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https://github.com/vale981/ray
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8804758409
* Add XGBoost release tests * Add more xgboost release tests * Use failure state manager * Add release test documentation * Fix wording * Automate fault tolerance tests
33 lines
749 B
Python
33 lines
749 B
Python
"""Moderate cluster training
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This training run will start 32 workers on 32 nodes (including head node).
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Test owner: krfricke
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Acceptance criteria: Should run through and report final results.
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"""
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import ray
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from xgboost_ray import RayParams
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from _train import train_ray
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if __name__ == "__main__":
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ray.init(address="auto")
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ray_params = RayParams(
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elastic_training=False,
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max_actor_restarts=2,
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num_actors=32,
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cpus_per_actor=4,
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gpus_per_actor=0)
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train_ray(
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path="/data/classification.parquet",
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num_workers=32,
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num_boost_rounds=100,
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num_files=128,
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regression=False,
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use_gpu=False,
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ray_params=ray_params,
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xgboost_params=None,
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)
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