【Hackathon No.235】 Adding support for PaddleSlim quantized model to T…

…VM PaddlePaddle front end (#500)

rfcs/TVM/20230405_paddlehackathon4_235_support_quantized_model.md

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+# RFC of PaddlePaddle Hackathon 4 Task 235
+
+## Solution name
+
+Adding support for PaddleSlim quantized model to TVM PaddlePaddle front end.
+
+## Description
+
+At present, the PaddlePaddle Frontend in TVM already supports 100+ operators, but it still does not support the PaddleSlim quantization model. This solution will increase TVM's support for the PaddleSlim model and verify the quantified performance improvement.
+Specifically, this solution plans to support the following two operators.
+
+ - dequantize_linear
+ - quantize_linear
+
+## Workflow
+
+ 1. Set up the TVM development environment.
+ 1. For reference, investigate ONNX [quantization operator definition](https://github.com/onnx/onnx/blob/main/docs/Operators.md) and [quantization operator conversion](https://github.com/apache/tvm/blob/main/python/tvm/relay/frontend/onnx.py).
+ 1. In frontend source [paddlepaddle.py](https://github.com/apache/tvm/blob/main/python/tvm/relay/frontend/paddlepaddle.py), implement the conversion of linear_quantize.
+ 1. In the same file, implement the conversion of dequantize_linear.
+ 1. Test with quantitative models.
+
+## Results
+
+TVM can support following PaddleSlim quantization model.
+
+ - [resnet50_vd_ptq](https://bj.bcebos.com/paddlehub/fastdeploy/resnet50_vd_ptq.tar)
+ - [mobilenetv1_ssld_ptq](https://bj.bcebos.com/paddlehub/fastdeploy/mobilenetv1_ssld_ptq.tar)
+ - [PP_LiteSeg_T_STDC1_cityscapes_without_argmax_infer_QAT_new](https://bj.bcebos.com/paddlehub/fastdeploy/PP_LiteSeg_T_STDC1_cityscapes_without_argmax_infer_QAT_new.tar)
+
+## Project Timeline
+
+2023/4/05 Submitting RFC  
+2023/4/20 Creating PR  
+2023/4/30 Merging PR
+
+## Your experience in ML and DL
+
+I'm a PPDE, and I completed three tasks in the first [PaddlePaddle Hackathon](https://github.com/PaddlePaddle/Paddle/issues/35940).
+I have experience with model deployment.