update log

test_tipc/configs/ch_PP-OCRv2_det_PACT/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt

-===========================train_params===========================
-model_name:ch_PP-OCRv2_det_PACT
-python:python3.7
-gpu_list:0|0,1
-Global.use_gpu:True|True
-Global.auto_cast:amp
-Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=50
-Global.save_model_dir:./output/
-Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
-Global.pretrained_model:null
-train_model_name:latest
-train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
-null:null
-##
-trainer:pact_train
-norm_train:null
-pact_train:deploy/slim/quantization/quant.py -c configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml -o
-fpgm_train:null
-distill_train:null
-null:null
-null:null
-##
-===========================eval_params=========================== 
-eval:null
-null:null
-##
-===========================infer_params===========================
-Global.save_inference_dir:./output/
-Global.checkpoints:
-norm_export:null
-quant_export:deploy/slim/quantization/export_model.py -c configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml -o 
-fpgm_export: 
-distill_export:null
-export1:null
-export2:null
-inference_dir:Student
-infer_model:./inference/ch_PP-OCRv2_det_infer/
-infer_export:null
-infer_quant:False
-inference:tools/infer/predict_det.py
---use_gpu:True|False
---enable_mkldnn:False
---cpu_threads:6
---rec_batch_num:1
---use_tensorrt:False
---precision:fp32
---det_model_dir:
---image_dir:./inference/ch_det_data_50/all-sum-510/
-null:null
---benchmark:True
-null:null
-===========================infer_benchmark_params==========================
-random_infer_input:[{float32,[3,640,640]}];[{float32,[3,960,960]}]

test_tipc/configs/ch_PP-OCRv2_rec_PACT/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt

-===========================train_params===========================
-model_name:ch_PP-OCRv2_rec_PACT
-python:python3.7
-gpu_list:0|0,1
-Global.use_gpu:True|True
-Global.auto_cast:amp
-Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=50
-Global.save_model_dir:./output/
-Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=128
-Global.pretrained_model:pretrain_models/ch_PP-OCRv2_rec_train/best_accuracy
-train_model_name:latest
-train_infer_img_dir:./inference/rec_inference
-null:null
-##
-trainer:pact_train
-norm_train:null
-pact_train:deploy/slim/quantization/quant.py -c test_tipc/configs/ch_PP-OCRv2_rec/ch_PP-OCRv2_rec_distillation.yml -o 
-fpgm_train:null
-distill_train:null
-null:null
-null:null
-##
-===========================eval_params=========================== 
-eval:null
-null:null
-##
-===========================infer_params===========================
-Global.save_inference_dir:./output/
-Global.checkpoints:
-norm_export:null
-quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/ch_PP-OCRv2_rec/ch_PP-OCRv2_rec_distillation.yml -o 
-fpgm_export: null
-distill_export:null
-export1:null
-export2:null
-inference_dir:Student
-infer_model:./inference/ch_PP-OCRv2_rec_slim_quant_infer
-infer_export:null
-infer_quant:True
-inference:tools/infer/predict_rec.py
---use_gpu:True|False
---enable_mkldnn:False
---cpu_threads:6
---rec_batch_num:1|6
---use_tensorrt:False
---precision:fp32
---rec_model_dir:
---image_dir:./inference/rec_inference
-null:null
---benchmark:True
-null:null
-===========================infer_benchmark_params==========================
-random_infer_input:[{float32,[3,32,320]}]

test_tipc/configs/ch_PP-OCRv3_det_PACT/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt

-===========================train_params===========================
-model_name:ch_PP-OCRv3_det_PACT
-python:python3.7
-gpu_list:0|0,1
-Global.use_gpu:True|True
-Global.auto_cast:amp
-Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=50
-Global.save_model_dir:./output/
-Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
-Global.pretrained_model:null
-train_model_name:latest
-train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
-null:null
-##
-trainer:pact_train
-norm_train:null
-pact_train:deploy/slim/quantization/quant.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml -o
-fpgm_train:null
-distill_train:null
-null:null
-null:null
-##
-===========================eval_params=========================== 
-eval:null
-null:null
-##
-===========================infer_params===========================
-Global.save_inference_dir:./output/
-Global.checkpoints:
-norm_export:null
-quant_export:deploy/slim/quantization/export_model.py -c configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml -o 
-fpgm_export: 
-distill_export:null
-export1:null
-export2:null
-inference_dir:Student
-infer_model:./inference/ch_PP-OCRv3_det_infer/
-infer_export:null
-infer_quant:False
-inference:tools/infer/predict_det.py
---use_gpu:True|False
---enable_mkldnn:False
---cpu_threads:6
---rec_batch_num:1
---use_tensorrt:False
---precision:fp32
---det_model_dir:
---image_dir:./inference/ch_det_data_50/all-sum-510/
-null:null
---benchmark:True
-null:null
-===========================infer_benchmark_params==========================
-random_infer_input:[{float32,[3,640,640]}];[{float32,[3,960,960]}]

test_tipc/configs/ch_ppocr_mobile_v2.0_det_PACT/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt

