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pina/adaptive_functions/adaptive_softplus.py

@@ -3,7 +3,7 @@ from torch.nn.parameter import Parameter
 
 
 class AdaptiveSoftplus(torch.nn.Module):
-    '''
+    """
     Implementation of soft exponential activation.
     Shape:
         - Input: (N, *) where * means, any number of additional
@@ -18,16 +18,16 @@ class AdaptiveSoftplus(torch.nn.Module):
         >>> a1 = soft_exponential(256)
         >>> x = torch.randn(256)
         >>> x = a1(x)
-    '''
+    """
 
     def __init__(self):
-        '''
+        """
         Initialization.
         INPUT:
             - in_features: shape of the input
             - aplha: trainable parameter
             aplha is initialized with zero value by default
-        '''
+        """
         super().__init__()
 
         self.soft = torch.nn.Softplus()
@@ -36,9 +36,9 @@ class AdaptiveSoftplus(torch.nn.Module):
         self.scale.requiresGrad = True  # set requiresGrad to true!
 
     def forward(self, x):
-        '''
+        """
         Forward pass of the function.
         Applies the function to the input elementwise.
-        '''
-        #x += self.translate
+        """
+        # x += self.translate
         return self.soft(x) * self.scale