mirror of
https://github.com/vale981/ray
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b5b11b2d06
Please review **e2e.py and test_suite belonging to your team**! This is the first part of https://docs.google.com/document/d/16IrwerYi2oJugnRf5hvzukgpJ6FAVEpB6stH_CiNMjY/edit# This PR adds a team name to each test suite. If the name is not specified, it will be reported as unspecified. If you are running a local test, and if the new test suite doesn't have a team name specified, it will raise an exception (in this way, we can avoid missing team names in the future). Note that we will aggregate all of test config into a single file, nightly_test.yaml.
90 lines
1.9 KiB
YAML
90 lines
1.9 KiB
YAML
- name: bookkeeping_overhead
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team: ml
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cluster:
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app_config: app_config.yaml
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compute_template: tpl_1x16.yaml
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run:
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timeout: 1200
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script: python workloads/test_bookkeeping_overhead.py
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- name: durable_trainable
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team: ml
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cluster:
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app_config: app_config.yaml
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compute_template: tpl_16x2.yaml
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run:
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timeout: 900
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prepare: python wait_cluster.py 16 600
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script: python workloads/test_durable_trainable.py --bucket data-test-ilr
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- name: long_running_large_checkpoints
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team: ml
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cluster:
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app_config: app_config.yaml
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compute_template: tpl_1x32_hd.yaml
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run:
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timeout: 86400
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script: python workloads/test_long_running_large_checkpoints.py
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long_running: True
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smoke_test:
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run:
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timeout: 3600
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- name: network_overhead
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team: ml
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cluster:
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app_config: app_config.yaml
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compute_template: tpl_100x2.yaml
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run:
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timeout: 900
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prepare_timeout: 1200
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prepare: python wait_cluster.py 100 1200
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script: python workloads/test_network_overhead.py
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smoke_test:
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cluster:
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compute_template: tpl_20x2.yaml
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run:
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timeout: 400
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prepare_timeout: 600
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prepare: python wait_cluster.py 20 600
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- name: result_throughput_cluster
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team: ml
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cluster:
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app_config: app_config.yaml
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compute_template: tpl_16x64.yaml
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run:
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timeout: 600
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prepare: python wait_cluster.py 16 600
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script: python workloads/test_result_throughput_cluster.py
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- name: result_throughput_single_node
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team: ml
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cluster:
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app_config: app_config.yaml
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compute_template: tpl_1x96.yaml
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run:
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timeout: 600
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script: python workloads/test_result_throughput_single_node.py
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- name: xgboost_sweep
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team: ml
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cluster:
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app_config: app_config_data.yaml
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compute_template: tpl_16x64.yaml
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run:
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timeout: 3600
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prepare: python wait_cluster.py 16 600
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script: python workloads/test_xgboost_sweep.py
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