diff --git a/ModernTCN-Long-term-forecasting/models/ModernTCN.py b/ModernTCN-Long-term-forecasting/models/ModernTCN.py
index 16ebf7c..5d32427 100644
--- a/ModernTCN-Long-term-forecasting/models/ModernTCN.py
+++ b/ModernTCN-Long-term-forecasting/models/ModernTCN.py
@@ -93,8 +93,8 @@ def PaddingTwoEdge1d(self,x,pad_length_left,pad_length_right,pad_values=0):
         else:
             pad_left = torch.ones(D_out, D_in, pad_length_left) * pad_values
             pad_right = torch.ones(D_out, D_in, pad_length_right) * pad_values
-        x = torch.cat([pad_left,x],dims=-1)
-        x = torch.cat([x,pad_right],dims=-1)
+        x = torch.cat([pad_left,x],dim=-1)
+        x = torch.cat([x,pad_right],dim=-1)
         return x
 
     def get_equivalent_kernel_bias(self):
diff --git a/ModernTCN-classification/models/ModernTCN.py b/ModernTCN-classification/models/ModernTCN.py
index 99469c8..564b534 100644
--- a/ModernTCN-classification/models/ModernTCN.py
+++ b/ModernTCN-classification/models/ModernTCN.py
@@ -95,8 +95,8 @@ def PaddingTwoEdge1d(self,x,pad_length_left,pad_length_right,pad_values=0):
         else:
             pad_left = torch.ones(D_out, D_in, pad_length_left) * pad_values
             pad_right = torch.ones(D_out, D_in, pad_length_right) * pad_values
-        x = torch.cat([pad_left,x],dims=-1)
-        x = torch.cat([x,pad_right],dims=-1)
+        x = torch.cat([pad_left,x],dim=-1)
+        x = torch.cat([x,pad_right],dim=-1)
         return x
 
     def get_equivalent_kernel_bias(self):
diff --git a/ModernTCN-detection/models/ModernTCN.py b/ModernTCN-detection/models/ModernTCN.py
index 576e7c0..1eecc77 100644
--- a/ModernTCN-detection/models/ModernTCN.py
+++ b/ModernTCN-detection/models/ModernTCN.py
@@ -97,8 +97,8 @@ def PaddingTwoEdge1d(self,x,pad_length_left,pad_length_right,pad_values=0):
         else:
             pad_left = torch.ones(D_out, D_in, pad_length_left) * pad_values
             pad_right = torch.ones(D_out, D_in, pad_length_right) * pad_values
-        x = torch.cat([pad_left,x],dims=-1)
-        x = torch.cat([x,pad_right],dims=-1)
+        x = torch.cat([pad_left,x],dim=-1)
+        x = torch.cat([x,pad_right],dim=-1)
         return x
 
     def get_equivalent_kernel_bias(self):
diff --git a/ModernTCN-imputation/models/ModernTCN.py b/ModernTCN-imputation/models/ModernTCN.py
index cbbec6e..cfbce58 100644
--- a/ModernTCN-imputation/models/ModernTCN.py
+++ b/ModernTCN-imputation/models/ModernTCN.py
@@ -91,8 +91,8 @@ def PaddingTwoEdge1d(self,x,pad_length_left,pad_length_right,pad_values=0):
         else:
             pad_left = torch.ones(D_out, D_in, pad_length_left) * pad_values
             pad_right = torch.ones(D_out, D_in, pad_length_right) * pad_values
-        x = torch.cat([pad_left,x],dims=-1)
-        x = torch.cat([x,pad_right],dims=-1)
+        x = torch.cat([pad_left,x],dim=-1)
+        x = torch.cat([x,pad_right],dim=-1)
         return x
 
     def get_equivalent_kernel_bias(self):
diff --git a/ModernTCN-short-term/models/ModernTCN.py b/ModernTCN-short-term/models/ModernTCN.py
index 7e960c0..7fee2ef 100644
--- a/ModernTCN-short-term/models/ModernTCN.py
+++ b/ModernTCN-short-term/models/ModernTCN.py
@@ -95,8 +95,8 @@ def PaddingTwoEdge1d(self,x,pad_length_left,pad_length_right,pad_values=0):
         else:
             pad_left = torch.ones(D_out, D_in, pad_length_left) * pad_values
             pad_right = torch.ones(D_out, D_in, pad_length_right) * pad_values
-        x = torch.cat([pad_left,x],dims=-1)
-        x = torch.cat([x,pad_right],dims=-1)
+        x = torch.cat([pad_left,x],dim=-1)
+        x = torch.cat([x,pad_right],dim=-1)
         return x
 
     def get_equivalent_kernel_bias(self):