pytorch/scripts
neginraoof beb4309406 [ONNX] Reduce ONNX test time on CI (#33242)
Summary:
Among all ONNX tests, ONNXRuntime tests are taking the most time on CI (almost 60%).
This is because we are testing larger models (mainly torchvision RCNNs) for multiple onnx opsets.
I decided to divide tests between two jobs for older/newer opsets. This is now reducing the test time from 2h to around 1h10mins.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33242

Reviewed By: hl475

Differential Revision: D19866498

Pulled By: houseroad

fbshipit-source-id: 446c1fe659e85f5aef30efc5c4549144fcb5778c
2020-03-05 14:38:34 -08:00
..
appveyor
fbcode-dev-setup Fix typos (#30606) 2019-12-02 20:17:42 -08:00
model_zoo
onnx [ONNX] Reduce ONNX test time on CI (#33242) 2020-03-05 14:38:34 -08:00
add_apache_header.sh
apache_header.txt
apache_python.txt
build_android.sh custom build script (#30144) 2019-11-20 13:16:02 -08:00
build_host_protoc.sh
build_ios.sh [iOS] Add watchOS support (#33318) 2020-02-14 14:02:22 -08:00
build_local.sh Only set CCACHE_WRAPPER_PATH in the build scripts if it is not already passed in. 2019-11-01 18:39:12 -07:00
build_mobile.sh [pytorch][cmake] improve build mobile with host toolchain (#34187) 2020-03-04 11:43:16 -08:00
build_pytorch_android.sh
build_raspbian.sh
build_tegra_x1.sh
build_tizen.sh
build_windows.bat
diagnose_protobuf.py
get_clang_format.py [scripts] Add script to fetch clang-format binary from AWS S3 (#33644) 2020-02-25 10:47:03 -08:00
get_python_cmake_flags.py
proto.ps1
read_conda_versions.sh
README.md
remove_apache_header.sh
run_mobilelab.py
temp.sh
xcode_build.rb Mobile Backend: NHWC memory layout + XNNPACK integration. (#33722) 2020-02-24 21:58:56 -08:00

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.