v1.6.9
Accelerator install profiles and runtime diagnostics are now available for CPU, CUDA, DirectML, and macOS CoreML setups.
Changes:
- Added GUI and headless CLI requirement profiles for CPU, CUDA, DirectML, and CoreML.
- Added startup, About dialog, and --runtime-info ONNX Runtime provider diagnostics with install guidance for unavailable accelerators.
- Kept JSON CLI stdout machine-readable by sending startup diagnostics to stderr in JSON/pipe modes.
- Updated GPU Docker builds to install from requirements-cli-cuda.txt.
Verification:
- python -m py_compile AlphaCut.py
- pytest -q: 78 passed
- python AlphaCut.py --runtime-info
- About dialog offscreen smoke: 560x520
- packaging/windows/build-release.ps1: produced unsigned artifacts and checksum files because signing was not configured
- packaged EXE smoke: --version, --runtime-info, and missing-input JSON failure path
- SHA256 AlphaCut-windows.exe: 0e49f98019f755f98eac2b9fca9577a6666b1f8e71d2f112608514cc062634f0
- SHA256 AlphaCut-Setup-1.6.9.exe: 69a568f23dc7bd74c42d828ea001f74ea8a8e121883b8effc6e916eecb8f0ade
Signing: unsigned local build; no signing configuration was present.