[Good First Issue]: Refactor PaddlePaddle Quantization Implement Schemes like ONNX

[xczhai]

Context

The current PaddlePaddle quantization implementation is different from ONNX,.

Same

• PaddlePaddle translates quantize_linear and dequantize_linear in the paddle frontend.

  • https://github.com/openvinotoolkit/openvino/blob/master/src/frontends/paddle/src/op/quantize_linear.cpp
  • https://github.com/openvinotoolkit/openvino/blob/master/src/frontends/paddle/src/op/dequantize_linear.cpp

• ONNX just translates quantize_linear and dequantize_linear without any transformation in the onnx frontend.

  • https://github.com/openvinotoolkit/openvino/blob/master/src/frontends/onnx/frontend/src/op/quantize_linear.cpp
  • https://github.com/openvinotoolkit/openvino/blob/master/src/frontends/onnx/frontend/src/op/dequantize_linear.cpp

Difference

PaddlePaddle fuses the quantize_linear and dequantize_linear into FakeQuantize using a custom pass( https://github.com/openvinotoolkit/openvino/blob/master/src/frontends/paddle/src/internal/pass/transform_fakequantize.cpp)
but ONNX FE just doesn't.

It is hard to maintain the almost same logic. So need to refactor PaddlePaddle quantization like ONNX.
Also, more patterns in the model will affect transformation performance.

What needs to be done?

1. Ignore the HALF_AWAY_FROM_ZERO round mode directly and aggressively. It is just for performance.
2. Remove or refactor the custom pass.
   LTP has done what custom pass(https://github.com/openvinotoolkit/openvino/blob/master/src/frontends/paddle/src/internal/pass/transform_fakequantize.cpp) does. So, need to remove or refactor the custom pass. Prepare quantization pattern for LTP(Low Precision Transformation).
3. Refactor the PDPD FE to decrease the quantization pattern if need.

Example Pull Requests

Please refer to #14834 for more comments and background.
test case: #20689

Resources

• Contribution guide - start here!
• Intel DevHub Discord channel - engage in discussions, ask questions and talk to OpenVINO developers
• What is OpenVINO?
• User documentation
• Paddle Slim Model: https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/cn/quantize.md

Contact points

@xczhai

Ticket

104434

[siddhant-0707]

Hey @xczhai may I work on this...

[yuxu42]

Hey @xczhai may I work on this...

@siddhant-0707 Sure, you can take it. Thanks!

[xczhai]

Hey @xczhai may I work on this...

@siddhant-0707 Yes. If you have any questions, please reach me. Thanks.

[p-wysocki]

Hi @siddhant-0707, are you still working on this issue or can I return it to be picked up by other contributors?

[github-actions]

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