[CANN] Fix test errors during onnxruntime-cann build and compilation

[bachelor-dou]

Description

This PR fixes test errors encountered during the build and compilation of onnxruntime-cann.
error1：
Unrecognized because HiSilicon CPU info was not added, leading to CTest errors.

onnxruntime cpuid_info warning: Unknown CPU vendor. cpuinfo_vendor value: 15

10: [----------] Global test environment tear-down
10: [==========] 15 tests from 1 test suite ran. (772 ms total)
10: [  PASSED  ] 15 tests.
10/10 Test #10: onnxruntime_ep_graph_test ...............   Passed    0.98 sec

90% tests passed, 1 tests failed out of 10

Total Test time (real) = 674.68 sec

The following tests FAILED:
          1 - onnxruntime_test_all (Failed)
Errors while running CTest

error2:
Some Python tests are failing here due to a previously submitted PR (#25867). In that PR, we introduced a new parameter enable_cann_subgraph to control subgraph partitioning for unsupported operators, with a preference for executing the entire graph as a whole. However, this change causes certain test cases to fail when specific operator versions in the models are not supported, leading to execution errors.

[bachelor-dou]

@fffrog

[bachelor-dou]

@tianleiwu Please review this PR when you have time so that it can be merged in a timely manner. thank
you

[tianleiwu]

/azp run Linux QNN CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows GPU Doc Gen CI Pipeline

[azure-pipelines]

Azure Pipelines successfully started running 4 pipeline(s).

[Copilot]

Pull request overview

This PR addresses build/test failures seen in onnxruntime-cann by (1) recognizing HiSilicon/Huawei CPU vendor info to avoid CPUID warnings that trip CTest, and (2) configuring CANN EP tests to enable subgraph partitioning to avoid failures when full-graph execution hits unsupported op versions.

Changes:

• Add HiSilicon (Huawei) CPU vendor mapping to prevent “Unknown CPU vendor” warnings during test runs.
• Update several Python test modules to pass {"enable_cann_subgraph": True} when using CANNExecutionProvider.
• Exclude CANN EP from a known-unsupported MLOps model test.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 2 comments.

File	Description
onnxruntime/test/python/onnxruntime_test_python_sparse_matmul.py	Adds a CANN EP provider-options tuple (enable subgraph partitioning) for a sparse matmul test session.
onnxruntime/test/python/onnxruntime_test_python_mlops.py	Uses CANN EP provider-options tuple broadly; excludes CANN for one unsupported TreeEnsemble test.
onnxruntime/test/python/onnxruntime_test_python.py	Introduces provider list with CANN subgraph enabled; updates provider filtering to handle tuple-based providers and uses it in select sessions.
onnxruntime/core/common/cpuid_info_vendor.cc	Adds vendor mapping for cpuinfo_vendor_huawei to label as “HiSilicon” and assign vendor ID.

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[tianleiwu]

@bachelor-dou, please format the code with "lintrunner -a"

[azure-pipelines]

Commenter does not have sufficient privileges for PR 27091 in repo microsoft/onnxruntime

[bachelor-dou]

@bachelor-dou, please format the code with "lintrunner -a"
The issue has been fixed. Please re-trigger the CI checks. Thank you

[tianleiwu]

/azp run Linux QNN CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows GPU Doc Gen CI Pipeline

[azure-pipelines]

Azure Pipelines successfully started running 4 pipeline(s).

[tianleiwu]

/azp run Linux QNN CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows GPU Doc Gen CI Pipeline

[azure-pipelines]

Azure Pipelines successfully started running 4 pipeline(s).

[tianleiwu]

The core changes are reasonable and well-motivated. The CANN subgraph partitioning approach is the right way to handle unsupported operators, and the HiSilicon CPU vendor fix is straightforward.

[bachelor-dou]

@tianleiwu Please help retrigger the CI. One of the CI jobs timed out, which is blocking the merge. thank you

[tianleiwu]

@bachelor-dou, I've re-run the jobs. Please be patient since the CI pipeline has some issue right now.

[bachelor-dou]

@bachelor-dou, I've re-run the jobs. Please be patient since the CI pipeline has some issue right now.

ok