Skip to main content

Pathfinder for CUDA components

Project description

NVIDIA

cuda.pathfinder aims to be a one-stop solution for locating CUDA components. Currently it supports locating and loading dynamic libraries (.so, .dll), and locating CTK header directories. Support for other artifacts is in progress.

cuda.pathfinder is under active development. Feedback and suggestions are welcome.

Installation

pip install cuda-pathfinder

cuda-pathfinder is CUDA Toolkit (CTK) version-agnostic. It follows the general CUDA Toolkit support policy: the two most recent major versions are supported simultaneously.

Project details


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 Distribution

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

cuda_pathfinder-1.3.4-py3-none-any.whl (30.9 kB view details)

Uploaded Python 3

File details

Details for the file cuda_pathfinder-1.3.4-py3-none-any.whl.

File metadata

File hashes

Hashes for cuda_pathfinder-1.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 fb983f6e0d43af27ef486e14d5989b5f904ef45cedf40538bfdcbffa6bb01fb2
MD5 51c2b7f7c04128d3a7516c3536fc92e2
BLAKE2b-256 b85edb279a3bfbd18d59d0598922a3b3c1454908d0969e8372260afec9736376

See more details on using hashes here.

Provenance

The following attestation bundles were made for cuda_pathfinder-1.3.4-py3-none-any.whl:

Publisher: release.yml on NVIDIA/cuda-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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