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_cuda110-8.4.0-cp38-cp38-win_amd64.whl (55.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda110-8.4.0-cp38-cp38-manylinux1_x86_64.whl (158.2 MB view details)

Uploaded CPython 3.8

cupy_cuda110-8.4.0-cp37-cp37m-win_amd64.whl (55.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda110-8.4.0-cp37-cp37m-manylinux1_x86_64.whl (155.6 MB view details)

Uploaded CPython 3.7m

cupy_cuda110-8.4.0-cp36-cp36m-win_amd64.whl (55.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

cupy_cuda110-8.4.0-cp36-cp36m-manylinux1_x86_64.whl (155.7 MB view details)

Uploaded CPython 3.6m

cupy_cuda110-8.4.0-cp35-cp35m-manylinux1_x86_64.whl (155.1 MB view details)

Uploaded CPython 3.5m

File details

Details for the file cupy_cuda110-8.4.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.4.0-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_cuda110-8.4.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 29ecdf8a9921bddafeeb0455703b61a0e63954edf672602614435e025cc302d0
MD5 181c497e64343948ae9f871c162a58a3
BLAKE2b-256 4461acf873c1def8fcf6c22dbc18f48da50c00e75249eb6c925213c1e9d42b16

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.4.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.4.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 158.2 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 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_cuda110-8.4.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6e4af861c833f52167e5f69e39a8cc6e79500317db8bbabae278280729817bf2
MD5 9ea1c29439944b058d5ab8a5a910b536
BLAKE2b-256 059fb17f9125024ae39391eca26bbc784d3eb3fdb100a9b4854800c71c8e3b6c

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.4.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.4.0-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_cuda110-8.4.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 798861543dbdebc975f7e8c1a395fea86038bd81a2063d7163b1e459d62729f8
MD5 1b19fe9f90489bd55ced10eb6f34d76a
BLAKE2b-256 e3103c49e8c44c8f33a85b29cb209e361ad164b57dc233c2e9902eead6f92539

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.4.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.4.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 155.6 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 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_cuda110-8.4.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1a62b3d9ba9efe0816207c1076e4280448a3182713d9a61a23b20d01651fcad9
MD5 a92b61368c891524abd0b27295383c8b
BLAKE2b-256 7305ba46a4add0745956861d699529281fc17b21fb68ca256191facb2e7133c7

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.4.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-8.4.0-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_cuda110-8.4.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 6ea1a13fb3c95a81c8a41b46db41c6e7f94790dd0f83ad6f1148428591801624
MD5 c25da6bbd13375918b7e159c30d3d84d
BLAKE2b-256 2cd11a0f59e11dc33482f4ab50784382b308eca0c80332213ec10b42fb645270

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.4.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.4.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 155.7 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 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_cuda110-8.4.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d897daf52e7b41baf2713f73931a20596289ed0b0746d32883864d35599dd0e5
MD5 7776e3ded15d9b69286b6ab5b7728b15
BLAKE2b-256 a9163b183b0230cdeb53fb1d3b51630b2b7f2877d98b938371ef879400e8ed8b

See more details on using hashes here.

File details

Details for the file cupy_cuda110-8.4.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-8.4.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 155.1 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 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_cuda110-8.4.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7f2107eaf41c6b480e6b4d678224a82a13e8cfdfe3058dde8595dfb0b7d8a66b
MD5 d48248601e111fea4337e9eb63ba8b0c
BLAKE2b-256 bc0c37a3d37b36871c1577a5cc1f2c6d48ad19adc4b45b95f1bfac6f9e052147

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