Skip to main content

Python API for Qualcomm® AI Hub.

Project description

Qualcomm® AI Hub simplifies deploying AI models for vision, audio, and speech applications to edge devices.

helps to optimize, validate, and deploy machine learning models on-device for vision, audio, and speech use cases.

With Qualcomm® AI Model Hub, you can:

  • Convert trained models from frameworks like PyTorch for optimized on-device performance on Qualcomm® devices.

  • Profile models on-device to obtain detailed metrics including runtime, load time, and compute unit utilization.

  • Verify numerical correctness by performing on-device inference.

  • Easily deploy models using Qualcomm® AI Engine Direct or TensorFlow Lite.

qai_hub is a python package that provides an API for users to upload a model, submit the profile jobs for hardware and get key metrics to optimize the machine learning model further.

Installation with PyPI

The easiest way to install qai_hub is by using pip, running

pip install qai-hub

For more information, check out the documentation.

License

Copyright (c) 2023, Qualcomm Technologies Inc. All rights reserved.

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

qai_hub-0.17.0-py3-none-any.whl (90.2 kB view details)

Uploaded Python 3

File details

Details for the file qai_hub-0.17.0-py3-none-any.whl.

File metadata

  • Download URL: qai_hub-0.17.0-py3-none-any.whl
  • Upload date:
  • Size: 90.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for qai_hub-0.17.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b58eb91ca650ddc223eaddd57c45734f6c874a2c76aa00ec0e6a49c09852fc34
MD5 f717f0c1eeda3c3b86f2c8a9edca7bbb
BLAKE2b-256 bd59b2f78392e153f61afa3432fe41d5c6c0b6f8a4c95d7ec0354554f79f1b2d

See more details on using hashes here.

Supported by

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