[GitHub] [tvm-rfcs] tqchen commented on pull request #89: [RFC] Relax Upstreaming

["tqchen (via GitHub)" <gi...@apache.org>]

tqchen commented on PR #89:
URL: https://github.com/apache/tvm-rfcs/pull/89#issuecomment-1404170556

   Five years ago, we started with a community that comes with a common vision in mind – enabling machine learning engineers to optimize and run computations efficiently on any hardware backend. 
   
   Five years later, the fields of machine learning and MLC(ML compilation) have gone under rapid changes. That same vision is still shared among this community. This is why many of us still feel so fresh when writing code patches, bug fixes, architectural refactors, and new features. We are here today thanks to a diverse community that comes with different perspectives and areas of focus but still aligns around that common vision. 
   
   As a project, we benefit from different perspectives to survive in the ever-changing and competitive area of ML compilation. Hardly one can predict every detail of the future (just observing the set of recent changes such as chatGPT and stable diffusion). Hardly can one definitively assert that one approach would be better than another one from the very beginning. Enabling diverse possibilities helps to move the project forward while enabling different needs.
   
   As a community, while we care about different subsets of modules and do not always need to work on the same thing, there is always an overlap of interests, regardless of whether it is the graph, FFI, TensorIR, or backend that sustains collaborations among different people. Most importantly, we come with a mindset of empowering each other under the same vision.
   
   Thank you, everyone, for participating in this thread. 
   
   This thread arrives at its current state due to different perspectives on possible thoughts of project procedural operations (whether a detailed migration plan and commitment to migration are necessary for the new module proposal). There is a common agreement that migration(if it happens and is being proposed) would require a lot of details and community buy-in, but different opinions about when that can and how that should happen. 
   
   On behalf of the TVM PMC, I would like to recommend an initial step to help us to recognize achieve the following goals from different members of the community:
   - G0: Get us out of stagnation and empower the community, including many who shared their support in this thread, to participate in unity development in the TVM community.
   - G1: Give some time to answer questions, and provide examples to those who have shared needs to have more detailed evidence and possible feasibility analysis of migrating some modules.
   
   Specifically, we would recommend us to follow an existing practice in projects like Hadoop, to empower related development in a branch. ASF mechanism allows any committer to create a branch in the apache repo and do collaborative development there at their own pace. Per our existing process, merging a branch into main still requires lazy consensus. Branch development offers flexibility while accepting the risk of blocking when merging to the main. As a result, there are general incentives to keep alignment with the majority of the community and continued engagement to get buy-in. Branch development offers a way to collaborate on a possible but not definitive future of the project, as a branch can come with different outcomes such as being partially merged, continued development, or abandoned. Enabling different perspectives is important for us both as a project and community. 
   
   TVM PMC re-affirmed that branch development can be used as an option for the project and specific development around tvm unity. We would like to offer it as a possible option for the community and the first step of execution, with the goal of getting related pieces into main. I wrote down a more detailed post, which we would love to get everyone’s feedback. Of course, this is only one possible option, and community members can freely choose their ways of participation.
   
   Developing in a branch will also give some time buffer to answer G1. It is valuable to answer questions and have grounded conversations to give more information to the members who are not yet on board with the new module. Noticeably, to many community members, detailed code examples, benchmarks, and continued engagement are necessary to get broader community buy-in. We would recommend having focused discussions on the questions of interest (e.g. give concrete code tutorials for BYOC) to help the community members who have related questions. We encourage such continued conversations in forum threads, meetups, and development interactions with the goal of getting as much information as possible. Again such interactions aim at demonstrating possibilities, but not warrant deprecation or migration since that choice should still lie in the hands of the community. Hopefully, they give more comprehensive pictures for us to make follow-up decisions collectively. 
   
   As part of winter break, I started to do more coding, and I was really fascinated to see that passion still is deep in my heart(and I believe in many of us) after so many years, thanks to this community and our common vision. As a community member, I am really motivated to spend focused energy helping to build concrete code examples and tutorial materials for G1.
   
   Please also checkout [this post](https://discuss.tvm.apache.org/t/establish-tvm-unity-branch/14244) for more details
   


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: commits-unsubscribe@tvm.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org