### Description
- removed installing AppCenter + pipeline step that runs AppCenter
Espresso tests
- added script for running AppCenter tests
### Motivation and Context
App Center is getting deprecated in the next year + we have upcoming
Android work that depends on working E2E testing.
---------
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
- Add Java API for appending QNN EP
- Update Java unit test setup
- Fix issues with setting system properties for tests
- Unify Windows/non-Windows setup to simplify
### Description
<!-- Describe your changes. -->
NS is not developed anymore and ORT doesn't use it for int4 inference
either. Remove it to clean up the code
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Description
if the variable is 1, the job running on A100 in PR checks.
Fixes
[AB#50333](https://aiinfra.visualstudio.com/6a833879-cd9b-44a4-a9de-adc2d818f13c/_workitems/edit/50333)
### Motivation and Context
We wish more big models which need to run on A100 can be tested in PR
checks, but Azure may decommission A100 agents without notifications
sometimes, which will block merging PRs.
This PR is an improvement of current workaround, making those jobs only
run main branch.
Once we find the A100 are all decommisioned by Azure, we could change
the UseA100 variable to 0 to disable the A100 jobs in PR checks
### Description
<!-- Describe your changes. -->
Jar maven signing:
- GnuPG
- sha256.
Jar packages artifacts:
- onnxruntime-android-full-aar
- onnxruntime-java
- onnxruntime-java-gpu
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Previously, it is manually signed.
Goal: make it automatically.
### Description
TensorRT 10.4 is GA now, update to 10.4
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Description
Fix regression caused by #17361
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Description
Update XNNPack to latest version (Sep 4)
- Some op outputs are changed, channel or stride paras are moved into
reshape func.
e.g.
96962a602d
- input params of xnnpack's resize related function are changed a lot
- KleidiAI is added as a dependency in ARM64
- The latest XNNPACK includes 2 static libs microkernels-prod and
xnnpack.
Without microkernels-prod, it throws the exception of Undefined symbols.
- Add ORT_TARGET_PROCESSOR to get the real processor target in CMake
### Description
See https://github.com/microsoft/onnxruntime-extensions/pull/476
and https://github.com/actions/runner-images/issues/7671
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Current issue
- [ ] For default xcode 15.2, that come with the MacOS-13, We Need to
update the boost container header boost/container_hash/hash.hpp version
to pass the build
- [x] For xcode 14.2 The Build passed but the `Run React Native Detox
Android e2e Test` Failed.
Possible flaky test, https://github.com/microsoft/onnxruntime/pull/21969
- [x] For xcode 14.3.1 We encountered following issue in `Build React
Native Detox iOS e2e Tests`
```
ld: file not found: /Applications/Xcode_14.3.1.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/lib/arc/libarclite_iphonesimulator.a
clang: error: linker command failed with exit code 1 (use -v to see invocation)
```
Applied following code to the eof in both ios/Podfile and fixed the
issue
```
post_install do |installer|
installer.generated_projects.each do |project|
project.targets.each do |target|
target.build_configurations.each do |config|
config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'] = '13.0'
end
end
end
end
```
- [x] https://github.com/facebook/react-native/issues/32483
Applying changes to ios/Pofile
```
pre_install do |installer|
# Custom pre-install script or commands
puts "Running pre-install script..."
# Recommended fix for https://github.com/facebook/react-native/issues/32483
# from https://github.com/facebook/react-native/issues/32483#issuecomment-966784501
system("sed -i '' 's/typedef uint8_t clockid_t;//' \"${SRCROOT}/Pods/RCT-Folly/folly/portability/Time.h\"")
end
```
- [ ] Detox environment setting up exceeded time out of 120000ms during
iso e2e test
### dependent
- [x] https://github.com/microsoft/onnxruntime/pull/21159
---------
Co-authored-by: Changming Sun <chasun@microsoft.com>
### Description
<!-- Describe your changes. -->
### Motivation and Context
The parameter isn't correct.
Maybe it hasn't negative impact by chance so far.
d8e64bb529/cmake/CMakeLists.txt (L1712-L1717)
### Description
Fix default value 10.2->10.3 in
linux-gpu-tensorrt-daily-perf-pipeline.yml
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
This is more flexible than hardcoding the provisioning profile name or UUID. The name shouldn't usually change but it is not guaranteed to remain constant.
### Description
<!-- Describe your changes. -->
The DML CIs build native and C# as well as sign DLLs in the same CI.
Some parts of that require .net 8 and some .net 6.
Update to use .net 8 in general, and revert to .net 6 for the signing.
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Fix packaging pipeline.
### Description
<!-- Describe your changes. -->
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Description
<!-- Describe your changes. -->
Update various test projects to .net8 from EOL frameworks.
Replace the Xamarin based Android and iOS test projects with a MAUI
based project that uses .net 8.
Add new CoreML flags to C# bindings
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Remove usage of EOL frameworks.
### Description
Rename ios_packaging.requirements.txt to ios_packaging/requirements.txt
### Motivation and Context
By doing this, the package within os_packaging/requirements.txt can be
scanned by CG task
- Remove redundant `OnnxruntimeModuleExampleE2ETest CheckOutputComponentExists` test
- Attempt to close any Application Not Responding (ANR) dialog prior to running Android test
- Add `--take-screenshots failing` option to detox test commands to save screenshots on failure
Calling Split API Calls Read+Model in lieu of unified Compile Model call
for export compile flow to ensure memory optimization. Freeing up model
proto and serialized string and read model ov ir later to free up memory
for the ahead pipeline
Optimization during EpCtxt flow
All the Graph related operations require all the Node Attributes to be
set while dealing with model instances internally with them, in the
existing implementation these attributes make a copy when constructing a
Graph dynamically during runtime.
