73f6601cfc
* Move memory heavy tests from `test_pytorch_onnx_onnxruntime.py` to `test_models_onnxruntime.py`. The former is run in parallel in CI, while the latter is not. A change is that the moved tests are now only covered in default opset export. * Refactor and create base class for tests that export model to ONNX and verify with ONNX Runtime. The new base class are parameterized with `opset_version` and `is_script`. Further work can be done to refactor existing test classes in `test_pytorch_onnx_onnxruntime.py`. See #75630 * Reduce unnecessarily large tensor size in `test_pytorch_onnx_onnxruntime.py` to further reduce memory usage and test time. After this PR, the running time for `test_pytorch_onnx_onnxruntime.py` is reduced from `1338.82s (0:22:18)` to `225.07s (0:03:45)`, benchmarked on 10900x with `-n 10`. Fixes #79179 Pull Request resolved: https://github.com/pytorch/pytorch/pull/79640 Approved by: https://github.com/justinchuby, https://github.com/garymm |
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| .. | ||
| appveyor | ||
| fbcode-dev-setup | ||
| jit | ||
| model_zoo | ||
| onnx | ||
| release | ||
| release_notes | ||
| add_apache_header.sh | ||
| apache_header.txt | ||
| apache_python.txt | ||
| buck_setup.sh | ||
| 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.