Skip to main content

CuPy: NumPy-like API accelerated with 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 10.2. You need to install CUDA Toolkit 10.2 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_cuda102-8.0.0-cp38-cp38-win_amd64.whl (39.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda102-8.0.0-cp38-cp38-manylinux1_x86_64.whl (121.7 MB view details)

Uploaded CPython 3.8

cupy_cuda102-8.0.0-cp37-cp37m-win_amd64.whl (39.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda102-8.0.0-cp37-cp37m-manylinux1_x86_64.whl (119.8 MB view details)

Uploaded CPython 3.7m

cupy_cuda102-8.0.0-cp36-cp36m-win_amd64.whl (39.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

cupy_cuda102-8.0.0-cp36-cp36m-manylinux1_x86_64.whl (119.8 MB view details)

Uploaded CPython 3.6m

cupy_cuda102-8.0.0-cp35-cp35m-manylinux1_x86_64.whl (119.3 MB view details)

Uploaded CPython 3.5m

File details

Details for the file cupy_cuda102-8.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda102-8.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 39.9 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_cuda102-8.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 cc6aaa1c7943187e18a9afe64da1503161ad7fa2d68f279888c364497367b1be
MD5 8d3ccfb6b989dffa2c43b3ecd0a90d00
BLAKE2b-256 8bb7c0f96bd16ca229b38fcfca9f6fbc31795a12e591ed4253dbd94534a46995

See more details on using hashes here.

File details

Details for the file cupy_cuda102-8.0.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda102-8.0.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 121.7 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.7.8

File hashes

Hashes for cupy_cuda102-8.0.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7686148ceaf62cd11baf16500f74e2833fda7392d22b1f63c8c500967e220f44
MD5 40ce5a6e576cab3de6c86f30f037806f
BLAKE2b-256 ecd5f7c7ac1df20a4a87853540a93bdde7b000133cced28e5dbfaf62f0cf1ef9

See more details on using hashes here.

File details

Details for the file cupy_cuda102-8.0.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda102-8.0.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 39.8 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_cuda102-8.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 af2d835b68d101343bdac4c572a7a19986f83489a78745bb54cda59d667a3c07
MD5 ba300e1ead3b092fb7a73963dc9ff7cd
BLAKE2b-256 64ee96d8e6c36e8ba8e6b76829fe7c79cfca1a15d1acb7f1071e29cef4786a5a

See more details on using hashes here.

File details

Details for the file cupy_cuda102-8.0.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda102-8.0.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 119.8 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.7.8

File hashes

Hashes for cupy_cuda102-8.0.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c7f0c7fbda8c17e81474483451a8563eb46ef7606d4b530751c8f2887247365c
MD5 c1974257d651b416d2e7c5a6b5dc96ee
BLAKE2b-256 9e07feb0fcd8f2d5e35b0d015a28972397530edff7e0fb38b60c2b6b11b10ebf

See more details on using hashes here.

File details

Details for the file cupy_cuda102-8.0.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda102-8.0.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 39.8 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_cuda102-8.0.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 ef1c5fe0341de05751424a7c427c309e4afc25fed978a351309581db13ed1781
MD5 7ecd8441cd162570f551d6caf6dd4cf5
BLAKE2b-256 e3696a184ea5788c2591eb05f9002bfd23e373847e074f1964f3f961198cf083

See more details on using hashes here.

File details

Details for the file cupy_cuda102-8.0.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda102-8.0.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 119.8 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.7.8

File hashes

Hashes for cupy_cuda102-8.0.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9dc2039d5929cfdb877c53baf925a525539e027d3e5d8e6772f555a17bdc0b89
MD5 dfcdf49f642430010da53602edd3cc93
BLAKE2b-256 733e83b38889399908fa24845fcde6f0c414d1720d7f6e9300458674330ac27a

See more details on using hashes here.

File details

Details for the file cupy_cuda102-8.0.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda102-8.0.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 119.3 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.7.8

File hashes

Hashes for cupy_cuda102-8.0.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c9d77f99ac94ae2c1ce172b3b679bc079df42f3a47a28ee726d203ed17684cd2
MD5 308d46bb60598ea88be8a9241c244bba
BLAKE2b-256 ed9f39df5e9b1c81e918c1a10b9a9dec6ee92748ed58b399a9a84726b24e205f

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