-===========================train_params===========================
-model_name:ch_ppocr_mobile_v2.0_det_PACT
-python:python3.7
-gpu_list:0|0,1
-Global.use_gpu:True|True
-Global.auto_cast:amp
-Global.epoch_num:lite_train_lite_infer=2|whole_train_whole_infer=50
-Global.save_model_dir:./output/
-Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
-Global.pretrained_model:null
-train_model_name:latest
-train_infer_img_dir:./train_data/icdar2015/text_localization/ch4_test_images/
-null:null
-##
-trainer:pact_train
-norm_train:null
-pact_train:deploy/slim/quantization/quant.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o
-fpgm_train:null
-distill_train:null
-null:null
-null:null
-##
-===========================eval_params=========================== 
-eval:null
-null:null
-##
-===========================infer_params===========================
-Global.save_inference_dir:./output/
-Global.checkpoints:
-norm_export:null
-quant_export:deploy/slim/quantization/export_model.py -c configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml -o 
-fpgm_export:null
-distill_export:null
-export1:null
-export2:null
-inference_dir:null
-train_model:./inference/ch_ppocr_mobile_v2.0_det_prune_infer/
-infer_export:null
-infer_quant:False
-inference:tools/infer/predict_det.py
---use_gpu:True|False
---enable_mkldnn:False
---cpu_threads:6
---rec_batch_num:1
---use_tensorrt:False
---precision:fp32
---det_model_dir:
---image_dir:./inference/ch_det_data_50/all-sum-510/
-null:null
---benchmark:True
-null:null
-===========================infer_benchmark_params==========================
-random_infer_input:[{float32,[3,640,640]}];[{float32,[3,960,960]}]

test_tipc/configs/ch_ppocr_mobile_v2.0_rec_PACT/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt

-===========================train_params===========================
-model_name:ch_ppocr_mobile_v2.0_rec_PACT
-python:python3.7
-gpu_list:0
-Global.use_gpu:True|True
-Global.auto_cast:amp
-Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=50
-Global.save_model_dir:./output/
-Train.loader.batch_size_per_card:lite_train_lite_infer=128|whole_train_whole_infer=128
-Global.checkpoints:null
-train_model_name:latest
-train_infer_img_dir:./train_data/ic15_data/test/word_1.png
-null:null
-##
-trainer:pact_train
-norm_train:null
-pact_train:deploy/slim/quantization/quant.py -c test_tipc/configs/ch_ppocr_mobile_v2.0_rec_PACT/rec_chinese_lite_train_v2.0.yml -o
-fpgm_train:null
-distill_train:null
-null:null
-null:null
-##
-===========================eval_params=========================== 
-eval:null
-null:null
-##
-===========================infer_params===========================
-Global.save_inference_dir:./output/
-Global.checkpoints:
-norm_export:null
-quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/ch_ppocr_mobile_v2.0_rec_PACT/rec_chinese_lite_train_v2.0.yml -o 
-fpgm_export:null
-distill_export:null
-export1:null
-export2:null
-inference_dir:null
-infer_model:./inference/ch_ppocr_mobile_v2.0_rec_slim_infer/
-infer_export:null
-infer_quant:False
-inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ppocr_keys_v1.txt --rec_image_shape="3,32,100"
---use_gpu:True|False
---enable_mkldnn:False
---cpu_threads:6
---rec_batch_num:1|6
---use_tensorrt:False
---precision:fp32
---rec_model_dir:
---image_dir:./inference/rec_inference
---save_log_path:./test/output/
---benchmark:True
-null:null
-===========================infer_benchmark_params==========================
-random_infer_input:[{float32,[3,32,320]}]

test_tipc/configs/en_table_structure_PACT/train_linux_gpu_normal_amp_infer_python_linux_gpu_cpu.txt

