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 10.2. You need to install CUDA Toolkit 10.2 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_cuda102-11.2.0-cp310-cp310-win_amd64.whl (45.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

cupy_cuda102-11.2.0-cp310-cp310-manylinux1_x86_64.whl (65.0 MB view details)

Uploaded CPython 3.10

cupy_cuda102-11.2.0-cp39-cp39-win_amd64.whl (45.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

cupy_cuda102-11.2.0-cp39-cp39-manylinux1_x86_64.whl (64.9 MB view details)

Uploaded CPython 3.9

cupy_cuda102-11.2.0-cp38-cp38-win_amd64.whl (45.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda102-11.2.0-cp38-cp38-manylinux1_x86_64.whl (66.8 MB view details)

Uploaded CPython 3.8

cupy_cuda102-11.2.0-cp37-cp37m-win_amd64.whl (45.5 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda102-11.2.0-cp37-cp37m-manylinux1_x86_64.whl (63.3 MB view details)

Uploaded CPython 3.7m

File details

Details for the file cupy_cuda102-11.2.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for cupy_cuda102-11.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 0f637b617f10bee3b65cc351ec0c87533b98f5739784fb9891751d843476700d
MD5 29b947db56f3827857a4ec8e8d3ea665
BLAKE2b-256 85addc1dec1c2e0e2c965857236b21f7498d231a2f7654740f05f87ecdc696b4

See more details on using hashes here.

File details

Details for the file cupy_cuda102-11.2.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_cuda102-11.2.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 720e0f39cdf803277dd4b14addd30c6f1768ff1511551c6bfa7969a613ace935
MD5 72186c31955bc8ce386c489c621a0f5a
BLAKE2b-256 f193d3ec551e93e4a82a10f01061a5c508dba6a358c7683fd82b380173ea3acf

See more details on using hashes here.

File details

Details for the file cupy_cuda102-11.2.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for cupy_cuda102-11.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 ab4d633eec4827ebb11e6fc62427c2d7425410a0ce15b43665a4d4cdaef8bc2e
MD5 2414776fef36d0a3e0a43cd7d4aa0d65
BLAKE2b-256 cbdd2f7e79eb22c4fa8acaac45d2ed0be0663bb015a0e29f83b25e390eccc337

See more details on using hashes here.

File details

Details for the file cupy_cuda102-11.2.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_cuda102-11.2.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b3cb15654a3ec5914fc42744c7e204701b9e45eaf8fac1fab4ed9b9b6db2be43
MD5 00b8b194ff5e01564caee5052e932a6b
BLAKE2b-256 22d1d733b788ad3f5b45e4879dad81cdc39df3b849a544fa9933c0135f867d42

See more details on using hashes here.

File details

Details for the file cupy_cuda102-11.2.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for cupy_cuda102-11.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 59d7b01dea37ac809369bc316bbfa4fd3a1df7abfee4e848ecca83ae370d521c
MD5 eef32227c986e30125bff35d69f0e9d6
BLAKE2b-256 1a20ce9883e29cf4d7351223b051c2bbb94e71b270e3a4406749e988f17b5ac1

See more details on using hashes here.

File details

Details for the file cupy_cuda102-11.2.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_cuda102-11.2.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1171efdea204d4e237b287f631e97b4a05c0df873ea2c7f142d3e0e4f001080d
MD5 dda86c0dadc49f51166e4f438d3e6513
BLAKE2b-256 e1790bccb2cd18488c1a2da68f6d3d66f60a1a21c750665cdfbe160ab5ac79ec

See more details on using hashes here.

File details

Details for the file cupy_cuda102-11.2.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for cupy_cuda102-11.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 3ac0a41d3c29e8c91ba04023979232b043f964bbbd5c1c70778fe530026f1401
MD5 21c6c728d3588f3169da74e408c60238
BLAKE2b-256 7a2434f0dbcc8e828c558e3e9f8783075ae9351dcf34dc053d61e8cd8217e6c2

See more details on using hashes here.

File details

Details for the file cupy_cuda102-11.2.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_cuda102-11.2.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 560e955b33a526ddce96568f8b952035b43cabf20e293fc4663570dd09abdbc1
MD5 ef83ed3ded434158fca07cf235f9599b
BLAKE2b-256 ddc44fc78243e67d1b4df880b5abcbe1e23879cbb31610b243817c433c22a2ad

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