===========================train_params===========================
model_name:aotgan
python:python3.7
gpu_list:0
##
auto_cast:null
epochs:lite_train_lite_infer=10|lite_train_whole_infer=10|whole_train_whole_infer=200
output_dir:./output/
dataset.train.batch_size:lite_train_lite_infer=1|whole_train_whole_infer=1
pretrained_model:null
train_model_name:aotgan*/*checkpoint.pdparams
train_infer_img_dir:./data/aotgan
null:null
##
trainer:norm_train
norm_train:tools/main.py -c configs/aotgan.yaml --seed 123 -o log_config.interval=1 snapshot_config.interval=1
pact_train:null
fpgm_train:null
distill_train:null
null: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/aotgan.yaml --inputs_size="-1,4,-1,-1"  --model_name inference --load
quant_export:null
fpgm_export:null
distill_export:null
export1:null
export2:null
inference_dir:inference
train_model:./inference/aotgan/aotganmodel_netG
infer_export:null
infer_quant:False
inference:tools/inference.py --model_type aotgan --seed 123 -c configs/aotgan.yaml --output_path test_tipc/output/
--device:cpu
null:null
null:null
null:null
null:null
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--model_path:
null:null
null:null
--benchmark:True
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