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- ===========================train_params===========================
- model_name:table_master
- python:python3.7
- gpu_list:0|0,1
- Global.use_gpu:True|True
- Global.auto_cast:fp32
- Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=17
- Global.save_model_dir:./output/
- Train.loader.batch_size_per_card:lite_train_lite_infer=2|whole_train_whole_infer=4
- Global.pretrained_model:./pretrain_models/table_structure_tablemaster_train/best_accuracy
- train_model_name:latest
- train_infer_img_dir:./ppstructure/docs/table/table.jpg
- null:null
- ##
- trainer:norm_train
- norm_train:tools/train.py -c test_tipc/configs/table_master/table_master.yml -o Global.print_batch_step=10
- pact_train:null
- 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:tools/export_model.py -c test_tipc/configs/table_master/table_master.yml -o
- quant_export:
- fpgm_export:
- distill_export:null
- export1:null
- export2:null
- ##
- infer_model:null
- infer_export:null
- infer_quant:False
- inference:ppstructure/table/predict_structure.py --table_char_dict_path=./ppocr/utils/dict/table_master_structure_dict.txt --output ./output/table --table_algorithm=TableMaster --table_max_len=480
- --use_gpu:True
- --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,[3,480,480]}]
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