# 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

1. 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`.

2. Create a pod running unit tests off the local Docker image:
   ```
   $ kubectl apply -f demo/intelgpu_pod.yaml
   ```

3. Observe the pod's logs:
   ```
   $ kubectl logs intelgpu-demo-pod
   ```