#include "xla/tsl/c/tsl_status_internal.h"
#include "xla/tsl/distributed_runtime/coordination/coordination_service_agent.h"
#include "xla/tsl/framework/cancellation.h"
#include "tensorflow/core/common_runtime/composite_device.h"
#include "tensorflow/core/common_runtime/device.h"
#include "tensorflow/core/common_runtime/eager/eager_operation.h"
#include "tensorflow/core/distributed_runtime/coordination/coordination_service_error_util.h"

  // Check if the remote task is alive.
  virtual absl::Status CheckRemoteAlive(const std::string& remote_task_name,
                                        bool* is_alive) = 0;

  // Get pointer to the coordination service agent instance.
  virtual tsl::CoordinationServiceAgent* GetCoordinationServiceAgent() = 0;
};
}  // namespace tensorflow

testing/internal-performance-testing/       @gradle/bt-developer-productivity
testing/internal-testing/                   @gradle/bt-developer-productivity

# Release coordination
subprojects/core-platform/              @gradle/bt-support
subprojects/distributions-dependencies/ @gradle/bt-support
subprojects/distributions-full/         @gradle/bt-support

	quarkus/test-framework/junit5-internal/pom.xml
quarkus/integration-tests/hibernate-search-orm-elasticsearch-coordination-outbox-polling/pom.xml
	quarkus/extensions/resteasy-classic/resteasy/runtime/pom.xml
	quarkus/extensions/hibernate-search-orm-elasticsearch/runtime/pom.xml
	quarkus/extensions/hibernate-search-orm-coordination-outbox-polling/runtime/pom.xml
	quarkus/extensions/jdbc/jdbc-h2/runtime/pom.xml
	quarkus/test-framework/junit5/pom.xml

- Added Coordinated Leader Election as Alpha under the `CoordinatedLeaderElection` feature gate. With the feature enabled, the control plane can use LeaseCandidate objects (coordination.k8s.io/v1alpha1 API group) to participate in a leader election and let the kube-apiserver select the best instance according to some strategy. ([#124012](https://github.com/kubernetes/kubernetes/pull/124012), [@Jefftree](https://github.com/Jefftree))...

    *   Transpose now supports 6D tensors.
    *   Float LSTM now supports diagonal recurrent tensors: https://arxiv.org/abs/1903.08023

*   `tf.experimental.dtensor`:

    *   Coordination service now works with `dtensor.initialize_accelerator_system`, and enabled by default.
    *   Add `tf.experimental.dtensor.is_dtensor` to check if a tensor is a DTensor instance.

*   `tf.data`: