href="#searchOptions" class="badge badge-primary"
				data-toggle="control-options"> <la:message
						key="labels.searchoptions_num" arg0="${f:h(num)}" />
			</a></li>
			<li class="list-inline-item"><la:message key="labels.searchoptions_menu_lang" /> <a
				href="#searchOptions" class="badge badge-primary"
				data-toggle="control-options"> <c:if test="${empty lang}">

				href="#searchOptions" class="badge badge-primary"
				data-toggle="control-options"> <la:message
						key="labels.searchoptions_num" arg0="${f:h(num)}" />
			</a></li>
			<li class="list-inline-item"><la:message key="labels.searchoptions_menu_lang" /> <a
				href="#searchOptions" class="badge badge-primary"
				data-toggle="control-options"> <c:if test="${empty lang}">

                                </div>
                                <c:set var="pager" value="${crawlingInfoPager}"
                                       scope="request"/>
                                <c:import url="/WEB-INF/view/common/admin/crud/pagination.jsp"/>
                                <c:if test="${pager.currentPageNumber > pager.allPageCount}">

			ExpectedOutput: "Error: no pods found with selector app.kubernetes.io/name=grafana\n",
			WantException:  true,
		},
		{ // case 7
			Args:           strings.Split("jaeger --browser=false", " "),
			ExpectedOutput: "Error: no pods found with selector app=jaeger\n",
			WantException:  true,
		},
		{ // case 8
			Args:           strings.Split("kiali --browser=false", " "),

==============================================================================*/
#include "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/c_api_unified_experimental.h"
#include "tensorflow/c/eager/unified_api_testutil.h"
#include "tensorflow/c/experimental/ops/math_ops.h"
#include "tensorflow/c/tf_status_helper.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"

void RegisterLoggingDevice(TFE_Context* context, const char* name,
                           bool strict_scope_placement, bool* arrived_flag,

                    <div class="col-md-12">
                        <div
                                class="card card-outline <c:if test="${crudMode == 1 || crudMode == 2}">card-success</c:if><c:if test="${crudMode == 3}">card-danger</c:if><c:if test="${crudMode == 4}">card-primary</c:if>">
                            <div class="card-header">
                                <h3 class="card-title">

        rights in the Source Code Form under this License.

3.3. Distribution of a Larger Work

     You may create and distribute a Larger Work under terms of Your choice,
     provided that You also comply with the requirements of this License for the
     Covered Software. If the Larger Work is a combination of Covered Software
     with a work governed by one or more Secondary Licenses, and the Covered

        recipients' rights in the Source Code Form under this License.

3.3. Distribution of a Larger Work

     You may create and distribute a Larger Work under terms of Your choice,
     provided that You also comply with the requirements of this License for
     the Covered Software. If the Larger Work is a combination of Covered
     Software with a work governed by one or more Secondary Licenses, and the

#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`.