<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/60751>60751</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            `llvm-config` does not report libs needed for MLGO
        </td>
    </tr>

    <tr>
      <th>Labels</th>
      <td>
            new issue
      </td>
    </tr>

    <tr>
      <th>Assignees</th>
      <td>
      </td>
    </tr>

    <tr>
      <th>Reporter</th>
      <td>
          chbaker0
      </td>
    </tr>
</table>

<pre>
    When built with MLGO enabled, a couple LLVM libs use a tensorflow library built in-tree. However, `llvm-config` does not list these dependencies. This makes it difficult to integrate such an LLVM build into another build that doesn't care whether MLGO is enabled...

```
$ bin/llvm-config --libs --system-libs analysis
-lLLVMAnalysis -lLLVMProfileData -lLLVMSymbolize -lLLVMDebugInfoPDB -lLLVMDebugInfoMSF -lLLVMDebugInfoDWARF -lLLVMObject -lLLVMTextAPI -lLLVMMCParser -lLLVMIRReader -lLLVMAsmParser -lLLVMMC -lLLVMDebugInfoCodeView -lLLVMBitReader -lLLVMCore -lLLVMRemarks -lLLVMBitstreamReader -lLLVMBinaryFormat -lLLVMTargetParser -lLLVMSupport -lLLVMDemangle
-lrt -ldl -lpthread -lm -lz -lxml2

$ bin/llvm-nm -uC lib/libLLVMAnalysis.a | grep tensorflow
                 U tensorflow::XlaCompiledCpuFunction::Run()
                 U tensorflow::XlaCompiledCpuFunction::XlaCompiledCpuFunction(tensorflow::XlaCompiledCpuFunction::StaticData const&, tensorflow::XlaCompiledCpuFunction::AllocMode)
                 U tensorflow::XlaCompiledCpuFunction::~XlaCompiledCpuFunction()
 U tensorflow::XlaCompiledCpuFunction::LookupArgIndex(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&) const
 U tensorflow::XlaCompiledCpuFunction::LookupResultIndex(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&) const
```
</pre>
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