mirror of
https://github.com/saymrwulf/onnxruntime.git
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Creating Nuget and Android packages for Training (#15712)
### Description This PR creates Nuget and Android for Training. ### Motivation and Context These packages are intended to be released in ORT 1.15 to enable On-Device Training Scenarios. ## Packaging Story for Learning On The Edge Release ### Nuget Packages: 1. New Native package -> **Microsoft.ML.OnnxRuntime.Training** (Native package will contain binaries for: win-x86, win-x64, win-arm, win-arm64, linux-x64, linux-arm64, android) 2. C# bindings will be added to existing package -> **Microsoft.ML.OnnxRuntime.Managed** ### Android Package published to Maven: 1. New package for training (full build) -> **onnxruntime-training-android-full-aar** ### Python Package published to PyPi: 1. Python bindings and offline tooling will be added to the existing ort training package -> **onnxruntime-training**
This commit is contained in:
Ashwini Khade
GitHub
parent
4c4f688a93
commit
0ffae8073b
19 changed files with 686 additions and 61 deletions
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@ -27,6 +27,12 @@ macro(get_mobile_api_headers _HEADERS)
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"${REPO_ROOT}/include/onnxruntime/core/session/onnxruntime_cxx_inline.h"
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)
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if (onnxruntime_ENABLE_TRAINING_APIS)
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list(APPEND ${_HEADERS} "${REPO_ROOT/orttraining/orttraining/training_api/include/onnxruntime_training_c_api.h}")
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list(APPEND ${_HEADERS} "${REPO_ROOT/orttraining/orttraining/training_api/include/onnxruntime_training_cxx_api.h}")
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list(APPEND ${_HEADERS} "${REPO_ROOT/orttraining/orttraining/training_api/include/onnxruntime_training_cxx_inline_api.h}")
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endif()
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# need to add header files for enabled EPs
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foreach(f ${ONNXRUNTIME_PROVIDER_NAMES})
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file(GLOB _provider_headers CONFIGURE_DEPENDS
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@ -1356,7 +1356,12 @@ if (NOT onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
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endif()
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# Training API Tests
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if (onnxruntime_ENABLE_TRAINING_APIS)
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# Disabling training_api_test_trainer. CXXOPT generates a ton of warnings because of which nuget pipeline is failing.
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# TODO(askhade): Fix the warnings.
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# This has no impact on the release as the release package and the pipeline, both do not use this.
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# This is used by devs for testing training apis.
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#if (onnxruntime_ENABLE_TRAINING_APIS)
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if (0)
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# Only files in the trainer and common folder will be compiled into test trainer.
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file(GLOB training_api_test_trainer_src
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"${ORTTRAINING_SOURCE_DIR}/test/training_api/common/*.cc"
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@ -33,6 +33,11 @@
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<XamarinTargets>xamarinios10;monoandroid11.0</XamarinTargets>
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</PropertyGroup>
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<PropertyGroup Condition="('$(OrtPackageId)' == 'Microsoft.ML.OnnxRuntime.Training') AND
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Exists('$(MSBuildExtensionsPath)\Xamarin\Android')">
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<XamarinTargetsForTraining>monoandroid11.0</XamarinTargetsForTraining>
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</PropertyGroup>
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<!-- only set the .net6 targets if we're building an ORT package.
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we can add .net6 support to other packages later as needed -->
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<PropertyGroup Condition="('$(OrtPackageId)' == 'Microsoft.ML.OnnxRuntime' OR
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@ -40,17 +45,21 @@
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<Net6Targets>net6.0;net6.0-android;net6.0-ios;net6.0-macos</Net6Targets>
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</PropertyGroup>
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<PropertyGroup Condition="('$(OrtPackageId)' == 'Microsoft.ML.OnnxRuntime.Training')">
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<Net6TargetsForTrainingPackage>net6.0;net6.0-android</Net6TargetsForTrainingPackage>
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</PropertyGroup>
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<PropertyGroup Condition="'$(SelectedTargets)'=='PreNet6'">
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<TargetFrameworks>$(BaseTargets);$(XamarinTargets)</TargetFrameworks>
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<TargetFrameworks>$(BaseTargets);$(XamarinTargets);$(XamarinTargetsForTraining)</TargetFrameworks>
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</PropertyGroup>
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<PropertyGroup Condition="'$(SelectedTargets)'=='Net6'">
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<TargetFrameworks>$(Net6Targets)</TargetFrameworks>
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<TargetFrameworks>$(Net6Targets);$(Net6TargetsForTrainingPackage)</TargetFrameworks>
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</PropertyGroup>
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<!-- nuget package creation -->
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<PropertyGroup Condition="'$(SelectedTargets)'=='All'">
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<TargetFrameworks>$(BaseTargets);$(XamarinTargets);$(Net6Targets)</TargetFrameworks>
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<TargetFrameworks>$(BaseTargets);$(XamarinTargets);$(XamarinTargetsForTraining);$(Net6Targets);$(Net6TargetsForTrainingPackage)</TargetFrameworks>
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</PropertyGroup>
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@ -226,6 +235,13 @@
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CopyToOutputDirectory="Never"
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Visible="false"
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/>
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<None Include="$(OnnxRuntimeCsharpRoot)\..\orttraining\orttraining\training_api\include\onnxruntime_training*.h"
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Condition="'$(OrtPackageId)' == 'Microsoft.ML.OnnxRuntime.Training'"
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PackagePath="\build\native\include"
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Pack="false"
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CopyToOutputDirectory="Never"
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Visible="false"
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/>
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<None Include="$(NativeBuildOutputDir)\libonnxruntime.so"
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Condition="Exists('$(NativeBuildOutputDir)\libonnxruntime.so')"
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PackagePath="\runtimes\linux-$(TargetArchitecture)\native"
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@ -8,6 +8,7 @@ def publishDir = System.properties['publishDir']
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def minSdkVer = System.properties['minSdkVer']
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def targetSdkVer = System.properties['targetSdkVer']
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def buildVariant = System.properties['buildVariant'] ?: "Full"
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boolean enableTrainingApis = (System.properties['ENABLE_TRAINING_APIS'] ?: "0") == "1"
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boolean isMobileBuild = (buildVariant == "Mobile")
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// Since Android requires a higher numbers indicating more recent versions
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@ -26,7 +27,8 @@ project.buildDir = buildDir
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project.version = rootProject.file('../VERSION_NUMBER').text.trim()
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project.group = "com.microsoft.onnxruntime"
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def mavenArtifactId = isMobileBuild ? project.name + '-mobile' : project.name + '-android'
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def tmpArtifactId = enableTrainingApis ? project.name + "-training" : project.name
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def mavenArtifactId = isMobileBuild ? tmpArtifactId + '-mobile' : tmpArtifactId + '-android'
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def mobileDescription = 'The ONNX Runtime Mobile package is a size optimized inference library for executing ONNX ' +
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'(Open Neural Network Exchange) models on Android. This package is built from the open source inference engine ' +
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'but with reduced disk footprint targeting mobile platforms. To minimize binary size this library supports a ' +
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@ -37,6 +39,10 @@ def defaultDescription = 'ONNX Runtime is a performance-focused inference engine
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'Exchange) models. This package contains the Android (aar) build of ONNX Runtime. It includes support for all ' +
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'types and operators, for ONNX format models. All standard ONNX models can be executed with this package. ' +
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'As such the binary size and memory usage will be larger than the onnxruntime-mobile package.'
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def trainingDescription = 'The onnxruntime-training android package is designed to efficiently train and infer a ' +
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'wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with ' +
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'a focus on minimizing resource usage and maximizing accuracy.' +
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'See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.'
