To run the benchmark script, first set up your environment.
(You may wish to set up Python the requirements in a virtual environment using pipenv or virtualenv)
pip install tensorflowjs
Once the development environment is prepared, execute the build script from the root of tfjs-layers.
./scripts/build-benchmarks-demo.sh
The script will construct a number of Keras models in Python and benchmark their training using the TensorFlow backend. When it is complete, it will bring up a local HTTP server. Navigate to the local URL specified in stdout to bring up the benchmarks page UI. There will be a button to begin the JS side of the benchmarks. Clicking the button will run through and time the same models, now running in the browser.
Once complete, the models' fit() and predict() costs are listed in a table.
Prese Ctl-C to end the http-server process.