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Newer versions of PyTorch use TypedStorage instead
Pytorch 1.13 and later will rename _TypedStorage to TypedStorage, so check for TypedStorage and use _TypedStorage if it is not available. Currently this is needed so that nightly builds of PyTorch work correctly.
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@ -12,6 +12,10 @@ import _codecs
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import zipfile
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# PyTorch 1.13 and later have _TypedStorage renamed to TypedStorage
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TypedStorage = torch.storage.TypedStorage if hasattr(torch.storage, 'TypedStorage') else torch.storage._TypedStorage
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def encode(*args):
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out = _codecs.encode(*args)
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return out
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@ -20,7 +24,7 @@ def encode(*args):
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class RestrictedUnpickler(pickle.Unpickler):
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def persistent_load(self, saved_id):
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assert saved_id[0] == 'storage'
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return torch.storage._TypedStorage()
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return TypedStorage()
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def find_class(self, module, name):
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if module == 'collections' and name == 'OrderedDict':
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