Comments (1)
I have used such an implementation for the PrimaryCaps layer in my repository (https://github.com/gchochla/caps/blob/master/caps/layers.py#L33). I had to use an extra variable to separate them for the output of the layer though.
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Related Issues (20)
- Syntax error: invalid syntax on line 65 HOT 1
- AttributeError: module 'torch.sparse' has no attribute 'torch' HOT 1
- Just a quick question on the dynamic routing's similarity measurment HOT 1
- Why dim=2 here? I guess the softmax is taken over all capsules in the layer above, so shouldn't that be dim=0? HOT 4
- Deviations of this implementation from the original paper HOT 4
- How should I set num_route_nodes? HOT 2
- Can it support pytorch version 0.4 or latest?
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- No such file or directory
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- What are the core code of capsule network?
- RuntimeError: Input type (torch.cuda.ByteTensor) and weight type (torch.cuda.FloatTensor) should be the same
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