mirror of
https://github.com/vale981/ray
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75027eb479
Making sure that tuning multiple trials in parallel is not significantly slower than training each individual trials. Some overhead is expected. Signed-off-by: Xiaowei Jiang <xwjiang2010@gmail.com> Signed-off-by: Richard Liaw <rliaw@berkeley.edu> Signed-off-by: Kai Fricke <kai@anyscale.com> Co-authored-by: Jimmy Yao <jiahaoyao.math@gmail.com> Co-authored-by: Richard Liaw <rliaw@berkeley.edu> Co-authored-by: Kai Fricke <kai@anyscale.com>
15 lines
280 B
YAML
15 lines
280 B
YAML
cloud_id: {{env["ANYSCALE_CLOUD_ID"]}}
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region: us-west-2
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max_workers: 7
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head_node_type:
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name: head_node
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instance_type: m5.2xlarge
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worker_node_types:
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- name: worker_node
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instance_type: m5.2xlarge
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max_workers: 7
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min_workers: 7
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use_spot: false
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