(self, input_tensor)
| 122 | self.hidden_to_logsigma = nn.Linear(self.z2_dim, self.z_dim) |
| 123 | |
| 124 | def emb_encode(self, input_tensor): |
| 125 | hidden = self.input_to_hidden(input_tensor) |
| 126 | |
| 127 | return hidden |
| 128 | |
| 129 | def aggregate(self, input_tensor): |
| 130 | return torch.mean(input_tensor, dim=-2) |