Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

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 CUDA 11.3. You need to install CUDA Toolkit 11.3 to use these packages.

If you have another version of CUDA, or want to build from source, refer to the Installation Guide for instructions.

Metadata

Release files for cupy-cuda113 10.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for cupy-cuda113 10.6.0
File
cupy_cuda113-10.6.0-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
cupy_cuda113-10.6.0-cp310-cp310-manylinux1_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.5+ x86-64 Details
cupy_cuda113-10.6.0-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details
cupy_cuda113-10.6.0-cp39-cp39-manylinux1_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.5+ x86-64 Details
cupy_cuda113-10.6.0-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details
cupy_cuda113-10.6.0-cp38-cp38-manylinux1_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-64 Details
cupy_cuda113-10.6.0-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
cupy_cuda113-10.6.0-cp37-cp37m-manylinux1_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64 Details

Total release size: 531.8 MB

Release files / cupy_cuda113-10.6.0-cp310-cp310-win_amd64.whl

Download URL cupy_cuda113-10.6.0-cp310-cp310-win_amd64.whl
Size 56.7 MB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
8b96076d1ddd33fdb2c908ed0f8109caf69d37d36f839a8a8cdae1312508336f
BLAKE2b-256 checksum
How to use checksums
9b9b72bd10c7b17f00183308be361f708e5911b8b541a3058b5f82c801bcf5a5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.12

Release files / cupy_cuda113-10.6.0-cp310-cp310-manylinux1_x86_64.whl

Download URL cupy_cuda113-10.6.0-cp310-cp310-manylinux1_x86_64.whl
Size 76.1 MB
Tags CPython 3.10 Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
27e5efe2c3afa80ff48654cb27f9e0eddb36f8b26ef0d32d3ba0a233e1359b51
BLAKE2b-256 checksum
How to use checksums
08954a9f84bbe3b6036647a03fef8d07b9ac31fb690dcae3316030bbe08acf88
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.12

Release files / cupy_cuda113-10.6.0-cp39-cp39-win_amd64.whl

Download URL cupy_cuda113-10.6.0-cp39-cp39-win_amd64.whl
Size 56.9 MB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
3745fc42dca86ba8a1109ddc7964aed8e1efc0ce8085cb2f140dcd6429f26354
BLAKE2b-256 checksum
How to use checksums
2f33289e45dd65cb0c40a2b5bb45ce3bd5de3ba312a73b739e206e4b3760f99b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.12

Release files / cupy_cuda113-10.6.0-cp39-cp39-manylinux1_x86_64.whl

Download URL cupy_cuda113-10.6.0-cp39-cp39-manylinux1_x86_64.whl
Size 76.0 MB
Tags CPython 3.9 Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
4bf4bc06d991c06b95f6fe558d117cafd93bd4eeaf80606f18dd31d20d2eff25
BLAKE2b-256 checksum
How to use checksums
52c3cbdc6e24cd6748e6cd3db5af149c009b7f5416920c3781e8e19aa3b43b48
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.12

Release files / cupy_cuda113-10.6.0-cp38-cp38-win_amd64.whl

Download URL cupy_cuda113-10.6.0-cp38-cp38-win_amd64.whl
Size 56.9 MB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
c6893ac9040a11610e63973063dfd715dbda8bd07ef99951bab7a09c7f335e1e
BLAKE2b-256 checksum
How to use checksums
8d5f273e272b7011a03bede7c045b397f62a6da43d3b78242bd818f704b08354
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.12

Release files / cupy_cuda113-10.6.0-cp38-cp38-manylinux1_x86_64.whl

Download URL cupy_cuda113-10.6.0-cp38-cp38-manylinux1_x86_64.whl
Size 77.9 MB
Tags CPython 3.8 Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
10dc6899577e445426d81f0960ba9059d9aaa750426997c61fad882d6345264c
BLAKE2b-256 checksum
How to use checksums
9e75fb53afba48cd6d8af79407ee9d3ac58a5b3dc90db01e5c5ae47ab3e240b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.12

Release files / cupy_cuda113-10.6.0-cp37-cp37m-win_amd64.whl

Download URL cupy_cuda113-10.6.0-cp37-cp37m-win_amd64.whl
Size 56.8 MB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
8cc69b9d5735372477a7af3822c8f8e996ffe6de05cfc917500af9dc0117ca3e
BLAKE2b-256 checksum
How to use checksums
e5e7ac84fb6e1a0d3d7e69d1cd3b59529fb55575fa576100959a4ff8006f2820
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.12

Release files / cupy_cuda113-10.6.0-cp37-cp37m-manylinux1_x86_64.whl

Download URL cupy_cuda113-10.6.0-cp37-cp37m-manylinux1_x86_64.whl
Size 74.5 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
22363c2863727cae5154aa4bab9e8a648d7fe66c9e2195d81dd4e8693c2e61ce
BLAKE2b-256 checksum
How to use checksums
c532c1ae28e555811fe1d57cbcdee4961ccf4d8db53e36ec0fe8e4661b11fcc6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.12
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page