* "started Han's generator"

* "added Javier's generator"

* "data gen, into train.py"

* " data gen implement"

* "rm files"

* "rm files"

* 3 data gens

* update train.py; 3 generators

* 3 generators; working

* 1 generator class,subsets defined by list files, valid and test names swapped

* small fixes

* added data location for when in l1metml-pod; added keras module to setup file

* added job script

* fixed job yml file

* edited batch commands

* edited conda setup sh

* re-edited conda setup sh

* edit dockerfile

* re-update docker file

* import tensorflow.keras in loss

* edit batch size

* ditto

* added extra script enabling either data gerneration from root or conversion into h5

* small errors fixed

* ditto

* ditto

* ditto

* changed epoch number

* ditto

* 1 epoch test

* small fix

* ditto

* ditto

* ditto

* change indicies for puppi_met calc

* trying to figure out puppi_met

* test data for root training

* added ak dependency

* small error fix

* ditto

* ditto

* ditto

* ditto

* update data gen and utils to compute puppi met correctly

* one training file

* small fixes

* ditto

* ditto

* ditto

* ditto

* ditto

* ditto

* ditto

* ditto

* ditto

* ditto

* ditto

* ditto

* ditto

* change n epochs 30

* change n epochs 35

* change n epochs back to 100

* change n epochs 35

* 100 epochs

* 20 epochs

* Javier's comments

* added / in output path for plots

* removed import utils function

* addded quantized model in models.py

* removed several arguments to layers; quantized model now runs

* This should be the mergable branch

* updated readme with --quantized flag

* ditto

* added / to paths

* fixed h5 training

* added back check if converted fiels exist

* removed qkeras import and dependencies

* 1 epoch

* fixed os.path.isfile()

* changed comments

* cleanup

* in/out paths fixed

* small updates to readme and arguments help

* kernel/bias qunatizers fixed

* fixed issues with quantizers

* h5 puppi appears to be working

* custom_loss for mode 1, changed prefactor to 100

* larger batch for h5s

* h5 batch 1024

* custom loss for h5, 2048 batch

* changed #layers to 3

* job script update

* small error fixed

* ditto

* added comment in models

* no change

* added functions to Write_MET_binned_histogram.py

* with_bias=True

* added quantized varibable reference in h5 workflow

* with bias = false

* import qkeras

* import qkeras.layers

* removed import QGlobalAveragePooling2D

* testing qunatized model

* ditto

* ditto

* ditto

* update to plots

* trying quantized_relu

* trying 16,6 bits for qmodel

* trying alpha=10

* trying alpha=auto

* create branch

* changed pdgIds

* 2_layers

* hyperparameters32-16-8

* trying 2layers

* ditto

* cleaning up pdgIds

* added quantized model

* qkeras imports

* trying alpha=10 on h5 quantized

* trying emb_out=2

* ditto

* model compression: nlayers, embout, pdgId; quantized model 16,6 works

* added avg resolutions calculations

* trying hyperparams 16-32

* small fix

* hyperparams 32-16

* hyperparams 32-64

* hyperparams 8-32

* hyperparams 32-64

* updates to resolution plotting/ model compression

* small fix

* small fix

* small fix

* added back in pt and phi as inputs

* small fix

* small fix

* small fix

* small fix

* issue with root inputs

* updating models.py

* features=6

* features=6

* Javier's changes

* fixed syntax error

* uncommented training calls

* ditto

* input dim for root model

* update Qmodel workflow

* update Qmodel workflow

* fixed bias layer

* small fix

* fix to concatenate layer

* fix to multiply layer

* fix to multiply layer

* trying 16-32 hyperparams

* Obligitory commit. This branch should be mergable

* trying 8,52 units

* trying 16,32 units

* trying 52,52 units

* cleanup

* Javier's changes. PR should be meragable.

* put units variable inside model functins

* added units as training argument; error calculation is 1/rootN, average res difference calculation mistake fixed

* update readME and small fix

* fixed bug with feature arrays, changes to res plots/calculations

* small units bug fix

* updates to res plots

* small fix

* obligatory commit

* obligatory

* commit for PR

* code is ready for pr

* response correction bug fix

* autopep8 and rootN calculation

* update readme

* ready for master merge

* removed pxpy as dense layer inputs + small syntax fixes in plots

* autopep8

Co-authored-by: Han Slade Hiller <hhiller@lxplus790.cern.ch>
Co-authored-by: Han Slade Hiller <hhiller@lxplus7117.cern.ch>
Co-authored-by: Han Slade Hiller <hhiller@lxplus7100.cern.ch>
Co-authored-by: Han Slade Hiller <hhiller@lxplus723.cern.ch>
Co-authored-by: hanhiller <hanhiller@me.clm>
Co-authored-by: Javier Duarte <jduarte@ucsd.edu>