CuPy: NumPy-like API accelerated with CUDA

Navigation

Verified details

These details have been verified by PyPI
Owner
organization icon CuPy
Maintainers
Avatar for asi1024 from gravatar.com asi1024 Avatar for beam2d from gravatar.com beam2d Avatar for delta2323 from gravatar.com delta2323 Avatar for ecastill from gravatar.com ecastill Avatar for hvy from gravatar.com hvy Avatar for mitmul from gravatar.com mitmul Avatar for okuta from gravatar.com okuta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Seiya Tokui
Classifiers

Project description

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

CuPy : NumPy-like API accelerated with CUDA

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

This is a CuPy wheel (precompiled binary) package for CUDA 9.2. You need to install CUDA Toolkit 9.2 to use these packages.

If you have another version of CUDA, please see Installation Guide for instructions. If you want to build CuPy from source distribution, use pip install cupy instead.

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 beam2d from gravatar.com beam2d Avatar for delta2323 from gravatar.com delta2323 Avatar for ecastill from gravatar.com ecastill Avatar for hvy from gravatar.com hvy Avatar for mitmul from gravatar.com mitmul Avatar for okuta from gravatar.com okuta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Seiya Tokui
Classifiers

Release history Release notifications | RSS feed

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

8.4.0

8.3.0

8.2.0

8.1.0

8.0.0

7.8.0

7.7.0

7.6.0

7.5.0

7.4.0

7.3.0

7.2.0

7.1.1

This version

7.1.0

7.0.0

6.7.0

6.6.0

6.5.0

6.4.0

6.3.0

6.2.0

6.1.0

6.0.0

5.4.0

5.3.0

5.2.0

5.1.0

5.0.0

4.5.0

4.4.1

4.4.0

4.3.0

4.2.0

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_cuda92-7.1.0-cp38-cp38-win_amd64.whl (207.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda92-7.1.0-cp38-cp38-manylinux1_x86_64.whl (335.5 MB view details)

Uploaded CPython 3.8

cupy_cuda92-7.1.0-cp37-cp37m-win_amd64.whl (207.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda92-7.1.0-cp37-cp37m-manylinux1_x86_64.whl (335.5 MB view details)

Uploaded CPython 3.7m

cupy_cuda92-7.1.0-cp36-cp36m-win_amd64.whl (207.0 MB view details)

Uploaded CPython 3.6m Windows x86-64

cupy_cuda92-7.1.0-cp36-cp36m-manylinux1_x86_64.whl (335.5 MB view details)

Uploaded CPython 3.6m

cupy_cuda92-7.1.0-cp35-cp35m-manylinux1_x86_64.whl (335.4 MB view details)

Uploaded CPython 3.5m

File details

Details for the file cupy_cuda92-7.1.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda92-7.1.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 207.1 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_cuda92-7.1.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0c9de693d6199dd075655a64a9562a30d660665ebd93fb7f5df6f960fd1e1777
MD5 143fef693b206f7b78b841f35db6b084
BLAKE2b-256 61cdc6cfc2412a44a2cb50c318a8e9900517a515c016cba558a7d98e6e58efe4

See more details on using hashes here.

File details

Details for the file cupy_cuda92-7.1.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda92-7.1.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 335.5 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for cupy_cuda92-7.1.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 fa7a70e7cb0f223ed775b2c0ee48f6e40688c1442dbd7a892bb30245fd5be642
MD5 e8558b2a8d879b7c41c9f4d81a4f3ffa
BLAKE2b-256 1a61e9dac81c12660960afb22d8d56525b21884e376fba3a901d28c479341273

See more details on using hashes here.

File details

Details for the file cupy_cuda92-7.1.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda92-7.1.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 207.0 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_cuda92-7.1.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 fbf450621a33a8a60f91e0b3d7020f53947d141227bbff439d4c7e134c10839d
MD5 b02320c1cc0454a1a7ead42d14530192
BLAKE2b-256 747af7ebe07b90be10cfee4fadebb306c7d354f239bb9ef898f35f8d5008b9f8

See more details on using hashes here.

File details

Details for the file cupy_cuda92-7.1.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda92-7.1.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 335.5 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for cupy_cuda92-7.1.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b0101d6a1a0badcee841cd66386769dfbf2f3f9c45ba6fac34ab4aecc6d77846
MD5 08b38fec79712f131ce776fe672c4289
BLAKE2b-256 0ca37bfd1e42a8a567178f28358a75f802f711571c751f79fa3b4a9f09900d63

See more details on using hashes here.

File details

Details for the file cupy_cuda92-7.1.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda92-7.1.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 207.0 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_cuda92-7.1.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 a6486eb5021827e89f95840dbc6e364680901920884ac230945eee662f1810e9
MD5 e2f9546a14ece45cccf6033aae60f5ec
BLAKE2b-256 44cde80b69d11bdddc782784047427cc36461e84bc9ddd2dbea70356e1d89a33

See more details on using hashes here.

File details

Details for the file cupy_cuda92-7.1.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda92-7.1.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 335.5 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for cupy_cuda92-7.1.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 92c4bc0e205653cfb12b42544de4e1e695c697326de99e6df890721251a841d1
MD5 a938dfed27454f3f2a0a23fab770ff8d
BLAKE2b-256 91d44b7f191b41a077a884e218aaccaff87f3b9135dcb0cfaf35affc5eb4910c

See more details on using hashes here.

File details

Details for the file cupy_cuda92-7.1.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda92-7.1.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 335.4 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for cupy_cuda92-7.1.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 febe8f06733a69fc2943ca9256fe7e7317bbd40c5be52895d70ece4b1d871016
MD5 96b36c872e79bc3f652e9d69c2269398
BLAKE2b-256 cf582e3ca0929f402cffc1dd3bd9e710cd9df1791c37e684c477347be2a5d112

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