### Description
<!-- Describe your changes. -->
TensorRT 10.8 zip file has suffix of cuda-12.8, not 12.6
### 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. -->
PIX Capture tool requires 'present' to end a frame capture. ORT doesn't
have rendering work so no 'present' happens.
To avoid endless waiting for PIX capture tool, this PR added a blank
surface and 'present' on it in each session run.
The surface is created in WebGPU ep constructor and closed in WebGPU ep
destructor.
### 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. -->
### Description
1. Enable VCPKG flag in Windows CPU CI build pipelines.
2. Increased the min supported cmake version from 3.26 to 3.28. Because
of it, drop the support for the old way of finding python by
"find_package(PythonLibs)". Therefore, in build.py we no longer set
"PYTHON_EXECUTABLE" cmake var when doing cmake configure.
3. Added "xnnpack-ep" as a feature for ORT's vcpkg config.
4. Added asset cache support for ORT's vcpkg build
5. Added VCPKG triplet files for Android build.
6. Set VCPKG triplet to "universal2-osx" if CMAKE_OSX_ARCHITECTURES was
found in cmake extra defines.
7. Removed a small piece of code in build.py, which was for support CUDA
version < 11.8.
8. Fixed an issue that CMAKE_OSX_ARCHITECTURES sometimes got specified
twice when build.py invoked cmake.
9. Added more model tests to Android build. After this change, we will
test all ONNX versions instead of just the latest one.
10. Fixed issues that are related to build.py's "--build_nuget"
parameter. Also, enable the flag in most Windows CPU CI build jobs.
11. Removed a restriction in build.py that disallowed cross-compiling
Windows ARM64 nuget package on Windows x86.
### Motivation and Context
Adopt vcpkg.
### Description
* Update rocm to 6.3.2;
* Remove dependency on cupy (which does not support rocm 6.3 yet).
### 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 env to cuda 12.6/ubuntu 22.04 (ubuntu 20.04 uses outdated py38
by default)
* Clean old trt8.6 test config
### 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. -->
There is a crash in the WebGPU CI pipeline. It crashed at process
shutdown when unloading onnxruntime_pybind11_state.pyd.
Here is the callstack:
```
dxil.dll!DxcSwapThreadMalloc() Unknown
dxil.dll!DxcThreadMalloc::DxcThreadMalloc(struct IMalloc *) Unknown
dxil.dll!DxcValidator::Release(void) Unknown
[Inline Frame] webgpu_dawn.dll!Microsoft::WRL::ComPtr<IDxcValidator>::InternalRelease() Line 235 C++
[Inline Frame] webgpu_dawn.dll!Microsoft::WRL::ComPtr<IDxcValidator>::{dtor}() Line 290 C++
webgpu_dawn.dll!dawn::native::d3d12::Backend::`scalar deleting destructor'(unsigned int) C++
webgpu_dawn.dll!`eh vector destructor iterator'(void * ptr, unsigned __int64 size, unsigned __int64 count, void(*)(void *) destructor) C++
webgpu_dawn.dll!dawn::native::InstanceBase::~InstanceBase() Line 197 C++
webgpu_dawn.dll!dawn::native::InstanceBase::`scalar deleting destructor'(unsigned int) C++
webgpu_dawn.dll!dawn::native::InstanceBase::DeleteThis() Line 218 C++
ucrtbase.dll!<lambda>(void)() Unknown
ucrtbase.dll!__crt_seh_guarded_call<int>::operator()<<lambda_7777bce6b2f8c936911f934f8298dc43>,<lambda>(void) &,<lambda_3883c3dff614d5e0c5f61bb1ac94921c>>() Unknown
ucrtbase.dll!_execute_onexit_table() Unknown
onnxruntime_pybind11_state.pyd!dllmain_crt_process_detach(const bool is_terminating) Line 182 C++
> onnxruntime_pybind11_state.pyd!dllmain_dispatch(HINSTANCE__ * const instance, const unsigned long reason, void * const reserved) Line 293 C++
ntdll.dll!LdrpCallInitRoutine() Unknown
ntdll.dll!LdrShutdownProcess() Unknown
ntdll.dll!RtlExitUserProcess() Unknown
kernel32.dll!ExitProcessImplementation() Unknown
ucrtbase.dll!exit_or_terminate_process() Unknown
ucrtbase.dll!common_exit() Unknown
python312.dll!00007ff9cab3ec8d() Unknown
python312.dll!00007ff9cab3efbf() Unknown
python312.dll!00007ff9cab3edee() Unknown
python312.dll!00007ff9cab57f4c() Unknown
python312.dll!00007ff9cab57579() Unknown
python312.dll!00007ff9cab573be() Unknown
python312.dll!00007ff9cab5729b() Unknown
python312.dll!00007ff9cabacfcb() Unknown
python312.dll!00007ff9cabacd7d() Unknown
python312.dll!00007ff9cab99e2d() Unknown
python.exe!00007ff78a641230() Unknown
kernel32.dll!BaseThreadInitThunk() Unknown
ntdll.dll!RtlUserThreadStart() Unknown
```
It might be because the destruct order of some global variables was
wrong. I saw DX DLLs were getting destroyed earlier than the WebGPU
instance in our code in onnxruntime_pybind11_state.pyd.
