#include <memory>

#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/experimental/ops/math_ops.h"
#include "tensorflow/c/tf_tensor.h"

namespace tensorflow {
namespace gradients {

using namespace std;

// ================== Helper functions =================

// Fills data with values [start,end) with given step size.
void Range(vector<int32_t>* data, int32_t start, int32_t end,

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: {{...

nction(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||C],d=ue.call(e,"type")?e.type:e,h=ue.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||C,3!==n.nodeType&&8!==n.nodeType&&!Dt.test(d+ce.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[ce.expando]?e:new ce.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||...

	if !cfg.Enabled {
		return nil, nil
	}
	cli, err := clientv3.New(cfg.Config)
	if err != nil {
		return nil, err
	}
	cli.KV = namespace.NewKV(cli.KV, cfg.PathPrefix)
	cli.Watcher = namespace.NewWatcher(cli.Watcher, cfg.PathPrefix)
	cli.Lease = namespace.NewLease(cli.Lease, cfg.PathPrefix)
	return cli, nil
}

func parseEndpoints(endpoints string) ([]string, bool, error) {

#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/util/saved_tensor_slice_util.h"
#include "tensorflow/core/util/tensor_bundle/naming.h"
#include "tensorflow/core/util/tensor_bundle/tensor_bundle.h"

namespace tensorflow {
namespace checkpoint {

class TensorSliceReader;

CheckpointReader::CheckpointReader(const string& filename, TF_Status* status)
    : reader_(nullptr),
      v2_reader_(nullptr),
      var_to_shape_map_(nullptr),

      : 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,

    #     [app-solution]/source/[app-solution].sln
    #     [app-solution]/source/[app-project(top-namespace)]/[part-namespace]/AllCommon
    #     [app-solution]/source/[app-project(top-namespace)]/[part-namespace]/BsBhv
    #     [app-solution]/source/[app-project(top-namespace)]/[part-namespace]/...
    #     [app-solution]/source/[app-project(top-namespace)]/Resources/...
    #
    #; generateOutputDirectory = ../src/main/java

on the following DNS name from within your cluster: {{ template "minio.fullname" . }}.{{ .Release.Namespace }}.svc.cluster.local To access MinIO from localhost, run the below commands: 1. export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "release={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/...

on the following DNS name from within your cluster: {{ template "minio.fullname" . }}.{{ .Release.Namespace }}.svc.cluster.local To access MinIO from localhost, run the below commands: 1. export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "release={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/...

on the following DNS name from within your cluster: {{ template "minio.fullname" . }}.{{ .Release.Namespace }}.svc.cluster.local To access MinIO from localhost, run the below commands: 1. export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "release={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/...