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 AMD ROCm 5.0. You need to install ROCm 5.0 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_5_0-10.6.0-cp310-cp310-manylinux1_x86_64.whl (56.7 MB view details)

Uploaded CPython 3.10

cupy_rocm_5_0-10.6.0-cp39-cp39-manylinux1_x86_64.whl (56.6 MB view details)

Uploaded CPython 3.9

cupy_rocm_5_0-10.6.0-cp38-cp38-manylinux1_x86_64.whl (58.2 MB view details)

Uploaded CPython 3.8

cupy_rocm_5_0-10.6.0-cp37-cp37m-manylinux1_x86_64.whl (55.3 MB view details)

Uploaded CPython 3.7m

File details

Details for the file cupy_rocm_5_0-10.6.0-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_rocm_5_0-10.6.0-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7d76f95f9855b63db63aa9d33d1d65c7aa0ffca81b6e12e4fc123ed7d63961ff
MD5 a00ebd909e9b35996362cec4b9d7390a
BLAKE2b-256 6a10dc8cd0bcbfe28fdbfd90d4ec7ee270b7678742bd68702f6458be978a9632

See more details on using hashes here.

File details

Details for the file cupy_rocm_5_0-10.6.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_rocm_5_0-10.6.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a3a03f625eb1ca5c589459509afedf801252e973e66063a9dfa3369d71f6f2e0
MD5 f6567f127c5de10406c3345c99101461
BLAKE2b-256 dba6ea4f0490a7ad59793f68d206f6e09376b6c300c47f165b320fec5fe7ca30

See more details on using hashes here.

File details

Details for the file cupy_rocm_5_0-10.6.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_rocm_5_0-10.6.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c816c7bb3b82dd1a5ff70806c1e32d2158ec96c1d44005b7d221d2268c7b6b72
MD5 0d8d0b316533e2a7e57b54b418aab1d0
BLAKE2b-256 923666bcc83da01a7cc85559fd5263c48b0f5d8e81b4bb10de82434b9fccf76d

See more details on using hashes here.

File details

Details for the file cupy_rocm_5_0-10.6.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for cupy_rocm_5_0-10.6.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 61865c23fabfe197f79e01938884e2cd605dfb253107804625b8f6dbf5b5b13e
MD5 9289f12a0af3bc381a5e9e2d28e9babb
BLAKE2b-256 c1fbda574c40c77861c45753a308e4ec75da9fcfc436d1189127921b30eb1b46

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