Create a copy of mlperf_results_paths.json.template at mlperf_results_paths.json with valid paths to the results repos, set up the Python virtual env
python3 -m venv venv; source venv/bin/activate; pip install --upgrade pip; pip install -r requirements.txt
and run the MLPerfHPCResultsVisualizer.ipynb in Jupyter (the benchmark to visualize can be chosen on the top of the notebook).
Currently supported benchmarks includeHPC-v0.7/{Cosmoflow,DeepCAM}. The notebook with figures for a specific benchmark can be found in the corresponding branch.