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fix: update package_cuda.py for PyInstaller 6.18 layout and remove split_binary.py

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- Fix is_nvidia_file() to match NVIDIA DLLs in _internal/torch/lib/
  (PyInstaller 6.18 + torch 2.10 no longer uses nvidia/ subdirectories)
- Remove deprecated split_binary.py (both archives are under 2GB)
- Update torch_compat range to >=2.6.0,<2.11.0
- Update build docs for new dual-archive packaging flow
This commit is contained in:
Jamie Pine
2026-03-17 04:57:05 -07:00
parent 564d787927
commit 88be097b62
5 changed files with 54 additions and 114 deletions
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docs/content/docs/developer/building.mdx
+7 -5
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@@ -159,12 +159,14 @@ Tauri looks for `voicebox-server-${PLATFORM}` in `src-tauri/binaries/` and bundl
The `build-cuda-windows` job runs separately:
1. Install PyTorch with CUDA 12.1
2. Build with `build_binary.py --cuda`
3. Split binary with `scripts/split_binary.py`
4. Upload parts as release artifacts
1. Install PyTorch with CUDA 12.6
2. Build with `build_binary.py --cuda` (produces `--onedir` output)
3. Package with `scripts/package_cuda.py` into two archives:
- `voicebox-server-cuda.tar.gz` — server core (~945 MB)
- `cuda-libs-cu126-v1.tar.gz` — NVIDIA runtime libraries (~1.7 GB, cached independently)
4. Upload archives as release artifacts
This binary is downloaded on-demand by users who enable CUDA in settings.
This binary is downloaded on-demand by users who enable CUDA in settings. The CUDA libs archive is only re-downloaded when the CUDA toolkit version changes, not on every app update.
## Troubleshooting