1. Move DML packaging pipelines to aiinfra-dml-winbuild machine pool
2. Delete
tools/ci_build/github/azure-pipelines/templates/windowsai-nuget-build.yml
because the pipeline has been migrated to Onebranch. I monitored it for
months, it worked well.
### Description
support building xnnpack for IOS
### Motivation and Context
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- If it fixes an open issue, please link to the issue here. -->
### Description
<!-- Describe your changes. -->
Fix document generation CI. It's not currently updating the docs as
we're skipping the tests, which is the invocation of build.py that would
have generated the documentation.
Setup specific task to generate documentation for greater clarity.
### 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. -->
Operator kernel documentation is not getting updated and is now out of
date.
### Description
Updates naming scheme for docker images built by the EP Perf pipeline.
Specifically, the docker image name is no longer based on the branch
name.
### Motivation and Context
The docker image name used by EP Perf pipeline is built from the branch
name. This makes the pipeline fail for branches with uppercase letters
because docker image names can only contain lower-case letters.
### Description
enabling on device training apis in the packaging pipelines.
### Motivation and Context
adding on device training flag so we can enable the on-device training
apis for Federated learning scenarios
Co-authored-by: Adam Louly <adamlouly@microsoft.com@orttrainingdev7.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
### Description
<!-- Describe your changes. -->
Use SAS Token to fix error` failed to perform copy command due to error:
no SAS token or OAuth token is present and the resource is not public`
Generate SAS Token of target data, add it into Key vault, and use it as
Pipeline Variable.
### Motivation and Context
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- If it fixes an open issue, please link to the issue here. -->
Co-authored-by: peixuanzuo <peixuanzuo@linmif39a000004.zvflicr54joexhdgnhvmxrxygg.phxx.internal.cloudapp.net>
### Description
<!-- Describe your changes. -->
ROCm CI build step takes more than one hour. Set parallel=16 when build
on ROCm CI to reduce build time.
### 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. -->
Co-authored-by: peixuanzuo <peixuanzuo@linmif39a000004.zvflicr54joexhdgnhvmxrxygg.phxx.internal.cloudapp.net>
Updates EP perf benchmarking scripts to upload new data with an improved table schema. In order to preserve compatibility with the current benchmarking pipeline, we still upload data that uses the old schema as well. These changes are required in order to improve data filtering capabilities and general UX in dashboards that visualize this data.
Details:
- EP names no longer hardcoded as columns for tables that store inference latency, session creation times, memory usage, and model/EP status.
- Add explicit branch, commit ID, and commit date columns to all tables
- Improvements to the docker image building scripts (simplify docker image build; support installing binary TensorRT packages)
- Remove use of deprecated DataFrame.append in favor of pandas.concat.
Record more info from the React Native CI E2E test. In particular, log the view hierarchy when exiting the test and dump logs from Android emulator to the build output.
### Description
updating the ptca image used in the nightly pipeline
Co-authored-by: Adam Louly <adamlouly@microsoft.com@orttrainingdev7.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
### Description
<!-- Describe your changes. -->
ROCm developers always need to build onnxruntime *whl with
`--enable_rocm_profiling`.
Add a ROCm dev python package pipeline which product *.whl with build
args `--enable_rocm_profiling`.
The dev *whl need to upload to azure storage and can get from
https://download.onnxruntime.ai/onnxruntime_nightly_rocm53.profiling.html
### 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. -->
`python setup.py develop` doesn't install PyTorch as a normal package in
site-packages anymore, and the user must stay at PyTorch's root
directory to call `import torch`. This will break LORT tests because
LORT tests contains `import torch` and are called outside PyTorch root
directory. To make PyTorch a normal package again, this PR build PyTorch
with `python setup.py install`.
### Description
<!-- Describe your changes. -->
Unit test with ROCm5.3 slower than ROCm5.2.3. Revert to ROCm5.2.3.
We will update to ROCm5.3 when the issue resloved by AMD.
### 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
supplement of #13248
Add PR trigger
https://learn.microsoft.com/en-us/azure/devops/pipelines/repos/github?view=azure-devops&tabs=yaml#pr-triggers
fix: master -> main
Testted with #13289#13292
NB:
the real pipeline is always triggered if the workflow yaml changed even
it's added in the path filter.
### 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. -->
Make sure the real pipeline not run in the backend.
