Fix CuPy solver tolerance parameter and update tutorial installations#246
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jameslehoux merged 3 commits intomasterfrom Apr 4, 2026
Merged
Fix CuPy solver tolerance parameter and update tutorial installations#246jameslehoux merged 3 commits intomasterfrom
jameslehoux merged 3 commits intomasterfrom
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CuPy 13.x renamed the tolerance parameter from tol to rtol, matching modern SciPy. The CuPy path was still using the old tol keyword. https://claude.ai/code/session_01RKnn97qiD7sbCeABHH3eQk
These three tutorials use the low-level C++ API (openimpala.core) or oi.read_image() which require the compiled backend. Updated their install cells to use openimpala-cuda from GitHub Releases. Tutorials 01, 03, 05, 06 remain pure-Python (pip install openimpala). https://claude.ai/code/session_01RKnn97qiD7sbCeABHH3eQk
The GPU wheel excludes CUDA runtime .so files (libcudart, libcublas, etc.) so they must be pip-installed separately on Colab. Added nvidia-cuda-runtime-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-curand-cu12 to tutorials 02, 04, 07 install cells. https://claude.ai/code/session_01RKnn97qiD7sbCeABHH3eQk
Performance Benchmark Results
Fastest solver: bicgstab at 64³ (0.3691s) Benchmark: uniform block (analytical τ = (N-1)/N) |
Code Coverage ReportGenerated by CI — coverage data from gcovr |
Codecov Report✅ All modified and coverable lines are covered by tests. 📢 Thoughts on this report? Let us know! |
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