How to quantize only specific layers

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.

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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
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Just to be clear, this would be exactly like this:

m.conv1.qconfig = qconfig

right?