An architecture module is responsible for providing a coherent set of features and:

- Provides a set of APIs and services for use from outside the module.
- Has a private implementation.
- Is owned by a single team. A team may own multiple architecture modules.

The modules are arranged into several different "Gradle platforms".
A Gradle platform is a logical distribution that provides support for a specific kind of automation.

};

struct TF_ImportGraphDefOptions {
  tensorflow::ImportGraphDefOptions opts;

  // Backing memory for TensorId fields in opts.
  // TODO(skyewm): it'd be better if ImportGraphDefOptions owned this.
  std::vector<std::string> tensor_id_data;
};

struct TF_ImportGraphDefResults {
  std::vector<TF_Output> return_tensors;
  std::vector<TF_Operation*> return_nodes;

}

// BucketAlreadyOwnedByYou already owned by you.
type BucketAlreadyOwnedByYou GenericError

func (e BucketAlreadyOwnedByYou) Error() string {
	return "Bucket already owned by you: " + e.Bucket
}

// BucketNotEmpty bucket is not empty.
type BucketNotEmpty GenericError

func (e BucketNotEmpty) Error() string {

   *
   * <p>Public suffixes are a proper superset of {@linkplain #isRegistrySuffix() registry suffixes}.
   * The list of public suffixes additionally contains privately owned domain names under which
   * Internet users can register subdomains. An example of a public suffix that is not a registry
   * suffix is {@code blogspot.com}. Note that it is true that all public suffixes <i>have</i>

// "fifo_queue_enqueue_<tensor_id>", to be executed by this API call. It reads
// from a placeholder node "arg_tensor_enqueue_<tensor_id>".
//
// `tensor` is still owned by the caller. This call will be blocked if the queue
// has reached its capacity, and will be unblocked when the queued tensors again
// drop below the capacity due to dequeuing.
//

     *
     * @param sessionId the session ID
     * @param userId the user ID for ownership verification (can be null)
     * @return true if the session was found, owned by the user, and cleared; false otherwise
     */
    public boolean clearSession(final String sessionId, final String userId) {
        final ChatSession session = findSession(sessionId);
        if (session == null) {

// Fetches the return outputs requested via
// TF_ImportGraphDefOptionsAddReturnOutput(). The number of fetched outputs is
// returned in `num_outputs`. The array of return outputs is returned in
// `outputs`. `*outputs` is owned by and has the lifetime of `results`.
TF_CAPI_EXPORT extern void TF_ImportGraphDefResultsReturnOutputs(
    TF_ImportGraphDefResults* results, int* num_outputs, TF_Output** outputs);

    AtomicBoolean interrupted = new AtomicBoolean();
    // we need to use another thread because it will be interrupted and thus using
    // the current one, owned by JUnit, would make the test fail
    Thread thread =
        new Thread(
            () -> {
              terminated.set(shutdownAndAwaitTermination(service, 1L, SECONDS));

    AtomicBoolean interrupted = new AtomicBoolean();
    // we need to use another thread because it will be interrupted and thus using
    // the current one, owned by JUnit, would make the test fail
    Thread thread =
        new Thread(
            () -> {
              terminated.set(shutdownAndAwaitTermination(service, 1L, SECONDS));

  if (input_arg.number_attr().empty()) {
    status->status = tensorflow::errors::NotFound(
        op_name, " does not have number_attr() defined.");
    return nullptr;
  }

  // The returned string is owned by OpRegistry, so liveness is not a concern.
  return input_arg.number_attr().c_str();
}

int TF_OpIsStateful(const char* op_type, TF_Status* status) {
  const tensorflow::OpRegistrationData* op_reg_data;