#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Abstract interface to an operation.
// This interface allows building and executing an operation in either
// tracing or immediate execution mode.
class AbstractOperation {
 protected:
  enum AbstractOperationKind {
    kGraph,
    kMlir,
    kEager,
    kTfrt,
    kTape,
    kOpHandler
  };

     * @param execution a execution object.
     */
    public void removeExecution(Execution execution) {
        getExecutions().remove(execution);
    } // -- void removeExecution( Execution )

    /**
     * Set configuration to pass to all goals run in this phase.
     *
     * @param configuration a configuration object.
     */
    public void setConfiguration(Object configuration) {
        this.configuration = configuration;

import java.util.Map;
import java.util.concurrent.Executor;
import java.util.concurrent.Future;
import java.util.concurrent.atomic.AtomicInteger;
import junit.framework.TestCase;

/**
 * Unit tests for {@link CacheLoader}.
 *
 * @author Charles Fry
 */
public class CacheLoaderTest extends TestCase {

  private static class QueuingExecutor implements Executor {

  }

  /** @since 13.0 */
  @Override
  public final void addListener(Listener listener, Executor executor) {
    listeners.addListener(listener, executor);
  }

  @Override
  public String toString() {
    return getClass().getSimpleName() + " [" + state() + "]";
  }

  /**
   * Attempts to execute all the listeners in {@link #listeners} while not holding the {@link
   * #monitor}.
   */

      assertEquals(Service.State.STOPPING, state());
      shutdownCalled++;
    }

    @Override
    protected Executor executor() {
      return executor;
    }

    @Override
    public void tearDown() throws Exception {
      executor.shutdown();
    }
  }

# Tâches d'arrière-plan

Vous pouvez définir des tâches d'arrière-plan qui seront exécutées après avoir retourné une réponse.

Ceci est utile pour les opérations qui doivent avoir lieu après une requête, mais où le client n'a pas réellement besoin d'attendre que l'opération soit terminée pour recevoir une réponse.

Cela comprend, par exemple :

* Les notifications par email envoyées après l'exécution d'une action :

    @Inject
    private LegacySupport legacySupport;

    private final Executor executor;

    public DefaultArtifactResolver() {
        int threads = Integer.getInteger("maven.artifact.threads", 5);
        if (threads <= 1) {
            executor = Runnable::run;
        } else {
            executor = new ThreadPoolExecutor(

        </field>
        <field>
          <name>executions</name>
          <version>1.0.0+</version>
          <description>The goals to execute within the phase.</description>
          <association>
            <type>Execution</type>
            <multiplicity>*</multiplicity>
          </association>
        </field>
        <field>
          <name>configuration</name>

// Creates a new TensorFlow function. A Function is an execution context, and as
// such it can trace operations through TF_ExecuteOperation. After completing
// tracing, a function can be obtained by TF_FinalizeFunction.
TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* status);

// Creates a context for eager execution of operations.
TF_ExecutionContext* TF_NewEagerExecutionContext(TFE_ContextOptions*,

      assertEquals(Service.State.STOPPING, state());
      shutdownCalled++;
    }

    @Override
    protected Executor executor() {
      return executor;
    }

    @Override
    public void tearDown() throws Exception {
      executor.shutdown();
    }
  }