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

#ifndef TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_
#define TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_

// A simple logging device to test custom device registration.
#include <memory>

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

akseptert",imageTooSmall:"bildet er for lite",imageTooTall:"bildet kan ikke være høyere enn",imageTooWide:"bildet kan ikke være bredere enn",lengthBadEnd:"tegn",lengthBadStart:"Inntastingsverdien må være mellom ",lengthTooLongStart:"Inntastingsverdien er lenger enn ",lengthTooShortStart:"Inntastingsverdien er kortere enn ",max:"maks",min:"min",notConfirmed:"Inntastingsverdier kunne ikke bekreftes",requiredField:"Dette er et obligatorisk felt",requiredFields:"Du har ikke besvart alle obligatoriske felt",...

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

#include "tensorflow/c/conversion_macros.h"
#include "tensorflow/c/eager/immediate_execution_context.h"

// Wraps a pointer to a context implementation.
//

 *
 */
@Named
@Singleton
public class DefaultLifecycleBindingsInjector implements LifecycleBindingsInjector {

    private final LifecycleBindingsMerger merger = new LifecycleBindingsMerger();

    private final LifecycleRegistry lifecycleRegistry;
    private final PackagingRegistry packagingRegistry;

    @Inject

#include <vector>

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/tfe_tensor_debug_info_internal.h"
#include "tensorflow/c/eager/tfe_tensorhandle_internal.h"
#include "tensorflow/c/tf_status_internal.h"
#include "tensorflow/core/common_runtime/eager/tensor_handle.h"
#include "tensorflow/core/platform/status.h"

using tensorflow::string;

namespace {

@Singleton
public class DefaultDependencyManagementInjector implements DependencyManagementInjector {

    private ManagementModelMerger merger = new ManagementModelMerger();

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

    /**
     * ManagementModelMerger
     */

                    .build(Build.newBuilder().plugins(plugins).build())
                    .build();
            model.update(merger.merge(model.getDelegate(), lifecycleModel));
        }
    }

    /**
     *  The domain-specific model merger for lifecycle bindings
     */
    protected static class LifecycleBindingsMerger extends MavenModelMerger {

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_
#define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_

// Run a function containing a MatMul op and check its output.
// If heavy_load_on_streaming_rpc is true, send some rpc requests before the one

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

#include <memory>

#include "absl/container/flat_hash_set.h"
#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.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.h"

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

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/platform/refcount.h"
namespace tensorflow {
namespace tracing {