* create npm packaging pipeline
* fix indentations
* Update npm-packaging-pipeline.yml for Azure Pipelines
* Update npm-packaging-pipeline.yml for Azure Pipelines
* Update npm-packaging-pipeline.yml for Azure Pipelines
* react-native-ci as a template
* fix typos
* fix template paths
* add a depencendy
* change a stage name
* set different artifact name for each package
* fix typo
* Update npm-packaging-pipeline.yml for Azure Pipelines
Set a build Id for node npm package as a parameter
* Update npm-packaging-pipeline.yml for Azure Pipelines
Set a build Id for node npm package as a parameter
* Update npm-packaging-pipeline.yml for Azure Pipelines
* add c-api test for package
* fix bug for running c-api test for package
* refine run application script
* remove redundant code
* include CUDA test
* Remove testing CUDA EP temporarily
* fix bug
* Code refactor
* try to fix YAML bug
* try to fix YAML bug
* try to fix YAML bug
* fix bug for multiple directories in Pipelines
* fix bug
* add comments and fix bug
* Update c-api-noopenmp-packaging-pipelines.yml
* Remove failOnStandardError flag in Pipelines
* Add android package build settings for full build
Co-authored-by: gwang0000 <62914304+gwang0000@users.noreply.github.com>
Co-authored-by: Scott McKay <skottmckay@gmail.com>
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
* skip browserstack test at release pipeline
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* pool name as a parameter to run at lotus
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* Update web-ci-pipeline.yml for Azure Pipelines
* create a packaging pipeline for web
* Update web-packaging-pipeline.yml for Azure Pipelines
* make web-ci-pipeline as a template
* make web-ci-pipeline as a template
* make web-ci-pipeline as a template
* make web-ci-pipeline as a template
* change a paramter name checking a pipeline
* make a pool name changable for react native pipeline
* disable code sign validation for react native
* fix react native package.json publish
* fix indentation
* remove unnecessary comment
* test onnxruntime-common package publish
* ts and js files use lf as eol for windows
* use Linux style of ending line break
* change newLine at only tsconfig.json
* restore a commented code
* fix git restore directory for npm packaging
* fix a typo
* force eol to lf on windows for js directory in CI
* Pipeline for ONNX Runtime react native
* Fix a test failure
* test with custom built binaries
* add onnxruntime-common package back
* don't bob build when bootstrap
* revise Android test
* rename example to e2e
* remove onnxruntime packages from package.json
* remove release-it package
* upgrade gradle version to the same as CI
* add a pipeline for react native
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* android and ios mobile build for react native e2e
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* use android aar package template
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* use android aar package template
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* publish ios test results
* add e2e tests and publish a npm package
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* remove aar from npm package
* wait for view displayed
* change a waiting logic
* increase wait time for app launching
* give more time to launch an app
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* disable metro server on testing
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* test ios simulator launching
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* fix iOS e2e test
* use a publishing version of npm packages
* make pretty
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* make only one onnxruntime-common package after packaging
* make a powershell script of packaging universal
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Add a warning for file changes during a test
* clean up
* fix lint errors
* fix js npm packaging
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* Update mac-react-native-ci-pipeline.yml for Azure Pipelines
* resolve comments
* fix a typo
* update base image from 11.4.0 to 11.4.2
* update Linux TRT GPU pipeline to TRT 8.2
* update onnx-tensorrt to 8.2-GA
* disable failing TensorRT 8.2 tests.
* update pad test.
