Interactive HPC tutorials, distributed FFT, batch-parallel clustering, support PyTorch 2.2.2

Changes

Documentation

• #1406 New tutorials for interactive parallel mode for both HPC and local usage (by @ClaudiaComito)

🔥 Features

• #1288 Batch-parallel K-means and K-medians (by @mrfh92)
• #1228 Introduce in-place-operators for arithmetics.py (by @LScheib)
• #1218 Distributed Fast Fourier Transforms (by @ClaudiaComito)

Bug fixes

• #1363 ht.array constructor respects implicit torch device when copy is set to false (by @JuanPedroGHM)
• #1216 Avoid unnecessary gathering of distributed operand (by @samadpls)
• #1329 Refactoring of QR: stabilized Gram-Schmidt for split=1 and TS-QR for split=0 (by @mrfh92)

Interoperability

• #1418 and #1290: Support PyTorch 2.2.2 (by @mtar)
• #1315 and #1337: Fix some NumPy deprecations in the core and statistics tests (by @FOsterfeld)

Contributors

@ClaudiaComito, @FOsterfeld, @JuanPedroGHM, @LScheib, @mrfh92, @mtar, @samadpls