fix rec yaml

ppcls/configs/Cartoonface/ResNet50_icartoon.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 5013
   save_interval: 1
   eval_mode: "retrieval"
   eval_during_train: True

ppcls/configs/Logo/ResNet50_ReID.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 3000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1

ppcls/configs/Products/ResNet50_vd_Aliproduct.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 50030
   save_interval: 1
   eval_during_train: True
   eval_interval: 10

ppcls/configs/Products/ResNet50_vd_Inshop.yaml

@@ -6,7 +6,6 @@ Global:
   pretrained_model: product_ResNet50_vd_Aliproduct_v1.0_pretrained
   output_dir: ./output/
   device: gpu
-  class_num: 3997
   save_interval: 10
   eval_during_train: True
   eval_interval: 10

ppcls/configs/Products/ResNet50_vd_SOP.yaml

@@ -6,7 +6,6 @@ Global:
   pretrained_model: product_ResNet50_vd_Aliproduct_v1.0_pretrained
   output_dir: ./output/
   device: gpu
-  class_num: 11319
   save_interval: 10
   eval_during_train: True
   eval_interval: 10

ppcls/configs/Vehicle/ResNet50.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 431
   save_interval: 1
   eval_during_train: True
   eval_interval: 1

ppcls/configs/Vehicle/ResNet50_ReID.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 30671
   save_interval: 1
   eval_during_train: True
   eval_interval: 1

ppcls/configs/quick_start/MobileNetV1_retrieval.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 101
   save_interval: 5
   eval_during_train: True
   eval_interval: 1

ppcls/configs/quick_start/MobileNetV3_large_x1_0.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 102
   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: 102
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/quick_start/new_user/ShuffleNetV2_x0_25.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: cpu
-  class_num: 102
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ShuffleNetV2_x0_25
+  class_num: 102
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/quick_start/professional/MobileNetV3_large_x1_0_CIFAR100_finetune.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 100
   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: 100
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/quick_start/professional/R50_vd_distill_MV3_large_x1_0_CIFAR100.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 100
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -27,9 +26,11 @@ Arch:
   models:
     - Teacher:
         name: ResNet50_vd
+        class_num: 100
         pretrained: "./pretrained/best_model"
     - Student:
         name: MobileNetV3_large_x1_0
+        class_num: 100
         pretrained: True
 
   infer_model_name: "Student"

ppcls/configs/quick_start/professional/ResNet50_vd_CIFAR100.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 100
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50_vd
+  class_num: 100
  
 # loss function config for traing/eval process
 Loss:

ppcls/configs/quick_start/professional/ResNet50_vd_mixup_CIFAR100_finetune.yaml

@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 100
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50_vd
+  class_num: 100
  
 # loss function config for traing/eval process
 Loss: