Skip to main content

CuPy: NumPy & SciPy for GPU

Project description

https://raw.githubusercontent.com/cupy/cupy/main/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 AMD ROCm 4.3. You need to install ROCm 4.3 to use these packages.

If you have another version of ROCm, 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

File details

Details for the file cupy_rocm_4_3-12.0.0-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_3-12.0.0-cp311-cp311-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 38.7 MB
  • Tags: CPython 3.11
  • 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_rocm_4_3-12.0.0-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 847600ebaa4f2d1c84c7528c894b42071954164c328ba1ba3f9a18714b023472
MD5 5e95353f94ac598a4b4b6102260a6d80
BLAKE2b-256 414d21c020e5602e6249e5e3d669abf458160b2569ee07fee1369812e018f4fd

See more details on using hashes here.

File details

Details for the file cupy_rocm_4_3-12.0.0-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_3-12.0.0-cp310-cp310-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 38.2 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_rocm_4_3-12.0.0-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 53d569728e44ef3bd171f059b37143ac6004211e4eaff0e2e42ab5f4c173441a
MD5 bf54196e237617c6c1b452df16412995
BLAKE2b-256 81380634ded4621239f2207a89d417b926f435b2a790a32f3f457d29fc21a1b2

See more details on using hashes here.

File details

Details for the file cupy_rocm_4_3-12.0.0-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_3-12.0.0-cp39-cp39-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 38.9 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_rocm_4_3-12.0.0-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6205bec2ffd5d1b06c1ab5861507a177125f45f8cd7c03854df54a6762f04d41
MD5 a4877bcea5361ab34b194f0b4271ba3b
BLAKE2b-256 8adaaaeb0c68fbf524d6531c9cddef3591e5cf394f0efa38257bb0327be5b4cb

See more details on using hashes here.

File details

Details for the file cupy_rocm_4_3-12.0.0-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_3-12.0.0-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 40.6 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_rocm_4_3-12.0.0-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 137c5a0cb3b22eb1845d9f4fd787bace0d304cb56d48c5b0b889269182f41a81
MD5 497f2a0823a6fae6625af5a4829f5cda
BLAKE2b-256 400dd623b5e9e9bbb5ed3fc9610b986e8d668dae21ceef11a31b11ff4fd85eb9

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