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Merge jpata/master into master #3

Merged
merged 169 commits into from
Sep 3, 2021
Merged

Merge jpata/master into master #3

merged 169 commits into from
Sep 3, 2021

Commits on Jul 16, 2021

  1. feat: Add hyperparameter optimization 

    Run hyperparameter optimization using the new hypertune
command in the pipeline script.
    @erwulff
    erwulff committed Jul 16, 2021
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Commits on Jul 22, 2021

  1. feat: Add distributed training capability in hypertune

    @erwulff
    erwulff committed Jul 22, 2021
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  2. pytorch update (training+LRP)

    @farakiko
    farakiko committed Jul 22, 2021
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Commits on Jul 23, 2021

  1. fixed confusion matrix

    @farakiko
    farakiko committed Jul 23, 2021
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  2. Merge branch 'hypertune' of github.com:erwulff/particleflow into hype… 

    …rtune
    @erwulff
    erwulff committed Jul 23, 2021
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  3. feat: keras-tuner chief and tuner scripts 

    Run the chief script on the chief node and run the
tuner script once on each worker node in order to perform
a distributed hyperparameter search with keras-tuner. You
need to pass appropriate IPs and ports to each script.
    @erwulff
    erwulff committed Jul 23, 2021
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  4. feat: Distributed training on Flatiron Institute HPC site 

    Slurm scripts to perform distributed training, hyperparameter
optimization and more on Flatiron Institute's HPC system.
    @erwulff
    erwulff committed Jul 23, 2021
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  5. feat: Distributed training on JUWELS Booster 

    Slurm scripts to perform distributed training, hyperparameter
optimization and more on the JUWELS Booster in
Jülich Supercomputing Centre at Forschungszentrum Jülich.
    @erwulff
    erwulff committed Jul 23, 2021
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  6. small bug

    @farakiko
    farakiko committed Jul 23, 2021
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  7. fix pic scales

    @farakiko
    farakiko committed Jul 23, 2021
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  8. plotting cosmetics

    @farakiko
    farakiko committed Jul 23, 2021
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  9. typos

    @farakiko
    farakiko committed Jul 23, 2021
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  10. one function to plot all heatmaps

    @farakiko
    farakiko committed Jul 23, 2021
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  11. better path location

    @farakiko
    farakiko committed Jul 23, 2021
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Commits on Jul 26, 2021

  1. feat: Choose optimizer in config file 

    Choose between Adam, AdamW and SGD. Also specify optimizer
hyperparameters in the config file.
    @erwulff
    erwulff committed Jul 26, 2021
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  2. feat: Hypertune parameters in config, LR scheduling during hypertuning

    @erwulff
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  3. feat: Add Random Search and Bayesian Optimization to hypertune

    @erwulff
    erwulff committed Jul 26, 2021
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  4. chore: add hypertune settings to config files

    @erwulff
    erwulff committed Jul 26, 2021
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Commits on Jul 27, 2021

  1. removed numba and removed hooks.py test file

    @farakiko
    farakiko committed Jul 27, 2021
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  2. better device definitions

    @farakiko
    farakiko committed Jul 27, 2021
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  3. make it clear the difference between gravnet.py and gravnet_LRP.py

    @farakiko
    farakiko committed Jul 27, 2021
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  4. fixed typo

    @farakiko
    farakiko committed Jul 27, 2021
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  5. rename training, removed unnecessary files

    @farakiko
    farakiko committed Jul 27, 2021
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  6. add multi-gpu flag for data_preprocessing

    @farakiko
    farakiko committed Jul 27, 2021
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Commits on Jul 28, 2021

  1. feat: Add early stopping to hypertune 

    Also
  - simplify JUWELS and Flatiron slurm scripts
  - turn off histogram writing in CustomTensorboard
    when hypertuning
    @erwulff
    erwulff committed Jul 28, 2021
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Commits on Aug 1, 2021

  1. add single class recall, detailed plots

    @jpata
    jpata committed Aug 1, 2021
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  2. added learnable kernel

    @jpata
    jpata committed Aug 1, 2021
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  3. up

    @jpata
    jpata committed Aug 1, 2021
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  4. update cls mult

