cupy-cuda110

CuPy: NumPy & SciPy for GPU

These details have been verified by PyPI

Owner

CuPy

Maintainers

asi1024 beam2d ecastill mtakagi okuta

These details have not been verified by PyPI

Project links

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 11.0. You need to install CUDA Toolkit 11.0 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

These details have been verified by PyPI

Owner

CuPy

Maintainers

asi1024 beam2d ecastill mtakagi okuta

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

12.3.0

Dec 7, 2023

12.2.0

Aug 8, 2023

12.1.0

May 25, 2023

12.0.0

Mar 30, 2023

11.6.0

Mar 2, 2023

11.5.0

Jan 19, 2023

11.4.0

Dec 8, 2022

11.3.0

Nov 11, 2022

11.2.0

Oct 6, 2022

11.1.0

Sep 1, 2022

11.0.0

Jul 28, 2022

10.6.0

Jun 30, 2022

10.5.0

May 26, 2022

This version

10.4.0

Apr 27, 2022

10.3.1

Apr 8, 2022

10.3.0 yanked

Mar 31, 2022

10.2.0

Feb 25, 2022

10.1.0

Jan 20, 2022

10.0.0

Dec 9, 2021

9.6.0

Nov 10, 2021

9.5.0

Sep 30, 2021

9.4.0

Aug 26, 2021

9.3.0

Aug 20, 2021

9.0.0

Apr 22, 2021

8.6.0

Mar 25, 2021

8.5.0

Feb 26, 2021

8.4.0

Jan 28, 2021

8.3.0

Dec 25, 2020

8.2.0

Nov 26, 2020

8.1.0

Oct 29, 2020

8.0.0

Oct 1, 2020

7.8.0

Aug 18, 2020

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_cuda110-10.4.0-cp310-cp310-win_amd64.whl (59.7 MB view details)

Uploaded Apr 27, 2022 CPython 3.10 Windows x86-64

cupy_cuda110-10.4.0-cp310-cp310-manylinux1_x86_64.whl (78.6 MB view details)

Uploaded Apr 27, 2022 CPython 3.10

cupy_cuda110-10.4.0-cp39-cp39-win_amd64.whl (59.7 MB view details)

Uploaded Apr 27, 2022 CPython 3.9 Windows x86-64

cupy_cuda110-10.4.0-cp39-cp39-manylinux1_x86_64.whl (78.5 MB view details)

Uploaded Apr 27, 2022 CPython 3.9

cupy_cuda110-10.4.0-cp38-cp38-win_amd64.whl (59.7 MB view details)

Uploaded Apr 27, 2022 CPython 3.8 Windows x86-64

cupy_cuda110-10.4.0-cp38-cp38-manylinux1_x86_64.whl (80.3 MB view details)

Uploaded Apr 27, 2022 CPython 3.8

cupy_cuda110-10.4.0-cp37-cp37m-win_amd64.whl (59.6 MB view details)

Uploaded Apr 27, 2022 CPython 3.7m Windows x86-64

cupy_cuda110-10.4.0-cp37-cp37m-manylinux1_x86_64.whl (77.0 MB view details)

Uploaded Apr 27, 2022 CPython 3.7m

File details

Details for the file cupy_cuda110-10.4.0-cp310-cp310-win_amd64.whl.

File metadata

Download URL: cupy_cuda110-10.4.0-cp310-cp310-win_amd64.whl
Upload date: Apr 27, 2022
Size: 59.7 MB
Tags: CPython 3.10, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.7.4

File hashes

Hashes for cupy_cuda110-10.4.0-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`aba15e587c8611be48ec36819f618931c05800233c9b6d9dcccffcc400dc5c12`
MD5	`45a854688fccda712a39918edb9f9fe8`
BLAKE2b-256	`cb7f55eac64c939c0c241b07500e3160e43d1178925bb946eae31238e8d94e18`

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.4.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda110-10.4.0-cp310-cp310-manylinux1_x86_64.whl
Upload date: Apr 27, 2022
Size: 78.6 MB
Tags: CPython 3.10
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.7.4

File hashes

Hashes for cupy_cuda110-10.4.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`48bb9f96a3765e00c6c10dae1b4ea2dd5425ccdbfa7409c3946f007361b801be`
MD5	`4399b7bfdb7e3cbd4f82d1a327f4c728`
BLAKE2b-256	`849d5b905904f0c7087b76fc7b255134560c7612de92a17376eb5009f3c92454`

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.4.0-cp39-cp39-win_amd64.whl.

