Ok, thanks! What’s the best way to keep up to date on this?
Ps I thought I would be able to get past this if I could get the quant and dequant tight enough around the network forward pass, so I wrote a function similar to: https://pytorch.org/docs/stable/_modules/torch/quantization/quantize.html#add_quant_dequant 4, where a quantwrapper is added around every submodule to a certain level but this gives me a separate error:
RuntimeError: size mistmatch, m1: [20160 x 224] , m2: [1024 x 100] at /pytorch/aten/src/TH/generic/THTensorMath.cpp:197