cupy-cuda113

CuPy: NumPy & SciPy for GPU

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 11.3. You need to install CUDA Toolkit 11.3 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 not been verified by PyPI

Project links

Release history Release notifications | RSS feed

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 5, 2021

9.2.0

Jun 24, 2021

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_cuda113-10.4.0-cp310-cp310-win_amd64.whl (56.8 MB view details)

Uploaded Apr 27, 2022 CPython 3.10 Windows x86-64

cupy_cuda113-10.4.0-cp310-cp310-manylinux1_x86_64.whl (76.0 MB view details)

Uploaded Apr 27, 2022 CPython 3.10

cupy_cuda113-10.4.0-cp39-cp39-win_amd64.whl (56.8 MB view details)

Uploaded Apr 27, 2022 CPython 3.9 Windows x86-64

cupy_cuda113-10.4.0-cp39-cp39-manylinux1_x86_64.whl (76.0 MB view details)

Uploaded Apr 27, 2022 CPython 3.9

cupy_cuda113-10.4.0-cp38-cp38-win_amd64.whl (56.8 MB view details)

Uploaded Apr 27, 2022 CPython 3.8 Windows x86-64

cupy_cuda113-10.4.0-cp38-cp38-manylinux1_x86_64.whl (77.8 MB view details)

Uploaded Apr 27, 2022 CPython 3.8

cupy_cuda113-10.4.0-cp37-cp37m-win_amd64.whl (56.7 MB view details)

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

cupy_cuda113-10.4.0-cp37-cp37m-manylinux1_x86_64.whl (74.4 MB view details)

Uploaded Apr 27, 2022 CPython 3.7m

File details

Details for the file cupy_cuda113-10.4.0-cp310-cp310-win_amd64.whl.

File metadata

Download URL: cupy_cuda113-10.4.0-cp310-cp310-win_amd64.whl
Upload date: Apr 27, 2022
Size: 56.8 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_cuda113-10.4.0-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`cb71f903ce0b90e76ef54f5b5bf3f07c084c759962fdd22238971ea28bdcaba1`
MD5	`6e3c3e3576263e1b3b18f402fb806cfe`
BLAKE2b-256	`c39af3155405a71b2d217721809984a2cdb6840da5f4dcf111439fa696bce262`

See more details on using hashes here.

File details

Details for the file cupy_cuda113-10.4.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda113-10.4.0-cp310-cp310-manylinux1_x86_64.whl
Upload date: Apr 27, 2022
Size: 76.0 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_cuda113-10.4.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`aefd34efa96febfeec8a5dfa241b174e7578bc2163cb71fe89893408acd4c63a`
MD5	`254af8a76cbbef91a03c0550b6427bd4`
BLAKE2b-256	`0f5131f7a09af1391607080e0b378fc6cd488d5bd0b6a21145c769ca73686b45`

See more details on using hashes here.

File details

Details for the file cupy_cuda113-10.4.0-cp39-cp39-win_amd64.whl.

File metadata

Download URL: cupy_cuda113-10.4.0-cp39-cp39-win_amd64.whl
Upload date: Apr 27, 2022
Size: 56.8 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_cuda113-10.4.0-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`39021c37f6e98cc8afeb41abb6e277de096561b3ba7904af6b7272db862d51bb`
MD5	`36f3dd8d59375a927a881ead9e88928c`
BLAKE2b-256	`10f02ec25020667bf946c1a7edb592ce8bb14f765f9f419e1e8fe73e22d79070`

See more details on using hashes here.

File details

Details for the file cupy_cuda113-10.4.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda113-10.4.0-cp39-cp39-manylinux1_x86_64.whl
Upload date: Apr 27, 2022
Size: 76.0 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_cuda113-10.4.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`36df51028bac47f5e5948cd176e4071ee7ece817287ae0522b8f101379f5c0be`
MD5	`9273dbee72908e60dc4cccd925049300`
BLAKE2b-256	`ee82ac90a4e45d87b8c303a8f726bfb11e354183d5d63df9d920f4bab6995e16`

See more details on using hashes here.

File details

Details for the file cupy_cuda113-10.4.0-cp38-cp38-win_amd64.whl.

File metadata

Download URL: cupy_cuda113-10.4.0-cp38-cp38-win_amd64.whl
Upload date: Apr 27, 2022
Size: 56.8 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_cuda113-10.4.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`0c93ea0b950de3e7370e3a4ae56c6796818e32e8bbdf67734f5b001828d2ff8a`
MD5	`51e3ef000d58bf606370792a0dff2a3e`
BLAKE2b-256	`6d710e50868b0e85570f91458de3c3e54729df7f732591ac2c68567fa6adb5d0`

See more details on using hashes here.

File details

Details for the file cupy_cuda113-10.4.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda113-10.4.0-cp38-cp38-manylinux1_x86_64.whl
Upload date: Apr 27, 2022
Size: 77.8 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_cuda113-10.4.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`a3f7f884f95d0e935498486da9ef1e800852695adeaf7dbaf7ec6ef2ae014751`
MD5	`961dc049bfb63b29f2e725836f8c63c0`
BLAKE2b-256	`75708f5351f555680e1badf2e9ca88150909e76c54901d5b3194ad4dae84cee4`

See more details on using hashes here.

File details

Details for the file cupy_cuda113-10.4.0-cp37-cp37m-win_amd64.whl.

File metadata

Download URL: cupy_cuda113-10.4.0-cp37-cp37m-win_amd64.whl
Upload date: Apr 27, 2022
Size: 56.7 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_cuda113-10.4.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`c0317c1cd5d2b97dc980aaf8a76a9efe57c7c8a85ee88e2e0161272d43c9e32d`
MD5	`9b3a657054031e82393b2bfdad10c947`
BLAKE2b-256	`20d0ab43ad826dda0ee87d716b1acb4a0b03bf5c22fdbe9061da46fef92568de`

See more details on using hashes here.

File details

Details for the file cupy_cuda113-10.4.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda113-10.4.0-cp37-cp37m-manylinux1_x86_64.whl
Upload date: Apr 27, 2022
Size: 74.4 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_cuda113-10.4.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`4769963a225571f2c1a6b8bfd9a7fa4ce03993cc3c369b84a6eed48d98d3cbb5`
MD5	`219502c16a8244518a9dbb3d93796030`
BLAKE2b-256	`14ec50ba0300d474b6c03cc53c4870a329e762f6ec3b93d0037b989d1c012a0c`