mirror of
https://github.com/vale981/ray
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d8a61f801f
* Create a core set of algorithms tests to run nightly. * Run release tests under tf, tf2, and torch frameworks. * Fix * Add eager_tracing option for tf2 framework. * make sure core tests can run in parallel. * cql * Report progress while running nightly/weekly tests. * Innclude SAC in nightly lineup. * Revert changes to learning_tests * rebrand to performance test. * update build_pipeline.py with new performance_tests name. * Record stats. * bug fix, need to populate experiments dict. * Alphabetize yaml files. * Allow specifying frameworks. And do not run tf2 by default. * remove some debugging code. * fix * Undo testing changes. * Do not run CQL regression for now. * LINT. Co-authored-by: sven1977 <svenmika1977@gmail.com>
21 lines
388 B
YAML
21 lines
388 B
YAML
cloud_id: {{env["ANYSCALE_CLOUD_ID"]}}
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region: us-west-2
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max_workers: 12
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head_node_type:
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name: head_node
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instance_type: m5.xlarge
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worker_node_types:
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- name: worker_node
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instance_type: g3.4xlarge
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min_workers: 12
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max_workers: 12
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use_spot: false
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aws:
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BlockDeviceMappings:
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- DeviceName: /dev/sda1
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Ebs:
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VolumeSize: 500
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