Solve the "AttributeError: module 'numpy' has no attribute 'bool8'. D…

[houjibofa2050]

run run_recbole.py two errors occurred

1. AttributeError: module 'numpy' has no attribute 'bool8'. Did you mean: 'bool'?
2. raceback (most recent call last):
   File "D:\recbole_pr\RecBole-1.2.1\RecBole-1.2.1\run_recbole.py", line 46, in
   run(
   File "D:\recbole_pr\RecBole-1.2.1\RecBole-1.2.1\recbole\quick_start\quick_start.py", line 52, in run
   res = run_recbole(
   File "D:\recbole_pr\RecBole-1.2.1\RecBole-1.2.1\recbole\quick_start\quick_start.py", line 153, in run_recbole
   test_result = trainer.evaluate(
   File "C:\Users\cm.conda\envs\RecBole\lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
   return func(*args, **kwargs)
   File "D:\recbole_pr\RecBole-1.2.1\RecBole-1.2.1\recbole\trainer\trainer.py", line 583, in evaluate
   checkpoint = torch.load(checkpoint_file, map_location=self.device)
   File "C:\Users\cm.conda\envs\RecBole\lib\site-packages\torch\serialization.py", line 1470, in load
   raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
   _pickle.UnpicklingError: Weights only load failed. 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.
   Please file an issue with the following so that we can make weights_only=True compatible with your use case: WeightsUnpickler error: Unsupported operand 149

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.

Solution
The purpose is to solve these two errors,
modify the numpy version and specify the value corresponding to weights_only to be false