fix config, test=document_fix

configs/quick_start/MobileNetV3_large_x1_0_finetune.yaml

@@ -3,6 +3,7 @@ ARCHITECTURE:
     name: 'MobileNetV3_large_x1_0'
 pretrained_model: "./pretrained/MobileNetV3_large_x1_0_pretrained"
 model_save_dir: "./output/"
+use_gpu: True
 classes_num: 102
 total_images: 1020
 save_interval: 1

configs/quick_start/R50_vd_distill_MV3_large_x1_0.yaml

@@ -6,6 +6,7 @@ pretrained_model:
     - "./pretrained/flowers102_R50_vd_final/ppcls"
     - "./pretrained/MobileNetV3_large_x1_0_pretrained"
 model_save_dir: "./output/"
+use_gpu: True
 classes_num: 102
 total_images: 7169
 save_interval: 1

configs/quick_start/ResNet50_vd.yaml

@@ -4,6 +4,7 @@ ARCHITECTURE:
 
 checkpoints: ""
 pretrained_model: ""
+use_gpu: True
 model_save_dir: "./output/"
 classes_num: 102
 total_images: 1020

configs/quick_start/ResNet50_vd_finetune.yaml

@@ -3,6 +3,7 @@ ARCHITECTURE:
     name: 'ResNet50_vd'
 pretrained_model: "./pretrained/ResNet50_vd_pretrained"
 model_save_dir: "./output/"
+use_gpu: True
 classes_num: 102
 total_images: 1020
 save_interval: 1

configs/quick_start/ResNet50_vd_ssld_finetune.yaml

@@ -5,6 +5,7 @@ ARCHITECTURE:
         lr_mult_list: [0.1, 0.1, 0.2, 0.2, 0.3]
 pretrained_model: "./pretrained/ResNet50_vd_ssld_pretrained"
 model_save_dir: "./output/"
+use_gpu: True
 classes_num: 102
 total_images: 1020
 save_interval: 1

configs/quick_start/ResNet50_vd_ssld_random_erasing_finetune.yaml

@@ -5,6 +5,7 @@ ARCHITECTURE:
         lr_mult_list: [0.1, 0.1, 0.2, 0.2, 0.3]
 pretrained_model: "./pretrained/ResNet50_vd_ssld_pretrained"
 model_save_dir: "./output/"
+use_gpu: True
 classes_num: 102
 total_images: 1020
 save_interval: 1