请问如果本身使用时序数据，假设数据维度为（B,C,T），还需要额外模拟一个时间T吗，然后在T循环吗？可否出一个时序数据的教程？非常感谢您的回复
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thebug-dev commented
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SpikingJelly version
0.0.0.0.2
Description
...
Minimal code to reproduce the error/bug
import spikingjelly
# ...thebug-dev commented
按照您mnist的教程：
for t in range(args.T):
encoded_img = encoder(img) # 对输入图片进行编码
out_fr += net(encoded_img) # 计算网络输出的累加值
out_fr = out_fr / args.T # 计算平均输出
如果数据集为（B,C,T）是否应该先更换维度为（T,B,C），再循环T，最后对T维度做平均？
thebug-dev commented
您好，经过仔细阅读您sj论文，问题已解决，感谢！
fangwei123456 commented
这个里面应该有一些相关的内容
https://spikingjelly.readthedocs.io/zh-cn/latest/activation_based/basic_concept.html
T放在最后一维会导致计算效率大幅度下降，在SJ框架里面是放到第0维的
fangwei123456 commented