Update package descriptions
This commit is contained in:
Jambay Kinley 2023-03-23 18:53:16 -07:00 коммит произвёл GitHub
Родитель ff14ee7ab8
Коммит deee8cfa54
Не найден ключ, соответствующий данной подписи
Идентификатор ключа GPG: 4AEE18F83AFDEB23
3 изменённых файлов: 14 добавлений и 4 удалений

Просмотреть файл

@ -3,6 +3,7 @@ trigger:
branches:
include:
- main
pr: none
stages:
- stage: Build_Docs

Просмотреть файл

@ -14,7 +14,7 @@ Instead, please report them to the Microsoft Security Response Center (MSRC) at
If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com). If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://aka.ms/opensource/security/pgpkey).
You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://aka.ms/opensource/security/msrc).
You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://aka.ms/opensource/security/msrc).
Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:
@ -38,4 +38,4 @@ We prefer all communications to be in English.
Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://aka.ms/opensource/security/cvd).
<!-- END MICROSOFT SECURITY.MD BLOCK -->
<!-- END MICROSOFT SECURITY.MD BLOCK -->

Просмотреть файл

@ -53,11 +53,20 @@ CLASSIFIERS = [
"Programming Language :: Python :: 3.10",
]
long_description = (
"Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across"
" model compression, optimization, and compilation. Given a model and targeted hardware, Olive composes the best"
" suitable optimization techniques to output the most efficient model(s) for inferencing on cloud or edge, while"
" taking a set of constraints such as accuracy and latency into consideration."
)
description = long_description.split(".")[0] + "."
setup(
name="olive-ai",
version=VERSION,
description="A deep learning model optimization toolchain",
long_description="",
description=description,
long_description=long_description,
author="Microsoft Corporation",
author_email="olivedevteam@microsoft.com",
license="MIT License",