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NVIDIA Math Python libraries

Project description

nvmath-python aims to bring the power and performance of the NVIDIA math libraries to the Python ecosystem with intuitive, pythonic APIs. The ultimate goal is to provide users full access to all of the available library features in a variety of execution spaces.

The documentation can be found at https://docs.nvidia.com/cuda/nvmath-python/index.html, and examples are at https://github.com/NVIDIA/nvmath-python/tree/main/examples.

Installation

pip install nvmath-python[cu12]

Please refer to the installation instructions in the documentation for different ways of installing nvmath-python, including building from source.

Project details


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nvmath_python-0.1.0-cp312-cp312-win_amd64.whl (5.3 MB view hashes)

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nvmath_python-0.1.0-cp312-cp312-manylinux_2_28_aarch64.whl (18.5 MB view hashes)

Uploaded CPython 3.12 manylinux: glibc 2.28+ ARM64

nvmath_python-0.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.5 MB view hashes)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

nvmath_python-0.1.0-cp311-cp311-win_amd64.whl (5.3 MB view hashes)

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nvmath_python-0.1.0-cp311-cp311-manylinux_2_28_aarch64.whl (19.0 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.28+ ARM64

nvmath_python-0.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.6 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

nvmath_python-0.1.0-cp310-cp310-win_amd64.whl (5.3 MB view hashes)

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nvmath_python-0.1.0-cp310-cp310-manylinux_2_28_aarch64.whl (18.2 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.28+ ARM64

nvmath_python-0.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.8 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

nvmath_python-0.1.0-cp39-cp39-win_amd64.whl (5.5 MB view hashes)

Uploaded CPython 3.9 Windows x86-64

nvmath_python-0.1.0-cp39-cp39-manylinux_2_28_aarch64.whl (18.3 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.28+ ARM64

nvmath_python-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.8 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

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