Synthesize Chakra ET Using Generative AI models
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- Dominant language
- Python
- Stars
- 196
- Forks
- 84
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Description
In paper Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces ， it's mentioned that chaka contains three main components:
- an ET schema, called Chakra ET that captures relevant execution and dependency information‡,
- open-source toolchains such as visualizers, converter, and simulators
- generative AI model for synthesizing execution traces.
but I can't find the third part about the generative AI model in this repository.
I wonder how to use this model to generate et file or whether this part is opensource and available for use.
Thank you.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no implementation files or tests. Start by comparing the paper's generative execution-trace component with the current Chakra repository and its toolchains; done means clarifying whether the model is available here and documenting how to generate an ET file, if supported.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100