Bump com.microsoft.onnxruntime:onnxruntime from 1.14.0 to 1.15.0

[dependabot]

Bumps com.microsoft.onnxruntime:onnxruntime from 1.14.0 to 1.15.0.

Release notes

Sourced from com.microsoft.onnxruntime:onnxruntime's releases.

ONNX Runtime v1.15.0

Announcements

Starting from the next release(ONNX Runtime 1.16.0), at operating system level we will drop the support for

• iOS 11 and below. iOS 12 will be the minimum supported version.
• CentOS 7, Ubuntu 18.04, and any Linux distro without glibc version >=2.28.

At compiler level we will drop the support for

• GCC version <= 9
• Visual Studio 2019

Also, we will remove the onnxruntime_DISABLE_ABSEIL build option since we will upgrade protobuf and the new protobuf version will need abseil.

General

• Added support for ONNX Optional type in C# API
• Added collectives to support multi-GPU inferencing
• Updated macOS build machines to macOS-12, which comes with Xcode 14.2 and we should stop using Xcode 12.4
• Added Python 3.11 support (deprecate 3.7, support 3.8-3.11) in packages for Onnxruntime CPU, Onnxruntime-GPU, Onnxruntime-directml, and onnxruntime-training.
• Updated to CUDA 11.8. ONNX Runtime source code is still compatible with CUDA 11.4 and 12.x.
• Dropped the support for Windows 8.1 and below
• Eager mode code and onnxruntime_ENABLE_EAGER_MODE cmake option are deleted.
• Upgraded Mimalloc version from 2.0.3 to 2.1.1
• Upgraded protobuf version from 3.18.3 to 21.12
• New dependency: cutlass, which is only used in CUDA/TensorRT packages.
• Upgraded DNNL from 2.7.1 to 3.0

Build System

• On POSIX systems by default we disallow using "root" user to build the code. If needed, you can append "--allow_running_as_root" to your build command to bypass the check.
• Add the support for building the source natively on Windows ARM64 with Visual Studio 2022.
• Added a Gradle wrapper and updated Gradle version from 6.8.3 to 8.0.1. (Gradle is the tool for building ORT Java package)
• When doing cross-compiling, the build scripts will try to download a prebuit protoc from Github instead of building the binary from source. Because now protobuf has many dependencies. It is not easy to setup a build environment for protobuf.

Performance

• Improved string marshalling and reduce GC pressure
• Added a build option to allow using a lock-free queue in threadpool for improved CPU utilization
• Fix CPU memory leak due to external weights
• Added fused decoder multi-head attention kernel to improve GPT and decoder models(like T5, Whisper)
• Added packing mode to improve encoder models with inputs of large padding ratio
• Improved generation algorithm (BeamSearch, TopSampling, GreedySearch)
• Improved performance for StableDiffusion, ViT, GPT, whisper models

Execution Providers

Two new execution providers: JS EP and QNN EP.

TensorRT EP

... (truncated)

Commits

• 638146b Update machine pool for AzureEP rel-1.15 (#16055)
• ddaaeea Disable a test in attention_op_test_helper.cc (#16054)
• ae2395c Cherry-pick the fix to build rel-1.15 python package for AzureEP (#16044)
• ade58cf Cherry-pick 4 commits to rel-1.15.0 branch (#16021)
• 6cdf071 Cherry-picks to the release branch (#16017)
• 0f3aa9d Add a comma to cgmanifest.json (#15998)
• a3febf9 Cherry-pick azure ep for nuget (#15941)
• 2fd1aea Cherry-pick some PRs to the release branch (#15913)
• 6ef420e Add RC version missing cherry pick (#15920)
• bf50a37 User/linneamay/roi align 16 (#15812) (#15896)
• Additional commits viewable in compare view

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