### Description
Add details about how to access the BrowserStack logs
### Motivation and Context
- browserstack link on its own is confusing to people who don't have
context.
Let me know if you have suggestions to make the text more clear or
informative
NDK has two toolchain cmake files as you can see in
https://android.googlesource.com/platform/ndk/+/refs/heads/main/build/cmake
By default NDK use the legacy one for providing the best compatibility.
We don't need to. This PR changes to use the new one.
The new toolchain cmake file uses standard cmake flags like
CMAKE_ANDROID_RTTI to control C++ features.
### Description
- Add new build flag in build.py to build onnxruntime.dll supporting
interfaces for all primary EPs( QNN, TensoRT, OpenVino, VitisAI).
- Modify onnxruntime.dll/onnxruntime_shared.dll build settings to remove
dependency of IHV SDK Toolset to be installed on the system.
- Change CMake variables to be explicit when building EP vs ORT. e.g.
onnxruntime_USE_TENSORRT vs onnxruntime_USE_TENSORRT_INTERFACE, to
evolve the build system to build ORT independent of EPs.
### Motivation and Context
Changes in the build system required to evolve the repo to build the
components independently while removing unnecessary dependencies
---------
Co-authored-by: Lei Cao <jslhcl@gmail.com>
Co-authored-by: Karim Vadsariya <kvadsariya@microsoft.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
### Description
This PR updates the version of Dawn to
`b9b4a37041dec3dd62ac92014a6cc1aece48d9f3` (ref:
[chromium](67f86f01dd/DEPS (399)))
in the `deps.txt` file.
The newer version of Dawn includes the previous changes from dawn.patch
so that we can remove the patch file.
There is a little interface changes and code is updated correspondingly.
### Description
Enable coremltools for Linux build. In order to do this, I did:
1. Add uuid-devel to the Linux images and regenerate them.
2. Patch the coremltools code a little bit to add some missing header
files.
### Motivation and Context
To make the code simpler. Later on I will create another PR to remove
the COREML_ENABLE_MLPROGRAM C/C++ macro.
Also, after this PR I will bring more changes to
onnxruntime_provider_coreml.cmake to make it work with vcpkg.
### Description
- Makes QNN EP a shared library **by default** when building with
`--use_qnn` or `--use_qnn shared_lib`. Generates the following build
artifacts:
- **Windows**: `onnxruntime_providers_qnn.dll` and
`onnxruntime_providers_shared.dll`
- **Linux**: `libonnxruntime_providers_qnn.so` and
`libonnxruntime_providers_shared.so`
- **Android**: Not supported. Must build QNN EP as a static library.
- Allows QNN EP to still be built as a static library with `--use_qnn
static_lib`. This is primarily for the Android QNN AAR package.
- Unit tests run for both the static and shared QNN EP builds.
### Detailed changes
- Updates Java bindings to support both shared and static QNN EP builds.
- Provider bridge API:
- Adds logging sink ETW to the provider bridge. Allows EPs to register
ETW callbacks for ORT logging.
- Adds a variety of methods for onnxruntime objects that are needed by
QNN EP.
- QNN EP:
- Adds `ort_api.h` and `ort_api.cc` that encapsulates the API provided
by ORT in a manner that allows the EP to be built as either a shared or
static library.
- Adds custom function to transpose weights for Conv and Gemm (instead
of adding util to provider bridge API).
- Adds custom function to quantize data for LeakyRelu (instead of adding
util to provider bridge API).
- Adds custom ETW tracing for QNN profiling events:
- shared library: defines its own TraceLogging provider handle
- static library: uses ORT's TraceLogging provider handle and existing
telemetry provider.
