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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file qai_hub-0.32.0-py3-none-any.whl.
File metadata
- Download URL: qai_hub-0.32.0-py3-none-any.whl
- Upload date:
- Size: 110.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
017953f3bee0b6fb20780a04954e6f51f5eb25bc9a92d2a5beb47e07b3aceb8a
|
|
| MD5 |
07fd29db6688bcd722b232b9013f37f1
|
|
| BLAKE2b-256 |
339679575389276f6d9883077db7e3b743916612e7a3d48b8fee2dbc139e54aa
|
