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Summary: Prerequisite for https://github.com/pytorch/pytorch/issues/60221. Pull Request resolved: https://github.com/pytorch/pytorch/pull/60888 Reviewed By: seemethere Differential Revision: D29436592 Pulled By: samestep fbshipit-source-id: b3254139ec9c46c533f8f951a9ede3b372a65536
44 lines
1.1 KiB
YAML
44 lines
1.1 KiB
YAML
# scale-config.yml:
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# Powers what instance types are available for GHA auto-scaled
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# runners. Runners listed here will be available as self hosted
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# runners, configuration is directly pulled from the main branch.
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#
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# NOTE (Apr, 5, 2021): Linux runners are currently all an amazonlinux2
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#
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# TODO: Add some documentation on how the auto-scaling works
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#
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# NOTE: Default values,
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#
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# runner_types:
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# runner_label:
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# instance_type: m4.large
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# os: linux
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# max_available: 20
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# disk_size: 50
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runner_types:
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linux.2xlarge:
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instance_type: c5.2xlarge
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os: linux
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max_available: 500
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disk_size: 150
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linux.8xlarge.nvidia.gpu:
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instance_type: g3.8xlarge
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os: linux
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max_available: 50
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disk_size: 150
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linux.16xlarge.nvidia.gpu:
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instance_type: g3.16xlarge
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os: linux
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max_available: 10
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disk_size: 150
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windows.4xlarge:
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instance_type: c5d.4xlarge
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os: windows
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max_available: 200
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disk_size: 256
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windows.8xlarge.nvidia.gpu:
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instance_type: p3.2xlarge
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os: windows
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max_available: 25
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disk_size: 256
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