===========================train_params===========================
model_name:singan
python:python3.7
gpu_list:0
##
auto_cast:null
total_iters:lite_train_lite_infer=100|whole_train_whole_infer=100000
output_dir:./output/
snapshot_config.interval:lite_train_lite_infer=25|whole_train_whole_infer=10000
pretrained_model:null
train_model_name:singan*/*checkpoint.pdparams
train_infer_img_dir:./data/stone
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##
trainer:norm_train
norm_train:tools/main.py -c configs/singan_universal.yaml --seed 123 -o log_config.interval=50
pact_train:null
fpgm_train:null
distill_train:null
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##
===========================eval_params=========================== 
eval:null
null:null
##
===========================infer_params===========================
--output_dir:./output/
load:null
norm_export:tools/export_model.py -c configs/singan_universal.yaml --inputs_size=1 --load 
quant_export:null 
fpgm_export:null
distill_export:null
export1:null
export2:null
inference_dir:singan_random_sample
train_model:./inference/singan/singan_random_sample
infer_export:null
infer_quant:False
inference:tools/inference.py --model_type singan --seed 123 -c configs/singan_universal.yaml --output_path test_tipc/output/
--device:cpu
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--model_path:
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--benchmark:True
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