### Description
<!-- Describe your changes. -->
1. Remove ROCm5.1.1 and ROCm5.2 from ROCm python package pipeline
2. Add ROCm5.3 to ROCm python package pipeline
pipeline:
https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=237172&view=results
### 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 warnings and enable dev mode for ROCm CI:
* Fix ROCm headers complaining "This file is deprecated. Use the header file from ..."
* Disable warning signed and unsigned compare for kernel explorer
* Fix unused and nondiscard warnings
* Enable dev mode for ROCm CI
* Walkaround error "unknown warning option '-Wno-nonnull-compare'" in kernel explorer by using '-Wno-unknown-warning-option' to ignore the unknown option
* Fix error "unused parameter 'mask'"
* Fix warning "instantiation of variable 'onnxruntime::rocm::Consts<float>::One' required here, but no definition is available", etc. Fixed by using C++17's inline (implied by constexpr) static initialization.
* Remove unused variable
* Add the missing `override` specifier
Update for ROCm CI before reland tunable GEMM #12853. This PR also update
composable kernel to use CMakes's HIP language support so that we can
mix C/C++ compiler with HIP compiler instead of locking to hip-clang
**Description**: This PR adds support for "XNNPACK EP" in ORTWeb and
changes the behavior of how ORTWeb deals with "backends", or "EPs" in
API.
**Background**: Term "backend" is introduced in ONNX.js to representing
a TypeScript type which implements a "backend" interface, which is a
similar but different concept to ORT's EP (execution provider). There
was 3 backends in ONNX.js: "cpu", "wasm" and "webgl".
When ORT Web is launched, the concept is derived to help users to
integrate smoothly. Technically, when "wasm" backend is used, users need
to also specify "EP" in the session options. Considering it may get
complicated and confused for users to figure out the difference between
"backend" and "EP", the JS API hide the "backend" concept and made a
mapping between names, backends and EPs:
"webgl" (Name) <==> "onnxjsBackend" (Backend)
"wasm" (Name) <==> "wasmBackend" (Backend) <==> "CPU" (EP)
**Details**:
The following changes are applied in this PR:
1. allow multi-registration for backends using the same name. This is
for use scenarios where both "onnxruntime-node" and "onnxruntime-web"
are consumed in a Node.js App ( so "cpu" will be registered twice in
this scenario. )
2. re-assign priority values to backends. I give 100 as base to "cpu"
for node and react_native, and 10 as base to "cpu" in web.
3. add "cpu", "xnnpack" as new names of backends.
4. update onnxruntime wasm exported functions to support EP
registration.
5. update implementations in ort web to handle execution providers in
session options.
6. add '--use_xnnpack' as default build flag for ort-web
### Description
fix XNNPACK on WebAssembly SIMD.
Flag "-msimd128" need to be applied to every source file when compiling
WASM SIMD. Currently only a part of the source files are compiled with
this flag so we get inconsistent result for
`sizeof(xnn_f32_minmax_params)` because the type definition include a
`#ifdef` for `__wasm_simd128__`. The inconsistency causes writing
garbage data to a stack variable and eventually cause the crash.
XNNPACK libraries are C libraries so need to apply the build flags not
only to `CMAKE_CXX_FLAGS` but also to `CMAKE_C_FLAGS`.
### Description
<!-- Describe your changes. -->
fix migraphx ci pipeline failed problem.
Disabled MIGraphX pipeline now. It will be Enabled when this PR merge.
### 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
We fix iGPU Unit and Python tests with this PR
We add packaging pip pkg to build Many Linux DockerFile
### Motivation and Context
This change is required to make sure iGPU Unit Test/Python Tests with OV
are fixed
- If it fixes an open issue, please link to the issue here. -->
Co-authored-by: shamaksx <shamax.kshirsagar@intel.com>
Co-authored-by: mayavijx <mayax.vijayan@intel.com>
Co-authored-by: pratiksha <pratikshax.bapusaheb.vanse@intel.com>
Co-authored-by: pratiksha <mohsinx.mohammad@intel.com>
Co-authored-by: Sahar Fatima <sfatima.3001@gmail.com>
Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
Co-authored-by: nmaajidk <n.maajid.khan@intel.com>
Co-authored-by: Mateusz Tabaka <mateusz.tabaka@intel.com>
