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 11.0. You need to install CUDA Toolkit 11.0 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


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_cuda110-10.3.1-cp310-cp310-win_amd64.whl (59.7 MB view details)

Uploaded CPython 3.10 Windows x86-64

cupy_cuda110-10.3.1-cp310-cp310-manylinux1_x86_64.whl (78.5 MB view details)

Uploaded CPython 3.10

cupy_cuda110-10.3.1-cp39-cp39-win_amd64.whl (59.7 MB view details)

Uploaded CPython 3.9 Windows x86-64

cupy_cuda110-10.3.1-cp39-cp39-manylinux1_x86_64.whl (78.4 MB view details)

Uploaded CPython 3.9

cupy_cuda110-10.3.1-cp38-cp38-win_amd64.whl (59.7 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda110-10.3.1-cp38-cp38-manylinux1_x86_64.whl (80.2 MB view details)

Uploaded CPython 3.8

cupy_cuda110-10.3.1-cp37-cp37m-win_amd64.whl (59.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda110-10.3.1-cp37-cp37m-manylinux1_x86_64.whl (76.9 MB view details)

Uploaded CPython 3.7m

File details

Details for the file cupy_cuda110-10.3.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-10.3.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 59.7 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda110-10.3.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 50b42fe5b7a77573f602f47c152fed2bfe5e73e0d2c987c2268ccbff86b861f1
MD5 287a394a561c8a91624f9adaae127f55
BLAKE2b-256 ef575d8395ff1576759e4f31a7e6929f551207bcc905ebde2f342486e704c234

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.3.1-cp310-cp310-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-10.3.1-cp310-cp310-manylinux1_x86_64.whl
  • Upload date:
  • Size: 78.5 MB
  • Tags: CPython 3.10
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda110-10.3.1-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3749504802c35a6f5b30e60fa2b451a3bedf898d09d6c52ff7e7250320b4e787
MD5 adb96ca2a489660ac9afe2db5e169de6
BLAKE2b-256 53d71d94b5a910d96072ecf911693b029332b21cadd937b58689fe792dea6e52

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.3.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-10.3.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 59.7 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda110-10.3.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 81a8289fba46d0b93aaa73c16ebe8552df05cb51cb5bf5c7d666944860341538
MD5 d8868290fc27b8048beeb34a0b3fa9b0
BLAKE2b-256 b90ae93d9ac3c835685114574e67fe78103e873f60d4705213e27deeff2ccd13

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.3.1-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-10.3.1-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 78.4 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda110-10.3.1-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 8949da13e75f1b02909e1474c20ab0db4154e27aff9a067a8ea8f9d00ab2ebfd
MD5 b7a6ced39ca50b07c96316eb34b7ab69
BLAKE2b-256 efba97403c8869dd8347595e5581d39044a905831dd341b2b82e79d3e7c1ede1

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.3.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-10.3.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 59.7 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda110-10.3.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 bfb0ae2858f80cb98ecb75d796796994e684602b52616c9e556d479b3621ad37
MD5 72464ff221c1d9a64b0fb63848635a5a
BLAKE2b-256 6003e169a4f197df7db8cd468e3f1fa400856f1087134d6db554b6c3326e1fcd

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.3.1-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-10.3.1-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 80.2 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda110-10.3.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b1c72bba4bdfe341be653dd55f71884dc98c721987c5884beacf78fe6437132c
MD5 9e6b50055c0b1c64cf0a61330035537c
BLAKE2b-256 eb064bb5bdbb6c71b08dc33d8e4d205dafd47dc649c79a366ace7d7a86073979

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.3.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda110-10.3.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 59.6 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda110-10.3.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 71bf7d62a5263b747401621b27d09341aabed58d5a98419639430be02c2b9770
MD5 6d1b17d6f12d3810f83bb154f64258cb
BLAKE2b-256 61ef8aa6294f81ff58622a07537179ffa07173f34cea4adcd26842a7493fdfb4

See more details on using hashes here.

File details

Details for the file cupy_cuda110-10.3.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda110-10.3.1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 76.9 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for cupy_cuda110-10.3.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5fb92305096940a8f7df016c4d59c946f4bff62d575543175a5d397875e8f0a0
MD5 8c987f2131fde93d0d0f90ad72419c2c
BLAKE2b-256 6522ef615058297ad70c8423810e3f5a508ce9b8f672f05b9675501b90994fe3

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