### Description
This PR splits out the FP16 conversions into a separate package we can
override in the android build with a version which works on old versions
of Android.
I'm not sure the android build system changes are correct as I haven't
got an android build environment configured on my workstation.
@YUNQIUGUO if the CI build fails we should follow up offline to get my
environment configured so I can iterate on it.
### Motivation and Context
Fixes the CI failure after #16703.
### Description
The name of the flag we set when compiling the JNI binding to enable the CoreML EP changed at some point in the past. This PR fixes it by updating the flag in the JNI. I also added a quick smoke test for the CoreML provider to make sure it doesn't crash and can be enabled.
### Motivation and Context
All the EPs should work as expected in Java. Fixes#16230.
### Description
This PR creates Nuget and Android for Training.
### Motivation and Context
These packages are intended to be released in ORT 1.15 to enable
On-Device Training Scenarios.
## Packaging Story for Learning On The Edge Release
### Nuget Packages:
1. New Native package -> **Microsoft.ML.OnnxRuntime.Training** (Native
package will contain binaries for: win-x86, win-x64, win-arm, win-arm64,
linux-x64, linux-arm64, android)
2. C# bindings will be added to existing package ->
**Microsoft.ML.OnnxRuntime.Managed**
### Android Package published to Maven:
1. New package for training (full build) ->
**onnxruntime-training-android-full-aar**
### Python Package published to PyPi:
1. Python bindings and offline tooling will be added to the existing ort
training package -> **onnxruntime-training**
### Description
Updating the build option for enabling training in java builds from
ENABLE_TRAINING -> ENABLE_TRAINING_APIS.
In the native codebase ENABLE_TRAINING is used for enabling full
training and ENABLE_TRAINING_APIS is used for creating the lte builds
with training apis. Making the change to sync the naming convention
across all the language bindings.
It was a bit confusing to see ENABLE_TRAINING when debugging the android
build failures for training. Making this change just to improve
readability of logs during debugging.
### 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. -->
- Update Gradle version used in most places from 6.8.3 to 8.0.1. Update Android Gradle Plugin version where applicable.
Not updated in this change: React Native Android projects (under `js/react_native/`). That can be done later along with updating the React Native projects.
- Add Gradle wrapper in `java/` to make it easier to consistently use a specific Gradle version.
### Description
<!-- Describe your changes. -->
Update java/build.gradle to not use deprecated features that were
removed in gradle 8.0.
Also move gradle wrapper setup from a script into a step template.
### 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 builds which use hosted Mac agents and gradle.
Recently the system version of gradle got upgraded to 8.0. Even though
we use an older gradle wrapper version, java/build.gradle is still
processed with gradle 8.0 in the initial call to `gradle wrapper`.
### Description
Update protobuf-java to version 3.21.7. This change only impact tests.
### Motivation and Context
The current version exhibits CVE-2022-3509
* re-hipify all rocm EP sources
* fix all other files affected by re-hipify
* add cuda_provider_factory.h to amd_hipify.py
* do not use cudnn_conv_algo_search in ROCm EP, missing reduce min registration
* Fix ReduceConsts template specialization introduced in #9101.
Fixes the error when building for ROCm 4.3.1:
error: too many template headers for onnxruntime::rocm::ReduceConsts<__half>::One (should be 0)
* fix flake8 error in amd_hipify.py
* speed up hipify with concurrent.futures
* flake8 fix in amd_hipify.py
* Updates for Gradle 7.
* Adding support for OrtThreadingOptions into the Java API.
* Fixing a typo in the JNI code.
* Adding a test for the environment's thread pool.
* Fix cuda test, add comment to failure.
* Updating build.gradle
Modify gradle build so artifactID has _gpu for GPU builds.
Pass USE_CUDA flag on CUDA build
Adjust publishing pipelines to extract POM from a correct path.
Co-Authored-By: @Craigacp
* [java] - adding a cuda enabled test.
* Adding --build_java to the windows gpu ci pipeline.
* Removing a stray line from the unit tests that always enabled CUDA for Java.
Detect os and arch and move the artifacts to a new folder.
Remove unnecesary jars so we cam focus on those we publish.
Add signing
Make signature simlper.
Fix indent.
Halt on 32-bit arch.
Credits: @Craigacp
* java - adding support for custom op libraries.
* Adding support for RunOptions and additional methods for SessionOptions and OrtSession.
As a result OrtEnvironment.LoggingLevel moved to be a top level enum
called OrtLoggingLevel.
* java - adding unit tests for RunOptions and SessionOptions.
* java - removing unused releaseNamesHandle method
* java - add test for custom op library.
* java - adding log verbosity methods, and tests for the same.
* java - fixes for custom op loading test on Windows.
* Cleanup after rebase on master.
