return static_cast<TF_Operation*>(static_cast<void*>(node));
}

void TF_EnableXLACompilation(TF_SessionOptions* options, unsigned char enable) {
  tensorflow::ConfigProto& config = options->options.config;
  auto* optimizer_options =
      config.mutable_graph_options()->mutable_optimizer_options();
  if (enable) {
    optimizer_options->set_global_jit_level(tensorflow::OptimizerOptions::ON_1);

              "id": "byName",
              "options": "Time"
            },
            "properties": [
              {
                "id": "custom.hidden",
                "value": true
              }
            ]
          },
          {
            "matcher": {
              "id": "byName",
              "options": "Value #A"
            },
            "properties": [

}

// ExpirationOptions represents object options for object expiration at objectLayer.
type ExpirationOptions struct {
	Expire bool
}

// TransitionOptions represents object options for transition ObjectLayer operation
type TransitionOptions struct {
	Status         string
	Tier           string
	ETag           string

	TransitionComplete = "complete"
	// TransitionPending - transition is yet to be attempted
	TransitionPending = "pending"
)

// Action represents a delete action or other transition
// actions that will be implemented later.
type Action int

//go:generate stringer -type Action $GOFILE

const (
	// NoneAction means no action required after evaluating lifecycle rules
	NoneAction Action = iota

      "type": "row"
    },
    {
      "gridPos": {
        "h": 6,
        "w": 24,
        "x": 0,
        "y": 1
      },
      "id": 19,
      "links": [],
      "options": {
        "code": {
          "language": "plaintext",
          "showLineNumbers": false,
          "showMiniMap": false
        },

// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.  Only one "target" type
// should be set.
message ContainerResourceMetricSource {
  // name is the name of the resource in question.

// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.  Only one "target" type
// should be set.
message ContainerResourceMetricSource {
  // name is the name of the resource in question.

		ctxt.CertsDir = cf.CertsDir
		ctxt.certsDirSet = true
	}

	if cf.Options.FTP.Address != "" {
		ctxt.FTP = append(ctxt.FTP, fmt.Sprintf("address=%s", cf.Options.FTP.Address))
	}
	if cf.Options.FTP.PassivePortRange != "" {
		ctxt.FTP = append(ctxt.FTP, fmt.Sprintf("passive-port-range=%s", cf.Options.FTP.PassivePortRange))
	}

	if cf.Options.SFTP.Address != "" {

          "unit": "short"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 8,
        "w": 12,
        "x": 0,
        "y": 1
      },
      "id": 2,
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {
          "mode": "multi",

void TFE_ContextOptionsSetConfig(TFE_ContextOptions* options, const void* proto,
                                 size_t proto_len, TF_Status* status) {
  TF_SetConfig(&options->session_options, proto, proto_len, status);
}

void TFE_ContextOptionsSetAsync(TFE_ContextOptions* options,
                                unsigned char enable) {
  options->async = enable;
}

void TFE_ContextOptionsSetDevicePlacementPolicy(