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You can run the included examples (CNN or PICAE on 3D data, and KRR on 2D data). To copy the examples, type:
sapsan get_examples
This will create a folder ./sapsan_examples with appropriate example jupyter notebooks and GUI. For starters, to launch a CNN example:
jupyter notebook ./sapsan_examples/cnn_example.ipynb
In order to try out Sapsan's GUI, start a streamlit instance to open in a browser. After the examples have been compied into your working directory as described above, you will be able to find the GUI example. The entry point:
streamlit run ./sapsan_examples/GUI/st_intro.py
The scripts for the pages you see (welcome and examples) are located in the subsequent directory: ./sapsan_examples/GUI/pages/.
If you want to build your own demo, then look into st_cnn3d.py to get started. Ideally, you would only need to import your Estimator, EstimatorConfig, EstimatorModel and adjust the run_experiment() function, which has a nearly identical setup to a standard Sapsan's jupyter notebook interface.
The data for the CNN and KRR examples has been sourced from JHTDB. Specifically the Forced MHD Dataset (10243) has been used as a starting point.
| Data | Description |
|---|---|
| u_dim128_2d.h5 | velocity field sampled down to [128,128,128] and using the 1st slice |
| u_dim32_fm15.h5 | velocity field sampled down to [32,32,32], and spectrally filtered down to 15 modes |