Skip to main content

CuPy: A NumPy-compatible array library accelerated by CUDA

Project description

https://raw.githubusercontent.com/cupy/cupy/master/docs/image/cupy_logo_1000px.png

CuPy : A NumPy-compatible array library accelerated by CUDA

CuPy is an implementation of NumPy-compatible multi-dimensional array on CUDA.

This is a CuPy wheel (precompiled binary) package for CUDA 11.0. You need to install CUDA Toolkit 11.0 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


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_cuda110-8.5.0-cp39-cp39-win_amd64.whl (55.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

cupy_cuda110-8.5.0-cp39-cp39-manylinux1_x86_64.whl (166.5 MB view details)

Uploaded CPython 3.9

cupy_cuda110-8.5.0-cp38-cp38-win_amd64.whl (55.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda110-8.5.0-cp38-cp38-manylinux1_x86_64.whl (167.9 MB view details)

Uploaded CPython 3.8

cupy_cuda110-8.5.0-cp37-cp37m-win_amd64.whl (55.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda110-8.5.0-cp37-cp37m-manylinux1_x86_64.whl (165.3 MB view details)

Uploaded CPython 3.7m

cupy_cuda110-8.5.0-cp36-cp36m-win_amd64.whl (55.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

cupy_cuda110-8.5.0-cp36-cp36m-manylinux1_x86_64.whl (165.3 MB view details)

Uploaded CPython 3.6m

cupy_cuda110-8.5.0-cp35-cp35m-manylinux1_x86_64.whl (164.8 MB view details)

Uploaded CPython 3.5m

File details

Details for the file cupy_cuda110-8.5.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.5.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 55.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_cuda110-8.5.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 49bdf9b39e205f7ec7895ec6fea343163f2a004d2ada22e2cc71925ab150be34
MD5 773fa8066a18bad7b4763f8ed79d0a30
BLAKE2b-256 9122ef4e37c2e4e2fda5d4ed16d1174ff34ab259a877d3cac2226de550f1e60e

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.5.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.5.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 166.5 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

File hashes

Hashes for cupy_cuda110-8.5.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3f2bead689351c62969c154e55ee5e4b68af9945b31d34cad9a3d6e9e6b5be52
MD5 e04f1f551b810dc3a20e66cc6151a03a
BLAKE2b-256 abb504d99027818684cb6f6786a5e25ca75ef00a89718c693140182963085c98

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.5.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.5.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 55.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_cuda110-8.5.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 14f8774c6ee526718dd2f4f91995135f5868aa7909d9d235bd5ca6ff2ea46456
MD5 660960add2ddb9b84afd0b95acea980f
BLAKE2b-256 94730273e9b8a7b3b20850ef909b22066cb7ca94c459e15f322a91681773dea8

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.5.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.5.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 167.9 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

File hashes

Hashes for cupy_cuda110-8.5.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 868a180cee6a158cc03a8e32a265497315172956360103777c2c51d4d61c2944
MD5 a4bcce84780fef978be2a5cb1ae29808
BLAKE2b-256 6245db71cf744a5f40f05fd0f47e8a4f2447029bb76aba298949d7b68a2eb692

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.5.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.5.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 55.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_cuda110-8.5.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 201e024efe33e418b3424b17dfa459d6761970920a0532b1b48c255db6b301b6
MD5 3f3bd891f7baa68dce52028e8c345ca4
BLAKE2b-256 b6aceddfda08c0b20c41a4fb08a7bd3fa4b72103764e1d3e8b0f6910a6d9d9cb

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.5.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.5.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 165.3 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

File hashes

Hashes for cupy_cuda110-8.5.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0da3e8a1a579c5f57fdc201e65e55d00c1a4bb15e4ad154c86feaab3252300bd
MD5 03e51a2722a2d997364d1712f7259267
BLAKE2b-256 f048f0e9a362a0bafec84c2b9a9d03eee5b53b18f38130aaeec3752b2b942b30

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.5.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.5.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 55.8 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_cuda110-8.5.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 5beff0a550936c59e48d4c941b0dd72b62afc18cfbd0d56769f00c539faf442f
MD5 04f75f3b262b475e3d42c7e999ffea50
BLAKE2b-256 e1e43420842555dce9d89ee2fa21e42508a61c5a92e3b8ded7da56dd9307bc7d

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.5.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.5.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 165.3 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

File hashes

Hashes for cupy_cuda110-8.5.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9cbdcb0a0294319d5d654c39b80fc61848915893ca4c23a56e42ca218209c3ba
MD5 b20d9fc4efe423a243b27842861c27ff
BLAKE2b-256 ea22dfa05663476839ab2cf729e7953176384e9b9d77b275cb666cfb21ada070

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.5.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.5.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 164.8 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

File hashes

Hashes for cupy_cuda110-8.5.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0a4d2d5afe657fe5c6f5801579ba932268b3f7441cc2cf0cba4412c4376e9fca
MD5 a3dc780f6cb71295148915b833005ac9
BLAKE2b-256 0d892fda3045abd043a46d870da695e16f0b6b0629a25ba0369c450bdb2300ee

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