### 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
Updating transformers package in test pipeline to fix a security
vulnerability.
### 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 absl and gtest to fix an ARM64EC build error
### Motivation and Context
We need to get an important fix into ORT.
The fix is:
8028a87c96
### Description
reuse EO pool in NPM pipeline.
### Motivation and Context
build_web_debug failed in onnxruntime-Win-CPU-2022 but it works in EO
pool.
Reuse EO pool to make the pipeline work now.
When I'm free, I'll try upgrading the chrome in the custom image.
Build onnxruntime.dll as arm64x
Added a .cmake file to generate a link repro of the onnxruntime.dll
during arm64 build. This provides us a directory containing all the
arm64 objs, def file and libs to link to when it is time to building
arm64x onnxruntime.dll during the arm64ec build by passing the
/machine:arm64x flag to the linker along with the arm64 artifacts.
If other dlls wanted to be built as x, setting the ARM64X_TARGETS
variable in the toplevel cmakelists.txt to include these other targets
is all that will be needed.
Added build_arm64x.bat as a wrapper for the multiple (rm64, then
arm64ec) cmake calls needed to build as arm64x.
AB#22533
### 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. -->
yolo-v8 model missing operator support.
---------
Co-authored-by: rachguo <rachguo@rachguos-Mini.attlocal.net>
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
### Description
- Update QNN CI Pipelines to use QNN SDK version 2.17.0
- **Print warning if unit test requires adjusted tolerance to pass**
- **Temporarily disable unloading QnnCpu.dll for windows x64 due to
crash when calling FreeLibrary**
- Enable fixed HTP tests
- QnnHTPBackendTests.LayerNorm1D_LastAxis_DynamicScale
- QnnHTPBackendTests.GlobalMaxPool_LargeInput2_u8
- QnnHTPBackendTests.ReduceSumS8Opset13_Rank5
- QnnHTPBackendTests.ReduceSumU8Opset13_Rank5_LastAxis
- QnnHTPBackendTests.WhereLargeDataBroadcastU8
- QnnHTPBackendTests.WhereLargeDataBroadcastTransformedU8
- Enabled fixed CPU tests
- QnnCPUBackendTests.Resize_DownSample_Linear_AlignCorners_scales
- Increased tolerance for HTP tests that are less accurate on QNN SDK
2.17.0
- QnnHTPBackendTests.AveragePool_CountIncludePad_HTP_u8
- QnnHTPBackendTests.AveragePool_AutopadSameUpper_HTP_u8
- QnnHTPBackendTests.AveragePool_AutopadSameLower_HTP_u8
- QnnHTPBackendTests.ConvU8U8S32_bias_dynamic_input
- QnnHTPBackendTests.ConvU8U8S32_bias_initializer
- QnnHTPBackendTests.ConvU8U8S32_large_input1_padding_bias_initializer
- QnnHTPBackendTests.LRNSize3
- QnnHTPBackendTests.LRNSize5
- QnnHTPBackendTests.MaxPool_Large_Input_HTP_u8
- QnnHTPBackendTests.MaxPool_LargeInput_1Pads
- QnnHTPBackendTests.Resize_DownSample_Linear_HalfPixel
- QnnHTPBackendTests.ResizeU8_2xLinearPytorchHalfPixel
- QnnHTPBackendTests.ResizeU8_2xLinearHalfPixel
- QnnHTPBackendTests.ResizeU8_2xLinearAlignCorners
- QnnHTPBackendTests.ResizeU8_2xLinearAsymmetric
- Disabled ONNX model tests
- averagepool_2d_ceil: Accuracy issues **only on Windows x64
QnnCpu.dll**
- Disabled QDQ model tests (onnx_test_runner)
- facedetection_op8_qdq: Accuracy issues
- Disabled CPU EP tests (these use QnnCpu.dll)
- ActivationOpTest.Relu: QNN SDK 2.17 Relu treats inf as FLT_MAX
- GemmOpTypedTests/0.TestGemmBroadcast: Inaccuracy when weight is
initializer and bias is not
- MathOpTest.MatMulFloatType "test padding and broadcast B > A":
Inaccuracy (**only linux**)
- Fix Gemm translation bugs in QNN EP:
- Do not skip processing of inputs that need to be transposed.
### Motivation and Context
- Allow testing with newest QNN SDK version
- Take advantage of improvements to enable new models.
### Description
To make the code more consistent. Now some TRT pipelines download TRT
binaries on-the-fly, while other TRT pipelines use a preinstalled
version. This PR make them the same.
