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~\Anaconda3\lib\site-packages\piepline\data_processor\model.py in load_weights(self, weights_file)
54 file = self._checkpoints_manager.weights_file()
55 print("Model inited by file:", file, end='; ')
---> 56 pretrained_weights = torch.load(file)
57 print("dict len before:", len(pretrained_weights), end='; ')
58 processed = {}
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
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The text was updated successfully, but these errors were encountered: