How to build the LLVM Test Suite with an arbitrary pass?

Recently, I embarked on my journey in compiler design by joining UFMG’s Compilers Lab as a graduate researcher.

My first challenge was to become familiar with LLVM and learn how to develop a pass for it. However, that’s not all, as we are also working with code compression techniques and require an infrastructure to test our developed passes. Fortunately, the LLVM Test Suite is available to us.

We are using LLVM 17 and its test suite. However, we discovered that compiling the entire project with a newly created pass is not a trivial task, since there are no intermediate steps in the CMake project for us to specify our new pass in the compilation pipeline. Therefore, we began researching new ways to compile the entire project with our new pass.

Introduction

Perhaps one of the nicest parts of the LLVM project is the Test Suite. This is a large collection of C and C++ benchmarks that compiler engineers can use to test the techniques that they implement. The suite includes a diverse array of programs and libraries, ranging from small, single-file programs to large, complex applications, ensuring comprehensive coverage of real-world scenarios.

By leveraging this extensive test suite, developers can assess the performance, correctness, and robustness of their compiler optimizations and transformations. Furthermore, the suite is continually updated and maintained by the LLVM community, incorporating new benchmarks and reflecting the latest industry practices. This makes it an invaluable resource for anyone involved in compiler development or research, providing a solid foundation for testing and validating new ideas in compiler technology.

Problem Statement

Our task is to compile the entire Test Suite with an arbitrary pass, so that we can compare different metrics between a baseline and a chosen experiment. In other words, we want to enable the following pipeline:

1. Compile every program in the Test Suite, producing a set of LLVM IR files. Let this collection of bytecodes be called “Control”;
2. Collect metrics from “Control”;
3. Compile every program in the Test Suite, this time with a set of passes of interest, producing a set of LLVM IR files. Let this new collection of bytecodes be called “Test”;
4. Collect metrics from “Test”;
5. Produce a report comparing metrics from “Control” and “Test”.

As an example, assume that we want to test the func-merging pass. This pass takes functions that are structurally equal and merge them to reduce code size. Imagine that we want to measure the code-size reduction enabled by this optimization. LLVM provides a pass to count instructions: instcount. Thus, we can combine these two passes to get the numbers that we want, e.g.:

1. Produce the “Control” set of bytecode files;
2. Use the instcount pass to count the number of instructions in the “Control” dataset;
3. Produce the “Test” dataset applying func-merging onto the Control dataset;
4. Use the instcount pass to count the number of instructions in the “Test” dataset;
5. Produce a report comparing the number of instructions in the “Control” and “Test” datasets.

Solution

To solve our problem, we’re going to:

1. Apply a patch in the Test Suite’s CMake project;
2. Run some shell commands to get the project compiled;
3. Run the test suite with LIT to get the results;
4. Finally, get the results compared.

Cloning LLVM Test Suite

To clone the project’s repository, run the following command inside a folder of your choice:

$ git clone -b release/17.x https://github.com/llvm/llvm-test-suite.git

Building Test Suite Binaries

To build the project, we need to apply our patch into the CMake files. Then, we’ll configure and build the entire Test Suite with our patch.

Applying the Patch

The following commit synthesizes all changes we’ve made in our patch, for you to apply it locally:

Patch’s commit

Configuring and Building CMake Project

In our case, we want to count how many instructions programs have before applying our pass. Thus, we’re going to build the project two times, one to get the baseline tests’ results, and the second one to get our experiment tests’ result.

First Running

Assuming your current directory is “path/to/llvm-test-suite”, run:

$ mkdir -p build
$ cd build
$ cmake -G "Ninja" -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_C_FLAGS="-flto" -DCMAKE_CXX_FLAGS="-flto" \
-DTEST_SUITE_COLLECT_INSTCOUNT=ON -DTEST_SUITE_SELECTED_PASSES= -DTEST_SUITE_PASSES_ARGS= \
-DTEST_SUITE_COLLECT_COMPILE_TIME=OFF \
-DCMAKE_EXE_LINKER_FLAGS="-flto -fuse-ld=lld -Wl,--plugin-opt=-lto-embed-bitcode=post-merge-pre-opt" \
-C ../cmake/caches/O1.cmake ..

Note: we assume you already have ninja-build installed. If you don’t, just ignore the -G "Ninja" argument in the CMake command.

Now, build the project with:

$ cmake --build .

Running LIT

To run the tests with LIT, create a separate folder for the results and run it:

$ mkdir -p ~/lit-results
$ llvm-lit -v -o ~/lit-results/results_instcount.json .

Second Running

The chosen pass’ name must be specified by the TEST_SUITE_SELECTED_PASSES CMake env. variable. If you need to run a sequence of passes, just write them in the desired order separated by a comma, like:

-DTEST_SUITE_SELECTED_PASSES=pass-1,pass-2

It is also possible to pass arguments related to your pass using the following CMake env. variable:

-DTEST_SUITE_PASSES_ARGS=-brfusion-soa=false\;-brfusion-threshold=0

Note: each option must be separated by the escaped semicolon character \;.

