This quickstart guide is designed for LLVM developers who are primarily interested in using LNT to test compilers using the LLVM test-suite.
The first thing to do is to checkout install the LNT software itself. The following steps should suffice on any modern Unix variant:
virtualenv, if necessary:
sudo easy_install virtualenv
virtualenvis a standard Python tool for allowing the installation of Python applications into their own sandboxes, or virtual environments.
Create a new virtual environment for the LNT application:
This will create a new virtual environment at
Checkout the LNT sources:
svn co http://llvm.org/svn/llvm-project/lnt/trunk ~/lnt
Install LNT into the virtual environment:
~/mysandbox/bin/python ~/lnt/setup.py develop
We recommend using
developinstead of install for local use, so that any changes to the LNT sources are immediately propagated to your installation. If you are running a production install or care a lot about stability, you can use
installwhich will copy in the sources and you will need to explicitly re-install when you wish to update the LNT application.
To execute the LLVM test-suite using LNT you use the
command. The information below should be enough to get you started, but see the
Test Producers section for more complete documentation.
Checkout the LLVM test-suite, if you haven’t already:
svn co http://llvm.org/svn/llvm-project/test-suite/trunk ~/llvm-test-suite
You should always keep the test-suite directory itself clean (that is, never do a configure inside your test suite). Make sure not to check it out into the LLVM projects directory, as LLVM’s configure/make build will then want to automatically configure it for you.
lnt runtest nttest producer, point it at the test suite and the compiler you want to test:
lnt runtest nt \ --sandbox SANDBOX \ --cc ~/llvm.obj/Release/bin/clang \ --test-suite ~/llvm-test-suite
SANDBOXvalue is a path to where the test suite build products and results will be stored (inside a timestamped directory, by default).
lnt runtest nt will show the passes and failures after doing a
run, but if you are interested in viewing the result data in more detail you
should install a local LNT instance to submit the results to.
You can create a local LNT instance with, e.g.:
lnt create ~/myperfdb
This will create an LNT instance at
~/myperfdb which includes the
configuration of the LNT application and a SQLite database for storing the
Once you have a local instance, you can either submit results directly with:
lnt import --commit=1 ~/myperfdb SANDBOX/test-<stamp>/report.json
or as part of a run with:
lnt runtest --submit ~/myperfdb nt ... arguments ...
Once you have submitted results into a database, you can run the LNT web UI with:
lnt runserver ~/myperfdb
which runs the server on
http://localhost:8000 by default.
In the future, LNT will grow a robust set of command line tools to allow investigation of performance results without having to use the web UI.