Archived
This project has been archived by its maintainers, and is no longer receiving any updates.
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 CUDA 11.5. You need to install CUDA Toolkit 11.5 to use these packages.
If you have another version of CUDA, or want to build from source, refer to the Installation Guide for instructions.
Release files for cupy-cuda115 10.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| cupy_cuda115-10.6.0-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
| cupy_cuda115-10.6.0-cp310-cp310-manylinux1_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.5+ x86-64 | Details |
| cupy_cuda115-10.6.0-cp39-cp39-win_amd64.whl | CPython 3.9 | CPython 3.9 | Windows x86-64 | Details |
| cupy_cuda115-10.6.0-cp39-cp39-manylinux1_x86_64.whl | CPython 3.9 | CPython 3.9 | Linux glibc 2.5+ x86-64 | Details |
| cupy_cuda115-10.6.0-cp38-cp38-win_amd64.whl | CPython 3.8 | CPython 3.8 | Windows x86-64 | Details |
| cupy_cuda115-10.6.0-cp38-cp38-manylinux1_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.5+ x86-64 | Details |
| cupy_cuda115-10.6.0-cp37-cp37m-win_amd64.whl | CPython 3.7 | CPython 3.7 pymalloc | Windows x86-64 | Details |
| cupy_cuda115-10.6.0-cp37-cp37m-manylinux1_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
Total release size: 576.1 MB
Release files / cupy_cuda115-10.6.0-cp310-cp310-win_amd64.whl
| Download URL | cupy_cuda115-10.6.0-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 62.4 MB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
09ca4b383260568484a9cea37c61dd15336bd551ddd3e85630920bfb92c72df1
|
|
BLAKE2b-256 checksum How to use checksums |
232280e097f6a1f4bb0b70aa7c49302b0d21cdf25c1ae077b9037d8d540b8cdc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
Release files / cupy_cuda115-10.6.0-cp310-cp310-manylinux1_x86_64.whl
| Download URL | cupy_cuda115-10.6.0-cp310-cp310-manylinux1_x86_64.whl |
|---|---|
| Size | 81.6 MB |
| Tags | CPython 3.10 Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
49d6826e87fe4a349d984a5dd8319e375df9cdc40ea9c9c22fa07fca69221fea
|
|
BLAKE2b-256 checksum How to use checksums |
4e01389f45f8115e05e7571b3feebb5cca42ae4a6738b6a09b1869523fb6eee7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
Release files / cupy_cuda115-10.6.0-cp39-cp39-win_amd64.whl
| Download URL | cupy_cuda115-10.6.0-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 62.5 MB |
| Tags | CPython 3.9 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
f24a53ac1794c1d41b8c2283011c1366288a488920d6aab6a906f44cc02e145e
|
|
BLAKE2b-256 checksum How to use checksums |
0d6fdc665a0626ba667a969ffe0ba4c7344ed23a7ef8e04d930489310d15857b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
Release files / cupy_cuda115-10.6.0-cp39-cp39-manylinux1_x86_64.whl
| Download URL | cupy_cuda115-10.6.0-cp39-cp39-manylinux1_x86_64.whl |
|---|---|
| Size | 81.5 MB |
| Tags | CPython 3.9 Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
2d984552ed184f90b3f648924871d1bd3a9f5b63a78f12d7d145a24407443e87
|
|
BLAKE2b-256 checksum How to use checksums |
05112a3a6e9484a5d1e2af24fdbb3756c4a2f0436761b73161d2c1fcdfdac58c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
Release files / cupy_cuda115-10.6.0-cp38-cp38-win_amd64.whl
| Download URL | cupy_cuda115-10.6.0-cp38-cp38-win_amd64.whl |
|---|---|
| Size | 62.5 MB |
| Tags | CPython 3.8 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
61cc5124dd4325959cd7ddb0664e8b572b323db07c579962227833d6e3da3608
|
|
BLAKE2b-256 checksum How to use checksums |
eb70557a4581872c3c5b722183c96a4a473acc1dd6dd9668b262c7152b666fdf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
Release files / cupy_cuda115-10.6.0-cp38-cp38-manylinux1_x86_64.whl
| Download URL | cupy_cuda115-10.6.0-cp38-cp38-manylinux1_x86_64.whl |
|---|---|
| Size | 83.3 MB |
| Tags | CPython 3.8 Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
cf22c55f3eba48a1dd3d5f6863bf08ade32d377bc906a22e32178c3f9ff0ae80
|
|
BLAKE2b-256 checksum How to use checksums |
3ec1facc99aa9f0af7bd52a95d6307b1a841576ee08fc18cad1ca4a3f2a1af92
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
Release files / cupy_cuda115-10.6.0-cp37-cp37m-win_amd64.whl
| Download URL | cupy_cuda115-10.6.0-cp37-cp37m-win_amd64.whl |
|---|---|
| Size | 62.4 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
|
SHA-256 checksum How to use checksums |
8a580ab452495d4dc006aff7fae8e94540925b3ee57576ed4bc461fe4564fbbd
|
|
BLAKE2b-256 checksum How to use checksums |
10226665917711fda816c1666a8322da57c199542ec2114ebf39e7cae604a895
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
Release files / cupy_cuda115-10.6.0-cp37-cp37m-manylinux1_x86_64.whl
| Download URL | cupy_cuda115-10.6.0-cp37-cp37m-manylinux1_x86_64.whl |
|---|---|
| Size | 80.0 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
2247d5951f1d94aa007a42755add93678a4eb74db8bd1758e27b144a68983055
|
|
BLAKE2b-256 checksum How to use checksums |
9eba46f2dd57d09d575170169ac6f51bd1d46da81d52dd1f7dff17b4aa3aabc8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
