This is the release note of v13.3.0. See here for the complete list of solved issues and merged PRs.

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✨ Highlights

Updated NVIDIA CCCL

The CCCL library bundled with CuPy has been updated to eliminate the Jitify preprocess phase. Users will no longer see the one-time performance warning (Jitify is performing a one-time only warm-up to populate the persistent cache, this may take a few seconds and will be improved in a future release...) unless explicitly requesting the use of Jitify (e.g., cupy.RawModule(..., jitify=True)).

Enhanced NumPy 2.0 Compatibility

This release provides better interoperability with NumPy 2.0.

Support for CUDA 12.5 & 12.6

CuPy is now tested with CUDA 12.5 and 12.6.

RFC: Removing NumPy Fallback Mode in CuPy v14

The CuPy team is discussing the possibility of removing NumPy fallback feature in CuPy v14. Feel free to join the discussion in #8497 if you have any comments or use-cases using this feature.

📝 Changes

Enhancements

• Support CUDA 12.5 (#8423)
• Avoid using Jitify everywhere inside CuPy (#8473)
• Disable jitify for cub & Bump CCCL (#8487)
• Get rid of pkg_resources (#8496)
• Unregister cupyx.scipy.linalg.{tri,tril,triu} from uarray (reverted in #8516) (#8506)
• Use .toarray() instead of .A attribute (#8517)
• Extend runtime header search logic to conda (#8520)
• Support CUDA 12.6 (#8524)
• Fallback to system headers for future CUDA 12.x versions (#8529)

Bug Fixes

• Fix spline temp container size in make_interp_spline (#8390)
• MAINT: Avoid using np.compat.integer_types (#8413)
• Fix type dispatcher for arm64 (#8414)
• Fix ndarray.get() not honoring current stream when layout is not contiguous (#8418)
• Fix copyto for NumPy 2 compatibility (#8435)
• Update compiler.py to avoid the popup of the nvcc.exe console (#8438)
• Fix RandomState.seed() for NumPy 2 compatibility (#8439)
• Fix the size of temporary CUB output space to consider its alignment (#8447)
• Address KeyErrors from importlib_metadata (#8465)
• upfirdn: mode=None -> mode="constant" (#8495)
• Search header files from CTK wheel (#8504)
• Fix CUDA version condition to use headers from wheel (#8507)
• Do not unregister cupyx.scipy.linalg.{tri,tril,triu} from uarray (#8516)
• Fix ROCm 4.3 binary package build broken (#8534)
• Fix cudart header detection for conda (#8535)

Documentation

• eigsh doc correction _eigen.py (#8383)
• typo: coping -> copying (#8427)
• Add CUDA 12.5 to list of supported platform (#8428)
• Add comparison table for (cupyx.)scipy.sparse.*_matrix classes class methods (#8458)

Installation

• Patch the build system to better support conda-build (#8464)

Tests

• Bump NumPy/SciPy versions in cuda-example CI (#8420)
• Support SciPy 1.12 (#8422)
• Fix CUDA 11.2 CI failure on Linux (#8437)
• Decrease number of threads to avoid "system error: excessive memory usage is detected" (#8462)
• CI: skip CUDA 12.1/12.2/12.3/12.4 CI on "mini" trigger (#8469)
• Resolve Ruff NPY errors - fix exception imports and asfarray usage in test code (#8471)
• Skip some tests in aarch64 CI (#8490)

👥 Contributors

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

@andfoy @arkdong @asi1024 @bmerry @EarlMilktea @emcastillo @hmaarrfk @jakirkham @johnnynunez @kmaehashi @leofang @monzelr @seberg @swelborn @takagi @YanivDorGalron