## Highlights

*   TF 2.0 delivers Keras as the central high level API used to build and train
    models. Keras provides several model-building APIs such as Sequential,
    Functional, and Subclassing along with eager execution, for immediate
    iteration and intuitive debugging, and `tf.data`, for building scalable
    input pipelines. Checkout
    [guide](https://www.tensorflow.org/beta/guide/keras/overview) for additional

// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"bytes"
	"context"
	"encoding/xml"
	"fmt"
	"io"
	"math/rand"
	"net/http"
	"net/url"
	"reflect"

            profile.</description>
        </field>
      </fields>
    </class>
    -->
    <!-- /BuildProfile support -->
    <class xml.tagName="plugin" xdoc.anchorName="report_plugin" java.clone="deep">
      <name>ReportPlugin</name>
      <version>4.0.0+</version>
      <superClass>ConfigurationContainer</superClass>
      <description>
        <![CDATA[

                tailIndex = newIndex;
                tail = e;
              }
            }
            newTable.set(tailIndex, tail);

            // Clone nodes leading up to the tail.
            for (ReferenceEntry<K, V> e = head; e != tail; e = e.getNext()) {
              int newIndex = e.getHash() & newMask;
              ReferenceEntry<K, V> newNext = newTable.get(newIndex);

query","constructor","toArray","get","num","pushStack","elems","ret","merge","prevObject","each","callback","map","arguments","first","eq","last","even","grep","_elem","odd","len","j","end","sort","splice","extend","options","copy","copyIsArray","clone","target","deep","isPlainObject","Array","isArray","undefined","expando","Math","random","replace","isReady","error","msg","noop","proto","Ctor","isEmptyObject","globalEval","textContent","documentElement","nodeValue","makeArray","results","inArra...

    [rescheduler](https://kubernetes.io/docs/admin/rescheduler/) to guarantee
    resource availability for critical system pods.
* **[alpha]** `--experimental-nvidia-gpus` flag is replaced by `Accelerators` alpha
  feature gate along with addition of support for multiple Nvidia GPUs.
  - To use GPUs, pass `Accelerators=true` as part of `--feature-gates` flag.
  - More information [here](https://vishh.github.io/docs/user-guide/gpus/).

pkg net/http, func NewRequestWithContext(context.Context, string, string, io.Reader) (*Request, error)
pkg net/http, method (Header) Clone() Header
pkg net/http, method (*Request) Clone(context.Context) *Request
pkg net/http, method (*Transport) Clone() *Transport
pkg net/http, type Server struct, BaseContext func(net.Listener) context.Context

// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"bytes"
	"context"
	"encoding/base64"
	"encoding/binary"
	"encoding/json"
	"encoding/xml"
	"errors"
	"fmt"

- Kubelet command line flags related to dockershim are now showing deprecation message as they will be removed along with dockershim in future release. ([#98730](https://github.com/kubernetes/kubernetes/pull/98730), [@dims](https://github.com/dims))

- Updates the `requestedToCapacityRatioArguments` to add resources parameter that allows the users to specify the resource name along with weights for each resource to score nodes based on the request to capacity ratio. ([#77688](https://github.com/kubernetes/kubernetes/pull/77688), [@sudeshsh](https://github.com/sudeshsh))