IDEA Ultimate contains an Async sampling profiler.
As of IDEA 2018.3 Async sampling profiler is still an experimental feature, so use Ctrl-Alt-Shift-/ on Linux,
Cmd-Alt-Shift-/ on macOS to activate it. Then start compilation in CLI with --no-daemon
and
-Porg.gradle.workers.max=1
flags (running Gradle task with the profiler doesn't seem to work properly) and attach
to the running process using "Run/Attach Profiler to Local Process" menu item.
Select "K2NativeKt" or "org.jetbrains.kotlin.cli.utilities.MainKt" process. On completion profiler will produce flame diagram which could be navigated with the mouse (click-drag moves, wheel scales). More RAM in IDE (>4G) could be helpful when analyzing longer runs. As Async is a sampling profiler, to get sensible coverage longer runs are important.
Unlike Async profiler in IDEA, YourKit can work as an exact profiler and provide complete coverage of all methods along with exact invocation counters.
Install the YourKit profiler for your platform from https://www.yourkit.com/java/profiler. Set AGENT variable to the JVMTI agent provided by YourKit, like
export AGENT=/Applications/YourKit-Java-Profiler-2018.04.app/Contents/Resources/bin/mac/libyjpagent.jnilib
To profile standard library compilation:
./gradlew -PstdLibJvmArgs="-agentpath:$AGENT=probe_disable=*,listen=all,tracing" dist
To profile platform libraries start build of proper target like this:
./gradlew -PplatformLibsJvmArgs="-agentpath:$AGENT=probe_disable=*,listen=all,tracing" ios_arm64PlatformLibs
To profile standalone code compilation use:
JAVA_OPTS="-agentpath:$AGENT=probe_disable=*,listen=all,tracing" ./dist/bin/konanc file.kt
Then attach to the desired application in YourKit GUI and use CPU tab to inspect CPU consuming methods.
Saving the trace may be needed for more analysis. Adjusting -Xmx
in $HOME/.yjp/ui.ini
could help
with the big traces.
To perform memory profiling follow the steps above, and after attachment to the running process use "Start Object Allocation Recording" button. See https://www.yourkit.com/docs/java/help/allocations.jsp for more details.
There are several gradle flags one can use for Konan build.
-
-Pbuild_flags passes flags to the compiler used to build stdlib
./gradlew -Pbuild_flags="--disable lower_inline --print_ir" stdlib
-
-Pshims compiles LLVM interface with tracing "shims". Allowing one to trace the LLVM calls from the compiler. Make sure to rebuild the project.
./gradlew -Pshims=true dist
- KONAN_DATA_DIR changes
.konan
local data directory location ($HOME/.konan
by default). Works both with cli compiler and gradle plugin
To run blackbox compiler tests from JVM Kotlin use (takes time):
./gradlew run_external
To update the blackbox compiler tests set TeamCity build number in gradle.properties
:
testKotlinVersion=<build number>
-
-Pfilter allows one to choose test files to run.
./gradlew -Pfilter=overflowLong.kt run_external
-
-Pprefix allows one to choose external test directories to run. Only tests from directories with given prefix will be executed.
./gradlew -Pprefix=build_external_compiler_codegen_box_cast run_external
-
-Ptest_flags passes flags to the compiler used to compile tests
./gradlew -Ptest_flags="--time" backend.native:tests:array0
-
-Ptest_target specifies cross target for a test run.
./gradlew -Ptest_target=raspberrypi backend.native:tests:array0
-
-Premote=user@host sets remote test execution login/hostname. Good for cross compiled tests.
./gradlew [email protected] backend.native:tests:run
-
-Ptest_verbose enables printing compiler args and other helpful information during a test execution.
./gradlew -Ptest_verbose :backend.native:tests:mpp_optional_expectation
-
-Ptest_two_stage enables two-stage compilation of tests. If two-stage compilation is enabled, test sources are compiled into a klibrary and then a final native binary is produced from this klibrary using the -Xinclude compiler flag.