- ORT-QNN Packages:
- **Python**: Pipelines build QNN EP as a shared library by default.
User can build a local python wheel with QNN EP as a static library by
passing `--use_qnn static_lib`.
- **NuGet**: Pipelines build QNN EP as a shared library by default.
`build.py` currently enforces QNN EP to be built as a shared library.
Can add support for building a QNN NuGet package with static later if
deemed necessary.
- **Android**: Pipelines build QNN EP as a **static library**.
`build.py` enforces QNN EP to be built as a static library. Packaging
multiple shared libraries into an Android AAR package is not currently
supported due to the added need to also distribute a shared libcpp.so
library.
### 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. -->
### Description
Moving Android E2E test steps from Mac-OS13 to unbunt22.04
### Motivation and Context
Deduced the dependency on MacOS, which is deprecating the x64 version.
1. Update onnxruntime binary size checks ci pipeline's docker image. Use
a different docker image that is not manylinux based. The new one is
smaller.
2. Add flatbuffers tools/ci_build/requirements/pybind/requirements.txt
3. Delete
tools/ci_build/github/azure-pipelines/py-package-build-pipeline.yml. The
pipeline was for generating packages for Olive, but it went unused. And
the content is highly duplicated with our official python packaging
pipeline.
4. A lot of YAML files reference pypa/manylinux git repo but do not use
it. This PR removes the references.
Use ruff as the code formatter in place of black and isort since it is
much faster, and as projects like PyTorch and ONNX have adopted ruff
format as well.
This PR include only auto-fixed changes in formatting.
### Description
This PR allows WebGPU EP to be built with Emscripten for WebAssembly,
Including:
- cmake build files update to support correct setup for Emscripten.
- code changes to fix build breaks for wasm
- change in Web CI pipeline to add a build-only target for wasm with
`--use_webgpu`.
### Description
Docker's buildx has four different drivers:
1. default
2. docker-container
3. kubernetes
4. remote
Now we are using "docker-container". This PR change it to the default
driver, because the container driver needs to fetch an image from docker
hub which is no longer free and has a rate limit.
Add support to mainline Onnxruntime of changes from the ROCm Team's changes
### Motivation and Context
Various bugfixes, and changes added between ROCm 6.2 and 6.3 that
haven't been upstreamed yet to mainline
---------
Co-authored-by: Yueqing Zhang <yuz75@Pitt.edu>
Co-authored-by: Yueqing Zhang <yueqingz@amd.com>
Co-authored-by: Jeff Daily <jeff.daily@amd.com>
Co-authored-by: Artur Wojcik <artur.wojcik@outlook.com>
Co-authored-by: Ted Themistokleous <tedthemistokleous@amd.com>
Co-authored-by: Xinya Zhang <Xinya.Zhang@amd.com>
Co-authored-by: ikalinic <ilija.kalinic@amd.com>
Co-authored-by: sstamenk <sstamenk@amd.com>
Bumps [ruff](https://github.com/astral-sh/ruff) from 0.5.4 to 0.9.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/astral-sh/ruff/releases">ruff's
releases</a>.</em></p>
<blockquote>
<h2>0.9.1</h2>
<h2>Release Notes</h2>
<h3>Preview features</h3>
<ul>
<li>[<code>pycodestyle</code>] Run
<code>too-many-newlines-at-end-of-file</code> on each cell in notebooks
(<code>W391</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15308">#15308</a>)</li>
<li>[<code>ruff</code>] Omit diagnostic for shadowed private function
parameters in <code>used-dummy-variable</code> (<code>RUF052</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15376">#15376</a>)</li>
</ul>
<h3>Rule changes</h3>
<ul>
<li>[<code>flake8-bugbear</code>] Improve
<code>assert-raises-exception</code> message (<code>B017</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15389">#15389</a>)</li>
</ul>
<h3>Formatter</h3>
<ul>
<li>Preserve trailing end-of line comments for the last string literal
in implicitly concatenated strings (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15378">#15378</a>)</li>
