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Hello everyone,
while running tutorial on classification using dcll (second tutorial), I have encountered the following error during training very simple two layer mlp:
~/some_python_examples/VT_SNN/auxillary_files/../../pytorch-lif-autograd/decolle_public/decolle/base_model.py in forward(self, Sin_t)
210 #print('Sin_t:', Sin_t)
211
--> 212 Q = self.beta * state.Q + self.tau_s * Sin_t
213 P = self.alpha * state.P + self.tau_m * state.Q # TODO check with Emre: Q or state.Q?
214 R = self.alpharp * state.R - state.S * self.wrp
RuntimeError: CUDA error: an illegal memory access was encountered
I googled possible solutions, but with no success. Is there anything I am missing while setting DECOLLE?
Thanks,
Tas
The text was updated successfully, but these errors were encountered:
I remember having these issues when having problems. I updated this version with the latest version. Please check if you have the same error now. If you're following the tutorial on pytorch-lif-autograd, note that there was a typo in the MLP parameters which prevented learning.
Hello everyone,
while running tutorial on classification using dcll (second tutorial), I have encountered the following error during training very simple two layer mlp:
I googled possible solutions, but with no success. Is there anything I am missing while setting DECOLLE?
Thanks,
Tas
The text was updated successfully, but these errors were encountered: