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```
class ParametricLIFMultiStep(torch.autograd.Function):
@staticmethod
def forward(ctx, x_seq, v, v_threshold, v_reset, alpha, detach_reset, grad_surrogate_function_index, reciprocal_tau,…
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pytorch版本:2.0.0+cpu
```
#自定义算子
class CRELU(nn.Module): #
@staticmethod
def forward(x):
x = torch.clamp(x, min=0, max=1)
return x
def backward(self, grad_output):
…
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**For faster response**
You can @ the corresponding developers for your issue. Here is the division:
| Features | Developers …
-
**Issue type**
- [ ] Bug Report
- [ ] Feature Request
- [x] Help wanted
- [ ] Other
**SpikingJelly version**
`0.0.0.0.12`
**Description**
Traceback (most recent call last):
File "…
-
Hi,
I am getting below error when I am trying to use SpikingHeidelbergDigits dataloader. The code that I am using for the dataloader is also given below. I see that self.length is not defined for …
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**Issue type**
- [x] Help wanted
**SpikingJelly version**
`latest`
**Description**
基于yolov5最新版本的代码,将其修改为snn版本,优化器保持为原始梯度优化器,在单步模式下模型不收敛,在多步模式下(时间步长设为4)也不收敛,请问这个问题有人碰到过吗?
-
**Issue type**
- [ ] Bug Report
- [ ] Feature Request
- [x] Help wanted
- [ ] Other
**SpikingJelly version**
'latest'
**Description**
Hi,
i'm trying to implement the multi-step mode …
-
我建立了一个测试网络(如下述代码),将其中的nn.ReLU()替换为spikingjelly框架里的IF神经元,然后采用torch.func.jacrev函数计算该网络的雅可比矩阵时,发生如下报错:RuntimeError: In order to use an autograd.Function with functorch transforms (vmap, grad, jvp, jacrev…
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I have checked the documentation and I realized that many surrogate functions exist. My question is, is there anyway to have the one used by SLAYER https://arxiv.org/pdf/1810.08646.pdf ?
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作者您好:
由於您提供的預訓練檔與模型對不上(如 Issue1),我自己將Rain200L丟入訓練,大約訓練了800個epoch,得出來Train_PSNR: 23.9329;SSIM: 0.6986。想請問我是否有遺漏了哪些細節呢?或者我是否應該對哪些超參數進行調整以獲得更好的功效?
非常感謝您的文章
希望能獲得您的回覆