delete reinterpret_cast<::tensorflow::Thread*>(thread);
}

void* TF_LoadSharedLibrary(const char* library_filename, TF_Status* status) {
  void* handle = nullptr;
  TF_SetStatus(status, TF_OK, "");
  ::tensorflow::Set_TF_Status_from_Status(
      status, ::tensorflow::Env::Default()->LoadDynamicLibrary(library_filename,
                                                               &handle));
  return handle;
}

// function. Otherwise return nullptr in result and error Status from the
// function.
//
// If `library_filename` has already been loaded, we return a cached handle.
// Device and Kernels/Ops are registered as globals when a library is loaded
// for the first time.
TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {

// Waits for the given thread to finish execution, then deletes it.
TF_CAPI_EXPORT extern void TF_JoinThread(TF_Thread* thread);

// \brief Load a dynamic library.
//
// Pass "library_filename" to a platform-specific mechanism for dynamically
// loading a library. The rules for determining the exact location of the
// library are platform-specific and are not documented here.
//

    TF_ImportGraphDefOptions* opts, unsigned char enable);

// Load the library specified by library_filename and register the pluggable
// device and related kernels present in that library. This function is not
// supported on embedded on mobile and embedded platforms and will fail if
// called.
//
// Pass "library_filename" to a platform-specific mechanism for dynamically

  void SchedClosureAfter(int64_t micros,
                         absl::AnyInvocable<void()> closure) override {}

  absl::Status LoadDynamicLibrary(const char* library_filename,
                                  void** handle) override {
    return absl::OkStatus();
  }

  absl::Status GetSymbolFromLibrary(void* handle, const char* symbol_name,

// TF_Library holds information about dynamically loaded TensorFlow plugins.
typedef struct TF_Library TF_Library;

// Load the library specified by library_filename and register the ops and
// kernels present in that library.
//
// Pass "library_filename" to a platform-specific mechanism for dynamically
// loading a library. The rules for determining the exact location of the

                c_outputs, target_oper_names, nullptr, status);
}

TF_Library* TF_LoadLibrary(const char* library_filename, TF_Status* status) {
  TF_Library* lib_handle = new TF_Library;
  status->status = tensorflow::LoadDynamicLibrary(
      library_filename, &lib_handle->lib_handle, &lib_handle->op_list.data,
      &lib_handle->op_list.length);
  if (!status->status.ok()) {
    delete lib_handle;