根据原文,我们实现FFN,需要两个线性变换,并在其中插入一次ReLU激活函数,那这样就很清晰明了了。 3.2 初始化 按照我们最先思考的,写好传入的参数,计算出均值和方差 def __init__(self, d_model, hidden, drop_prob=0.1): super().__init__() # 初始化两个线性层 self.linear1 = nn.Linear(d_model,...
In this paper, we propose the first hardware accelerator for two key components, i.e., the multi-head attention (MHA) ResBlock and the position-wise feed-forward network (FFN) ResBlock, which are the two most complex layers in the Transformer. Firstly, an efficient method is introduced to...