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buildscript {
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repositories {
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@ -137,8 +143,8 @@ publishing {
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artifact sourcesJar
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pom {
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name = 'onnx-runtime'
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description = isMobileBuild ? mobileDescription : defaultDescription
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name = enableTrainingApis ? 'onnxruntime-training' : 'onnx-runtime'
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description = isMobileBuild ? mobileDescription : enableTrainingApis ? trainingDescription : defaultDescription
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url = 'https://microsoft.github.io/onnxruntime/'
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licenses {
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license {
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@ -19,7 +19,7 @@ version = rootProject.file('../VERSION_NUMBER').text.trim()
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def cmakeBuildDir = System.properties['cmakeBuildDir']
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def useCUDA = System.properties['USE_CUDA']
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def useROCM = System.properties['USE_ROCM']
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def enableTrainingApis = System.properties['ENABLE_TRAINING_APIS']
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boolean enableTrainingApis = (System.properties['ENABLE_TRAINING_APIS'] ?: "0") == "1"
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def cmakeJavaDir = "${cmakeBuildDir}/java"
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def cmakeNativeLibDir = "${cmakeJavaDir}/native-lib"
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def cmakeNativeJniDir = "${cmakeJavaDir}/native-jni"
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@ -29,9 +29,14 @@ def cmakeBuildOutputDir = "${cmakeJavaDir}/build"
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def mavenUser = System.properties['mavenUser']
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def mavenPwd = System.properties['mavenPwd']
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def tmpArtifactId = enableTrainingApis == null ? project.name : project.name + "-training"
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def tmpArtifactId = enableTrainingApis ? project.name + "-training" : project.name
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def mavenArtifactId = (useCUDA == null && useROCM == null) ? tmpArtifactId : tmpArtifactId + "_gpu"
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def defaultDescription = 'ONNX Runtime is a performance-focused inference engine for ONNX (Open Neural Network Exchange) models.'
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def trainingDescription = 'ONNX Runtime Training is a training and inference package for ONNX ' +
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'(Open Neural Network Exchange) models. This package is targeted for Learning on The Edge aka On-Device Training ' +
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'See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.'
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java {
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sourceCompatibility = JavaVersion.VERSION_1_8
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targetCompatibility = JavaVersion.VERSION_1_8
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@ -201,8 +206,8 @@ publishing {
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from components.java
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pom {
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name = 'onnx-runtime'
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description = 'ONNX Runtime is a performance-focused inference engine for ONNX (Open Neural Network Exchange) models.'
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name = enableTrainingApis ? 'onnxruntime-training' : 'onnx-runtime'
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description = enableTrainingApis ? trainingDescription : defaultDescription
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url = 'https://microsoft.github.io/onnxruntime/'
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licenses {
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license {
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@ -1,6 +1,10 @@
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// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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// TODO(askhade): enable these tests for all training builds.
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// 2 of the tests are failing for winx86 builds.
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// Need more debugging to find the root cause.
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#ifdef ENABLE_TRAINING
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#include "gtest/gtest.h"
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#include "test/providers/provider_test_utils.h"
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#include "test/common/cuda_op_test_utils.h"
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@ -114,3 +118,5 @@ TEST(GatherNDGradOpTest, GatherNDGrad_batch_dims_two_negative_indices) {
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} // namespace test
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} // namespace onnxruntime
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#endif
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@ -180,6 +180,9 @@ def _build_aar(args):
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"-DminSdkVer=" + str(build_settings["android_min_sdk_version"]),
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"-DtargetSdkVer=" + str(build_settings["android_target_sdk_version"]),
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"-DbuildVariant=" + str(build_settings["build_variant"]),
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"-DENABLE_TRAINING_APIS=1"
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if "--enable_training_apis" in build_settings["build_params"]
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else "-DENABLE_TRAINING_APIS=0",
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]
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# clean, build, and publish to a local directory
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@ -0,0 +1,21 @@
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{
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"build_abis": [
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"armeabi-v7a",
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"arm64-v8a",
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"x86",
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"x86_64"
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],
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"android_min_sdk_version": 21,
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"android_target_sdk_version": 24,
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"build_params": [
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"--android",
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"--parallel",
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"--cmake_generator=Ninja",
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"--build_java",
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"--build_shared_lib",
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"--use_nnapi",
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"--use_xnnpack",
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"--skip_tests",
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"--enable_training_apis"
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]
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}
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@ -48,6 +48,17 @@ stages:
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AdditionalWinBuildFlags: '--enable_onnx_tests --enable_wcos'
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BuildVariant: 'default'
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- template: templates/ondevice-training-cpu-packaging-pipeline.yml
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parameters:
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RunOnnxRuntimeTests: ${{ parameters.RunOnnxRuntimeTests }}
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DoCompliance: ${{ parameters.DoCompliance }}
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DoEsrp: ${{ parameters.DoEsrp }}
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IsReleaseBuild: ${{ parameters.IsReleaseBuild }}
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OrtNugetPackageId: 'Microsoft.ML.OnnxRuntime.Training'
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AdditionalBuildFlags: '--enable_training_apis'
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AdditionalWinBuildFlags: '--enable_onnx_tests --enable_wcos'
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BuildVariant: 'default'
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- stage: Linux_C_API_Packaging_GPU_x64
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dependsOn: []
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jobs:
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@ -687,12 +698,14 @@ stages:
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AgentPool : 'onnxruntime-gpu-tensorrt8-winbuild-t4'
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NugetPackageName : 'Microsoft.ML.OnnxRuntime.Gpu'
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ArtifactSuffix: 'GPU'
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StageSuffix: 'GPU'
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Skipx86Tests: 'true'
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- template: nuget/templates/test_linux.yml
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parameters:
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AgentPool : Onnxruntime-Linux-GPU
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ArtifactSuffix: 'GPU'
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StageSuffix: 'GPU'
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NugetPackageName : 'Microsoft.ML.OnnxRuntime.Gpu'
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- template: nuget/templates/dml-vs-2019.yml
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@ -2,13 +2,13 @@ parameters:
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AgentPool: 'aiinfra-Linux-CPU'
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ArtifactSuffix: ''
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NugetPackageName : ''
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StageSuffix: 'CPU'
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NativePackagePrefix: 'onnxruntime'
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stages:
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- stage: NuGet_Test_Linux_${{ parameters.ArtifactSuffix }}
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- stage: NuGet_Test_Linux_${{ parameters.StageSuffix }}
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dependsOn:
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- NuGet_Packaging_${{ parameters.ArtifactSuffix }}
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# For downloading Linux CustomOp TestData
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- Linux_C_API_Packaging_CPU
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- NuGet_Packaging_${{ parameters.StageSuffix }}
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condition: succeeded()
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jobs:
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- job:
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@ -31,7 +31,7 @@ stages:
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- task: DownloadPipelineArtifact@0
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displayName: 'Download Linux CustomOp TestData'
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inputs:
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artifactName: 'onnxruntime-linux-x64'
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artifactName: '${{ parameters.NativePackagePrefix }}-linux-x64'
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targetPath: '$(Build.BinariesDirectory)/testdata'
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- template: get-nuget-package-version-as-variable.yml
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@ -2,12 +2,17 @@ parameters:
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AgentPool : 'Win-CPU'
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NugetPackageName : ''
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ArtifactSuffix: ''
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StageSuffix: 'CPU'
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# For inference packages, the test data artifact name is drop-nuget and no suffix is required.
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# For training packages, to differentiate the artifact name we add '-training' suffix. This needs to be passed from
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# the parent pipeline.
