Update benchmarking branch with lates developments from main. #9
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* scale test on lumi * fix horovod Former-commit-id: 7835603
…ons (jpata#190) * improve visualization * habana vis * update plots * fix horovod training * update click vis * update visualization * swap back y and z --------- Co-authored-by: Javier Duarte <jduarte@ucsd.edu>
* new test with lumi scaling
* new test with lumi scaling Former-commit-id: 88416ea
* updates for habana v1.9.0 image * lint * fix * update * update * try 2-card training * update reqs * update * update docker * update * pre-commit * update * pre-comit * scaling tests * pre-commit * Update requirements.txt * fix * update * restore for tests * Rm yaml * add HABANA card --------- Co-authored-by: Joosep Pata <joosep.pata@gmail.com>
* updates for habana v1.9.0 image * lint * fix * update * update * try 2-card training * update reqs * update * update docker * update * pre-commit * update * pre-comit * scaling tests * pre-commit * Update requirements.txt * fix * update * restore for tests * Rm yaml * add HABANA card --------- Co-authored-by: Joosep Pata <joosep.pata@gmail.com> Former-commit-id: 1b72e1b
* option to pad all events to a constant size * switch to static batching --------- Co-authored-by: Joosep Pata <joosep.pata@kbfi.ee>
* option to pad all events to a constant size * switch to static batching --------- Co-authored-by: Joosep Pata <joosep.pata@kbfi.ee> Former-commit-id: 5c62a95
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* update reqs * Update gaudi-pod-python-v19-1hpu-hvd.yaml * constant batch * fixed batch size * 5 hpus
* update reqs * Update gaudi-pod-python-v19-1hpu-hvd.yaml * constant batch * fixed batch size * 5 hpus Former-commit-id: 675693f
* remove notebook (material now under mdmm.ipynb) * update notebook * update curvature of tracks and particles * plot an oppositely flavored event
* remove notebook (material now under mdmm.ipynb) * update notebook * update curvature of tracks and particles * plot an oppositely flavored event Former-commit-id: 40a1737
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* try to optimize data steps evaluation before training Former-commit-id: 50ea16f
matplotlib 3.8.0, released just now, is incompatible with the latest mplhep.
* torch GNN model
* re-enable cms training
Jpata main
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