update configs of dymodels

configs/MobileNetV3/MobileNetV3_large_x0_35.yaml

@@ -15,7 +15,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 2.6
         warmup_epoch: 5

configs/MobileNetV3/MobileNetV3_large_x0_5.yaml

@@ -15,7 +15,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 1.3
         warmup_epoch: 5

configs/MobileNetV3/MobileNetV3_large_x0_75.yaml

@@ -15,7 +15,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 1.3
         warmup_epoch: 5

configs/MobileNetV3/MobileNetV3_large_x1_0.yaml

@@ -15,7 +15,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 2.6
         warmup_epoch: 5

configs/MobileNetV3/MobileNetV3_large_x1_25.yaml

@@ -15,7 +15,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 0.65
         warmup_epoch: 5

configs/MobileNetV3/MobileNetV3_small_x0_35.yaml

@@ -14,7 +14,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 2.6
         warmup_epoch: 5

configs/MobileNetV3/MobileNetV3_small_x0_5.yaml

@@ -15,7 +15,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 2.6
         warmup_epoch: 5

configs/MobileNetV3/MobileNetV3_small_x0_75.yaml

@@ -15,7 +15,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 2.6
         warmup_epoch: 5

configs/MobileNetV3/MobileNetV3_small_x1_0.yaml

@@ -15,7 +15,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 2.6
         warmup_epoch: 5

configs/MobileNetV3/MobileNetV3_small_x1_25.yaml

@@ -15,7 +15,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 1.3
         warmup_epoch: 5

configs/ShuffleNet/ShuffleNetV2.yaml

@@ -14,7 +14,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 0.5
         warmup_epoch: 5

configs/ShuffleNet/ShuffleNetV2_swish.yaml

@@ -14,7 +14,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 0.5
         warmup_epoch: 5

configs/ShuffleNet/ShuffleNetV2_x0_25.yaml

@@ -14,7 +14,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 0.5
         warmup_epoch: 5

configs/ShuffleNet/ShuffleNetV2_x0_33.yaml

@@ -14,7 +14,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 0.5
         warmup_epoch: 5

configs/ShuffleNet/ShuffleNetV2_x0_5.yaml

@@ -14,7 +14,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 0.5
         warmup_epoch: 5

configs/ShuffleNet/ShuffleNetV2_x1_5.yaml

@@ -14,7 +14,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 0.25
         warmup_epoch: 5

configs/ShuffleNet/ShuffleNetV2_x2_0.yaml

@@ -14,7 +14,7 @@ topk: 5
 image_shape: [3, 224, 224]
 
 LEARNING_RATE:
-    function: 'CosineWarmup'
+    function: 'Cosine'
     params:
         lr: 0.25
         warmup_epoch: 5