</ul>
<h3>Server</h3>
<ul>
<li>Fix a bug where the server and client notebooks were out of sync
after reordering cells (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15398">#15398</a>)</li>
</ul>
<h3>Bug fixes</h3>
<ul>
<li>[<code>flake8-pie</code>] Correctly remove wrapping parentheses
(<code>PIE800</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15394">#15394</a>)</li>
<li>[<code>pyupgrade</code>] Handle comments and multiline expressions
correctly (<code>UP037</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15337">#15337</a>)</li>
</ul>
<h2>Contributors</h2>
<ul>
<li><a
href="https://github.com/AntoineD"><code>@AntoineD</code></a></li>
<li><a
href="https://github.com/InSyncWithFoo"><code>@InSyncWithFoo</code></a></li>
<li><a
href="https://github.com/MichaReiser"><code>@MichaReiser</code></a></li>
<li><a href="https://github.com/calumy"><code>@calumy</code></a></li>
<li><a
href="https://github.com/dcreager"><code>@dcreager</code></a></li>
<li><a
href="https://github.com/dhruvmanila"><code>@dhruvmanila</code></a></li>
<li><a href="https://github.com/dylwil3"><code>@dylwil3</code></a></li>
<li><a href="https://github.com/sharkdp"><code>@sharkdp</code></a></li>
<li><a href="https://github.com/tjkuson"><code>@tjkuson</code></a></li>
</ul>
<h2>Install ruff 0.9.1</h2>
<h3>Install prebuilt binaries via shell script</h3>
<pre lang="sh"><code>curl --proto '=https' --tlsv1.2 -LsSf
https://github.com/astral-sh/ruff/releases/download/0.9.1/ruff-installer.sh
| sh
</code></pre>
<h3>Install prebuilt binaries via powershell script</h3>
<pre lang="sh"><code>powershell -ExecutionPolicy ByPass -c "irm
https://github.com/astral-sh/ruff/releases/download/0.9.1/ruff-installer.ps1
| iex"
</code></pre>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md">ruff's
changelog</a>.</em></p>
<blockquote>
<h2>0.9.1</h2>
<h3>Preview features</h3>
<ul>
<li>[<code>pycodestyle</code>] Run
<code>too-many-newlines-at-end-of-file</code> on each cell in notebooks
(<code>W391</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15308">#15308</a>)</li>
<li>[<code>ruff</code>] Omit diagnostic for shadowed private function
parameters in <code>used-dummy-variable</code> (<code>RUF052</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15376">#15376</a>)</li>
</ul>
<h3>Rule changes</h3>
<ul>
<li>[<code>flake8-bugbear</code>] Improve
<code>assert-raises-exception</code> message (<code>B017</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15389">#15389</a>)</li>
</ul>
<h3>Formatter</h3>
<ul>
<li>Preserve trailing end-of line comments for the last string literal
in implicitly concatenated strings (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15378">#15378</a>)</li>
</ul>
<h3>Server</h3>
<ul>
<li>Fix a bug where the server and client notebooks were out of sync
after reordering cells (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15398">#15398</a>)</li>
</ul>
<h3>Bug fixes</h3>
<ul>
<li>[<code>flake8-pie</code>] Correctly remove wrapping parentheses
(<code>PIE800</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15394">#15394</a>)</li>
<li>[<code>pyupgrade</code>] Handle comments and multiline expressions
correctly (<code>UP037</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15337">#15337</a>)</li>
</ul>
<h2>0.9.0</h2>
<p>Check out the <a href="https://astral.sh/blog/ruff-v0.9.0">blog
post</a> for a migration guide and overview of the changes!</p>
<h3>Breaking changes</h3>
<p>Ruff now formats your code according to the 2025 style guide. As a
result, your code might now get formatted differently. See the formatter
section for a detailed list of changes.</p>
<p>This release doesn’t remove or remap any existing stable rules.</p>
<h3>Stabilization</h3>
<p>The following rules have been stabilized and are no longer in
preview:</p>
<ul>
<li><a
href="https://docs.astral.sh/ruff/rules/stdlib-module-shadowing/"><code>stdlib-module-shadowing</code></a>
(<code>A005</code>).
