Giter Club home page Giter Club logo

backend-scoreboard's Introduction

ONNX Backend Scoreboard

This is a repository of the ONNX Backend Scoreboard which measures the compliance of ONNX backends with the standard.

📈 Check out the scoreboard page

  • To add another backend to the scoreboard please follow these instructions.
  • More information for developers here.

backend-scoreboard's People

Contributors

ac2zoom avatar andife avatar chinhuang007 avatar dependabot[bot] avatar jywu-msft avatar maxwillzq avatar mitruska avatar postrational avatar szha avatar

Stargazers

avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar

Watchers

avatar avatar avatar avatar avatar avatar

Forkers

ac2zoom prasanthpul jywu-msft neowine-junhee terrorizer1980 narendrapsgim t-jankowski postrational chinhuang007 szha etusien global-localhost global19 global19-atlassian-net erickramon1235 hogepodge kyoiora python-repository-hub jcwchen andife cualquiercosa327 maxwillzq asmorkalov vthaniel

backend-scoreboard's Issues

Improving the number of successful specifying numpy and protobuf version.

Hi,
using the following combination of dependencies

RUN pip3 install
onnx==1.12.0
onnxruntime==1.12.0
protobuf==3.20.1
numpy==1.22.4

results in a lot of successful tests...

= 102 failed, 979 passed, 1081 deselected, 1474 warnings in 154.80s (0:02:34) ==

I wonder what the further reasonable proceeding would be?

How do ops under ML namespace enter the score calculation?

I see there have been new tests added for ops under the ml namespace, see this PR onnx/onnx#4881.

The current scoreboard setup will automatically pick up all tests under the backend/test/case/node directory. Since most backend providers don't support the ml ops, should such tests be excluded from the scoreboard? eg. by specifying -k "not test_ai_onnx_ml_".

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.