`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with...

// using a delete-marker and MetaSys entries. It's used to track tiered content of a
// deleted/overwritten version. This version is visible _only_to the scanner routine, for subsequent deletion.
// This kind of tracking is necessary since a version's tiered content is deleted asynchronously.

// Backend directory tree structure:
// disk1/
// └── bucket
//     └── object
//         ├── a192c1d5-9bd5-41fd-9a90-ab10e165398d

    val framesThatFillWindow =
      roundUp(Settings.DEFAULT_INITIAL_WINDOW_SIZE, peer.maxOutboundDataLength())

    // Write the mocking script. This accepts more data frames than necessary!
    peer.sendFrame().settings(Settings())
    peer.acceptFrame() // SETTINGS ACK
    peer.acceptFrame() // SYN_STREAM on stream 1
    for (i in 0 until framesThatFillWindow) {

	// bucket.Methods(http.MethodPut).Path("/{object:.+}").HeadersRegexp("X-Amz-Copy-Source", ".*?(\\/|%2F).*?").HandlerFunc(api.CopyObjectPartHandler).Queries("partNumber", "{partNumber:[0-9]+}", "uploadId", "{uploadId:.*}")
	// Its necessary to set the "X-Amz-Copy-Source" header for the request to be accepted by the handler.
	nilReq.Header.Set("X-Amz-Copy-Source", url.QueryEscape(SlashSeparator+nilBucket+SlashSeparator+nilObject))

* Implementers of the cloud provider interface will note the addition of a context to this interface. Trivial code modification will be necessary for a cloud provider to continue to compile. ([#59287](https://github.com/kubernetes/kubernetes/pull/59287), [@cheftako](https://github.com/cheftako))

 * for each class that is used in a list</li>
 * </ul>
 * Code is written like it could be generated, with default behaviour to be overridden when necessary.
 * This is particularly the case for <code>Object get<i>Classname</i>Key( <i>Classname</i> <i>classname</i> )</code>
 * method, which by default return the object itself and is expected to be overridden to calculate better suited key

   * expected to hang (because one of the input futures that we know makes it up isn't done yet),
   * then we call it in a separate thread (using pseudoTimedGet). The result is that we wait as long
   * as necessary when the method is expected to return (at the cost of hanging forever if there is
   * a bug in the class under test) but that we time out fairly promptly when the method is expected

   * expected to hang (because one of the input futures that we know makes it up isn't done yet),
   * then we call it in a separate thread (using pseudoTimedGet). The result is that we wait as long
   * as necessary when the method is expected to return (at the cost of hanging forever if there is
   * a bug in the class under test) but that we time out fairly promptly when the method is expected

	maps.Copy(oi2Map, oi2.UserTags)
	if (oi2.UserTagCount > 0 && !reflect.DeepEqual(oi2Map, t.ToMap())) || (oi2.UserTagCount != len(t.ToMap())) {
		return replicateMetadata
	}

	// Compare only necessary headers
	compareKeys := []string{
		"Expires",
		"Cache-Control",
		"Content-Language",
		"Content-Disposition",
		"X-Amz-Object-Lock-Mode",
		"X-Amz-Object-Lock-Retain-Until-Date",

- **Cluster Lifecycle**
  - [alpha] Ensure critical cluster infrastructure pods (Heapster, DNS, etc.) can schedule by evicting regular pods when necessary to make the critical pods schedule. ([docs](http://kubernetes.io/docs/admin/rescheduler/#guaranteed-scheduling-of-critical-add-on-pods)) ([kubernetes/features#62](https://github.com/kubernetes/enhancements/issues/62))