-===========================train_params===========================
-model_name:en_table_structure_PACT
-python:python3.7
-gpu_list:0|0,1
-Global.use_gpu:True|True
-Global.auto_cast:amp
-Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=50
-Global.save_model_dir:./output/
-Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=128
-Global.pretrained_model:./pretrain_models/en_ppocr_mobile_v2.0_table_structure_train/best_accuracy
-train_model_name:latest
-train_infer_img_dir:./ppstructure/docs/table/table.jpg
-null:null
-##
-trainer:pact_train
-norm_train:null 
-pact_train:deploy/slim/quantization/quant.py -c test_tipc/configs/en_table_structure/table_mv3.yml -o 
-fpgm_train:null
-distill_train:null
-null:null
-null:null
-##
-===========================eval_params=========================== 
-eval:null
-null:null
-##
-===========================infer_params===========================
-Global.save_inference_dir:./output/
-Global.checkpoints:
-norm_export:null 
-quant_export:deploy/slim/quantization/export_model.py -c test_tipc/configs/en_table_structure/table_mv3.yml -o 
-fpgm_export: 
-distill_export:null
-export1:null
-export2:null
-##
-infer_model:./inference/en_ppocr_mobile_v2.0_table_structure_infer
-infer_export:null
-infer_quant:True
-inference:ppstructure/table/predict_table.py --det_model_dir=./inference/en_ppocr_mobile_v2.0_table_det_infer --rec_model_dir=./inference/en_ppocr_mobile_v2.0_table_rec_infer  --rec_char_dict_path=./ppocr/utils/dict/table_dict.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:fp32
---table_model_dir:
---image_dir:./ppstructure/docs/table/table.jpg
-null:null
---benchmark:False
-null:null
-===========================infer_benchmark_params==========================
-random_infer_input:[{float32,[3,488,488]}]

test_tipc/test_paddle2onnx.sh

@@ -62,7 +62,8 @@ function func_paddle2onnx(){
         set_save_model=$(func_set_params "--save_file" "${det_save_file_value}")
         set_opset_version=$(func_set_params "${opset_version_key}" "${opset_version_value}")
         set_enable_onnx_checker=$(func_set_params "${enable_onnx_checker_key}" "${enable_onnx_checker_value}")
-        trans_model_cmd="${padlle2onnx_cmd} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_save_model} ${set_opset_version} ${set_enable_onnx_checker}"
+        trans_det_log="${LOG_PATH}/trans_model_det.log"
+        trans_model_cmd="${padlle2onnx_cmd} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_save_model} ${set_opset_version} ${set_enable_onnx_checker} > ${trans_det_log} 2>&1 "
         eval $trans_model_cmd
         last_status=${PIPESTATUS[0]}
         status_check $last_status "${trans_model_cmd}" "${status_log}" "${model_name}"
@@ -73,7 +74,8 @@ function func_paddle2onnx(){
         set_save_model=$(func_set_params "--save_file" "${rec_save_file_value}")
         set_opset_version=$(func_set_params "${opset_version_key}" "${opset_version_value}")
         set_enable_onnx_checker=$(func_set_params "${enable_onnx_checker_key}" "${enable_onnx_checker_value}")
-        trans_model_cmd="${padlle2onnx_cmd} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_save_model} ${set_opset_version} ${set_enable_onnx_checker}"
+        trans_rec_log="${LOG_PATH}/trans_model_rec.log"
+        trans_model_cmd="${padlle2onnx_cmd} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_save_model} ${set_opset_version} ${set_enable_onnx_checker} > ${trans_rec_log} 2>&1 "
         eval $trans_model_cmd
         last_status=${PIPESTATUS[0]}
         status_check $last_status "${trans_model_cmd}" "${status_log}" "${model_name}"
@@ -85,7 +87,8 @@ function func_paddle2onnx(){
         set_save_model=$(func_set_params "--save_file" "${det_save_file_value}")
         set_opset_version=$(func_set_params "${opset_version_key}" "${opset_version_value}")
         set_enable_onnx_checker=$(func_set_params "${enable_onnx_checker_key}" "${enable_onnx_checker_value}")
-        trans_model_cmd="${padlle2onnx_cmd} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_save_model} ${set_opset_version} ${set_enable_onnx_checker}"
+        trans_det_log="${LOG_PATH}/trans_model_det.log"
+        trans_model_cmd="${padlle2onnx_cmd} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_save_model} ${set_opset_version} ${set_enable_onnx_checker} > ${trans_det_log} 2>&1 "
         eval $trans_model_cmd
         last_status=${PIPESTATUS[0]}
         status_check $last_status "${trans_model_cmd}" "${status_log}" "${model_name}"     
@@ -97,7 +100,8 @@ function func_paddle2onnx(){
         set_save_model=$(func_set_params "--save_file" "${rec_save_file_value}")
         set_opset_version=$(func_set_params "${opset_version_key}" "${opset_version_value}")
         set_enable_onnx_checker=$(func_set_params "${enable_onnx_checker_key}" "${enable_onnx_checker_value}")
-        trans_model_cmd="${padlle2onnx_cmd} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_save_model} ${set_opset_version} ${set_enable_onnx_checker}"
+        trans_rec_log="${LOG_PATH}/trans_model_rec.log"
+        trans_model_cmd="${padlle2onnx_cmd} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_save_model} ${set_opset_version} ${set_enable_onnx_checker} > ${trans_rec_log} 2>&1 "
         eval $trans_model_cmd
         last_status=${PIPESTATUS[0]}
         status_check $last_status "${trans_model_cmd}" "${status_log}" "${model_name}"

