mirror of
https://github.com/vale981/ray
synced 2025-03-06 10:31:39 -05:00
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
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import sys
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import argparse
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import numpy as np
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import ray.datasets.imagenet
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import ray
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import ray.services as services
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import ray.worker as worker
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import ray.arrays.remote as ra
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import ray.arrays.distributed as da
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import functions
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parser = argparse.ArgumentParser(description="Parse addresses for the worker to connect to.")
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parser.add_argument("--scheduler-address", default="127.0.0.1:10001", type=str, help="the scheduler's address")
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parser.add_argument("--objstore-address", default="127.0.0.1:20001", type=str, help="the objstore's address")
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parser.add_argument("--worker-address", default="127.0.0.1:40001", type=str, help="the worker's address")
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if __name__ == "__main__":
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args = parser.parse_args()
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worker.connect(args.scheduler_address, args.objstore_address, args.worker_address)
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ray.register_module(ray.datasets.imagenet)
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ray.register_module(functions)
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ray.register_module(ra)
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ray.register_module(ra.random)
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ray.register_module(ra.linalg)
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ray.register_module(da)
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ray.register_module(da.random)
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ray.register_module(da.linalg)
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worker.main_loop()
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