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Alive2 consists of several libraries and tools for analysis and verification of LLVM code and transformations. Alive2 includes the following libraries: * Alive2 IR * Symbolic executor * LLVM → Alive2 IR converter * Refinement check (aka optimization verifier) * SMT abstraction layer
Included tools:
* Alive drop-in replacement
* Translation validation plugins for clang and LLVM's opt
* Standalone translation validation tool: alive-tv (online)
* Clang drop-in replacement with translation validation (alivecc and
alive++)
* An LLVM IR interpreter that is UB precise (alive-exec)
For a technical introduction to Alive2, please see our paper from PLDI 2021.
Alive2 does not support inter-procedural transformations. Alive2 may produce spurious counterexamples if run with such passes.
We thank the continuous support of all of our sponsors! Alive2 wouldn't be possible without their support.
If your company has benefitted from Alive2 (including having a less buggy LLVM), please consider sponsoring our research lab.
To build Alive2 you need recent versions of: * cmake * gcc/clang * re2c * Z3 * LLVM (optional) * hiredis (optional, needed for caching)
git clone git@github.com:AliveToolkit/alive2.git
cd alive2
mkdir build
cd build
cmake -GNinja -DCMAKE_BUILD_TYPE=Release ..
ninja
If CMake cannot find the Z3 include directory (or finds the wrong one) pass
the -DZ3_INCLUDE_DIR=/path/to/z3/include and -DZ3_LIBRARIES=/path/to/z3/lib/libz3.so arguments to CMake.
Alive2's opt and clang translation validation requires a build of LLVM with
RTTI and exceptions turned on. The latest version of Alive2 is always intended
to be built against the latest version of LLVM, using the main branch from
the LLVM repo on Github.
LLVM can be built in the following way.
* You may prefer to add -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ to the CMake step if your default compiler is gcc.
* Explicitly setting the target may not be necessary.
* BUILD_SHARED_LIBS may not be necessary, and for LLVM forks not normally
built with the option, may interfere with CMake files’ use of USEDLIBS and
LLVMLIBS, and perhaps dd_llvm_target.
* To build with Xcode rather than Ninja, replace -GNinja with -GXcode in
the cmake step below, and append -DLLVM_MAIN_SRC_DIR=~/llvm/llvm.
* It may be necessary to disable warnings for “Implicit Conversion to 32 Bit
Type” in the project build settings.
* Xcode may place tv.dylib in a different location; a symbolic link from the
actual location to that in the resultant error message may help.
cd ~/llvm
mkdir build
cd build
cmake -GNinja -DLLVM_ENABLE_RTTI=ON -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DLLVM_ENABLE_ASSERTIONS=ON -DLLVM_ENABLE_PROJECTS="llvm;clang" ../llvm
ninja
Alive2 should then be configured and built as follows:
cd ~/alive2/build
cmake -GNinja -DCMAKE_PREFIX_PATH=~/llvm/build -DBUILD_TV=1 -DCMAKE_BUILD_TYPE=Release ..
ninja
Translation validation of one or more LLVM passes transforming an IR file:
~/alive/build/alive-tv -passes=instcombine foo.ll
Or using the opt wrapper:
~/alive2/build/opt-alive-test.sh -passes=instcombine foo.ll
Translation validation of a single LLVM unit test, using lit:
~/llvm/build/bin/llvm-lit -vv -Dopt=~/alive2/build/opt-alive.sh ~/llvm/llvm/test/Transforms/InstCombine/canonicalize-constant-low-bit-mask-and-icmp-sge-to-icmp-sle.ll
The output should be:
-- Testing: 1 tests, 1 threads --
PASS: LLVM :: Transforms/InstCombine/canonicalize-constant-low-bit-mask-and-icmp-sge-to-icmp-sle.ll (1 of 1)
Testing Time: 0.11s
Expected Passes : 1
To run translation validation on all the LLVM unit tests for IR-level transformations:
~/llvm/build/bin/llvm-lit -s -Dopt=~/alive2/build/opt-alive.sh ~/llvm/llvm/test/Transforms
We run this command on the main LLVM branch each day, and keep track of the results here. To detect unsound transformations in a local run:
fgrep -r "(unsound)" ~/alive2/build/logs/
This plugin tries to validate every IR-level transformation performed by LLVM. Invoke the plugin like this:
clang -O3 ~/llvm/clang/test/C/C99/n505.c -S -emit-llvm \
-fpass-plugin=~/alive2/build/tv/tv.so \
-Xclang -load -Xclang ~/alive2/build/tv/tv.so
Or, more conveniently:
~/alive2/build/alivecc -O3 -c ~/llvm/clang/test/C/C99/n505.c
~/alive2/build/alive++ -O3 -c ~/llvm/clang/test/Analysis/aggrinit-cfg-output.cpp
The Clang plugin can optionally use multiple cores. To enable parallel
translation validation, add the -mllvm -tv-parallel=XXX command line
options to Clang, where XXX is one of two parallelism managers
supported by Alive2. The first (XXX=fifo) uses alive-jobserver: for
details about how to use this program, please consult its help output
by running it without any command line arguments. The second
parallelism manager (XXX=unrestricted) does not restrict parallelism
at all, but rather calls fork() freely. This is mainly intended for
developer use; it tends to use a lot of RAM.
Use the -mllvm -tv-report-dir=dir to tell Alive2 to place its output
files into a specific directory.
