add kl for slanet and vi-layoutxlm

test_tipc/configs/slanet/train_ptq_infer_python.txt

@@ -0,0 +1,21 @@
+===========================train_params===========================
+model_name:slanet_KL
+python:python3.7
+Global.pretrained_model:
+Global.save_inference_dir:null
+infer_model:./inference/en_ppstructure_mobile_v2.0_SLANet_infer/
+infer_export:deploy/slim/quantization/quant_kl.py -c test_tipc/configs/slanet/SLANet.yml -o
+infer_quant:True
+inference:ppstructure/table/predict_table.py --det_model_dir=./inference/ch_PP-OCRv3_det_infer --rec_model_dir=./inference/ch_PP-OCRv3_rec_infer --rec_char_dict_path=./ppocr/utils/ppocr_keys_v1.txt --table_char_dict_path=./ppocr/utils/dict/table_structure_dict.txt --image_dir=./ppstructure/docs/table/table.jpg --det_limit_side_len=736 --det_limit_type=min --output ./output/table
+--use_gpu:True|False
+--enable_mkldnn:False
+--cpu_threads:6
+--rec_batch_num:1
+--use_tensorrt:False
+--precision:int8
+--table_model_dir:
+--image_dir:./ppstructure/docs/table/table.jpg
+null:null
+--benchmark:False
+null:null
+null:null

test_tipc/configs/vi_layoutxlm_ser/train_ptq_infer_python.txt

@@ -0,0 +1,21 @@
+===========================train_params===========================
+model_name:vi_layoutxlm_ser_KL
+python:python3.7
+Global.pretrained_model:
+Global.save_inference_dir:null
+infer_model:./inference/ser_vi_layoutxlm_xfund_infer/
+infer_export:deploy/slim/quantization/quant_kl.py -c ./configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh.yml -o Train.loader.batch_size_per_card=1 Eval.loader.batch_size_per_card=1
+infer_quant:True
+inference:ppstructure/kie/predict_kie_token_ser.py --kie_algorithm=LayoutXLM --ser_dict_path=train_data/XFUND/class_list_xfun.txt --output=output --ocr_order_method=tb-yx
+--use_gpu:True|False
+--enable_mkldnn:False
+--cpu_threads:6
+--rec_batch_num:1
+--use_tensorrt:False
+--precision:int8
+--ser_model_dir:
+--image_dir:./ppstructure/docs/kie/input/zh_val_42.jpg
+null:null
+--benchmark:False
+null:null
+null:null

test_tipc/prepare.sh

@@ -532,6 +532,18 @@ elif [ ${MODE} = "whole_infer" ];then
  fi
  cd ../
  fi
+ if [[ ${model_name} =~ "slanet" ]];then
+ wget -nc -P ./inference/ https://paddleocr.bj.bcebos.com/ppstructure/models/slanet/en_ppstructure_mobile_v2.0_SLANet_infer.tar --no-check-certificate
+ wget -nc -P ./inference/ https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar --no-check-certificate
+ wget -nc -P ./inference/ https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar --no-check-certificate
+ cd ./inference/ && tar xf en_ppstructure_mobile_v2.0_SLANet_infer.tar && tar xf ch_PP-OCRv3_det_infer.tar && tar xf ch_PP-OCRv3_rec_infer.tar && cd ../
+ fi
+ if [[ ${model_name} =~ "vi_layoutxlm_ser" ]]; then
+ ${python_name} -m pip install -r ppstructure/kie/requirements.txt
+ ${python_name} -m pip install opencv-python -U 
+ wget -nc -P ./inference/ https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_infer.tar --no-check-certificate
+ cd ./inference/ && tar xf ser_vi_layoutxlm_xfund_infer.tar & cd ../
+ fi
  if [[ ${model_name} =~ "layoutxlm_ser" ]]; then
  ${python_name} -m pip install -r ppstructure/kie/requirements.txt
  ${python_name} -m pip install opencv-python -U