* fix
* update win trt ci pipeline to trt 8.2
* test run with cuda 11.4 and cudnn 8.2
* increase timeout
* revert
* revert
* update packaging pipelines to use trt 8.2
* fix typo
* update trt gpu perf pipeline to trt 8.2
* increase timeout
* delete deprecated ci-perf-pipeline.yml
* bump timeout
* adjust timeout packaging
* update to torch 1.10
* update torchvision version
* update torchtext version
* remove deprecated option enable_onnx_checker
* add unit test to test gradient of GatherElements
* add ORTMODULE_ONNX_OPSET_VERSION in a docker file
- Only set them as targets for the ORT nuget package
- Use OrtPackageId as the condition for inclusion, if installed
- need to do the nuget restore via msbuild so that this property is set correctly
- Add desktop-only version of the C# sln as there is no way to exclude the mobile specific csproj's from an sln
- use this when applicable if someone is running build.py with the `--build_nuget` flag
Other
- remove attempt to include symbols in the nuget package as nuget doesn't support symbols in native packages
- update build.py to use `nuget` and not a windows specific path and filename for a linux build with `--build_nuget`
* add use_tensorrt build option
* Add use_tensorrt to running tests
* add use_tensorrt for Windows
* make trt ep to skip backend test
* make trt ep to skip backend test
* Fix bug
* Add/Modify description
* modify for debug
* swtich pool to test
* modify to debug
* modify to debug
* add vobersity
* refine the code
* refine the code
* refine the code
* fix flake8 warning
* refine the code
* add pre_load check for trt as well as add cupti lib to cuda depedencies
* modify script to make trt build path the same as cuda
* show error message when user wants to run TensorRT but TensorRT is not installed in the env
* fix bug
* fix bug
* add trt lib for manylinux
* include cuda_dependencies for trt
* rewrite the condition to throw exception
* make code more compact
Add Xamarin support to the ORT nuget packages.
- Update C# code to support Xamarin builds for iOS and Android
- refactor some things to split out common code
- include iOS and Android ORT native shared library in native nuget package
* Force Windows AI Nuget pipeline to use 19041 Windows SDK as 22000 casues a downlevel regression by importing LoadLibraryW
* move into quotes
Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
* make work for both rocm 4.2 and rocm 4.3.1
* fix rocm 4.3.1 docker image reference
* fix CUDA_VERSION to ROCM_VERSION
* fix ReduceConsts conflict def
* add ifdef to miopen_common.h as well
* trailing ws
* install protobuf from source
* fix rm command in Dockerfile
* fix options on rm command
* fix cd into protobuf source directory
* try again
* remove strip step
* debug list the files
* ls on /usr
* more debug
* more debug
* adjust LD_LIBRARY_PATH
* try remove protobuf before ORT build
* Add onnxruntime_providers_shared.dll into gpu nuget package
* Modify for test
* Temporarily remove for test
* Modify for test
* Modify for test
* Test packging Windows combined GPU
* Test packging Windows combined GPU
* Test packging Windows combined GPU
* Test packging Windows combined GPU
* modify for test
* modify for test
* fix bug
* Modify for test
* Modify for test
* Modify for test
* Modify for test
* Modify for test
* Modify for test
* Modify for test
* Modify for test
* Prepare for PR
* Prepare for PR
* Code refactor
* Rename proper Artifact name
* Rename intermediate Artifact names
* Revert Artifact Names
* Rename Artifact Names
* Modify Artifact name
* Modify Artifact name
* Modify Artifact name
* Update Java package
* Update Java package
* fix bug to change artifact name
* Fix bug for the wrong file path
* Fix no fetching correct artifact and test
* temporarily modify for test
* undo the change for test
* Merge CPU/GPU nuget pipeline
* Include TensorRT EP libraries into existing GPU nuget package pipeline
* modify to use correct YAML
* Modify for test
* modify for test
* Add depedance
* Add depedance (cont.)
* modify for test
* Add create TensorRT nuget package
* modify for test
* modify for test
* Merge CPU/GPU nuget pipeline
* Include TensorRT EP libraries into existing GPU nuget package pipeline
* modify to use correct YAML
* Modify for test
* modify for test
* Add depedance
* Add depedance (cont.)
