* Node-Problem-Detector configuration is now decoupled from the Kubernetes release on GKE/GCE. ([#73288](https://github.com/kubernetes/kubernetes/pull/73288), [@wangzhen127](https://github.com/wangzhen127))
* [IPVS] Allow for transparent kube-proxy restarts ([#75283](https://github.com/kubernetes/kubernetes/pull/75283), [@lbernail](https://github.com/lbernail))

* [IPVS] Allow for transparent kube-proxy restarts ([#75283](https://github.com/kubernetes/kubernetes/pull/75283), [@lbernail](https://github.com/lbernail))



# v1.14.0

[Documentation](https://docs.k8s.io)

## Downloads for v1.14.0

	// No way to do this (yet?) with just an http2.Transport. Probably
	// no need. Request.Cancel this is the new way. We only need to support
	// this for compatibility with the old http.Transport fields when
	// we're doing transparent http2.
	return 0
}

// checkConnHeaders checks whether req has any invalid connection-level headers.
// per RFC 7540 section 8.1.2.2: Connection-Specific Header Fields.

* Node-Problem-Detector configuration is now decoupled from the Kubernetes release on GKE/GCE. ([#73288](https://github.com/kubernetes/kubernetes/pull/73288), [@wangzhen127](https://github.com/wangzhen127))
* [IPVS] Allow for transparent kube-proxy restarts ([#75283](https://github.com/kubernetes/kubernetes/pull/75283), [@lbernail](https://github.com/lbernail))



# v1.12.7

[Documentation](https://docs.k8s.io)

## Downloads for v1.12.7

        libraries and headers.
    *   TF code now resides in `tensorflow_core` and `tensorflow` is just a
        virtual pip package. No code changes are needed for projects using
        TensorFlow, the change is transparent
*   XLA
    *   XLA HLO graphs can be inspected with interactive_graphviz tool now.
*   Estimator
    *   Use tf.compat.v1.estimator.inputs instead of tf.estimator.inputs

pkg image, type YCbCr struct, YStride int
pkg image, type YCbCrSubsampleRatio int
pkg image, var Black *Uniform
pkg image, var ErrFormat error
pkg image, var Opaque *Uniform
pkg image, var Transparent *Uniform
pkg image, var White *Uniform
pkg image, var ZP Point
pkg image, var ZR Rectangle
pkg image/color, func ModelFunc(func(Color) Color) Model