mirror of
https://github.com/zebrajr/pytorch.git
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ca374773b4
Summary: And add a new tool to update it in the future, which follows the policy of using "latest as of 18 months ago". This policy is meant to balance: * recent enough to increase the odds of being able to successfully export * old enough to increase the odds of exported model being runnable by different ONNX implementations Related changes: * test_models.py: explicitly fix opset_version to 9 rather than relying on default. Caffe2 doesn't support newer versions. * symbolic_helper.py: * Remove a misleading comment * Remove unnecessary check in `_set_opset_version` * Use a range to define `_onnx_stable_opsets` * test_pytorch_common.py: * Rename a variable from min -> max. I think it was a copy-paste error. * Make skip test messages more informative. * Remove unused `skipIfONNXShapeInference`. More on that below. * test_pytorch_onnx_onnxruntime.py: * Make all the `TestCase` classes explicitly specify opset version. * Make `test_unsupported_pad` respect `opset_version` by using `run_test` * Unrelated simplification: make it obvious that all tests run with `onnx_shape_inference=True`. AFAICT this was already the case. * There was one test that was entirely disabled (test_tolist) because it was asking to be skipped whenever `onnx_shape_inference=True`, but it was always True. I changed the model being tested so as to preserve the intended test coverage but still have the test actually pass. Pull Request resolved: https://github.com/pytorch/pytorch/pull/73898 Reviewed By: msaroufim Differential Revision: D35264615 Pulled By: malfet fbshipit-source-id: cda8fbdffe4cc8210d8d96e659e3a9adf1b5f1d2 (cherry picked from commit b5e639e88828d34442282d0b50c977e610a2ba3a) |
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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 | ||
| 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.