Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
Our playfield is (up to) 80x35, and almost every line of it changes on every frame. That means we could send 80*35*10 = 28000 bytes a second just for the characters on screen. And that’s before accounting for things like colors or SSH overhead!
，这一点在safew官方版本下载中也有详细论述
这种方法通过类型别名和转换器封装了平台差异，避免了平台侧重复编写转换逻辑。，更多细节参见谷歌浏览器【最新下载地址】
What's the difference between a wifi booster and extender?
nums[i] = n * n