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View Code? Open in Web Editor NEWA Pytorch implementation of "Matrix Capsules with EM routing"
A Pytorch implementation of "Matrix Capsules with EM routing"
Thanks for your work! However, when I set r = 2, the loss turned into nan. Have you met this problem? How to fix it?
Hi, @shzygmyx
I am a contributor to another matrix CapsNet in TensorFlow. Are you able to reproduce the result suggested by the author of the paper?
when Debug at here y_range = (max(floor((j-self.K)/self.stride)+1,0),min(j//self.stride+1,width_out))
will print error TypeError: range() integer start argument expected, got float.
Thanks for your kind help!
When trying your demo on my 1050 Ti, this model only reaches 30% usage of CUDA cores and runs really slow. Meantime, another traditional CapsNet can reach 100% usage. Does this mean a performance problem of your model?
Hello. I'm trying to overfit to a toy batch with r=2. With batchsize >1 I am unable to overfit with r>1, though everything works with r=1. In particular, the network outputs the same results for all images in the batch.
Matrix-Capsules-pytorch/Capsules.py
Line 86 in bc9e26d
pose's shape is (b, self.B, H, W), how can it be reshaped into ( b, 16, self.B, H, W) in the next line????? why does no one point this out? no error reported????
Hi,
I am on windows 10 with python 3 and conda install. I have just cloned and ran as suggested and I get this error RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated. Is this something you may have seen?
Thanks.
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