The Clang plugin's output can be voluminous. To help control this, it
supports an option to reduce the amount of output (-mllvm
-tv-quiet).
Our goal is for the alivecc and alive++ compiler drivers to be
drop-in replacements for clang and clang++. So, for example, they
try to detect when they are being invoked as assemblers or linkers, in
which case they do not load the Alive2 plugin. This means that some
projects cannot be built if you manually specify command line options
to Alive2, for example using -DCMAKE_C_FLAGS=.... Instead, you can
tell alivecc and alive++ what to do using a collection of
environment variables that generally mirror the plugin's command line
interface. For example:
ALIVECC_PARALLEL_UNRESTRICTED=1
ALIVECC_PARALLEL_FIFO=1
ALIVECC_DISABLE_UNDEF_INPUT=1
ALIVECC_DISABLE_POISON_INPUT=1
ALIVECC_SMT_TO=timeout in milliseconds
ALIVECC_SUBPROCESS_TIMEOUT=timeout in seconds
ALIVECC_OVERWRITE_REPORTS=1
ALIVECC_REPORT_DIR=dir
If validating the program takes a long time, you can batch optimizations to
verify.
Please set ALIVECC_BATCH_OPTS=1 and run alivecc/alive++.
This tool has two modes.
In the first mode, specify either a source (original) and target (optimized) IR
file, or a single file containing a function called “src” and also a function
called “tgt”. For example, let’s prove that removing nsw is correct for
addition:
~/alive2/build/alive-tv src.ll tgt.ll
----------------------------------------
define i32 @f(i32 %a, i32 %b) {
%add = add nsw i32 %b, %a
ret i32 %add
}
=>
define i32 @f(i32 %a, i32 %b) {
%add = add i32 %b, %a
ret i32 %add
}
Transformation seems to be correct!
Flipping the inputs yields a counterexample, since it's not correct, in general,
to add nsw.
If you are not interested in counterexamples using undef, you can use the
command-line argument -disable-undef-input.
In the second mode, specify a single unoptimized IR file. alive-tv will optimize it using an optimization pipeline similar to -O2, but without any interprocedural passes, and then attempt to validate the translation.
For example, as of February 6 2020, the release/10.x branch contains
an optimizer bug that can be triggered as follows:
cat foo.ll
define i3 @foo(i3) {
%x1 = sub i3 0, %0
%x2 = icmp ne i3 %0, 0
%x3 = zext i1 %x2 to i3
%x4 = lshr i3 %x1, %x3
%x5 = lshr i3 %x4, %x3
ret i3 %x5
}
~/alive2/build/alive-tv foo.ll
----------------------------------------
define i3 @foo(i3 %0) {
%x1 = sub i3 0, %0
%x2 = icmp ne i3 %0, 0
%x3 = zext i1 %x2 to i3
%x4 = lshr i3 %x1, %x3
%x5 = lshr i3 %x4, %x3
ret i3 %x5
}
=>
define i3 @foo(i3 %0) {
%x1 = sub i3 0, %0
ret i3 %x1
}
Transformation doesn't verify!
ERROR: Value mismatch
Example:
i3 %0 = #x5 (5, -3)
Source:
i3 %x1 = #x3 (3)
i1 %x2 = #x1 (1)
i3 %x3 = #x1 (1)
i3 %x4 = #x1 (1)
i3 %x5 = #x0 (0)
Target:
i3 %x1 = #x3 (3)
Source value: #x0 (0)
Target value: #x3 (3)
Summary:
0 correct transformations
1 incorrect transformations
0 errors
Please keep in mind that you do not have to compile Alive2 in order to try out alive-tv; it is available online: https://alive2.llvm.org/ce/
This tool uses Alive2 as an interpreter for an LLVM function. It is currently highly experimental and has many restrictions. For example, the function cannot take inputs, cannot use memory, cannot depend on undefined behaviors, and cannot include loops that execute too many iterations.
The alive-tv tool and the Alive2 translation validation opt plugin support using an external Redis server to avoid performing redundant queries. This feature is not intended for general use, but rather to speed up certain systematic testing workloads that perform a lot of repeated work. When it hits a repeated refinement check, it prints "Skipping repeated query" instead of performing the query.
If you want to use this functionality, you will need to manually start and stop, as appropriate, a Redis server instance on localhost. Alive2 should be the only user of this server.
opt option
--print-after-all appended. (You may also append other opt options, such
as other optimizations.) E.g.:~/llvm/build/bin/llvm-lit -vva "-Dopt=~/alive2/build/opt-alive.sh --print-after-all" ~/llvm/llvm/test/Transforms/InstCombine/insert-const-shuf.ll
-allow-incomplete-ir flag may make copying declarations and metadata
unnecessary.)
The Alive2 Compiler Explorer instance will run automatically;
to check with the standalone alive-tv, see its instructions above.
Without a second version of the function to compare, Alive2 just runs the
-O2 optimizations;
if it reports unsoundness, your fork’s optimizations are not to blame.logs directory out of the way before each run. After each run, copy
the relevant logs to a separate destination directory. (Systems with a non-GNU
version of cp will need to use coreutils’ gcp instead.)fgrep --files-with-matches --recursive "(unsound)" ~/alive2/build/logs/ | xargs cp -p --target-directory=<Destination>
jdupes --print-unique. /opt/, if these are not set properly.$ claude mcp add alive2 \
-- python -m otcore.mcp_server <graph>