PyTorch Hub custom model to CUDA device fix (#2636)

Fix for #2630 raised by @Pro100rus32
pull/2642/head
Glenn Jocher 2021-03-28 17:22:00 +02:00 committed by GitHub
parent 2e95cf3d79
commit ee169834bd
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1 changed files with 4 additions and 1 deletions

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@ -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__':