I am trying to understand and reverse engineer LSTM in lstm.py. But there 
are many attributes with cryptic names

What do the following names represent?

WGI WGF WGO WIP WFP WOP cix ci gix gi gox go gfx gf
source state output gierr gferr goerr cierr stateerr

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