    @jpata
    jpata committed Aug 1, 2021
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  5. apply exp

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    jpata committed Aug 1, 2021
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Commits on Aug 3, 2021

  1. feat: Choose if to draw events during training or not 

    Also, history json files are written by CustomTensorBoard
instead of CustomCallback since Hypertune should write the
history files but don't need the rest of CustomCallback.
    @erwulff
    erwulff committed Aug 3, 2021
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  2. chore: CustomTensorBoard saves history files in a subfolder

    @erwulff
    erwulff committed Aug 3, 2021
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  3. fix: get history path from tensorboard callback in train scripts

    @erwulff
    erwulff committed Aug 3, 2021
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  4. fix: convert logs dict values to float

    @erwulff
    erwulff committed Aug 3, 2021
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  5. feat: Add raytune command to pipeline 

    Perform hyperparameter optimization using Ray Tune. Support
for multi-worker search on HPC systems not yet implemented.
    @erwulff
    erwulff committed Aug 3, 2021
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  6. feat: Distributed hyperparameter search on Flatiron with Ray Tune

    @erwulff
    erwulff committed Aug 3, 2021
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  7. chore: Use prepare_callbacks() in raytune command

    @erwulff
    erwulff committed Aug 3, 2021
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  8. chore: add ray to github python installations

    @erwulff
    erwulff committed Aug 3, 2021
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  9. chore: Add ray[tune] to github tests python deps

    @erwulff
    erwulff committed Aug 3, 2021
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Commits on Aug 5, 2021

  1. feat: Choose between ASHA and Hyperband in raytune config

    @erwulff
    erwulff committed Aug 5, 2021
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  2. feat: Add expdecay_decay_steps and layernorm to raytune params

    @erwulff
    erwulff committed Aug 5, 2021
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  3. feat: Add batch_size to raytune hyperparameters

    @erwulff
    erwulff committed Aug 5, 2021
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Commits on Aug 12, 2021

  1. updates

    @jpata
    jpata committed Aug 12, 2021
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Commits on Aug 13, 2021

  1. remove additive momentum

    @jpata
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Commits on Aug 15, 2021

  1. up

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Commits on Aug 16, 2021

  1. update adv training

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Commits on Aug 17, 2021

  1. up

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Commits on Aug 18, 2021

  1. up

    @jpata
    jpata committed Aug 18, 2021
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  2. fix multi gpu training

    @jpata
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Commits on Aug 19, 2021

  1. remove outdated code

    @jpata
    jpata committed Aug 19, 2021
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  2. readd previous net

    @jpata
    jpata committed Aug 19, 2021
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  3. fix

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    jpata committed Aug 19, 2021
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  4. readd

    @jpata
    jpata committed Aug 19, 2021
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  5. add missing import

    @jpata
    jpata committed Aug 19, 2021
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  6. revert local test

    @jpata
    jpata committed Aug 19, 2021
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  7. fix

    @jpata
    jpata committed Aug 19, 2021
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  8. fix activation

    @jpata
    jpata committed Aug 19, 2021
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  9. revert cms-gnn-dense parameters

    @jpata
    jpata committed Aug 19, 2021
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  10. use additive regression

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Commits on Aug 20, 2021

  1. up

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  2. moomentum layers explicit

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Commits on Aug 21, 2021

  1. big cleanup

    @jpata
    jpata committed Aug 21, 2021
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  2. fix

    @jpata
    jpata committed Aug 21, 2021
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  3. purge PFNet

    @jpata
    jpata committed Aug 21, 2021
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  4. update

    @jpata
    jpata committed Aug 21, 2021
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  5. many preds

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    jpata committed Aug 21, 2021
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  6. cleanup scripts

    @jpata
    jpata committed Aug 21, 2021
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  7. remove timing

    @jpata
    jpata committed Aug 21, 2021
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  8. run evaluation with a possibly changed path

    @jpata
    jpata committed Aug 21, 2021
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  9. update

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    jpata committed Aug 21, 2021
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  10. unify configs

    @jpata
    jpata committed Aug 21, 2021
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  11. update docs

    @jpata
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Commits on Aug 22, 2021

