fix some bugs (#542)

* Update res2net.py

* Update res2net_vd.py

* Update resnest.py

* Update distillation_models.py

ppcls/modeling/architectures/distillation_models.py

@@ -50,7 +50,7 @@ class ResNet50_vd_distill_MobileNetV3_large_x1_0(nn.Layer):
 
 class ResNeXt101_32x16d_wsl_distill_ResNet50_vd(nn.Layer):
     def __init__(self, class_dim=1000, **args):
-        super(ResNet50_vd_distill_MobileNetV3_large_x1_0, self).__init__()
+        super(ResNeXt101_32x16d_wsl_distill_ResNet50_vd, self).__init__()
 
         self.teacher = ResNeXt101_32x16d_wsl(class_dim=class_dim, **args)
 

ppcls/modeling/architectures/res2net.py

@@ -247,11 +247,6 @@ def Res2Net50_14w_8s(**args):
     return model
 
 
-def Res2Net50_48w_2s(**args):
-    model = Res2Net(layers=50, scales=2, width=48, **args)
-    return model
-
-
 def Res2Net50_26w_6s(**args):
     model = Res2Net(layers=50, scales=6, width=26, **args)
     return model

ppcls/modeling/architectures/res2net_vd.py

@@ -270,11 +270,6 @@ def Res2Net50_vd_14w_8s(**args):
     return model
 
 
-def Res2Net50_vd_48w_2s(**args):
-    model = Res2Net_vd(layers=50, scales=2, width=48, **args)
-    return model
-
-
 def Res2Net50_vd_26w_6s(**args):
     model = Res2Net_vd(layers=50, scales=6, width=26, **args)
     return model

ppcls/modeling/architectures/resnest.py

@@ -242,7 +242,7 @@ class BottleneckBlock(nn.Layer):
                 num_filters=group_width,
                 filter_size=3,
                 stride=1,
-                dilation=dialtion,
+                dilation=dilation,
                 groups=cardinality,
                 act="relu",
                 name=name + "_conv2")