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We have started to write SpikingJelly API for running SNNs on Loihi.
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# **Read before creating a new issue**
- Users who want to use SpikingJelly should first be familiar with the usage of PyTorch.
- If you do not know much about PyTorch, we recommend that the user…
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**Issue type**
- [ ] Bug Report
- [ ] Feature Request
- [X] Help wanted
- [] Other
**Description**
Hi @fangwei123456. First of all, congratulate you for the great work you have done with S…
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直接运行DSQN项目时(未做任何修改)如题报错
虽然自己可以手动强制转化为tensor,但我不确定是否存在底层函数的bug
感谢作者查看,期待回复
**SpikingJelly version**
`0.0.0.0.14`
**Description**
spikingjelly/activation_based/neuron.py", line 830
Ru…
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# **Read before creating a new issue**
- Users who want to use SpikingJelly should first be familiar with the usage of PyTorch.
- If you do not know much about PyTorch, we recommend that the user…
-
**Issue type**
- [ ] Bug Report
- [ ] Feature Request
- [x] Help wanted
- [ ] Other
**SpikingJelly version**
`0.0.0.0.14`
**Description**
Hi! First of all, thanks for your work. I ha…
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from spikingjelly.activation_based import neuron
class SpikeTrace_LIF_Neuron(neuron.LIFNode):
def __init__(self, tau: float = math.exp(1.0)/(math.exp(1.0)-1), decay_input: bool = False, v_thre…
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我按照0.0.0.0.14中的STDP教程,与梯度下降混合训练,构建VGG11识别cifar10数据集
在训练过程中发现有些层的 delta_w 过大,有些层比较小,请问这种情况是正常的嘛,还是我的代码配置可能存在问题?
kkaqs updated
9 months ago
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您好,在最近我尝试运行了stdp_trace.py文件,但是出现报错:
Traceback (most recent call last):
File "spikingjelly\spikingjelly\activation_based\examples\stdp_trace.py", line 30, in
learner = learning.STDPLearner(st…
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I am trying out this code (https://github.com/fangwei123456/spikingjelly/blob/master/spikingjelly/activation_based/ann2snn/examples/cnn_mnist.py). The only difference is I have changed the CNN archite…