Propose to use these attributes in place without creating a copy to
avoid memory allocation / copy while calling these Graph related
functions.
Changes to ensure the bug fixes related to openvino version and epctxt
file path.
Moving Compiler version to C++20 for getting r-value mem optimizations
benefit
### Motivation and Context
This change is required because memory optimization during Compilation
flow is too high.
---------
Co-authored-by: saurabhkale17 <saurabh1.kale@intel.com>
Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
Co-authored-by: Vishnudas Thaniel S <vishnudas.thaniel.s@intel.com>
Co-authored-by: Javier E. Martinez <javier.e.martinez@intel.com>
Co-authored-by: jatinwadhwa921 <110383850+jatinwadhwa921@users.noreply.github.com>
Co-authored-by: ankitm3k <ankit.maheshkar@intel.com>
Co-authored-by: jatinwadhwa921 <jatin.wadhwa@intel.com>
### Description
<!-- Describe your changes. -->
Files signature validation after signed by ESRP.
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
- Add validation after the ESRP process.
- Make sure the targeting pattern/suffix files are signed successfully
by ESRP.
- If the signature is not Valid, then will fail the following stages.
### Description
After editing the set-trigger-rules.py, we must run the file.
### Motivation and Context
Obviously the script wasn't run because some files's name are incorrect.
### Description
* Add new ROCm CI pipeline (`Linux ROCm CI Pipeline`) focusing on
inference.
* Resolve test errors; disable flaky tests.
based on test PR #21614.
### Description
Since the stage need to download drop-extra, it should add the
dependencies
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
both arm64ec and x64 packages are needed.
x64 is needed for offline context binary generation
and arm64ec is needed for interop with python packages that don't have
prebuilt arm64 packages and only have x64.
### Description
Removing `docker_base_image` parameter and variables. From the Cuda
Packaging pipeline.
### Motivation and Context
Since the docker image is hard coded in the
`onnxruntime/tools/ci_build/github/linux/docker/inference/x86_64/default/cuda12/Dockerfile`
and
`onnxruntime/tools/ci_build/github/linux/docker/inference/x86_64/default/cuda11/Dockerfile`
This parameter and variable is no longer needed.
### Description
Do not allow clearing Android logs if the emulator is not running
### Motivation and Context
Previously the Clearing Android logs step stuck until the pipeline
timeout. If one of the previous steps failed.
### Description
- TensorRT 10.2.0.19 -> 10.3.0.26
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Description
<!-- Describe your changes. -->
### Motivation and Context
We couldn't get enough A100 agent time to finish the jobs since today.
The PR makes the A100 job only runs in main branch to unblock other PRs
if it's not recovered in a short time.
### Description
<!-- Describe your changes. -->
The xcframework now uses symlinks to have the correct structure
according to Apple requirements. Symlinks are not supported by nuget on
Windows.
In order to work around that we can store a zip of the xcframeworks in
the nuget package.
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Fix nuget packaging build break
### Description
* Fix migraphx build error caused by
https://github.com/microsoft/onnxruntime/pull/21598:
Add a conditional compile on code block that depends on ROCm >= 6.2.
Note that the pipeline uses ROCm 6.0.
Unblock orttraining-linux-gpu-ci-pipeline and
orttraining-ortmodule-distributed and orttraining-amd-gpu-ci-pipeline
pipelines:
* Disable a model test in linux GPU training ci pipelines caused by
https://github.com/microsoft/onnxruntime/pull/19470:
Sometime, cudnn frontend throws exception that cudnn graph does not
support a Conv node of keras_lotus_resnet3D model on V100 GPU.
Note that same test does not throw exception in other GPU pipelines. The
failure might be related to cudnn 8.9 and V100 GPU used in the pipeline
(Amper GPUs and cuDNN 9.x do not have the issue).
The actual fix requires fallback logic, which will take time to
implement, so we temporarily disable the test in training pipelines.
* Force install torch for cuda 11.8. (The docker has torch 2.4.0 for
cuda 12.1 to build torch extension, which it is not compatible cuda
11.8). Note that this is temporary walkround. More elegant fix is to
make sure right torch version in docker build step, that might need
update install_python_deps.sh and corresponding requirements.txt.
* Skip test_gradient_correctness_conv1d since it causes segment fault.
Root cause need more investigation (maybe due to cudnn frontend as
well).
* Skip test_aten_attention since it causes assert failure. Root cause
need more investigation (maybe due to torch version).
* Skip orttraining_ortmodule_distributed_tests.py since it has error
that compiler for torch extension does not support c++17. One possible
fix it to set the following compile argument inside setup.py of
extension fused_adam: extra_compile_args['cxx'] = ['-std=c++17'].
However, due to the urgency of unblocking the pipelines, just disable
the test for now.
* skip test_softmax_bf16_large. For some reason,
torch.cuda.is_bf16_supported() returns True in V100 with torch 2.3.1, so
the test was run in CI, but V100 does not support bf16 natively.
* Fix typo of deterministic
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Description
- Update pipelines to use QNN SDK 2.25 by default
- Update ifdef condition to apply workaround for QNN LayerNorm
validation bug to QNN SDK 2.25 (as well as 2.24)
### Motivation and Context
Use the latest QNN SDK
