Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Best practice #3039

Merged
merged 8 commits into from
Jan 9, 2025
Merged

Best practice #3039

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
ee16dee
merge from remote branch
AlexandreEichenberger Dec 19, 2024
5b6b918
added files
AlexandreEichenberger Dec 19, 2024
5e7e21f
fix tests
AlexandreEichenberger Dec 19, 2024
97d871a
update
AlexandreEichenberger Dec 20, 2024
903fcb4
update
AlexandreEichenberger Jan 9, 2025
3bcadfa
adding governance file
AlexandreEichenberger Jan 9, 2025
ca8e5f4
adding adopters
AlexandreEichenberger Jan 9, 2025
85881a4
update
AlexandreEichenberger Jan 9, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 6 additions & 0 deletions GOVERNANCE.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
<!--- SPDX-License-Identifier: Apache-2.0 -->

# Governance

The overall governance of the ONNX-MLIR project is described at https://github.com/onnx/onnx/blob/main/community/readme.md#onnx-open-governance.
The ONNX-MLIR project is under the purview of the Compilers Special Interest Group (Compilers SIG).
5 changes: 5 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -161,6 +161,11 @@ Practically, each `git commit` needs to be signed, see [here](docs/Workflow.md#s

The ONNX-MLIR code of conduct is described at https://onnx.ai/codeofconduct.html.

## Adopters
<!-- Please open a PR to add your company/product here. -->

* IBM [zDLC compiler](https://github.com/IBM/zDLC) uses onnx-mlir technology to transform ONNX models into executable binary for [IBM Telum](https://www.ibm.com/z/telum) servers.

## Projects related/using onnx-mlir

* The [onnx-mlir-serving](https://github.com/IBM/onnx-mlir-serving) project implements a GRPC server written with C++ to serve onnx-mlir compiled models. Benefiting from C++ implementation, ONNX Serving has very low latency overhead and high throughput.
Loading