test_tipc/test_ptq_inference_python.sh

@@ -139,7 +139,8 @@ if [ ${MODE} = "whole_infer" ]; then
             save_infer_dir="${infer_model}_klquant"
             set_export_weight=$(func_set_params "${export_weight}" "${infer_model}")
             set_save_infer_key=$(func_set_params "${save_infer_key}" "${save_infer_dir}")
-            export_cmd="${python} ${infer_run_exports[Count]} ${set_export_weight} ${set_save_infer_key}"
+            export_log_path="${LOG_PATH}/_export_${Count}.log"
+            export_cmd="${python} ${infer_run_exports[Count]} ${set_export_weight} ${set_save_infer_key} > ${export_log_path} 2>&1 "
             echo ${infer_run_exports[Count]} 
             echo $export_cmd
             eval $export_cmd

test_tipc/test_serving_infer_cpp.sh

@@ -70,7 +70,8 @@ function func_serving(){
     set_serving_server=$(func_set_params "--serving_server" "${det_serving_server_value}")
     set_serving_client=$(func_set_params "--serving_client" "${det_serving_client_value}")
     python_list=(${python_list})
-    trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
+    trans_det_log="${LOG_PATH}/cpp_trans_model_det.log"
+    trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client} > ${trans_det_log} 2>&1 "
     eval $trans_model_cmd
     cp "deploy/pdserving/serving_client_conf.prototxt" ${det_serving_client_value}
     # trans rec
@@ -78,7 +79,8 @@ function func_serving(){
     set_serving_server=$(func_set_params "--serving_server" "${rec_serving_server_value}")
     set_serving_client=$(func_set_params "--serving_client" "${rec_serving_client_value}")
     python_list=(${python_list})
-    trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
+    trans_rec_log="${LOG_PATH}/cpp_trans_model_rec.log"
+    trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client} > ${trans_rec_log} 2>&1 "
     eval $trans_model_cmd
     last_status=${PIPESTATUS[0]}
     status_check $last_status "${trans_model_cmd}" "${status_log}" "${model_name}"
@@ -88,22 +90,25 @@ function func_serving(){
     # cpp serving
     for gpu_id in ${gpu_value[*]}; do
         if [ ${gpu_id} = "null" ]; then
-            web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${det_server_value} ${rec_server_value} ${op_key} ${op_value} ${port_key} ${port_value} > serving_log_cpu.log &"
+            server_log_path="${LOG_PATH}/cpp_server_cpu.log"
+            web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${det_server_value} ${rec_server_value} ${op_key} ${op_value} ${port_key} ${port_value} > ${server_log_path} 2>&1 "
             eval $web_service_cpp_cmd
             last_status=${PIPESTATUS[0]}
             status_check $last_status "${web_service_cpp_cmd}" "${status_log}" "${model_name}"
             sleep 5s
-            _save_log_path="${LOG_PATH}/server_infer_cpp_cpu.log"
+            _save_log_path="${LOG_PATH}/cpp_client_cpu.log"
             cpp_client_cmd="${python_list[0]} ${cpp_client_py} ${det_client_value} ${rec_client_value} > ${_save_log_path} 2>&1"
             eval $cpp_client_cmd
             last_status=${PIPESTATUS[0]}
+            eval "cat ${_save_log_path}"
             status_check $last_status "${cpp_client_cmd}" "${status_log}" "${model_name}"
             ps ux | grep -i ${port_value} | awk '{print $2}' | xargs kill -s 9
         else
-            web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${det_server_value} ${rec_server_value} ${op_key} ${op_value} ${port_key} ${port_value} ${gpu_key} ${gpu_id} > serving_log_gpu.log &"
+            server_log_path="${LOG_PATH}/cpp_server_gpu.log"
+            web_service_cpp_cmd="${python_list[0]} ${web_service_py} --model ${det_server_value} ${rec_server_value} ${op_key} ${op_value} ${port_key} ${port_value} ${gpu_key} ${gpu_id} > ${server_log_path} 2>&1 "
             eval $web_service_cpp_cmd
             sleep 5s
-            _save_log_path="${LOG_PATH}/server_infer_cpp_gpu.log"
+            _save_log_path="${LOG_PATH}/cpp_client_gpu.log"
             cpp_client_cmd="${python_list[0]} ${cpp_client_py} ${det_client_value} ${rec_client_value} > ${_save_log_path} 2>&1"
             eval $cpp_client_cmd
             last_status=${PIPESTATUS[0]}

