* refactor PR 16865

* delete mergetool files

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* test=develop

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* create dir for int8 model before call SaveOptimModel

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* mkldnn int8 only support linux; test=develop

* refine code; test=develop

* remove comment; test=develop

* refine code; test=develop

* fix bug; test=develop

* add exception for mkldnn_post_training_strategy

* reuse int8v2 CAPI dataset; test=develop

* fix accuracy check bug; test=develop

* remove tab

* convert files to unix format

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* reduce CI time;test=develop

* reduce CI time and refine code;test=develop

* refine comment; test=develop

* add cmake FLAGS;test=develop

* remove predict_num;test=develop

* add quant_dequant_pass, test=develop

* Add quant_dequant before some ops, such as the elementwise_add op. This is required by TensorRT. test=develop

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* Add fsp operator.
1 Add unitest.
2. Add python API.
3. Add layer test.

* Add quantization strategy.
1. Add API.
2. Add unitest.

* Add distillatoin strategy.

* Add unitest config file for quantization

* Fix Copyright
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* Fix setup.py

* Fix document of layers.py.
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* Fix unitest in python3.
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* Fix documents.
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* 1. refine fsp op by batched gemm
2. remove unused import
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* Fix test_dist_se_resnext.
1. disable test distillation.
2. reset framework.py
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* Enable unitest of distillation after fixing Block._clone_variable
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* Fix cdn issue.
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* Add moving average absmax op in quantilize-aware training.