### Description
Updates the version of QNN SDK used by CI Pipelines. Enables some tests
fixed by 2.14.1, but still need to look into Resize in a separate PR.
### Motivation and Context
Test latest version of QNN SDK.
### Description
Update the Web CI pipelines:
- remove parameter 'WebTemplate': Since we start to support webgpu, the
linux-web-ci.yml is no longer working and it is already out-of-date.
remove this file and parameter so that we always use win-web-ci.yml
- change flag `RunWebGpuTests` into 2 flags, for release and debug.
Currently for CI we only run webgpu tests on release build. But we want
to have the capability to run webgpu tests on debug build as well.
After this PR is merged, next step is to enable both Debug and Release
webgpu tests in PostMerge pipeline.
### Description
[Successful pipeline
run](https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=1123141&view=results)
Added flag to build the training artifacts & updated the
pull-wasm-artifacts script to pull the training artifacts as well.
Bundled into this PR are minor formatting fixes + naming fixes.
### Motivation and Context
[This PR](https://github.com/microsoft/onnxruntime/pull/16521) extended
the WASM API wrapper to build training WASM artifacts as well.
The ORT training WASM artifacts are required to support ORT training web
bindings.
### Description
The yaml file changes made in #16050 do not really work. Currently the
pipeline is failing with error:
```
Error: Not found SourceFolder: C:\a\_work\5\b\RelWithDebInfo\RelWithDebInfo\nuget-artifacts\onnxruntime-win-x64\lib
```
So, I will revert the yaml changes first to bring the pipeline back.
Some people are waiting for our nightly packages.
Test run:
https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=351104&view=results
### Motivation and Context
### Description
install dotnet 6.0 in the docker image.
move C# build and test into docker.
### Motivation and Context
### Note
The Unit tests and Symbolic shape infer's migration will be in another
PR.
### Description
1. Update docker files and their build instructions.
ARM64 and x86_64 can use the same docker file.
2. Upgrade Linux CUDA pipeline's base docker image from CentOS7 to UBI8
AB#18990
### Description
<!-- Describe your changes. -->
Remove onnxruntime_test_all from emulator once tests have finished as
it's 1.2GB and takes up too much space given the 2GB maximum partition
size for the emulator.
Side issue is the java build isn't able to strip the binaries in the
java apk which causes that to be 800MB (exceeding the 2GB max). That may
require an Android/Gradle fix as I don't think we can hardcode an NDK
version into our build files.
https://issuetracker.google.com/issues/237187538?pli=1
### 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 Android CI build failures for
### Description
There are 8 cu files under [flash
attention](https://github.com/microsoft/onnxruntime/tree/main/onnxruntime/contrib_ops/cuda/bert/flash_attention)
and 4 cu files under [cutlass
fmha](https://github.com/microsoft/onnxruntime/tree/main/onnxruntime/contrib_ops/cuda/bert/cutlass_fmha)
need a lot of memory to compile.
Previously, the default value is same as parallel - number of CPU cores.
Standard_NC4as_T4_v3 has 4 CPUs and 28 GB memory, and we launched 16
nvcc threads in total (4 parallel jobs, and 4 nvcc threads per job).
Each thread might take 4 GB on average (peak is around 6GB, but threads
are not started at same time). OOM happens since 16 threads might need
close to 64 GB in worst case. When build machine has 64GB or larger
memory, OOM is rare.
Here we set a proper nvcc --threads based on available memory to avoid
OOM.
### Motivation and Context
Fix `Python Packaging Pipeline (Training Cuda 11.8)`
### Description
<!-- Describe your changes. -->
As title.
### 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. -->
Now we have multiple data types that we want to disable for minimal
build and to reduce binary size. may be worth adding an argument in the
build script for specifying that.
Also for fp16 type stuff, it may be too restrict to disable that for all
minimal build.
---------
Co-authored-by: rachguo <rachguo@rachguos-Mac-mini.local>
### Description
Add the compiler cache in linux GPU tensorRT CI.
Save about 30 minutes in the GPU machine. (52 minutes -> 24 minutes)
PS.
There're only white-space differences in the dockerfile.
