### Description
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As title.
### Motivation and Context
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Added for yolov8 model missing operator support.
https://github.com/microsoft/onnxruntime/issues/17654
Now the model support info looks like:
_CoreMLExecutionProvider::GetCapability, number of partitions supported
by CoreML: 3 number of nodes in the graph: 233 number of nodes supported
by CoreML: 230_
(only missing 3 concat op support due to input 3d shape is not currently
support in CoreML EP Concat).
---------
Co-authored-by: rachguo <rachguo@rachguos-Mini.attlocal.net>
Co-authored-by: rachguo <rachguo@rachguos-Mac-mini.local>
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
### Description
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Build ORT-training packaging pipeline for CUDA 12.2
### Motivation and Context
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This will help any customer using CUDA 12 and would not need to build
ORT-training from source
Test run:
https://dev.azure.com/aiinfra/Lotus/_build/results?buildId=382993&view=logs&s=130be951-c2f3-5601-5709-434b5e50ddb0
### Description
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### Motivation and Context
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### Description
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### Motivation and Context
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Recent PyTorch breaks DORT CI and [a
patch](https://github.com/pytorch/pytorch/pull/113697) has been merged
into PyTorch main. In order to update DORT's CI, we made dummy change in
this PR.
### Description
It causes our "NPM Packaging Pipeline" to fail.
### Motivation and Context
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### Description
Always run emsdk_env.sh before build.py, even when ccache is disabled
This is a follow up to #18434. That PR didn't handle the case when
ccache was disabled.
This also set the Path variable for the downloaded libraries.
### Description
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### Motivation and Context
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### Description
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1. Introduce MoE CUDA op to ORT based on FT implementation.
2. Upgrade cutlass to 3.1.0 to avoid some build failures on Windows.
Remove patch file for cutlass 3.0.0.
3. Sharded MoE implementation will come with another PR
limitation: __CUDA_ARCH__ >= 700
### Motivation and Context
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### Description
add CI steps to log info for test failure investigating.
Currently Web CI is marked as 'optional'. This change adds some script
to dump debug info for investigating the random test failure
### Description
Make all build_wasm tasks (NPM packaging and post merge)run on Linux.
Enable web gpu test in npm package pipeline too.
### Motivation and Context
Even on Windows, build_wasm is running in cygwin.
So, it could save a lot of time to run it on Linux.
### Description
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Set DML package name correctly so the build doesn't try and include mobile targets.
### Motivation and Context
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Fix packaging pipeline.
### Description
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Fix bad delegates.
Add script to detect mismatch, and run in CI and when creating nuget
package.
Ignore whitespace when looking at the diff to the .cs file as
clang-format ran.
### Motivation and Context
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#18363
### Description
Only one of "--cuda_version" and "--cuda_home" is needed. If they were
both specified, the first one will take precedence. Since we download
cuda SDKs on-the-fly now, the machines will not need to have a
preinstalled CUDA SDK therefore will not have VS-CUDA integration
extension. Therefore the "--cuda_version" flag will not work. This PR
deletes such usages.
Related PR: #15915
### Description
This PR fixes the TypeScript type check.
Previously, when I use esbuild to replace webpack (#17745), typescript
typecheck was disabled. This causes a few TypeScript type error checked
in into the code base. This PR fixes the followings:
- Use "Node16" as default "module" value in tsconfig.json, because in
TypeScript v5, `(module == "ES2015" && moduleResolution == "Node16")` is
an invalid combination.
- Set `noUnusedParameters` to true as default. in web override it to
false because multiple code need to be updated ( a following-up PR will
do this )
- set correct project file for 'web/lib/**/*.ts' for ESLint (otherwise
WebGPU types are not populated correctly)
- fix type error in file js/web/lib/wasm/jsep/webgpu/program-manager.ts
- upgrade "@webgpu/types" to latest to fix type error in file
js/web/lib/wasm/jsep/backend-webgpu.ts
- add package script "prebuild" for web to run tsc type check
- add type check in CI yml file
### Description
1. Add a build validation for Linux ARM64/ARM32 cross-compile to catch
issues listed in #18195 .
2. Revert eigen's commit id back to what we had before.
### Motivation and Context
To catch cross-compile issues.
Added a TODO item for fixing the compile warnings in Linux ARM32 build: AB#21639
### Description
Add the pool definition in 2 stages even the pool is Microsoft-Hosted
Pool.
### Motivation and Context
Recently, in Nuget pipeline, when we click the Stages to Run
It always pops up
```
Encountered error(s) while parsing pipeline YAML:
Could not find a pool with ID 5206. The pool does not exist or has not been authorized for use. For authorization details, refer to https://aka.ms/yamlauthz.
Could not find a pool with ID 5206. The pool does not exist or has not been authorized for use. For authorization details, refer to https://aka.ms/yamlauthz.
```
1. Now we use a released version of ONNX, so we can directly download a
prebuilt package from pypi.org. We do not need to build one from source.
2. Update protobuf python package's version to match the C/C++ version
we are using.
3. Update tensorboard python python because the current one is
incompatible with the newer protobuf version.
