Quantizing Mobilenet

[skvenka5]

I am trying to quantize mobilenet model in the same how you have implemented resnet (https://github.com/eladhoffer/convNet.pytorch). To accomplish this I added the following lines in models/mobilenet .py

from .modules.quantize import QConv2d, QLinear, RangeBN torch.nn.Linear = QLinear torch.nn.Conv2d = QConv2d torch.nn.BatchNorm2d = RangeBN

But, on training the loss is going to nan. It will be of great help if you could provide some inputs on this.

Thanks in advance

regards Shreyas

[talenz]

Quantizing on ResNet-18 also goes NaN