Traceback (most recent call last): File “main.py”, line 128, in <module> main() File “main.py”, line 103, in main learn.load(os.path.join(cwd, args.model_dir + ‘/1024-Mnih-Best’)) File “./fastai/old/fastai/learner.py”, line 105, in load load_model(self.model, self.get_model_path(name)) File “./fastai/old/fastai/torch_imports.py”, line 34, in load_model sd = torch.load(p, map_location=lambda storage, loc: storage) File “/home/prabhu/anaconda3/envs/fastai-cpu/lib/python3.6/site-packages/torch/serialization.py”, line 267, in load return _load(f, map_location, pickle_module) File “/home/prabhu/anaconda3/envs/fastai-cpu/lib/python3.6/site-packages/torch/serialization.py”, line 420, in _load result = unpickler.load()
AttributeError: Can’t get attribute ‘_rebuild_tensor_v2’ on <module ‘torch._utils’ from ‘/home/prabhu/anaconda3/envs/fastai-cpu/lib/python3.6/site-packages/torch/_utils.py’>
In order for people to help you, you’ll need to provide more detail on your question. What do you mean by “How to use old fastai in new one?”?
easiest is just to install the old one, use a docker container or something