===========================train_params===========================
model_name:det_mv3_db_v2
python:python
gpu_list:0
Global.use_gpu:True
Global.auto_cast:null
Global.epoch_num:benchmark_train=2
Global.save_model_dir:./output/
Train.loader.batch_size_per_card:benchmark_train=16
Global.pretrained_model:null
train_model_name:latest
train_infer_img_dir:null
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
##
trainer:norm_train
norm_train:tools/train.py -c configs/det/det_mv3_db.yml  -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
pact_train:null
fpgm_train:null
distill_train:null
null:null
null:null
##
===========================eval_params=========================== 
eval:null
null:null
##
===========================infer_params===========================
Global.save_inference_dir:./output/
Global.checkpoints:
norm_export:null
===========================benchmark_params==========================
device_num:N1C1|N1C8|N4C32
run_process_type:MultiP
run_mode:DP|DP1-MP1-PP1|DP2-MP2-PP2
speed_unit:images/s
skip_steps:2
keyword:ips:
convergence_key:loss:
flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
null:null
