ResetOutputValues();
  outputs_ = outputs;
  output_values_.resize(outputs_.size());
}

void CSession::SetTargets(std::initializer_list<TF_Operation*> targets) {
  targets_.clear();
  for (TF_Operation* t : targets) {
    targets_.emplace_back(t);
  }
}

void CSession::Run(TF_Status* s) {
  if (inputs_.size() != input_values_.size()) {
    ADD_FAILURE() << "Call SetInputs() before Run()";

    /**
     * Target indices.
     */
    protected String[] targetIndices;

    /**
     * Creates a new instance of FesenClient.
     * Initializes the address and target indices from system properties.
     */
    public FesenClient() {
        address = System.getProperty(HTTP_ADDRESS, "localhost:9200").trim();
        final String targets = System.getProperty(TARGET_INDICES);

          "values": false
        },
        "showPercentChange": false,
        "text": {},
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,

  // once unless the tape is persistent) and produces the gradient of the target
  // tensors with respect to the source tensors. The output gradients are used
  // if not empty and not null. The result is populated with one tensor per
  // target element.
  absl::Status ComputeGradient(
      AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> targets,
      absl::Span<AbstractTensorHandle* const> sources,

  void SetOutputs(std::initializer_list<TF_Operation*> outputs);
  void SetOutputs(const std::vector<TF_Output>& outputs);
  void SetTargets(std::initializer_list<TF_Operation*> targets);

  void Run(TF_Status* s);

  void CloseAndDelete(TF_Status* s);

  TF_Tensor* output_tensor(int i) { return output_values_[i]; }

  TF_Session* mutable_session() { return session_; }

Bucket events can be published to the following targets:

| Supported Notification Targets    |                             |                                 |
| :-------------------------------- | --------------------------- | ------------------------------- |

                // output related parameters
                /*outputs*/ &output, /*output_values*/ &ret,
                /*noutputs*/ 1,
                /*targets*/ nullptr, /*ntargets*/ 0,
                /*run_metadata*/ nullptr, status);
  if (VLOG_IS_ON(1) && status->status.ok()) {
    tensorflow::Tensor tensor;
    if (tensorflow::TF_TensorToTensor(ret, &tensor).ok()) {

	vars := mux.Vars(r)
	key := vars["key"]

	var subSys, target string
	{
		ws := strings.SplitN(key, madmin.SubSystemSeparator, 2)
		subSys = ws[0]
		if len(ws) == 2 {
			if ws[1] == "" {
				target = madmin.Default
			} else {
				target = ws[1]
			}
		}
	}

	subSysConfigs, err := cfg.GetSubsysInfo(subSys, target, true)
	if err != nil {

- Admin UI: http://localhost:8080/admin/ (default username/password is admin/admin)

![Admin UI](https://fess.codelibs.org/_images/fess_admin_dashboard.png)

You can register crawling targets in the Admin UI on the (Web, File, Data Store) crawler configuration pages, and then start the Crawler manually on the [Scheduler page](https://fess.codelibs.org/15.5/admin/scheduler-guide.html).

)

// Common http query params S3 API
const (
	VersionID = "versionId"

	PartNumber = "partNumber"

	UploadID = "uploadId"
)

// http headers sent to webhook targets
const (
	// Reports the version of MinIO server
	MinIOVersion             = "x-minio-version"
	WebhookEventPayloadCount = "x-minio-webhook-payload-count"