* modify for test
* Add create TensorRT nuget package
* modify for test
* fix merge bug
* code refactor
* code refactor
* modify for test
* modify for test
* modify for test
* modify for test
* modify for test
* modify for test
* cleanup
* modify for test
* fix bug
* modify for test
* refactor
* fix bug and test
* Modify for test
* Modify for test
* Modify for test
* Modify for test
* Prepare for PR
* Prepare for PR
* code refacotr from review
* Remove naming 'Microsoft.ML.OnnxRuntime.TensorRT' to avoid confusion
* Add linux TensorRT libraries
* Remove redundant variable in YMAL
* revert file
* undo revert file
* Modify regular expression so that it can capture the correct file
* Remove newline at end of file
* small fix
* Revert to CUDA11.1 on Windows
* Add unit tests for nuget package on Linux
Co-authored-by: Changming Sun <chasun@microsoft.com>
* initial update from 11.1 to 11.4
* change 11.4.1 to 11.4.0
* adjusting to match nvidia/cuda image tags
* adjusting to match nvidia/cuda image tags centos7
* correction to 11.4.0
* correction to 11.4.0
* update to cuda 11.4
* change training back to 11.1
* change training back to 11.1
* point to correct nvcr.io/nvidia/cuda 11.4.1 image
* change centos8 to centos7
* correct cudnn path
* Update linux-gpu-ci-pipeline.yml for Azure Pipelines
* Update c-api-noopenmp-packaging-pipelines.yml
* need to resolve centos images but remove space and change to 11.4
* Update linux-gpu-ci-pipeline.yml
* add cudnn to docker image
* bump devtoolset to 10
* revert cuda 11.4 change to setup_env_trt
* orttraining back to 11.1
* use nvcr.io
* Fix previous change back to cuda 11.1
* update cudnn path
* use cudnn image (revert if failure)
Merge CPU/GPU nuget pipeline. The old GPU nuget pipeline will be only for DML.
TODO: the result GPU package contains PDB files for some of the DLLs, but not all. It is due to the refactoring of CUDA EP to pluggable DLLs. At that time we forgot to copy the PDB files. However, I can't add them in now. Because currently the package is already 220MB large. If the missed PDB files were added, then it will be oversize. nuget.org doesn't accept >250MB packages.
1. Update SDLNativeRules from v2 to v3. The new one allows us setting excluded paths.
2. Update TSAUpload from v1 to v2. And add a config file ".gdn/.gdntsa" for it.
3. Fix some parentheses warnings
4. Update cmake to the latest.
5. Remove "--x86" build option from pipeline yaml files. Now we can auto-detect cpu architecture from python. So we don't need to ask user to specify it.
* first attempt share docker image across python and torch versons
* set dependency between jobs
* fix yaml grammer
* remove python version from first stage
* clean deepspeed directroy
* split into two images according torch version
* fix yaml syntax
* invalidate cache
* remove DS to prevent torch 1.9.0 upgrade
ORTModule requires two PyTorch CPP extensions that are currently JIT compiled. The runtime compilation can cause issues in some environments without all build requirements or in environments with multiple instances of ORTModule running in parallel
This PR creates a custom command to compile such extensions that must be manually executed before ORTModule is executed for the first time. When users try to use ORTModule before the extensions are compiled, an error with instructions are raised
PyTorch CPP Extensions for ORTModule can be compiled by running:
python -m onnxruntime.training.ortmodule.torch_cpp_extensions.install
Full build environment is needed for this
Switched the code to C++17. To build ONNX Runtime on old distros like CentOS 7, you need to install a newer GCC from additionary repos. If you build onnxruntime with the newer GCC, typically the result binary can't be distributed to other places because it depends on the new GCC's runtime libraries, something that the stock OS doesn't have. But on RHEL/CentOS, it can be better. We use Red Hat devtoolset 8/9/10 with CentOS7 building our code. The new library features(like std::filesystem) that not exists in the old C++ runtime will be statically linked into the applications with some restrictions:
1. GCC has dual ABI, but we can only use the old one. It means std::string is still copy-on-write and std::list::size() is still O(n). Also, if you build onnxruntime on CentOS 7 and link it with some binaries that were built on CentOS 8 or Ubuntu with the new ABI and export C++ symbols directly(instead of using a C API), the it won't work.
2. We still can't use std::optional. It is a limitation coming from macOS. We will solve it when we got macOS 11 build machines. It won't be too long.
3. Please avoid to use C++17 in CUDA files(*.cu). Also, the *.h files that they include(like core/framework/float16.h). This is Because CUDA 10.2 doesn't support C++17. You are welcome to use the new features in any *.cc files.
