Adds the test "should be able to pull image from docker hub [WindowsOnly]",
which will pull a Windows busybox image from dockerhub. Since it is busybox,
the same command will also work for this image.
The busybox image is currently used in other E2E tests, so the image should
already be prepulled on the nodes. Additionally, the image has a manifest list
for Windows Server 1803 and Windows Server 2019, and future versions will be
added to it.
systemd is the recommended driver as per the setup of running
the kubelet using systemd as the init system. Add a preflight
check that throws a warning if this isn't the case.
Currently JoinConfigFileAndDefaultsToInternalConfig is doing a couple of
different things depending on its parameters. It:
- loads a versioned JoinConfiguration from an YAML file.
- returns defaulted JoinConfiguration allowing for some overrides.
In order to make code more manageable, the following steps are taken:
- Introduce LoadJoinConfigurationFromFile, which loads a versioned
JoinConfiguration from an YAML file, defaults it (both dynamically and
statically), converts it to internal JoinConfiguration and validates it.
- Introduce DefaultedJoinConfiguration, which returns defaulted (both
dynamically and statically) and verified internal JoinConfiguration.
The possibility of overwriting defaults via versioned JoinConfiguration is
retained.
- Re-implement JoinConfigFileAndDefaultsToInternalConfig to use
LoadJoinConfigurationFromFile and DefaultedJoinConfiguration.
- Replace some calls to JoinConfigFileAndDefaultsToInternalConfig with calls to
either LoadJoinConfigurationFromFile or DefaultedJoinConfiguration where
appropriate.
- Rename JoinConfigFileAndDefaultsToInternalConfig to the more appropriate name
LoadOrDefaultJoinConfiguration.
Signed-off-by: Rostislav M. Georgiev <rostislavg@vmware.com>
The previous version of CudaVectorAdd test image can still be used
in our testing. A later change will extend the existing gpu e2e tests
to run pods with two containers. One with CudaVectorAdd version1 and
the other with CudaVectorAdd version2 so that we can test both
Cuda versions.
that requests any device plugin resource. If not, re-issue Allocate
grpc calls. This allows us to handle the edge case that a pod got
assigned to a node even before it populates its extended resource
capacity.
