Since pyproject.toml is configured to use PyTorch CUDA index by default, all builds automatically include CUDA support. Removed redundant separate CUDA build scripts and updated documentation. Changes: - Removed build-cuda.sh and build-cuda.bat (no longer needed) - Updated build.sh and build.bat to include CUDA by default - Added "uv sync" step to ensure CUDA PyTorch is installed - Updated messages to clarify CUDA support is included - Updated BUILD.md to reflect simplified build process - Removed separate CUDA build sections - Clarified all builds include CUDA support - Updated GPU support section - Updated CLAUDE.md with simplified build commands Benefits: - Simpler build process (one script per platform instead of two) - Less confusion about which script to use - All builds work on any system (GPU or CPU) - Automatic fallback to CPU if no GPU available - pyproject.toml is single source of truth for dependencies 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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1.3 KiB
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