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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).
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## Examples
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TBD
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## Artifacts
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Libraries are autogenerated for every relevant check-in with GitHub actions. Such generated artifacts are tagged along with the successful runs of [`Publish`]() action.
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## Citation
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```
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@misc{venkatakeerthy-2023-MLCompilerBridge,
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title={The Next 700 ML-Enabled Compiler Optimizations},
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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},
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},
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title = {The Next 700 ML-Enabled Compiler Optimizations},
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year = {2024},
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isbn = {9798400705076},
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publisher = {Association for Computing Machinery},
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address = {New York, NY, USA},
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url = {https://doi.org/10.1145/3640537.3641580},
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doi = {10.1145/3640537.3641580},
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booktitle = {Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction},
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