===========================train_params===========================
model_name:PP-OCRv4_server_rec
python:python
gpu_list:0
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:null
train_model_name:latest
train_infer_img_dir:./inference/rec_inference
null:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/rec/PP-OCRv4/PP-OCRv4_server_rec_fp32_ultra.yml -o Global.cal_metric_during_train=False Global.print_batch_step=1 Train.loader.shuffle=false Train.dataset.data_dir=./train_data/ic15_data Train.dataset.label_file_list=[./train_data/ic15_data/rec_gt_train.txt] Eval.dataset.data_dir=./train_data/ic15_data Eval.dataset.label_file_list=[./train_data/ic15_data/rec_gt_test.txt]
pact_train:null
fpgm_train:null
distill_train:null
to_static_train:Global.to_static=true
null:null
##
===========================eval_params=========================== 
eval:null
null:null
##
===========================infer_params===========================
Global.save_inference_dir:./output/
Global.checkpoints:
norm_export:tools/export_model.py -c configs/rec/PP-OCRv4/PP-OCRv4_mobile_rec.yml -o 
quant_export:
fpgm_export: 
distill_export:null
export1:null
export2:null
##
infer_model:./inference/PP-OCRv4_mobile_rec_infer
infer_export:null
infer_quant:False
inference:tools/infer/predict_rec.py --rec_image_shape="3,48,320"
--use_gpu:True|False
--enable_mkldnn:False
--cpu_threads:6
--rec_batch_num:1
--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,[3,48,320]}]
===========================train_benchmark_params==========================
batch_size:256
fp_items:fp32
epoch:1
--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
===========================disable_to_static_train_benchmark===========================
to_static_train:Global.to_static=False
