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benchmark: unset python version (#10300)

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Tingquan Gao 2023-07-05 17:30:45 +08:00 committed by GitHub
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benchmark/PaddleOCR_DBNet/test_tipc/configs/det_res50_db/train_infer_python.txt
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@ -1,6 +1,6 @@
===========================train_params===========================
model_name:det_res50_db
python:python3.7
python:python
gpu_list:0|0,1
trainer.use_gpu:True|True
amp:null
@ -13,29 +13,29 @@ train_infer_img_dir:imgs/paper/db.jpg
null:null
##
trainer:norm_train
norm_train:tools/train.py --config_file config/icdar2015_resnet50_FPN_DBhead_polyLR.yaml -o trainer.log_iter=1 trainer.enable_eval=False dataset.train.loader.shuffle=false arch.backbone.pretrained=False
norm_train:tools/train.py --config_file config/icdar2015_resnet50_FPN_DBhead_polyLR.yaml -o trainer.log_iter=1 trainer.enable_eval=False dataset.train.loader.shuffle=false arch.backbone.pretrained=False
quant_export:null
fpgm_export:null
distill_train:null
null:null
null:null
##
===========================eval_params===========================
===========================eval_params===========================
eval:null
null:null
##
===========================infer_params===========================
trainer.output_dir:./output/
trainer.resume_checkpoint:
norm_export:tools/export_model.py --config_file config/icdar2015_resnet50_FPN_DBhead_polyLR.yaml -o
quant_export:null
norm_export:tools/export_model.py --config_file config/icdar2015_resnet50_FPN_DBhead_polyLR.yaml -o
quant_export:null
fpgm_export:null
distill_export:null
export1:null
export2:null
##
train_model:./inference/det_r50_vd_db_v2.0_train/best_accuracy
infer_export:tools/export_model.py --config_file config/icdar2015_resnet50_FPN_DBhead_polyLR.yaml -o
infer_export:tools/export_model.py --config_file config/icdar2015_resnet50_FPN_DBhead_polyLR.yaml -o
infer_quant:False
inference:tools/infer.py
--use_gpu:True|False
@ -58,4 +58,4 @@ 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:trainer.to_static=true
to_static_train:trainer.to_static=true