### 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
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Get the latest gcc 12 by default
---------
Co-authored-by: Changming Sun <chasun@microsoft.com>
### 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. -->
- fix issue with handling string input
- set minSdkVersion
- otherwise defaults to 19 which we don't support and the build breaks
- comment out the debug logging hook
- enabling it breaks the Android native logging
- can be enabled if you need to debug C# code
- update test data tools to allow creating input data for raw file
contents (e.g. audio) and from strings (e.g. auth token value)
- fix some warnings
### 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. -->
Improve test setup
### Description
* Integrate `trt_multi_gpu` test stage in ORT post merge CI (Win-2xA10
vm)
* Deprecate Linux MultiGPU TRT CI (This vm will be deprecated soon)
* Add multi gpu support to existing C# test cases
* Deprecate unfunctional flag `--enable_multi_device_tests`
### Motivation and Context
* Two contexts of replacing Linux MultiGPU TRT CI:
* Flag `--enable_multi_device_tests` is not functional, which cannot
detect issues like #17036
* The Linux-2xM60 VM of this CI pool is about to be deprecated 9/6/23.
Need to enable this test in other dualGPU vm pool.
### Description
Add single test step in Window GPU Reduced Ops workflow
### Motivation and Context
The old workflow's building and testing were running in one command.
In PR #17263, the test step was removed by mistake.
So, readd it.
How to consolidate the test step is in consideration.
### 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
Unify some pre-build common steps.
### Motivation and Context
In the long run, other devs should only focus on build option and test
commands.
It would reduce mistakes and maintenance cost to use common template
steps.
There will be more PRs to achieve the goal.
### Description
1. Add a CUDA 12.x pipeline
2. Improve install_third_party_deps.ps1: avoid using Start-process.
Directly call the command instead.
### Motivation and Context
Since our official packages and all CI pipelines still use CUDA 11.x, we need extra pipelines to validate our source code level compatibility with CUDA 12.x. BTW for sure the prebuilt binaries in our release page are not compatible with CUDA 12.x. Do not report bugs for that.
AB#15152
### Description
1. Fix python packaging test pipeline. There was an error in
tools/ci_build/github/linux/run_python_tests.sh that it installed a
released version of onnxruntime python package from pypi.org to run the
test. Supposedly it should pick one from the current build.
2. Refactor the pipeline to allow choosing cmake build type from the web
UI when manually trigger a build. Now this feature is for Linux only.
Because I don't want to change too much when we are about to cut a
release branch. After that I will expand it to all platforms. This
feature is useful for debugging pipeline issues, also, we may consider
having a nightly pipeline to run all tests in Debug mode which may catch
extra bugs because in debug mode we can enforce range check.
Test run:
https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=342674&view=results
### Motivation and Context
Currently the pipeline has a crash error.
AB#18580
### Description
Updates NuGet packaging pipelines to use the correct license name.
### Motivation and Context
The license name changed. See https://github.com/microsoft/onnxruntime/pull/17170
The QNN_Windows_Nuget and Zip-Nuget-* pipelines will not run without this update.
### Description
Move DML build job's Prefast task to a CPU machine pool which has larger
memory. The current one runs out of memory in every run.
### Motivation and Context
To fix the broken python packaging pipeline.
- 'js/web'
- 'js/node'
- 'onnxruntime/core/providers/js'
is updated
### 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
Adds continuous integration and pull-requestion validation triggers
directly to the yaml file for the Windows x64 QNN CI Pipeline.
### Motivation and Context
There have been various unit tests failures that break the
QNN_Windows_Nuget pipeline, which builds QNN EP for Windows x64. This PR
ensures that QNN EP is built and tested on a Windows x64 image for every
pull request.
### 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
The onnxruntime-CI-nightly-ort-pipeline encounters occasional failures
due to synchronization discrepancies between the ACPT nightly image and
the repository. We are addressing this by executing tests using the
commit ID associated with the ort build within the ACPT image.
---------
Co-authored-by: Adam Louly <adamlouly@microsoft.com@orttrainingdev9.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
### Description
1. Clean up cmake files. Remove some unused code
2. Remove the "Semmle" task from
tools/ci_build/github/azure-pipelines/templates/win-ci.yml. Semmle is
deprecated and replaced by CodeQL.
### Description
- Disables Resize tests that use nearest mode on QNN CPU.
- Fixes indentation problems on yaml for win x64 qnn pipeline.
### Motivation and Context
The QNN windows Nuget pipeline does not run due to failing unit tests on
Windows x64. These tests should not be enabled until we determine the
rounding behavior of QNN's ResizeNearestNeighbor operator.