This rule has also been renamed: previously, it was called
<code>builtin-module-shadowing</code>.</li>
<li><a
href="https://docs.astral.sh/ruff/rules/builtin-lambda-argument-shadowing/"><code>builtin-lambda-argument-shadowing</code></a>
(<code>A006</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/slice-to-remove-prefix-or-suffix/"><code>slice-to-remove-prefix-or-suffix</code></a>
(<code>FURB188</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/boolean-chained-comparison/"><code>boolean-chained-comparison</code></a>
(<code>PLR1716</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/decimal-from-float-literal/"><code>decimal-from-float-literal</code></a>
(<code>RUF032</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/post-init-default/"><code>post-init-default</code></a>
(<code>RUF033</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/useless-if-else/"><code>useless-if-else</code></a>
(<code>RUF034</code>)</li>
</ul>
<p>The following behaviors have been stabilized:</p>
<ul>
<li><a
href="https://docs.astral.sh/ruff/rules/pytest-parametrize-names-wrong-type/"><code>pytest-parametrize-names-wrong-type</code></a>
(<code>PT006</code>): Detect <a
href="https://docs.pytest.org/en/7.1.x/how-to/parametrize.html#parametrize"><code>pytest.parametrize</code></a>
calls outside decorators and calls with keyword arguments.</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="12f86f39a4"><code>12f86f3</code></a>
Ruff 0.9.1 (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15407">#15407</a>)</li>
<li><a
href="2b28d566a4"><code>2b28d56</code></a>
Associate a trailing end-of-line comment in a parenthesized implicit
concaten...</li>
<li><a
href="adca7bd95c"><code>adca7bd</code></a>
Remove pygments pin (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15404">#15404</a>)</li>
<li><a
href="6b98a26452"><code>6b98a26</code></a>
[red-knot] Support <code>assert_type</code> (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15194">#15194</a>)</li>
<li><a
href="c87463842a"><code>c874638</code></a>
[red-knot] Move tuple-containing-Never tests to Markdown (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15402">#15402</a>)</li>
<li><a
href="c364b586f9"><code>c364b58</code></a>
[<code>flake8-pie</code>] Correctly remove wrapping parentheses
(<code>PIE800</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15394">#15394</a>)</li>
<li><a
href="73d424ee5e"><code>73d424e</code></a>
Fix outdated doc for handling the default file types with the pre-commit
hook...</li>
<li><a
href="6e9ff445fd"><code>6e9ff44</code></a>
Insert the cells from the <code>start</code> position (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15398">#15398</a>)</li>
<li><a
href="f2c3ddc5ea"><code>f2c3ddc</code></a>
[red-knot] Move intersection type tests to Markdown (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15396">#15396</a>)</li>
<li><a
href="b861551b6a"><code>b861551</code></a>
Remove unnecessary backticks (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15393">#15393</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/astral-sh/ruff/compare/0.5.4...0.9.1">compare
view</a></li>
</ul>
</details>
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Signed-off-by: dependabot[bot] <support@github.com>
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### Description
Update xnnpack to remove the dependency on psimd and fp16 libraries.
However, coremltool still depends on them, which will be addressed
later.
Also, update CPUINFO because the latest xnnpack requires CPUINFO's avx10
support.
### Motivation and Context
The fewer dependencies the better.
### Description
<!-- Describe your changes. -->
* Remove deprecated gpu arch to control nuget/python package size
(latest TRT supports sm75 Turing and newer arch)
* Add 90 to support blackwell series in next release (86;89 not
considered as adding them will rapidly increase package size)
| arch_range | Python-cuda12 | Nuget-cuda12 |
| -------------- |
------------------------------------------------------------ |
---------------------------------- |
| 60;61;70;75;80 | Linux: 279MB Win: 267MB | Linux: 247MB Win: 235MB |
| 75;80 | Linux: 174MB Win: 162MB | Linux: 168MB Win: 156MB |
| **75;80;90** | **Linux: 299MB Win: 277MB** | **Linux: 294MB Win:
271MB** |
| 75;80;86;89 | [Linux: MB Win:
390MB](https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=647457&view=results)
| Linux: 416MB Win: 383MB |
| 75;80;86;89;90 | [Linux: MB Win:
505MB](https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=646536&view=results)
| Linux: 541MB Win: 498MB |
### 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. -->
Callout: While adding sm90 support, the build of cuda11.8+cudnn8 will be
dropped in the coming ORT release,
as the build has issue with blackwell (mentioned in comments) and demand
on cuda 11 is minor, according to internal ort-cuda11 repo.
Fix some inconsistency.
All our iOS build should target iOS 15.1.
All our macOS desktop build should target macOS 13.3 to align with the
changes made in #17361
The new images contain the following updates:
1. Added Git, Ninja and VCPKG to all docker images
2. Updated CPU containers' GCC version from 12 to 14
3. Pinned CUDA 12 images' CUDNN version to 9.5(The latest one is 9.6)
4. Addressed container supply chain warnings by building CUDA 12 images
from scratch(avoid using Nvidia's prebuilt images)
5. Updated manylinux commit id to
75aeda9d18eafb323b00620537c8b4097d4bef48
Also, this PR updated some source code to make the CPU EP's source code
compatible with GCC 14.
