*   Extend scatter operations to work with a scalar update parameter.
    *   Move cuDNN RNN ops to core for use in TensorFlow codebase only.
    *   Add `float64` support for `Conv2d`, `Conv2dBackpropInput`, and
        `Conv2dBackpropFilter`.
    *   Add `float64` support for `AvgPool`/`AvgPoolGrad`.
    *   Make graph name scope thread local so that they work correctly in
        multi-threaded environments.

   *
   * <p>The multimap is not threadsafe when any concurrent operations update the multimap, even if
   * {@code map} and the instances generated by {@code factory} are. Concurrent read operations will
   * work correctly. To allow concurrent update operations, wrap the multimap with a call to {@link
   * #synchronizedMultimap}.
   *
   * <p>Call this method only when the simpler methods {@link ArrayListMultimap#create()}, {@link

      Table<String, Integer, Character> table = makeTable();
      populateTable(table);
      return table.rowMap();
    }

    // `protected` to work around b/320650932 / KT-67447 runtime crash
    protected final void populateTable(Table<String, Integer, Character> table) {
      table.put("foo", 1, 'a');
      table.put("bar", 1, 'b');
      table.put("foo", 3, 'c');

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

   * <p>The expected (but not guaranteed) performance of the special implementation differs from
   * {@code getStackTrace} in one main way: The {@code lazyStackTrace} call itself returns quickly
   * by delaying the per-stack-frame work until each element is accessed. Roughly speaking:
   *
   * <ul>
   *   <li>{@code getStackTrace} takes {@code stackSize} time to return but then negligible time to
   *       retrieve each element of the returned list.

As a newly created SIG, the SIG-ibmcloud has mainly focused on SIG set up, sharing IBM Clouds ongoing Kubernetes work like scalability tests, Kubernetes upgrade strategy etc. with the SIG members and start working on processes to move cloud provider code to a public GitHub repo.

### SIG-instrumentation

No feature work, but a large refactoring of metrics-server as well as a number of bug fixes.

### SIG-node

## Major themes

Kubernetes is developed by community members whose work is organized into
[Special Interest Groups](https://github.com/kubernetes/community/blob/master/sig-list.md), which provide the themes that guide their work. For the 1.9 release, these themes included:

### API Machinery

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

Si quieres aprender más sobre HTTPS, revisa la guía [Acerca de HTTPS](../deployment/https.md){.internal-link target=_blank}.

///

### Cómo funcionan los headers reenviados por el Proxy { #how-proxy-forwarded-headers-work }

Aquí tienes una representación visual de cómo el **proxy** añade headers reenviados entre el cliente y el **application server**:

```mermaid
sequenceDiagram
    participant Client as Cliente

 */
@GwtCompatible
@NullUnmarked
public class IntMathTest extends TestCase {
  public void testMaxSignedPowerOfTwo() {
    assertTrue(IntMath.isPowerOfTwo(IntMath.MAX_SIGNED_POWER_OF_TWO));

    // Extra work required to make GWT happy.
    long value = IntMath.MAX_SIGNED_POWER_OF_TWO * 2L;
    assertFalse(IntMath.isPowerOfTwo((int) value));
  }

  public void testCeilingPowerOfTwo() {