Fixed failing tests on pytorch nightly using torch.load

[vfdev-5]

Description:

• Fixed failing tests on pytorch nightly using torch.load

Ref: https://github.com/pytorch/ignite/actions/runs/11437373312/job/32648411373

=========================== short test summary info ============================
FAILED tests/ignite/engine/test_deterministic.py::test_gradients_on_resume_cpu - _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) 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([_reconstruct])` or the `torch.serialization.safe_globals([_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.
FAILED tests/ignite/handlers/test_state_param_scheduler.py::test_torch_save_load - _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) 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 ignite.handlers.state_param_scheduler.LambdaStateScheduler was not an allowed global by default. Please use `torch.serialization.add_safe_globals([LambdaStateScheduler])` or the `torch.serialization.safe_globals([LambdaStateScheduler])` 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.