@ElementTypesAreNonnullByDefault
abstract class AbstractBaseGraph<N> implements BaseGraph<N> {

  /**
   * Returns the number of edges in this graph; used to calculate the size of {@link Graph#edges()}.
   * This implementation requires O(|N|) time. Classes extending this one may manually keep track of
   * the number of edges as the graph is updated, and override this method for better performance.
   */
  protected long edgeCount() {

limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_
#define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_

#include <cstdint>
#include <string>

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

namespace tsl {
class CoordinationServiceAgent;

#ifndef TENSORFLOW_C_EAGER_TRACING_UTILS_H_
#define TENSORFLOW_C_EAGER_TRACING_UTILS_H_

#include "tensorflow/c/eager/abstract_operation.h"

namespace tensorflow {
namespace tracing {
Status MaybeSetOpName(AbstractOperation*, const char* op_name);
}  // namespace tracing
}  // namespace tensorflow

```

### Verwendung des Namens der *Pfadoperation-Funktion* als operationId

Wenn Sie die Funktionsnamen Ihrer API als `operationId`s verwenden möchten, können Sie über alle iterieren und die `operation_id` jeder *Pfadoperation* mit deren `APIRoute.name` überschreiben.

Sie sollten dies tun, nachdem Sie alle Ihre *Pfadoperationen* hinzugefügt haben.

```Python hl_lines="2  12-21  24"

#ifndef TENSORFLOW_C_EAGER_UNIFIED_API_TESTUTIL_H_
#define TENSORFLOW_C_EAGER_UNIFIED_API_TESTUTIL_H_

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/c_api_unified_experimental.h"
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"

        "//tensorflow/c:safe_ptr",
        "//tensorflow/c:tf_status_internal",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/c/eager:c_api_experimental",
        "//tensorflow/c/eager:tfe_cancellation_manager_internal",
        "//tensorflow/c/eager:tfe_op_internal",
        "//tensorflow/c/eager:tfe_tensorhandle_internal",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_C_API_TEST_UTIL_H_
#define TENSORFLOW_C_EAGER_C_API_TEST_UTIL_H_

#include <vector>

#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/core/platform/logging.h"

@Named
@Singleton
public class DefaultPluginManagementInjector implements PluginManagementInjector {

    private ManagementModelMerger merger = new ManagementModelMerger();

    @Override
    public Model injectManagement(Model model, ModelBuilderRequest request, ModelProblemCollector problems) {
        return merger.mergeManagedBuildPlugins(model);
    }

    /**
     * ManagementModelMerger
     */

# Where component owners are known, add them here.

/tensorflow/c/eager @qqfish
/tensorflow/core/common_runtime/eager @qqfish
/tenosrflow/core/debug @caisq
/tensorflow/core/kernels/mkl/ @penpornk
/tensorflow/core/kernels/sparse/ @penpornk
/tensorflow/core/nccl/ @azaks2 @chsigg
/tensorflow/python/autograph/ @mdanatg
/tensorflow/python/debug @caisq
/tensorflow/python/eager @rohan100jain
/tensorflow/tools/docs/ @markdaoust

==============================================================================*/

#include "tensorflow/c/eager/c_api_unified_experimental.h"

#include <memory>

#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/c/tf_status.h"