#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 {
namespace graph {
using tensorflow::AbstractFunction;
// Thin wrapper around a FunctionDef.

			<version>${slf4j.version}</version>
		</dependency>
		<dependency>
			<groupId>com.fasterxml.jackson.core</groupId>
			<artifactId>jackson-databind</artifactId>
			<version>${jackson.version}</version>
		</dependency>
		<dependency>
			<groupId>org.apache.tika</groupId>
			<artifactId>tika-core</artifactId>
			<version>${tika.version}</version>
		</dependency>
		<dependency>

#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/core/lib/io/path.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/resource_loader.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

namespace tensorflow {
namespace {

#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/tfe_tensorhandle_internal.h"
#include "tensorflow/core/common_runtime/eager/tensor_handle.h"
#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

using ::tensorflow::string;

string MatMulFunction(const string& matmul_device) {

   * <<<{{{./apidocs/org/apache/maven/api/cli/mvnup/package-summary.html}mvnup}}>>>, the Maven Upgrade tool.

 This API also defines {{{./core-extensions.html}Core Extensions model}} for <<<.mvn/extensions.xml>>>.

#define TENSORFLOW_C_C_API_MACROS_INTERNAL_H_

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

// Macro to verify that the field `struct_size` of STRUCT_OBJ is initialized.
// `struct_size` is used for struct member compatibility check between core TF
// and plug-ins with the same C API minor version. More info here:

#include "tensorflow/core/common_runtime/eager/eager_operation.h"
#include "tensorflow/core/common_runtime/function_optimization_registry.h"
#include "tensorflow/core/common_runtime/optimization_registry.h"
#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/platform/casts.h"

HSPLandroidx/arch/core/executor/ArchTaskExecutor;-><init>()V
HSPLandroidx/arch/core/executor/ArchTaskExecutor;->getInstance()Landroidx/arch/core/executor/ArchTaskExecutor;
HSPLandroidx/arch/core/executor/DefaultTaskExecutor$1;-><init>(Landroidx/arch/core/executor/DefaultTaskExecutor;)V
HSPLandroidx/arch/core/executor/DefaultTaskExecutor;-><init>()V
HSPLandroidx/arch/core/executor/DefaultTaskExecutor;->isMainThread()Z
HSPLandroidx/arch/core/executor/TaskExecutor;-><init>()V

#include "tensorflow/c/eager/c_api_unified_experimental.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {

// Represents the results of the execution of an operation.
struct OutputList {
  std::vector<AbstractTensorHandle*> outputs;

import static java.util.Objects.requireNonNull;

/**
 * Represents the list of core extensions configured at one source. The list is validated (are GA unique), but no
 * other logic than that is applied.
 *
 * @since 4.0.0
 * @param source The source file of core extensions, is never {@code null}.
 * @param coreExtensions The configured core extensions, is never {@code null}. Contents of list is guaranteed to be unique by GA.
 *