### Description
Add CI changes for #18287
Install onnx explicitly to pass windows GPU+dml stage.
### Motivation and Context
'eigen-3.4' was refering to a branch, not to a tag. There is now an
Eigen 3.4.1 on that branch, and thus the hash has changed.
See
https://github.com/microsoft/onnxruntime/issues/18286#issuecomment-1793683416
### Description
Update the C# nuget build infrastructure to make building a test nuget
package more user friendly and to simplify
- Remove usage of dotnet and msbuild in CIs
- was temporary requirement until .net 6 MAUI was added to the released
Visual Studio
- remove SelectedTargets property and its usage
- Add property for excluding mobile targets
- generally we exclude based on the nuget package name
- can now specify `/p:IncludeMobileTargets=false` on the command line to
force exclusion
- support building test package using build.py `--build_nuget` better
- limit inclusion of xamarin targets as building with them requires a
lot more infrastructure
- use msbuild directly if xamarin targets are included. use dotnet
otherwise.
- remove quoting of property values as it doesn't appear to be necessary
and breaks when msbuild is being used
- add infrastructure to be able to pack the nuget package on linux with
`dotnet pack`
- `nuget pack` is not user friendly as-per comments in changes
- requires stub csproj to provide the nuspec path
- Remove netstandard1.0 targets from nuspec
- we removed support from the actual bindings previously
- Remove usage of nuget-staging directory when creating nuget package on
linux
- the nuspec file element has a fully qualified path for a source file
so there is no obvious benefit to copying to a staging directory prior
to packing
### Motivation and Context
Address issues with 1P users trying to create test nuget packages
locally.
Long overdue cleanup of CI complexity.
### Description
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Update XNNPACK to latest version
- adds fp16 kernels and various other improvements
- requires pthreadpool update as well
Most code updates in the XNNPACK EP are to adjust to the new XNNPACK API
- 'setup' is split into 'reshape' and 'setup'
- some ops use a workspace buffer
- copied workspace allocation from XNNPACK unit test code
- some suffixes changed
Added wrapper for XNNPACK caches to base XNNPACK EP kernel
- simplifies usage
- XNNPACK split out the code and weights caches, but the code cache
isn't currently usable via the public API
- we could use the internal types if we think it's required for
performance reasons. non-trivial though as we'd need to propagate ifdef
values from the XNNPACK build up to the ORT build.
- using XNNPACK internals would also mean we would not be able to
support using a pre-build XNNPACK package
- not an issue currently
Fixed opset registration for internal NHWC domain
- was not being tied to the ONNX version, so nodes inserted by layout
transformation had the incorrect opset
- a number of other places needed updating once this issue was fixed
Remove support for NCHW Resize from XNNPACK EP so it's NHWC only
- we only supported NCHW for fp32,
- doing so adds complexity in multiple places (XNNPACK EP kernel
implementation, layout transformation and transpose optimization)
- unclear if that complexity provides any benefit. can add back if
required by production scenario
### Motivation and Context
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We're looking at enabling fp16 support for CoreML and NNAPI. If we do
that we need a good fallback story if the CPU EP will be used. The
XNNPACK fp16 kernels will hopefully provide that.
NOTE: This PR doesn't add fp16 support to the XNNPACK EP kernels. That
can be done as required in separate EPs and should be relatively simple
to do.
### Description
Retry 3 times at most if the web test fails.
### Motivation and Context
Web GPU tests are not stable.
From this link, we could find these ort-web tests are all in top 10
failing tasks.
https://dev.azure.com/onnxruntime/onnxruntime/_pipeline/analytics/stageawareoutcome?definitionId=161&contextType=build.
Generally, it could pass by manually rerunning it.
So, enable it to rerun automatically.
These test steps duration isn't long. So, it won't take too long to
retry.
### Description
Disable ccache for DML. This change is similar to #18104. Now the DML
build job is having the same timeout issue. I don't know why. But
disabling ccache probably would help.
### Description
Update batch file to set PATH for Cuda with TRT
### Motivation and Context
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### Description
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### Motivation and Context
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This reverts commit 99b8dcaae2.
### Description
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### Motivation and Context
Restore the dml stage in windows GPU pipeline.
Agent issue is solved by adding Feature.DisableGpuDriver in pool
properties.
### Description
Version 41.0.0 currently used has vulnerabilities.
### Motivation and Context
See [Vulnerable OpenSSL included in cryptography
wheels](https://github.com/advisories/GHSA-v8gr-m533-ghj9)
### Description
Motivation for this PR is reducing CI test time by removing unnecessary
tests from the pipelines.
Following changes are for reducing test time in pipelines:
- Skip CPU model tests in GPU builds. Training CIs run these tests as a
sanity check. There is no direct training code being tested in these
pipelines, furthermore, CPU tests are being run in CPU pipelines so no
need to run them again in GPU builds and block the GPU VM. This change
reduces testing time by 20-25 mins in all training GPU pipelines.
- Delete debug package building pipeline for linux training packages.
This was required by compiler team at some point but there have been 0
downloads of these packages.
### Motivation and Context
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### Description
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### Motivation and Context
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### Description
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### Motivation and Context
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### Description
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### Motivation and Context
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