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 }} {{ else }} namespace: {{ .Release.Namespace | quote }} {{- end }} labels: app: {{...

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...

#include <vector>

#include "absl/strings/str_join.h"
#include "include/dlpack/dlpack.h"  // from @dlpack
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

void TestHandleFromDLPack(TF_Status* status, TFE_Context* ctx,
                          std::vector<int64_t> shape,
                          std::vector<int64_t> strides) {
  size_t num_elements = 1;

#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;
  int expected_num_outputs = -1;
};

namespace tracing {

// =============================================================================

#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:

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...

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()) {

#include <cstdint>

#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

TFE_MonitoringCounter0* CreateCounter0(const char* counter_name);
TFE_MonitoringCounter1* CreateCounter1(const char* counter_name,
                                       const char* label);

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

#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