2021-06-11 02:03:04 -07:00
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- name: dask_xgboost_test
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2021-10-05 09:17:33 -07:00
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owner:
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mail: "antoni@anyscale.com"
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slack: "@team_ml"
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2021-06-11 02:03:04 -07:00
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cluster:
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app_config: dask_xgboost_app_config.yaml
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compute_template: compute_tpl.yaml
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run:
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2021-08-31 17:07:47 +02:00
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use_connect: True
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autosuspend_mins: 10
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2021-09-14 17:27:56 +02:00
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timeout: 1200
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2021-06-11 02:03:04 -07:00
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script: python workloads/dask_xgboost_test.py
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2021-10-05 09:17:33 -07:00
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args:
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[
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"--num-actors 4",
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"--cpus-per-actor 4",
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"--num-actors-inference 16",
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"--cpus-per-actor-inference 1",
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]
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2021-06-11 02:03:04 -07:00
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- name: modin_xgboost_test
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2021-10-05 09:17:33 -07:00
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owner:
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mail: "antoni@anyscale.com"
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slack: "@team_ml"
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2021-06-11 02:03:04 -07:00
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cluster:
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app_config: modin_xgboost_app_config.yaml
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compute_template: compute_tpl.yaml
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run:
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2021-07-07 22:37:41 -07:00
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use_connect: True
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2021-08-31 17:07:47 +02:00
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autosuspend_mins: 10
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2021-09-14 17:27:56 +02:00
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timeout: 1200
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2021-06-11 02:03:04 -07:00
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script: python workloads/modin_xgboost_test.py
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2021-10-05 09:17:33 -07:00
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args:
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[
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"--num-actors 4",
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"--cpus-per-actor 4",
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"--num-actors-inference 16",
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"--cpus-per-actor-inference 1",
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]
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2021-06-29 09:13:23 -07:00
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- name: torch_tune_serve_test
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owner:
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mail: "matt@anyscale.com"
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slack: "@team_ml"
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cluster:
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app_config: torch_tune_serve_app_config.yaml
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compute_template: gpu_tpl.yaml
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run:
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2021-07-06 19:02:50 -07:00
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use_connect: True
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2021-08-31 17:07:47 +02:00
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autosuspend_mins: 10
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2021-09-09 16:31:14 -07:00
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timeout: 1200
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2021-06-29 09:13:23 -07:00
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script: python workloads/torch_tune_serve_test.py
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