metric="episode_reward_mean",
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mode="max",
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max_t=100)
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exp = Experiment(
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name="hyperband_test",
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run=MyTrainableClass,
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num_samples=20,
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stop={"training_iteration": 1 if args.smoke_test else 99999},
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config={
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"width": sample_from(lambda spec: 10 + int(90 * random.random())),
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"height": sample_from(lambda spec: int(100 * random.random()))
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})
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run(exp, scheduler=hyperband)
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