let arguments = (ins
    Arg<TF_Tensor>:$input,

    StrAttr:$log_dir_path,
    StrAttr:$file_name,
    BoolAttr:$enabled,
    StrAttr:$func_name,
    StrAttr:$node_name
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;

            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: NODE_NAME
          valueFrom:
            fieldRef:
              fieldPath: spec.nodeName
        - name: INSTANCE_IP
          valueFrom:
            fieldRef:
              fieldPath: status.podIP

    return result;
  }();
  return global_op_prefixes;
}

// Converts a location to the debug information for the node def.
Status ConvertLocation(mlir::Location inst_loc, llvm::StringRef node_name,
                       NodeDef::ExperimentalDebugInfo* debug_info) {
  mlir::Location unwrapped_inst_loc = GetLocationWithoutOpType(inst_loc);

  if (auto call_site = mlir::dyn_cast<mlir::CallSiteLoc>(unwrapped_inst_loc)) {

          *op_reg_data = tensorflow::OpRegistrationData(opdef);
          return absl::OkStatus();
        });

    // Register the corresponding fake op kernel.
    const char* node_name = opdef.name().c_str();
    const char* op_name = opdef.name().c_str();
    const char* device_name = "CPU";
    static auto fake_compute_func = [](void* kernel, TF_OpKernelContext* ctx) {
    };

  local nodes_stats="${KUBECTL} --kubeconfig '${CERT_DIR}/admin.kubeconfig' get nodes"
  local node_name=$HOSTNAME_OVERRIDE
  local system_node_wait_time=60
  local interval_time=2
  kube::util::wait_for_success "$system_node_wait_time" "$interval_time" "$nodes_stats | grep $node_name"
  if [ $? == "1" ]; then
    echo "time out on waiting $node_name exist"
    exit 1
  fi

  local system_node_ready_time=300

            - name: REPAIR_RUN_AS_DAEMON
              value: "true"
            - name: REPAIR_SIDECAR_ANNOTATION
              value: "sidecar.istio.io/status"
            - name: NODE_NAME
              valueFrom:
                fieldRef:
                  apiVersion: v1
                  fieldPath: spec.nodeName
            - name: GOMEMLIMIT
              valueFrom:

          {{- else }}
            value: istiod{{- if not (eq .Values.revision "") }}-{{ .Values.revision }}{{- end }}.{{ .Values.global.istioNamespace }}.svc:15012
          {{- end }}
          - name: NODE_NAME
            valueFrom:
              fieldRef:
                apiVersion: v1
                fieldPath: spec.nodeName
          - name: POD_NAME
            valueFrom:
              fieldRef:

)";
    const tf2xla::Variable& var = config.variable(i - config.feed_size());
    rewrites.emplace_back("{{MAYBE_CONST}}", var.readonly() ? "const " : "");
    *methods += RewriteWithName(
        var.name().empty() ? var.node_name() : var.name(), code, rewrites);
  }
  return absl::OkStatus();
}

// Generate shape infos for args (inputs).
Status GenArgShapeInfos(const xla::ProgramShapeProto& ps, string* infos) {

          {{- else }}
            value: istiod{{- if not (eq .Values.revision "") }}-{{ .Values.revision }}{{- end }}.{{ .Values.global.istioNamespace }}.svc:15012
          {{- end }}
          - name: NODE_NAME
            valueFrom:
              fieldRef:
                apiVersion: v1
                fieldPath: spec.nodeName
          - name: POD_NAME
            valueFrom:
              fieldRef:

      raise ValueError(
          'UnitWiseQuantizationSpec must contain at least one unit.'
      )

    for unit in unitwise_spec.unit:
      if not unit.op_type and not unit.node_name:
        raise ValueError('Either `op_type` or `node_name` must be specified.')

    _populate_quantization_component_spec(unitwise_spec.quantization_method)

    component_specs = (