Method
__init__
(self, num_inputs, num_classes, dim_hidden)
Source from the content-addressed store, hash-verified
| 26 | |
| 27 | class FCNet(nn.Module): |
| 28 | def __init__(self, num_inputs, num_classes, dim_hidden): |
| 29 | super(FCNet, self).__init__() |
| 30 | self.inc_bias = False |
| 31 | self.class_emb = nn.Linear(dim_hidden, num_classes, bias=self.inc_bias) |
| 32 | |
| 33 | self.feats = nn.Sequential(nn.Linear(num_inputs, dim_hidden), |
| 34 | nn.ReLU(inplace=True), |
| 35 | ResLayer(dim_hidden), |
| 36 | ResLayer(dim_hidden), |
| 37 | ResLayer(dim_hidden), |
| 38 | ResLayer(dim_hidden)) |
| 39 | |
| 40 | def forward(self, x): |
| 41 | loc_emb = self.feats(x) |
Tested by
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