Skip to main content

NVIDIA Math Python libraries

Project description

nvmath-python brings the power and performance of 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.

Installation

pip install nvmath-python[cu12]

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

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

If you're not sure about the file name format, learn more about wheel file names.

nvmath_python-0.9.0-cp314-cp314-win_amd64.whl (3.6 MB view details)

Uploaded CPython 3.14Windows x86-64

nvmath_python-0.9.0-cp314-cp314-manylinux_2_28_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ x86-64

nvmath_python-0.9.0-cp314-cp314-manylinux_2_28_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ ARM64

nvmath_python-0.9.0-cp313-cp313-win_amd64.whl (3.5 MB view details)

Uploaded CPython 3.13Windows x86-64

nvmath_python-0.9.0-cp313-cp313-manylinux_2_28_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

nvmath_python-0.9.0-cp313-cp313-manylinux_2_28_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ ARM64

nvmath_python-0.9.0-cp312-cp312-win_amd64.whl (3.5 MB view details)

Uploaded CPython 3.12Windows x86-64

nvmath_python-0.9.0-cp312-cp312-manylinux_2_28_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

nvmath_python-0.9.0-cp312-cp312-manylinux_2_28_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ ARM64

nvmath_python-0.9.0-cp311-cp311-win_amd64.whl (3.6 MB view details)

Uploaded CPython 3.11Windows x86-64

nvmath_python-0.9.0-cp311-cp311-manylinux_2_28_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

nvmath_python-0.9.0-cp311-cp311-manylinux_2_28_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ ARM64

nvmath_python-0.9.0-cp310-cp310-win_amd64.whl (3.6 MB view details)

Uploaded CPython 3.10Windows x86-64

nvmath_python-0.9.0-cp310-cp310-manylinux_2_28_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

nvmath_python-0.9.0-cp310-cp310-manylinux_2_28_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ ARM64

File details

Details for the file nvmath_python-0.9.0-cp314-cp314-win_amd64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 e47407eb3696aab71fdd531856c30cd7e6710d4b8f1f00be5e01a875418d4101
MD5 497e0aab5b75df47a7efcd3299111e22
BLAKE2b-256 9ac5f3dedf7276b3d6d733d9b62e75c155e6772b1eb7a0eb7b6ae4176fb4b45d

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp314-cp314-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp314-cp314-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e007a13a4823f04d4ce9601f9dcb44243803891b9b93f1e54d6f8c767540536c
MD5 1a8b09ee0750845a9c9f0d3b10b01c1d
BLAKE2b-256 ffe0305cfa433dfd3cb1fb4febf9e22d4b38a1c0aa3390ad585b69b67c03e609

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp314-cp314-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp314-cp314-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 84996657da62d21b95b0c31ddb246962eba6393157aec81eb6b1b1bce3f644f6
MD5 7ffa42dd5368f11d3bdbe2cf9d41f94b
BLAKE2b-256 d12ed7ae3fefb32de5aecdd0720c851fd7265d5185a101ff7ccbe7eca3d99913

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 ccc6d46ebae171362efe581e21c576bb34ef81853c53280b409ce231fb8e9791
MD5 ad16bef6b4383038d6331e9776c233a8
BLAKE2b-256 69f3da5825468bb17b461eb24e9cfcc9cd090a445f21b0d11981a8b5d46a59f5

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 c06a388fc5ce53975db86a0b3e433299fdb2fbdf624cae4e60a4af45bd82c7f9
MD5 bd0f38344f2480a23fafa81a68be050d
BLAKE2b-256 792331fd51761bbe66b999bdf845e06ddf47cf576a478a871d60d50d37a542b7

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp313-cp313-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp313-cp313-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 d951d3968c376524e3387dbfeacd7cafe6da9a8684451eb699d493fdabd6e7b4
MD5 4dd9803eca28c7ed4b3b22f9bd64d91b
BLAKE2b-256 a4680e894cb738562adf0b08be03d7b330d81f1b567b86ac5f3832d7736eb624

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 53cf7f22dd0a44d1462070387a331f8bc604126dd5f7c71dfa8dd416c5e7029e
MD5 c586743c4cdb80992338b001e3dc50b6
BLAKE2b-256 9471edab7d1070341bf9849531109c6834d51f5cfff4275395b9f341db50b0d1

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 13d9e03d55936710634dceeec89101c6c0203a922bf830165093754271fb14eb
MD5 d2228353943007596cbd8ef9770c51ac
BLAKE2b-256 a8063b3f6851557496d9fb617f2466fed8285fe0a3c37cc5927a108ebf5d688f

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp312-cp312-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp312-cp312-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 c329362de9481335895be4edd326be41092bd626bd939e6b5bf0803ec53ac4f8
MD5 c137df57a06b293b4e2a3c2e693d2ab6
BLAKE2b-256 c8ca961d01ad05a502123fb9c64bc7d5bf22642faaa024bf6863ac71e58446d3

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c82f323bbe5395f49961294c99c0516ecb0877ad7556bc8a756f26ea0e42ee78
MD5 bce71884cabb9b76f469a3f8559ea225
BLAKE2b-256 b84902beb28e812f1d99b2cc90ce67c73ae43320ee8d4d491b4544e5d37fdac3

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 8517babb36887ef367d75db8bddced90a08c8cc4c360cf19052eaff9f4481149
MD5 4d9330338874c36e16055077dc6504e4
BLAKE2b-256 51076a0366322987c0c69159479a102b20c6f51b9c0f88ef6cd6219c4b9ee08d

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 bd5d2e49ddb120e41c663db4a0599f78ac359f7c59273062d9f8537e2d0d9933
MD5 70df3a50500a8357aba5df5ec4a916d5
BLAKE2b-256 e42dfc7d215d45771c89df7f98ac7df350b8f56e70b8119caaa16d150fb3459f

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 cc66c433b8bc0fd1de287af8a1ae3bf1b66ef2c1b259e218855f22c194c8e262
MD5 f2779c9d6481f059af717e72d60c9d7c
BLAKE2b-256 23234b085761b1c785a2449b309d5fb067616b19cdc064bc7d70e3dbdd8130de

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 1e0c91f275b5e025b84bbe6e22dbbbc5305f5df0a00803e8bfb68b4cac3bb241
MD5 cf6d9378050108b1046767a3f4ba8780
BLAKE2b-256 429f31f57b0453641153754da133d45408cad43beb2f61d7739845e7f1de8aac

See more details on using hashes here.

File details

Details for the file nvmath_python-0.9.0-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for nvmath_python-0.9.0-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 b9bd878f6da62f1f43394f234dc364d3007cab55543f7546821832e55d7a7b8e
MD5 9eefe54311e5ca90abcaed4b7b8aec47
BLAKE2b-256 25a13571648e040c5c3bdc96d8758bf879247bbf1bbd69e55546990feed3fbed

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page