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Rename to validation_score

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henryruhs
2025-03-01 16:14:07 +01:00
parent a22adaf51f
commit 56be3f0b9b
2 changed files with 6 additions and 6 deletions
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embedding_converter/src/training.py
+3 -3
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@@ -46,9 +46,9 @@ class EmbeddingConverterTrainer(lightning.LightningModule):
with torch.no_grad():
source_embedding = self.source_embedder(batch)
output_embedding = self(source_embedding)
validation = (nn.functional.cosine_similarity(source_embedding, output_embedding).mean() + 1) * 0.5
self.log('validation', validation, prog_bar = True)
return validation
validation_score = (nn.functional.cosine_similarity(source_embedding, output_embedding).mean() + 1) * 0.5
self.log('validation_score', validation_score, prog_bar = True)
return validation_score
def configure_optimizers(self) -> OptimizerConfig:
learning_rate = CONFIG.getfloat('training.trainer', 'learning_rate')
face_swapper/src/training.py
+3 -3
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@@ -129,9 +129,9 @@ class FaceSwapperTrainer(lightning.LightningModule):
source_embedding = calc_embedding(self.embedder, source_tensor, (0, 0, 0, 0))
output_tensor = self.generator(source_embedding, target_tensor)
output_embedding = calc_embedding(self.embedder, output_tensor, (0, 0, 0, 0))
validation = (nn.functional.cosine_similarity(source_embedding, output_embedding).mean() + 1) * 0.5
self.log('validation', validation)
return validation
validation_score = (nn.functional.cosine_similarity(source_embedding, output_embedding).mean() + 1) * 0.5
self.log('validation_score', validation_score, prog_bar = True)
return validation_score
def generate_preview(self, source_tensor : Tensor, target_tensor : Tensor, output_tensor : Tensor) -> None:
preview_limit = 8