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TestDataArtifactSuffix: ''
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Skipx86Tests: 'false'
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stages:
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- stage: NuGet_Test_Win_${{ parameters.ArtifactSuffix }}
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- stage: NuGet_Test_Win_${{ parameters.StageSuffix }}
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dependsOn:
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- NuGet_Packaging_${{ parameters.ArtifactSuffix }}
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- NuGet_Packaging_${{ parameters.StageSuffix }}
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condition: succeeded()
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jobs:
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- job:
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@ -58,7 +63,7 @@ stages:
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- task: DownloadPipelineArtifact@0
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displayName: 'Download Pipeline Artifact - testdata'
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inputs:
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artifactName: 'drop-nuget'
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artifactName: 'drop-nuget${{ parameters.TestDataArtifactSuffix }}'
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targetPath: '$(Build.BinariesDirectory)\testdata'
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- template: get-nuget-package-version-as-variable.yml
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@ -5,28 +5,40 @@ parameters:
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type: string
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default: ''
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- name: BaseImage
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- name: BaseImage
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type: string
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- name: OnnxruntimeArch
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- name: OnnxruntimeArch
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type: string
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- name: OnnxruntimeCFlags
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- name: OnnxruntimeCFlags
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type: string
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- name: OnnxruntimeCXXFlags
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- name: OnnxruntimeCXXFlags
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type: string
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- name: OnnxruntimeNodejsBindingArch
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- name: OnnxruntimeNodejsBindingArch
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type: string
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- name: PoolName
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type: string
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default: 'aiinfra-Linux-CPU'
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- name: ArtifactNamePrefix
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type: string
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default: "onnxruntime"
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- name: PackageJava
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type: boolean
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default: true
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- name: PackageNodejs
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type: boolean
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default: true
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jobs:
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- job: Linux_C_API_Packaging_CPU_${{parameters.OnnxruntimeArch}}
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workspace:
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clean: all
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variables:
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@ -66,8 +78,9 @@ jobs:
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ls -al $(Build.ArtifactStagingDirectory)
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displayName: 'Create Artifacts'
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- template: java-api-artifacts-package-and-publish-steps-posix.yml
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parameters:
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- ${{ if eq(parameters.PackageJava, 'true') }}:
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- template: java-api-artifacts-package-and-publish-steps-posix.yml
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parameters:
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arch: 'linux-${{parameters.OnnxruntimeArch}}'
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buildConfig: 'Release'
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artifactName: 'onnxruntime-java-linux-${{parameters.OnnxruntimeArch}}'
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@ -78,19 +91,21 @@ jobs:
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- template: c-api-artifacts-package-and-publish-steps-posix.yml
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parameters:
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buildConfig: 'Release'
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artifactName: 'onnxruntime-linux-${{parameters.OnnxruntimeArch}}-$(OnnxRuntimeVersion)'
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artifactNameNoVersionString: 'onnxruntime-linux-${{parameters.OnnxruntimeArch}}'
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artifactName: '${{parameters.ArtifactNamePrefix}}-linux-${{parameters.OnnxruntimeArch}}-$(OnnxRuntimeVersion)'
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artifactNameNoVersionString: '${{parameters.ArtifactNamePrefix}}-linux-${{parameters.OnnxruntimeArch}}'
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libraryName: 'libonnxruntime.so.$(OnnxRuntimeVersion)'
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- template: nodejs-artifacts-package-and-publish-steps-posix.yml
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parameters:
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- ${{ if eq(parameters.PackageNodejs, 'true') }}:
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- template: nodejs-artifacts-package-and-publish-steps-posix.yml
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parameters:
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arch: '${{parameters.OnnxruntimeNodejsBindingArch}}'
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os: 'linux'
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artifactName: 'drop-onnxruntime-nodejs-linux-${{parameters.OnnxruntimeArch}}'
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- ${{ if not(eq(parameters.OnnxruntimeNodejsBindingArch, 'arm64')) }}:
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- template: component-governance-component-detection-steps.yml
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parameters:
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condition: 'succeeded'
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- task: mspremier.PostBuildCleanup.PostBuildCleanup-task.PostBuildCleanup@3
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displayName: 'Clean Agent Directories'
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condition: always()
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condition: always()
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|
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|
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@ -4,8 +4,26 @@ parameters:
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type: string
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default: ''
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- name: stage_name_suffix
|
||||
displayName: Suffix for stage name as every stage name needs to be unique
|
||||
type: string
|
||||
default: 'CPU'
|
||||
|
||||
- name: ArtifactNamePrefix
|
||||
displayName: Prefix for artifact name
|
||||
type: string
|
||||
default: onnxruntime
|
||||
|
||||
- name: PackageJava
|
||||
type: boolean
|
||||
default: true
|
||||
|
||||
- name: PackageNodejs
|
||||
type: boolean
|
||||
default: true
|
||||
|
||||
stages:
|
||||
- stage: Linux_C_API_Packaging_CPU
|
||||
- stage: Linux_C_API_Packaging_${{ parameters.stage_name_suffix }}
|
||||
dependsOn: [ ]
|
||||
jobs:
|
||||
- template: c-api-linux-cpu.yml
|
||||
|
|
@ -17,6 +35,10 @@ stages:
|
|||
OnnxruntimeCXXFlags: '-Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -fstack-clash-protection -fcf-protection -O3 -Wl,--strip-all'
|
||||
OnnxruntimeNodejsBindingArch: 'x64'
|
||||
PoolName: 'aiinfra-Linux-CPU'
|
||||
ArtifactNamePrefix: ${{ parameters.ArtifactNamePrefix }}
|
||||
PackageJava: ${{ parameters.PackageJava }}
|
||||
PackageNodeJS: ${{ parameters.PackageNodeJS }}
|
||||
|
||||
- template: c-api-linux-cpu.yml
|
||||
parameters:
|
||||
AdditionalBuildFlags: ${{ parameters.AdditionalBuildFlags }}
|
||||
|
|
@ -25,4 +47,7 @@ stages:
|
|||
OnnxruntimeCFlags: '-Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -fstack-clash-protection -O3 -Wl,--strip-all'
|
||||
OnnxruntimeCXXFlags: '-Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -fstack-clash-protection -O3 -Wl,--strip-all'
|
||||
OnnxruntimeNodejsBindingArch: 'arm64'
|
||||
PoolName: 'aiinfra-linux-ARM64-CPU-2019'
|
||||
PoolName: 'aiinfra-linux-ARM64-CPU-2019'
|
||||
ArtifactNamePrefix: ${{ parameters.ArtifactNamePrefix }}
|
||||
PackageJava: ${{ parameters.PackageJava }}
|
||||
PackageNodeJS: ${{ parameters.PackageNodeJS }}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,368 @@
|
|||
parameters:
|
||||
- name: RunOnnxRuntimeTests
|
||||
displayName: Run Tests?
|
||||
type: boolean
|
||||
default: true
|
||||
|
||||
- name: DoCompliance
|
||||
displayName: Run Compliance Tasks?
|
||||
type: boolean
|
||||
default: true
|
||||
|
||||
- name: DoEsrp
|
||||
displayName: Run code sign tasks? Must be true if you are doing an Onnx Runtime release.
|
||||
type: boolean
|
||||
default: false
|
||||
|
||||
- name: IsReleaseBuild
|
||||
displayName: Is a release build? Set it to true if you are doing an Onnx Runtime release.
