* Switch k8s on GCE to use GCI by default ([#33353](https://github.com/kubernetes/kubernetes/pull/33353), [@vishh](https://github.com/vishh))
* Move HighWaterMark to the top of the struct in order to fix arm, second time ([#33376](https://github.com/kubernetes/kubernetes/pull/33376), [@luxas](https://github.com/luxas))

for an example.

*  TensorFlow IO support is now available for Apple Silicon packages.

*  Refactor CpuExecutable to propagate LLVM errors.

## Keras

Keras is a framework built on top of the TensorFlow. See more details on the Keras [website](https://keras.io/).

### Major Features and Improvements

* `tf.keras`

  optional string operation = 2;

  // APIVersion defines the version of this resource that this field set
  // applies to. The format is "group/version" just like the top-level
  // APIVersion field. It is necessary to track the version of a field
  // set because it cannot be automatically converted.
  optional string apiVersion = 3;

generated by cgo. A typical preamble #includes necessary definitions:

	// #include <stdio.h>
	import "C"

For more details about the usage of cgo, see the documentation
comment at the top of this file.

Understanding C

Cgo scans the Go source files that import "C" for uses of that
package, such as C.puts. It collects all such identifiers. The next

* Fix fluentd-gcp configuration to facilitate JSON parsing ([#48139](https://github.com/kubernetes/kubernetes/pull/48139), [@crassirostris](https://github.com/crassirostris))
* Bump runc to v1.0.0-rc2-49-gd223e2a - fixes `failed to initialise top level QOS containers` kubelet error. ([#48117](https://github.com/kubernetes/kubernetes/pull/48117), [@sjenning](https://github.com/sjenning))

*   `kubectl get` now uses OpenAPI schema extensions by default to select columns for custom types. ([#53483](https://github.com/kubernetes/kubernetes/pull/53483),[ @apelisse](https://github.com/apelisse))
*   kubectl `top node` now sorts by name and `top pod` sorts by namespace. Fixed a bug where results were inconsistently sorted. ([#53560](https://github.com/kubernetes/kubernetes/pull/53560),[ @dixudx](https://github.com/dixudx))

of Heapster. Instead, you may use the [metrics server](https://github.com/kubernetes-incubator/metrics-server). It's a simplified heapster that is able to gather and serve current metrics values. It provides the Metrics API that is used by `kubectl top`, and horizontal pod autoscaler. Note that it doesn't include some features of Heapster, such as short term metrics for graphs in kube-dashboard and dedicated push sinks, which proved hard to maintain and scale. Clusters using Heapster for transferring...

                [FastAPI docs for `lifespan`](https://fastapi.tiangolo.com/advanced/events/).
                """
            ),
        ] = None,
        # the generic to Lifespan[AppType] is the type of the top level application
        # which the router cannot know statically, so we use typing.Any
        lifespan: Annotated[
            Optional[Lifespan[Any]],
            Doc(
                """

* Implement NetworkPolicy v1beta1 API object / client support. ([#25638](https://github.com/kubernetes/kubernetes/pull/25638), [@caseydavenport](https://github.com/caseydavenport))
* Only expose top N images in `NodeStatus` ([#25328](https://github.com/kubernetes/kubernetes/pull/25328), [@resouer](https://github.com/resouer))

#include "tensorflow/core/platform/thread_annotations.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/public/session.h"
#include "tensorflow/core/public/version.h"

// The implementation below is at the top level instead of the
// brain namespace because we are defining 'extern "C"' functions.
using tensorflow::AttrValueMap;
using tensorflow::DataType;
using tensorflow::ExtendSessionGraphHelper;
using tensorflow::FullTypeDef;