TF_TString_Init(&tstr[0]);
  TF_TString_Copy(&tstr[0], test_string, sizeof(test_string) - 1);

  auto deallocator = [](void* data, size_t len, void* arg) {};
  unique_tensor_ptr t_in(TF_NewTensor(TF_STRING, nullptr, 0, &tstr[0],
                                      sizeof(tstr), deallocator, nullptr),
                         TF_DeleteTensor);

  // Create a TF_Operation with the attribute t_in

// * Maybe add TF_TensorShape that encapsulates dimension info.
//
// Design decisions made:
// * Backing store for tensor memory has an associated deallocation
//   function.  This deallocation function will point to client code
//   for tensors populated by the client.  So the client can do things
//   like shadowing a numpy array.
// * We do not provide TF_OK since it is not strictly necessary and we

* Updaing QoS policy to be at the pod level ([#14943](https://github.com/kubernetes/kubernetes/pull/14943), [@vishh](https://github.com/vishh))
* add CIDR allocator for NodeController ([#19242](https://github.com/kubernetes/kubernetes/pull/19242), [@mqliang](https://github.com/mqliang))