MLIR Visualizations
Freyam Mehta
Hi, I am interested in working on the Open Project titled “MLIR Visualizations”.
MLIR allows for representing multiple levels of abstraction all together in the same IR/function. Visualizing MLIR modules therefore requires going beyond visualizing a graph of nodes all at the same level (which is not trivial in and of itself!), nor is it specific to Machine Learning. Beyond visualizing a MLIR module, there is also visualizing MLIR itself that is of interest. In particular, visualizing the rewrite rules, visualizing the matching process (including the failure to match, sort of like https://www.debuggex.com/ 7 but for declarative rewrites), considering effects of rewrites over time, etc.
The visualizations should all be built with open source components but whether standalone (e.g., combining with, say, GraphViz to generate offline images) or dynamic tools (e.g., displayed in browser) is open for discussion. It should be usable completely offline in either case.
We will be working with interested students to refine the exact project based on interests given the wide scope of potential approaches. And open to proposals within this general area.
(Source: Open Projects - MLIR 5)
Would like to discuss ideas and demonstrate some examples and gather opinions.
Some points of discussion:
- Best way to visualize the Input-Output DAGs.
- What features of the graphs can be modified to show useful information?
- What constitutes “useful” information? What would the users like to know about the rewrite process?
Freyam Mehta
Anush Elangovan
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