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change mode of model from train to eval #314

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1 change: 1 addition & 0 deletions create_heatmaps.py
Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,7 @@
device=torch.device("cuda" if torch.cuda.is_available() else "cpu")

def infer_single_slide(model, features, label, reverse_label_dict, k=1):
model.eval() # The model should be in eval mode to prevent dropout and batchnorm from being applied
features = features.to(device)
with torch.inference_mode():
if isinstance(model, (CLAM_SB, CLAM_MB)):
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