Received an error when loading the model

[pawara101]

Hi,

Nice work while i check your code found an issue in tutorials/01-basics/pytorch_basics/main.py

---------------------------------------------------------------------------
UnpicklingError                           Traceback (most recent call last)
/tmp/ipykernel_58/1496455266.py in <cell line: 0>()
      5 # Save and load the entire model.
      6 torch.save(resnet, 'model.ckpt')
----> 7 model = torch.load('model.ckpt')
      8 
      9 # Save and load only the model parameters (recommended).

/usr/local/lib/python3.12/dist-packages/torch/serialization.py in load(f, map_location, pickle_module, weights_only, mmap, **pickle_load_args)
   1546                         )
   1547                     except pickle.UnpicklingError as e:
-> 1548                         raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
   1549                 return _load(
   1550                     opened_zipfile,

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 torchvision.models.resnet.ResNet was not an allowed global by default. Please use `torch.serialization.add_safe_globals([torchvision.models.resnet.ResNet])` or the `torch.serialization.safe_globals([torchvision.models.resnet.ResNet])` context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

I think it will quickly fix with below;

# ================================================================== #
#                      7. Save and load the model                    #
# ================================================================== #

# Save and load the entire model.
torch.save(resnet, 'model.ckpt')
model = torch.load("model.ckpt", weights_only=False)

# Save and load only the model parameters (recommended).
torch.save(resnet.state_dict(), 'params.ckpt')
resnet.load_state_dict(torch.load('params.ckpt'))