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Split into 3 parts: - main part with high level description of the repository - Build and test Intel GPU Device Plugin for Kubernetes - Build and test Intel FPGA Device Plugin for Kubernetes Added Intel logo to the main README.md Fixes #2
1.6 KiB
1.6 KiB
Build and test Intel GPU Device Plugin for Kubernetes
Get source code
$ mkdir -p $GOPATH/src/github.com/intel/
$ cd $GOPATH/src/github.com/intel/
$ git clone https://github.com/intel/intel-device-plugins-for-kubernetes.git
Build GPU device plugin
$ cd $GOPATH/src/github.com/intel/intel-device-plugins-for-kubernetes
$ make gpu_plugin
Make sure kubelet socket exists in /var/lib/kubelet/device-plugins/
$ ls /var/lib/kubelet/device-plugins/kubelet.sock
/var/lib/kubelet/device-plugins/kubelet.sock
Run GPU device plugin as administrator
$ sudo $GOPATH/src/github.com/intel/intel-device-plugins-for-kubernetes/cmd/gpu_plugin/gpu_plugin
GPU device plugin started
Adding '/dev/dri/card0' to GPU 'card0'
Adding '/dev/dri/controlD64' to GPU 'card0'
Adding '/dev/dri/renderD128' to GPU 'card0'
device-plugin start server at: /var/lib/kubelet/device-plugins/intelGPU.sock
device-plugin registered
device-plugin: ListAndWatch start
ListAndWatch: send devices &ListAndWatchResponse{Devices:[&Device{ID:card0,Health:Healthy,}],}
Check if GPU device plugin is registered on master
$ kubectl describe node <node name> | grep intel.com/gpu
intel.com/gpu: 1
intel.com/gpu: 1
Test GPU device plugin
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Build a Docker image with beignet unit tests:
$ cd demo $ ./build-image.sh ubuntu-demo-opencl
This command will produce a Docker image named
ubuntu-demo-opencl
. -
Create a pod running unit tests off the local Docker image:
$ kubectl apply -f demo/intelgpu_pod.yaml
-
Observe the pod's logs:
$ kubectl logs intelgpu-demo-pod