Qualcomm® AI Hub
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.
1 maintainer
Metadata
1 maintainer
Release files for qai-hub 0.57.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| qai_hub-0.57.0-py3-none-any.whl | Python 3 | none | any | Details for qai_hub-0.57.0-py3-none-any.whl |
Release files / qai_hub-0.57.0-py3-none-any.whl
| Download URL | qai_hub-0.57.0-py3-none-any.whl |
|---|---|
| Size | 142.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fbefaf4f1ef51032634c9ac409da88eb117f4c0c40f297d89e8a2cd7b86218f0
|
|
BLAKE2b-256 checksum How to use checksums |
66653d5cc57045b9b9086c24fd42ae41f356921b9fdab1635af89eb6409e202c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Security for qai-hub 0.57.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
