60 lines
2.2 KiB
Plaintext
60 lines
2.2 KiB
Plaintext
===========================train_params===========================
|
|
model_name:slanet
|
|
python:python3.7
|
|
gpu_list:0|0,1
|
|
Global.use_gpu:True|True
|
|
Global.auto_cast:fp32
|
|
Global.epoch_num:lite_train_lite_infer=3|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_ppstructure_mobile_v2.0_SLANet_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/slanet/SLANet.yml -o Global.print_batch_step=1 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/
|
|
Global.checkpoints:
|
|
norm_export:tools/export_model.py -c test_tipc/configs/slanet/SLANet.yml -o
|
|
quant_export:
|
|
fpgm_export:
|
|
distill_export:null
|
|
export1:null
|
|
export2:null
|
|
##
|
|
infer_model:./inference/en_ppstructure_mobile_v2.0_SLANet_train
|
|
infer_export:null
|
|
infer_quant:False
|
|
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]}]
|
|
===========================train_benchmark_params==========================
|
|
batch_size:32
|
|
fp_items:fp32|fp16
|
|
epoch:2
|
|
--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;FLAGS_conv_workspace_size_limit=4096
|