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I try to replicate your code over Cifar100 and Cifar10. But I can not achieve acceptable accuracy. Did you perform the spike-element-wise-ResNet over Cifar100?
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### 你当前使用的Elog版本
0.14.1
### Elog配置文件
```javascript
module.exports = {
write: {
platform: 'notion',
notion: {
token: process.env.NOTION_TOKEN,
databaseId: process.env.NOTI…
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训练中出现如下问题,疑似是尺度错误,但不知道是不是环境安装or torch版本的问题,
```python
[0]
===> Start Epoch 1 End Epoch 501
===> Loading datasets
0%| …
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作者 您好
![image](https://github.com/fangwei123456/Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron/assets/126577004/f3a9240d-d3db-421d-8263-ec282a21b065)
![image](https://github.com/fangwei123456/P…
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目前,我们正在与和灵汐合作进行有关脉冲神经网络的研究工作。为了在灵汐类脑计算机上使用spikingjelly框架开发SNN,我们正在进行spikingjelly与灵汐类脑计算机的适配工作。
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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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Hi~在解决这个问题时,参照了https://github.com/fangwei123456/spikingjelly/issues/46
我的环境是:pytorch=1.8.2+cu111,RTX3080,win10
我通过git clone,并且git reset来安装spikingjelly
在python setup.py install出现问题:
C:\Users\BAAI\a…
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Hi, Thanks for your excellent work.
I want to give it a try, but the dataset link seems to have some issues with access.
And also the requirements.txt might miss`spikingjelly`.
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我期望网络的input类型为complex64,似乎使用cupy训练只支持float和half
当我关闭cupy训练,报错如下,似乎surrogate的前向heaviside阶跃函数也并不支持complex64
不知道是否我的理解正确,异或还有其他的方向支持输入类型为complex64
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Hi,
I am always getting the following error from neuronal_reset. Is there any clue?
/spikingjelly/activation_based/neuron.py", line 198, in neuronal_reset
RuntimeError: The following operation f…