When I ran the example, it gave me this error. Is the pytorch updated.
'''
File "/mnt/c/Users/AB000267/Desktop//Mlip_potentials_GB/./get_heinet_mlip.py", line 13, in
calc = HIENetCalculator(model = './AIRS/OpenMat/HIENet/checkpoints/HIENet-V3.pth')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/asifem/miniconda3/lib/python3.11/site-packages/hienet/hienet_calculator.py", line 73, in init
model_loaded, config = hienet.util.model_from_checkpoint(checkpoint)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/asifem/miniconda3/lib/python3.11/site-packages/hienet/util.py", line 207, in model_from_checkpoint
checkpoint = torch.load(checkpoint, map_location='cpu')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/asifem/miniconda3/lib/python3.11/site-packages/torch/serialization.py", line 1524, in load
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 numpy.core.multiarray._reconstruct was not an allowed global by default. Please use torch.serialization.add_safe_globals([numpy.core.multiarray._reconstruct]) or the torch.serialization.safe_globals([numpy.core.multiarray._reconstruct]) 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.
'''
When I ran the example, it gave me this error. Is the pytorch updated.
'''
File "/mnt/c/Users/AB000267/Desktop//Mlip_potentials_GB/./get_heinet_mlip.py", line 13, in
calc = HIENetCalculator(model = './AIRS/OpenMat/HIENet/checkpoints/HIENet-V3.pth')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/asifem/miniconda3/lib/python3.11/site-packages/hienet/hienet_calculator.py", line 73, in init
model_loaded, config = hienet.util.model_from_checkpoint(checkpoint)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/asifem/miniconda3/lib/python3.11/site-packages/hienet/util.py", line 207, in model_from_checkpoint
checkpoint = torch.load(checkpoint, map_location='cpu')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/asifem/miniconda3/lib/python3.11/site-packages/torch/serialization.py", line 1524, in load
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_onlyargument intorch.loadfromFalsetoTrue. Re-runningtorch.loadwithweights_onlyset toFalsewill 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=Trueplease check the recommended steps in the following error message.WeightsUnpickler error: Unsupported global: GLOBAL numpy.core.multiarray._reconstruct was not an allowed global by default. Please use
torch.serialization.add_safe_globals([numpy.core.multiarray._reconstruct])or thetorch.serialization.safe_globals([numpy.core.multiarray._reconstruct])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.
'''