41bdf53f65
This commit adds nvidia gpu-operator helm charts use case for custom container runtime feature. To load nvidia-gpu-operator on starlingx: system service-parameter-add platform container_runtime \ custom_container_runtime=\ nvidia:/usr/local/nvidia/toolkit/nvidia-container-runtime And define runtimeClass for nvidia gpu pods: kind: RuntimeClass apiVersion: node.k8s.io/v1beta1 metadata: name: nvidia handler: nvidia The above will direct all containerd creations of pods with nvidia runtimeClass to nvidia-container-runtime -- where the nvidia-conta iner-runtime is installed by the operator onto a hostMount. Story: 2008434 Task: 41978 Signed-off-by: Babak Sarashki <babak.sarashki@windriver.com> Change-Id: I999804d4697349bc0966d0a6e653d7bce15e18fc
46 lines
1.0 KiB
RPMSpec
46 lines
1.0 KiB
RPMSpec
# Build variables
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%global app_folder /usr/local/share/applications/helm
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Summary: StarlingX nvidia gpu-operator helm chart
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Name: gpu-operator
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Version: 1.6.0
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Release: 0%{?_tis_dist}.%{tis_patch_ver}
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License: Apache-2.0
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Group: base
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Packager: Wind River <info@windriver.com>
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URL: https://github.com/NVIDIA/gpu-operator/tree/gh-pages
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Source0: %{name}-%{version}.tar.gz
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BuildArch: noarch
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Patch01: deployments-setup-configmap-with-assets-for-volumemo.patch
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Patch02: enablement-support-on-starlingx-cloud-platform.patch
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BuildRequires: helm
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%define debug_package %{nil}
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%description
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StarlingX port of NVIDIA gpu-operator
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%prep
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%setup
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%patch01 -p1
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%patch02 -p1
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%build
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cp -r assets deployments/gpu-operator/assets
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helm lint deployments/gpu-operator
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mkdir build_results
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helm package --version %{version} --app-version %{version} -d build_results deployments/gpu-operator
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%install
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install -d -m 755 ${RPM_BUILD_ROOT}%{helm_folder}
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install -p -D -m 755 build_results/%{name}-%{version}.tgz ${RPM_BUILD_ROOT}%{helm_folder}
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%files
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%defattr(-,root,root,-)
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%{helm_folder}
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