Update dependency com.microsoft.onnxruntime:onnxruntime to v1.20.0 (#58)

This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
|
[com.microsoft.onnxruntime:onnxruntime](https://microsoft.github.io/onnxruntime/)
([source](https://redirect.github.com/microsoft/onnxruntime)) | `1.19.2`
-> `1.20.0` |
[![age](https://developer.mend.io/api/mc/badges/age/maven/com.microsoft.onnxruntime:onnxruntime/1.20.0?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|
[![adoption](https://developer.mend.io/api/mc/badges/adoption/maven/com.microsoft.onnxruntime:onnxruntime/1.20.0?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|
[![passing](https://developer.mend.io/api/mc/badges/compatibility/maven/com.microsoft.onnxruntime:onnxruntime/1.19.2/1.20.0?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|
[![confidence](https://developer.mend.io/api/mc/badges/confidence/maven/com.microsoft.onnxruntime:onnxruntime/1.19.2/1.20.0?slim=true)](https://docs.renovatebot.com/merge-confidence/)
|

---

### Release Notes

<details>
<summary>microsoft/onnxruntime
(com.microsoft.onnxruntime:onnxruntime)</summary>

###
[`v1.20.0`](https://redirect.github.com/microsoft/onnxruntime/releases/tag/v1.20.0):
ONNX Runtime v1.20.0

[Compare
Source](https://redirect.github.com/microsoft/onnxruntime/compare/v1.19.2...v1.20.0)

**Release Manager:
[@&#8203;apsonawane](https://redirect.github.com/apsonawane)**

### Announcements

- **All ONNX Runtime Training packages have been deprecated.** ORT
1.19.2 was the last release for which onnxruntime-training (PyPI),
onnxruntime-training-cpu (PyPI), Microsoft.ML.OnnxRuntime.Training
(Nuget), onnxruntime-training-c (CocoaPods), onnxruntime-training-objc
(CocoaPods), and onnxruntime-training-android (Maven Central) were
published.
- **ONNX Runtime packages will stop supporting Python 3.8 and Python
3.9.** This decision aligns with NumPy Python version support. To
continue using ORT with Python 3.8 and Python 3.9, you can use ORT
1.19.2 and earlier.
- **ONNX Runtime 1.20 CUDA packages will include new dependencies that
were not required in 1.19 packages.** The following dependencies are
new: libcudnn_adv.so.9, libcudnn_cnn.so.9,
libcudnn_engines_precompiled.so.9,
libcudnn_engines_runtime_compiled.so.9, libcudnn_graph.so.9,
libcudnn_heuristic.so.9, libcudnn_ops.so.9, libnvrtc.so.12, and
libz.so.1.

### Build System & Packages

-   Python 3.13 support is included in PyPI packages.
- ONNX 1.17 support will be delayed until a future release, but the ONNX
version used by ONNX Runtime has been patched to include a [shape
inference change to the Einsum
op](https://redirect.github.com/onnx/onnx/pull/6010).
- DLLs in the Maven build are now digitally signed (fix for issue
reported
[here](https://redirect.github.com/microsoft/onnxruntime/issues/19204)).
- (Experimental) vcpkg support added for the CPU EP. The DML EP does not
yet support vcpkg, and other EPs have not been tested.

### Core

-   MultiLoRA support.
-   Reduced memory utilization.
- Fixed alignment that was causing mmap to fail for external weights.
- Eliminated double allocations when deserializing external weights.
- Added ability to serialize pre-packed weights so that they don’t cause
an increase in memory utilization when the model is loaded.
-   Support bfloat16 and float8 data types in python I/O binding API.

### Performance

-   INT4 quantized embedding support on CPU and CUDA EPs.
-   Miscellaneous performance improvements and bug fixes.

### EPs

#### CPU

-   FP16 support for MatMulNbits, Clip, and LayerNormalization ops.

#### CUDA

- Added support of cuDNN Flash Attention and Lean Attention in
MultiHeadAttention op.

#### TensorRT

- TensorRT
[10.4](https://redirect.github.com/NVIDIA/TensorRT/releases/tag/v10.4.0)
and
[10.5](https://redirect.github.com/NVIDIA/TensorRT/releases/tag/v10.5.0)
support.

#### QNN

- QNN HTP support for weight sharing across multiple ORT inference
sessions. (See [ORT QNN EP
documentation](https://onnxruntime.ai/docs/execution-providers/QNN-ExecutionProvider.html#qnn-ep-weight-sharing)
for more information.)
-   Support for QNN SDK 2.27.

#### OpenVINO

-   Added support up to OpenVINO 2024.4.1.
-   Compile-time memory optimizations.
- Enhancement of ORT EPContext Session option for optimized first
inference latency.
- Added remote tensors to ensure direct memory access for inferencing on
NPU.

#### DirectML

- [DirectML
1.15.2](https://www.nuget.org/packages/Microsoft.AI.DirectML/1.15.2)
support.

### Mobile

- Improved Android QNN support, including a pre-built Maven package and
various performance improvements.
-   FP16 support for ML Program models with CoreML EP.
- FP16 XNNPACK kernels to provide a fallback option if CoreML is not
available at runtime.
- Initial support for using the native WebGPU EP on Android and iOS.
\_Note: The set of initial operators is limited, and the code is
available from the main branch, not ORT 1.20 packages. See
[#&#8203;22591](https://redirect.github.com/microsoft/onnxruntime/pull/22591)
for more information.