test_tipc/test_serving_infer_python.sh

@@ -77,14 +77,16 @@ function func_serving(){
         set_serving_server=$(func_set_params "--serving_server" "${det_serving_server_value}")
         set_serving_client=$(func_set_params "--serving_client" "${det_serving_client_value}")
         python_list=(${python_list})
-        trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
+        trans_det_log="${LOG_PATH}/python_trans_model_det.log"
+        trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client} > ${trans_det_log} 2>&1 "
         eval $trans_model_cmd
         # trans rec
         set_dirname=$(func_set_params "--dirname" "${rec_infer_model_dir_value}")
         set_serving_server=$(func_set_params "--serving_server" "${rec_serving_server_value}")
         set_serving_client=$(func_set_params "--serving_client" "${rec_serving_client_value}")
         python_list=(${python_list})
-        trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
+        trans_rec_log="${LOG_PATH}/python_trans_model_rec.log"
+        trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client} > ${trans_rec_log} 2>&1 "
         eval $trans_model_cmd
     elif [[ ${model_name} =~ "det" ]]; then
         # trans det
@@ -92,7 +94,8 @@ function func_serving(){
         set_serving_server=$(func_set_params "--serving_server" "${det_serving_server_value}")
         set_serving_client=$(func_set_params "--serving_client" "${det_serving_client_value}")
         python_list=(${python_list})
-        trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
+        trans_det_log="${LOG_PATH}/python_trans_model_det.log"
+        trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client} > ${trans_det_log} 2>&1 "
         eval $trans_model_cmd
     elif [[ ${model_name} =~ "rec" ]]; then
         # trans rec
@@ -100,7 +103,8 @@ function func_serving(){
         set_serving_server=$(func_set_params "--serving_server" "${rec_serving_server_value}")
         set_serving_client=$(func_set_params "--serving_client" "${rec_serving_client_value}")
         python_list=(${python_list})
-        trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
+        trans_rec_log="${LOG_PATH}/python_trans_model_rec.log"
+        trans_model_cmd="${python_list[0]} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client} > ${trans_rec_log} 2>&1 "
         eval $trans_model_cmd
     fi
     set_image_dir=$(func_set_params "${image_dir_key}" "${image_dir_value}")
@@ -115,29 +119,30 @@ function func_serving(){
             for use_mkldnn in ${web_use_mkldnn_list[*]}; do
                 for threads in ${web_cpu_threads_list[*]}; do
                     set_cpu_threads=$(func_set_params "${web_cpu_threads_key}" "${threads}")
+                    server_log_path="${LOG_PATH}/python_server_cpu_usemkldnn_${use_mkldnn}_threads_${threads}.log"
                     if [ ${model_name} = "ch_PP-OCRv2" ] || [ ${model_name} = "ch_PP-OCRv3" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0" ] || [ ${model_name} = "ch_ppocr_server_v2.0" ]; then
                         set_det_model_config=$(func_set_params "${det_server_key}" "${det_server_value}")
                         set_rec_model_config=$(func_set_params "${rec_server_key}" "${rec_server_value}")
-                        web_service_cmd="${python} ${web_service_py} ${web_use_gpu_key}="" ${web_use_mkldnn_key}=${use_mkldnn} ${set_cpu_threads} ${set_det_model_config} ${set_rec_model_config} &"
+                        web_service_cmd="${python} ${web_service_py} ${web_use_gpu_key}="" ${web_use_mkldnn_key}=${use_mkldnn} ${set_cpu_threads} ${set_det_model_config} ${set_rec_model_config} > ${server_log_path} 2>&1 "
                         eval $web_service_cmd
                         last_status=${PIPESTATUS[0]}
                         status_check $last_status "${web_service_cmd}" "${status_log}" "${model_name}"
                     elif [[ ${model_name} =~ "det" ]]; then
                         set_det_model_config=$(func_set_params "${det_server_key}" "${det_server_value}")
-                        web_service_cmd="${python} ${web_service_py} ${web_use_gpu_key}="" ${web_use_mkldnn_key}=${use_mkldnn} ${set_cpu_threads} ${set_det_model_config} &"
+                        web_service_cmd="${python} ${web_service_py} ${web_use_gpu_key}="" ${web_use_mkldnn_key}=${use_mkldnn} ${set_cpu_threads} ${set_det_model_config} > ${server_log_path} 2>&1 "
                         eval $web_service_cmd
                         last_status=${PIPESTATUS[0]}
                         status_check $last_status "${web_service_cmd}" "${status_log}" "${model_name}"
                     elif [[ ${model_name} =~ "rec" ]]; then
