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svkeerthy committed Feb 22, 2024
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Expand Up @@ -77,21 +77,26 @@ target_link_libraries(LLVMMLPass PRIVATE LLVMMLBridge)
```
To use TensorFlow AOT Model Runner, you need to make use of `tf_find_and_compile` method exposed in [`cmake/modules/TensorFlowCompile.cmake`](cmake/modules/TensorFlowCompile.cmake) in the CMakeLists.txt of your pass with appropriate arguments. An example of integrating TF AOT Model with inlining pass is shown [here](https://github.com/IITH-Compilers/ml-llvm-project/blob/tfmodel/llvm/lib/Analysis/CMakeLists.txt).

## Examples
TBD

## Artifacts
Libraries are autogenerated for every relevant check-in with GitHub actions. Such generated artifacts are tagged along with the successful runs of [`Publish`]() action.

## Citation
```
@misc{venkatakeerthy-2023-MLCompilerBridge,
title={The Next 700 ML-Enabled Compiler Optimizations},
author={S. VenkataKeerthy and Siddharth Jain and Umesh Kalvakuntla and Pranav Sai Gorantla and Rajiv Shailesh Chitale and Eugene Brevdo and Albert Cohen and Mircea Trofin and Ramakrishna Upadrasta},
year={2023},
eprint={2311.10800},
archivePrefix={arXiv},
primaryClass={cs.PL}
@inproceedings{venkatakeerthy-2024-MLCompilerBridge,
author = {VenkataKeerthy, S. and Jain, Siddharth and Kalvakuntla, Umesh and Gorantla, Pranav Sai and Chitale, Rajiv Shailesh and Brevdo, Eugene and Cohen, Albert and Trofin, Mircea and Upadrasta, Ramakrishna},
title = {The Next 700 ML-Enabled Compiler Optimizations},
year = {2024},
isbn = {9798400705076},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3640537.3641580},
doi = {10.1145/3640537.3641580},
booktitle = {Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction},
pages = {238–249},
numpages = {12},
keywords = {Machine Learning for Compiler Optimizations, ONNX, Pipes, TensorFlow AOT, gRPC},
location = {<conf-loc>, <city>Edinburgh</city>, <country>United Kingdom</country>, </conf-loc>},
series = {CC 2024}
}
```

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