Fix CUDA V100 compat: add JULIA_CUDA_USE_COMPAT=false env var

GPU tests failed with "Please use a device with at least capability
7.5" because CUDA_Driver_jll v13 dropped V100 (cc 7.0) support. The
LocalPreferences.toml wasn't being picked up by the test environment.

Fix by setting JULIA_CUDA_USE_COMPAT=false env var in GPU workflow to
force using the system CUDA driver instead of the bundled one. Also
add CUDA_Driver_jll and CUDA_Runtime_jll to Project.toml deps so
LocalPreferences.toml can be read.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: ChrisRackauckas

.github/workflows/GPU.yml

@@ -30,6 +30,7 @@ jobs:
       - uses: julia-actions/julia-runtest@v1
         env:
           GROUP: "GPU"
+          JULIA_CUDA_USE_COMPAT: "false"
       - uses: julia-actions/julia-processcoverage@v1
       - uses: codecov/codecov-action@v5
         with:
@@ -59,3 +60,4 @@ jobs:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }}
           DATADEPS_ALWAYS_ACCEPT: true
+          JULIA_CUDA_USE_COMPAT: "false"

Project.toml

@@ -5,6 +5,8 @@ version = "2.2.0"
 
 [deps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
+CUDA_Driver_jll = "4ee394cb-3365-5eb0-8335-949819d2adfc"
+CUDA_Runtime_jll = "76a88914-d11a-5bdc-97e0-2f5a05c973a2"
 DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
 DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"