std::logic_error when copying model

[CyberShadow]

If I take the lstm_electricity_consumption.cpp example and modify it like

diff --git a/ml/test.cpp b/ml/test.cpp
index f7ce54b..53e2255 100644
--- a/ml/test.cpp
+++ b/ml/test.cpp
@@ -208,12 +208,12 @@ int main()
   // Create test sets for one-step-ahead regression.
   CreateTimeSeriesData(testData, testX, testY, rho);
 
+  // RNN regression model.
+  RNN<MeanSquaredError, HeInitialization> model(rho);
+
   // Only train the model if required.
   if (bTrain || bLoadAndTrain)
   {
-    // RNN regression model.
-    RNN<MeanSquaredError, HeInitialization> model(rho);
-
     if (bLoadAndTrain)
     {
       // The model will be trained further.
@@ -263,9 +263,6 @@ int main()
                 EarlyStopAtMinLoss());
 
     cout << "Finished training." << endl;
-    cout << "Saving Model" << endl;
-    data::Save(modelFile, "LSTMUnivar", model);
-    cout << "Model saved in " << modelFile << endl;
   }
 
   // NOTE: the code below is added in order to show how in a real application
@@ -275,9 +272,7 @@ int main()
   // before.  In your own application you may of course load any dataset.
 
   // Load RNN model and use it for prediction.
-  RNN<MeanSquaredError, HeInitialization> modelP(rho);
-  cout << "Loading model ..." << endl;
-  data::Load(modelFile, "LSTMUnivar", modelP);
+  auto modelP = model;
   arma::cube predOutP;
 
   // Get predictions on the test data points.

then the program crashes with

Finished training...........................................................................................] 6% - ETA: 0s - loss: 0.00364827
terminate called after throwing an instance of 'std::logic_error'
  what():  arma::memory::acquire(): requested size is too large
Aborted (core dumped)