This is the release note of v9.2.0. See here for the complete list of solved issues and merged PRs.

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Highlights

• CuPy now supports CUDA 11.3 (cupy-cuda113) and AMD ROCm 4.2 (cupy-rocm-4-2) and binary wheels are now available on PyPI.

Known Issues

• cupy-cuda111 wheels only support CUDA 11.1.1 and will not work with CUDA 11.1.0 (#5313).
• cupy-cuda110 and cupy-cuda111 wheels are not available yet in PyPI. In the meantime, they can be downloaded from the Assets section below. See #4971 for detailed instructions.

Changes

Enhancements

• Add CUDA 11.3 headers (#5232)
• Do not use handles unless requested in cupy.show_config() (#5285)
• Use independent version of hipFFT for ROCm 4.1 and later (#5351)
• Support cuTENSOR v1.3.1 (#5370)
• Support cuDNN v8.2.1 (#5372)

Bug Fixes

• MemoryAsyncPool: Use the "current" mempool instead of the "default" one (#5271)
• Fix MemoryAsync to keep a weakref to stream (#5307)
• Fix cuFFT callback for sm_61 etc (#5325)
• Fix large arrays assignment (#5333)
• Fix check_availablity for cupy.cusolver (#5336)
• Fix cuDNN preloading (#5365)
• Ensure source array is C-contiguous before copying to CUDAArray (#5375)
• Remove unnecessary print (#5377)

Code Fixes

• Use cdef instead of cpdef where appropriate (#5274)
• Fix cub repository url (#5288)

Documentation

• Fix matmul docstring (#5281)
• Update list of wheels in README (#5284)
• Add user guide for FFT (#5286)
• Fix deadlink to tutorial and reorder in README (#5291)
• Add user guide for streams & events (#5302)
• Document ExternalStream (#5312)
• user_guide/basic.rst: various improvements (#5356)
• Add ROCm 4.2 support to install docs (#5360)

Installation

• Exclude Cython 3 from setup_requires (#5273)
• Add upper restrictions to NumPy/SciPy versions (#5321)

Tests

• Fix threading memory pool tests (#5289)
• Fix Windows CI kernel cache (#5317)
• Xfail random generator tests for HIP (#5359)
• Tentatively pin to SciPy 1.6 in Windows CI (#5369)

Contributors

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

@leofang @maxim-belkin