|
||||
type: boolean
|
||||
default: false
|
||||
|
||||
- name: AdditionalBuildFlags
|
||||
displayName: Additional build flags for build.py
|
||||
type: string
|
||||
default: ''
|
||||
|
||||
- name: AdditionalWinBuildFlags
|
||||
displayName: Additional build flags that just for Windows Builds
|
||||
type: string
|
||||
default: ''
|
||||
|
||||
- name: OrtNugetPackageId
|
||||
displayName: Package name for nuget
|
||||
type: string
|
||||
default: 'Microsoft.ML.OnnxRuntime.Training'
|
||||
|
||||
- name: BuildVariant
|
||||
type: string
|
||||
default: 'default'
|
||||
|
||||
stages:
|
||||
- template: linux-cpu-packaging-pipeline.yml
|
||||
parameters:
|
||||
AdditionalBuildFlags: ${{ parameters.AdditionalBuildFlags }}
|
||||
stage_name_suffix: Training_CPU
|
||||
ArtifactNamePrefix: onnxruntime-training
|
||||
PackageJava: false
|
||||
PackageNodeJS: false
|
||||
|
||||
- template: win-ci.yml
|
||||
parameters:
|
||||
DoCompliance: ${{ parameters.DoCompliance }}
|
||||
DoEsrp: ${{ parameters.DoEsrp }}
|
||||
stage_name_suffix: Training_CPU_x86_${{ parameters.BuildVariant }}
|
||||
artifact_name_suffix: -training
|
||||
EnvSetupScript: setup_env_x86.bat
|
||||
buildArch: x86
|
||||
msbuildPlatform: Win32
|
||||
packageName: x86
|
||||
buildparameter: ${{ parameters.AdditionalBuildFlags }} ${{ parameters.AdditionalWinBuildFlags}}
|
||||
runTests: ${{ parameters.RunOnnxRuntimeTests }}
|
||||
buildJava: false
|
||||
buildNodejs: false
|
||||
|
||||
- template: win-ci.yml
|
||||
parameters:
|
||||
DoCompliance: ${{ parameters.DoCompliance }}
|
||||
DoEsrp: ${{ parameters.DoEsrp }}
|
||||
stage_name_suffix: Training_CPU_arm_${{ parameters.BuildVariant }}
|
||||
artifact_name_suffix: -training
|
||||
EnvSetupScript: setup_env.bat
|
||||
buildArch: x64
|
||||
msbuildPlatform: arm
|
||||
packageName: arm
|
||||
buildparameter: --arm ${{ parameters.AdditionalBuildFlags }} ${{ parameters.AdditionalWinBuildFlags}} --path_to_protoc_exe $(Build.BinariesDirectory)\RelWithDebInfo\installed\bin\protoc.exe
|
||||
runTests: false
|
||||
buildJava: false
|
||||
buildNodejs: false
|
||||
|
||||
- template: win-ci.yml
|
||||
parameters:
|
||||
DoCompliance: ${{ parameters.DoCompliance }}
|
||||
DoEsrp: ${{ parameters.DoEsrp }}
|
||||
stage_name_suffix: Training_CPU_arm64_${{ parameters.BuildVariant }}
|
||||
artifact_name_suffix: -training
|
||||
EnvSetupScript: setup_env.bat
|
||||
buildArch: x64
|
||||
msbuildPlatform: arm64
|
||||
packageName: arm64
|
||||
buildparameter: --arm64 ${{ parameters.AdditionalBuildFlags }} ${{ parameters.AdditionalWinBuildFlags}} --path_to_protoc_exe $(Build.BinariesDirectory)\RelWithDebInfo\installed\bin\protoc.exe
|
||||
runTests: false
|
||||
buildJava: false
|
||||
buildNodejs: false
|
||||
|
||||
- template: win-ci.yml
|
||||
parameters:
|
||||
DoCompliance: ${{ parameters.DoCompliance }}
|
||||
DoEsrp: ${{ parameters.DoEsrp }}
|
||||
stage_name_suffix: Training_CPU_x64_${{ parameters.BuildVariant }}
|
||||
artifact_name_suffix: -training
|
||||
EnvSetupScript: setup_env.bat
|
||||
buildArch: x64
|
||||
msbuildPlatform: x64
|
||||
packageName: x64
|
||||
buildparameter: ${{ parameters.AdditionalBuildFlags }} ${{ parameters.AdditionalWinBuildFlags}}
|
||||
runTests: ${{ parameters.RunOnnxRuntimeTests }}
|
||||
buildJava: false
|
||||
buildNodejs: false
|
||||
|
||||
- stage: Android_Java_API_AAR_Packaging_Training_Full
|
||||
dependsOn: []
|
||||
jobs:
|
||||
- template: android-java-api-aar.yml
|
||||
parameters:
|
||||
buildConfig: 'Release'
|
||||
buildSettings: '$(Build.SourcesDirectory)/tools/ci_build/github/android/training_full_aar_build_settings.json'
|
||||
artifactName: 'onnxruntime-training-android-full-aar'
|
||||
job_name_suffix: 'Training_Full'
|
||||
publish_executables: '1'
|
||||
packageName: onnxruntime-training-android
|
||||
- template: android-java-api-aar-test.yml
|
||||
parameters:
|
||||
artifactName: 'onnxruntime-training-android-full-aar'
|
||||
job_name_suffix: 'Training_Full'
|
||||
packageName: onnxruntime-training-android
|
||||
|
||||
- stage: NuGet_Packaging_Training_CPU
|
||||
dependsOn:
|
||||
- Linux_C_API_Packaging_Training_CPU
|
||||
- Windows_Packaging_Training_CPU_x86_${{ parameters.BuildVariant }}
|
||||
- Windows_Packaging_Training_CPU_x64_${{ parameters.BuildVariant }}
|
||||
- Windows_Packaging_Training_CPU_arm_${{ parameters.BuildVariant }}
|
||||
- Windows_Packaging_Training_CPU_arm64_${{ parameters.BuildVariant }}
|
||||
- Android_Java_API_AAR_Packaging_Training_Full
|
||||
condition: succeeded()
|
||||
jobs:
|
||||
- job:
|
||||
workspace:
|
||||
clean: all
|
||||
# we need to use the 2022 pool to create the nuget package with both pre-net6+Xamarin and net6 targets.
|
||||
# VS2019 has no support for net6 and we need to use msbuild (from the VS install) to do the packing
|
||||
pool: 'Azure-Pipelines-EO-Windows2022-aiinfra'
|
||||
variables:
|
||||
OrtPackageId: ${{ parameters.OrtNugetPackageId }}
|
||||
breakCodesignValidationInjection: ${{ parameters.DoEsrp }}
|
||||
|
||||
steps:
|
||||
- checkout: self
|
||||
submodules: true
|
||||
- task: DownloadPipelineArtifact@0
|
||||
displayName: 'Download win-x64 Pipeline Artifact'
|
||||
inputs:
|
||||
artifactName: 'onnxruntime-training-win-x64'
|
||||
targetPath: '$(Build.BinariesDirectory)/nuget-artifact'
|
||||
|
||||
- task: DownloadPipelineArtifact@0
|
||||
displayName: 'Download win-x86 Pipeline Artifact'
|
||||
inputs:
|
||||
artifactName: 'onnxruntime-training-win-x86'
|
||||
targetPath: '$(Build.BinariesDirectory)/nuget-artifact'
|
||||
|
||||
- task: DownloadPipelineArtifact@0
|
||||
displayName: 'Download win-arm64 Pipeline Artifact'
|
||||
inputs:
|
||||
artifactName: 'onnxruntime-training-win-arm64'
|
||||
targetPath: '$(Build.BinariesDirectory)/nuget-artifact'
|
||||
|
||||
- task: DownloadPipelineArtifact@0
|
||||
displayName: 'Download win-arm Pipeline Artifact'
|
||||
inputs:
|
||||
artifactName: 'onnxruntime-training-win-arm'
|
||||
targetPath: '$(Build.BinariesDirectory)/nuget-artifact'
|
||||
|
||||
- task: DownloadPipelineArtifact@0
|
||||
displayName: 'Download linux-x64 Pipeline Artifact'
|
||||
inputs:
|
||||
artifactName: 'onnxruntime-training-linux-x64'
|
||||
targetPath: '$(Build.BinariesDirectory)/nuget-artifact'
|
||||
|
||||
- task: DownloadPipelineArtifact@0
|
||||
displayName: 'Download linux-aarch64 Pipeline Artifact - NuGet'
|
||||
inputs:
|
||||
artifactName: 'onnxruntime-training-linux-aarch64'
|
||||
targetPath: '$(Build.BinariesDirectory)/nuget-artifact'
|
||||
|
||||
- task: DownloadPipelineArtifact@2
|
||||
displayName: 'Download android-full-aar Pipeline Artifact'
|
||||
inputs:
|
||||
artifactName: 'onnxruntime-training-android-full-aar'
|
||||
patterns: '**/*.aar'
|
||||
targetPath: '$(Build.BinariesDirectory)/nuget-artifact'
|
||||
|
||||
- task: DownloadPipelineArtifact@0
|
||||
displayName: 'Download drop-extra Pipeline Artifact'
|
||||
inputs:
|
||||
artifactName: 'drop-extra-training'
|
||||
targetPath: '$(Build.BinariesDirectory)/extra-artifact'
|
||||
|
||||
- script: |
|
||||
dir
|
||||
workingDirectory: '$(Build.BinariesDirectory)/nuget-artifact'
|
||||
displayName: 'List artifacts'
|
||||
|
||||
# Reconstruct the build dir
|
||||
- task: PowerShell@2
|
||||
displayName: 'Extract native libraries for addition to nuget native package'
|
||||
inputs:
|
||||
targetType: filePath
|
||||
filePath: $(Build.SourcesDirectory)\tools\ci_build\github\windows\extract_nuget_files.ps1
|
||||
|
||||
- script: |
|
||||
mklink /D /J models C:\local\models
|
||||
workingDirectory: '$(Build.BinariesDirectory)'
|
||||
displayName: 'Create models link'
|
||||
|
||||
- task: NuGetToolInstaller@0
|
||||
displayName: Use Nuget 6.2.1
|
||||
inputs:
|
||||
versionSpec: 6.2.1
|
||||
|
||||
- task: PowerShell@2
|
||||
displayName: Install .NET 6 workloads
|
||||
inputs:
|
||||
targetType: 'inline'
|
||||
script: |
|
||||
dotnet workload install android
|
||||
workingDirectory: '$(Build.SourcesDirectory)\csharp'
|
||||
|
||||
- task: PowerShell@2
|
||||
displayName: Build Microsoft.ML.OnnxRuntime .NET 6 targets using dotnet
|
||||
inputs:
|
||||
targetType: 'inline'