                         set_rec_model_config=$(func_set_params "${rec_server_key}" "${rec_server_value}")
-                        web_service_cmd="${python} ${web_service_py} ${web_use_gpu_key}="" ${web_use_mkldnn_key}=${use_mkldnn} ${set_cpu_threads} ${set_rec_model_config} &"
+                        web_service_cmd="${python} ${web_service_py} ${web_use_gpu_key}="" ${web_use_mkldnn_key}=${use_mkldnn} ${set_cpu_threads} ${set_rec_model_config} > ${server_log_path} 2>&1 "
                         eval $web_service_cmd
                         last_status=${PIPESTATUS[0]}
                         status_check $last_status "${web_service_cmd}" "${status_log}" "${model_name}"
                     fi
                     sleep 2s
                     for pipeline in ${pipeline_py[*]}; do
-                        _save_log_path="${LOG_PATH}/server_infer_cpu_${pipeline%_client*}_usemkldnn_${use_mkldnn}_threads_${threads}_batchsize_1.log"
+                        _save_log_path="${LOG_PATH}/python_client_cpu_${pipeline%_client*}_usemkldnn_${use_mkldnn}_threads_${threads}_batchsize_1.log"
                         pipeline_cmd="${python} ${pipeline} ${set_image_dir} > ${_save_log_path} 2>&1 "
                         eval $pipeline_cmd
                         last_status=${PIPESTATUS[0]}
@@ -151,6 +156,7 @@ function func_serving(){
         elif [ ${use_gpu} = "gpu" ]; then
             for use_trt in ${web_use_trt_list[*]}; do
                 for precision in ${web_precision_list[*]}; do
+                    server_log_path="${LOG_PATH}/python_server_gpu_usetrt_${use_trt}_precision_${precision}.log"
                     if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
                         continue
                     fi
@@ -168,26 +174,26 @@ function func_serving(){
                     if [ ${model_name} = "ch_PP-OCRv2" ] || [ ${model_name} = "ch_PP-OCRv3" ] || [ ${model_name} = "ch_ppocr_mobile_v2.0" ] || [ ${model_name} = "ch_ppocr_server_v2.0" ]; then
                         set_det_model_config=$(func_set_params "${det_server_key}" "${det_server_value}")
                         set_rec_model_config=$(func_set_params "${rec_server_key}" "${rec_server_value}")
-                        web_service_cmd="${python} ${web_service_py} ${set_tensorrt} ${set_precision} ${set_det_model_config} ${set_rec_model_config} &"
+                        web_service_cmd="${python} ${web_service_py} ${set_tensorrt} ${set_precision} ${set_det_model_config} ${set_rec_model_config} > ${server_log_path} 2>&1 "
                         eval $web_service_cmd
                         last_status=${PIPESTATUS[0]}
                         status_check $last_status "${web_service_cmd}" "${status_log}" "${model_name}"
                     elif [[ ${model_name} =~ "det" ]]; then
                         set_det_model_config=$(func_set_params "${det_server_key}" "${det_server_value}")
-                        web_service_cmd="${python} ${web_service_py} ${set_tensorrt} ${set_precision} ${set_det_model_config} &"
+                        web_service_cmd="${python} ${web_service_py} ${set_tensorrt} ${set_precision} ${set_det_model_config} > ${server_log_path} 2>&1 "
                         eval $web_service_cmd
                         last_status=${PIPESTATUS[0]}
                         status_check $last_status "${web_service_cmd}" "${status_log}" "${model_name}"
                     elif [[ ${model_name} =~ "rec" ]]; then
                         set_rec_model_config=$(func_set_params "${rec_server_key}" "${rec_server_value}")
-                        web_service_cmd="${python} ${web_service_py} ${set_tensorrt} ${set_precision} ${set_rec_model_config} &"
+                        web_service_cmd="${python} ${web_service_py} ${set_tensorrt} ${set_precision} ${set_rec_model_config} > ${server_log_path} 2>&1 "
                         eval $web_service_cmd
                         last_status=${PIPESTATUS[0]}
                         status_check $last_status "${web_service_cmd}" "${status_log}" "${model_name}"
                     fi
                     sleep 2s
                     for pipeline in ${pipeline_py[*]}; do
-                        _save_log_path="${LOG_PATH}/server_infer_gpu_${pipeline%_client*}_usetrt_${use_trt}_precision_${precision}_batchsize_1.log"
+                        _save_log_path="${LOG_PATH}/python_client_gpu_${pipeline%_client*}_usetrt_${use_trt}_precision_${precision}_batchsize_1.log"
                         pipeline_cmd="${python} ${pipeline} ${set_image_dir}> ${_save_log_path} 2>&1"
                         eval $pipeline_cmd
                         last_status=${PIPESTATUS[0]}

