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Also in this release as an important security improvement measure we have changed the default value for weights_only parameter of torch.load. This is a backward compatibility-breaking change, please see this forum post for more details.
from torch.nn.modules.container import Sequential
from ultralytics import YOLO
from ultralytics.nn.tasks import DetectionModel
from ultralytics.nn.modules import Conv
torch.serialization.add_safe_globals([Sequential])
torch.serialization.add_safe_globals([DetectionModel])
torch.serialization.add_safe_globals([Conv])
I get
raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
(1) In PyTorch 2.6, we changed the default value of the weights_only argument in torch.load from False to True. Re-running torch.load with weights_only set to False will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
(2) Alternatively, to load with weights_only=True please check the recommended steps in the following error message.
WeightsUnpickler error: Unsupported global: GLOBAL ultralytics.nn.modules.Conv was not an allowed global by default. Please use torch.serialization.add_safe_globals([Conv]) or the torch.serialization.safe_globals([Conv]) context manager to allowlist this global if you trust this class/function.
So torch.serialization.add_safe_globals doesn't work with Conv. Will look into alternatives, otherwise downgrading torch to 2.5 should work.
https://pytorch.org/blog/pytorch2-6/
A potential solution is
torch.serialization.add_safe_globals
(https://pytorch.org/docs/stable/notes/serialization.html).The text was updated successfully, but these errors were encountered: