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_cuda110-8.1.0-cp38-cp38-win_amd64.whl (55.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda110-8.1.0-cp38-cp38-manylinux1_x86_64.whl (158.4 MB view details)

Uploaded CPython 3.8

cupy_cuda110-8.1.0-cp37-cp37m-win_amd64.whl (55.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda110-8.1.0-cp37-cp37m-manylinux1_x86_64.whl (155.7 MB view details)

Uploaded CPython 3.7m

cupy_cuda110-8.1.0-cp36-cp36m-win_amd64.whl (55.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

cupy_cuda110-8.1.0-cp36-cp36m-manylinux1_x86_64.whl (155.8 MB view details)

Uploaded CPython 3.6m

cupy_cuda110-8.1.0-cp35-cp35m-manylinux1_x86_64.whl (155.3 MB view details)

Uploaded CPython 3.5m

File details

Details for the file cupy_cuda110-8.1.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.1.0-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/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/36.6.0 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.14

File hashes

Hashes for cupy_cuda110-8.1.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d7807af9ca683e262d9b640a2e7e709fea3750e3b93ffa95c56c64f2e7a21700
MD5 a290e85952e34be2aaebb6502dd64ac5
BLAKE2b-256 ee3beca702c78b1dbeddaca37447308572fee96ff9f015cd014d9e392e742174

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.1.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.1.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 158.4 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.21.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.8

File hashes

Hashes for cupy_cuda110-8.1.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3daa9b34571e673b834dfad2de18ccae9a9148e590b61ab16cb4eefa113509a3
MD5 596bed124f4b53f7ec4b061ae8d195fb
BLAKE2b-256 c94a4eb3788248c90d01edf7f3854c45b6d4fb481d41cba193c8c208811166e0

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.1.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.1.0-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/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/36.6.0 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.14

File hashes

Hashes for cupy_cuda110-8.1.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 69c708db7e2794d98d775fd42dd064babd363e71a695dfa86c6576b7d3a9db6f
MD5 0e5fdab0a68cc41463f1b40a86475352
BLAKE2b-256 5be708281e7ab35504c51ba1a8df986fdff8049b5f40c6bd962f5539aab11891

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.1.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.1.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 155.7 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.21.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.8

File hashes

Hashes for cupy_cuda110-8.1.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0bb2c54f4037106ae0dc8dd90ff324da0029f78b22e06fc70c38272c0f9f2474
MD5 c4d053822da7259602daff045bcbcbd4
BLAKE2b-256 a077bc323233a739ab3f9ef5aa93fdef649152be94d5397f46fddaa167fa3d58

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.1.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.1.0-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/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/36.6.0 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.14

File hashes

Hashes for cupy_cuda110-8.1.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 94a4e1f364a3ae1fdf0ead3dfde4049b5ddb437d61945ef3755389be47a67a2c
MD5 7476afaad143f5e79f5e725c1ef05232
BLAKE2b-256 e0b612402a8693d6bb75f9b884c15fde37befca47e1b435a7fdcc2891ba70a80

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.1.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.1.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 155.8 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.21.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.8

File hashes

Hashes for cupy_cuda110-8.1.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a00fe3b0c475572908684c41edc877a2bbb86d1be557773c5be1e5c6f8e45aa5
MD5 18e90df6c0cb3270f9275e4728c6aad4
BLAKE2b-256 fd730d892d7f9bf6da3c5468ef014b64e8eddf1fa5a745f459e04570d4de3b37

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.1.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.1.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 155.3 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.21.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.8

File hashes

Hashes for cupy_cuda110-8.1.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 83e4a1cab5cbf1e634e2d83bfe0c0e6cc7e3a345bc9fe00d70a6f2bd718a371c
MD5 46952d3c5489c9d87adc60eab05a9ac4
BLAKE2b-256 ae32207402024df83da3d910b4ffb1965fdc15e98dc5098774665782d53c2498

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