in opacus_lab/models/GPT2/model/feedforward.py [0:0]
def __init__(self, activation="gelu"):
super().__init__()
if activation == "gelu":
self.activation = self.gelu_new
elif activation == "sigmoid":
self.sigmoid = nn.Sigmoid()
self.activation = lambda x: x * self.sigmoid(x)