v1.12

• Fix a bug when transfering the optimizer on another device caused by a new feature in PyTorch 1.12, i.e. the "capturable" parameter in Adam and AdamW.
• Add utilitary functions for saving (save_random_states) and loading (load_random_states) Python, Numpy and Pytorch's (both CPU and GPU) random states. Furthermore, we also add the RandomStatesCheckpoint callback. This callback is now used in ModelBundle.