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Linbin Yu 1d7627955b Add instructions for iOS test (#79100) 
as title

Pull Request resolved: https://github.com/pytorch/pytorch/pull/79100
Approved by: https://github.com/atalman
2022-06-10 16:31:30 +00:00
..
benchmark [CoreML][OSS] Add Simulator tests (#65076) 2021-09-23 14:57:01 -07:00
custom_build Revert D30279364: [codemod][lint][fbcode/c*] Enable BLACK by default 2021-08-12 11:45:01 -07:00
fastlane [iOS][CI] Update dev certs (#66004) 2021-10-01 09:38:49 -07:00
models remove unneeded overload for nansum 2022-04-27 16:02:54 +00:00
TestApp [AutoAccept][Codemod][FBSourceClangFormatLinter] Daily arc lint --take CLANGFORMAT 2022-03-12 11:06:52 +00:00
TestApp.xcodeproj [iOS][OSS][BE] Add Simulator tests for full JIT (#64851) 2021-09-13 18:16:08 -07:00
TestAppTests Add detailed error message for iOS test (#79140) 2022-06-08 21:07:08 +00:00
.clang-format
.gitignore
AppleWWDRCAG3.cer [iOS][CI] Update dev certs (#66004) 2021-10-01 09:38:49 -07:00
Gemfile
Gemfile.lock Bump addressable from 2.7.0 to 2.8.0 in /ios/TestApp (#61573) 2021-07-13 14:30:33 -07:00
METADATA.bzl Add all bzl files per D36874458 2022-06-06 09:40:19 -07:00
README.md Add instructions for iOS test (#79100) 2022-06-10 16:31:30 +00:00

README.md

TestApp

The TestApp is currently being used as a dummy app by Circle CI for nightly jobs. The challenge comes when testing the arm64 build as we don't have a way to code-sign our TestApp. This is where Fastlane came to rescue. Fastlane is a trendy automation tool for building and managing iOS applications. It also works seamlessly with Circle CI. We are going to leverage the import_certificate action, which can install developer certificates on CI machines. See Fastfile for more details.

For simulator build, we run unit tests as the last step of our CI workflow. Those unit tests can also be run manually via the fastlane scan command.

Run Simulator Test Locally

Follow these steps if you want to run the test locally.

  1. Checkout PyTorch repo including all submodules

  2. Build PyTorch for ios

USE_COREML_DELEGATE=1 IOS_PLATFORM=SIMULATOR ./scripts/build_ios.sh
  1. Generate on-the-fly test models
python test/mobile/model_test/gen_test_model.py ios-test

You need to install regular PyTorch on your local machine to run this script. Check https://github.com/pytorch/pytorch/tree/master/test/mobile/model_test#diagnose-failed-test to learn more.

  1. Create XCode project (for lite interpreter)
cd ios/TestApp/benchmark
ruby setup.rb --lite 1
  1. Open the generated TestApp/TestApp.xcodeproj in XCode and run simulator test.

Re-generate All Test Models

  1. Make sure PyTorch (not PyTorch for iOS) is installed See https://pytorch.org/get-started/locally/

  2. Re-generate models for operator test

python test/mobile/model_test/gen_test_model.py ios
python test/mobile/model_test/gen_test_model.py ios-test
  1. Re-generate Core ML model
cd ios/TestApp/benchmark; python coreml_backend.py

Debug Test Failures

Make sure all models are generated. See https://github.com/pytorch/pytorch/tree/master/test/mobile/model_test to learn more.

There's no debug information in simulator test (project TestAppTests). You can copy the failed test code to TestApp/TestApp/ViewController.mm and debug in the main TestApp.