You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
62 lines
2.1 KiB
Plaintext
62 lines
2.1 KiB
Plaintext
===========================train_params===========================
|
|
model_name:rec_svtrnet
|
|
python:python3.7
|
|
gpu_list:0|0,1
|
|
Global.use_gpu:True|True
|
|
Global.auto_cast:null
|
|
Global.epoch_num:lite_train_lite_infer=2|whole_train_whole_infer=300
|
|
Global.save_model_dir:./output/
|
|
Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=64
|
|
Global.pretrained_model:null
|
|
train_model_name:latest
|
|
train_infer_img_dir:./inference/rec_inference
|
|
null:null
|
|
##
|
|
trainer:norm_train
|
|
norm_train:tools/train.py -c test_tipc/configs/rec_svtrnet/rec_svtrnet.yml -o
|
|
pact_train:null
|
|
fpgm_train:null
|
|
distill_train:null
|
|
null:null
|
|
null:null
|
|
##
|
|
===========================eval_params===========================
|
|
eval:tools/eval.py -c test_tipc/configs/rec_svtrnet/rec_svtrnet.yml -o
|
|
null:null
|
|
##
|
|
===========================infer_params===========================
|
|
Global.save_inference_dir:./output/
|
|
Global.checkpoints:
|
|
norm_export:tools/export_model.py -c test_tipc/configs/rec_svtrnet/rec_svtrnet.yml -o
|
|
quant_export:null
|
|
fpgm_export:null
|
|
distill_export:null
|
|
export1:null
|
|
export2:null
|
|
##
|
|
train_model:./inference/rec_svtrnet_train/best_accuracy
|
|
infer_export:tools/export_model.py -c test_tipc/configs/rec_svtrnet/rec_svtrnet.yml -o
|
|
infer_quant:False
|
|
inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ic15_dict.txt --rec_image_shape="3,64,256" --rec_algorithm="SVTR"
|
|
--use_gpu:True|False
|
|
--enable_mkldnn:False
|
|
--cpu_threads:6
|
|
--rec_batch_num:1
|
|
--use_tensorrt:False
|
|
--precision:fp32
|
|
--rec_model_dir:
|
|
--image_dir:./inference/rec_inference
|
|
--save_log_path:./test/output/
|
|
--benchmark:True
|
|
null:null
|
|
===========================infer_benchmark_params==========================
|
|
random_infer_input:[{float32,[3,64,256]}]
|
|
===========================train_benchmark_params==========================
|
|
batch_size:512
|
|
fp_items:fp32|fp16
|
|
epoch:2
|
|
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
|
|
flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
|
|
===========================to_static_train_benchmark_params===========================
|
|
to_static_train:Global.to_static=true
|