./gradlew -Ptest_two_stage backend.native:tests:array0
-
-Ptest_with_cache_kind=static|dynamic enables using caches during testing.
To run runtime unit tests on the host machine for both mimalloc and the standard allocator:
./gradlew hostRuntimeTests
To run tests for only one of these two allocators, run hostStdAllocRuntimeTests
or hostMimallocRuntimeTests
.
We use Google Test to execute the runtime unit tests. The build automatically fetches
the specified Google Test revision to runtime/googletest
. It is possible to manually modify the downloaded GTest sources for debug
purposes; the build will not overwrite them by default.
To forcibly redownload Google Test when running tests, use the corresponding project property:
./gradlew hostRuntimeTests -Prefresh-gtest
or run the downloadGTest
task directly with the --refresh
CLI key:
./gradlew downloadGTest --refresh
To use a local GTest copy instead of the downloaded one, add the following line to runtime/build.gradle.kts
:
googletest.useLocalSources("<path to local GTest sources>")
Firstly, it's necessary to build analyzer tool to have opportunity to compare different performance results:
cd tools/benchmarksAnalyzer
../../gradlew build
To measure performance of Kotlin/Native compiler on existing benchmarks:
cd performance
../gradlew :konanRun
NOTE: konanRun task needs built compiler and libs. To test against working tree make sure to run
./gradlew dist distPlatformLibs
before konanRun
konanRun task can be run separately for one/several benchmark applications:
cd performance
../gradlew :cinterop:konanRun
konanRun task has parameter filter
which allows to run only some subset of benchmarks:
cd performance
../gradlew :cinterop:konanRun --filter=struct,macros
Or you can use filterRegex
if you want to specify the filter as regexes:
cd performance
../gradlew :ring:konanRun --filterRegex=String.*,Loop.*
There us also verbose mode to follow progress of running benchmarks
cd performance
../gradlew :cinterop:konanRun --verbose
> Task :performance:cinterop:konanRun
[DEBUG] Warm up iterations for benchmark macros
[DEBUG] Running benchmark macros
...
There are also tasks for running benchmarks on JVM (pay attention, some benchmarks e.g. cinterop benchmarks can't be run on JVM)
cd performance
../gradlew :jvmRun
Files with results of benchmarks run are saved in performance/build/nativeReport.json
for konanRun and jvmReport.json
for jvmRun.
You can change the output filename by setting the nativeJson
property for konanRun and jvmJson
for jvmRun:
cd performance
../gradlew :ring:konanRun --filter=String.*,Loop.* -PnativeJson=stringsAndLoops.json
You can use the compilerArgs
property to pass flags to the compiler used to compile the benchmarks:
cd performance
../gradlew :konanRun -PcompilerArgs="--time -g"
To compare different results run benchmarksAnalyzer tool:
cd tools/benchmarksAnalyzer/build/bin/<target>/benchmarksAnalyzerReleaseExecutable/
./benchmarksAnalyzer.kexe <file1> <file2>
Tool has several renders which allow produce output report in different forms (text, html, etc.). To set up render use flag --render/-r
.
Output can be redirected to file with flag --output/-o
.
To get detailed information about supported options, please use --help/-h
.
Analyzer tool can compare both local files and files placed on Artifactory/TeamCity.
File description stored on Artifactory
artifactory:<build number>:<target (Linux|Windows10|MacOSX)>:<filename>
Example
artifactory:1.2-dev-7942:Windows10:nativeReport.json
File description stored on TeamCity
teamcity:<build locator>:<filename>
Example
teamcity:id:42491947:nativeReport.json
Pay attention, user and password information(with flag -u <username>:<password>
) should be provided to get data from TeamCity.
If you have a fix spanning both Kotlin and Kotlin/native workspaces you need to be able to test Kotlin/Native composite build. Here's how to do it manually:
Find the version of Kotlin the current native is guaranteed to build with.
