return ML_TRAIN_LAYER_TYPE_CONCAT;
case TRAINING_LAYER_TYPE_MULTIOUT:
return ML_TRAIN_LAYER_TYPE_MULTIOUT;
+ case TRAINING_LAYER_TYPE_L2NORM:
+ return ML_TRAIN_LAYER_TYPE_PREPROCESS_L2NORM;
+ case TRAINING_LAYER_TYPE_CENTROID_KNN:
+ return ML_TRAIN_LAYER_TYPE_CENTROID_KNN;
default:
return ML_TRAIN_LAYER_TYPE_UNKNOWN;
}
LOGI("layer property size : %zu", property.options.size());
- for (auto opt : property.options) {
+ for (auto& opt : property.options) {
LOGI("Set %s property", opt.c_str());
int ret = ml_train_layer_set_property(static_cast<ml_train_layer_h>(layer->layer_handle),