Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
| 35 | |
| 36 | |
| 37 | class DropPath(nn.Module): |
| 38 | """Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks). |
| 39 | """ |
| 40 | def __init__(self, drop_prob=None): |
| 41 | super(DropPath, self).__init__() |
| 42 | self.drop_prob = drop_prob |
| 43 | |
| 44 | def forward(self, x): |
| 45 | return drop_path(x, self.drop_prob, self.training) |
| 46 | |
| 47 | |
| 48 | class Mlp(nn.Module): |