Skip to main content

CuPy: NumPy & SciPy for GPU

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 11.6. You need to install CUDA Toolkit 11.6 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


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_cuda116-10.4.0-cp310-cp310-win_amd64.whl (62.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

cupy_cuda116-10.4.0-cp310-cp310-manylinux1_x86_64.whl (81.5 MB view details)

Uploaded CPython 3.10

cupy_cuda116-10.4.0-cp39-cp39-win_amd64.whl (62.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

cupy_cuda116-10.4.0-cp39-cp39-manylinux1_x86_64.whl (81.4 MB view details)

Uploaded CPython 3.9

cupy_cuda116-10.4.0-cp38-cp38-win_amd64.whl (62.5 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda116-10.4.0-cp38-cp38-manylinux1_x86_64.whl (83.2 MB view details)

Uploaded CPython 3.8

cupy_cuda116-10.4.0-cp37-cp37m-win_amd64.whl (62.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda116-10.4.0-cp37-cp37m-manylinux1_x86_64.whl (79.9 MB view details)

Uploaded CPython 3.7m

File details

Details for the file cupy_cuda116-10.4.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for cupy_cuda116-10.4.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 5a6c9ecae14962d309083b7f9f0f350e9cb7e5ddaa72152c585e08105194e18c
MD5 333219ac0cb7e3b42a203c0af043f574
BLAKE2b-256 e1554ccc3253c064e933c0a2255a6d33907f5d71f28decef5516d651014a58b5

See more details on using hashes here.

File details

Details for the file cupy_cuda116-10.4.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_cuda116-10.4.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2c28015b54ed64c559b3605bcf9d123a53be345841156fe107e93b6ae20060f1
MD5 84264c7a1e9f86b58bc2ebb6df384b15
BLAKE2b-256 4450b94310188ac2e02a3ace132e08e109ff5cbf2d5c9bcd16577d37cb93be86

See more details on using hashes here.

File details

Details for the file cupy_cuda116-10.4.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for cupy_cuda116-10.4.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 4b3380b4d7525a92f0e0f281aac5dd69f5a10beada391ab9a915cb49c22fae8a
MD5 b3880e66a17d889677a2706e220662cf
BLAKE2b-256 632523a305190917431c3fbbff0fb7ad225b7cd72e7034f2776875ae248bb3e2

See more details on using hashes here.

File details

Details for the file cupy_cuda116-10.4.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_cuda116-10.4.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6a6e432f33181446091d1b8ea961bade23ba8281edc2cb9bcfa9328f24f4e2af
MD5 c7906f5a9fb634423a7b4da1c77899ca
BLAKE2b-256 0c6f41346d1825faa372bc35c1b54bc2c8756c0787cbe38df61725879cbf42a3

See more details on using hashes here.

File details

Details for the file cupy_cuda116-10.4.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for cupy_cuda116-10.4.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 11faa2b426849fc3d1072982147e6a6548ece5aa5ac8dc7635802f7ceb55efeb
MD5 9003cf521504bcbcd5ac5577212c524b
BLAKE2b-256 f4203058f346d0ad43afbe3b7795613fc1cb527d9c5506b08069449d5bcb9a85

See more details on using hashes here.

File details

Details for the file cupy_cuda116-10.4.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_cuda116-10.4.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d5b048ad619baa02a3fd6527059f66bc4758cfdd5e42f205d88e7686b9ce10d3
MD5 0f925eaa554cedb1e2b657d7be6271ca
BLAKE2b-256 6f0f189f11b340c007a60070fb5905ce87b56673e4bfc95d6713d9876093e49e

See more details on using hashes here.

File details

Details for the file cupy_cuda116-10.4.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for cupy_cuda116-10.4.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 84adc537a87cc1e6dd7be878810fbb608ea051df9e6a1ac1caba431b4c0fdfa1
MD5 aec53b620e6a00ba7ee1807bf258533f
BLAKE2b-256 c617b5a1c9a1e37f03f9d7dc520ef1e000779cdeb83a0828e273b0c9fc12d373

See more details on using hashes here.

File details

Details for the file cupy_cuda116-10.4.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_cuda116-10.4.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9bdf18d24600d63bc3a1d4b80d17c1871a2debdb139f9469dd92c741f86e68e9
MD5 9c7ff49bbf0c9dac5d323791a183af77
BLAKE2b-256 e2d021445ed5e0ac56833e9dfd097cb26173242cbcd5b160e457d5f94b0e4ebf

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