Then, to compile the test suite again with the chosen pass, reconfigure the CMake project with the following command:

$ cmake -G "Ninja" -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_C_FLAGS="-flto" -DCMAKE_CXX_FLAGS="-flto" \
-DTEST_SUITE_COLLECT_INSTCOUNT=ON -DTEST_SUITE_SELECTED_PASSES=func-merging -DTEST_SUITE_PASSES_ARGS= \
-DTEST_SUITE_COLLECT_COMPILE_TIME=OFF \
-DCMAKE_EXE_LINKER_FLAGS="-flto -fuse-ld=lld -Wl,--plugin-opt=-lto-embed-bitcode=post-merge-pre-opt" \
-C ../cmake/caches/O1.cmake ..

Then, build the project again:

$ cmake --build .

Running LIT

Run the tests with LIT again:

$ llvm-lit -v -o ~/lit-results/results_func-merging.json .

Comparing Results

To compare the results by instcount and size..text metrics, run the following python script provided by the test suite:

Assuming your current directory is “path/to/llvm-test-suite/build”.

$ python3 ../utils/compare.py --full --diff -m instcount -m size..text ~/lit-results/results_instcount.json ~/lit-results/results_func-merging.json > ~/lit-results/test-results.txt

Comparison Result

Conclusion

Our objective is to compile the Test Suite using different LLVM passes for metric comparison. Initially, we compile the suite with the instcount pass to determine the instruction count of generated bytecode files, establishing a baseline metric. Subsequently, we compile the same suite with the func-merging pass applied to the binaries and then reevaluate the instruction count.

By analyzing the differences in instruction counts between the baseline (using instcount) and the experimental setup (with func-merging), we can draw conclusions on the effectiveness of the func-merging pass for code compression within the LLVM framework.

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Extra

There are some tweaks we can do when configuring the CMake project. For instance, we can select specific test suites to be compiled and run by LIT. Moreover, it is possible to skip targets that failed the CMake build process. Finally, it is possible to configure a shell script to automate the process of running and comparing experiments.

Build Specific Test Suites

Let’s say we want to compile only the SingleSource and MultiSource test suites. To do that, we need to specify them using the following CMake variable:

-DTEST_SUITE_SUBDIRS=semicolon;separated

This way, we get the following CMake command to configure our baseline build:

$ cmake -G "Ninja" -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_C_FLAGS="-flto" -DCMAKE_CXX_FLAGS="-flto" \
-DTEST_SUITE_COLLECT_INSTCOUNT=ON -DTEST_SUITE_SELECTED_PASSES= -DTEST_SUITE_PASSES_ARGS= \
-DTEST_SUITE_COLLECT_COMPILE_TIME=OFF \
-DCMAKE_EXE_LINKER_FLAGS="-flto -fuse-ld=lld -Wl,--plugin-opt=-lto-embed-bitcode=post-merge-pre-opt" \
-C ../cmake/caches/O1.cmake .. \
"-DTEST_SUITE_SUBDIRS=SingleSource;MultiSource"

How to Skip Failed Targets

When building the CMake project, there may have some build targets that fail the compilation process at some step. Skipping these targets in the build process is interesting when you want to know what is the maximum number of targets you can build with your pass.

To do that, first you need to know which build system you’re using. When using ninja-build, you can specify the -k option to skip all failed tests [4]. Once you know the correct CLI options that enables you to keep building the CMake project, you can append them into the build command using the -- chars:

$ cmake --build . -- -k 0

Running and Comparing Experiments Automatically

I had three passes to test and collect code size metrics. These are func-merging, loop-rolling and brfusion. Basically, if I want to collect those metrics, I just rebuild the test suite over and over. But there may have some build targets that failed, tests that don’t pass when they are compiled with different passes or tests that don’t terminate under LIT.

To tackle these problems, my current approach is to ignore all files that are associated with failed tests and run the experiments in a chosen order.

Building the test suite with my passes before the baseline guarantees that my comparison of results are computed correctly, given the same set of .test files.

To prevent LIT from entering an infinite loop, I’ve used the --timeout CLI option to set a maximum time of execution of 120 seconds.

$ llvm-lit -s --timeout 120 -v -o ~/lit-results/results_baseline.json .

Note: to use this feature, you need to install the psutil python package.

Here is the PoC of my approach: https://is.gd/Ezd8nv.

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Errata

It was assumed in the CMake commands that the tests should not be really run by LIT, but instead they were being used to collect only code size metrics, compromising the correctness of each test. Hence, to fix that, I’ve removed the following CMake variable from the commands:

-DTEST_SUITE_RUN_BENCHMARKS=OFF

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References

[1] https://discourse.llvm.org/t/how-to-use-llvm-test-suite-to-experiment-with-alias-analysis/69668/10

[2] https://releases.llvm.org/17.0.1/docs/TestSuiteGuide.html

[3] https://releases.llvm.org/17.0.1/docs/CommandGuide/lit.html

[4] https://manpages.debian.org/bullseye/ninja-build/ninja.1.en.html