modify configs

ppcls/configs/ImageNet/RegNet/RegNetX_12GF.yaml

@@ -18,7 +18,7 @@ Global:
 Arch:
   name: RegNetX_12GF
   class_num: 1000
-
+ 
 # loss function config for traing/eval process
 Loss:
   Train:
@@ -127,4 +127,4 @@ Metric:
         topk: [1, 5]
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/RegNet/RegNetX_1600MF.yaml

@@ -18,7 +18,7 @@ Global:
 Arch:
   name: RegNetX_1600MF
   class_num: 1000
-
+ 
 # loss function config for traing/eval process
 Loss:
   Train:
@@ -127,4 +127,4 @@ Metric:
         topk: [1, 5]
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/RegNet/RegNetX_16GF.yaml

@@ -18,7 +18,7 @@ Global:
 Arch:
   name: RegNetX_16GF
   class_num: 1000
-
+ 
 # loss function config for traing/eval process
 Loss:
   Train:
@@ -127,4 +127,4 @@ Metric:
         topk: [1, 5]
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/RegNet/RegNetX_32GF.yaml

@@ -92,7 +92,7 @@ DataLoader:
             order: ''
     sampler:
       name: DistributedBatchSampler
-      batch_size: 128
+      batch_size: 64
       drop_last: False
       shuffle: False
     loader:

ppcls/configs/ImageNet/RepVGG/RepVGG_B3.yaml

@@ -18,7 +18,7 @@ Global:
 Arch:
   name: RepVGG_B3
   class_num: 1000
-
+ 
 # loss function config for traing/eval process
 Loss:
   Train:
@@ -134,4 +134,4 @@ Metric:
         topk: [1, 5]
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/RepVGG/RepVGG_B3g4.yaml

@@ -134,4 +134,4 @@ Metric:
         topk: [1, 5]
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/RepVGG/RepVGG_D2se.yaml

@@ -18,7 +18,7 @@ Global:
 Arch:
   name: RepVGG_D2se
   class_num: 1000
-
+ 
 # loss function config for traing/eval process
 Loss:
   Train:
@@ -134,4 +134,4 @@ Metric:
         topk: [1, 5]
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/ResNeSt/ResNeSt101.yaml

@@ -128,4 +128,4 @@ Metric:
   Train:
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/ResNeSt/ResNeSt200.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 256, 256]
+  image_shape: [3, 320, 320]
   save_inference_dir: ./inference
 
 # model architecture
@@ -53,7 +53,7 @@ DataLoader:
             to_rgb: True
             channel_first: False
         - RandCropImage:
-            size: 256
+            size: 320
         - RandFlipImage:
             flip_code: 1
         - AutoAugment:
@@ -85,9 +85,9 @@ DataLoader:
             to_rgb: True
             channel_first: False
         - ResizeImage:
-            resize_short: 288
+            resize_short: 320
         - CropImage:
-            size: 256
+            size: 320
         - NormalizeImage:
             scale: 1.0/255.0
             mean: [0.485, 0.456, 0.406]
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 288
+        resize_short: 320
     - CropImage:
-        size: 256
+        size: 320
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]
@@ -128,4 +128,4 @@ Metric:
   Train:
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/ResNeSt/ResNeSt269.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 256, 256]
+  image_shape: [3, 416, 416]
   save_inference_dir: ./inference
 
 # model architecture
@@ -53,7 +53,7 @@ DataLoader:
             to_rgb: True
             channel_first: False
         - RandCropImage:
-            size: 256
+            size: 416
         - RandFlipImage:
             flip_code: 1
         - AutoAugment:
@@ -85,9 +85,9 @@ DataLoader:
             to_rgb: True
             channel_first: False
         - ResizeImage:
-            resize_short: 288
+            resize_short: 416
         - CropImage:
-            size: 256
+            size: 416
         - NormalizeImage:
             scale: 1.0/255.0
             mean: [0.485, 0.456, 0.406]
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 288
+        resize_short: 416
     - CropImage:
-        size: 256
+        size: 416
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]
@@ -128,4 +128,4 @@ Metric:
   Train:
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/TNT/TNT_base.yaml

@@ -18,7 +18,7 @@ Global:
 Arch:
   name: TNT_base
   class_num: 1000
-
+ 
 # loss function config for traing/eval process
 Loss:
   Train:
@@ -131,4 +131,4 @@ Metric:
         topk: [1, 5]
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/TNT/TNT_small.yaml

@@ -131,4 +131,4 @@ Metric:
         topk: [1, 5]
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/VAN/VAN_B1.yaml

@@ -22,7 +22,7 @@ Arch:
   class_num: 1000
   drop_path_rate: 0.1
   drop_rate: 0.0
-
+ 
 # loss function config for traing/eval process
 Loss:
   Train:
@@ -155,4 +155,4 @@ Infer:
 Metric:
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/VAN/VAN_B2.yaml

@@ -22,7 +22,7 @@ Arch:
   class_num: 1000
   drop_path_rate: 0.1
   drop_rate: 0.0
-
+ 
 # loss function config for traing/eval process
 Loss:
   Train:
@@ -155,4 +155,4 @@ Infer:
 Metric:
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]

ppcls/configs/ImageNet/VAN/VAN_B3.yaml

@@ -22,7 +22,7 @@ Arch:
   class_num: 1000
   drop_path_rate: 0.1
   drop_rate: 0.0
-
+ 
 # loss function config for traing/eval process
 Loss:
   Train:
@@ -155,4 +155,4 @@ Infer:
 Metric:
   Eval:
     - TopkAcc:
-        topk: [1, 5]
\ No newline at end of file
+        topk: [1, 5]