Very simple multi-layer perceptron (also called FFN)
| 17 | |
| 18 | |
| 19 | class MLP(nn.Module): |
| 20 | """ Very simple multi-layer perceptron (also called FFN)""" |
| 21 | |
| 22 | def __init__(self, input_dim, hidden_dim, output_dim, num_layers): |
| 23 | super().__init__() |
| 24 | self.num_layers = num_layers |
| 25 | h = [hidden_dim] * (num_layers - 1) |
| 26 | self.layers = nn.ModuleList(nn.Linear(n, k) for n, k in zip([input_dim] + h, h + [output_dim])) |
| 27 | |
| 28 | def forward(self, x): |
| 29 | for i, layer in enumerate(self.layers): |
| 30 | x = F.relu(layer(x)) if i < self.num_layers - 1 else layer(x) |
| 31 | return x |
| 32 | |
| 33 | class Detector(nn.Module): |
| 34 | def __init__(self, num_classes, pre_trained=None, det_token_num=100, backbone_name='tiny', init_pe_size=[800,1344], mid_pe_size=None, use_checkpoint=False): |