fix yaml

ppcls/configs/ImageNet/AlexNet/AlexNet.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: AlexNet
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA102.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA102
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA102x.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA102x
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA102x2.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA102x2
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA169.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA169
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA34.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA34
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA46_c.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA46_c
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA46x_c.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA46x_c
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA60.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA60
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA60x.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA60x
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DLA/DLA60x_c.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DLA60x_c
+  class_num: 1000
 
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DPN/DPN107.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DPN107
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DPN/DPN131.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DPN131
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DPN/DPN68.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DPN68
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DPN/DPN92.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DPN92
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DPN/DPN98.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DPN98
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DarkNet/DarkNet53.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DarkNet53
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DataAugment/ResNet50_AutoAugment.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DataAugment/ResNet50_Baseline.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DataAugment/ResNet50_Cutmix.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DataAugment/ResNet50_Cutout.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DataAugment/ResNet50_GridMask.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DataAugment/ResNet50_HideAndSeek.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DataAugment/ResNet50_Mixup.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DataAugment/ResNet50_RandAugment.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DataAugment/ResNet50_RandomErasing.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DeiT/DeiT_base_distilled_patch16_224.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DeiT_base_distilled_patch16_224
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DeiT/DeiT_base_distilled_patch16_384.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DeiT_base_distilled_patch16_384
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DeiT/DeiT_base_patch16_224.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DeiT_base_patch16_224
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DeiT/DeiT_base_patch16_384.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DeiT_base_patch16_384
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DeiT/DeiT_small_distilled_patch16_224.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DeiT_small_distilled_patch16_224
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DeiT/DeiT_small_patch16_224.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DeiT_small_patch16_224
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DeiT/DeiT_tiny_distilled_patch16_224.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DeiT_tiny_distilled_patch16_224
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DeiT/DeiT_tiny_patch16_224.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DeiT_tiny_patch16_224
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DenseNet/DenseNet121.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DenseNet121
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DenseNet/DenseNet161.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DenseNet161
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DenseNet/DenseNet169.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DenseNet169
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DenseNet/DenseNet201.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DenseNet201
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/DenseNet/DenseNet264.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: DenseNet264
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/Distillation/mv3_large_x1_0_distill_mv3_small_x1_0.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: "DistillationModel"
+  class_num: 1000
   # if not null, its lengths should be same as models
   pretrained_list:
   # if not null, its lengths should be same as models

ppcls/configs/ImageNet/EfficientNet/EfficientNetB0.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: EfficientNetB0
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/GhostNet/GhostNet_x0_5.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: GhostNet_x0_5
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/GhostNet/GhostNet_x1_0.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: GhostNet_x1_0
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/GhostNet/GhostNet_x1_3.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: GhostNet_x1_3
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HRNet/HRNet_W18_C.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HRNet_W18_C
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HRNet/HRNet_W30_C.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HRNet_W30_C
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HRNet/HRNet_W32_C.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HRNet_W32_C
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HRNet/HRNet_W40_C.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HRNet_W40_C
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HRNet/HRNet_W44_C.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HRNet_W44_C
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HRNet/HRNet_W48_C.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HRNet_W48_C
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HRNet/HRNet_W64_C.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HRNet_W64_C
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HarDNet/HarDNet39_ds.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HarDNet39_ds
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HarDNet/HarDNet68.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HarDNet68
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HarDNet/HarDNet68_ds.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HarDNet68_ds
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/HarDNet/HarDNet85.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: HarDNet85
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/Inception/GoogLeNet.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: GoogLeNet
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/Inception/InceptionV3.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: InceptionV3
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/Inception/InceptionV4.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: InceptionV4
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/LeViT/LeViT_128.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: LeViT_128
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/LeViT/LeViT_128S.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: LeViT_128S
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/LeViT/LeViT_192.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: LeViT_192
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/LeViT/LeViT_256.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: LeViT_256
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/LeViT/LeViT_384.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: LeViT_384
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV1/MobileNetV1.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
   to_static: False
 
 # model architecture
+  class_num: 1000
 Arch:
   name: MobileNetV1
  

ppcls/configs/ImageNet/MobileNetV1/MobileNetV1_x0_25.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV1_x0_25
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV1/MobileNetV1_x0_5.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV1_x0_5
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV1/MobileNetV1_x0_75.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV1_x0_75
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV2/MobileNetV2.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
   to_static: False
 
 # model architecture
+  class_num: 1000
 Arch:
   name: MobileNetV2
  

ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x0_25.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV2_x0_25
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x0_5.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV2_x0_5
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x0_75.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV2_x0_75
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x1_5.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV2_x1_5
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV2/MobileNetV2_x2_0.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV2_x2_0
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x0_35.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_large_x0_35
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x0_5.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_large_x0_5
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x0_75.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_large_x0_75
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_0.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_large_x1_0
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_large_x1_25.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_large_x1_25
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x0_35.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_small_x0_35
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x0_5.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_small_x0_5
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x0_75.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_small_x0_75
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x1_0.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_small_x1_0
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x1_25.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_small_x1_25
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/RedNet/RedNet101.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: RedNet101
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/RedNet/RedNet152.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: RedNet152
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/RedNet/RedNet26.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: RedNet26
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/RedNet/RedNet38.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: RedNet38
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/RedNet/RedNet50.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: RedNet50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/Res2Net/Res2Net101_vd_26w_4s.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: Res2Net101_vd_26w_4s
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/Res2Net/Res2Net200_vd_26w_4s.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: Res2Net200_vd_26w_4s
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/Res2Net/Res2Net50_14w_8s.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: Res2Net50_14w_8s
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/Res2Net/Res2Net50_26w_4s.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: Res2Net50_26w_4s
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/Res2Net/Res2Net50_vd_26w_4s.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: Res2Net50_vd_26w_4s
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/ResNeSt/ResNeSt101.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNeSt101
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/ResNeSt/ResNeSt50.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNeSt50
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/ResNeSt/ResNeSt50_fast_1s1x64d.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNeSt50_fast_1s1x64d
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/ResNeXt/ResNeXt101_32x4d.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNeXt101_32x4d
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/ResNeXt/ResNeXt101_64x4d.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNeXt101_64x4d
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/ResNeXt/ResNeXt101_vd_32x4d.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNeXt101_vd_32x4d
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/ImageNet/ResNeXt/ResNeXt101_vd_64x4d.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 1000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNeXt101_vd_64x4d
+  class_num: 1000
  
 # loss function config for traing/eval process
 Loss: