mirror of
https://github.com/k3s-io/kubernetes.git
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1e77594958
Packaged the script as a docker container stored in gcr.io/google-containers A daemonset deployment is included to make it easy to consume the installer A cluster e2e has been added to test the installation daemonset along with verifying installation by using a sample CUDA application. Node e2e for GPUs updated to avoid running on nodes without GPU devices. Signed-off-by: Vishnu kannan <vishnuk@google.com>
54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
package(default_visibility = ["//visibility:public"])
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load("@io_bazel//tools/build_defs/pkg:pkg.bzl", "pkg_tar")
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load("@io_kubernetes_build//defs:build.bzl", "release_filegroup")
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pkg_tar(
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name = "gci-trusty-manifests",
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files = [
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"container-linux/configure-helper.sh",
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"gci/configure-helper.sh",
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"gci/health-monitor.sh",
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"gci/mounter/mounter",
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],
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mode = "0755",
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strip_prefix = ".",
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# pkg_tar doesn't support renaming the files we add, so instead create symlinks.
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symlinks = {
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"container-linux-configure-helper.sh": "container-linux/configure-helper.sh",
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"gci-configure-helper.sh": "gci/configure-helper.sh",
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"health-monitor.sh": "gci/health-monitor.sh",
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"gci-mounter": "gci/mounter/mounter",
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"trusty-configure-helper.sh": "trusty/configure-helper.sh",
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},
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)
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filegroup(
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name = "package-srcs",
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srcs = glob(["**"]),
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tags = ["automanaged"],
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visibility = ["//visibility:private"],
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)
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filegroup(
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name = "all-srcs",
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srcs = [
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":package-srcs",
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"//cluster/gce/gci/nvidia-gpus:all-srcs",
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],
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tags = ["automanaged"],
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)
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# Having the configure-vm.sh script and and trusty code from the GCE cluster
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# deploy hosted with the release is useful for GKE.
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# This list should match the list in kubernetes/release/lib/releaselib.sh.
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release_filegroup(
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name = "gcs-release-artifacts",
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srcs = [
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"configure-vm.sh",
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"gci/configure.sh",
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"gci/master.yaml",
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"gci/node.yaml",
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],
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)
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