From 0bcd8e8d21c73ddf93858ed99d0e4770cd0474c7 Mon Sep 17 00:00:00 2001
From: Josh Knapp <jknapp85@gmail.com>
Date: Fri, 26 Dec 2025 12:08:42 -0800
Subject: [PATCH] Configure uv to always use PyTorch CUDA index

Changes:
- Set PyTorch CUDA index (cu121) as default for all builds
- CUDA builds support both GPU and CPU (auto-fallback)
- Fixes uv run reinstalling CPU-only PyTorch
- Updated dependency-groups syntax (fixes deprecation warning)

Benefits:
- Simpler build process - no CPU vs CUDA distinction needed
- uv sync and uv run now get CUDA-enabled PyTorch automatically
- Builds work on systems with or without NVIDIA GPUs
- Fixes issue where uv run check_cuda.py was getting CPU version

Index: https://download.pytorch.org/whl/cu121 (PyTorch 2.5.1+cu121)
---
 pyproject.toml | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index e264e2f..5b26bdd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -52,11 +52,17 @@ build-backend = "hatchling.build"
 [tool.hatch.build.targets.wheel]
 packages = ["client", "gui"]
 
-[tool.uv]
-dev-dependencies = [
+[dependency-groups]
+dev = [
     "pyinstaller>=6.17.0",
 ]
 
+# Use PyTorch CUDA index by default
+# CUDA builds work on both GPU and CPU systems (fallback to CPU if no GPU)
+[[tool.uv.index]]
+url = "https://download.pytorch.org/whl/cu121"
+default = true
+
 [tool.ruff]
 line-length = 100
 target-version = "py39"