* NodeController doesn't evict Pods if no Nodes are Ready ([#25571](https://github.com/kubernetes/kubernetes/pull/25571), [@gmarek](https://github.com/gmarek))
* Incompatible change of kube-up.sh:  ([#25734](https://github.com/kubernetes/kubernetes/pull/25734), [@jszczepkowski](https://github.com/jszczepkowski))

  } else {
    TF_Tensor* t = TFE_TensorHandleResolve(retvals[0], status);
    EXPECT_NE(TF_OK, TF_GetCode(status));
    EXPECT_EQ(nullptr, t);
    const char* msg = "Matrix size-incompatible: In[0]: [2,2], In[1]: [3,2]";
    EXPECT_TRUE(strstr(TF_Message(status), msg) != nullptr)
        << TF_Message(status);
    // Since error is not cleared, the following copy with correct device will
    // still fail.

        "].");
    return;
  }
  if (!ic_dst->MergeInput(dst.index, shape)) {
    status->status = tensorflow::errors::InvalidArgument(
        "Cannot update edge, incompatible shapes: ", ic_dst->DebugString(shape),
        " and ", ic_dst->DebugString(ic_dst->input(dst.index)), ".");
    return;
  }
  status->status = graph->graph.UpdateEdge(&new_src.oper->node, new_src.index,

  // be inferred.
  TF_Status* status = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Create this failure by trying to add two nodes with incompatible shapes
  // (A tensor with shape [2] and a tensor with shape [3] cannot be added).
  const char data[] = {1, 2, 3};
  const int64_t vec2_dims[] = {2};
  unique_tensor_ptr vec2_tensor(

* fix nsenter GetFileType issue in containerized kubelet ([#62467](https://github.com/kubernetes/kubernetes/pull/62467), [@andyzhangx](https://github.com/andyzhangx))
* fix incompatible file type checking on Windows ([#62154](https://github.com/kubernetes/kubernetes/pull/62154), [@dixudx](https://github.com/dixudx))

* Resolves forbidden error when the `daemon-set-controller` cluster role access `controllerrevisions` resources. ([#62146](https://github.com/kubernetes/kubernetes/pull/62146), [@frodenas](https://github.com/frodenas))
* fix incompatible file type checking on Windows ([#62154](https://github.com/kubernetes/kubernetes/pull/62154), [@dixudx](https://github.com/dixudx))

  * The Docker-CRI implementation is enabled by default.
  * It is not compatible with containers created by older Kubelets. It is
    recommended to drain your node before upgrade. If you choose to perform
    an in-place upgrade, the Kubelet will automatically restart all
    Kubernetes-managed containers on the node.
  * It is not compatible with CNI plugins that do not conform to the

    *   reflector_list_duration_seconds
    *   reflector_lists_total
    *   reflector_short_watches_total
    *   reflector_watch_duration_seconds
    *   reflector_watches_total
    * While this is a backwards-incompatible change, it would have been impossible to setup reliable monitoring around these metrics since the labels were not stable. 



# v1.13.4

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

## Downloads for v1.13.4

    *   reflector_list_duration_seconds
    *   reflector_lists_total
    *   reflector_short_watches_total
    *   reflector_watch_duration_seconds
    *   reflector_watches_total
    * While this is a backwards-incompatible change, it would have been impossible to setup reliable monitoring around these metrics since the labels were not stable. 

  kind.

#### Behavioral Changes

 - For all kinds in the API group version, a spec.selector default value is no longer
 available, because it's incompatible with `kubectl
 apply` and strategic merge patch. You must explicitly set the spec.selector value
 in your manifest. An object with a spec.selector value that does not match the labels in
 its spec.template is invalid.