### Web

-   Quantized embedding support.
- On-demand weight loading support (offloads Wasm32 heap and enables
8B-parameter LLMs).
-   Integrated Intel GPU performance improvements.
- [Opset-21](https://redirect.github.com/onnx/onnx/releases/tag/v1.16.0)
support (Reshape, Shape, Gelu).

### GenAI

-   MultiLoRA support.
-   Generations can now be terminated mid-loop.
-   Logit soft capping support in Group Query Attention (GQA).
- Additional model support, including Phi-3.5 Vision Multi-Frame,
ChatGLM3, and Nemotron-Mini.
-   Python package now available for Mac.
-   Mac / iOS now available in NuGet packages.

*Full release notes for ONNX Runtime generate() API v0.5.0 can be found
[here](https://redirect.github.com/microsoft/onnxruntime-genai/releases).*

### Extensions

-   Tokenization performance improvements.
- Support for latest Hugging Face tokenization JSON format
(transformers>=4.45).
-   Unigram tokenization model support.
-   OpenCV dependency removed from C API build.

*Full release notes for ONNX Runtime Extensions v0.13 can be found
[here](https://redirect.github.com/microsoft/onnxruntime-extensions/releases).*

### Olive

- Olive command line interface (CLI) now available with support to
execute well-defined, concrete workflows without the need to create or
edit configs manually.
- Additional improvements, including support for YAML-based workflow
configs, streamlined DataConfig management, simplified workflow
configuration, and more.
- Llama and Phi-3 model updates, including an updated MultiLoRA example
using the ORT generate() API.

*Full release notes for Olive v0.7.0 can be found
[here](https://redirect.github.com/microsoft/Olive/releases/).*

### Contributors

**Big thank you to the release manager
[@&#8203;apsonawane](https://redirect.github.com/apsonawane), as well as
[@&#8203;snnn](https://redirect.github.com/snnn),
[@&#8203;jchen351](https://redirect.github.com/jchen351),
[@&#8203;sheetalarkadam](https://redirect.github.com/sheetalarkadam),
and everyone else who made this release possible!**

Tianlei Wu, Yi Zhang, Yulong Wang, Scott McKay, Edward Chen, Adrian
Lizarraga, Wanming Lin, Changming Sun, Dmitri Smirnov, Jian Chen, Jiajia
Qin, Jing Fang, George Wu, Caroline Zhu, Hector Li, Ted Themistokleous,
mindest, Yang Gu, jingyanwangms, liqun Fu, Adam Pocock, Patrice Vignola,
Yueqing Zhang, Prathik Rao, Satya Kumar Jandhyala, Sumit Agarwal, Xu
Xing, aciddelgado, duanshengliu, Guenther Schmuelling, Kyle, Ranjit
Ranjan, Sheil Kumar, Ye Wang, kunal-vaishnavi, mingyueliuh, xhcao,
zz002, 0xdr3dd, Adam Reeve, Arne H Juul, Atanas Dimitrov, Chen Feiyue,
Chester Liu, Chi Lo, Erick Muñoz, Frank Dong, Jake Mathern, Julius
Tischbein, Justin Chu, Xavier Dupré, Yifan Li, amarin16, anujj,
chenduan-amd, saurabh, sfatimar, sheetalarkadam, wejoncy, Akshay
Sonawane, AlbertGuan9527, Bin Miao, Christian Bourjau, Claude, Clément
Péron, Emmanuel, Enrico Galli, Fangjun Kuang, Hann Wang, Indy Zhu,
Jagadish Krishnamoorthy, Javier Martinez, Jeff Daily, Justin Beavers,
Kevin Chen, Krishna Bindumadhavan, Lennart Hannink, Luis E. P., Mauricio
A Rovira Galvez, Michael Tyler, PARK DongHa, Peishen Yan, PeixuanZuo,
Po-Wei (Vincent), Pranav Sharma, Preetha Veeramalai, Sophie Schoenmeyer,
Vishnudas Thaniel S, Xiang Zhang, Yi-Hong Lyu, Yufeng Li, goldsteinn,
mcollinswisc, mguynn-intc, mingmingtasd, raoanag, shiyi, stsokolo,
vraspar, wangshuai09

**Full changelog:
[v1.19.2...v1.20.0](https://redirect.github.com/microsoft/onnxruntime/compare/v1.19.2...v1.20.0)**

</details>

---

### Configuration

📅 **Schedule**: Branch creation - At any time (no schedule defined),
Automerge - At any time (no schedule defined).

🚦 **Automerge**: Disabled by config. Please merge this manually once you
are satisfied.

♻ **Rebasing**: Whenever PR is behind base branch, or you tick the
rebase/retry checkbox.

🔕 **Ignore**: Close this PR and you won't be reminded about this update
again.

---

- [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check
this box

---

This PR was generated by [Mend Renovate](https://mend.io/renovate/).
View the [repository job
log](https://developer.mend.io/github/langchain4j/langchain4j-embeddings).

<!--renovate-debug:eyJjcmVhdGVkSW5WZXIiOiIzOC4xMzUuMiIsInVwZGF0ZWRJblZlciI6IjM4LjEzNS4yIiwidGFyZ2V0QnJhbmNoIjoibWFpbiIsImxhYmVscyI6W119-->

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>

langchain4j-embeddings/pom.xml

@@ -36,7 +36,7 @@
         <dependency>
             <groupId>com.microsoft.onnxruntime</groupId>
             <artifactId>onnxruntime</artifactId>
-            <version>1.19.2</version>
+            <version>1.20.0</version>
         </dependency>
 
         <dependency>