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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
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
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