#include "tensorflow/cc/training/queue_runner.h"

#include <string>
#include <vector>

#include "tensorflow/cc/framework/scope.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/cc/training/coordinator.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"

  @Test fun onlyOneCoordinatorWaitingToStartFutureTasks() {
    // Enqueueing the red task starts a coordinator thread.
    redQueue.execute("red task", 100.µs) {
      log += "red:run@${taskFaker.nanoTime}"
    }
    assertThat(taskFaker.executeCallCount).isEqualTo(1)

    // Enqueueing the blue task doesn't need a 2nd coordinator yet.
    blueQueue.execute("blue task", 200.µs) {
      log += "blue:run@${taskFaker.nanoTime}"
    }

        executionPlan?.close()
        new DefaultExecutionPlan(Path.ROOT.toString(), taskNodeFactory, new OrdinalGroupFactory(), dependencyResolver, accessHierarchies.outputHierarchy, accessHierarchies.destroyableHierarchy, coordinator)
    }

    def "schedules tasks in dependency order"() {
        given:
        Task a = task("a")
        Task b = task("b", dependsOn: [a])
        Task c = task("c", dependsOn: [b, a])

        } else {
            determinedBaselines = forkPointCommitBaseline()
        }

        println("Determined baseline is: ${determinedBaselines.get()}")
    }

    /**
     * Coordinator build doesn't resolve to real commit version, they just pass "flakiness-detection-commit" as it is to worker build
     * "flakiness-detection-commit" is resolved to real commit id in worker build to disable build cache.
     *

		if err != nil {
			f.Fatal(err)
		}
		for i := range c {
			c[i].IsSeed = true // these are all seed corpus values
			if f.fuzzContext.mode == fuzzCoordinator {
				// If this is the coordinator process, zero the values, since we don't need
				// to hold onto them.
				c[i].Values = nil
			}
		}

		f.corpus = append(f.corpus, c...)
	}

	// to all processes in that group. This is not the case on Windows.
	// If the worker is interrupted, return quickly and without error.
	// If only the coordinator process is interrupted, it tells each worker
	// process to stop by closing its "fuzz_in" pipe.
	ctx, cancel := signal.NotifyContext(context.Background(), os.Interrupt)
	defer cancel()
	err := fuzz.RunFuzzWorker(ctx, fn)

    private def locks = new ArrayList<MockLock>()
    private def acquired = new HashSet<MockLock>()
    def thisBuild = backing.gradle
    def project = project()
    def nodeValidator = Mock(NodeValidator)
    def coordinator = new DefaultResourceLockCoordinationService()

    protected Set<ProjectInternal> getLockedProjects() {
        return locks.findAll { it.locked }.collect { it.project } as Set
    }

                    div().classAttr("col p-0");
                        a().classAttr("btn btn-sm btn-outline-primary").attr("data-toggle", "tooltip").title("Go back to Performance Coordinator Build")
                            .href(getTeamCityWebUrlFromBuildId(System.getenv("BUILD_ID"))).target("_blank").text("<-").end();
                    end();
                    div().classAttr("col-5 p-0");

		"cmd/internal/testdir": true,
	}

	// Fast path to avoid the ~1 second of `go list std cmd` when
	// the caller lists specific tests to run. (as the continuous
	// build coordinator does).
	if len(t.runNames) > 0 {
		for _, name := range t.runNames {
			if !strings.Contains(name, ":") {
				t.registerStdTest(name)
			} else if strings.HasSuffix(name, ":racebench") {

*   `tf.distribute`

    *   Opened an experimental API, `tf.distribute.experimental.coordinator.get_current_worker_index`, for retrieving the worker index from within a worker, when using parameter server training with a custom training loop.

*   `tf.experimental.dtensor`