Comments (1)
Hi,
Apologies for the late reply; I just noticed the issues here. For this simple example we don't prune the bias nor do we take it into account for the compression rate. Pruning it would lead to even higher compression rate but would probably also lead to some performance loss.
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Related Issues (11)
- Small error in the kl-divergence HOT 1
- Will you publish the code for the horseshoe prior?
- Anyone encounter loss nan? HOT 2
- Samples of compression for LeNet HOT 10
- KL divergence approx for Linear appears to be wrong HOT 1
- Do you have any tricks to choose threshold of every layer? HOT 1
- Horseshoe Prior HOT 1
- How to use bayesianConv2d? HOT 1
- Missing factor 0.5 in KL-divergence? HOT 3
- padding/string/dilation missing in testing the quantized network. HOT 2
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