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@@ -107,7 +107,7 @@ def predict(net, item):
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with torch.no_grad():
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with torch.no_grad():
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if torch.cuda.is_available():
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if torch.cuda.is_available():
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- inputs_test = torch.cuda.FloatTensor(sample["image"].unsqueeze(0).float())
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+ inputs_test = torch.cuda.FloatTensor(sample["image"].unsqueeze(0).cuda().float())
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else:
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else:
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inputs_test = torch.FloatTensor(sample["image"].unsqueeze(0).float())
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inputs_test = torch.FloatTensor(sample["image"].unsqueeze(0).float())
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