*   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.

SIG Network has graduated the widely used [Ingress API](https://kubernetes.io/docs/concepts/services-networking/ingress/) to general availability in Kubernetes 1.19. This change recognises years of hard work by Kubernetes contributors, and paves the way for further work on future networking APIs in Kubernetes.

### seccomp graduates to General Availability

Maximum breakpoint width. Null for the largest (last) breakpoint.\n// The maximum value is calculated as the minimum of the next one less 0.02px\n// to work around the limitations of `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(sm, (xs: 0, sm: 576px, md: 768px,...

Maximum breakpoint width. Null for the largest (last) breakpoint.\n// The maximum value is calculated as the minimum of the next one less 0.02px\n// to work around the limitations of `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(sm, (xs: 0, sm: 576px, md: 768px,...

If `T` is smaller than `type`, the operator requires that the rightmost
dimension be equal to sizeof(`type`)/sizeof(`T`). The shape then goes from
[..., sizeof(`type`)/sizeof(`T`)] to [...].

tf.bitcast() and tf.cast() work differently when real dtype is casted as a complex dtype
(e.g. tf.complex64 or tf.complex128) as tf.cast() make imaginary part 0 while tf.bitcast()
gives module error.
For example,

Example 1:

Class <org.gradle.tooling.events.work.internal.DefaultWorkItemOperationDescriptor> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (DefaultWorkItemOperationDescriptor.java:0)
Class <org.gradle.tooling.events.work.internal.DefaultWorkItemStartEvent> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (DefaultWorkItemStartEvent.java:0)

        "properties": {
          "localhostProfile": {
            "description": "localhostProfile indicates a profile loaded on the node that should be used. The profile must be preconfigured on the node to work. Must match the loaded name of the profile. Must be set if and only if type is \"Localhost\".",
            "type": "string"
          },
          "type": {
            "default": "",

Minutes of time, leaning hard upon it. Then I put fresh Putty upon the
Pitch, and ground it again till it had done making a noise, and
afterwards ground the Object-Metal upon it as before. And this Work I
repeated till the Metal was polished, grinding it the last time with all
my strength for a good while together, and frequently breathing upon
the Pitch, to keep it moist without laying on any more fresh Putty. The

2F2E          ; mapped                 ; 5DDB          # 3.0  KANGXI RADICAL RIVER
2F2F          ; mapped                 ; 5DE5          # 3.0  KANGXI RADICAL WORK
2F30          ; mapped                 ; 5DF1          # 3.0  KANGXI RADICAL ONESELF
2F31          ; mapped                 ; 5DFE          # 3.0  KANGXI RADICAL TURBAN

		{core.ResourceName("kubernetes.io/" + strings.Repeat("a", 64)), false, ""},
		{"kubernetes.io//", false, ""},
		{"kubernetes.io", false, ""},
		{"kubernetes.io/will/not/work/", false, ""},
	}
	for k, item := range table {
		err := validateResourceName(item.input, field.NewPath("field"))
		if len(err) != 0 && item.success {
			t.Errorf("expected no failure for input %q", item.input)