actionlint.yaml

self-hosted-runner:
  labels:
    # GitHub hosted x86 Linux runners
    - linux.20_04.4x
    - linux.20_04.16x
    # Organization-wide AWS Linux Runners
    - linux.large
    - linux.2xlarge
    - linux.4xlarge
    - linux.9xlarge.ephemeral
    - am2.linux.9xlarge.ephemeral
    - linux.12xlarge
    - linux.12xlarge.ephemeral
    - linux.24xlarge
    - linux.24xlarge.ephemeral
    - linux.arm64.2xlarge
    - linux.arm64.2xlarge.ephemeral
    - linux.arm64.m7g.4xlarge
    - linux.arm64.m7g.4xlarge.ephemeral
    - linux.4xlarge.nvidia.gpu
    - linux.8xlarge.nvidia.gpu
    - linux.16xlarge.nvidia.gpu
    - linux.g5.4xlarge.nvidia.gpu
    # Pytorch/pytorch AWS Linux Runners on Linux Foundation account
    - lf.linux.large
    - lf.linux.2xlarge
    - lf.linux.4xlarge
    - lf.linux.12xlarge
    - lf.linux.24xlarge
    - lf.linux.arm64.2xlarge
    - lf.linux.4xlarge.nvidia.gpu
    - lf.linux.8xlarge.nvidia.gpu
    - lf.linux.16xlarge.nvidia.gpu
    - lf.linux.g5.4xlarge.nvidia.gpu
    # Repo-specific IBM hosted S390x runner
    - linux.s390x
    # Organization wide AWS Windows runners
    - windows.g4dn.xlarge
    - windows.g4dn.xlarge.nonephemeral
    - windows.4xlarge
    - windows.4xlarge.nonephemeral
    - windows.8xlarge.nvidia.gpu
    - windows.8xlarge.nvidia.gpu.nonephemeral
    - windows.g5.4xlarge.nvidia.gpu
    # Organization-wide AMD hosted MI300 runners
    - linux.rocm.gpu
    # Repo-specific Apple hosted  runners
    - macos-m1-ultra
    - macos-m2-14
    # Org wise AWS `mac2.metal` runners (2020 Mac mini hardware powered by Apple silicon M1 processors)
    - macos-m1-stable
    - macos-m1-13
    - macos-m1-14
    # GitHub-hosted MacOS runners
    - macos-latest-xlarge
    - macos-13-xlarge
    - macos-14-xlarge
    # Organization-wide Intel hosted XPU runners
    - linux.idc.xpu