sbsa/cu130/: cupy-cuda13x-13.6.0 metadata and description

Simple index

CuPy: NumPy & SciPy for GPU

author_email Seiya Tokui <tokui@preferred.jp>
classifiers
  • Development Status :: 5 - Production/Stable
  • Intended Audience :: Science/Research
  • Intended Audience :: Developers
  • Programming Language :: Python
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: 3.10
  • Programming Language :: Python :: 3.11
  • Programming Language :: Python :: 3.12
  • Programming Language :: Python :: 3.13
  • Programming Language :: Python :: 3 :: Only
  • Programming Language :: Cython
  • Topic :: Software Development
  • Topic :: Scientific/Engineering
  • Operating System :: POSIX
  • Operating System :: Microsoft :: Windows
description_content_type text/x-rst
dynamic license-file
license_expression MIT
license_file docs/source/license.rst
maintainer CuPy Developers
metadata_version 2.4
project_urls
  • Homepage, https://cupy.dev/
  • Documentation, https://docs.cupy.dev/
  • Bug Tracker, https://github.com/cupy/cupy/issues
  • Source Code, https://github.com/cupy/cupy
requires_dist
  • numpy<2.6,>=1.22
  • fastrlock>=0.5
  • scipy<1.17,>=1.7; extra == "all"
  • Cython>=3; extra == "all"
  • optuna>=2.0; extra == "all"
  • packaging; extra == "test"
  • pytest>=7.2; extra == "test"
  • hypothesis<6.55.0,>=6.37.2; extra == "test"
  • mpmath; extra == "test"
requires_python >=3.9

Because this project isn't in the mirror_whitelist, no releases from root/pypi are included.

File Tox results History
cupy_cuda13x-13.6.0-cp312-cp312-manylinux2014_aarch64.whl
Size
63 MB
Type
Python Wheel
Python
3.12
https://raw.githubusercontent.com/cupy/cupy/main/docs/image/cupy_logo_1000px.png

CuPy : NumPy & SciPy for GPU

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.

This is a CuPy wheel (precompiled binary) package for CUDA 13.x. You need to install CUDA Toolkit 13.x to use these packages.

If you have another version of CUDA, or want to build from source, refer to the Installation Guide for instructions.