### Description
<!-- Describe your changes. -->
Remove developement id and force codesign not required in the test macos
target.
### 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 failure happened in iOS_Full_xcframwork stage in
Zip-Nuget-Java-NodeJS packaging pipeline.
---------
Co-authored-by: rachguo <rachguo@rachguos-Mac-mini.local>
Add ACL as the DNNL runtime option for aarch64 platforms. Update
makefile and the python wheel build script.
### Description
<!-- Describe your changes. -->
Add ACL as the DNNL runtime option for aarch64 platforms. Update
makefile and the python wheel build script.
### 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 to enable the optimized ACL gemm kernels for dnnl execution
provider on aarch64 platform.
### Description
1. Add a new stage to download java tools from https://oss.sonatype.org
and publish them to pipeline artifact
2. Remove downloads in other jobs, they get the java tools from pipeline
artifact
3. consolidate final_java_testing stages.
### Motivation and Context
Reduce downloads to reduce the connection error like below.
```
--2023-11-28 07:16:31-- https://oss.sonatype.org/service/local/repositories/releases/content/org/junit/platform/junit-platform-console-standalone/1.6.2/junit-platform-console-standalone-1.6.2.jar
Resolving oss.sonatype.org (oss.sonatype.org)... 3.227.40.198, 3.229.50.23
Connecting to oss.sonatype.org (oss.sonatype.org)|3.227.40.198|:443... connected.
HTTP request sent, awaiting response... 502 Bad Gateway
2023-11-28 07:16:32 ERROR 502: Bad Gateway.
```
Reverts microsoft/onnxruntime#18413
there's a timing issue here. we eventually want to get this change
merged in but we need to update OSS onnx-tensorrt first.
### Description
Currently, the `drop-nuget` artifact only contains protoc.exe which is
also part of the `drop-extra` artifact.
### 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. -->
As title.
1. Add macos build as an optionally enabled arch for pod and changes to
exsiting build_ios_framework/assemble_c_pod scripts.
2. Enable macos build arch in ios packaging pipeline (currently for
variants other than Mobile) and check the output artifacts are correct.
3. Write MacOS Test Target scheme in the test app and integrate into ios
packaging CI testing pipeline.
Currently the changes only apply to onnxruntime-c pod. as the original
request was from ORT SPM which consumes the onnxruntime-c pod only as
the binary target. TODO: could look into adding macos platform to objc
pod as well.
### 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. -->
Enable macos platform support in cocoapods. and also potentially produce
binary target for enabling macos platform in SPM as well.
Replace https://github.com/microsoft/onnxruntime/pull/18334
---------
Co-authored-by: rachguo <rachguo@rachguos-Mac-mini.local>
Co-authored-by: rachguo <rachguo@rachguos-Mini.attlocal.net>
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
### Description
Update Azure-Pipelines-EO-Windows2022-aiinfra to
onnxruntime-win-CPU-2022 in Nuget_Package_CPU.
To make the debugging easier, use flex-downloadPipelineArtifact
### Motivation and Context
Azure-Pipelines-EO-Windows2022-aiinfra is using 1ES window-latest image.
The pipeline might be failed by unexpected upgrade.
Verified:
https://dev.azure.com/aiinfra/Lotus/_build/results?buildId=384425&view=results
### P.S.
I think we should replace all Azure-Pipelines-EO-Windows2022-aiinfra.
### 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. -->
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
<!-- Describe your changes. -->
Build ORT-training packaging pipeline for CUDA 12.2
### 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 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
PR #16051 introduced operator GemmFloat8 but the flags
DISABLE_FLOAT8_TYPES was missing in a couple of places. The PR addresses
that issue. That would allows the compilation on CUDA < 11.8.
### 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. -->
### 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. -->
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
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### 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.
### Description
<!-- Describe your changes. -->
Update usability checker and related infrastructure to support checking
models > 2GB.
- Add ability to set flag to keep initializers as external data
- we optimize the model as part of the checking so need to write out a
new copy.
- Handle issue with ONNX shape inferencing silently failing
- use API that supports large models but requires writing the model to a
new file
- automate cleanup of that copy of the model
### 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. -->
Allow analysis of LLMs to determine gaps for mobile usage.
---------
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
This also set the Path variable for the downloaded libraries.
### 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. -->
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
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### 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
<!-- Describe your changes. -->
Set DML package name correctly so the build doesn't try and include mobile targets.
### 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. -->
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
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
#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
