[QNN-EP] Enable verbose and artifacts saving in onnxruntime_provider_test.exe

[qti-hungjuiw]

Description

• The change allows users to better debug unit tests by adding the following command flags:
  • --dump_onnx: Dump input onnx model
  • --dump_json: Dump json qnn graph with provider_option dump_json_qnn_graph
  • --dump_dlc: Dump dlc with provider_option qnn_ir_backend_path
  • --verbose: Use the log level ORT_LOGGING_LEVEL_VERBOSE
• Developers can use the command flags above to save the artifacts of QNN-EP testcases to a directory named with <TestSuite>_<TestName>

      .
      ├── QnnCPUBackendTests_BatchNorm2D_fp32         # RunQnnModelTest
      │   ├── dumped_f32_model.onnx                   # float32 ONNX model
      │   ├── QNNExecutionProvider_QNN_XXXX_X_X.dlc
      │   └── QNNExecutionProvider_QNN_XXXX_X_X.json
      ├── QnnHTPBackendTests_BatchNorm_FP16           # TestFp16ModelAccuracy
      │   ├── dumped_f16_model.onnx                   # float16 ONNX model
      │   ├── dumped_f32_model.onnx                   # float32 ONNX model
      │   ├── QNNExecutionProvider_QNN_XXXX_X_X.dlc
      │   └── QNNExecutionProvider_QNN_XXXX_X_X.json
      └── QnnHTPBackendTests_BatchNorm2D_U8U8S32      # TestQDQModelAccuracy
          ├── dumped_f32_model.onnx                   # float32 ONNX model
          ├── dumped_qdq_model.onnx                   # QDQ ONNX model
          ├── QNNExecutionProvider_QNN_XXXX_X_X.dlc
          └── QNNExecutionProvider_QNN_XXXX_X_X.json
  
      # All artifact files are placed under the current working directory from which the test binary is invoked.
  

Motivation and Context

• The Json qnn graph/dlc are helpful for backend to debug performance/accuracy issues
• By comparing the onnx and Json qnn graph/dlc, we can locate the issue about graph manipulation.

[qti-hungjuiw]

Hi @edgchen1, could you take a look at this PR for QNN-EP's test cases and let me know if everything looks okay?