mirror of
https://github.com/vale981/ray
synced 2025-03-06 18:41:40 -05:00
1ef2a6790c
* Add scalability tests * Network overhead cluster * Update xgboost tests * Document release tests * Don't raise on failed trial * Update to multi node yamls * Update yamls * Revert xgboost test changes * Fix import * Update release/tune_tests/scalability_tests/workloads/test_bookkeeping_overhead.py Co-authored-by: Richard Liaw <rliaw@berkeley.edu> * Pass aws credentials (WIP) * Update durable trainable example * Update xgboost sweep * Change xgboost scope, fix durable trainable stop condition * Fix max depth to limit total test length * Add cluster information to test descriptions. Update release checklist/process docs Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
40 lines
809 B
YAML
40 lines
809 B
YAML
cluster_name: ray-tune-scalability-tests-1x32_hd
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max_workers: 0
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upscaling_speed: 1
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idle_timeout_minutes: 0
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docker:
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image: anyscale/ray:nightly
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container_name: ray_container
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pull_before_run: true
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provider:
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type: aws
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region: us-west-2
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availability_zone: us-west-2a
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cache_stopped_nodes: false
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available_node_types:
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cpu_32_hd_ondemand:
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node_config:
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InstanceType: m5.8xlarge
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BlockDeviceMappings:
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- DeviceName: /dev/sda1
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Ebs:
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VolumeSize: 160
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resources: {"CPU": 32} # 128 GB memory
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min_workers: 0
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max_workers: 0
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auth:
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ssh_user: ubuntu
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head_node_type: cpu_32_hd_ondemand
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worker_default_node_type: cpu_32_hd_ondemand
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setup_commands:
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- ray install-nightly
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