|
||||
# we don't specify 'Any CPU' as the platform here because if we do it gets added to the output path
|
||||
# e.g. csharp\src\Microsoft.ML.OnnxRuntime\bin\Any CPU\RelWithDebInfo\net6.0-ios\
|
||||
# which is inconsistent with the msbuild output path for the pre-.net6 targets
|
||||
# e.g. csharp\src\Microsoft.ML.OnnxRuntime\bin\RelWithDebInfo\monoandroid11.0
|
||||
# and makes it harder to do the packing
|
||||
#
|
||||
# 'Any CPU' is the default (first 'mixed' platform specified in the csproj) so this should be fine.
|
||||
script: |
|
||||
dotnet build .\src\Microsoft.ML.OnnxRuntime\Microsoft.ML.OnnxRuntime.csproj -p:SelectedTargets=Net6 -p:Configuration=RelWithDebInfo -p:OnnxRuntimeBuildDirectory="$(Build.BinariesDirectory)" -p:OrtPackageId=$(OrtPackageId) -p:IsReleaseBuild=${{ parameters.IsReleaseBuild }}
|
||||
workingDirectory: '$(Build.SourcesDirectory)\csharp'
|
||||
|
||||
- task: MSBuild@1
|
||||
displayName: 'Restore NuGet Packages and create project.assets.json for pre-.net6 targets'
|
||||
inputs:
|
||||
solution: '$(Build.SourcesDirectory)\csharp\OnnxRuntime.CSharp.sln'
|
||||
platform: 'Any CPU'
|
||||
configuration: RelWithDebInfo
|
||||
msbuildArguments: '-t:restore -p:SelectedTargets=PreNet6 -p:OrtPackageId=$(OrtPackageId)'
|
||||
workingDirectory: '$(Build.SourcesDirectory)\csharp'
|
||||
|
||||
- task: MSBuild@1
|
||||
displayName: 'Build C# for pre-.net6 targets'
|
||||
inputs:
|
||||
solution: '$(Build.SourcesDirectory)\csharp\OnnxRuntime.CSharp.sln'
|
||||
platform: 'Any CPU'
|
||||
configuration: RelWithDebInfo
|
||||
msbuildArguments: '-p:SelectedTargets=PreNet6 -p:OnnxRuntimeBuildDirectory="$(Build.BinariesDirectory)" -p:OrtPackageId=$(OrtPackageId) -p:IsReleaseBuild=${{ parameters.IsReleaseBuild }}'
|
||||
workingDirectory: '$(Build.SourcesDirectory)\csharp'
|
||||
|
||||
- ${{ if eq(parameters.DoEsrp, true) }}:
|
||||
- template: win-esrp-dll.yml
|
||||
parameters:
|
||||
FolderPath: '$(Build.SourcesDirectory)\csharp\src\Microsoft.ML.OnnxRuntime\bin\RelWithDebInfo'
|
||||
DisplayName: 'ESRP - Sign C# dlls'
|
||||
DoEsrp: ${{ parameters.DoEsrp }}
|
||||
|
||||
- task: MSBuild@1
|
||||
displayName: Update projects.assets.json with combined list of all target frameworks
|
||||
inputs:
|
||||
solution: '$(Build.SourcesDirectory)\csharp\src\Microsoft.ML.OnnxRuntime\Microsoft.ML.OnnxRuntime.csproj'
|
||||
platform: 'Any CPU'
|
||||
configuration: RelWithDebInfo
|
||||
msbuildArguments: '-t:restore -p:SelectedTargets=All -p:OrtPackageId=$(OrtPackageId)'
|
||||
workingDirectory: '$(Build.SourcesDirectory)\csharp'
|
||||
|
||||
- task: MSBuild@1
|
||||
displayName: 'Build Nuget Packages'
|
||||
inputs:
|
||||
solution: '$(Build.SourcesDirectory)\csharp\OnnxRuntime.CSharp.proj'
|
||||
platform: 'Any CPU'
|
||||
configuration: RelWithDebInfo
|
||||
msbuildArguments: '-t:CreatePackage -p:OnnxRuntimeBuildDirectory="$(Build.BinariesDirectory)" -p:OrtPackageId=$(OrtPackageId) -p:IsReleaseBuild=${{ parameters.IsReleaseBuild }}'
|
||||
workingDirectory: '$(Build.SourcesDirectory)\csharp'
|
||||
|
||||
- task: CopyFiles@2
|
||||
displayName: 'Copy native nuget package to: $(Build.ArtifactStagingDirectory)'
|
||||
inputs:
|
||||
SourceFolder: '$(Build.BinariesDirectory)\RelWithDebInfo\RelWithDebInfo'
|
||||
Contents: '*.nupkg'
|
||||
TargetFolder: '$(Build.ArtifactStagingDirectory)'
|
||||
|
||||
- task: CopyFiles@2
|
||||
displayName: 'Copy native nuget symbols package to: $(Build.ArtifactStagingDirectory)'
|
||||
inputs:
|
||||
SourceFolder: '$(Build.BinariesDirectory)\RelWithDebInfo\RelWithDebInfo'
|
||||
Contents: '*.snupkg'
|
||||
TargetFolder: '$(Build.ArtifactStagingDirectory)'
|
||||
|
||||
- task: CopyFiles@2
|
||||
displayName: 'Copy managed nuget package to: $(Build.ArtifactStagingDirectory)'
|
||||
inputs:
|
||||
SourceFolder: '$(Build.SourcesDirectory)\csharp\src\Microsoft.ML.OnnxRuntime\bin\RelWithDebInfo'
|
||||
Contents: '*.nupkg'
|
||||
TargetFolder: '$(Build.ArtifactStagingDirectory)'
|
||||
|
||||
- template: esrp_nuget.yml
|
||||
parameters:
|
||||
DisplayName: 'ESRP - sign NuGet package'
|
||||
FolderPath: '$(Build.ArtifactStagingDirectory)'
|
||||
DoEsrp: ${{ parameters.DoEsrp }}
|
||||
|
||||
- template: validate-package.yml
|
||||
parameters:
|
||||
PackageType: 'nuget'
|
||||
PackagePath: '$(Build.ArtifactStagingDirectory)'
|
||||
PackageName: 'Microsoft.ML.OnnxRuntime.Training.*nupkg'
|
||||
PlatformsSupported: 'win-x64,win-x86,linux-x64,linux-arm64'
|
||||
VerifyNugetSigning: false
|
||||
|
||||
- task: PublishPipelineArtifact@0
|
||||
displayName: 'Publish Pipeline NuGet Artifact'
|
||||
inputs:
|
||||
artifactName: 'drop-signed-nuget-Training-CPU'
|
||||
targetPath: '$(Build.ArtifactStagingDirectory)'
|
||||
|
||||
|
||||
- task: MSBuild@1
|
||||
displayName: 'Clean C#'
|
||||
inputs:
|
||||
solution: '$(Build.SourcesDirectory)\csharp\OnnxRuntime.CSharp.sln'
|
||||
platform: 'Any CPU'
|
||||
configuration: RelWithDebInfo
|
||||
msbuildArguments: '-t:Clean -p:OnnxRuntimeBuildDirectory="$(Build.BinariesDirectory)" -p:OrtPackageId=$(OrtPackageId)'
|
||||
workingDirectory: '$(Build.SourcesDirectory)\csharp'
|
||||
|
||||
- task: RoslynAnalyzers@2
|
||||
displayName: 'Run Roslyn Analyzers'
|
||||
inputs:
|
||||
userProvideBuildInfo: msBuildInfo
|
||||
msBuildCommandline: '"C:\Program Files\Microsoft Visual Studio\2022\Enterprise\MSBuild\Current\Bin\msbuild.exe" $(Build.SourcesDirectory)\csharp\OnnxRuntime.CSharp.sln -p:configuration="RelWithDebInfo" -p:Platform="Any CPU" -p:OnnxRuntimeBuildDirectory="$(Build.BinariesDirectory)" -p:OrtPackageId=$(OrtPackageId)'
