forked from OSchip/llvm-project
8c63df2416
If we use training algorithms that don't need partial rewards, we don't need to worry about an ir2native model. In that case, training logs won't contain a 'delta_size' feature either (since that's the partial reward). Differential Revision: https://reviews.llvm.org/D86481 |
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| include | ||
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| test | ||
| tools | ||
| unittests | ||
| utils | ||
| .clang-format | ||
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| LICENSE.TXT | ||
| LLVMBuild.txt | ||
| README.txt | ||
| RELEASE_TESTERS.TXT | ||
| configure | ||
| llvm.spec.in | ||
README.txt
The LLVM Compiler Infrastructure ================================ This directory and its subdirectories contain source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and runtime environments. LLVM is open source software. You may freely distribute it under the terms of the license agreement found in LICENSE.txt. Please see the documentation provided in docs/ for further assistance with LLVM, and in particular docs/GettingStarted.rst for getting started with LLVM and docs/README.txt for an overview of LLVM's documentation setup. If you are writing a package for LLVM, see docs/Packaging.rst for our suggestions.