CuPy: A NumPy-compatible array library accelerated by 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 ecastill from gravatar.com ecastill Avatar for mtakagi from gravatar.com mtakagi

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Seiya Tokui
  • Requires: Python >=3.5.0
Classifiers

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 11.1. You need to install CUDA Toolkit 11.1 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

Verified details

These details have been verified by PyPI
Owner
organization icon CuPy
Maintainers
Avatar for asi1024 from gravatar.com asi1024 Avatar for ecastill from gravatar.com ecastill Avatar for mtakagi from gravatar.com mtakagi

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Seiya Tokui
  • Requires: Python >=3.5.0
Classifiers

Release history Release notifications | RSS feed

12.3.0

12.2.0

12.1.0

12.0.0

11.6.0

11.5.0

11.4.0

11.3.0

11.2.0

11.1.0

11.0.0

10.6.0

10.5.0

10.4.0

10.3.1

10.3.0 yanked

10.2.0

10.1.0

10.0.0

9.6.0

9.5.0

9.4.0

9.3.0

9.0.0

8.6.0

8.5.0

8.4.0

8.3.0

8.2.0

This version

8.1.0

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_cuda111-8.1.0-cp38-cp38-win_amd64.whl (69.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda111-8.1.0-cp38-cp38-manylinux1_x86_64.whl (189.8 MB view details)

Uploaded CPython 3.8

cupy_cuda111-8.1.0-cp37-cp37m-win_amd64.whl (69.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda111-8.1.0-cp37-cp37m-manylinux1_x86_64.whl (187.2 MB view details)

Uploaded CPython 3.7m

cupy_cuda111-8.1.0-cp36-cp36m-win_amd64.whl (69.3 MB view details)

Uploaded CPython 3.6m Windows x86-64

cupy_cuda111-8.1.0-cp36-cp36m-manylinux1_x86_64.whl (187.2 MB view details)

Uploaded CPython 3.6m

cupy_cuda111-8.1.0-cp35-cp35m-manylinux1_x86_64.whl (186.7 MB view details)

Uploaded CPython 3.5m

File details

Details for the file cupy_cuda111-8.1.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda111-8.1.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 69.4 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_cuda111-8.1.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 76111d32c36624f6e939a6310e8057d9c2bd69b246ac1070402ddf24ed3acf74
MD5 8bb9f71b67c2e88a7a003b47b27f06a7
BLAKE2b-256 a104741b33f92c4d6357554022922a756d06d58e5c110d77f05e0d208d7434f4

See more details on using hashes here.

File details

Details for the file cupy_cuda111-8.1.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda111-8.1.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 189.8 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.2

File hashes

Hashes for cupy_cuda111-8.1.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2ae07b847a179756c2dd021eb0cf0d6a561f00d47f6cdd357b27e8ef9d41b870
MD5 807bf209663d5e74d3923a26d1501899
BLAKE2b-256 8290831a4227b8ccbee2c7daede8c1f75e8ed1d9641871546a6b0cfde0dc1993

See more details on using hashes here.

File details

Details for the file cupy_cuda111-8.1.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda111-8.1.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 69.3 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_cuda111-8.1.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 865f6e9ca9f09b6ee39375c0cda9fe9ea763afae4deb511fbb7c68c673545797
MD5 50e6904f0303af588342b7c9a4f2aa02
BLAKE2b-256 b11953b1a2750cf820b2e1c63cd88458acb8f0bbdf81c0dc9ac6a342fdde9288

See more details on using hashes here.

File details

Details for the file cupy_cuda111-8.1.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda111-8.1.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 187.2 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.2

File hashes

Hashes for cupy_cuda111-8.1.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d30631aca9638d96a3cacc9d900b9293c9ed7deafd188f2d377f8d021f0623d4
MD5 30489da62249d02052b413eaffabd708
BLAKE2b-256 a6c31cb7f7916c54d975e33c13b84d34a0341ab74bb37c6f24d48e3f964f9a50

See more details on using hashes here.

File details

Details for the file cupy_cuda111-8.1.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda111-8.1.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 69.3 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_cuda111-8.1.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 12c737f2cd2de9360a29dd872ed3cea3347bbcd956ad9e856073fa122302408f
MD5 1498968acabf9000d72cffad51e535ff
BLAKE2b-256 7c8a0149deb058c633054003e1fc3bed962ccf4b6161b7a0ea2bad4c80fb4a22

See more details on using hashes here.

File details

Details for the file cupy_cuda111-8.1.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda111-8.1.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 187.2 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.2

File hashes

Hashes for cupy_cuda111-8.1.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2f845d23c8ca0c086e9e7e8cd40f74a4c49d478e8c7d2456025eaeab1492107e
MD5 a600095771da1677a3fddd52c9eaccd5
BLAKE2b-256 7edcc538822da7fc15a8b9e1e471920a0ca64157bb216cf994e7257164b707af

See more details on using hashes here.

File details

Details for the file cupy_cuda111-8.1.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda111-8.1.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 186.7 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.2

File hashes

Hashes for cupy_cuda111-8.1.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 377ec449ea5b085fa588d6bd9ee6810f401745251baf0655ca3e241488269abe
MD5 f3b8a551cb6af2cffc3318598e5c5a71
BLAKE2b-256 b0099adbd72b22e4ae676e3bf96fcb0e09b7f13210232304e6e082c9c61a6907

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