Question about .params_size() in model.py
H0bbitBaron opened this issue · 2 comments
Hello @Arturus ! Firstly thank you for sharing your code and congratulations with the first place)
I'm digging code and stuck on this few lines - https://github.com/Arturus/kaggle-web-traffic/blob/master/model.py#L72
Can you please clarify what is params_size? As stated in TF docs it returns "size of the opaque parameter buffer". The hell is this - hyperparameter size/memory limit/batch size that can fit into my particular GPU memory?
And leading question - why do we need to check the values of the two returns of the one same function build_rnn?
Thank you in advance!
Good question. I am also curious. Have you done it?
Model is fixed to work with TF 1.10, params_size magic is redundant for modern Tensorflow and was removed.