Skip to main content

CuPy: A NumPy-compatible array library accelerated by CUDA

Project description

https://raw.githubusercontent.com/cupy/cupy/master/docs/image/cupy_logo_1000px.png

CuPy : A NumPy-compatible array library accelerated by CUDA

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

This is a CuPy wheel (precompiled binary) package for CUDA 11.2. You need to install CUDA Toolkit 11.2 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_cuda112-8.6.0-cp39-cp39-win_amd64.whl (51.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

cupy_cuda112-8.6.0-cp39-cp39-manylinux1_x86_64.whl (166.5 MB view details)

Uploaded CPython 3.9

cupy_cuda112-8.6.0-cp38-cp38-win_amd64.whl (51.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

cupy_cuda112-8.6.0-cp38-cp38-manylinux1_x86_64.whl (167.8 MB view details)

Uploaded CPython 3.8

cupy_cuda112-8.6.0-cp37-cp37m-win_amd64.whl (51.7 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda112-8.6.0-cp37-cp37m-manylinux1_x86_64.whl (165.2 MB view details)

Uploaded CPython 3.7m

cupy_cuda112-8.6.0-cp36-cp36m-win_amd64.whl (51.7 MB view details)

Uploaded CPython 3.6m Windows x86-64

cupy_cuda112-8.6.0-cp36-cp36m-manylinux1_x86_64.whl (165.3 MB view details)

Uploaded CPython 3.6m

cupy_cuda112-8.6.0-cp35-cp35m-manylinux1_x86_64.whl (164.7 MB view details)

Uploaded CPython 3.5m

File details

Details for the file cupy_cuda112-8.6.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda112-8.6.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 51.8 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_cuda112-8.6.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 bcb88106566808e4ba71966784662fbf5f7ccb6c706897c6fc6010ed5cfabd31
MD5 f736cb936ae7faecafc1f2669d1c8e03
BLAKE2b-256 fd87ea0cf5994d399cb6416e360d7e0d41713ded8de414207e8144f6132c7040

See more details on using hashes here.

File details

Details for the file cupy_cuda112-8.6.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda112-8.6.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 166.5 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_cuda112-8.6.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6c0f5bfdc6204b7681ad2a9918f4a2609fafa8d8fcb9251123b0377c69fd8f9c
MD5 9c081e527ac5defe6ae0047691464df2
BLAKE2b-256 c611161972bdf0913638d5b6d0ec05e8b2082c4f9f2410e25ebc60447f5ecfd7

See more details on using hashes here.

File details

Details for the file cupy_cuda112-8.6.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda112-8.6.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 51.8 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_cuda112-8.6.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 08d09d41a8286aa9ca9b792f8f877d02943fd9f91223d801594c9d82762746d2
MD5 7664493cf01f008589f263b595841988
BLAKE2b-256 98555785866af86c873196a23ee0e55cc6d1991e934bcae2ffb20d4a12295bca

See more details on using hashes here.

File details

Details for the file cupy_cuda112-8.6.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda112-8.6.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 167.8 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_cuda112-8.6.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 cdcdccf2d856aaae62aeeee3fe045e6b419719a6db33a7a9b3bd54876b55c498
MD5 1eee1ca128905ffcac66a05ae2ea2657
BLAKE2b-256 2cdcdc5119da1e9202d3453182f6d0275230bebc00c5416186c485527c797402

See more details on using hashes here.

File details

Details for the file cupy_cuda112-8.6.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda112-8.6.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 51.7 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_cuda112-8.6.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 020483a704e0be27251a33838901d86d96a07b21767b848da032272b64048516
MD5 d64de257220b94d75a775771d43778ff
BLAKE2b-256 3b4cd69358e0ddb4364cbe28a0457a780aa03c40dca80155c194d6835eb8ed55

See more details on using hashes here.

File details

Details for the file cupy_cuda112-8.6.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda112-8.6.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 165.2 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_cuda112-8.6.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 213bbced6fbc9e682c563330c2d798d9c690d6ae6ad3aaa7fd359c8fb8eac222
MD5 4e4895da07699b701ecc3b3e8415cace
BLAKE2b-256 faf720053f9e8faa4f87a622a7f5e10b0b3df22b54fc9019f99c8e4850badaba

See more details on using hashes here.

File details

Details for the file cupy_cuda112-8.6.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda112-8.6.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 51.7 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_cuda112-8.6.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 b37204621a5695f290017802f29ebbc1ced7b41eb06cba4bbe2039f21eb15c21
MD5 523cbb5c6d01a675d656414d7383d88f
BLAKE2b-256 9f802659052805419e5cc5b1766f673b91cb23c1528b7eb326611914a3d5345f

See more details on using hashes here.

File details

Details for the file cupy_cuda112-8.6.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda112-8.6.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 165.3 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_cuda112-8.6.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 54cd5d131079dccc6f300f330e22664e0531033741c98b0603e593632e84348e
MD5 84d1e1daf89bcdfea9f76ca5edd60ef1
BLAKE2b-256 d8e89ae510dad35f256919030fb910b1721f94c175d5dd002735801294d37cd1

See more details on using hashes here.

File details

Details for the file cupy_cuda112-8.6.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda112-8.6.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 164.7 MB
  • Tags: CPython 3.5m
  • 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_cuda112-8.6.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 65df6d6357ccf79d39397f5d687272b87984409f9f64b1cbb9b6eae72dd76f86
MD5 af6999c3cf219a4116a9b7f0f415219e
BLAKE2b-256 c29d074150c4046803f114c38bd7e64ee2a0e571827891b953e7aae2ce1c825d

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