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 : 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 4.0. You need to install ROCm 4.0 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

cupy_rocm_4_0-9.2.0-cp39-cp39-manylinux1_x86_64.whl (35.7 MB view details)

Uploaded CPython 3.9

cupy_rocm_4_0-9.2.0-cp38-cp38-manylinux1_x86_64.whl (37.2 MB view details)

Uploaded CPython 3.8

cupy_rocm_4_0-9.2.0-cp37-cp37m-manylinux1_x86_64.whl (34.5 MB view details)

Uploaded CPython 3.7m

cupy_rocm_4_0-9.2.0-cp36-cp36m-manylinux1_x86_64.whl (34.5 MB view details)

Uploaded CPython 3.6m

File details

Details for the file cupy_rocm_4_0-9.2.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_0-9.2.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 35.7 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/57.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_rocm_4_0-9.2.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a0f793fe8166edf4ac3d977ed448e1c696f19ab1794ab69cbebfaf50eb9f91d3
MD5 f1e6d7da256ba1aa9c733f7cd82ce6e1
BLAKE2b-256 21a6aab533de256c17c2224cf095d03b403189520c1d59f01273a8f354e67c3b

See more details on using hashes here.

File details

Details for the file cupy_rocm_4_0-9.2.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_0-9.2.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 37.2 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/57.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_rocm_4_0-9.2.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 63afddeffc1374748f572ed8ad15f87f9b0ee15cb54d2282ee417037754d62ce
MD5 6251c76ae590342679495caead08797b
BLAKE2b-256 1c9041a9a9e708c39f7fb846626756633cec933cf215eb471f967539c4ff5fa9

See more details on using hashes here.

File details

Details for the file cupy_rocm_4_0-9.2.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_0-9.2.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 34.5 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/57.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_rocm_4_0-9.2.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 4535c1f1574c6c41f81848adf599f95f723dd43f5a91253aea9b2c439d5a9a28
MD5 2c6b03f011dc14318a3b65dfc5b3bff9
BLAKE2b-256 088dab592c302cba5c238e1caa2276440cdbac75a94778546e93a8f6d3933c55

See more details on using hashes here.

File details

Details for the file cupy_rocm_4_0-9.2.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_0-9.2.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 34.5 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/57.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_rocm_4_0-9.2.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e63d46f7bdb5807510b39be6967332626c3795b2e343033395097f6dc12decf8
MD5 ac4952071f78fe02868f9a1ce8b8747d
BLAKE2b-256 444e799c937359a3ffcaebf41334725939b3722dfdd5e4c71620d582ece901cd

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