cupy-cuda100

CuPy: NumPy-like API accelerated with 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-like API accelerated with CUDA

CuPy is an implementation of NumPy-compatible multi-dimensional array on CUDA.

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, please see Installation Guide for instructions. If you want to build CuPy from source distribution, use pip install cupy instead.

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

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

This version

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_cuda100-7.7.0-cp38-cp38-win_amd64.whl (272.9 MB view details)

Uploaded Jul 30, 2020 CPython 3.8 Windows x86-64

cupy_cuda100-7.7.0-cp38-cp38-manylinux1_x86_64.whl (339.9 MB view details)

Uploaded Jul 30, 2020 CPython 3.8

cupy_cuda100-7.7.0-cp37-cp37m-win_amd64.whl (272.9 MB view details)

Uploaded Jul 30, 2020 CPython 3.7m Windows x86-64

cupy_cuda100-7.7.0-cp37-cp37m-manylinux1_x86_64.whl (339.8 MB view details)

Uploaded Jul 30, 2020 CPython 3.7m

cupy_cuda100-7.7.0-cp36-cp36m-win_amd64.whl (272.9 MB view details)

Uploaded Jul 30, 2020 CPython 3.6m Windows x86-64

cupy_cuda100-7.7.0-cp36-cp36m-manylinux1_x86_64.whl (339.8 MB view details)

Uploaded Jul 30, 2020 CPython 3.6m

cupy_cuda100-7.7.0-cp35-cp35m-manylinux1_x86_64.whl (339.7 MB view details)

Uploaded Jul 30, 2020 CPython 3.5m

File details

Details for the file cupy_cuda100-7.7.0-cp38-cp38-win_amd64.whl.

File metadata

Download URL: cupy_cuda100-7.7.0-cp38-cp38-win_amd64.whl
Upload date: Jul 30, 2020
Size: 272.9 MB
Tags: CPython 3.8, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/36.6.0 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.14

File hashes

Hashes for cupy_cuda100-7.7.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`f1101dceff8a4bd868c4b86d8275534d1cb09407ee4715ea3677841e7889471c`
MD5	`bebafc8dd5ede3437baa5acec586bd49`
BLAKE2b-256	`c105ff84b01cf6c72c5707881e7e896bf3669276cebd46b910f375f448201686`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-7.7.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda100-7.7.0-cp38-cp38-manylinux1_x86_64.whl
Upload date: Jul 30, 2020
Size: 339.9 MB
Tags: CPython 3.8
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for cupy_cuda100-7.7.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`11105882f0e0555d1aee8111b15cdabb74187a1d0c510afea26eec776ced7681`
MD5	`16c59a1fa3e790091697ef802721f8d8`
BLAKE2b-256	`e786be1c03e074d3a7cf64aba570e13fad829959c53493f3a53b959c7485e4ed`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-7.7.0-cp37-cp37m-win_amd64.whl.

File metadata

Download URL: cupy_cuda100-7.7.0-cp37-cp37m-win_amd64.whl
Upload date: Jul 30, 2020
Size: 272.9 MB
Tags: CPython 3.7m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/36.6.0 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.14

File hashes

Hashes for cupy_cuda100-7.7.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`476bb003154c57a002c841ede613c1d000fe325b6c19f0ad44e45180ccf84871`
MD5	`c212d6cbb462cfa28e7a8a379ff01759`
BLAKE2b-256	`aeaae7bb01c1bacd1afdfd7c9c27bf2deec0589e146b14473f4ca01bc2c8970c`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-7.7.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda100-7.7.0-cp37-cp37m-manylinux1_x86_64.whl
Upload date: Jul 30, 2020
Size: 339.8 MB
Tags: CPython 3.7m
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for cupy_cuda100-7.7.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`8433a31122210ef2ae780e9e39ece20fe9f1906ba5fabea393dd26adaac74e6b`
MD5	`37b1fdf083adf6ade2723e1958f42875`
BLAKE2b-256	`2bbfe9459f1c55eb6d34d7ae7f43c0da591c65293eded9c7634b7dbc5f27999b`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-7.7.0-cp36-cp36m-win_amd64.whl.

File metadata

Download URL: cupy_cuda100-7.7.0-cp36-cp36m-win_amd64.whl
Upload date: Jul 30, 2020
Size: 272.9 MB
Tags: CPython 3.6m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/36.6.0 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.14

File hashes

Hashes for cupy_cuda100-7.7.0-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`b45baf9235ce51f1d7879ccff6a3a12af8d753cc98b79f58cde5c8276305b48d`
MD5	`7bf1502a32cce0a00649d3a0a84c49d9`
BLAKE2b-256	`b6a46ff1753cd0058ff9e0f71c2d23057698b1b1acde518a82efb9204287fec7`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-7.7.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda100-7.7.0-cp36-cp36m-manylinux1_x86_64.whl
Upload date: Jul 30, 2020
Size: 339.8 MB
Tags: CPython 3.6m
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for cupy_cuda100-7.7.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`bf9f893b60cef1b0719da385d67520161e04734570fdd941de7eed95d01e05d7`
MD5	`044313efa7e6f73afda685ba12e55e7e`
BLAKE2b-256	`e7c54ff7ae8e53c35c6d0c055c4e85b7c349201bcf1ad3eea402f211b1b081a0`

See more details on using hashes here.

File details

Details for the file cupy_cuda100-7.7.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

Download URL: cupy_cuda100-7.7.0-cp35-cp35m-manylinux1_x86_64.whl
Upload date: Jul 30, 2020
Size: 339.7 MB
Tags: CPython 3.5m
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for cupy_cuda100-7.7.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`112406ebf99a23171870efcf8cbdd2ec1377f5af6626d1259561e3b4545d2628`
MD5	`181c891504d32e4a871a3ecc3334bd42`
BLAKE2b-256	`fd1ce92d2097cea79b9387ae2d615775f057d78062b8abede8e3b6e780e97def`