### Description
Use `https.get` instead of `fetch` in ORT Nodejs binding package install
script.
### Motivation and Context
According to discussions in #23232, the package `global-agent` cannot
work with `fetch` API. To make it work with the proxy agent, this PR
replaces the `fetch` API with `https.get` in the install script.
### 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.
### 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. -->
The algorithm of `SkipSimplifiedLayerNormalization` is quite similar to
the `SimplifiedLayerNormalization`, only different is
`SkipSimplifiedLayerNormalization` provides an additional output used
for calculating the sum of the input, skip and bias (if it exits).
BTW, fix a bug in `SimplifiedLayerNormalization`, adding bias if it
exits.
### 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 .
### Description
This change fixes the build break for Node.js binding on latest
AppleClang:
```
...tensor_helper.cc:65:5 error: integer value -1 is outside of the valid range of values [0,15] for the enumeration type 'napi_typedarray_type' [-Wenum-constexpr-conversion]
```
Use the underlying type of enum `napi_typedarray_type` for
`DATA_TYPE_TYPEDARRAY_MAP` to solve this issue.
Because the underlying type is implementation defined (it's `int` for
MSVC and `unsigned int` for Clang), we use `std::underlying_type_t` to
get the correct type.
### Description
Those test cases start to fail for unknown reasons.
To unblock the CI, I disabled those tests temporarily to earn time to
investigate the root cause.
### Description
<!-- Describe your changes. -->
Fix a bug caused by potential out-of-bound reads of `W` in the
Conv2DMatMul shader.
### Motivation and Context
Fixes#22983
### Description
This PR is a replacement of #21671. It offers a new way for accessing
the following:
- `ort.env.webgpu.adapter`:
- **deprecating**. There is no point to get the value of it. Once
`GPUDevice.adapterInfo` is supported, there is no point to set the value
too.
- `ort.env.webgpu.device`:
- set value of `GPUDevice` if user created it. Use at user's own risk.
- get value of `Promise<GPUDevice>`. if not exist, create a new one. if
exist return it.
- `ort.env.webgpu.powerPreference`:
- **deprecating**. encouraging users to set `ort.env.webgpu.device` if
necessary.
- `ort.env.webgpu.forceFallbackAdapter`:
- **deprecating**. encouraging users to set `ort.env.webgpu.device` if
necessary.
### Description
This PR only upgrade the gradle version and
`com.android.tools.build:gradle` version from build.gradle.
This only update the react-native library gradle version, not the e2e
test.
### 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 uses a TypeScript trick to infer global types in
onnxruntime-common. Thanks to the strong type system of TypeScript, we
are able to refer to types that may not be available in the context.
This helps to keep onnxruntime-common not to include dependencies like
"@webgpu/types", and still being able to use the types in the
declaration. See comments of `TryGetGlobalType` in `type-helper.ts`.
### 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. -->
Bumps [cross-spawn](https://github.com/moxystudio/node-cross-spawn) from
7.0.3 to 7.0.6.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/moxystudio/node-cross-spawn/blob/master/CHANGELOG.md">cross-spawn's
changelog</a>.</em></p>
<blockquote>
<h3><a
href="https://github.com/moxystudio/node-cross-spawn/compare/v7.0.5...v7.0.6">7.0.6</a>
(2024-11-18)</h3>
<h3>Bug Fixes</h3>
<ul>
<li>update cross-spawn version to 7.0.5 in package-lock.json (<a
href="f700743918">f700743</a>)</li>
</ul>
<h3><a
href="https://github.com/moxystudio/node-cross-spawn/compare/v7.0.4...v7.0.5">7.0.5</a>
(2024-11-07)</h3>
<h3>Bug Fixes</h3>
<ul>
<li>fix escaping bug introduced by backtracking (<a
href="640d391fde">640d391</a>)</li>
</ul>
<h3><a
href="https://github.com/moxystudio/node-cross-spawn/compare/v7.0.3...v7.0.4">7.0.4</a>
(2024-11-07)</h3>
<h3>Bug Fixes</h3>
<ul>
<li>disable regexp backtracking (<a
href="https://redirect.github.com/moxystudio/node-cross-spawn/issues/160">#160</a>)
(<a
href="5ff3a07d9a">5ff3a07</a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="77cd97f3ca"><code>77cd97f</code></a>
chore(release): 7.0.6</li>
<li><a
href="6717de49ff"><code>6717de4</code></a>
chore: upgrade standard-version</li>
<li><a
href="f700743918"><code>f700743</code></a>
fix: update cross-spawn version to 7.0.5 in package-lock.json</li>
<li><a
href="9a7e3b2165"><code>9a7e3b2</code></a>
chore: fix build status badge</li>
<li><a
href="085268352d"><code>0852683</code></a>
chore(release): 7.0.5</li>
<li><a
href="640d391fde"><code>640d391</code></a>
fix: fix escaping bug introduced by backtracking</li>
<li><a
href="bff0c87c8b"><code>bff0c87</code></a>
chore: remove codecov</li>
<li><a
href="a7c6abc6fe"><code>a7c6abc</code></a>
chore: replace travis with github workflows</li>
<li><a
href="9b9246e096"><code>9b9246e</code></a>
chore(release): 7.0.4</li>
<li><a
href="5ff3a07d9a"><code>5ff3a07</code></a>
fix: disable regexp backtracking (<a
href="https://redirect.github.com/moxystudio/node-cross-spawn/issues/160">#160</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/moxystudio/node-cross-spawn/compare/v7.0.3...v7.0.6">compare
view</a></li>
</ul>
</details>
<br />
[](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)
Dependabot will resolve any conflicts with this PR as long as you don't
alter it yourself. You can also trigger a rebase manually by commenting
`@dependabot rebase`.
