This is the release note of v13.6.0. See here for the complete list of solved issues and merged PRs.

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✨ Highlights

This release adds support for CUDA 13.x. Binary packages are available on PyPI: pip install cupy-cuda13x.

📝 Changes

Enhancements

• Update cupyx.scipy.special functions for SciPy 1.16 (#9246)
• Add CUDA 13 support (#9300)
• Support building NVTX on Windows without Nsight Systems (#9304)
• Remove bundled header files (#9305)
• Fix freqz for complex w (#9259)
• Fix resample error message for SciPy 1.16 update (#9262)

Bug Fixes

• Fix overflow in CUB reduction (#9254)
• Fix lsmr type promotion rule for complex dtype (#9277)
• Fix UnboundLocalError when blocking=True (#9282)
• Allow host function call during CUDA graph capture (#9283)
• CUDA 11.1 or earlier is no longer supported (#9285)

Documentation

• Docs only: s/"recoreded"/recorded (#9288)
• CUDA 13 Update docs (#9299)

Installation

• [v13] Bump version to v13.6.0 (#9314)

Tests

• CI: Introduce per-PR kernel cache (#9235)
• Add test cases for batchwise solve_triangular (as xfail) (#9245)
• Relax tolerance of test_hilbert (#9255)
• Skip some signal q dtype tests (#9256)
• Increase CPU memory limit of linux.cuda{128,129} CIs (#9261)
• Support nD reductions for sparse arrays (#9268)
• [v13] Missing backport of special function tests (#9269)
• [v13] Wrong test skip condition of test_zscore_empty (#9270)
• Support SciPy 1.16 on Windows (#9276)
• Support SciPy 1.16 on Linux (#9284)
• CI: NVTX1 removed from Windows machine image (#9303)
• Fix CI failure in CUDA 12.4 (#9311)
• [v13] Fix scipy version condition of COO matrix test (#9312)

Others

👥 Contributors

The CuPy Team would like to thank all those who contributed to this release!

@asi1024 @brycelelbach @Ellecee @emcastillo @kmaehashi @robertmaynard