Find bottlenecks in any complex model within minutes, with exact parameters, even for dynamically instantiated graphs.
- Produces interactive pie charts and allows easy navigation through complex hierarchy of ops.
- Compared to Tensorflow timeline, aggregates across op type and tensor dimensions to allow targeted tuning of top-k kernels.
- Chart generation is based on Krona tools: https://github.com/marbl/Krona/wiki/KronaTools
- For examples of generated interactive pie charts (html5) see /results
- Simply ./run_me.sh in reproduce_results/
- See results in pie_chart.html and data.tsv ./results_summary/
- To add to your existing training setup - see module comment section in tensorscope.py
Update 09/2018 The project is in the process of moving to currently private https://github.com/ROCmSoftwarePlatform/TensorScope Coming soon - bug fixes and changes are to be published here as well