Closed thebug-dev closed 2 months ago
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?
您好,经过仔细阅读您sj论文,问题已解决,感谢!
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
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SpikingJelly version
0.0.0.0.2
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