Comments (4)
This is really implementation specific. Different TensorFlow versions?
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Tensorflow versions are different, I can try to use same version.
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Just realized it works fine if we don't use --force_reload
, which seems to want to generate the minitree twice, and fails on the second time. So hints towards an issue in initialization, rather than TF itself.
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force_reload also introduces erros in notebook, without it, I generated the minitrees for 100 background files and it's fine. Sometimes minitrees failed to be generated, but can be regenerated if rerun. This is probably related to the mysterious problem in hax we saw long time ago, but it could be another one.
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Related Issues (20)
- LargestPeakProperties does not return position HOT 1
- Auto bypass dask when loading single dataset HOT 2
- remove weird index column in load_single_dataset?
- Hax.runs.tags_selection no longer supports exclude-only HOT 3
- TailCut tree no longer accessible if make_minitrees false HOT 2
- MC minitree generation (with Corrections minitree) HOT 13
- Extending Corrections Minitrees to Work with MC simulations HOT 4
- invalid value encountered in sqrt with new 3D FDC
- Need multiple cS1 variables corresponding to each position? HOT 5
- Strange muon_veto_trigger nonsense HOT 3
- Need proper corrections in DoubleScatter treemaker HOT 2
- HAX failed to init if no MONGO_PASSWORD is set
- Hax fails to create MC minitree DoubleScatter HOT 1
- Corrections fails with no reconstructed position HOT 2
- TensorFlow binary CPU warning
- hax.cuts.apply_lichen reports lichen version as nan for some cuts HOT 3
- Making minitree for Monte Carlo data HOT 1
- Issue and pull request templates
- when loading data: ValueError: Metadata mismatch found in `from_delayed` HOT 5
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