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fixing tensor device
Browse files
app.py
CHANGED
@@ -12,7 +12,7 @@ from collections import Counter
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from SimSearch import FaissCosineNeighbors
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# HELPERS
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to_np = lambda x: x.data.to('cpu').numpy()
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# DOWNLOAD THE DATASET and Files
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@@ -54,7 +54,7 @@ class GamePhysicsSearcher:
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y_train = []
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for i, vfile in enumerate(tqdm(self.all_embeddings)):
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vfeatures =
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features[vfile.split('/')[-1]] = vfeatures
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X_train.extend(vfeatures)
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y_train.extend([i]*vfeatures.shape[0])
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@@ -74,7 +74,7 @@ class GamePhysicsSearcher:
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with torch.no_grad():
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text_features = self.CLIP_MODEL.encode_text(text_tokens).float()
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text_features /= text_features.norm(dim=-1, keepdim=True)
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return
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# Source: https://stackoverflow.com/a/480227
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def f7(self, seq):
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from SimSearch import FaissCosineNeighbors
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# HELPERS
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# to_np = lambda x: x.data.to('cpu').numpy()
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# DOWNLOAD THE DATASET and Files
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y_train = []
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for i, vfile in enumerate(tqdm(self.all_embeddings)):
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vfeatures = self.read_features(vfile)
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features[vfile.split('/')[-1]] = vfeatures
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X_train.extend(vfeatures)
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y_train.extend([i]*vfeatures.shape[0])
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with torch.no_grad():
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text_features = self.CLIP_MODEL.encode_text(text_tokens).float()
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text_features /= text_features.norm(dim=-1, keepdim=True)
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return text_features
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# Source: https://stackoverflow.com/a/480227
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def f7(self, seq):
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