1. Remove some unused code and simplify tools/ci_build/github/linux/run_dockerbuild.sh.
2. Enable Nuget CUDA tests. The original design was we could leverage Directory.Build.props and let cmake generate the required properties(USE_CUDA/...) there. However, in nuget packaging pipeline we test the package on a different host that doesn't run cmake command and doesn't have the auto-generated Directory.Build.props file.
1. Fix training e2e pipeline. The failure was caused by my recent change #7632. The fix is adding "--cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=70" to the build parameters because the machines are with V100 GPUs.
2. Simplify Nuphar pipeline. It doesn't need to install a separated ONNX version(1.5.0)
3. Fix a problem that run_dockerbuild.sh ignored OS version parameter. Now because it starts to take effect, I also set python version to the system default one(3.8 for ubuntu 20.04)
1. Update manylinux build scripts. This will add [PEP600](https://www.python.org/dev/peps/pep-0600/)(manylinux2 tags) support. numpy has adopted this new feature, we should do the same. The old build script files were copied from https://github.com/pypa/manylinux, but they has been deleted and replaced in the upstream repo. The manylinux repo doesn't have a manylinux2014 branch anymore. So I'm removing the obsolete code, sync the files with the latest master.
2. Update GPU CUDA version from 11.0 to 11.1(after a discussion with PMs).
3. Delete tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda10_2. (Merged the content to tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11)
4. Modernize the cmake code of how to locate python devel files. It was suggested in https://github.com/onnx/onnx/pull/1631 .
5. Remove `onnxruntime_MSVC_STATIC_RUNTIME` and `onnxruntime_GCC_STATIC_CPP_RUNTIME` build options. Now cmake has builtin support for it. Starting from cmake 3.15, we can use `CMAKE_MSVC_RUNTIME_LIBRARY` cmake variable to choose which MSVC runtime library we want to use.
6. Update Ubuntu docker images that used in our CI build from Ubuntu 18.04 to Ubuntu 20.04.
7. Update GCC version in CUDA 11.1 pipelines from 8.x to 9.3.1
8. Split Linux GPU CI pipeline to two jobs: build the code on a CPU machine then run the tests on another GPU machines. In the past we didn't test our python packages. We only tested the pre-packed files. So we didn't catch the rpath issue in CI build.
9. Add a CentOS machine pool and test our Linux GPU build on real CentOS machines.
10. Rework ARM64 Linux GPU python packaging pipeline. Previously it uses cross-compiling therefore we must static link to C Runtime. But now have pluggable EP API and it doesn't support static link. So I changed to use qemu emulation instead. Now the build is 10x slower than before. But it is more extensible.
* first attempt rocm training wheel
* modifications needed to python packaging pipeline for Rocm 4.1
* changges to not conflict with cuda
missed stage1 changes
remove package push
add option r to getopt
try again without python install
try again without python install
try again without python install
split pipelines and add back push to remote storage
try on cuda gpu pool
try again
try again
try running without az subscription set
try again on original pipeline
change pool
passing AMD Rocm whl on AMD-GPU pool
split rocm pipeline from cuda pipeline
remove comments
* try adding Rocm tests as well
* try with tests in place
* fix trailing ws
* add training data
* try again as root for tests
* use python3
* typo
* try to map video, render group into container
* try again
* try again
* try to avoid yum error code
* make UID 1001
* try without yum downgrade
* define rocm_version=None
* remove CUDA related comments for Rocm Dockerfile
* Dont pin nightly torch torchvision torchtext versions as they expire (for now nightly is required for Rocm 4.1)
* missed requirements-rocm.txt from last commit
* fix whitespace
* working on re-organizing js code for ortweb
* remove dup files
* move folder
* fix common references
* fix common es5
* add webpack to common
* split interfact/impl
* use cjs for node
* add npmignore for common
* update sourcemap config for common
* update node
* adjust folder/path in CI and build
* update folder
* nit: readme
* add bundle for dev
* correct nodejs paths
* enable ORT_API_MANUAL_INIT
* set name for umd library
* correct name for commonjs export
* add priority into registerBackend()
