Add UINT8 datatype support to Java

[frankfliu]

Current onnexruntime Java doesn't support uint8 datatype. See: #6261

The native part already have uint8 support, the memory in the native side actually are the same between uint8 and int8. We can use signed byte[] to create uint8 Tensor.

The uint8 on java side can be presented as byte[] and end user can manually convert it to unsigned if needed.

With this change user can run uint8 model without hacking the model itself.

[ghost]

All CLA requirements met.

[snnn]

/azp run Linux CPU CI Pipeline, Linux CPU Minimal Build E2E CI Pipeline, Linux CPU x64 NoContribops CI Pipeline, Linux GPU CI Pipeline, Linux GPU TensorRT CI Pipeline, Linux Nuphar CI Pipeline, Linux OpenVINO CI Pipeline, MacOS CI Pipeline

[snnn]

/azp run MacOS NoContribops CI Pipeline, Windows CPU CI Pipeline, Windows GPU CI Pipeline, Windows GPU TensorRT CI Pipeline, Windows WebAssembly CI Pipeline, orttraining-amd-gpu-ci-pipeline, orttraining-linux-ci-pipeline, orttraining-linux-gpu-ci-pipeline, orttraining-ortmodule-distributed

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Azure Pipelines successfully started running 8 pipeline(s).

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[Craigacp]

Looks fine, though could you add a test along the lines of https://github.com/microsoft/onnxruntime/blob/master/java/src/test/java/ai/onnxruntime/InferenceTest.java#L1206 to make sure that it can go into and out of a model correctly. There is a test_types_UINT8.pb so it should be straightforward to do.

[frankfliu]

Looks fine, though could you add a test along the lines of https://github.com/microsoft/onnxruntime/blob/master/java/src/test/java/ai/onnxruntime/InferenceTest.java#L1206 to make sure that it can go into and out of a model correctly. There is a test_types_UINT8.pb so it should be straightforward to do.

I added model unit test. But the CI seems stuck.

[Craigacp]

Someone from MS needs to retrigger it as you added commits.

[yuslepukhin]

/azp run Linux CPU CI Pipeline, Linux CPU Minimal Build E2E CI Pipeline, Linux CPU x64 NoContribops CI Pipeline, Linux GPU CI Pipeline, Linux GPU TensorRT CI Pipeline, Linux Nuphar CI Pipeline, Linux OpenVINO CI Pipeline, MacOS CI Pipeline

[yuslepukhin]

/azp run MacOS NoContribops CI Pipeline, Windows CPU CI Pipeline, Windows GPU CI Pipeline, Windows GPU TensorRT CI Pipeline, Windows WebAssembly CI Pipeline, orttraining-amd-gpu-ci-pipeline, orttraining-linux-ci-pipeline, orttraining-linux-gpu-ci-pipeline, orttraining-ortmodule-distributed

[azure-pipelines]

Azure Pipelines successfully started running 8 pipeline(s).

[azure-pipelines]

Azure Pipelines successfully started running 9 pipeline(s).

[yuslepukhin]

MacOS pipelines failing to start. Will follow up.

[yuslepukhin]

/azp run Linux CPU CI Pipeline, Linux CPU Minimal Build E2E CI Pipeline, Linux CPU x64 NoContribops CI Pipeline, Linux GPU CI Pipeline, Linux GPU TensorRT CI Pipeline, Linux Nuphar CI Pipeline, Linux OpenVINO CI Pipeline, MacOS CI Pipeline

[yuslepukhin]

/azp run MacOS NoContribops CI Pipeline, Windows CPU CI Pipeline, Windows GPU CI Pipeline, Windows GPU TensorRT CI Pipeline, Windows WebAssembly CI Pipeline, orttraining-amd-gpu-ci-pipeline, orttraining-linux-ci-pipeline, orttraining-linux-gpu-ci-pipeline, orttraining-ortmodule-distributed

[azure-pipelines]

Azure Pipelines successfully started running 8 pipeline(s).

[azure-pipelines]

Azure Pipelines successfully started running 9 pipeline(s).

[yuslepukhin]

Looks good