|
||||
condition: and(succeeded(), eq('${{ parameters.DoCompliance }}', true))
|
||||
|
||||
- template: component-governance-component-detection-steps.yml
|
||||
parameters :
|
||||
condition : 'succeeded'
|
||||
|
||||
- task: mspremier.PostBuildCleanup.PostBuildCleanup-task.PostBuildCleanup@3
|
||||
displayName: 'Clean Agent Directories'
|
||||
condition: always()
|
||||
|
||||
- template: ../nuget/templates/test_win.yml
|
||||
parameters:
|
||||
AgentPool : 'Win-CPU-2021'
|
||||
Skipx86Tests : false
|
||||
NugetPackageName : 'Microsoft.ML.OnnxRuntime.Training'
|
||||
ArtifactSuffix: 'Training-CPU'
|
||||
StageSuffix: 'Training_CPU'
|
||||
TestDataArtifactSuffix: '-training'
|
||||
|
||||
- template: ../nuget/templates/test_linux.yml
|
||||
parameters:
|
||||
AgentPool : aiinfra-Linux-CPU
|
||||
NugetPackageName : 'Microsoft.ML.OnnxRuntime.Training'
|
||||
ArtifactSuffix: 'Training-CPU'
|
||||
StageSuffix: 'Training_CPU'
|
||||
NativePackagePrefix: 'onnxruntime-training'
|
||||
|
|
@ -13,6 +13,8 @@ stages:
|
|||
- NuGet_Test_Linux_GPU
|
||||
- NuGet_Test_MacOS
|
||||
- NuGet_Packaging_DML
|
||||
- NuGet_Test_Win_Training_CPU
|
||||
- NuGet_Test_Linux_Training_CPU
|
||||
jobs:
|
||||
- job:
|
||||
workspace:
|
||||
|
|
@ -78,6 +80,12 @@ stages:
|
|||
artifactName: 'drop-signed-nuget-dml'
|
||||
targetPath: $(Build.BinariesDirectory)/nuget-artifact/final-package
|
||||
|
||||
- task: DownloadPipelineArtifact@0
|
||||
displayName: 'Download Pipeline Artifact - Signed NuGet Package'
|
||||
inputs:
|
||||
artifactName: 'drop-signed-nuget-Training-CPU'
|
||||
targetPath: $(Build.BinariesDirectory)/nuget-artifact/final-package
|
||||
|
||||
- task: DownloadPipelineArtifact@0
|
||||
displayName: 'Download Pipeline Artifact - Signed NuGet Package'
|
||||
inputs:
|
||||
|
|
|
|||
|
|
@ -43,6 +43,12 @@ parameters:
|
|||
type: string
|
||||
default: ''
|
||||
|
||||
# for inference packages '', for training packages '-training'
|
||||
# used for drop-extra and c api artifacts (onnxruntime-win-* or onnxrutime-training-win-*)
|
||||
- name: artifact_name_suffix
|
||||
type: string
|
||||
default: ''
|
||||
|
||||
- name: ort_build_pool_name
|
||||
type: string
|
||||
default: 'Win-CPU-2021'
|
||||
|
|
@ -151,8 +157,8 @@ stages:
|
|||
- template: c-api-artifacts-package-and-publish-steps-windows.yml
|
||||
parameters:
|
||||
buildConfig: RelWithDebInfo
|
||||
artifactName: 'onnxruntime-win-${{ parameters.packageName }}-$(OnnxRuntimeVersion)'
|
||||
artifactNameNoVersionString: 'onnxruntime-win-${{ parameters.packageName }}'
|
||||
artifactName: 'onnxruntime${{ parameters.artifact_name_suffix }}-win-${{ parameters.packageName }}-$(OnnxRuntimeVersion)'
|
||||
artifactNameNoVersionString: 'onnxruntime${{ parameters.artifact_name_suffix }}-win-${{ parameters.packageName }}'
|
||||
commitId: $(OnnxRuntimeGitCommitHash)
|
||||
DoEsrp: ${{ parameters.DoEsrp }}
|
||||
|
||||
|
|
@ -168,7 +174,7 @@ stages:
|
|||
condition: and(succeeded(), eq('${{ parameters.packageName}}', 'x64'))
|
||||
inputs:
|
||||
targetPath: '$(Build.BinariesDirectory)\RelWithDebInfo\installed\bin\protoc.exe'
|
||||
artifactName: 'drop-extra'
|
||||
artifactName: 'drop-extra${{ parameters.artifact_name_suffix }}'
|
||||
|
||||
|
||||
- task: CopyFiles@2
|
||||
|
|
@ -184,8 +190,7 @@ stages:
|
|||
condition: and(succeeded(), eq('${{ parameters.packageName}}', 'x64'))
|
||||
inputs:
|
||||
targetPath: '$(Build.BinariesDirectory)\RelWithDebInfo\installed\bin\protoc.exe'
|
||||
artifactName: 'drop-nuget'
|
||||
|
||||
artifactName: 'drop-nuget${{ parameters.artifact_name_suffix }}'
|
||||
|
||||
- task: CmdLine@2
|
||||
condition: and(succeeded(), eq('${{ parameters.buildJava}}', true))
|
||||
|
|
|
|||
|
|
@ -36,12 +36,15 @@ Foreach-Object {
|
|||
|
||||
# copy android AAR.
|
||||
# for full build of onnxruntime Android AAR, there should only be one .aar file
|
||||
# called onnxruntime-android-x.y.z.aar but sanity check that
|
||||
$aars = Get-ChildItem $Env:BUILD_BINARIESDIRECTORY\nuget-artifact -Filter onnxruntime-android-*.aar
|
||||
|
||||
# called onnxruntime-android-x.y.z.aar or onnxruntime-training-android-x.y.z.aar but sanity check that
|
||||
$aars = Get-ChildItem $Env:BUILD_BINARIESDIRECTORY\nuget-artifact -Filter *.aar
|
||||
if ($aars.Count -eq 1) {
|
||||
$aar = $aars[0]
|
||||
$target_dir = "$nuget_artifacts_dir\onnxruntime-android-aar"
|
||||
$aar_prefix = "onnxruntime"
|
||||
if ($aar -like "onnxruntime-training*") {
|
||||
$aar_prefix = "onnxruntime-training"
|
||||
}
|
||||
$target_dir = "$nuget_artifacts_dir\$aar_prefix-android-aar"
|
||||
$target_file = "$target_dir\onnxruntime.aar" # remove '-mobile' and version info from filename
|
||||
New-Item -Path $target_dir -ItemType directory
|
||||
|
||||
|
|
@ -52,10 +55,24 @@ elseif ($aars.Count -gt 1) {
|
|||
Write-Error "Expected at most one Android .aar file but got: [$aars]"
|
||||
}
|
||||
|
||||
|
||||
New-Item -Path $Env:BUILD_BINARIESDIRECTORY\RelWithDebInfo\_deps\protobuf-build\RelWithDebInfo -ItemType directory
|
||||
|
||||
Copy-Item -Path $nuget_artifacts_dir\onnxruntime-win-x64-*\lib\* -Destination $Env:BUILD_BINARIESDIRECTORY\RelWithDebInfo\RelWithDebInfo
|
||||
# Check whether this is a training pipeline
|
||||
$is_training_pipeline = $false
|
||||
if (Test-Path -Path $nuget_artifacts_dir\onnxruntime-training-win-x64-*) {
|
||||
$is_training_pipeline = $true
|
||||
Write-Output "onnxruntime-training-win-x64-* dir exists. This is a training pipeline."