* fix npm ci pwd
* update eslintrc
* revise code
* revert package-lock lockfileVersion 2->1
* update prebuild
* resolve comments
* update document
* revise eslint config
* update eslint for typescript rules
* revert changes by mistake in backend.ts
* add env
* resolve comments
1. Remove openmp related packaging pipelines and build jobs.
2. Set continueOnError to true for the TSAUpload tasks. Their service is unstable recently.
3. Update Ubuntu 16 docker images to Ubuntu 18, in prepare for getting C++17 support
4. Cherry-pick the changes in 1.7.1 to the master: updating CFLAGS/CXXFLAGS to strip out debug symbols
* rename pipelines
* resync and rename
* resync master
* rename package id
* remove OrtPackageId which is for nuget
Co-authored-by: Randy Shuai <rashuai@microsoft.com>
1. For previous openmp build, remove --use_openmp, so thread pool will become default;
2. For previous non-openmp build, add --use_openmp and rename the package to indicate the inclusion.
3. Add a mac build with openmp enabled.
* model building
* fix build
* winml adapter model building api
* model building
* make build
* make build again
* add model building with audio op
* inplace and inorder fft
* add ifft
* works!
* cleanup
* add comments
* switch to iterative rather than recursive and use parallelization
* batched parallelization
* fft->dft
* cleanup
* window functions
* add melweightmatrix op
* updates to make spectrogram test work
* push latest
* add onesided
* cleanup
* Clean up building apis and fix mel
* cleanup
* cleanup
* naive stft
* fix test output
* middle c complete
* 3 tones
* cleanup
* signal def new line
* Add save functionality
* Perf improvements, 10x improvement
* cleanup
* use bitreverse lookup table for performance
* implement constant initializers for tensors
* small changes
* add matmul tests
* merge issues
* support add attribute
* add tests for double data type windowfunctions and minor cleanup
* stft onesided/and not tests
* cleanup
* cleanup
* clean up
* cleanup
* remove threading attribute
* forward declare orttypeinfo
* warnings
* fwd declare
* fix warnings
* 1 more warning
* remove saving to e drive...
* cleanup and fix stft test
* add opset picker
* small additions
* add onnxruntime tests
* add signed/unsigned
* fix warning
* fix warning
* finish onnxruntime tests
* make windows namespace build succeed
* add experimental flag
* add experimental api into nuget package
* add experimental api build flag and add to windows ai nuget package
* turn experimental for tests
* add minimum opset version to new experimental domain
* api cleanup
* disable ms experimental ops test when --ms_experimental is not enabled
* add macro behind flag
* remove unused x
* pr feedback
Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
Add python 3.8/3.9 support for Windows GPU and Linux ARM64
Delete jemalloc from cgmanifest.json.
Add onnx node test to Nuphar pipeline.
Change $ANDROID_HOME/ndk-bundle to $ANDROID_NDK_HOME. The later one is more accurate.
Delete Java GPU packaging pipeline
Remove test data download step in Nuget Mac OS pipeline. Because these machines are out of control and out of our network, it's hard to make it reliable and the data secure.
Fix a doc problem in c-api-artifacts-package-and-publish-steps-windows.yml. It shouldn't copy C_API.md, because the file has been moved into a different branch.
Delete the CI build docker file for Ubuntu cuda 9.x and Ubuntu x86 32 bits
And, due to some internal restrictions, I need to rename some of the agent pools
Update gpu packaging pipelines to CUDA11
In the next release we will use CUDA 11. And our CUDA 11 build suddenly became broken because recently CentOS 7 posted an update of glibc. The version of glibc was changed from 2.17-317.el7 to 2.17-322.el7_9. But the newer one isn't compatible with CUDA 11. We have to downgrade it.
1. Merge Nuget CPU pipeline, Java CPU pipeline, C-API pipeline into a single one.
2. Enable compile warnings for cuda files(*.cu) on Windows.
3. Enable static code analyze for the Windows builds in these jobs. For example, this is our first time scanning the JNI code.
