PyTorch Example: Warning on Array to NumPy/CuPy

[ax3l]

Warning is sensible (we do not want to copy):

271: /home/axel/src/impactx/examples/pytorch_surrogate_model/run_ml_surrogate_15_stage.py:238: DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments. To learn more, see the migration guide https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword
271:   x[:] = array(data_arr_post_model[:, 0])

https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword

We can do two updates:

• ImpactX example: use our new .to_xp() functions to generalize NumPy/CuPy coupling.
• pyAMReX: update the .to_np() method Modernize .to_numpy() AMReX-Codes/pyamrex#426