Vlad Chesnokov <******@****.***> 1711962993 +0400

            "type": "string"
          },
          "keyring": {
            "description": "keyring is the path to key ring for RBDUser. Default is /etc/ceph/keyring. More info: https://examples.k8s.io/volumes/rbd/README.md#how-to-use-it",
            "type": "string"
          },
          "monitors": {

     The output would be the input transposed to the following layout:
     n,iY,bY,iX,bX,oC

This operation is useful for resizing the activations between convolutions
(but keeping all data), e.g. instead of pooling. It is also useful for training
purely convolutional models.

For example, given an input of shape `[1, 1, 1, 4]`, data_format = "NHWC" and
block_size = 2:

```

				newSvc.Spec.IPFamilyPolicy = &requireDualStack
				newSvc.Spec.IPFamilies = []core.IPFamily{core.IPv4Protocol, core.IPv6Protocol}
			},
			numErrs: 1,
		}, {
			name: "downgrade keeping the families",
			tweakSvc: func(oldSvc, newSvc *core.Service) {
				oldSvc.Spec.ClusterIP = "1.2.3.4"
				oldSvc.Spec.ClusterIPs = []string{"1.2.3.4", "2001::1"}
				oldSvc.Spec.Type = core.ServiceTypeClusterIP

# Release 1.1.0

## Major Features and Improvements

*   Added Java API support for Windows.
*   Added `tf.spectral` module. Moved existing FFT ops to `tf.spectral` while
    keeping an alias in the old location (`tf.*`).
*   Added 1D, 2D and 3D Fourier transform ops for real signals to `tf.spectral`.
*   Added a `tf.bincount` function.
*   Added Keras 2 API to contrib.