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PyTorch Hub custom model to CUDA device fix #2636

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Mar 28, 2021
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PyTorch Hub custom model to CUDA device fix #2636

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5 changes: 4 additions & 1 deletion hubconf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -128,7 +128,10 @@ def custom(path_or_model='path/to/model.pt', autoshape=True):
hub_model = Model(model.yaml).to(next(model.parameters()).device) # create
hub_model.load_state_dict(model.float().state_dict()) # load state_dict
hub_model.names = model.names # class names
return hub_model.autoshape() if autoshape else hub_model
if autoshape:
hub_model = hub_model.autoshape() # for file/URI/PIL/cv2/np inputs and NMS
device = select_device('0' if torch.cuda.is_available() else 'cpu') # default to GPU if available
return hub_model.to(device)


if __name__ == '__main__':
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