Issue #411 randominit #424
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simply use torch.save() and torch.load() to save and load entire model objects, which will retain architecture information and all other relevant parameters. The previous implementation was overly complicated simply because I didn't realize torch could just save everything, apparently via pickle.
SafeDataset was both a child class of Dataset and had an attribute `dataset` that was class Dataset, which was confusing and unnecessary. Now it is not a subclass of anything, and I removed the error-causing __getattr__ implementation.
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