├── crlapi           
  ├── benchmark.py    # Creates the data stream, feeds it to the model and evaluates it
  ├── core.py         # Abstract classes for 
  ├── logger.py   
  ├── sl
    ├── architectures
      ├── ...         # NN architectures used in this project
    ├── clmodels
      ├── ...         # Models (e.g. Single, gEns, ..., )
    ├── streams
      ├── ...         # CIFAR and MNIST stream implementatins

    ├── configs
        ├── mnist
           ├── run.py                 # run file
           ├── test_usage_gmoe.yaml   # This is the "gMoE" model
           ├── test_finetune_mlp.yaml # This is the "Single Model"
           ... 
        ├── cifar
           ├── run.py                 # run file
           ├── test_finetune_vgg.yaml # This is the "Single Model"
           ├── test_usage_gmoe.yaml   # This is the "gMoE" model
           ...

PYTHONPATH=./ python configs/mnist/run.py -cn test_usage_gmoe n_megabatches=2 replay=1 clmodel.max_epochs=200