Comments (2)
Thank you for mentioning the errors in the code,
We will definitely take a look into it
There are some implementation errors like mentioned in the #1
This code was a last minute one, and distributed only for the purpose of research not reproducing the results.
The original code is currently under construction,
please be patient, the final version will be released soon after we get publication accpet in the journal.
Wish you a great day.
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Looking at figure 3 in the paper: https://arxiv.org/pdf/2003.12346.pdf
The out at here: https://github.com/aa-samad/conv_snn/blob/master/CIFAR10-DVS/network.py#L80
should be a convolution over synapse output not the first convolution output.
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Related Issues (15)
- implementation errors HOT 2
- RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead. HOT 4
- NameError: name 'lr_scheduler' is not defined HOT 1
- about seq5 in synthetic dataset HOT 3
- Thanks for sharing the code of this paper. I am still wondering if current code is the latest for the paper?
- about the hybrid training method proposed in the paper HOT 2
- @meltingCat from torch.optim import lr_scheduler
- It looks like the latest code hasn't been uploaded yet
- file path for record_info HOT 1
- Residual and downsample HOT 1
- First convolution is on input instead of synapse output HOT 2
- Typos in code HOT 1
- Parameter or weight for high accuracy HOT 1
- NMNIST
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