# revision for the operator resources
  revision: ""

  # The number of old ReplicaSets to retain in operator deployment
  deploymentHistory: 10

  # Operator resource defaults
  operator:
    monitoring:
      host: 127.0.0.1
      port: 15014
    resources:
      limits:
        cpu: 200m
        memory: 256Mi
      requests:
        cpu: 50m
        memory: 128Mi

#include "tensorflow/core/lib/monitoring/counter.h"

namespace tensorflow {
namespace tf2xla {
namespace internal {

namespace {

using mlir::Operation;
using mlir::WalkResult;

#define GEN_PASS_DEF_INPUTLOWERINGMETRICSPASS
#include "tensorflow/compiler/mlir/tf2xla/internal/passes/lowering_passes.h.inc"

auto* dynamism_op_counter = tensorflow::monitoring::Counter<1>::New(

      - {{ .Release.Namespace | quote }}
  selector:
    matchLabels:
      app: {{ include "minio.name" . }}
      release: {{ .Release.Name }}
      monitoring: "true"
{{- end }}
{{- if .Values.metrics.serviceMonitor.enabled }}
---
apiVersion: monitoring.coreos.com/v1
kind: Probe
metadata:
  name: {{ template "minio.fullname" . }}-cluster
  {{- if .Values.metrics.serviceMonitor.namespace }}

      containers:
        - name: istio-operator
          image: foo.io/istio/operator:1.2.3
          command:
          - operator
          - server
          - --monitoring-host=127.0.0.1
          - --monitoring-port=15014
          securityContext:
            allowPrivilegeEscalation: false
            capabilities:
              drop:
              - ALL
            privileged: false

      containers:
        - name: istio-operator
          image: foo.io/istio/operator:1.2.3
          command:
          - operator
          - server
          - --monitoring-host=127.0.0.1
          - --monitoring-port=15014
          securityContext:
            allowPrivilegeEscalation: false
            capabilities:
              drop:
              - ALL
            privileged: false

#include "tensorflow/compiler/mlir/tfr/integration/tfr_decompose_ctx.h"
#include "tensorflow/core/lib/monitoring/counter.h"
#include "tsl/platform/statusor.h"

namespace tensorflow {
namespace {

auto* tf_core_op_expansion_graph_counter =
    monitoring::Counter<0>::New("/tensorflow/core/op_expansion/graph_counter",
                                "The number of graphs being op expanded.");

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

#ifdef __cplusplus
extern "C" {
#endif

// Test only exports of the monitoring Cell Reader API which allows tests to
// read current values from streamz counters defined in other modules.
//
// The code under test will have created streamz counters like this:
// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");

#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/versions.pb.h"
#include "tensorflow/core/lib/monitoring/counter.h"
#include "tensorflow/core/lib/monitoring/sampler.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/profile_utils/cpu_utils.h"
#include "tensorflow/core/platform/status.h"

#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/core/lib/monitoring/counter.h"

namespace mlir {
namespace tf2xla {
namespace internal {

auto* has_tpu_partitioned_call_streamz =
    tensorflow::monitoring::Counter<1>::New(
        "/tensorflow/core/tf2xla/internal/inference/tpu_partitioned_call",
        "Whether the model has TPUPartitionedCallOp.",

extensionProviders:
  - name: lightstep
    lightstep:
      service: lightstep.monitoring.svc.cluster.local
      port: 443