@Override
          public void run() {
            /*
             * This is similar to the above test, but this time we're making sure that we recognize
             * that the output Future is done early not because of an exception but because of a
             * cancellation.
             */
            secondFuture.setException(subsequentFailure);
          }
        },
        directExecutor());

          @Override
          public void run() {
            /*
             * This is similar to the above test, but this time we're making sure that we recognize
             * that the output Future is done early not because of an exception but because of a
             * cancellation.
             */
            secondFuture.setException(subsequentFailure);
          }
        },
        directExecutor());

  // Update name_map with newly-created ops.
  // TODO(skyewm): right now BuildWhileLoop() may alter the graph if it returns
  // a bad status. Once we fix this, we may want to return early instead of
  // executing the following code.
  for (int i = first_new_node_id; i < parent->graph.num_node_ids(); ++i) {
    Node* new_node = parent->graph.FindNodeId(i);
    if (new_node == nullptr) continue;

    *   Keras-based LSTM models must be converted with an explicit batch size in
        the input layer.

## Bug Fixes and Other Changes

### TF Core:

*   Set `tf2_behavior` to 1 to enable V2 for early loading cases.
*   Add `execute_fn_for_device function` to dynamically choose the
    implementation based on underlying device placement.
*   Eager:
    *   Add `reduce_logsumexp` benchmark with experiment compile.

- `ValidatingAdmissionPolicy` now preserves types of composition variables, and raises type-related errors early. ([#121001](https://github.com/kubernetes/kubernetes/pull/121001), [@jiahuif](https://github.com/jiahuif))

The focus of this release is **compatibility** with Pydantic v1 and v2, to make sure your current apps keep working. Later there will be more focus on refactors, correctness, code improvements, and then **performance** improvements. Some third-party early beta testers that ran benchmarks on the beta releases of FastAPI reported improvements of **2x - 3x**. Which is not bad for just doing `pip install --upgrade fastapi pydantic`. This was not an official benchmark and I didn't check it myself, but it's...

- Endpoint slice controller now mirrors parent's service label to its corresponding endpoint slices....

- [`KT-24901`](https://youtrack.jetbrains.com/issue/KT-24901) No smart cast for `when` with early return
- [`KT-53086`](https://youtrack.jetbrains.com/issue/KT-53086) "Cannot access '<init>' before superclass constructor has been called" with inner class secondary constructor

- Fixed: deleted a non-existent Azure disk issue. ([#107406](https://github.com/kubernetes/kubernetes/pull/107406), [@andyzhangx](https://github.com/andyzhangx))
- Fixed: do not return early in the node informer when there is no change of the topology label. ([#108149](https://github.com/kubernetes/kubernetes/pull/108149), [@nilo19](https://github.com/nilo19))

nodes with pods may see pods that fail due to node admission

1.22 addressed a long-standing issue in the Kubelet where terminating pods were [vulnerable to race conditions](https://github.com/kubernetes/kubernetes/pull/102344) leading to early shutdown, resource leaks, or long delays in actually completing pod shutdown. As a consequence of this change the Kubelet now correctly takes into account the resources of running and terminating pods when deciding to accept new pods, since terminating...