  1. improve encoding

    @jpata
    jpata committed Aug 22, 2021
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  2. up

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  3. add residual plots

    @jpata
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Commits on Aug 23, 2021

  1. separate energy graph layer

    @jpata
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  2. separate energy graph layer

    @jpata
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  3. just use the same cg layers

    @jpata
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  4. adding code for the optimized knn

    @farakiko
    farakiko committed Aug 23, 2021
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  5. fixing optimized model definition

    @farakiko
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  6. testing average inference time more precisely

    @farakiko
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  7. test optimized knn inference time

    @farakiko
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  8. Merge branch 'master' of https://github.com/jpata/particleflow

    @farakiko
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  9. organized the pipeline

    @farakiko
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  10. uncomment args

    @farakiko
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  11. fix github check/build

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Commits on Aug 24, 2021

  1. feat: log nvidia-smi info to csv file

    @erwulff
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  2. feat: plot GPU util from nvidia-smi csv-file

    @erwulff
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  3. readd comet

    @jpata
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  4. updat epochs

    @jpata
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  5. comet optional

    @jpata
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  6. fix model saving

    @jpata
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  7. fix: bug in plotting of GPU util

    @erwulff
    erwulff committed Aug 24, 2021
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  8. update delphes

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  9. up

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Commits on Aug 25, 2021

  1. work on improving energy regression

    @jpata
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  2. added customization function

    @jpata
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  3. better name

    @jpata
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  4. fix import

    @farakiko
    farakiko committed Aug 25, 2021
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  5. commenting the optimized code

    @farakiko
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  6. bug in the path

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  7. fixed module import in graph_data_delphes

    @farakiko
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  8. small edit

    @farakiko
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  9. big cleanup

    @farakiko
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  10. lower case lrp + fix local_test.sh

    @farakiko
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  11. Rename LRP_clf_gpu.py to lrp_clf_gpu.py

    @farakiko
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  12. Rename LRP_reg_gpu.py to lrp_reg_gpu.py

    @farakiko
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  13. Rename LRP_pipeline.py to lrp_pipeline.py

    @farakiko
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  14. attempt to rename LRP to lrp through a tmp

    @farakiko
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  15. renaming directory from LRP to lrp

    @farakiko
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  16. Rename LRP_pipeline.py to lrp_pipeline.py

    @farakiko
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  17. adding lrp to the quick testing bash script

    @farakiko
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  18. fix name of model

    @farakiko
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  19. oops

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Commits on Aug 26, 2021

  1. feat: Add logging of GPU power 

    In addition, the nvidia-smi plot script is modified
to also plot the power.
    @erwulff
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  2. fix energy regression

    @jpata
    jpata committed Aug 26, 2021
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  3. feat: Add plotting of GPU memory usage from nvidia-smi log

    @erwulff
    erwulff committed Aug 26, 2021
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  4. layernorm

    @jpata
    jpata committed Aug 26, 2021
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Commits on Aug 27, 2021

  1. added gen training

    @jpata
    jpata committed Aug 27, 2021
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  2. Merge branch 'jpata_dev_aug21' of https://github.com/jpata/particleflow… 

    … into jpata_dev_aug21
    @jpata
    jpata committed Aug 27, 2021
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  3. more configurable options, use main pars for pipeline test

    @jpata
    jpata committed Aug 27, 2021
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  4. fix paths for pipeline

    @jpata
    jpata committed Aug 27, 2021
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  5. fix paths once again

    @jpata
    jpata committed Aug 27, 2021
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  6. fix

    @jpata
    jpata committed Aug 27, 2021
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  7. fix

    @jpata
    jpata committed Aug 27, 2021
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  8. up

    @jpata
    jpata committed Aug 27, 2021
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  9. feat: Produce Ray analysis plots in raytune command

    @erwulff
    erwulff committed Aug 27, 2021
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  10. fix: Add check for empty CUDA_VISIBLE_DEVICES

    @erwulff
    erwulff committed Aug 27, 2021
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  11. fix num events

    @jpata
    jpata committed Aug 27, 2021
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  12. change epochs

    @jpata
    jpata committed Aug 27, 2021
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  13. add microsecond for simultaneous start

