# Configuration for predefined models

* Show "Predefined examples"
* select a model from the table, import the model
* Show hardware environment
* import dataset from UX frontend to host
* select dataset on host
* autogenerate a dataset (1.3)
* update configuration according to dataset

# Configuration for imported models

* import a model file (.pb, .ckpt, saved model, etc)
* Select a framework and version(TensorFlow/PyTorch/MxNet/ONNX)
*  Select a  model domain
* Define a prebuild dataloader
* Define input/output
* Define a user defined dataloader
* save
