<c:set var="pager" value="${groupPager}" scope="request"/>
                                <c:import url="/WEB-INF/view/common/admin/crud/pagination.jsp"/>
                                <c:if test="${pager.currentPageNumber > pager.allPageCount}">
                                    <script>location.href = "${contextPath}/admin/group/list/${pager.allPageCount}";</script>
                                </c:if>

                                <c:set var="pager" value="${rolePager}" scope="request"/>
                                <c:import url="/WEB-INF/view/common/admin/crud/pagination.jsp"/>
                                <c:if test="${pager.currentPageNumber > pager.allPageCount}">
                                    <script>location.href = "${contextPath}/admin/role/list/${pager.allPageCount}";</script>
                                </c:if>

#include <functional>
#include <memory>
#include <string>
#include <unordered_map>
#include <vector>

#include "tensorflow/c/eager/immediate_execution_context.h"
#include "tensorflow/c/eager/immediate_execution_operation.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/c/experimental/saved_model/core/concrete_function.h"

**FastAPI** uygulamasını yayınlarken aklınızda bulundurmanız gereken ana kavramlardan bazılarını size göstereceğim (ancak bunların çoğu diğer web uygulamaları için de geçerlidir).

#ifndef TENSORFLOW_C_EAGER_DLPACK_H_
#define TENSORFLOW_C_EAGER_DLPACK_H_

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

namespace tensorflow {

// PyCapsule name for DLPack Tensor
const char* const kDlTensorCapsuleName = "dltensor";

// Converts eager tensor handle to DLPack (DLManagedTensor*), and return the
// void* for further PyCapsule construction.

#ifndef TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_
#define TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_

#include <memory>

#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/unified_api_testutil.h"

namespace tensorflow {
namespace gradients {

/* Returns numerical grad inside `dtheta_approx` given `forward` model and
 * parameter specified by `input_index`.

        realizeOps.size() == 2
        realizeOps*.details.each {
            assert it.taskPath == ":foo"
        }
        realizeOps.first().details.eager == false
        realizeOps.last().details.eager == true
        def uniqueId = Iterables.getOnlyElement(realizeOps*.details*.taskId as Set)

        when:
        configurationCacheRun(":foo")
        then:

#ifndef TENSORFLOW_CC_EXPERIMENTAL_LIBTF_FUNCTION_H_
#define TENSORFLOW_CC_EXPERIMENTAL_LIBTF_FUNCTION_H_

#include <vector>

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/cc/experimental/libtf/object.h"
#include "tensorflow/core/platform/statusor.h"

namespace tf {
namespace libtf {

}
// end::namespace[]

// tag::using-api[]
tasks.named<Jar>("jar") {
    archiveFileName = "foo.jar"
}
// end::using-api[]

// tag::using-eager-api[]
tasks.getByName<Jar>("jar") {
    archiveFileName = "foo.jar"
}

    def "help with lazy and eager tasks"() {
        given:
        runner.testGroup = "configuration avoidance"
        runner.buildSpec {
            displayName("lazy")
            invocation {
                tasksToRun("help")
            }
        }
        runner.baseline {
            displayName("eager")
            invocation {
                tasksToRun("help")