Release Release v3.1.0 · iree-org/iree-turbine

Release highlights

The core of iree-turbine remains fairly stable, with a few quality of life and infrastructure changes this release cycle.

PyTorch is no longer a direct requirement that gets automatically installed alongside the iree-turbine package as of #343. Instead, users should install the torch package variant of their choice before importing from iree-turbine will succeed. For example:
```
pip install torch --index-url https://download.pytorch.org/whl/test/cpu
pip install iree-turbine
```

Pre-release versions of the iree-turbine package are now published nightly. Install with

pip install \
  --find-links https://iree.dev/pip-release-links.html \
  --upgrade --pre \
  iree-turbine

Project tests are now running continuously across Python versions 3.10-3.12: #326.
A new turbine_generate rule is available for the iree.build API. This can be used to programmatically export and compile pipelines of programs using iree-turbine: #249.

Activity in the TKW (turbine/kernel/wave/) subproject has been accelerating.

Attention decode kernels are in development: #308, #340.
- Support has also been added to target MMA and MFMA intrinsics, workings towards efficient GEMM and attention kernels using lower precision data types: #279, #269, #287.
TKW now supports a compiled kernel cache that helps with both online and offline uses: #329, #351.
An evoformer example was added at iree/turbine/kernel/wave/templates/evoformer.py in #307.
A number of optimizations have been added across the project: #291, #296, #292, #304, #318, #335, and more.