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Add attributes used by MPS
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@ -37,16 +37,16 @@ class RestrictedUnpickler(pickle.Unpickler):
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if module == 'collections' and name == 'OrderedDict':
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return getattr(collections, name)
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if module == 'torch._utils' and name in ['_rebuild_tensor_v2', '_rebuild_parameter']:
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if module == 'torch._utils' and name in ['_rebuild_tensor_v2', '_rebuild_parameter', '_rebuild_device_tensor_from_numpy']:
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return getattr(torch._utils, name)
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if module == 'torch' and name in ['FloatStorage', 'HalfStorage', 'IntStorage', 'LongStorage', 'DoubleStorage', 'ByteStorage']:
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if module == 'torch' and name in ['FloatStorage', 'HalfStorage', 'IntStorage', 'LongStorage', 'DoubleStorage', 'ByteStorage', 'float32']:
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return getattr(torch, name)
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if module == 'torch.nn.modules.container' and name in ['ParameterDict']:
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return getattr(torch.nn.modules.container, name)
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if module == 'numpy.core.multiarray' and name == 'scalar':
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return numpy.core.multiarray.scalar
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if module == 'numpy' and name == 'dtype':
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return numpy.dtype
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if module == 'numpy.core.multiarray' and name in ['scalar', '_reconstruct']:
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return getattr(numpy.core.multiarray, name)
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if module == 'numpy' and name in ['dtype', 'ndarray']:
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return getattr(numpy, name)
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if module == '_codecs' and name == 'encode':
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return encode
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if module == "pytorch_lightning.callbacks" and name == 'model_checkpoint':
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