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

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

namespace tensorflow {

std::string AbstractTensorHandle::DebugString() const {
  PartialTensorShape shape;
  absl::Status s = Shape(&shape);
  std::string shape_string;
  if (!s.ok()) {

# Set up kiali
{
helm3 template kiali-server \
  --namespace istio-system \
  --version 2.0.0 \
  --set deployment.image_version=v2.0 \
  --include-crds \
  kiali-server \
  --repo https://kiali.org/helm-charts \
  -f "${WD}/values-kiali.yaml"
} > "${ADDONS}/kiali.yaml"

# Set up prometheus
helm3 template prometheus prometheus \
  --namespace istio-system \
  --version 25.28.0 \

            Node parent = namespaceContext;
            String namespace = null;

            if ("xml".equals(prefix)) {
                namespace = "http://www.w3.org/XML/1998/namespace";
            } else {
                int type;
                while (null != parent && null == namespace

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/tape.h"
#include "tensorflow/core/common_runtime/eager/attr_builder.h"

namespace tensorflow {
namespace gradients {

// =============== Experimental C++ API for computing gradients ===============

// Sample gradient function:
//
// class AddGradientFunction : public GradientFunction {
//  public:

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

#ifndef TENSORFLOW_C_C_OP_REQUIRES_H_
#define TENSORFLOW_C_C_OP_REQUIRES_H_

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

namespace tensorflow {

// Convenience macros for asserting and handling exceptional conditions, for
// C structs, including `TF_OpKernelContext`, `TF_Status`, etc. This is analogus

      : AbstractTensorHandle(kind) {}
  ~ImmediateExecutionTensorHandle() override {}
};

namespace internal {
struct ImmediateExecutionTensorHandleDeleter {
  void operator()(ImmediateExecutionTensorHandle* p) const {
    if (p != nullptr) {
      p->Unref();
    }
  }
};
}  // namespace internal

using ImmediateTensorHandlePtr =
    std::unique_ptr<ImmediateExecutionTensorHandle,

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

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

namespace tensorflow {

std::string ImmediateExecutionTensorHandle::DebugString() const {
  PartialTensorShape shape;
  std::string shape_string;
  if (Shape(&shape).ok()) {
    shape_string = shape.DebugString();
  } else {

ServiceAccount metadata: name: {{ include "minio.serviceAccountName" . | quote }} namespace: {{ .Release.Namespace | quote }} {{- end -}} minio/templates/servicemonitor.yaml {{- if .Values.metrics.serviceMonitor.enabled }} apiVersion: monitoring.coreos.com/v1 kind: ServiceMonitor metadata: name: {{ template "minio.fullname" . }} {{- if .Values.metrics.serviceMonitor.namespace }} namespace: {{ .Values.metrics.serviceMonitor.namespace }} {{- end }} labels: app: {{ template "minio.name" . }} chart: {{ template...

ServiceAccount metadata: name: {{ .Values.serviceAccount.name | quote }} namespace: {{ .Release.Namespace | quote }} {{- end -}} minio/templates/servicemonitor.yaml {{- if .Values.metrics.serviceMonitor.enabled }} apiVersion: monitoring.coreos.com/v1 kind: ServiceMonitor metadata: name: {{ template "minio.fullname" . }} {{- if .Values.metrics.serviceMonitor.namespace }} namespace: {{ .Values.metrics.serviceMonitor.namespace }} {{- end }} labels: app: {{ template "minio.name" . }} chart: {{ template...

  optional string nodeName = 10;

  // Host networking requested for this carp. Use the host's network namespace.
  // If this option is set, the ports that will be used must be specified.
  // Default to false.
  // +k8s:conversion-gen=false
  // +optional
  optional bool hostNetwork = 11;

  // Use the host's pid namespace.
  // Optional: Default to false.
  // +k8s:conversion-gen=false
  // +optional