### Description
Add a temporary path to RN 0.69.3 to update the boost url
### Motivation and Context
Fix the React-native CI until we update the RN to 0.70.15 or 0.73.3+
versions
### Description
1. Currently Python-Cuda-Publishing-Pipeline only publishes Linux
wheels, not Windows wheels. It is because recently we refactored the
upstream pipeline("Python-CUDA-Packaging-Pipeline") to use 1ES PT. This
PR fixed the issue
2. tools/ci_build/github/azure-pipelines/stages/py-win-gpu-stage.yml no
longer includes component-governance-component-detection-steps.yml ,
because 1ES PT already inserted such a thing
3. Delete tools/ci_build/github/windows/eager/requirements.txt because
it is no longer used.
### Motivation and Context
The "Python-CUDA-Packaging-Pipeline" is for CUDA 12.
"Python CUDA ALT Packaging Pipeline" is for CUDA 11.
The two pipelines are very similar, except the CUDA versions are
different.
Each of them has three parts: build, test, publish.
"Python-CUDA-Packaging-Pipeline" is the first part: build.
"Python CUDA12 Package Test Pipeline" is the second part.
"Python-Cuda-Publishing-Pipeline" is the third part that publishes the
packages to an internal ADO feed.
Move Linux GPU CI pipeline to A10 machines which are more advanced.
Retire onnxruntime-Linux-GPU-T4 machine pool.
Disable run_lean_attention test because the new machines do not have
enough shared memory.
```
skip loading trt attention kernel fmha_mhca_fp16_128_256_sm86_kernel because no enough shared memory
[E:onnxruntime:, sequential_executor.cc:505 ExecuteKernel] Non-zero status code returned while running MultiHeadAttention node. Name:'MultiHeadAttention_0' Status Message: CUDA error cudaErrorInvalidValue:invalid argument
```
### Description
The Web CI pipeline uses three different Windows machine pools:
1. onnxruntime-Win2022-webgpu-A10
2. onnxruntime-Win2022-VS2022-webgpu-A10
3. onnxruntime-Win-CPU-2022-web
This PR merges them together to reduce ongoing maintenance cost.
Remove PostBuildCleanup tasks since it is deprecated. It is to address a
warning in our pipelines:
"Task 'Post Build Cleanup' version 3 (PostBuildCleanup@3) is dependent
on a Node version (6) that is end-of-life. Contact the extension owner
for an updated version of the task. Task maintainers should review Node
upgrade guidance: https://aka.ms/node-runner-guidance"
Now the cleanup is controlled in another place:
https://learn.microsoft.com/en-us/azure/devops/pipelines/yaml-schema/workspace?view=azure-pipelines
The code change was generated by the following Linux command:
```bash
find . -name \*.yml -exec sed -i '/PostBuildCleanup/,+2d' {} \;
```
### Description
<!-- Describe your changes. -->
Update CIs to TRT10.7
### 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
This change fixes the DLL delay load problem for the WebGPU EP and
DirectML EP. See detailed explanation below.
### Problem
When onnxruntime.dll uses delay loading for its dependencies, the
dependencies are loaded using `LoadLibraryEx()`, which search the
directory of process (.exe) instead of this library (onnxruntime.dll).
This is a problem for usages of Node.js binding and python binding,
because Windows will try to find the dependencies in the directory of
node.exe or python.exe, which is not the directory of onnxruntime.dll.
There was previous attempt to fix this by loading DirectML.dll in the
initialization of onnxruntime nodejs binding, which works for DML EP but
is not a good solution because it does not really "delay" the load.
For WebGPU, the situation became worse because webgpu_dawn.dll depends
on dxil.dll and dxcompiler.dll, which are explicitly dynamically loaded
in the code using `LoadLibraryA()`. This has the same problem of the DLL
search.
### Solutions
For onnxruntime.dll loading its direct dependencies, it can be resolved
by set the [`__pfnDliNotifyHook2`
hook](https://learn.microsoft.com/en-us/cpp/build/reference/understanding-the-helper-function?view=msvc-170#structure-and-constant-definitions)
to load from an absolute path that constructed from the onnxruntime.dll
folder and the DLL name.
For webgpu_dawn.dll loading dxil.dll and dxcompiler.dll, since they are
explicitly loaded in the code, the hook does not work. Instead, it can
be resolved by ~~using WIN32 API `SetDllDirectory()` to add the
onnxruntime.dll folder to the search path.~~ preloading the 2 DLLs from
the onnxruntime.dll folder .
