(self)
| 150 | |
| 151 | class VAEDecoderWrapperSingle(nn.Module): |
| 152 | def __init__(self): |
| 153 | super().__init__() |
| 154 | self.decoder = VAEDecoder3d() |
| 155 | mean = [ |
| 156 | -0.7571, -0.7089, -0.9113, 0.1075, -0.1745, 0.9653, -0.1517, 1.5508, |
| 157 | 0.4134, -0.0715, 0.5517, -0.3632, -0.1922, -0.9497, 0.2503, -0.2921 |
| 158 | ] |
| 159 | std = [ |
| 160 | 2.8184, 1.4541, 2.3275, 2.6558, 1.2196, 1.7708, 2.6052, 2.0743, |
| 161 | 3.2687, 2.1526, 2.8652, 1.5579, 1.6382, 1.1253, 2.8251, 1.9160 |
| 162 | ] |
| 163 | self.mean = torch.tensor(mean, dtype=torch.float32) |
| 164 | self.std = torch.tensor(std, dtype=torch.float32) |
| 165 | self.z_dim = 16 |
| 166 | self.conv2 = CausalConv3d(self.z_dim, self.z_dim, 1) |
| 167 | |
| 168 | def forward( |
| 169 | self, |
nothing calls this directly
no test coverage detected