===========================train_params===========================
model_name:yolox_s_300e_coco
python:python3.7
gpu_list:0|0,1
use_gpu:True
auto_cast:null
epoch:lite_train_lite_infer=1|lite_train_whole_infer=1|whole_train_whole_infer=300
save_dir:null
TrainReader.batch_size:lite_train_lite_infer=2|lite_train_whole_infer=2|whole_train_whole_infer=8
pretrain_weights:https://paddledet.bj.bcebos.com/models/yolox_s_300e_coco.pdparams
trained_model_name:model_final.pdparams
train_infer_img_dir:./dataset/coco/test2017/
filename:null
##
trainer:norm_train
norm_train:tools/train.py -c configs/yolox/yolox_s_300e_coco.yml -o
pact_train:tools/train.py -c configs/yolox/yolox_s_300e_coco.yml --slim_config configs/slim/quant/yolov3_darknet_qat.yml -o
fpgm_train:tools/train.py -c configs/yolox/yolox_s_300e_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/yolox/yolox_s_300e_coco.yml -o
null:null
##
===========================infer_params===========================
--output_dir:./output_inference
weights:https://paddledet.bj.bcebos.com/models/yolox_s_300e_coco.pdparams
norm_export:tools/export_model.py -c configs/yolox/yolox_s_300e_coco.yml -o
pact_export:tools/export_model.py -c configs/yolox/yolox_s_300e_coco.yml --slim_config configs/slim/quant/yolov3_darknet_qat.yml -o
fpgm_export:tools/export_model.py -c configs/yolox/yolox_s_300e_coco.yml --slim_config configs/slim/prune/yolov3_darknet_prune_fpgm.yml -o
distill_export:null
export1:null
export2:null
kl_quant_export:tools/post_quant.py -c configs/yolox/yolox_s_300e_coco.yml --slim_config configs/slim/post_quant/yolov3_darknet53_ptq.yml -o
##
infer_mode:norm
infer_quant:False
inference:./deploy/python/infer.py
--device:gpu|cpu
--enable_mkldnn:False
--cpu_threads:4
--batch_size:1|2
--use_tensorrt:null
--run_mode:paddle
--model_dir:
--image_dir:./dataset/coco/test2017/
--save_log_path:null
--run_benchmark:False
null:null
===========================infer_benchmark_params===========================
numpy_infer_input:3x640x640.npy