diff --git a/codes/models/archs/SwitchedResidualGenerator_arch.py b/codes/models/archs/SwitchedResidualGenerator_arch.py
index 28376bcf..4885a35a 100644
--- a/codes/models/archs/SwitchedResidualGenerator_arch.py
+++ b/codes/models/archs/SwitchedResidualGenerator_arch.py
@@ -99,8 +99,7 @@ class ConfigurableSwitchComputer(nn.Module):
         # And the switch itself, including learned scalars
         self.switch = BareConvSwitch(initial_temperature=init_temp, attention_norm=AttentionNorm(transform_count, accumulator_size=anorm_multiplier * transform_count) if attention_norm else None)
         self.switch_scale = nn.Parameter(torch.full((1,), float(1)))
-        if post_transform_block is not None:
-            self.post_transform_block = post_transform_block
+        self.post_transform_block = post_transform_block
         if post_switch_conv:
             self.post_switch_conv = ConvBnLelu(base_filters, base_filters, norm=False, bias=True)
             # The post_switch_conv gets a low scale initially. The network can decide to magnify it (or not)