File metadata

Download URL: cupy_cuda110-10.4.0-cp39-cp39-win_amd64.whl
Upload date: Apr 27, 2022
Size: 59.7 MB
Tags: CPython 3.9, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.7.4

File hashes

Hashes for cupy_cuda110-10.4.0-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`57a63304269756b5595c1ade99a43fdcec8434e177cc6af503bb7420000ae4b8`
MD5	`848773eb08caf83be0466818c8c8676f`
BLAKE2b-256	`f2fbe9cadd0030d067167dd5d9145780375f44ce5b2be63720414bc571966ab3`

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.4.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda110-10.4.0-cp39-cp39-manylinux1_x86_64.whl
Upload date: Apr 27, 2022
Size: 78.5 MB
Tags: CPython 3.9
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.7.4

File hashes

Hashes for cupy_cuda110-10.4.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`8e755c1ef639d99a72421e09d1cedb8d33d872823dace0664c17c3bf135d4762`
MD5	`dbcf3cde512935663b2b768f189faaa8`
BLAKE2b-256	`dd04c638e5be7dc28f52c20af46eb1dedb1d4c937aae312d67bdc8ded6306676`

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.4.0-cp38-cp38-win_amd64.whl.

File metadata

Download URL: cupy_cuda110-10.4.0-cp38-cp38-win_amd64.whl
Upload date: Apr 27, 2022
Size: 59.7 MB
Tags: CPython 3.8, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.7.4

File hashes

Hashes for cupy_cuda110-10.4.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`db57b46153e5f9efd836ba3560e87566e1a8356d26ee74e351dacafbec8125c7`
MD5	`a26f1afbfc284be1dc9bc71537a92ced`
BLAKE2b-256	`dcf70dc2a11a73fbf19491366fabb2840247e323ea10ed67c2337b9664802579`

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.4.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda110-10.4.0-cp38-cp38-manylinux1_x86_64.whl
Upload date: Apr 27, 2022
Size: 80.3 MB
Tags: CPython 3.8
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.7.4

File hashes

Hashes for cupy_cuda110-10.4.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`065d73086c92d1851108e66d49a6268468b5529d059a58761e552a96c7b8c20c`
MD5	`353136860cfae622001485a55b61610f`
BLAKE2b-256	`340f77e426e980602f6bdbaee060d1fa5e427fa1e453e01da47baeb10fe7b298`

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.4.0-cp37-cp37m-win_amd64.whl.

File metadata

Download URL: cupy_cuda110-10.4.0-cp37-cp37m-win_amd64.whl
Upload date: Apr 27, 2022
Size: 59.6 MB
Tags: CPython 3.7m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.7.4

File hashes

Hashes for cupy_cuda110-10.4.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`25633301acc3ad20233e5a0f0cb92e636afa7d6a6766ba1f7301f90c72253930`
MD5	`2e98276c68a634e6d7745fa6fd9dffea`
BLAKE2b-256	`e87cd0cbd4ed2c38b16f0a9dfac8318b0d2eafdb085d3066a5cad7d02218faba`

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.4.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda110-10.4.0-cp37-cp37m-manylinux1_x86_64.whl
Upload date: Apr 27, 2022
Size: 77.0 MB
Tags: CPython 3.7m
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.7.4

File hashes

Hashes for cupy_cuda110-10.4.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`3478c866a1136c04face8005c357dbe9b2d17a0331334c8c12bea39add9b78bb`
MD5	`77ae4d3c4253742fdfd5d6897322ad78`
BLAKE2b-256	`72082c127e4c90e093ab6120277af6c461b72dcf963b98958cbeaa4ac598feef`