pytorch

92b9de14 - Test application for profiling, CMake params for debug symbols (#28406)

Test application for profiling, CMake params for debug symbols (#28406) Summary: Reason: To have one-step build for test android application based on the current code state that is ready for profiling with simpleperf, systrace etc. to profile performance inside the application. ## Parameters to control debug symbols stripping Introducing /CMakeLists parameter `ANDROID_DEBUG_SYMBOLS` to be able not to strip symbols for pytorch (not add linker flag `-s`) which is checked in `scripts/build_android.sh` On gradle side stripping happens by default, and to prevent it we have to specify ``` android { packagingOptions { doNotStrip "**/*.so" } } ``` which is now controlled by new gradle property `nativeLibsDoNotStrip ` ## Test_App `android/test_app` - android app with one MainActivity that does inference in cycle `android/build_test_app.sh` - script to build libtorch with debug symbols for specified android abis and adds `NDK_DEBUG=1` and `-PnativeLibsDoNotStrip=true` to keep all debug symbols for profiling. Script assembles all debug flavors: ``` └─ $ find . -type f -name *apk ./test_app/app/build/outputs/apk/mobilenetQuant/debug/test_app-mobilenetQuant-debug.apk ./test_app/app/build/outputs/apk/resnet/debug/test_app-resnet-debug.apk ``` ## Different build configurations Module for inference can be set in `android/test_app/app/build.gradle` as a BuildConfig parameters: ``` productFlavors { mobilenetQuant { dimension "model" applicationIdSuffix ".mobilenetQuant" buildConfigField ("String", "MODULE_ASSET_NAME", buildConfigProps('MODULE_ASSET_NAME_MOBILENET_QUANT')) addManifestPlaceholders([APP_NAME: "PyMobileNetQuant"]) buildConfigField ("String", "LOGCAT_TAG", "\"pytorch-mobilenet\"") } resnet { dimension "model" applicationIdSuffix ".resnet" buildConfigField ("String", "MODULE_ASSET_NAME", buildConfigProps('MODULE_ASSET_NAME_RESNET18')) addManifestPlaceholders([APP_NAME: "PyResnet"]) buildConfigField ("String", "LOGCAT_TAG", "\"pytorch-resnet\"") } ``` In that case we can setup several apps on the same device for comparison, to separate packages `applicationIdSuffix`: 'org.pytorch.testapp.mobilenetQuant' and different application names and logcat tags as `manifestPlaceholder` and another BuildConfig parameter: ``` ─ $ adb shell pm list packages | grep pytorch package:org.pytorch.testapp.mobilenetQuant package:org.pytorch.testapp.resnet ``` In future we can add another BuildConfig params e.g. single/multi threads and other configuration for profiling. At the moment 2 flavors - for resnet18 and for mobilenetQuantized which can be installed on connected device: ``` cd android ``` ``` gradle test_app:installMobilenetQuantDebug ``` ``` gradle test_app:installResnetDebug ``` ## Testing: ``` cd android sh build_test_app.sh adb install -r test_app/app/build/outputs/apk/mobilenetQuant/debug/test_app-mobilenetQuant-debug.apk ``` ``` cd $ANDROID_NDK python simpleperf/run_simpleperf_on_device.py record --app org.pytorch.testapp.mobilenetQuant -g --duration 10 -o /data/local/tmp/perf.data adb pull /data/local/tmp/perf.data python simpleperf/report_html.py ``` Simpleperf report has all symbols:  Pull Request resolved: https://github.com/pytorch/pytorch/pull/28406 Differential Revision: D18386622 Pulled By: IvanKobzarev fbshipit-source-id: 3a751192bbc4bc3c6d7f126b0b55086b4d586e7a