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fix: device 不正确

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unanmed 2025-12-17 13:12:44 +08:00
parent bf5160edac
commit d0decfc63a
3 changed files with 3 additions and 3 deletions
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2
ginka/generator/loss.py
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@ -417,4 +417,4 @@ class RNNGinkaLoss:
target: [B, H, W]
"""
target = F.one_hot(target, num_classes=self.num_classes).float().permute(0, 3, 1, 2)
return F.cross_entropy(fake, target, label_smoothing=0.1, weight=self.weight)
return F.cross_entropy(fake, target, label_smoothing=0.1)

2
ginka/generator/rnn.py
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@ -72,7 +72,7 @@ class GinkaMapPatch(nn.Module):
mask[:, 4, 2] = 0
mask[:, 4, 3] = 0
mask[:, 4, 4] = 0
masked_result = torch.zeros([B, self.tile_classes + 1, 5, 5])
masked_result = torch.zeros([B, self.tile_classes + 1, 5, 5]).to(map.device)
masked_result[:, 0:32] = F.one_hot(result, num_classes=32).permute(0, 3, 2, 1).float()
masked_result[:, 32] = mask

2
ginka/train_rnn.py
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@ -81,7 +81,7 @@ def train():
dataset = GinkaRNNDataset(args.train, device)
dataset_val = GinkaRNNDataset(args.validate, device)
dataloader = DataLoader(dataset, batch_size=BATCH_SIZE, shuffle=True)
dataloader_val = DataLoader(dataset_val, batch_size=BATCH_SIZE)
dataloader_val = DataLoader(dataset_val, batch_size=BATCH_SIZE // 8)
optimizer_ginka = optim.AdamW(ginka_rnn.parameters(), lr=1e-4, weight_decay=1e-4)
scheduler_ginka = optim.lr_scheduler.CosineAnnealingLR(optimizer_ginka, T_max=800, eta_min=1e-6)