ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  // Add a placeholder to the graph.
  auto* placeholder_op = TF_NewAbstractOp(graph_ctx);
  TF_AbstractOpSetOpType(placeholder_op, "Placeholder", status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  TF_AbstractOpSetOpName(placeholder_op, "my_ph", status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

   * Preconditions} class use this formatter, for both of the reasons just discussed.
   *
   * <p><b>Warning:</b> Only the exact two-character placeholder sequence {@code "%s"} is
   * recognized.
   *
   * @param template a string containing zero or more {@code "%s"} placeholder sequences. {@code
   *     null} is treated as the four-character string {@code "null"}.

  TF_OperationDescription* placeholder_desc =
      TF_NewOperation(body.get(), "Placeholder", "Placeholder");
  TF_SetAttrType(placeholder_desc, "dtype", TF_FLOAT);
  TF_Operation* placeholder_op = TF_FinishOperation(placeholder_desc, status);
  if (TF_GetCode(status) != TF_OK) return;
  TF_Output x{placeholder_op, 0};

  TF_OperationDescription* reduce_desc =

   * Preconditions} class use this formatter, for both of the reasons just discussed.
   *
   * <p><b>Warning:</b> Only the exact two-character placeholder sequence {@code "%s"} is
   * recognized.
   *
   * @param template a string containing zero or more {@code "%s"} placeholder sequences. {@code
   *     null} is treated as the four-character string {@code "null"}.

labels.profile=パスワード変更
labels.administration=管理
labels.profile_button=設定
labels.profile.title= 設定
labels.profile.update= 更新
labels.profile.back= 戻る
labels.profile.placeholder_old_password= 現在のパスワード
labels.profile.placeholder_new_password= 新しいパスワード
labels.profile.placeholder_confirm_new_password= 新しいパスワードの確認
labels.top.search=検索
labels.index_title=Fess
labels.index_form_search_btn=検索
labels.index_osdd_title=検索

    return;
  }

  TF_Operation* placeholder_op = TF_GraphOperationByName(
      session->graph,
      tensorflow::strings::StrCat("arg_tensor_enqueue_", tensor_id).c_str());
  if (placeholder_op == nullptr) {
    status->status = tensorflow::errors::Internal(
        "Unable to find the placeholder node as input to enqueue in the TF "
        "graph.");
    return;
  }

labels.administration=Administration
labels.profile_button=Profile
labels.profile.title=Profile
labels.profile.update=Update
labels.profile.back=Back
labels.profile.placeholder_old_password=Current Password
labels.profile.placeholder_new_password=New Password
labels.profile.placeholder_confirm_new_password=Confirm New Password
labels.top.search=Search
labels.index_title=Fess
labels.index_form_search_btn=Search
labels.index_osdd_title=Search

labels.administration=Administration
labels.profile_button=Profile
labels.profile.title=Profile
labels.profile.update=Update
labels.profile.back=Back
labels.profile.placeholder_old_password=Current Password
labels.profile.placeholder_new_password=New Password
labels.profile.placeholder_confirm_new_password=Confirm New Password
labels.top.search=Search
labels.index_title=Fess
labels.index_form_search_btn=Search
labels.index_osdd_title=Search

labels.profile_button	=	Profil
labels.profile.title	=	Profil
labels.profile.update	=	Mise à jour
labels.profile.back	=	Retour
labels.profile.placeholder_old_password	=	Mot de passe actuel
labels.profile.placeholder_new_password	=	nouveau mot de passe
labels.profile.placeholder_confirm_new_password=Confirmer le nouveau mot de passe
labels.top.search=Recherche
labels.index_title=Fess
labels.index_form_search_btn	=	Recherche

  TF_OperationDescription* desc = TF_NewOperation(graph, "Placeholder", name);
  TF_SetAttrType(desc, "dtype", dtype);
  if (!dims.empty()) {
    TF_SetAttrShape(desc, "shape", dims.data(), dims.size());
  }
  *op = TF_FinishOperation(desc, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  ASSERT_NE(*op, nullptr);
}

TF_Operation* Placeholder(TF_Graph* graph, TF_Status* s, const char* name,