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 9.0. You need to install CUDA Toolkit 9.0 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

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

This version

7.1.1

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

4.1.0

4.0.0

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_cuda90-7.1.1-cp38-cp38-win_amd64.whl (202.5 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda90-7.1.1-cp38-cp38-manylinux1_x86_64.whl (296.3 MB view details)

Uploaded CPython 3.8

cupy_cuda90-7.1.1-cp37-cp37m-win_amd64.whl (202.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda90-7.1.1-cp37-cp37m-manylinux1_x86_64.whl (296.3 MB view details)

Uploaded CPython 3.7m

cupy_cuda90-7.1.1-cp36-cp36m-win_amd64.whl (202.4 MB view details)

Uploaded CPython 3.6m Windows x86-64

cupy_cuda90-7.1.1-cp36-cp36m-manylinux1_x86_64.whl (296.3 MB view details)

Uploaded CPython 3.6m

cupy_cuda90-7.1.1-cp35-cp35m-manylinux1_x86_64.whl (296.2 MB view details)

Uploaded CPython 3.5m

File details

Details for the file cupy_cuda90-7.1.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda90-7.1.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 202.5 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_cuda90-7.1.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 aa850b36f0bbc115d3e85bd691a17df2bc3540ab519ee3ec67303e0083b70475
MD5 b3dd071c64946a459a8a791fa1923ddc
BLAKE2b-256 7287ca342785eed5ca1eac862dd3e7330901209c716a212eec83c9b0dacd04fb

See more details on using hashes here.

File details

Details for the file cupy_cuda90-7.1.1-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda90-7.1.1-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 296.3 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_cuda90-7.1.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 be2d0fc257d1b928f6a77ca80eef6a3caf6d76e951fc7aba7a45a127aaceb704
MD5 05096d50a054e0f4f76fa420c604017a
BLAKE2b-256 73031bb4687238cc99cb3526b8bed2be72ddca02d06c65b14e3be6ef0a5c8663

See more details on using hashes here.

File details

Details for the file cupy_cuda90-7.1.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda90-7.1.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 202.4 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_cuda90-7.1.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e133c8e665e1a465526ee03564527e1a9d669cf4cad137a4790aaaf53178bc5b
MD5 6906fbc5726f5a1eadbec73c053ee4a3
BLAKE2b-256 8f93b5a244a710885328526fea2b533e39f9c9707c4290cb2ffe45b17b118fb8

See more details on using hashes here.

File details

Details for the file cupy_cuda90-7.1.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda90-7.1.1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 296.3 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_cuda90-7.1.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 f192c4f3938c6a9f1c25040922ed06101f4512a206049454ba2a3a59e785596f
MD5 2fb27d025ef776208c9591004b41c894
BLAKE2b-256 c645f5de0fd2fd5ec27cf1b75ee1a6c95fd111b895ebdf49d64e147666351536

See more details on using hashes here.

File details

Details for the file cupy_cuda90-7.1.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda90-7.1.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 202.4 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_cuda90-7.1.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 31271dbf9d1ddb0e10b68e224f355b84a7eb51075935ec008a198ba97c6ea94b
MD5 1ebe29cdcceb201f4489c84ca95577fb
BLAKE2b-256 95045d14aeef02a11b59ec868cb9e3d3fda47654eb3e5dc3741882fb9cf2460c

See more details on using hashes here.

File details

Details for the file cupy_cuda90-7.1.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda90-7.1.1-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 296.3 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_cuda90-7.1.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c740cde0285b3022550a64728a02eb105392e848107a25322ecb1f4dc4aaf2a6
MD5 5935f4eea3e57039fb8f1f05fc4f63f2
BLAKE2b-256 1c8872e7c92652d21e06ab8e31412f4e22e14a7847974ac30d9002262fe8ef92

See more details on using hashes here.

File details

Details for the file cupy_cuda90-7.1.1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda90-7.1.1-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 296.2 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_cuda90-7.1.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9f7e8010a7369a43a0dc69b42be136d980fc15ee3f6244b92d876a95961063fc
MD5 ef16f14833f1a2cdf167a0c3d82c8c6a
BLAKE2b-256 3daf32eb138f62ad95f17f9599c39566236923c96d2d1a14e105d53c3598f44a

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