cupy-cuda100

CuPy: A NumPy-compatible array library accelerated by CUDA

These details have been verified by PyPI

Owner

CuPy

Maintainers

beam2d ecastill hvy mitmul 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 10.0. You need to install CUDA Toolkit 10.0 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

beam2d ecastill hvy mitmul okuta

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

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

This version

9.1.0

May 27, 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

7.7.0

Jul 30, 2020

7.6.0

Jun 25, 2020

7.5.0

May 29, 2020

7.4.0

Apr 23, 2020

7.3.0

Mar 22, 2020

7.2.0

Feb 14, 2020

7.1.1

Jan 22, 2020

7.1.0

Jan 16, 2020

7.0.0

Dec 5, 2019

6.7.0

Jan 16, 2020

6.6.0

Dec 5, 2019

6.5.0

Oct 25, 2019

6.4.0

Sep 26, 2019

6.3.0

Aug 22, 2019

6.2.0

Jul 18, 2019

6.1.0

Jun 21, 2019

6.0.0

May 16, 2019

5.4.0

Apr 4, 2019

5.3.0

Feb 28, 2019

5.2.0

Jan 24, 2019

5.1.0

Dec 3, 2018

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_cuda100-9.1.0-cp39-cp39-win_amd64.whl (42.1 MB view details)

Uploaded May 27, 2021 CPython 3.9 Windows x86-64

cupy_cuda100-9.1.0-cp39-cp39-manylinux1_x86_64.whl (59.7 MB view details)

Uploaded May 27, 2021 CPython 3.9

cupy_cuda100-9.1.0-cp38-cp38-win_amd64.whl (42.2 MB view details)

Uploaded May 27, 2021 CPython 3.8 Windows x86-64

cupy_cuda100-9.1.0-cp38-cp38-manylinux1_x86_64.whl (61.2 MB view details)

Uploaded May 27, 2021 CPython 3.8

cupy_cuda100-9.1.0-cp37-cp37m-win_amd64.whl (42.0 MB view details)

Uploaded May 27, 2021 CPython 3.7m Windows x86-64

cupy_cuda100-9.1.0-cp37-cp37m-manylinux1_x86_64.whl (58.9 MB view details)

Uploaded May 27, 2021 CPython 3.7m

cupy_cuda100-9.1.0-cp36-cp36m-win_amd64.whl (42.0 MB view details)

Uploaded May 27, 2021 CPython 3.6m Windows x86-64

cupy_cuda100-9.1.0-cp36-cp36m-manylinux1_x86_64.whl (58.9 MB view details)

Uploaded May 27, 2021 CPython 3.6m

File details

Details for the file cupy_cuda100-9.1.0-cp39-cp39-win_amd64.whl.

File metadata

Download URL: cupy_cuda100-9.1.0-cp39-cp39-win_amd64.whl
Upload date: May 27, 2021
Size: 42.1 MB
Tags: CPython 3.9, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for cupy_cuda100-9.1.0-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`ceb05cee13fedf547c00463d616960777a1da0970931c88c94ef3c5c9114d126`
MD5	`15627584c8692e887e27944424b3ecd5`
BLAKE2b-256	`41fd8ce5f161042fdbf712058f0c189ebce9d46a8c6dbb2dd2688b5ba0fef68f`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-9.1.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda100-9.1.0-cp39-cp39-manylinux1_x86_64.whl
Upload date: May 27, 2021
Size: 59.7 MB
Tags: CPython 3.9
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for cupy_cuda100-9.1.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`6500346d6aa1077a33b2f323499e0f8780b9ae70ea010c6ecd83f302bce24034`
MD5	`4f30693c630b6d15d8d63950fbc624f4`
BLAKE2b-256	`10a66fe41344362aa3be6a85cffe214006c01064b10216e5d30696fdebed8d1b`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-9.1.0-cp38-cp38-win_amd64.whl.

File metadata

Download URL: cupy_cuda100-9.1.0-cp38-cp38-win_amd64.whl
Upload date: May 27, 2021
Size: 42.2 MB
Tags: CPython 3.8, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for cupy_cuda100-9.1.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`51d8f3c81476860ffa0dcd0bf6a81b82c830a9fd803ff956175a0042f2779ab3`
MD5	`317bcd7162bc23b088aa9fa768b6ca63`
BLAKE2b-256	`b4792634e4ddca6d10663ccac45adcc61ffd54e97a506ec3206a80a4fd31b3a0`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-9.1.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda100-9.1.0-cp38-cp38-manylinux1_x86_64.whl
Upload date: May 27, 2021
Size: 61.2 MB
Tags: CPython 3.8
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for cupy_cuda100-9.1.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`3f286d4d7cfa083aeac827643658c0ae23ba66d5a3359ca6724d15d17bc82610`
MD5	`1f0c715deb64ae2f99874d1ff318b7da`
BLAKE2b-256	`5d6e0666a3c9774336b27b99b9895043efb19a7d91602d289cf29e56d4543df6`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-9.1.0-cp37-cp37m-win_amd64.whl.

File metadata

Download URL: cupy_cuda100-9.1.0-cp37-cp37m-win_amd64.whl
Upload date: May 27, 2021
Size: 42.0 MB
Tags: CPython 3.7m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for cupy_cuda100-9.1.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`b5821eefb98a4c2907072461bebb66694606df01fbc795bbdc537f2b0852504e`
MD5	`1762ed90e86674d3c2ebdfb97901dc9f`
BLAKE2b-256	`a3a468487280b772386db19cff35638ed120c51f51258724ff96c6716f5cf6a4`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-9.1.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda100-9.1.0-cp37-cp37m-manylinux1_x86_64.whl
Upload date: May 27, 2021
Size: 58.9 MB
Tags: CPython 3.7m
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for cupy_cuda100-9.1.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`90ee8593ea3620096a37b4f3356f3a393d669c81a450e7ef695dbb713fad6c41`
MD5	`2f465f7dad0dd53134504096c1d7ff54`
BLAKE2b-256	`cbd85db705c73cc75f2916623cc634109d9d2c4f5d227293fb8c2aacae3b0149`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-9.1.0-cp36-cp36m-win_amd64.whl.

File metadata

Download URL: cupy_cuda100-9.1.0-cp36-cp36m-win_amd64.whl
Upload date: May 27, 2021
Size: 42.0 MB
Tags: CPython 3.6m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for cupy_cuda100-9.1.0-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`d7b6d6fd520627e84b1fa14fd753ce1e5953f44b3b0e8c2cfda4683bc8b6f936`
MD5	`6a7f77033538f86750fba86b23011314`
BLAKE2b-256	`b2646c68d8ceeeae4a6e7feca847df4c9ab9fb712804b786579ba11d5db189ae`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-9.1.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda100-9.1.0-cp36-cp36m-manylinux1_x86_64.whl
Upload date: May 27, 2021
Size: 58.9 MB
Tags: CPython 3.6m
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for cupy_cuda100-9.1.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`5cf9f67da401a802a3608f168c77bb24bbd74ba56990a8b26b59301c30bc257d`
MD5	`67183b28373ee575105f191659d5f5af`
BLAKE2b-256	`6489b0fe64e1b87220e8924b3fabdd72c87aa2d7ac6e28c65355c97722de8e46`