CuPy: NumPy & SciPy for GPU

Navigation

Verified details

These details have been verified by PyPI
Owner
organization icon CuPy
Maintainers
Avatar for asi1024 from gravatar.com asi1024 Avatar for ecastill from gravatar.com ecastill

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Seiya Tokui
  • Maintainer: CuPy Developers
  • Requires: Python >=3.7
Classifiers

Project description

https://raw.githubusercontent.com/cupy/cupy/master/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 11.4. You need to install CUDA Toolkit 11.4 to use these packages.

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

Project details

Verified details

These details have been verified by PyPI
Owner
organization icon CuPy
Maintainers
Avatar for asi1024 from gravatar.com asi1024 Avatar for ecastill from gravatar.com ecastill

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Seiya Tokui
  • Maintainer: CuPy Developers
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

10.6.0

10.5.0

10.4.0

10.3.1

10.3.0 yanked

This version

10.2.0

10.1.0

10.0.0

9.6.0

9.5.0

9.4.0

9.3.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

cupy_cuda114-10.2.0-cp310-cp310-win_amd64.whl (65.9 MB view details)

Uploaded CPython 3.10 Windows x86-64

cupy_cuda114-10.2.0-cp310-cp310-manylinux1_x86_64.whl (84.9 MB view details)

Uploaded CPython 3.10

cupy_cuda114-10.2.0-cp39-cp39-win_amd64.whl (65.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

cupy_cuda114-10.2.0-cp39-cp39-manylinux1_x86_64.whl (84.8 MB view details)

Uploaded CPython 3.9

cupy_cuda114-10.2.0-cp38-cp38-win_amd64.whl (65.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda114-10.2.0-cp38-cp38-manylinux1_x86_64.whl (86.6 MB view details)

Uploaded CPython 3.8

cupy_cuda114-10.2.0-cp37-cp37m-win_amd64.whl (65.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda114-10.2.0-cp37-cp37m-manylinux1_x86_64.whl (83.3 MB view details)

Uploaded CPython 3.7m

File details

Details for the file cupy_cuda114-10.2.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda114-10.2.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 65.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda114-10.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 6e668ad527b309c6b44bacb4fb5858c322ff5fe01286624215ecbb0643a9e77f
MD5 8ee040fe3328235463fce3b7316bfd43
BLAKE2b-256 6c8016e9d9cf4aba822f9599a8a2e36be64b70f9534ca2bc02d71a0f0fea86cd

See more details on using hashes here.

File details

Details for the file cupy_cuda114-10.2.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda114-10.2.0-cp310-cp310-manylinux1_x86_64.whl
  • Upload date:
  • Size: 84.9 MB
  • Tags: CPython 3.10
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda114-10.2.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ff811af7db6c25a99d57fec129be19fe0a83e6b403de1b79b7b3de7287ff202e
MD5 3618279546bb3a82a6068e4e19250fd2
BLAKE2b-256 85702a5dd71da9a1386cf60cc76ab1ecd73018bb8cf186750ce6b568788373f1

See more details on using hashes here.

File details

Details for the file cupy_cuda114-10.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda114-10.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 65.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda114-10.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 6fbfb5f7693f166cbffe5975a5d11b6aedeea09e9036f57b5c46a2ee56d9b2f2
MD5 de69c29528fef717289511f8f11553b6
BLAKE2b-256 b1f822647fc065f2b57e93c1d7b7f54900b4e49021a1fd5f4c9f66f25ef2e3c5

See more details on using hashes here.

File details

Details for the file cupy_cuda114-10.2.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda114-10.2.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 84.8 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda114-10.2.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 beabbc2acb6c0e465a7093f95f7fa7a3b6d6143a7b3c5be9ce8e0692fd30a330
MD5 d2bb799d5d1140202b17e961bd37139f
BLAKE2b-256 d6c9cf76366e4306c45e8902e09e5afe6e4fd93ed7c98458862e3b8908c0db39

See more details on using hashes here.

File details

Details for the file cupy_cuda114-10.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda114-10.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 65.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda114-10.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b2c3dd6d3084419eb5cb2c9d77b0c73291e092ba3697383cb0a84676b83f8891
MD5 9ea8e3349b3c2eaa08a97c58cbae9eae
BLAKE2b-256 31103cbca26ca2a9ac2b8d2f2dad600cb0c18a6816aabb3b9ac907731352d54a

See more details on using hashes here.

File details

Details for the file cupy_cuda114-10.2.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda114-10.2.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 86.6 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda114-10.2.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 fcb48b00087f6f58916831d1e7377175743204545077142ff45493926b0807a2
MD5 44c94867a90ca6ff6530fe5ca8fccb9c
BLAKE2b-256 b35b5be8e530e85e8e49762c75101eb58fdffc9a9953643059cc85614433d53c

See more details on using hashes here.

File details

Details for the file cupy_cuda114-10.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda114-10.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 65.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda114-10.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 87517219b03d74dd32c623c541107115086020eca5049350c5396298ed6d2cfc
MD5 1965af70e3eba551d8cbeba216941ff8
BLAKE2b-256 90aa0d1829a142f9423231f9ceb062ee8183e8dfeccdc78adc2f84d35efb13bb

See more details on using hashes here.

File details

Details for the file cupy_cuda114-10.2.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda114-10.2.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 83.3 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda114-10.2.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 adcb9f1e6bb3af6472e3775ef45db83779fec9cc5f9a6a09c7dcaac313070e9d
MD5 34618f06fbd0245d04d4cf7ca2cc1f86
BLAKE2b-256 728b45b471338c538ad4d282fef50892eac14b8caf3e91eefb41d1eb987a1863

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page