add ptq infer

test_tipc/configs/GeneralRecognitionV2/GeneralRecognitionV2_PPLCNetV2_base_train_ptq_infer_python.txt

@@ -0,0 +1,54 @@
+===========================train_params===========================
+model_name:GeneralRecognitionV2_PPLCNetV2_base
+python:python3.7
+gpu_list:0
+-o Global.device:gpu
+-o Global.auto_cast:null
+-o Global.epochs:lite_train_lite_infer=2|whole_train_whole_infer=100
+-o Global.output_dir:./output/
+-o DataLoader.Train.sampler.batch_size:8
+-o Global.pretrained_model:null
+train_model_name:latest
+train_infer_img_dir:./dataset/ILSVRC2012/val
+null:null
+##
+trainer:pact_train
+norm_train:null
+pact_train:tools/train.py -c ppcls/configs/GeneralRecognitionV2/GeneralRecognitionV2_PPLCNetV2_base.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False
+fpgm_train:null
+distill_train:null
+null:null
+null:null
+##
+===========================eval_params=========================== 
+eval:tools/eval.py -c ppcls/configs/GeneralRecognitionV2/GeneralRecognitionV2_PPLCNetV2_base.yaml
+null:null
+##
+===========================infer_params==========================
+-o Global.save_inference_dir:./inference
+-o Global.pretrained_model:
+norm_export:null
+quant_export:tools/export_model.py -c ppcls/configs/GeneralRecognitionV2/GeneralRecognitionV2_PPLCNetV2_base.yaml
+fpgm_export:null
+distill_export:null
+kl_quant:deploy/slim/quant_post_static.py -c ppcls/configs/GeneralRecognitionV2/GeneralRecognitionV2_PPLCNetV2_base.yaml -o Global.save_inference_dir=./general_PPLCNetV2_base_pretrained_v1.0_infer
+export2:null
+pretrained_model_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/models/inference/PP-ShiTuV2/general_PPLCNetV2_base_pretrained_v1.0_infer.tar 
+infer_model:./general_PPLCNetV2_base_pretrained_v1.0_infer
+infer_export:True
+infer_quant:Fasle
+inference:python/predict_rec.py -c configs/inference_rec.yaml
+-o Global.use_gpu:True|False
+-o Global.enable_mkldnn:False
+-o Global.cpu_num_threads:1
+-o Global.batch_size:1
+-o Global.use_tensorrt:False
+-o Global.use_fp16:False
+-o Global.rec_inference_model_dir:../inference
+-o Global.infer_imgs:../dataset/Aliproduct/demo_test/
+-o Global.save_log_path:null
+-o Global.benchmark:False
+null:null
+null:null
+===========================infer_benchmark_params==========================
+random_infer_input:[{float32,[3,224,224]}]

test_tipc/prepare.sh

@@ -245,12 +245,12 @@ elif [[ ${MODE} = "whole_infer" ]]; then
         cd ../../
     fi
     # download inference or pretrained model
-    eval "wget -nc $model_url_value"
+    eval "wget -nc ${model_url_value}"
     if [[ ${model_url_value} =~ ".tar" ]]; then
         tar_name=$(func_get_url_file_name "${model_url_value}")
-        echo $tar_name
+        echo ${tar_name}
+        eval "tar -xf ${tar_name}"
         rm -rf {tar_name}
-        tar xf ${tar_name}
     fi
     if [[ $model_name == "SwinTransformer_large_patch4_window7_224" || $model_name == "SwinTransformer_large_patch4_window12_384" ]]; then
         cmd="mv ${model_name}_22kto1k_pretrained.pdparams ${model_name}_pretrained.pdparams"