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- ===========================train_params===========================
- model_name:vi_layoutxlm_ser
- 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=4|whole_train_whole_infer=8
- Architecture.Backbone.checkpoints:null
- train_model_name:latest
- train_infer_img_dir:ppstructure/docs/kie/input/zh_val_42.jpg
- null:null
- ##
- trainer:norm_train
- norm_train:tools/train.py -c ./configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh.yml -o Global.print_batch_step=1 Global.eval_batch_step=[1000,1000] Train.loader.shuffle=false
- 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/
- Architecture.Backbone.checkpoints:
- norm_export:tools/export_model.py -c ./configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh.yml -o
- quant_export:
- fpgm_export:
- distill_export:null
- export1:null
- export2:null
- ##
- infer_model:null
- infer_export:null
- infer_quant:False
- 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:fp32
- --ser_model_dir:
- --image_dir:./ppstructure/docs/kie/input/zh_val_42.jpg
- null:null
- --benchmark:False
- null:null
- ===========================infer_benchmark_params==========================
- random_infer_input:[{float32,[3,224,224]}]
- ===========================train_benchmark_params==========================
- batch_size:4
- fp_items:fp32|fp16
- epoch:3
- --profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
- flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98
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