SRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.
SRU 是一个循环单元可以运行 10 倍速度相比 cuDNN LSTM，在很多的任务上没有失去准确率。
Average processing time of LSTM, conv2d and SRU, tested on GTX 1070
For example, the figure above presents the processing time of a single mini-batch of 32 samples. SRU achieves 10 to 16 times speed-up compared to LSTM, and operates as fast as (or faster than) word-level convolution using conv2d.