AncTe/ginka-generator
1
0
Fork 0
mirror of https://github.com/unanmed/ginka-generator.git synced 2026-05-14 04:41:12 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

fix: vae参数错误

Browse Source
This commit is contained in:
unanmed 2026-01-20 16:43:59 +08:00
parent dd6a043487
commit 14f391f4f4
1 changed files with 2 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
ginka/vae_rnn/vae.py
View File

@ -7,7 +7,7 @@ from .decoder import VAEDecoder
class GinkaVAE(nn.Module):
def __init__(self, device, tile_classes=32, latent_dim=32):
super().__init__()
self.encoder = VAEEncoder(tile_classes, latent_dim)
self.encoder = VAEEncoder(device, tile_classes, latent_dim)
self.decoder = VAEDecoder(device)
def reparameterize(self, mu, logvar):
@ -16,8 +16,7 @@ class GinkaVAE(nn.Module):
return mu + eps * std
def forward(self, target_map: torch.Tensor, use_self_probility=0):
target = F.one_hot(target_map, num_classes=32).float().permute(0, 3, 1, 2)
mu, logvar = self.encoder(target)
mu, logvar = self.encoder(target_map)
z = self.reparameterize(mu, logvar)
logits = self.decoder(z, target_map, use_self_probility)
return logits, mu, logvar