test_tipc/test_train_inference_python.sh

@@ -2,7 +2,7 @@
 source test_tipc/common_func.sh
 
 FILENAME=$1
-# MODE be one of ['lite_train_lite_infer' 'lite_train_whole_infer' 'whole_train_whole_infer', 'whole_infer', 'klquant_whole_infer']
+# MODE be one of ['lite_train_lite_infer' 'lite_train_whole_infer' 'whole_train_whole_infer', 'whole_infer']
 MODE=$2
 
 dataline=$(awk 'NR==1, NR==51{print}'  $FILENAME)
@@ -88,43 +88,6 @@ benchmark_value=$(func_parser_value "${lines[49]}")
 infer_key1=$(func_parser_key "${lines[50]}")
 infer_value1=$(func_parser_value "${lines[50]}")
 
-# parser klquant_infer
-if [ ${MODE} = "klquant_whole_infer" ]; then
-    dataline=$(awk 'NR==1, NR==17{print}'  $FILENAME)
-    lines=(${dataline})
-    model_name=$(func_parser_value "${lines[1]}")
-    python=$(func_parser_value "${lines[2]}")
-    export_weight=$(func_parser_key "${lines[3]}")
-    save_infer_key=$(func_parser_key "${lines[4]}")
-    # parser inference model 
-    infer_model_dir_list=$(func_parser_value "${lines[5]}")
-    infer_export_list=$(func_parser_value "${lines[6]}")
-    infer_is_quant=$(func_parser_value "${lines[7]}")
-    # parser inference 
-    inference_py=$(func_parser_value "${lines[8]}")
-    use_gpu_key=$(func_parser_key "${lines[9]}")
-    use_gpu_list=$(func_parser_value "${lines[9]}")
-    use_mkldnn_key=$(func_parser_key "${lines[10]}")
-    use_mkldnn_list=$(func_parser_value "${lines[10]}")
-    cpu_threads_key=$(func_parser_key "${lines[11]}")
-    cpu_threads_list=$(func_parser_value "${lines[11]}")
-    batch_size_key=$(func_parser_key "${lines[12]}")
-    batch_size_list=$(func_parser_value "${lines[12]}")
-    use_trt_key=$(func_parser_key "${lines[13]}")
-    use_trt_list=$(func_parser_value "${lines[13]}")
-    precision_key=$(func_parser_key "${lines[14]}")
-    precision_list=$(func_parser_value "${lines[14]}")
-    infer_model_key=$(func_parser_key "${lines[15]}")
-    image_dir_key=$(func_parser_key "${lines[16]}")
-    infer_img_dir=$(func_parser_value "${lines[16]}")
-    save_log_key=$(func_parser_key "${lines[17]}")
-    save_log_value=$(func_parser_value "${lines[17]}")
-    benchmark_key=$(func_parser_key "${lines[18]}")
-    benchmark_value=$(func_parser_value "${lines[18]}")
-    infer_key1=$(func_parser_key "${lines[19]}")
-    infer_value1=$(func_parser_value "${lines[19]}")
-fi
-
 LOG_PATH="./test_tipc/output/${model_name}/${MODE}"
 mkdir -p ${LOG_PATH}
 status_log="${LOG_PATH}/results_python.log"
@@ -211,7 +174,7 @@ function func_inference(){
     done
 }
 
