I trained my model using arbitrary initial seed for randomness. I have printed the seed, (it is a large number, 13248873089935215612). Now as I want to reproduce the training results, I want to set manual seed via
torch.manual_seed(13248873089935215612), but this throws me error in torch/random.py
at line 35 when executing default_generator.manual_seed(seed)
default_generator.manual_seed(seed)
RuntimeError: Overflow when unpacking long

How can I set torch random seed for such large initial seed?