From 7b961b5950a60673f2a7d47f13d380623d6e4e50 Mon Sep 17 00:00:00 2001 From: HydrogenSulfate <490868991@qq.com> Date: Fri, 1 Jul 2022 23:09:26 +0800 Subject: [PATCH] remove MobileNetV3_large_x1_0 config redundant pathes in config file --- .../MobileNetV3_large_x1_0_train_infer_python.txt | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/test_tipc/config/MobileNetV3/MobileNetV3_large_x1_0_train_infer_python.txt b/test_tipc/config/MobileNetV3/MobileNetV3_large_x1_0_train_infer_python.txt index 93a07268..e277750b 100644 --- a/test_tipc/config/MobileNetV3/MobileNetV3_large_x1_0_train_infer_python.txt +++ b/test_tipc/config/MobileNetV3/MobileNetV3_large_x1_0_train_infer_python.txt @@ -14,13 +14,13 @@ null:null ## trainer:norm_train|pact_train|fpgm_train norm_train:tools/train.py -c ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_0.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False -pact_train:tools/train.py -c ppcls/configs/slim/MobileNetV3_large_x1_0_quantization.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False -fpgm_train:tools/train.py -c ppcls/configs/slim/MobileNetV3_large_x1_0_prune.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False +pact_train:null +fpgm_train:null distill_train:null to_static_train:-o Global.to_static=True null:null ## -===========================eval_params=========================== +===========================eval_params=========================== eval:tools/eval.py -c ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_0.yaml null:null ## @@ -28,10 +28,10 @@ null:null -o Global.save_inference_dir:./inference -o Global.pretrained_model: norm_export:tools/export_model.py -c ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_0.yaml -quant_export:tools/export_model.py -c ppcls/configs/slim/MobileNetV3_large_x1_0_quantization.yaml -fpgm_export:tools/export_model.py -c ppcls/configs/slim/MobileNetV3_large_x1_0_prune.yaml +quant_export:null +fpgm_export:null distill_export:null -kl_quant:deploy/slim/quant_post_static.py -c ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_0.yaml -o Global.save_inference_dir=./inference +kl_quant:null export2:null pretrained_model_url:https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_large_x1_0_pretrained.pdparams infer_model:../inference/ -- GitLab