English to Chinese Tech/Engineering IT (Information Technology) AI

About training RNN/LSTM: RNN and LSTM are difficult to train because they require memory-bandwidth-bound computation, which is the worst nightmare for hardware designer and ultimately limits the applicability of neural networks solutions. In short, LSTM require 4 linear layer (MLP layer) per cell to {run at and for each sequence time-step}. Linear layers require large amounts of memory bandwidth to be computed, in fact they cannot use many compute unit often because the system has not enough memory bandwidth to feed the computational units.
简而言之，LSTM需要每个单元4个线性层（MLP层），以便每个顺序时间步运行一次？