Hi,
I want to implement memory monger for pytorch. Any suggestions on how to do this ?
My question is, this memory monger method is suitable for symbolic graphs like the ones in Theano and Tensorflow, but the graphs in pytorch are dynamic, so can this method be applied for pytorch ?
PS: Link for 1) memory monger paper and 2)implementation based on mxnet framework.

https://arxiv.org/pdf/1604.06174.pdf 29
https://github.com/dmlc/mxnet-memonger 11