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 11.2. You need to install CUDA Toolkit 11.2 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

This version

10.5.0

10.4.0

10.3.1

10.3.0 yanked

10.2.0

10.1.0

10.0.0

9.6.0

9.5.0

9.4.0

9.3.0

9.2.0

9.1.0

9.0.0

8.6.0

8.5.0

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_cuda112-10.5.0-cp310-cp310-win_amd64.whl (60.2 MB view details)

Uploaded CPython 3.10 Windows x86-64

cupy_cuda112-10.5.0-cp310-cp310-manylinux1_x86_64.whl (79.0 MB view details)

Uploaded CPython 3.10

cupy_cuda112-10.5.0-cp39-cp39-win_amd64.whl (60.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

cupy_cuda112-10.5.0-cp39-cp39-manylinux1_x86_64.whl (78.9 MB view details)

Uploaded CPython 3.9

cupy_cuda112-10.5.0-cp38-cp38-win_amd64.whl (60.3 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda112-10.5.0-cp38-cp38-manylinux1_x86_64.whl (80.7 MB view details)

Uploaded CPython 3.8

cupy_cuda112-10.5.0-cp37-cp37m-win_amd64.whl (60.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda112-10.5.0-cp37-cp37m-manylinux1_x86_64.whl (77.4 MB view details)

Uploaded CPython 3.7m

File details

Details for the file cupy_cuda112-10.5.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda112-10.5.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 60.2 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_cuda112-10.5.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 62e1be919b27d82dd6a121600de22cacbf6f93f9eaf70c88cd78cbf46418757a
MD5 401aeb39e4cddc9517cf021572d7e066
BLAKE2b-256 c839e1506a141338bb31fba57cff177a8e2a3f64ac3f8db88ccb83864592a824

See more details on using hashes here.

File details

Details for the file cupy_cuda112-10.5.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda112-10.5.0-cp310-cp310-manylinux1_x86_64.whl
  • Upload date:
  • Size: 79.0 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_cuda112-10.5.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0ef06367b3d6e2c8d7a3bc04b6be99dc59e145000bbdef5a2cf0fd3e6be09cf7
MD5 3c5908ddbb7a270aed7e4cb79e147a6a
BLAKE2b-256 352e86912fec6c2101cfcf3e01ab2e4769c1747238b18cb1b760a719b92118b6

See more details on using hashes here.

File details

Details for the file cupy_cuda112-10.5.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda112-10.5.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 60.3 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_cuda112-10.5.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 be56a597130250f0a6c7f6cfa447df0f13d42dadb26c3cf1e94b06dd5027413a
MD5 282e0caa542e71c799e89619100655b2
BLAKE2b-256 fdf07fb972ce3b901ac22e98baaf1a4bff520fab4fa52ecc2877807904c90753

See more details on using hashes here.

File details

Details for the file cupy_cuda112-10.5.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda112-10.5.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 78.9 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_cuda112-10.5.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 37dbcff4b4cfb99f54bd5982e9043545b2ea6f8d79140cedeb762029aa71e9a1
MD5 18bda4ce0f30eda451ff6acefd8d82bb
BLAKE2b-256 948ac59d0617cd2b6bdb7943810384a5f4aa5039146c3964df1422bd892998e2

See more details on using hashes here.

File details

Details for the file cupy_cuda112-10.5.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda112-10.5.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 60.3 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_cuda112-10.5.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 9c50e9a5c5ad681b7fa9d5667ab7116e88f9e8aaaa7284816e9712dd40ee19f5
MD5 4c20cff6c20c5628d1e037ae72ff0a38
BLAKE2b-256 f190764a18b96c96c8945d56fcac9d8de39a42d6be8ff639850b4e69e70a16b6

See more details on using hashes here.

File details

Details for the file cupy_cuda112-10.5.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda112-10.5.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 80.7 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_cuda112-10.5.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 50db0829c820b81ef617b6b4c9cf46f4c0e3f561f928aa4209a72f23dfb9004e
MD5 8859d036d33e154197aa7baa1284dade
BLAKE2b-256 d243dcd8330a17f52f590f3a024643374f733bf9183c4b1558cbd8816da1792b

See more details on using hashes here.

File details

Details for the file cupy_cuda112-10.5.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda112-10.5.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 60.2 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_cuda112-10.5.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b5f2574a943c775ecf6d0cd806f756863620e7c294147ee9299869c2ce016fc7
MD5 b90ea278b659e8e946235f1aafddd93d
BLAKE2b-256 b861c96e8dcbb04d65642a182fbf3f4a71f60f34ebaabed17c4c55a8bc01e4d1

See more details on using hashes here.

File details

Details for the file cupy_cuda112-10.5.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda112-10.5.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 77.4 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_cuda112-10.5.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 511670686a1f47487610387ffcc12b879583b4c7e7640c1267c73fc2f6a3cf57
MD5 01e50c373de296d0dbde26779ca48c4b
BLAKE2b-256 a83ec8ebd90a391cc970896cd60fa5b8bd47eb7d4533d07e71b9af026473a9aa

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