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60 lines
2.0 KiB
Plaintext
60 lines
2.0 KiB
Plaintext
===========================train_params===========================
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model_name:layoutxlm_ser
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python:python3.7
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gpu_list:0|0,1
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Global.use_gpu:True|True
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Global.auto_cast:fp32
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Global.epoch_num:lite_train_lite_infer=1|whole_train_whole_infer=17
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Global.save_model_dir:./output/
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Train.loader.batch_size_per_card:lite_train_lite_infer=4|whole_train_whole_infer=8
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Architecture.Backbone.checkpoints:null
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train_model_name:latest
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train_infer_img_dir:ppstructure/docs/kie/input/zh_val_42.jpg
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null:null
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##
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trainer:norm_train
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norm_train:tools/train.py -c test_tipc/configs/layoutxlm_ser/ser_layoutxlm_xfund_zh.yml -o Global.print_batch_step=1 Global.eval_batch_step=[1000,1000] Train.loader.shuffle=false
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pact_train:null
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fpgm_train:null
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distill_train:null
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null:null
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null:null
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##
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===========================eval_params===========================
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eval:null
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null:null
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##
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===========================infer_params===========================
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Global.save_inference_dir:./output/
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Architecture.Backbone.checkpoints:
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norm_export:tools/export_model.py -c test_tipc/configs/layoutxlm_ser/ser_layoutxlm_xfund_zh.yml -o
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quant_export:
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fpgm_export:
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distill_export:null
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export1:null
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export2:null
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##
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infer_model:null
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infer_export:null
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infer_quant:False
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inference:ppstructure/kie/predict_kie_token_ser.py --kie_algorithm=LayoutXLM --ser_dict_path=train_data/XFUND/class_list_xfun.txt --output=output
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--use_gpu:True|False
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--enable_mkldnn:False
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--cpu_threads:6
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--rec_batch_num:1
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--use_tensorrt:False
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--precision:fp32
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--ser_model_dir:
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--image_dir:./ppstructure/docs/kie/input/zh_val_42.jpg
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null:null
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--benchmark:False
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null:null
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===========================infer_benchmark_params==========================
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random_infer_input:[{float32,[3,224,224]}]
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===========================train_benchmark_params==========================
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batch_size:8
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fp_items:fp32|fp16
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epoch:3
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--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
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flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98
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