[//]: # (dependabot-automerge-start)
Dependabot will merge this PR once CI passes on it, as requested by
@fs-eire.
[//]: # (dependabot-automerge-end)
---
<details>
<summary>Dependabot commands and options</summary>
<br />
You can trigger Dependabot actions by commenting on this PR:
- `@dependabot rebase` will rebase this PR
- `@dependabot recreate` will recreate this PR, overwriting any edits
that have been made to it
- `@dependabot merge` will merge this PR after your CI passes on it
- `@dependabot squash and merge` will squash and merge this PR after
your CI passes on it
- `@dependabot cancel merge` will cancel a previously requested merge
and block automerging
- `@dependabot reopen` will reopen this PR if it is closed
- `@dependabot close` will close this PR and stop Dependabot recreating
it. You can achieve the same result by closing it manually
- `@dependabot show <dependency name> ignore conditions` will show all
of the ignore conditions of the specified dependency
- `@dependabot ignore this major version` will close this PR and stop
Dependabot creating any more for this major version (unless you reopen
the PR or upgrade to it yourself)
- `@dependabot ignore this minor version` will close this PR and stop
Dependabot creating any more for this minor version (unless you reopen
the PR or upgrade to it yourself)
- `@dependabot ignore this dependency` will close this PR and stop
Dependabot creating any more for this dependency (unless you reopen the
PR or upgrade to it yourself)
You can disable automated security fix PRs for this repo from the
[Security Alerts
page](https://github.com/microsoft/onnxruntime/network/alerts).
</details>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
### Description
This PR updates installation script to fix it for CUDA v12. However, it
may be difficult for CUDA v11 since the steps are quite complicated to
automate. Added a few lines of instructions instead.
fixes#22877
### 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. -->
…ime/java (#22771)"
This reverts commit 632a36a233.
### Description
<!-- Describe your changes. -->
### Motivation and Context
Run E2E tests using Browserstack failed due to this PR.
### Description
This change is to update the Gradle version within java project to 8.7,
it also upgrades the JAVA to 17. Gradle version from react-native was
also updated to 7.5 to make it compatible with changes from the Java
directory. However, the target java version remains the same. Java
version from these will be upgraded in a separated PR.
This is spited from #22206
### Motivation and Context
This is the first step to upgrade the react native version.
### 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. -->
WebNN doesn't provide dedicate op for LRN, use a couple of WebNN ops to
emulate it in WebNN EP:
pow -> transpose -> pad -> averagePool -> transpose -> mul -> add -> pow
-> div
@Honry @fdwr PTAL, thanks!
`Module.jsepRegisterMLConstant` will be shorten by Closure Compiler in
offical release, this would cause undefined error.
Fix it by using `Module['jsepRegisterMLConstant']`.
### 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. -->
This PR make MatMul shaders not depend on inputs broadcasting pattern,
but only depend on input ranks and their shape provided in uniform. This
change fix the issue that currently shaders code are different for
different broadcasting, but have identical cache key and results in
wrong cache hit.
This CL make WebGPU backend support subgroup features and thus allow
using subgroup optimizations in the future.
### Description
With this CL WebGPU backends will create devices with subgroups and
subgroups-f16 features (both are under origin trial in Chrome) or
chromium-experimental-subgroups feature enabled whenever available.
### Motivation and Context
This CL would allow WebGPU operator shaders to use subgroup
optimizations in the future, and might get some significant speedup with
these optimization.
This PR fixes a bug that occurs when searching for compatible `MLTensor`
in the cache. We were missing checking the number of dimensions in the
shape. This would mean that a cached buffer of shape `[1]` could match
for `[1, 1, 256, 256]`.
This PR also adds better handling when attempting to force an `MLTensor`
to a different shape.
In current implementation, all the staging buffers for weights uploading
are destroyed after first batch of kernel execution. It requires a lot
of memory as all the staging buffers couldn't be reused. It also hurts
the startup time (weights uploading only happens in session creation),
as weights uploading is delayed to a very late time.
This PR uses a very aggressive way to submit queue and destroy staging
buffers, so that the related GPU memory could be reused as much as
possible, though the real situation depends on the WebGPU and driver
implementation. The aggressive queue submission also moves GPU
operations to a very early time, which helps the startup time.
Some buffer uploading benchmarks are composed to compare multiple
solutions, regarding to the memory and time consumption. Benchmarks can
be found at
https://github.com/webatintel/webbench/blob/master/webgpu/buffer-upload.html,
while detailed test data can be found at
https://docs.google.com/document/d/1KgygOkb9ZNzkgzQ_tWOGlEI9ScmMBHDjDojjPFLmVXU/edit.
I also tested phi3.5 on 2 machines, first inference time improved from
5141ms to 3579ms and from 4327ms to 2947ms separately.
#22031
For reduce related ops, we should increase workgroupSize to improve
parallelism if only one workgroup is dispatched.
The total ReduceMean time becomes 8.98 ms from 77.79 ms on my iGPUs.
BUG #22031
The total Gemm time in demucs model becomes 181.14 ms from over 1000 ms
on my iGPUs.
### 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. -->
