- kubeadm: `kubeadm upgrade node` now supports `addon` and `post-upgrade` phases. Users can use `kubeadm upgrade node phase addon` to execute the addon upgrade, or use `kubeadm upgrade node --skip-phases addon` to skip the addon upgrade. If you were previously skipping an addon subphase on `kubeadm init` you should now skip the same addon when calling `kubeadm upgrade apply` and `kubeadm upgrade node`. Currently, the `post-upgrade` phase is...

- Bumped addon manager to use `kubectl` version `v1.32.2`. ([#130548](https://github.com/kubernetes/kubernetes/pull/130548), [@Jefftree](https://github.com/Jefftree)) [SIG Cloud Provider, Scalability and Testing]

- kubeadm: if an addon is disabled in the ClusterConfiguration, skip it during upgrade. ([#129418](https://github.com/kubernetes/kubernetes/pull/129418), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle]

  if (gradient_tensors.size() == 1) {
    return gradient_tensors[0];
  }

  AbstractOperationPtr op(ctx_->CreateOperation());
  absl::Status s = op->Reset("AddN", /*raw_device_name=*/nullptr);
  if (!s.ok()) {
    return nullptr;
  }
  s = op->AddInputList(gradient_tensors);
  if (!s.ok()) {
    return nullptr;
  }

  int num_outputs = 1;

  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Test TF_Operation*() query functions.
  EXPECT_EQ(std::string("add"), std::string(TF_OperationName(add)));
  EXPECT_EQ(std::string("AddN"), std::string(TF_OperationOpType(add)));
  EXPECT_EQ(std::string(""), std::string(TF_OperationDevice(add)));
  EXPECT_EQ(1, TF_OperationNumOutputs(add));
  EXPECT_EQ(TF_INT32, TF_OperationOutputType(TF_Output{add, 0}));

  TF_Operation* add = Add(feed1, feed2, func_graph_, s_);
  DefineT(-1, {}, {{feed1, 0}, {feed2, 0}}, {{add, 3}}, {}, true);
  EXPECT_EQ(TF_OUT_OF_RANGE, TF_GetCode(s_));
  EXPECT_EQ(std::string("Node 'add' (type: 'AddN', num of outputs: 1) does "
                        "not have output 3\n\tEncountered while processing "
                        "output 0 from function 'MyFunc'"),
            std::string(TF_Message(s_)));
}

- Kubeadm: Removed the deprecated `UpgradeAddonsBeforeControlPlane` feature gate; Ensured that the upgrade of the CoreDNS and kube-proxy addons would not be triggered until all the control plane instances were upgraded. ([#124715](https://github.com/kubernetes/kubernetes/pull/124715), [@SataQiu](https://github.com/SataQiu))

*   `tf.contrib`:

    *   `tf.contrib` has been deprecated, and functionality has been either
        migrated to the core TensorFlow API, to an ecosystem project such as
        [tensorflow/addons](https://www.github.com/tensorflow/addons) or
        [tensorflow/io](https://www.github.com/tensorflow/io), or removed
        entirely.
    *   Remove `tf.contrib.timeseries` dependency on TF distributions.

t.Run(fmt.Sprintf("line %d", lineNum), func(t *testing.T) { if A == "0" || B == "0" { t.Skip("skipping test with zero input") } if LCM == "1" { t.Skip("skipping test with LCM=1") } p, _ := bigmod.NewModulus(addOne(decodeHex(t, A))) a, _ := bigmod.NewNat().SetBytes(decodeHex(t, A), p) q, _ := bigmod.NewModulus(addOne(decodeHex(t, B))) b, _ := bigmod.NewNat().SetBytes(decodeHex(t, B), q) gcd, err := bigmod.NewNat().GCDVarTime(a, b) // GCD doesn't work if a and b are both even, but LCM handles it. if err == nil...