| 23 | |
| 24 | |
| 25 | class Mlp(nn.Module): |
| 26 | def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): |
| 27 | super().__init__() |
| 28 | out_features = out_features or in_features |
| 29 | hidden_features = hidden_features or in_features |
| 30 | self.fc1 = nn.Linear(in_features, hidden_features) |
| 31 | self.act = act_layer() |
| 32 | self.fc2 = nn.Linear(hidden_features, out_features) |
| 33 | self.drop = nn.Dropout(drop) |
| 34 | |
| 35 | def forward(self, x): |
| 36 | x = self.fc1(x) |
| 37 | x = self.act(x) |
| 38 | x = self.drop(x) |
| 39 | x = self.fc2(x) |
| 40 | x = self.drop(x) |
| 41 | |
| 42 | return x |
| 43 | |
| 44 | |
| 45 | class Mlp_ln(nn.Module): |