CuPy: NumPy & SciPy for GPU

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 ecastill from gravatar.com ecastill Avatar for mtakagi from gravatar.com mtakagi 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
  • Maintainer: CuPy Developers
  • Requires: Python >=3.7
Classifiers

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 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

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 ecastill from gravatar.com ecastill Avatar for mtakagi from gravatar.com mtakagi 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
  • Maintainer: CuPy Developers
  • Requires: Python >=3.7
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

This version

10.0.0

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

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_cuda102-10.0.0-cp310-cp310-win_amd64.whl (45.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

cupy_cuda102-10.0.0-cp310-cp310-manylinux2014_aarch64.whl (36.2 MB view details)

Uploaded CPython 3.10

cupy_cuda102-10.0.0-cp310-cp310-manylinux1_x86_64.whl (63.2 MB view details)

Uploaded CPython 3.10

cupy_cuda102-10.0.0-cp39-cp39-win_amd64.whl (45.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

cupy_cuda102-10.0.0-cp39-cp39-manylinux2014_aarch64.whl (36.1 MB view details)

Uploaded CPython 3.9

cupy_cuda102-10.0.0-cp39-cp39-manylinux1_x86_64.whl (63.1 MB view details)

Uploaded CPython 3.9

cupy_cuda102-10.0.0-cp38-cp38-win_amd64.whl (45.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda102-10.0.0-cp38-cp38-manylinux2014_aarch64.whl (37.6 MB view details)

Uploaded CPython 3.8

cupy_cuda102-10.0.0-cp38-cp38-manylinux1_x86_64.whl (64.8 MB view details)

Uploaded CPython 3.8

cupy_cuda102-10.0.0-cp37-cp37m-win_amd64.whl (44.9 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda102-10.0.0-cp37-cp37m-manylinux2014_aarch64.whl (34.4 MB view details)

Uploaded CPython 3.7m

cupy_cuda102-10.0.0-cp37-cp37m-manylinux1_x86_64.whl (61.6 MB view details)

Uploaded CPython 3.7m

File details

Details for the file cupy_cuda102-10.0.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 45.0 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9d450571782fd584f5cb5c8cd56aeebb9d1c49cbc932ec7ba33fd83cc29839fd
MD5 188cf9bb885776ec515aa4da3cbae9df
BLAKE2b-256 821812b30e7d00200acfea2043dcb2dc283b5c153be77dcd7d2729887f069364

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp310-cp310-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 36.2 MB
  • Tags: CPython 3.10
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7d741bb9c0f28be3c5436bcd04d7160886c05be55cc06cb69fe97d57e1f8abfa
MD5 b1211cab4a7ce63f21a92c82fe38227c
BLAKE2b-256 429ba7f5f1ed89dcda68a576bb0d888d97d57fb8fb87a43718359dc2b45103be

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp310-cp310-manylinux1_x86_64.whl
  • Upload date:
  • Size: 63.2 MB
  • Tags: CPython 3.10
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7f81dda550c551f995d7f2c633c460d0782705810dcac81e1341c406785ebe33
MD5 8e633b3bfe21c628b2461e6727be7d79
BLAKE2b-256 b57c9876b3fdea9e46e4d883c012835bbc92c6b3c9e949fee4182221d65416d6

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 45.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 026bc7db483101bb3b7e45dc27a5de0149ede6ba56d399d3bb758ff10b607fe7
MD5 1798839bd12b4941fc2aa57b7b650be0
BLAKE2b-256 a28b7dd1d7948528a214c0adecf6f870804bb9b754a3541733d15ea5a81b1e8e

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp39-cp39-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 36.1 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c013ecce749a37bcdb4046f7987e5e8c9332779a1c4621fb74bbafdbf429aea4
MD5 48bd5cc4f4653cd978fd8e48085ef2a3
BLAKE2b-256 766cc7da764b3246937998db2adfc71d0bf7712ee90dff0d5ba4171348400a67

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 63.1 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 47d22dfb98b9fe29088c11f9df3fdd10c42880c793f4af9e216ed0c41f88953d
MD5 3996b97a7d6f752d15b9dc8905a7298e
BLAKE2b-256 5bbc39298d867e93c6d17505c3e6e0a897d3a4f06770ea0c50f0e2cdaf63f6eb

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 45.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 cfda1dcf41c32ab5926d694c1f2411d1791b5a010fb9bda6a8f62ee471c61fdd
MD5 dcbe7c8d3f3e55a355ba2363823db950
BLAKE2b-256 696262c291978559d02d45831779cb8947c1f45d2a97c0a9e08f7cb4fb744f2a

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp38-cp38-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 37.6 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 61a1038016dff789d1e1ce710358822de8181e310d561a98078a2482cd4c509c
MD5 c345b3ac67b19f74408b8e5ff7272d14
BLAKE2b-256 e283858319c275a565de5dccb212f576797ce8054e1049bf4a992f2a37451c72

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 64.8 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 04fa5a6fd64796dd4a1e4bfae8a4bebe4e9abbbc9d564eed648ebbbc0f4f1d55
MD5 ba90bf3b6a02a2bfde7828bacceeeb9f
BLAKE2b-256 17ef8fbd839df2be8352d4c33ebb69ab69b1359acbb7c05e11e8463145f0177d

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 44.9 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 5f6a9f71ec9c9406cf313ef84bc5e9a98d5364fe888b719b3c2d9672e8ae3f73
MD5 56c835f7f7d09a7b19b66986075ffec0
BLAKE2b-256 5a66ec3dcb51d0f0179036487120906ffb13e4334db29a6192afe492db5736e5

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp37-cp37m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 34.4 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 af2a4857ff4cdb09c64132495f9b2c5423b287dc1305eb08b0c24bec84bb9241
MD5 804b922cef545bd33315568d64d6ff67
BLAKE2b-256 1536efec693f71f499bc46ce9c88251d901479b4295965c3691ce72d3b369e89

See more details on using hashes here.

File details

Details for the file cupy_cuda102-10.0.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda102-10.0.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 61.6 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for cupy_cuda102-10.0.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 f6debf47a94992745a897d5481fc548d0d874104872f1038fa1be554013523e4
MD5 e35fdb06474fc7f4206595c358743a21
BLAKE2b-256 da0f8634f73a2f2294c9847796231218e9c463a971194f83aef1a4d4fa55fc0d

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