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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.

Release files for cupy-rocm-5-0 13.3.0

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-rocm-5-0 13.3.0
File
cupy_rocm_5_0-13.3.0-cp312-cp312-manylinux2014_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64 Details
cupy_rocm_5_0-13.3.0-cp311-cp311-manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
cupy_rocm_5_0-13.3.0-cp310-cp310-manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
cupy_rocm_5_0-13.3.0-cp39-cp39-manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details

Total release size: 241.7 MB

Release files / cupy_rocm_5_0-13.3.0-cp312-cp312-manylinux2014_x86_64.whl

Download URL cupy_rocm_5_0-13.3.0-cp312-cp312-manylinux2014_x86_64.whl
Size 60.3 MB
Tags CPython 3.12 Linux glibc 2.17+ x86-64
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Uploaded via twine/5.1.0 CPython/3.12.5

Release files / cupy_rocm_5_0-13.3.0-cp311-cp311-manylinux2014_x86_64.whl

Download URL cupy_rocm_5_0-13.3.0-cp311-cp311-manylinux2014_x86_64.whl
Size 60.6 MB
Tags CPython 3.11 Linux glibc 2.17+ x86-64
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Uploaded via twine/5.1.0 CPython/3.12.5

Release files / cupy_rocm_5_0-13.3.0-cp310-cp310-manylinux2014_x86_64.whl

Download URL cupy_rocm_5_0-13.3.0-cp310-cp310-manylinux2014_x86_64.whl
Size 60.1 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64
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Uploaded via twine/5.1.0 CPython/3.12.5

Release files / cupy_rocm_5_0-13.3.0-cp39-cp39-manylinux2014_x86_64.whl

Download URL cupy_rocm_5_0-13.3.0-cp39-cp39-manylinux2014_x86_64.whl
Size 60.7 MB
Tags CPython 3.9 Linux glibc 2.17+ x86-64
SHA-256 checksum
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134383452e126916a13e085e2206d4c303d1968171facce72fe61b46d1536318
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Uploaded via twine/5.1.0 CPython/3.12.5
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