[ROCm] prefer hip interfaces over roc during hipify

[jeffdaily]

Description

Change the hipify step to remove the -roc option to hipify-perl. This will prefer hipblas over rocblas. rocblas can still be called directly such as in TunableOp.

Motivation and Context

hip interfaces are preferred over roc for porting from cuda to hip. Calling roc interfaces is meant for ROCm-specific enhancements or extensions.

[TedThemistokleous]

Guessing we're keeping the ROCBLAS_CALL and other templates/defines to ensure if someone tries to build the older version support is still there?

[tianleiwu]

/azp run Windows ARM64 QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows GPU TensorRT CI Pipeline,ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline

[tianleiwu]

/azp run Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,orttraining-amd-gpu-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,onnxruntime-binary-size-checks-ci-pipeline

[tianleiwu]

/azp run Big Models,Linux Android Emulator QNN CI Pipeline,Android CI Pipeline,iOS CI Pipeline,ONNX Runtime React Native CI Pipeline

[azure-pipelines]

Azure Pipelines successfully started running 5 pipeline(s).

[azure-pipelines]

Azure Pipelines successfully started running 8 pipeline(s).

[azure-pipelines]

Azure Pipelines successfully started running 10 pipeline(s).

[tianleiwu]

Python format failed. Please follow https://github.com/microsoft/onnxruntime/blob/main/docs/Coding_Conventions_and_Standards.md#linting to fix

[jeffdaily]

Python format failed. Please follow https://github.com/microsoft/onnxruntime/blob/main/docs/Coding_Conventions_and_Standards.md#linting to fix

@tianleiwu Done.

[TedThemistokleous]

Understood. Thanks for answering questions. LGTM

[tianleiwu]

/azp run Windows ARM64 QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows GPU TensorRT CI Pipeline,ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline

[tianleiwu]

/azp run Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,orttraining-amd-gpu-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,onnxruntime-binary-size-checks-ci-pipeline

[azure-pipelines]

Azure Pipelines successfully started running 10 pipeline(s).

[azure-pipelines]

Azure Pipelines successfully started running 8 pipeline(s).

[tianleiwu]

/azp run Big Models,Linux Android Emulator QNN CI Pipeline,Android CI Pipeline,iOS CI Pipeline,ONNX Runtime React Native CI Pipeline, Linux ROCm CI Pipeline, Linux MIGraphX CI Pipeline

[azure-pipelines]

Azure Pipelines successfully started running 7 pipeline(s).

[tianleiwu]

@jeffdaily, Please take a look at the unit test failure in ROCm pipeline:
https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=1521002&view=logs&j=f2f63060-d9d6-52d0-adee-b97db5a9ab91&t=28e21ca6-87a4-5e1e-0441-72b5e8326f2d&l=8852

 [ RUN      ] MatmulIntegerOpTest.MatMulInteger_int8_t
1: 2024-10-11 20:32:23.974607957 [E:onnxruntime:Default, rocm_call.cc:126 RocmCall] 
1: 2024-10-11 20:32:23.974636057 [E:onnxruntime:MatMulInteger, sequential_executor.cc:516 ExecuteKernel] Non-zero status code returned while running MatMulInteger node. Name:'node1' Status Message: 
1: /onnxruntime_src/onnxruntime/test/providers/base_tester.cc:337: Failure
1: Expected equality of these values:
1:   expect_result
1:     Which is: 4-byte object <00-00 00-00>
1:   ExpectResult::kExpectFailure
1:     Which is: 4-byte object <01-00 00-00>
1: Run failed but expected success: Non-zero status code returned while running MatMulInteger node. Name:'node1' Status 

Is it int

rocm pipeline failure