|
||||
}
|
||||
|
||||
# Copy onnxruntime and protoc binaries to the binaries dir as these are required
|
||||
# by Microsoft.ML.OnnxRuntime.Tests.NetCoreApp
|
||||
if ($is_training_pipeline) {
|
||||
Copy-Item -Path $nuget_artifacts_dir\onnxruntime-training-win-x64-*\lib\* -Destination $Env:BUILD_BINARIESDIRECTORY\RelWithDebInfo\RelWithDebInfo
|
||||
}
|
||||
else {
|
||||
Copy-Item -Path $nuget_artifacts_dir\onnxruntime-win-x64-*\lib\* -Destination $Env:BUILD_BINARIESDIRECTORY\RelWithDebInfo\RelWithDebInfo
|
||||
}
|
||||
|
||||
Copy-Item -Path $Env:BUILD_BINARIESDIRECTORY\extra-artifact\protoc.exe $Env:BUILD_BINARIESDIRECTORY\RelWithDebInfo\_deps\protobuf-build\RelWithDebInfo
|
||||
|
||||
"Get-ChildItem -Directory -Path $nuget_artifacts_dir\onnxruntime-*"
|
||||
|
|
@ -71,4 +88,4 @@ foreach ($ort_dir in $ort_dirs)
|
|||
|
||||
# List artifacts
|
||||
"Post copy artifacts"
|
||||
Get-ChildItem -Recurse $nuget_artifacts_dir\
|
||||
Get-ChildItem -Recurse $nuget_artifacts_dir\
|
||||
|
|
|
|||
|
|
@ -11,17 +11,17 @@ from pathlib import Path
|
|||
# What does the names of our C API tarball/zip files looks like
|
||||
# os: win, linux, osx
|
||||
# ep: cuda, tensorrt, None
|
||||
def get_package_name(os, cpu_arch, ep):
|
||||
pkg_name = None
|
||||
def get_package_name(os, cpu_arch, ep, is_training_package):
|
||||
pkg_name = "onnxruntime-training" if is_training_package else "onnxruntime"
|
||||
if os == "win":
|
||||
pkg_name = "onnxruntime-win-"
|
||||
pkg_name += "-win-"
|
||||
pkg_name += cpu_arch
|
||||
if ep == "cuda":
|
||||
pkg_name += "-cuda"
|
||||
elif ep == "tensorrt":
|
||||
pkg_name += "-tensorrt"
|
||||
elif os == "linux":
|
||||
pkg_name = "onnxruntime-linux-"
|
||||
pkg_name += "-linux-"
|
||||
pkg_name += cpu_arch
|
||||
if ep == "cuda":
|
||||
pkg_name += "-cuda"
|
||||
|
|
@ -43,13 +43,13 @@ def is_this_file_needed(ep, filename):
|
|||
# ep: cuda, tensorrt, None
|
||||
# files_list: a list of xml string pieces to append
|
||||
# This function has no return value. It updates files_list directly
|
||||
def generate_file_list_for_ep(nuget_artifacts_dir, ep, files_list, include_pdbs):
|
||||
def generate_file_list_for_ep(nuget_artifacts_dir, ep, files_list, include_pdbs, is_training_package):
|
||||
for child in nuget_artifacts_dir.iterdir():
|
||||
if not child.is_dir():
|
||||
continue
|
||||
|
||||
for cpu_arch in ["x86", "x64", "arm", "arm64"]:
|
||||
if child.name == get_package_name("win", cpu_arch, ep):
|
||||
if child.name == get_package_name("win", cpu_arch, ep, is_training_package):
|
||||
child = child / "lib" # noqa: PLW2901
|
||||
for child_file in child.iterdir():
|
||||
suffixes = [".dll", ".lib", ".pdb"] if include_pdbs else [".dll", ".lib"]
|
||||
|
|
@ -58,7 +58,7 @@ def generate_file_list_for_ep(nuget_artifacts_dir, ep, files_list, include_pdbs)
|
|||
'<file src="' + str(child_file) + '" target="runtimes/win-%s/native"/>' % cpu_arch
|
||||
)
|
||||
for cpu_arch in ["x86_64", "arm64"]:
|
||||
if child.name == get_package_name("osx", cpu_arch, ep):
|
||||
if child.name == get_package_name("osx", cpu_arch, ep, is_training_package):
|
||||
child = child / "lib" # noqa: PLW2901
|
||||
if cpu_arch == "x86_64":
|
||||
cpu_arch = "x64" # noqa: PLW2901
|
||||
|
|
@ -70,7 +70,7 @@ def generate_file_list_for_ep(nuget_artifacts_dir, ep, files_list, include_pdbs)
|
|||
'<file src="' + str(child_file) + '" target="runtimes/osx.10.14-%s/native"/>' % cpu_arch
|
||||
)
|
||||
for cpu_arch in ["x64", "aarch64"]:
|
||||
if child.name == get_package_name("linux", cpu_arch, ep):
|
||||
if child.name == get_package_name("linux", cpu_arch, ep, is_training_package):
|
||||
child = child / "lib" # noqa: PLW2901
|
||||
if cpu_arch == "x86_64":
|
||||
cpu_arch = "x64" # noqa: PLW2901
|
||||
|
|
@ -84,7 +84,7 @@ def generate_file_list_for_ep(nuget_artifacts_dir, ep, files_list, include_pdbs)
|
|||
'<file src="' + str(child_file) + '" target="runtimes/linux-%s/native"/>' % cpu_arch
|
||||
)
|
||||
|
||||
if child.name == "onnxruntime-android":
|
||||
if child.name == "onnxruntime-android" or child.name == "onnxruntime-training-android":
|
||||
for child_file in child.iterdir():
|
||||
if child_file.suffix in [".aar"]:
|
||||
files_list.append('<file src="' + str(child_file) + '" target="runtimes/android/native"/>')
|
||||
|
|
@ -149,6 +149,14 @@ def generate_description(line_list, package_name):
|
|||
|
||||
if package_name == "Microsoft.AI.MachineLearning":
|
||||
description = "This package contains Windows ML binaries."
|
||||
elif "Microsoft.ML.OnnxRuntime.Training" in package_name: # This is a Microsoft.ML.OnnxRuntime.Training.* package
|
||||
description = (
|
||||
"The onnxruntime-training native shared library artifacts are designed to efficiently train and infer "
|
||||
+ "a wide range of ONNX models on edge devices, such as client machines, gaming consoles, and other "
|
||||
+ "portable devices with a focus on minimizing resource usage and maximizing accuracy."
|
||||
+ "See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for "
|
||||
+ "more details."
|
||||
)
|
||||
elif "Microsoft.ML.OnnxRuntime" in package_name: # This is a Microsoft.ML.OnnxRuntime.* package
|
||||
description = (
|
||||
"This package contains native shared library artifacts for all supported platforms of ONNX Runtime."
|
||||
|
|
@ -286,7 +294,11 @@ def generate_metadata(line_list, args):
|
|||
generate_owners(metadata_list, "Microsoft")
|
||||
generate_description(metadata_list, args.package_name)
|
||||
generate_copyright(metadata_list, "\xc2\xa9 " + "Microsoft Corporation. All rights reserved.")
