CuPy: NumPy-like API accelerated with CUDA

Navigation

Verified details

These details have been verified by PyPI
Owner
organization icon CuPy
Maintainers
Avatar for asi1024 from gravatar.com asi1024 Avatar for beam2d from gravatar.com beam2d Avatar for ecastill from gravatar.com ecastill Avatar for hvy from gravatar.com hvy Avatar for mitmul from gravatar.com mitmul Avatar for okuta from gravatar.com okuta

Unverified details

These details have not been verified by PyPI
Project links
Meta

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 10.1. You need to install CUDA Toolkit 10.1 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

Verified details

These details have been verified by PyPI
Owner
organization icon CuPy
Maintainers
Avatar for asi1024 from gravatar.com asi1024 Avatar for beam2d from gravatar.com beam2d Avatar for ecastill from gravatar.com ecastill Avatar for hvy from gravatar.com hvy Avatar for mitmul from gravatar.com mitmul Avatar for okuta from gravatar.com okuta

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

9.6.0

9.5.0

9.4.0

9.3.0

9.2.0

9.1.0

9.0.0

8.6.0

8.5.0

8.4.0

8.3.0

8.2.0

8.1.0

8.0.0

7.8.0

7.7.0

7.6.0

7.5.0

7.4.0

7.3.0

7.2.0

7.1.1

7.1.0

7.0.0

6.7.0

6.6.0

6.5.0

6.4.0

6.3.0

6.2.0

This version

6.1.0

6.0.0

5.4.0

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_cuda101-6.1.0-cp37-cp37m-win_amd64.whl (269.1 MB view details)

Uploaded CPython 3.7m Windows x86-64

cupy_cuda101-6.1.0-cp37-cp37m-manylinux1_x86_64.whl (384.1 MB view details)

Uploaded CPython 3.7m

cupy_cuda101-6.1.0-cp36-cp36m-win_amd64.whl (269.1 MB view details)

Uploaded CPython 3.6m Windows x86-64

cupy_cuda101-6.1.0-cp36-cp36m-manylinux1_x86_64.whl (384.1 MB view details)

Uploaded CPython 3.6m

cupy_cuda101-6.1.0-cp35-cp35m-manylinux1_x86_64.whl (383.8 MB view details)

Uploaded CPython 3.5m

cupy_cuda101-6.1.0-cp34-cp34m-manylinux1_x86_64.whl (384.0 MB view details)

Uploaded CPython 3.4m

cupy_cuda101-6.1.0-cp27-cp27mu-manylinux1_x86_64.whl (383.0 MB view details)

Uploaded CPython 2.7mu

File details

Details for the file cupy_cuda101-6.1.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda101-6.1.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 269.1 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1

File hashes

Hashes for cupy_cuda101-6.1.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 6327faf8e5149237bc3e2b1a41854d268ce421d26609783657efa4960eacebd3
MD5 7a724aa7473ed9ab7f6e9dd5957ff90e
BLAKE2b-256 0131e469be8653ab4156527ceaa67de39a95ddcd9f4b38ca77843544c2cd1773

See more details on using hashes here.

File details

Details for the file cupy_cuda101-6.1.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda101-6.1.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 384.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.23.1 CPython/3.6.2

File hashes

Hashes for cupy_cuda101-6.1.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2dfc9569bece2c5d9b48a8c3c5a80c05cde2b18105512c7f540b8b511f9bf61f
MD5 4184fb884e4b61f0e38cbc65705c109a
BLAKE2b-256 b3745d2bc13f3d95a14b3f90b3897348042ff529c01aa057eb18cda0aa51d593

See more details on using hashes here.

File details

Details for the file cupy_cuda101-6.1.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: cupy_cuda101-6.1.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 269.1 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1

File hashes

Hashes for cupy_cuda101-6.1.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 ec9966b7b784b50fb644ef80c92af34fb3a759db67175463406682f58c21c6c4
MD5 4892c6f3d7ac0133048b0c7a4fd20f2e
BLAKE2b-256 9433463d9cb811014c40ef5a37e6087957e493bfde7fc086d9e319ccf8d30279

See more details on using hashes here.

File details

Details for the file cupy_cuda101-6.1.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda101-6.1.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 384.1 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.23.1 CPython/3.6.2

File hashes

Hashes for cupy_cuda101-6.1.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ecba06e6b5a76d030ab6179e1aa85f36a0ef2727269eb1e4e87253e924103375
MD5 9da4d68aeac6aa8f83d6f22ee44b076d
BLAKE2b-256 bdf80468af0f9cf6a5156e0d667eb62073fe628054d36a24068951421b496e52

See more details on using hashes here.

File details

Details for the file cupy_cuda101-6.1.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda101-6.1.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 383.8 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.23.1 CPython/3.6.2

File hashes

Hashes for cupy_cuda101-6.1.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 dd3004fd4ac412ed650a37a42e1599b5e2d67c3d2de1f595941d1b90c19c5f0f
MD5 69f91b6537dabb81431d369b8c5021df
BLAKE2b-256 f216e049f00e6b0cdd989e39d82223fcbdca84b87e6924908dc45b89f5aa133f

See more details on using hashes here.

File details

Details for the file cupy_cuda101-6.1.0-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda101-6.1.0-cp34-cp34m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 384.0 MB
  • Tags: CPython 3.4m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.23.1 CPython/3.6.2

File hashes

Hashes for cupy_cuda101-6.1.0-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 49d99a924bf7bdea196542934bc16bc27c3d9384dfbf701fc7e84234e9c0724d
MD5 8fdd871f698708fea30abcb4ec105103
BLAKE2b-256 c47ac974a1669e43acf9df86be2b95cd3e7302447839e2ec33385fc7bae4653c

See more details on using hashes here.

File details

Details for the file cupy_cuda101-6.1.0-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_cuda101-6.1.0-cp27-cp27mu-manylinux1_x86_64.whl
  • Upload date:
  • Size: 383.0 MB
  • Tags: CPython 2.7mu
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.23.1 CPython/3.6.2

File hashes

Hashes for cupy_cuda101-6.1.0-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ca4ed4821e8006f09772c7c2f777bcd4169c16afb89b69eb6357a0ed01e9b8fa
MD5 c17447d5ec1192f537214bf8e4d387b0
BLAKE2b-256 6005f5d0f1f74c513a5a6f586dc11d08a923a83546662b5c05de3a3171bfaf17

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