The first (or rather zeroth) release candidate in the v0.29 series is finally out. You can find it in <https://github.com/LeelaChessZero/lc0/releases/tag/v0.29.0-rc0>. In this release we have: * Initial support for attention policy, only cuda backend and partially in blas/dnnl/eigen (good enough for T79). * Non multigather (legacy) search code and `--multigather` option are removed. * 15b default net is now 753723. * The onnx backend now allows selecting gpu to use. * Improved error messages for unsupported network files. * Some assorted fixes.
**T80** Started: Copied train/match parameters from T79. Initial net is from 2.016M steps point of T79.9 trained on second LR using T79 data. Contributions require 0.29-rc0 (dev will not be accepted) (cuda or ~~blas~~). Shadow data is T79 and will be removed as the training window fills. ``` %YAML 1.2 --- name: '512x15-t80' gpu: 1