Python API for Qualcomm® AI Hub.
Reason this release was yanked:
Missing a required dependency
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.
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