Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/62419 This diff adds support for cpu only kineto profiler on mobile. Thus enabling chrome trace generation on mobile. This bring cpp API for mobile profiling on part with Torchscript. This is done via: 1. Utilizating debug handle annotations in KinetoEvent. 2. Adding post processing capability, via callbacks, to KinetoThreadLocalState 3. Creating new RAII stype profiler, KinetoEdgeCPUProfiler, which can be used in surrounding scope of model execution. This will write chrome trace to the location specified in profiler constructor. Test Plan: MobileProfiler.ModuleHierarchy Imported from OSS Reviewed By: raziel Differential Revision: D29993660 fbshipit-source-id: 0b44f52f9e9c5f5aff81ebbd9273c254c3c03299 |
||
|---|---|---|
| .. | ||
| appveyor | ||
| fbcode-dev-setup | ||
| model_zoo | ||
| onnx | ||
| release | ||
| release_notes | ||
| add_apache_header.sh | ||
| apache_header.txt | ||
| apache_python.txt | ||
| build_android.sh | ||
| build_host_protoc.sh | ||
| build_ios.sh | ||
| build_local.sh | ||
| build_mobile.sh | ||
| build_pytorch_android.sh | ||
| build_raspbian.sh | ||
| build_tegra_x1.sh | ||
| build_tizen.sh | ||
| build_windows.bat | ||
| diagnose_protobuf.py | ||
| get_python_cmake_flags.py | ||
| proto.ps1 | ||
| read_conda_versions.sh | ||
| README.md | ||
| remove_apache_header.sh | ||
| temp.sh | ||
| xcode_build.rb | ||
This directory contains the useful tools.
build_android.sh
This script is to build PyTorch/Caffe2 library for Android. Take the following steps to start the build:
- set ANDROID_NDK to the location of ndk
export ANDROID_NDK=YOUR_NDK_PATH
- run build_android.sh
#in your PyTorch root directory
bash scripts/build_android.sh
If succeeded, the libraries and headers would be generated to build_android/install directory. You can then copy these files from build_android/install to your Android project for further usage.
You can also override the cmake flags via command line, e.g., following command will also compile the executable binary files:
bash scripts/build_android.sh -DBUILD_BINARY=ON
build_ios.sh
This script is to build PyTorch/Caffe2 library for iOS, and can only be performed on macOS. Take the following steps to start the build:
- Install Xcode from App Store, and configure "Command Line Tools" properly on Xcode.
- Install the dependencies:
brew install cmake automake libtool
- run build_ios.sh
#in your PyTorch root directory
bash scripts/build_ios.sh
If succeeded, the libraries and headers would be generated to build_ios/install directory. You can then copy these files to your Xcode project for further usage.