How to quantize weights in pointwise convolution layer in MobileNet V2, not all the entire model’s parameters. I searched a lot, but most of the source code quantized the entire model’s parameters.
you can set qconfig only for the sub module that you want to quantize. e.g.
class M(torch.nn.Module): def __init__(self): self.conv1 = ... self.conv2 = ... m = M() m.conv1 = qconfig # if you only want to quantize conv1
Just to be clear, this would be exactly like this:
m.conv1.qconfig = qconfig