    @jpata
    jpata committed Aug 27, 2021
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  14. added additional energy graph layer

    @jpata
    jpata committed Aug 27, 2021
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  15. Merge branch 'jpata_dev_aug21' of github.com:jpata/particleflow into … 

    …jpata_dev_aug21
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Commits on Aug 28, 2021

  1. custom train step for regression

    @jpata
    jpata committed Aug 28, 2021
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Commits on Aug 29, 2021

  1. up

    @jpata
    jpata committed Aug 29, 2021
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  2. option to split energy regression classwise

    @jpata
    jpata committed Aug 29, 2021
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  3. fix

    @jpata
    jpata committed Aug 29, 2021
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  4. fix

    @jpata
    jpata committed Aug 29, 2021
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Commits on Aug 30, 2021

  1. remove log

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    jpata committed Aug 30, 2021
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Commits on Aug 31, 2021

  1. final update

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    jpata committed Aug 31, 2021
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  2. Merge pull request #76 from jpata/jpata_dev_aug21 

    Learnable kernel, more monitoring plots for TF training
    @jpata
    jpata authored Aug 31, 2021
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  3. update cms-dev model

    @jpata
    jpata committed Aug 31, 2021
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  4. update cms-dev

    @jpata
    jpata committed Aug 31, 2021
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  5. fix: raytune-analysis plots include val_loss

    @erwulff
    erwulff committed Aug 31, 2021
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  6. remove lrp part from local script

    @farakiko
    farakiko committed Aug 31, 2021
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  7. add dist activation as configurable

    @jpata
    jpata committed Aug 31, 2021
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Commits on Sep 1, 2021

  1. more monitoring

    @jpata
    jpata committed Sep 1, 2021
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  2. Merge branch 'raytune' into upstream/master

    @erwulff
    erwulff committed Sep 1, 2021
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  3. Merge pull request #73 from faroukmokhtar/master 

    Pytorch training updated + LRP
    @jpata
    jpata authored Sep 1, 2021
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  4. fix: add missing settings to delphes.yaml

    @erwulff
    erwulff committed Sep 1, 2021
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  5. feat: add option to resume a raytune run

    @erwulff
    erwulff committed Sep 1, 2021
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  6. lsh configurable

    @jpata
    jpata committed Sep 1, 2021
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Commits on Sep 2, 2021

  1. added LSH scanning

    @jpata
    jpata committed Sep 2, 2021
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  2. up

    @jpata
    jpata committed Sep 2, 2021
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  3. epoch one-based

    @jpata
    jpata committed Sep 2, 2021
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  4. optimization with cls only

    @jpata
    jpata committed Sep 2, 2021
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  5. Merge branch 'jpata_sept21' of https://github.com/jpata/particleflow … 

    …into jpata_sept21
    @jpata
    jpata committed Sep 2, 2021
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  6. mpnn optimization

    @jpata
    jpata committed Sep 2, 2021
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  7. up

    @jpata
    jpata committed Sep 2, 2021
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  8. up

    @jpata
    jpata committed Sep 2, 2021
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Commits on Sep 3, 2021

  1. feat: limit raytune pending trials SLURM_NNODES

    @erwulff
    erwulff committed Sep 3, 2021
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  2. Merge pull request #77 from erwulff/raytune 

    Raytune
    @jpata
    jpata authored Sep 3, 2021
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  3. add charge to clic pf candidate

    @jpata
    jpata committed Sep 3, 2021
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  4. added cms gen config

    @jpata
    jpata committed Sep 3, 2021
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  5. Merge remote-tracking branch 'origin/master' into jpata_sept21

    @jpata
    jpata committed Sep 3, 2021
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  6. fix bin size

    @jpata
    jpata committed Sep 3, 2021
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  7. fixes for gun sample training

    @jpata
    jpata committed Sep 3, 2021
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  8. make sure batch size is propagated

    @jpata
    jpata committed Sep 3, 2021
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  9. Merge pull request #78 from jpata/jpata_sept21 

    LSH configurable, update gun sample training [TF]
    @jpata
    jpata authored Sep 3, 2021
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