diff --git a/models/modules/resnet_architecture/mobile_resnet_generator.py b/models/modules/resnet_architecture/mobile_resnet_generator.py
index c073d7302..7e9411e7a 100644
--- a/models/modules/resnet_architecture/mobile_resnet_generator.py
+++ b/models/modules/resnet_architecture/mobile_resnet_generator.py
@@ -285,12 +285,12 @@ def forward(self, x):
         return torch.reshape(out.unsqueeze(1),(1,1,self.out_feat,self.out_feat))
 
 
-class mobile_resnet_block_attn(nn.Module):
+class MobileResnetBlock_attn(nn.Module):
     def __init__(self, channel, kernel, stride, padding):
-        super(mobile_resnet_block_attn, self).__init__()
+        super(MobileResnetBlock_attn, self).__init__()
         self.channel = channel
         self.kernel = kernel
-        self.strdie = stride
+        self.stride = stride
         self.padding = padding
         self.conv1 = SeparableConv2d(channel, channel, kernel, stride, 0)
         self.conv1_norm = nn.InstanceNorm2d(channel)
@@ -329,7 +329,7 @@ def __init__(self, input_nc, output_nc, ngf=64, n_blocks=9, use_spectral=False,
 
         self.resnet_blocks = []
         for i in range(n_blocks):
-            self.resnet_blocks.append(mobile_resnet_block_attn(ngf * 4, 3, 1, 1))
+            self.resnet_blocks.append(MobileResnetBlock_attn(ngf * 4, 3, 1, 1))
             self.resnet_blocks[i].weight_init(0, 0.02)
 
         self.resnet_blocks = nn.Sequential(*self.resnet_blocks)