wehub-resource-sync
16 lines
1.4 KiB
JSON
16 lines
1.4 KiB
JSON
{
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"_peak_memory": 2.83,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n142\t1.03GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1836\t0.72GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n178\t0.45GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n273\t0.11GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n56\t0.1GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n1874\t0.07GiB\tray::MemoryMonitorActor.run()\n163\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.126.251:9031 --host=0.0.0.\n233\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/log_m\n53\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=aph0_Ckc\n217\t0.02GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/raylet/raylet --raylet_socket_name=",
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"num_tasks": 10000,
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"perf_metrics": [
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{
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"perf_metric_name": "tasks_per_second",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 26.850911376377933
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}
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],
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"success": "1",
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"tasks_per_second": 26.850911376377933,
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"time": 672.4268372058868
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}
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