diff --git a/lumin/nn/models/blocks/conv_blocks.py b/lumin/nn/models/blocks/conv_blocks.py
index 40c86e0..71f1068 100644
--- a/lumin/nn/models/blocks/conv_blocks.py
+++ b/lumin/nn/models/blocks/conv_blocks.py
@@ -327,6 +327,9 @@ def __init__(self, n_in:int, r:int, act:str='relu', lookup_init:Callable[[str,Op
         super().__init__()
         self.n_in,self.r,self.act,self.lookup_init,self.lookup_act = n_in,r,act,lookup_init,lookup_act
         self.layers = self._get_layers()
+        self._set_pooling()
+
+    def _set_pooling(self) -> None:
         self.sz = [1]
         self.pool = nn.AdaptiveAvgPool1d(self.sz)
 
@@ -370,11 +373,7 @@ class SEBlock2d(SEBlock1d):
         lookup_act: function taking choice of activation function and returning an activation function layer
     '''
 
-    def __init__(self, n_in:int, r:int, act:str='relu', lookup_init:Callable[[str,Optional[int],Optional[int]],Callable[[Tensor],None]]=lookup_normal_init,
-                 lookup_act:Callable[[str],Any]=lookup_act):
-        super().__init__()
-        self.n_in,self.r,self.act,self.lookup_init,self.lookup_act = n_in,r,act,lookup_init,lookup_act
-        self.layers = self._get_layers()
+    def _set_pooling(self) -> None:
         self.sz = [1,1]
         self.pool = nn.AdaptiveAvgPool2d(self.sz)
 
@@ -393,10 +392,6 @@ class SEBlock3d(SEBlock1d):
         lookup_act: function taking choice of activation function and returning an activation function layer
     '''
 
-    def __init__(self, n_in:int, r:int, act:str='relu', lookup_init:Callable[[str,Optional[int],Optional[int]],Callable[[Tensor],None]]=lookup_normal_init,
-                 lookup_act:Callable[[str],Any]=lookup_act):
-        super().__init__()
-        self.n_in,self.r,self.act,self.lookup_init,self.lookup_act = n_in,r,act,lookup_init,lookup_act
-        self.layers = self._get_layers()
+    def _set_pooling(self) -> None:
         self.sz = [1,1,1]
         self.pool = nn.AdaptiveAvgPool3d(self.sz)