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

#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

#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/public/session.h"

namespace tensorflow {
class Device;
class DeviceMgr;
class ServerInterface;
}  // namespace tensorflow

// Internal structures used by the C API. These are likely to change and should
// not be depended on.

struct TF_SessionOptions {

        description="Compare kubernetes yaml files")

    parser.add_argument("orig")
    parser.add_argument("new")
    parser.add_argument("--ignore-namespace", action="store_true", default=False,
                        help="Ignore namespace during comparison")
    parser.add_argument("--ignore-labels", action="store_true", default=False,
                        help="Ignore resource labels during comparison")

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/...

						globalDomainNames, err))
				}
			}
		}
	}

	// Bucket federation is 'true' only when IAM assets are not namespaced
	// per tenant and all tenants interested in globally available users
	// if namespace was requested such as specifying etcdPathPrefix then
	// we assume that users are interested in global bucket support
	// but not federation.

	if podNamespace == "" || podName == "" {
		log.Debugf("Not a kubernetes pod")
		return nil
	}

	for _, excludeNs := range conf.ExcludeNamespaces {
		if podNamespace == excludeNs {
			log.Infof("pod namespace excluded")
			return nil
		}
	}

	// Begin ambient plugin logic
	// For ambient pods, this is all the logic we need to run
	if conf.AmbientEnabled {

#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/platform/intrusive_ptr.h"
#include "tensorflow/core/platform/refcount.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

class FunctionRecord;

// A traced function: this hides the complexity of converting the serialized
// representation between various supported formats e.g. FunctionDef and Mlir
// function.

#include "absl/container/inlined_vector.h"
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Attributes of an op.
class AbstractOpAttrs {
 protected:
  enum AbstractOpAttrsKind { kEager, kTfrt };
  explicit AbstractOpAttrs(AbstractOpAttrsKind kind) : kind_(kind) {}

 public:

kind: WorkloadGroup
metadata:
  name: foo
  namespace: bar
spec:
  metadata:
    annotations: {}
    labels: {}
  template:
    ports: {}
    serviceAccount: vm-serviceaccount
  probe:
    httpGet: