This is the release note of v11.5.0. See here for the complete list of solved issues and merged PRs.

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Highlights

CUDA 12 & H100 Support

CuPy now supports CUDA 12.0 and NVIDIA's latest H100 GPU. Binary packages are available for Linux (x86_64/aarch64) and Windows.

$ pip install cupy-cuda12x

For aarch64:
$ pip install cupy-cuda12x -f https://pip.cupy.dev/aarch64

Note that cuDNN support is unavailable at this time as cuDNN for CUDA 12 has not yet been released.

Changes

Enhancements

• Support CUDA 12.0 (#7238)
• Conditionally change identifiers for ROCm (#7244)
• Extra fixes for CUDA 12.0 (#7257)
• Support NCCL 2.16 (#7288)
• Bump to cuTENSOR 1.6.2 (#7290)
• Support cuDNN 8.7 (#7296)
• Lazy load dtypes deprecated in NumPy 1.24 (#7297)
• Add cupy-cuda12x to cupy-wheel (#7327)
• Update for deprecations in NumPy 1.24 (#7263)
• Update array_api (#7321)

Bug Fixes

• Fix interpreting Sparse init arguments (#7230)
• Fix race condition in Jitify (#7266)
• Support passing int as shape to broadcast_to (#7291)
• Update cuTENSOR installer for CUDA 12.x (#7301)

Documentation

• Bump docs requirements (#7258)
• Doc: Bump supported environments (CUDA 12 / cuDNN 8.7 / NCCL 2.16) (#7320)

Installation

• Bump version to v11.5.0 (#7324)

Tests

• CI: Support cuTENSOR 1.6.2 which defaults to CUDA 12 (#7241)
• Filter SQLAlchemy's warning on which optuna depends in test (#7277)
• Fix tests for NumPy 1.24 (c.f. #7286) (#7287)
• Add CI for CUDA 12.0 (#7317)
• CI: Use NVTX1 in FlexCI image (#7325)

Contributors

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

@anaruse @hubertlu-tw @kmaehashi @leofang @takagi