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plasma-python
examples
mpi_learn.py
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Commits on Mar 12, 2021
Add -i, --input_file optional flag for overriding conf.yaml location
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Commits on Mar 11, 2021
Apply Janghaeng's patchfile manually
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Commits on Nov 7, 2019
Make it explicit that diagnostic within train_epoch() refers to local progress
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Commits on Nov 6, 2019
Call new MPI init fn in mpi_learn.py; call print_unique() about signals
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Suppress duplicate output from 2x calls to Normalizer.train()
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Always set recompute_normalization to False inside Normalizer after compute
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Commits on Nov 5, 2019
Try ensuring that computing normalizer is only performed by master rank
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Suppress duplicated stdout output from normalize.py
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Suppress duplicated stdout output from guarantee_preprocessed()
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Extract all MPI variables to separate, global/shared module
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Prepare to call print_unique() or analog in normalize.py
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Re-add newline to end of "normalization" stdout
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Use two different fns for controlling MPI printint to stdout
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Attempt dedpulication of code in mpi_learn.py from mpi_runner.py
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Commits on Oct 23, 2019
Revert change from 67f2cdbe63
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Commits on Oct 22, 2019
Pass allow_pickle=True to final np.savez() call in MPI script
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Commits on Oct 9, 2019
Merge branch 'master' into jdev
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Commits on Sep 23, 2019
Apply PEP8 styling to examples/*.py
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Commits on Mar 19, 2018
supporting logging of val and test roc values for various T_min_warn times
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Commits on Feb 9, 2018
fixed bug where all workers had the same numpy random seed (it gets reset to 0 in preprocessor). Thus need to explicitly give each worker a different random seed right before training.
Julian Kates-Harbeck
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Commits on Dec 26, 2017
PYTHONHASHSEED is not needed with hashlb md5
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Commits on Nov 20, 2017
Use str not int when setting env during runtime
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Disable hash randomisation when labeling preprocessing and normalization folders with hash (otherwise recomputes indefinitely in some cases)
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Commits on Nov 12, 2017
Get number of GPUs per node from the config
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Commits on Nov 10, 2017
Merge branch 'master' of https://github.com/PPPLDeepLearning/plasma-python
Julian Kates-Harbeck
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remove sys.exit for jenkins
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more changes due to cutting
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Commits on Oct 13, 2017
Add a dedicated driver script for augmented learning, worry less about default values of augmentation specific parameters
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Commits on Oct 12, 2017
Adjust import statements
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Split normalization into raw normalization and augmentation stage, introduce is_inference flag
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Commits on Sep 21, 2017
Modify logic for results folder: create if not exists
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Commits on Aug 8, 2017
Tab-space compatbility
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Commits on Jun 30, 2017
Better: throwing sys.exit(1) should suffice
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Add jenkins validation output
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Commits on Jun 6, 2017
automated preprocessing. Preprocessed shotlists for every data set are now saved to disk, so one does not have to re-run preprocessing unless the raw .txt shotlist files or all_signals are changed
Julian Kates-Harbeck
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