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For more details about MLGO, please refer to our paper
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[ MLGO: a Machine Learning Guided Compiler Optimizations Framework] ( https://arxiv.org/abs/2101.04808 ) .
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+ For more details about how to contribute to the project, please refer to
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+ [ contributions] ( docs/contributing.md ) .
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## Pretrained models
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We occasionally release pretrained models that may be used as-is with LLVM.
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# How to Contribute
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- We'd love to accept your patches and contributions to this project. There are
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- just a few small guidelines you need to follow.
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+ We'd love to accept your patches and contributions to this project. A good
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+ starting step to get familiar with the project and set up a development
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+ enviroment as per [ demo] ( docs/demo/demo.md ) . After running through the demo, a
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+ good second step is to pick up an open
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+ [ issue] ( https://github.com/google/ml-compiler-opt/issues ) or create one that you
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+ would like to work on and submit a patch for. Please make sure that your patch
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+ adheres to all the guidelines given below.
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## Contributor License Agreement
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