Hugo: fix device-plugins (#8567)

Fix misparsed lists: Add empty line before lists so that they
are parsed properly.
This commit is contained in:
Andreas Jaeger
2018-05-23 07:38:33 +02:00
committed by k8s-ci-robot
parent abcab6562d
commit 9f4e9c84e2
@@ -51,6 +51,7 @@ to advertise 2 `vendor-domain/foo`.
Then, users can request devices in a Then, users can request devices in a
[Container](/docs/reference/generated/kubernetes-api/{{< param "version" >}}/#container-v1-core) [Container](/docs/reference/generated/kubernetes-api/{{< param "version" >}}/#container-v1-core)
specification as they request other types of resources, with the following limitations: specification as they request other types of resources, with the following limitations:
* Extended resources are only supported as integer resources and cannot be overcommitted. * Extended resources are only supported as integer resources and cannot be overcommitted.
* Devices cannot be shared among Containers. * Devices cannot be shared among Containers.
@@ -126,6 +127,7 @@ in the plugin's
Kubernetes device plugin support is still in alpha. As development continues, its API version can Kubernetes device plugin support is still in alpha. As development continues, its API version can
change in incompatible ways. We recommend that device plugin developers do the following: change in incompatible ways. We recommend that device plugin developers do the following:
* Watch for changes in future releases. * Watch for changes in future releases.
* Support multiple versions of the device plugin API for backward/forward compatibility. * Support multiple versions of the device plugin API for backward/forward compatibility.
@@ -137,6 +139,7 @@ ensure the continuous functioning of the device allocations during the upgrade.
## Examples ## Examples
For examples of device plugin implementations, see: For examples of device plugin implementations, see:
* The official [NVIDIA GPU device plugin](https://github.com/NVIDIA/k8s-device-plugin) * The official [NVIDIA GPU device plugin](https://github.com/NVIDIA/k8s-device-plugin)
* it requires using [nvidia-docker 2.0](https://github.com/NVIDIA/nvidia-docker) which allows you to run GPU enabled docker containers * it requires using [nvidia-docker 2.0](https://github.com/NVIDIA/nvidia-docker) which allows you to run GPU enabled docker containers
* The [NVIDIA GPU device plugin for COS base OS](https://github.com/GoogleCloudPlatform/container-engine-accelerators/tree/master/cmd/nvidia_gpu). * The [NVIDIA GPU device plugin for COS base OS](https://github.com/GoogleCloudPlatform/container-engine-accelerators/tree/master/cmd/nvidia_gpu).