Hi all, is there any official implementation/model for supporting model quantization in Pytorch? I mean sth similar to that of TF (https://www.tensorflow.org/performance/quantization)
Cheers
-P
Hi all, is there any official implementation/model for supporting model quantization in Pytorch? I mean sth similar to that of TF (https://www.tensorflow.org/performance/quantization)
Cheers
-P
Shouldn’t this be possible with 1.0 ? I mean, it seems it was advertised like this. Can’t find it though.
This should be possible with glow (haven’t tested it yet)
I want training quantification such as TF as well! Waiting!
I’m still very interested in this. Current state isn’t workable (and doesn’t support all operators).
Has pytorch dropped the idea of allowing speed optimization inside the framework ?