Template.`var_scope` property renamed to `.variable_scope` *
SyncReplicasOptimizer is removed and SyncReplicasOptimizerV2 renamed to
SyncReplicasOptimizer. * `tf.zeros_initializer()` and `tf.ones_initializer()`
now return a callable that must be called with initializer arguments, in your
code replace `tf.zeros_initializer` with `tf.zeros_initializer()`. *
`SparseTensor.shape` has been renamed to `SparseTensor.dense_shape`. Same for

     - `.extenders[*].httpTimeout` is of type `metav1.Duration`.
     - `.extenders[*].enableHttps` is renamed to `.extenders[*].enableHTTPS`.
   - `RequestedToCapacityRatio` args decoding is case sensitive. All fields are affected.
   - `DefaultPodTopologySpread` plugin is renamed to `SelectorSpread`.
   - `Unreserve` extension point is removed from Profile definition. All `Reserve`

validation will reject the pod if the concatenated name is not valid for a PVC (for example, too long).\n\nAn existing PVC with that name that is not owned by the pod will *not* be used for the pod to avoid using an unrelated volume by mistake. Starting the pod is then blocked until the unrelated PVC is removed. If such a pre-created PVC is meant to be used by the pod, the PVC has to updated with an owner reference to the pod once the pod exists. Normally this should not be necessary, but it may be useful...

     the reduction axis labels.

 (c) Batch Dimensions: Axes corresponding to labels appearing in each of the
     input subscripts and also in the output subscript make up the batch
     dimensions in Tensor contraction. Unnamed axis labels corresponding to
     ellipsis (`...`) also correspond to batch dimensions.
     For example, for the equation denoting batch matrix multiplication,