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36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
from ray_on_aml.core import Ray_On_AML
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import yaml
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from ray.tune.tune import run_experiments
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from utils import callbacks
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import argparse
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--config', help='Path to yaml configuration file')
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args = parser.parse_args()
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ray_on_aml = Ray_On_AML()
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ray = ray_on_aml.getRay()
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if ray: # in the headnode
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ray.init(address="auto")
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print("Configuring run from file: ", args.config)
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experiment_config = None
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with open(args.config, "r") as file:
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experiment_config = yaml.safe_load(file)
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print(f'Config: {experiment_config}')
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# Set local_dir in each experiment configuration to ensure generated logs get picked up
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# by Azure ML
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for experiment in experiment_config.values():
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experiment["local_dir"] = "./logs"
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trials = run_experiments(
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experiment_config,
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callbacks=[callbacks.TrialCallback()],
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verbose=2
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)
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else:
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print("in worker node")
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