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Make validation step more solid, failed on empty checksums

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henryruhs
2025-03-11 14:43:09 +01:00
parent d25f2865a9
commit 857365770f
1 changed files with 9 additions and 4 deletions
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face_swapper/src/training.py
+9 -4
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@@ -76,10 +76,15 @@ class FaceSwapperTrainer(lightning.LightningModule, FaceSwapperLoss):
def validation_step(self, batch : Batch, batch_index : int) -> Tensor: def validation_step(self, batch : Batch, batch_index : int) -> Tensor:
source_tensor, target_tensor, _ = batch source_tensor, target_tensor, _ = batch
source_embedding = calc_id_embedding(self.id_embedder, source_tensor, (0, 0, 0, 0))
output_tensor, target_attributes = self.generator(target_tensor, source_embedding) if torch.isnan(source_tensor).any() and torch.isnan(target_tensor).any():
output_embedding = calc_id_embedding(self.id_embedder, output_tensor, (0, 0, 0, 0)) source_embedding = calc_id_embedding(self.id_embedder, source_tensor, (0, 0, 0, 0))
validation = (nn.functional.cosine_similarity(source_embedding, output_embedding).mean() + 1) * 0.5 output_tensor, target_attributes = self.generator(target_tensor, source_embedding)
output_embedding = calc_id_embedding(self.id_embedder, output_tensor, (0, 0, 0, 0))
validation = (nn.functional.cosine_similarity(source_embedding, output_embedding).mean() + 1) * 0.5
else:
validation = torch.tensor(0.0)
self.log('validation', validation) self.log('validation', validation)
return validation return validation