Comments (1)
Hananel-Hazan
commented on May 24, 2024
BindsNET use PyTorch as a back end computation, using GPU is the preferred way to use BindsNET.
However, using the newest version of BindsNET with PyTorch 1.7 may cause some issues, namely some bugs and syntax changes from PyTorch 1.7 to the current version 1.12
Maybe you should use an older version of BindsNET, version that doesn't use poetry and the new pip installation, one that use requirements.txt like BindsNET version 0.2.9
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Related Issues (20)
- Low accuracy HOT 9
- SWAT: A Spiking Neural Network Training Algorithm for Classification Problems HOT 1
- A (serious) bug preventing RL algorithms to work HOT 4
- Has anyone manage to make one of the RL examples to work? HOT 2
- Saving, loading, and performing prediction from supervised examples HOT 1
- 'bindsnet' is not recognized as an internal or external command, operable program or batch file. HOT 2
- How would I run this type of setup? HOT 2
- Reservoir issues！
- Network converted from ANN doesn't retain weights after training? HOT 3
- Question: Can it be used for speech emotion recognition task? HOT 1
- Does the `poisson` function under-produce spikes? HOT 13
- THE DEAD NEURON PROBLEM HOT 14
- ModuleNotFoundError: No module named 'torch._six' HOT 5
- Is SingleEncoder timing-based? HOT 7
- Are learning rules such as gradient descent available? HOT 1
- ModuleNotFoundError: No module named 'torch._six' HOT 4
- Columns and DataType Not Explicitly Set on line 18 of plot_benchmark.py
- How backpropagation work? HOT 6
- Using bindsnet for temperature prediction？ HOT 1
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