|
||||
generate_tags(metadata_list, "ONNX ONNX Runtime Machine Learning")
|
||||
generate_tags(
|
||||
metadata_list, "ONNX ONNX Runtime Machine Learning"
|
||||
) if "Microsoft.ML.OnnxRuntime.Training." in args.package_name else generate_tags(
|
||||
metadata_list, "native ONNX ONNXRuntime-Training Learning-on-The-Edge On-Device-Training MachineLearning"
|
||||
)
|
||||
generate_icon(metadata_list, "ORT_icon_for_light_bg.png")
|
||||
generate_license(metadata_list)
|
||||
generate_project_url(metadata_list, "https://github.com/Microsoft/onnxruntime")
|
||||
|
|
@ -301,7 +313,11 @@ def generate_metadata(line_list, args):
|
|||
def generate_files(line_list, args):
|
||||
files_list = ["<files>"]
|
||||
|
||||
is_cpu_package = args.package_name in ["Microsoft.ML.OnnxRuntime", "Microsoft.ML.OnnxRuntime.OpenMP"]
|
||||
is_cpu_package = args.package_name in [
|
||||
"Microsoft.ML.OnnxRuntime",
|
||||
"Microsoft.ML.OnnxRuntime.OpenMP",
|
||||
"Microsoft.ML.OnnxRuntime.Training",
|
||||
]
|
||||
is_mklml_package = args.package_name == "Microsoft.ML.OnnxRuntime.MKLML"
|
||||
is_cuda_gpu_package = args.package_name == "Microsoft.ML.OnnxRuntime.Gpu"
|
||||
is_dml_package = args.package_name == "Microsoft.ML.OnnxRuntime.DirectML"
|
||||
|
|
@ -391,7 +407,7 @@ def generate_files(line_list, args):
|
|||
"<file src="
|
||||
+ '"'
|
||||
+ os.path.join(
|
||||
args.sources_path, "orttraining\\orttraining\\training_api\\include\\onnxruntime_training_c_api.h"
|
||||
args.sources_path, "orttraining\\orttraining\\training_api\\include\\onnxruntime_training_*.h"
|
||||
)
|
||||
+ '" target="build\\native\\include" />'
|
||||
)
|
||||
|
|
@ -521,7 +537,7 @@ def generate_files(line_list, args):
|
|||
else:
|
||||
ep_list = [None]
|
||||
for ep in ep_list:
|
||||
generate_file_list_for_ep(nuget_artifacts_dir, ep, files_list, include_pdbs)
|
||||
generate_file_list_for_ep(nuget_artifacts_dir, ep, files_list, include_pdbs, is_training_package)
|
||||
is_ado_packaging_build = True
|
||||
else:
|
||||
# Code path for local dev build
|
||||
|
|
@ -996,6 +1012,61 @@ def generate_files(line_list, args):
|
|||
"<file src=" + '"' + net6_macos_target_targets + '" target="buildTransitive\\net6.0-macos12.3" />'
|
||||
)
|
||||
|
||||
# Process Training specific targets and props
|
||||
if args.package_name == "Microsoft.ML.OnnxRuntime.Training":
|
||||
monoandroid_source_targets = os.path.join(
|
||||
args.sources_path,
|
||||
"csharp",
|
||||
"src",
|
||||
"Microsoft.ML.OnnxRuntime",
|
||||
"targets",
|
||||
"monoandroid11.0",
|
||||
"targets.xml",
|
||||
)
|
||||
monoandroid_target_targets = os.path.join(
|
||||
args.sources_path,
|
||||
"csharp",
|
||||
"src",
|
||||
"Microsoft.ML.OnnxRuntime",
|
||||
"targets",
|
||||
"monoandroid11.0",
|
||||
args.package_name + ".targets",
|
||||
)
|
||||
|
||||
net6_android_source_targets = os.path.join(
|
||||
args.sources_path,
|
||||
"csharp",
|
||||
"src",
|
||||
"Microsoft.ML.OnnxRuntime",
|
||||
"targets",
|
||||
"net6.0-android",
|
||||
"targets.xml",
|
||||
)
|
||||
net6_android_target_targets = os.path.join(
|
||||
args.sources_path,
|
||||
"csharp",
|
||||
"src",
|
||||
"Microsoft.ML.OnnxRuntime",
|
||||
"targets",
|
||||
"net6.0-android",
|
||||
args.package_name + ".targets",
|
||||
)
|
||||
|
||||
os.system(copy_command + " " + monoandroid_source_targets + " " + monoandroid_target_targets)
|
||||
os.system(copy_command + " " + net6_android_source_targets + " " + net6_android_target_targets)
|
||||
|
||||
files_list.append("<file src=" + '"' + monoandroid_target_targets + '" target="build\\monoandroid11.0" />')
|
||||
files_list.append(
|
||||
"<file src=" + '"' + monoandroid_target_targets + '" target="buildTransitive\\monoandroid11.0" />'
|
||||
)
|
||||
|
||||
files_list.append(
|
||||
"<file src=" + '"' + net6_android_target_targets + '" target="build\\net6.0-android31.0" />'
|
||||
)
|
||||
files_list.append(
|
||||
"<file src=" + '"' + net6_android_target_targets + '" target="buildTransitive\\net6.0-android31.0" />'
|
||||
)
|
||||
|
||||
# Process License, ThirdPartyNotices, Privacy
|
||||
files_list.append("<file src=" + '"' + os.path.join(args.sources_path, "LICENSE.txt") + '" target="LICENSE.txt" />')
|
||||
files_list.append(
|
||||
|
|
|
|||
|
|
@ -35,6 +35,14 @@ dmlep_related_header_files = [
|
|||
"onnxruntime_cxx_inline.h",
|
||||
"dml_provider_factory.h",
|
||||
]
|
||||
training_related_header_files = [
|
||||
"onnxruntime_c_api.h",
|
||||
"onnxruntime_cxx_api.h",
|
||||
"onnxruntime_cxx_inline.h",
|
||||
"onnxruntime_training_c_api.h",
|
||||
"onnxruntime_training_cxx_api.h",
|
||||
"onnxruntime_training_cxx_inline.h",
|
||||
]
|
||||
|
||||
|
||||
def parse_arguments():
|
||||
|
|
@ -84,7 +92,14 @@ def check_if_headers_are_present(header_files, header_folder, file_list_in_packa
|
|||
|
||||
|
||||
def check_if_dlls_are_present(
|
||||
package_type, is_windows_ai_package, is_gpu_package, is_dml_package, platforms_supported, zip_file, package_path
|
||||
package_type,
|
||||
is_windows_ai_package,
|
||||
is_gpu_package,
|
||||
is_dml_package,
|
||||
is_training_package,
|
||||
platforms_supported,
|
||||
zip_file,
|
||||
package_path,
|
||||
):
|
||||
platforms = platforms_supported.strip().split(",")
|
||||
if package_type == "tarball":
|
||||
|
|
@ -123,6 +138,11 @@ def check_if_dlls_are_present(
|
|||
if is_dml_package:
|
||||
check_if_headers_are_present(dmlep_related_header_files, header_folder, file_list_in_package, platform)
|
||||
|
||||
if is_training_package:
|
||||
check_if_headers_are_present(
|
||||
training_related_header_files, header_folder, file_list_in_package, platform
|
||||
)
|
||||
|
||||
elif platform.startswith("linux"):
|
||||
if package_type == "nuget":
|
||||
folder = "runtimes/" + platform + "/native"
|
||||
|
|
@ -199,11 +219,13 @@ def validate_tarball(args):
|
|||
is_windows_ai_package = False
|
||||
zip_file = None
|
||||
is_dml_package = False
|
||||
is_training_package = False
|
||||
check_if_dlls_are_present(
|
||||
args.package_type,
|
||||
is_windows_ai_package,
|
||||
is_gpu_package,
|
||||
is_dml_package,
|
||||
is_training_package,
|
||||
args.platforms_supported,
|
||||
zip_file,
|
||||
package_folder,
|
||||
|
|
@ -227,12 +249,14 @@ def validate_zip(args):
|
|||
|
||||
is_windows_ai_package = False
|
||||
is_dml_package = False
|
||||
is_training_package = False
|
||||
zip_file = zipfile.ZipFile(package_name)
|
||||
check_if_dlls_are_present(
|
||||
args.package_type,
|
||||
is_windows_ai_package,
|
||||
is_gpu_package,
|
||||
is_dml_package,
|
||||
is_training_package,
|
||||
args.platforms_supported,
|
||||
zip_file,
|
||||
package_folder,
|
||||
|
|
@ -259,6 +283,11 @@ def validate_nuget(args):
|
|||
else:
|
||||
is_dml_package = False
|
||||
|
||||
if "Training" in nuget_file_name:
|
||||
is_training_package = True
|
||||
else:
|
||||
is_training_package = False
|
||||
|
||||
exit_code = 0
|
||||
|
||||
nupkg_copy_name = "NugetCopy.nupkg"
|
||||
|
|
@ -290,6 +319,7 @@ def validate_nuget(args):
|
|||
is_windows_ai_package,
|
||||
is_gpu_package,
|
||||
is_dml_package,
|
||||
is_training_package,
|
||||
args.platforms_supported,
|
||||
zip_file,
|
||||
None,
|
||||
|
|
|
|||
Loading…
Reference in a new issue