mirror of
https://github.com/vale981/ray
synced 2025-03-06 10:31:39 -05:00
b1308b1c8c
This fixes the previous problems from team column revert. This has 2 additional changes; alert handler receives the team argument, which was the root cause of breakage; https://github.com/ray-project/ray/pull/21289 Previously, tests without a team column were raising an exception, but I made the condition weaker (warning logs). I will eventually change it to raise an exception, but for smoother transition, we will log warning instead for a short time
118 lines
3.3 KiB
YAML
118 lines
3.3 KiB
YAML
- name: aws_no_sync_down
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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_aws_4x2.yaml
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run:
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timeout: 600
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prepare: python wait_cluster.py 4 600
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script: python workloads/run_cloud_test.py no_sync_down
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- name: aws_ssh_sync
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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_aws_4x2.yaml
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run:
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timeout: 600
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prepare: python wait_cluster.py 4 600
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script: python workloads/run_cloud_test.py ssh_sync
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- name: aws_durable_upload
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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_aws_4x2.yaml
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run:
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timeout: 600
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prepare: python wait_cluster.py 4 600
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script: python workloads/run_cloud_test.py durable_upload --bucket s3://data-test-ilr/durable_upload
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- name: aws_durable_upload_rllib_str
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team: ml
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cluster:
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app_config: app_config_ml.yaml
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compute_template: tpl_aws_4x2.yaml
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run:
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timeout: 600
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prepare: python wait_cluster.py 4 600
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script: python workloads/run_cloud_test.py durable_upload --trainable rllib_str --bucket s3://data-test-ilr/durable_upload_rllib_str
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- name: aws_durable_upload_rllib_trainer
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team: ml
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cluster:
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app_config: app_config_ml.yaml
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compute_template: tpl_aws_4x2.yaml
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run:
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timeout: 600
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prepare: python wait_cluster.py 4 600
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script: python workloads/run_cloud_test.py durable_upload --trainable rllib_trainer --bucket s3://data-test-ilr/durable_upload_rllib_trainer
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- name: aws_no_durable_upload
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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_aws_4x2.yaml
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run:
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timeout: 600
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prepare: python wait_cluster.py 4 600
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script: python workloads/run_cloud_test.py no_durable_upload --bucket s3://data-test-ilr/durable_upload
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- name: gcp_k8s_no_sync_down
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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_gcp_k8s_4x8.yaml
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cloud_id: cld_k8WcxPgjUtSE8RVmfZpTLuKM # anyscale_k8s_gcp_cloud
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run:
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use_connect: True
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timeout: 600
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# Remove --cpus-per-trial 8 once n2-standard-2 is supported
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script: python workloads/run_cloud_test.py no_sync_down --cpus-per-trial 8
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- name: gcp_k8s_ssh_sync
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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_gcp_k8s_4x8.yaml
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cloud_id: cld_k8WcxPgjUtSE8RVmfZpTLuKM # anyscale_k8s_gcp_cloud
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run:
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use_connect: True
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timeout: 600
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# Remove --cpus-per-trial 8 once n2-standard-2 is supported
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script: python workloads/run_cloud_test.py ssh_sync --cpus-per-trial 8
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- name: gcp_k8s_durable_upload
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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_gcp_k8s_4x8.yaml
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cloud_id: cld_k8WcxPgjUtSE8RVmfZpTLuKM # anyscale_k8s_gcp_cloud
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run:
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use_connect: True
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timeout: 600
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# Remove --cpus-per-trial 8 once n2-standard-2 is supported
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script: python workloads/run_cloud_test.py durable_upload --cpus-per-trial 8 --bucket gs://jun-riot-test/durable_upload
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- name: gcp_k8s_no_durable_upload
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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_gcp_k8s_4x8.yaml
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cloud_id: cld_k8WcxPgjUtSE8RVmfZpTLuKM # anyscale_k8s_gcp_cloud
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run:
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use_connect: True
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timeout: 600
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# Remove --cpus-per-trial 8 once n2-standard-2 is supported
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script: python workloads/run_cloud_test.py no_durable_upload --cpus-per-trial 8 --bucket gs://jun-riot-test/durable_upload
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