success.reindex_started=Started re-indexing.
success.bulk_process_started=Started a bulk process.
success.print_thread_dump=Printed a thread dump to a log file.
success.install_plugin=Installing plugin {0}.
success.delete_plugin=Deleting plugin {0}.
success.upload_file_to_storage=Uploaded {0}.
success.sso_logout=You have been logged out.
success.update_storage_tags=Updated tags of {0}.

success.crud_create_crud_table = Created the data.

```console
$ pytest

================ test session starts ================
platform linux -- Python 3.6.9, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/user/code/superawesome-cli/app
plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items

---> 100%

test_main.py <span style="color: green; white-space: pre;">......                            [100%]</span>

- Scheduler no longer runs the plugin's `Filter` method when its `PreFilter` method returned a Skip status.
  In other words, your `PreFilter`/`Filter` plugin can return a Skip status in `PreFilter` if the plugin does nothing in Filter for that Pod.
  Scheduler skips `NodeAffinity` Filter plugin when `NodeAffinity` Filter plugin has nothing to do with a Pod.

[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
$ pip install tensorflow
```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only package is also available:

```
$ pip install tensorflow-cpu
```

    private static final String[] CAT_NAMES =
            { "aliases", "allocation", "count", "fielddata", "health", "indices", "master", "nodeattrs", "nodes", "pending_tasks",
                    "plugins", "recovery", "repositories", "thread_pool", "shards", "segments", "snapshots", "templates" };

    // ===================================================================================

or GA.
  * New Flex Volume Plugin enables users to use out-of-process volume plugins that
are installed to “/usr/libexec/kubernetes/kubelet-plugins/volume/exec/” on
every node, instead of being compiled into the Kubernetes binary. See [example](examples/volumes/flexvolume/README.md) for details.
  * vendor volumes into a pod. It expects vendor drivers are installed in the

  - `MountPropagation`
  - `PersistentLocalVolumes`
- CoreDNS: The following directives or keywords are deprecated and will be removed in v1.15:
  - `upstream` option of `kubernetes` plugin, becoming default behavior in v1.15.
  - `proxy` plugin replaced by `forward` plugin

## Removed and deprecated metrics

### Removed metrics

- `reflector_items_per_list`
- `reflector_items_per_watch`
- `reflector_last_resource_version`

- Scheduler framework permit plugins now run at the end of the scheduling cycle, after reserve plugins. Waiting on permit will remain in the beginning of the binding cycle. ([#88199](https://github.com/kubernetes/kubernetes/pull/88199), [@mateuszlitwin](https://github.com/mateuszlitwin)) [SIG Scheduling]

* GCE PD volume plugin now supports block volumes. ([#58710](https://github.com/kubernetes/kubernetes/pull/58710), [@screeley44](https://github.com/screeley44))

    win_def_file = ":tensorflow_filtered_def_file",
)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in //tensorflow/compiler/xla/tsl/platform/default/build_config
# and use header only targets.
# TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on