Describe your changes

Example usage in Olive workflow json:

"passes": {"conversion": {"device":"cpu","type":"OnnxConversion","target_opset":17,"use_dynamo_exporter":false    },"quantization": {"type":"VitisAIQuantization","data_config":"calib_data","config_template":"INT8_TRANSFORMER_ACCURATE","extra_options": {"OpTypesToExcludeOutputQuantization": ["MatMul","Gemm"],"ActivationSymmetric":true      },"debug_mode":true,"log_severity_level":0,"ignore_warnings":false    }  }

Checklist before requesting a review

• Add unit tests for this change.
• Make sure all tests can pass.
• Update documents if necessary.
• Lint and apply fixes to your code by runninglintrunner -a
• Is this a user-facing change? If yes, give a description of this change to be included in the release notes.
• Is this PR including examples changes? If yes, please remember to updateexample documentation in a follow-up PR.

(Optional) Issue link

please improve the example to refer to Quark documentation:https://quark.docs.amd.com/latest/supported_accelerators/ryzenai/index.html

/azp run

Update the entry inolive_config.json to point to the correct location of the pass implementation in the module. Many of the tests are failing because of the wrong entry.

Describe your changes

Example usage in Olive workflow json:

"passes": {"conversion": {"device":"cpu","type":"OnnxConversion","target_opset":17,"use_dynamo_exporter":false    },"quantization": {"type":"VitisAIQuantization","data_config":"calib_data","config_template":"INT8_TRANSFORMER_ACCURATE","extra_options": {"OpTypesToExcludeOutputQuantization": ["MatMul","Gemm"],"ActivationSymmetric":true      },"debug_mode":true,"log_severity_level":0,"ignore_warnings":false    }  }

Checklist before requesting a review

• Add unit tests for this change.
• Make sure all tests can pass.
• Update documents if necessary.
• Lint and apply fixes to your code by runninglintrunner -a
• Is this a user-facing change? If yes, give a description of this change to be included in the release notes.
• Is this PR including examples changes? If yes, please remember to updateexample documentation in a follow-up PR.

(Optional) Issue link

please improve the example to refer to Quark documentation:https://quark.docs.amd.com/latest/supported_accelerators/ryzenai/index.html

Added links of Quark documentation on quantization configurations

Describe your changes

Example usage in Olive workflow json:

"passes": {"conversion": {"device":"cpu","type":"OnnxConversion","target_opset":17,"use_dynamo_exporter":false    },"quantization": {"type":"VitisAIQuantization","data_config":"calib_data","config_template":"INT8_TRANSFORMER_ACCURATE","extra_options": {"OpTypesToExcludeOutputQuantization": ["MatMul","Gemm"],"ActivationSymmetric":true      },"debug_mode":true,"log_severity_level":0,"ignore_warnings":false    }  }

Checklist before requesting a review

• Add unit tests for this change.
• Make sure all tests can pass.
• Update documents if necessary.
• Lint and apply fixes to your code by runninglintrunner -a
• Is this a user-facing change? If yes, give a description of this change to be included in the release notes.
• Is this PR including examples changes? If yes, please remember to updateexample documentation in a follow-up PR.

(Optional) Issue link

please improve the example to refer to Quark documentation:https://quark.docs.amd.com/latest/supported_accelerators/ryzenai/index.html

Added links of Quark documentation on quantization configurations

For a Ryzen AI example, please use XINT8 as the example instead of INT8_TRANSFORMER_ACCURATE. Just checking — does this example currently runnable on Olive?

@vortex-captain please create a copy of your branch directly in this repo and open a new PR to be able to run the CI without the login issue.

Describe your changes

Example usage in Olive workflow json:

"passes": {"conversion": {"device":"cpu","type":"OnnxConversion","target_opset":17,"use_dynamo_exporter":false    },"quantization": {"type":"VitisAIQuantization","data_config":"calib_data","config_template":"INT8_TRANSFORMER_ACCURATE","extra_options": {"OpTypesToExcludeOutputQuantization": ["MatMul","Gemm"],"ActivationSymmetric":true      },"debug_mode":true,"log_severity_level":0,"ignore_warnings":false    }  }

Checklist before requesting a review

• Add unit tests for this change.
• Make sure all tests can pass.
• Update documents if necessary.
• Lint and apply fixes to your code by runninglintrunner -a
• Is this a user-facing change? If yes, give a description of this change to be included in the release notes.
• Is this PR including examples changes? If yes, please remember to updateexample documentation in a follow-up PR.

(Optional) Issue link

please improve the example to refer to Quark documentation:https://quark.docs.amd.com/latest/supported_accelerators/ryzenai/index.html

Added links of Quark documentation on quantization configurations

For a Ryzen AI example, please use XINT8 as the example instead of INT8_TRANSFORMER_ACCURATE. Just checking — does this example currently runnable on Olive?

Updated example in description. And yes, such an example (BERT text model) is runnable on Olive, but in evaluation, the output model cannot run on NPU (all nodes assigned to CPU), unlike the ResNet examples. Any insights?