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The updated code seems faulty

See original GitHub issue

The changes introduced by f41aa32 (updated KL) result in a size mismatch error, e.g. in the Bayesian_CNN_Detailed notebook.

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<timed exec> in <module>()

PyTorch-BayesianCNN/Image Recognition/utils/BayesianModels/BayesianAlexNet.py in probforward(self, x)
     42             if hasattr(layer, 'convprobforward') and callable(layer.convprobforward):
     43                 x, _kl, = layer.convprobforward(x)
---> 44                 kl += _kl
     45 
     46             elif hasattr(layer, 'fcprobforward') and callable(layer.fcprobforward):

RuntimeError: The size of tensor a (11) must match the size of tensor b (5) at non-singleton dimension 3

Simply summing the _kl variable resolves this error. But I am unable to train a model on MNIST, while I was able to get a working MNIST classifier using the previous version of the code (not on CIFAR, though, see #8).

Issue Analytics

State:
Created 4 years ago
Comments:6 (1 by maintainers)

Top GitHub Comments

2reactions

lemonahmascommented, Jun 17, 2019

The accuracy is still very low as you can see from the image above, this result comes from the latest code.

2reactions

aadityachapagaincommented, Jun 6, 2019

Same problem here anybody know how to solve this issue?

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