The version is specified in kotlin-native/gradle.properties
. For example:
kotlinVersion=1.3.70-dev-1526
Checkout kotlin
workspace to tag build-1.3.70-dev-1526
. Make sure its path ends with .../kotlin
.
Otherwise issues will arise.
Direct kotlin-native
build to the kotlin with kotlinProjectPath
in native's gradle.properties
.
Now you have the kotlin + kotlin-native combination that is known to build. Apply your fix on top of both workspaces and run
$ ./gradlew dist
in kotlin-native
to check the buildability.
For a quick check use:
$ ./gradlew sanity 2>&1 | tee log
For a longer, more thorough testing build the complete build. Make sure you are running it on a macOS.
Have a complete build:
$ ./gradlew bundle # includes dist as its part
then run two test sets:
$ ./gradlew backend.native:tests:run 2>&1 | tee log
$ ./gradlew backend.native:tests:runExternal -Ptest_two_stage=true 2>&1 | tee log
See BUILDING_LLVM.md if you want to build and use your own LLVM distribution instead of provided one.
llvmHome.<HOST_NAME>
variable in <distribution_location>/konan/konan.properties
controls
which LLVM distribution Kotlin/Native will use in its compilation pipeline.
You can replace its value with either $llvm.<HOST_NAME>.{dev, user}
to use one of predefined distributions
or pass an absolute to your own distribution.
Don't forget to set llvmVersion.<HOST_NAME>
to the version of your LLVM distribution.
Assuming LLVM distribution is installed at /usr
path, one can specify a path to it
with the -Xoverride-konan-properties
option:
konanc main.kt -Xoverride-konan-properties=llvmHome.linux_x64=/usr
Following compiler phases control different parts of LLVM pipeline:
LinkBitcodeDependencies
. Linkage of produced bitcode with runtime and some other dependencies.BitcodeOptimization
. Running LLVM optimization pipeline.ObjectFiles
. Compilation of bitcode with Clang.
For example, pass -Xdisable-phases=BitcodeOptimization
to skip optimization pipeline.
Note that disabling LinkBitcodeDependencies
or ObjectFiles
will break compilation pipeline.
Compiler takes options for Clang from konan.properties file
by combining clangFlags.<TARGET>
and clang<Noopt/Opt/Debug>Flags.<TARGET>
properties.
Use -Xoverride-konan-properties=<key_1=value_1; ...;key_n=value_n>
flag to override default values.
Please note:
- Kotlin Native passes bitcode files to Clang instead of C or C++, so many flags won't work.
-cc1 -emit-obj
should be passed because Kotlin/Native calls linker by itself.- Use
clang -cc1 -help
to see a list of available options.
Another useful compiler option is -Xtemporary-files-dir=<PATH>
which allows
to specify a directory for intermediate compiler artifacts like bitcode and object files.
konanc main.kt -produce bitcode -o bitcode.bc
konanc main.kt -Xtemporary-files-dir=<PATH> -o <OUTPUT_NAME>
<PATH>/<OUTPUT_NAME>.kt.bc
will contain bitcode after LLVM optimization pipeline.
CLANG_FLAGS="clangFlags.macos_x64=-cc1 -emit-obj;clangNooptFlags.macos_x64=-O2"
konanc main.kt -Xdisable-phases=BitcodeOptimization -Xoverride-konan-properties="$CLANG_FLAGS"
Kotlin/Native compiler (including cinterop
tool) has machinery that manages LLVM, Clang and native SDKs for supported targets
and runs bundled Clang with proper arguments.
To utilize this machinery, use $dist/bin/run_konan clang $tool $target $arguments
, e.g.
$dist/bin/run_konan clang clang ios_arm64 1.c
will print and run the following command:
~/.konan/dependencies/clang-llvm-apple-8.0.0-darwin-macos/bin/clang \
-B/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin \
-fno-stack-protector -stdlib=libc++ -arch arm64 \
-isysroot /Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS13.5.sdk \
-miphoneos-version-min=9.0 1.c
The similar helper is available for LLVM tools, $dist/bin/run_konan llvm $tool $arguments
.