===========================train_params===========================
model_name:yolov3_darknet53_270e_coco
python:python3.7
gpu_list:0
use_gpu:True
auto_cast:null
epoch:lite_train_infer=1|whole_train_infer=12
save_dir:./output/
TrainReader.batch_size:lite_train_infer=2|whole_train_infer=4
weights:null
train_model_name:yolov3_darknet53_270e_coco/model_final.pdparams
train_infer_img_dir:./demo1/
null:null
##
trainer:norm_train|fpgm_train|pact_train
norm_train:tools/train.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o
pact_train:tools/train.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml --slim_config configs/slim/quant/yolov3_darknet_qat.yml -o
fpgm_train:tools/train.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml --slim_config configs/slim/prune/yolov3_darknet_prune_fpgm.yml -o
distill_train:null
null:null
null:null
##
===========================eval_params===========================
eval:tools/eval.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output/
weights:
norm_export:tools/export_model.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o
quant_export:deploy/slim/quantization/export_model.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml -o
fpgm_export:deploy/slim/prune/export_prune_model.py
distill_export:null
null:null
null:null
##
inference:deploy/python/infer.py
--device:gpu
--enable_mkldnn:False|True
--cpu_threads:1|4
--batch_size:1|2
--use_tensorrt:null
--run_mode:fluid
--model_dir:tests/output/norm_train_gpus_0_autocast_null/yolov3_darknet53_270e_coco/
--image_dir:./demo1/
--save_log_path:null
--run_benchmark:True
null:null