-if [ ${MODE} = "whole_infer" ] || [ ${MODE} = "klquant_whole_infer" ]; then
+if [ ${MODE} = "whole_infer" ]; then
     GPUID=$3
     if [ ${#GPUID} -le 0 ];then
         env=" "
@@ -226,16 +189,12 @@ if [ ${MODE} = "whole_infer" ] || [ ${MODE} = "klquant_whole_infer" ]; then
     infer_quant_flag=(${infer_is_quant})
     for infer_model in ${infer_model_dir_list[*]}; do
         # run export
-        if [ ${infer_run_exports[Count]} != "null" ];then
-            if [ ${MODE} = "klquant_whole_infer" ]; then
-                save_infer_dir="${infer_model}_klquant"
-            fi
-            if [ ${MODE} = "whole_infer" ]; then
-                save_infer_dir="${infer_model}"
-            fi
+        if [ ${infer_run_exports[Count]} != "null" ];then 
+            save_infer_dir="${infer_model}"
             set_export_weight=$(func_set_params "${export_weight}" "${infer_model}")
             set_save_infer_key=$(func_set_params "${save_infer_key}" "${save_infer_dir}")
-            export_cmd="${python} ${infer_run_exports[Count]} ${set_export_weight} ${set_save_infer_key}"
+            export_log_path="${LOG_PATH}/_export_${Count}.log"
+            export_cmd="${python} ${infer_run_exports[Count]} ${set_export_weight} ${set_save_infer_key} > ${export_log_path} 2>&1 "
             echo ${infer_run_exports[Count]} 
             echo $export_cmd
             eval $export_cmd
@@ -246,9 +205,6 @@ if [ ${MODE} = "whole_infer" ] || [ ${MODE} = "klquant_whole_infer" ]; then
         fi
         #run inference
         is_quant=${infer_quant_flag[Count]}
-        if [ ${MODE} = "klquant_whole_infer" ]; then
-            is_quant="True"
-        fi
         func_inference "${python}" "${inference_py}" "${save_infer_dir}" "${LOG_PATH}" "${infer_img_dir}" ${is_quant}
         Count=$(($Count + 1))
     done
@@ -347,7 +303,8 @@ else
                 if [ ${eval_py} != "null" ]; then
                     eval ${env}
                     set_eval_params1=$(func_set_params "${eval_key1}" "${eval_value1}")
-                    eval_cmd="${python} ${eval_py} ${set_eval_pretrain} ${set_use_gpu} ${set_eval_params1}" 
+                    eval_log_path="${LOG_PATH}/${trainer}_gpus_${gpu}_autocast_${autocast}_nodes_${nodes}_eval.log"
+                    eval_cmd="${python} ${eval_py} ${set_eval_pretrain} ${set_use_gpu} ${set_eval_params1} > ${eval_log_path} 2>&1 " 
                     eval $eval_cmd
                     status_check $? "${eval_cmd}" "${status_log}" "${model_name}"
                 fi
@@ -355,9 +312,10 @@ else
                 if [ ${run_export} != "null" ]; then 
                     # run export model
                     save_infer_path="${save_log}"
+                    export_log_path="${LOG_PATH}/${trainer}_gpus_${gpu}_autocast_${autocast}_nodes_${nodes}_export.log"
                     set_export_weight=$(func_set_params "${export_weight}" "${save_log}/${train_model_name}")
                     set_save_infer_key=$(func_set_params "${save_infer_key}" "${save_infer_path}")
-                    export_cmd="${python} ${run_export} ${set_export_weight} ${set_save_infer_key}"
+                    export_cmd="${python} ${run_export} ${set_export_weight} ${set_save_infer_key} > ${export_log_path} 2>&1 "
                     eval $export_cmd
                     status_check $? "${export_cmd}" "${status_log}" "${model_name}"