docs: public static Model copyWeightsToModel(Model model, Map<String, KerasLayer> kerasLayers)
              throws InvalidKerasConfigurationException {
          /* Get list if layers from model. */
          Layer[] layersFromModel;
          if (model instanceof MultiLayerNetwork)
              layersFromModel = ((MultiLayerNetwork) model).getLayers();
          else
              layersFromModel = ((ComputationGraph) model).getLayers();
  
          /* Iterate over layers in model, setting weights when relevant. */
          Set<String> layerNames = new HashSet<>(kerasLayers.keySet());
          for (org.deeplearning4j.nn.api.Layer layer : layersFromModel) {
              String layerName = layer.conf().getLayer().getLayerName();
              if (!kerasLayers.containsKey(layerName))
                  throw new InvalidKerasConfigurationException(
                          "No weights found for layer in model (named " + layerName + ")");
              kerasLayers.get(layerName).copyWeightsToLayer(layer);
              layerNames.remove(layerName);
          }
  
          for (String layerName : layerNames) {
              if (kerasLayers.get(layerName).getNumParams() > 0)
                  throw new InvalidKerasConfigurationException(
                          "Attemping to copy weights for layer not in model (named " + layerName + ")");
          }
          return model;
      }