Skip to main content

CuPy: NumPy & SciPy for GPU

Project description

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

CuPy : NumPy & SciPy for GPU

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.

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


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_cuda111-10.2.0-cp310-cp310-win_amd64.whl (80.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

cupy_cuda111-10.2.0-cp310-cp310-manylinux1_x86_64.whl (98.2 MB view details)

Uploaded CPython 3.10

cupy_cuda111-10.2.0-cp39-cp39-win_amd64.whl (80.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

cupy_cuda111-10.2.0-cp39-cp39-manylinux1_x86_64.whl (98.1 MB view details)

Uploaded CPython 3.9

cupy_cuda111-10.2.0-cp38-cp38-win_amd64.whl (80.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda111-10.2.0-cp38-cp38-manylinux1_x86_64.whl (99.9 MB view details)

Uploaded CPython 3.8

cupy_cuda111-10.2.0-cp37-cp37m-win_amd64.whl (80.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda111-10.2.0-cp37-cp37m-manylinux1_x86_64.whl (96.6 MB view details)

Uploaded CPython 3.7m

File details

Details for the file cupy_cuda111-10.2.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda111-10.2.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 80.4 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda111-10.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 850dedfe011a3b85e79b069ef666217b7d5b64587259668504039a5af4c48090
MD5 858034673ce38daa6809581b5f3d9ac9
BLAKE2b-256 b5945bdd5fb2f26091844a7da65896789c7e74675e7980dd0b7490f2fd625f75

See more details on using hashes here.

File details

Details for the file cupy_cuda111-10.2.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda111-10.2.0-cp310-cp310-manylinux1_x86_64.whl
  • Upload date:
  • Size: 98.2 MB
  • Tags: CPython 3.10
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda111-10.2.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7e413096ba0857961759ee31db45e65d1b33c2369812c4e02bb223a39e4171d9
MD5 2c73fdb757a2dc2a214155ff2bd99f7f
BLAKE2b-256 0277db2c78ee3ee0a948cff4fc8638ceb936fa197ef2d4a9ebeb71a8ac7a7141

See more details on using hashes here.

File details

Details for the file cupy_cuda111-10.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda111-10.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 80.4 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda111-10.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 980619c791a3e35640622e6eb49381849fda1a9cfc9a449b6dee7c55840b711f
MD5 fec7e81141e75e2d43e10277f3f3ac7b
BLAKE2b-256 b961d9523c599f2faae0bd15a8eb8bb0e0cdc0df694e275168242925fcb93632

See more details on using hashes here.

File details

Details for the file cupy_cuda111-10.2.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda111-10.2.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 98.1 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda111-10.2.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 26cb5df07e725cdf93a18f82b10bc6b3d3f6f270ac0e5b0fe034b09098fce703
MD5 4332b2775f29aa473ae7e88182db4e05
BLAKE2b-256 89eb538d3b58bdc60f2a09e003635499448c8f49f01874a06ae81c6b60a4a05e

See more details on using hashes here.

File details

Details for the file cupy_cuda111-10.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda111-10.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 80.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda111-10.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d1a5a9dac4658996dcd430862a94779c306b200e28b5898460762f0b42a6d60a
MD5 f69d92887187dba725e5466736d3d98d
BLAKE2b-256 604fcefb3bd92de8f924122813da61c49cdde0615db86f3cfb39a518822e7fc1

See more details on using hashes here.

File details

Details for the file cupy_cuda111-10.2.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda111-10.2.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 99.9 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda111-10.2.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d5dab3dde3b5ae8c1351e9c7aea56b107c39d0c3e32592ff6ce1438bae9d3230
MD5 a1e5523fd7ec36f0eff9b97c6e544bb6
BLAKE2b-256 f53a8565f59cb596af0b949faead3a2b322366b6435392d99b413376192bc98a

See more details on using hashes here.

File details

Details for the file cupy_cuda111-10.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda111-10.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 80.3 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda111-10.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1a304a3a1d0bdf156cecb7cd4e8c199cdaacbfef05878faed471e30d60ce39e4
MD5 4b9b997405ca68a71a30c4b6008b23bf
BLAKE2b-256 019ec6385d927e040feba94605f79b6e5f60c40e22a4e95f0f8ce427a28e9a6e

See more details on using hashes here.

File details

Details for the file cupy_cuda111-10.2.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda111-10.2.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 96.6 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda111-10.2.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 fb55920c3c5b664ded1b8f65f8f2e853899ffc86c5fb9aff0e3dbc68b97ab701
MD5 45d3979fd4e8e4e52330be1f7d024999
BLAKE2b-256 ebc97ffc8e4a6e63c98929e518387113cf5a796d2e7676b8955c79dfe012b1aa

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