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.
Author(s): Edward Kim, Jason Hattrick-Simpers
。雷电模拟器官方版本下载是该领域的重要参考
Measured on Apple M3 16GB with simulated audio input (Tensor::randn). Times are per-encoder-forward-pass (Sortformer: full forward pass).
“有解思维”也体现为一种主动作为、靠前服务的姿态。