| 32 | |
| 33 | class SepConvGRU(nn.Module): |
| 34 | def __init__(self, hidden_dim=128, input_dim=192+128): |
| 35 | super(SepConvGRU, self).__init__() |
| 36 | self.convz1 = nn.Conv2d(hidden_dim+input_dim, hidden_dim, (1,5), padding=(0,2)) |
| 37 | self.convr1 = nn.Conv2d(hidden_dim+input_dim, hidden_dim, (1,5), padding=(0,2)) |
| 38 | self.convq1 = nn.Conv2d(hidden_dim+input_dim, hidden_dim, (1,5), padding=(0,2)) |
| 39 | |
| 40 | self.convz2 = nn.Conv2d(hidden_dim+input_dim, hidden_dim, (5,1), padding=(2,0)) |
| 41 | self.convr2 = nn.Conv2d(hidden_dim+input_dim, hidden_dim, (5,1), padding=(2,0)) |
| 42 | self.convq2 = nn.Conv2d(hidden_dim+input_dim, hidden_dim, (5,1), padding=(2,0)) |
| 43 | |
| 44 | |
| 45 | def forward(self, h, x): |