Comments (3)
Range()
only receives int
. You should use int(your float number)
to turn it to int
.
from matrix-capsules-pytorch.
Thank you for your response:)Though I know how to correct,I couldn't get a correct loss.Whether you could run this code again and tell me your result:)
from matrix-capsules-pytorch.
The test accuracy is 0.9889. Here is the checkpoint in the 5th epoch ( I just run it with negligible modification, extract it first and resume from this epoch).
model_4.pth.zip
from matrix-capsules-pytorch.
Related Issues (10)
- Do you succeed in reproducing the author's result on smallNORB? HOT 4
- Isn't here a bug? HOT 1
- Overfitting with r>1 HOT 9
- RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated HOT 2
- r.cuda() ? HOT 1
- some bugs here , I tried your code ,and ..... HOT 6
- there may be some mistakes in your code HOT 1
- Couldn't use full power of CUDA cores HOT 1
- loss nan when r>1 HOT 2
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