4. Fix some warnings in the training code.
5. Enable code sign for Java. Previously we forgot it.
6. Update TPN.txt to remove Jemalloc.
1. Update the ProtoSrc path. The old one is not used anymore.
2. Regenerate OnnxMl.cs
3. Delete some unused code in tools/ci_build/build.py
4. Avoid set intra_op_param.thread_pool_size in ModelTests in OpenMP build.
5. Fix a typo in the C API pipeline.
* build for .net5
* only reference cswinrt for .net5
* remove netstandard2.0 references
* upgrade language version
* net5
* remove extra comment closure
* add targetframework
* set target framework
* remove net*
* pep8 errors
* make test project build with .net windows SDK projection
* disable c# builds for non-x64 builds
* fix pep8 errors
* disable for store build
* fix tests
* remove cswinrt and sdk references from package
* bump cswinrt down to 1.0.1
* fix bin path
Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
Fix a typo in tools/ci_build/github/azure-pipelines/templates/get-docker-image-steps.yml.
Add logging to tools/ci_build/get_docker_image.py for easier debugging.
Update training Python packaging build to use get_docker_image.py.
Remove BUILD_EXTR_PAR docker build argument.
Update get_docker_image.py to check again for the image in the cache after building and before pushing to reduce the chance of a redundant push.
This PR adds infrastructure to automatically cache docker images used in CI builds in a container registry.
Currently, build images are pulled from a container registry for some builds and built every time for others. The container registry requires maintenance to keep the images up to date and building images every time wastes build agent resources.
With this change, a given build image can be looked up in a cache container registry and if present, pulled, and otherwise, built and pushed. The uniqueness of a build image is determined by a hash digest of the dockerfile, docker build context directory, and certain "docker build" options. This digest is part of the image tag in the cache container repository.
The cache container registry will need to be cleaned up periodically. This is not automated yet.
- Update docker image release build to use build commit.
- Use valid default in component governance detection step.
- Use smaller docker build context.
* Nuget store packaging
* Move DNNL workaround to EP
* Fix warning as error
* Disable store tests
* Skip store tests
* msbuild target
* Cross compile protoc in Store
* Disable DML in store
* Move store builds to CPU queue
* Copy uap10 to final nuget
* Fix pip8 error
* Remove extra dml copies
* Fix argparse
* pep8
* Forward IsStoreBuild
* Apply is_store_build to duplicate generate_nuspec
* runtimes
* Refactor uap10
* Store .NET
* uap
* PR feedback
* enable rejecting models based on onnx opset
* enable unreleased opsets in linux and mac CI
* test fixes and more updates
* enable unreleased opsets in CI builds
* enable released opsets in linux cis
* try fix windows ci yml
* yml fixes
* update yml
* yml updates post master merge
* review comments
* bug fix
1. Publish the image ACR, instead of building it every time for every PR
2. Make USE_MKLML and USE_OPENMP be able to co-exist. Currently both of them are enabled in our Linux CI build but indeed only one of them is taking effect.
3. Split nuphar and DNNL to separated pipelines.
4. Fix two warnings in onnxruntime/core/optimizer/matmul_scale_fusion.cc and onnxruntime/test/tvm/tvm_basic_test.cc.
5. Update the manylinux2010_x86_64 image to the latest.
1. Avoid building ONNX of every history ONNX versions in our CI, it is costly and easy to fail.
2. Run docker command without sudo. Previously the user is not in docker group, now Azure DevOps Service have added it in.
1. Increase job timeout, while we are investigating why the tests take much longer
2. Upgrade the linux docker image to manylinux2010, by request from Tianlei. (We had an offline discussion with Pranav and Tracy)
3. Remove the installation of "devtoolset-7" in the CUDA image. It was added for CUDA 10.0, it is not needed for CUDA 10.1. We have moved to CUDA 10.1.
Modify gradle build so artifactID has _gpu for GPU builds.
Pass USE_CUDA flag on CUDA build
Adjust publishing pipelines to extract POM from a correct path.
Co-Authored-By: @Craigacp
* try mac pipeline
* fix path separator
* copy prebuilds folder
* split esrp yaml for win/mac
* disable mac signing temporarily
* add linux
* fix indent
* add nodetool in linux
* add nodetool in win-ci-2019
* replace linux build by custom docker scripts
* use manylinux as node 12.16 not working on centos6
* try ubuntu
* loosen timeout for test case - multiple runs calls
