diff --git a/codes/models/archs/SPSR_arch.py b/codes/models/archs/SPSR_arch.py
index 8aeb4e01..8ca5ba43 100644
--- a/codes/models/archs/SPSR_arch.py
+++ b/codes/models/archs/SPSR_arch.py
@@ -164,6 +164,9 @@ class SPSRNet(nn.Module):
         
 
     def forward(self, x: torch.Tensor):
+        # The attention_maps debugger outputs <x>. Save that here.
+        self.lr = x.detach().cpu()
+
         x_grad = self.get_g_nopadding(x)
 
         b, f, w, h = x.shape
@@ -332,6 +335,9 @@ class SwitchedSpsrWithRef2(nn.Module):
         self.final_temperature_step = 10000
 
     def forward(self, x, ref, center_coord):
+        # The attention_maps debugger outputs <x>. Save that here.
+        self.lr = x.detach().cpu()
+
         ref_stds = []
         noise_stds = []
 
@@ -391,7 +397,7 @@ class SwitchedSpsrWithRef2(nn.Module):
             temp = max(1, 1 + self.init_temperature *
                        (self.final_temperature_step - step) / self.final_temperature_step)
             self.set_temperature(temp)
-            if step % 200 == 0:
+            if step % 500 == 0:
                 output_path = os.path.join(experiments_path, "attention_maps")
                 prefix = "amap_%i_a%i_%%i.png"
                 [save_attention_to_image_rgb(output_path, self.attentions[i], self.transformation_counts, prefix % (step, i), step, output_mag=False) for i in range(len(self.attentions))]
@@ -476,6 +482,9 @@ class Spsr4(nn.Module):
         self.final_temperature_step = 10000
 
     def forward(self, x, embedding):
+        # The attention_maps debugger outputs <x>. Save that here.
+        self.lr = x.detach().cpu()
+
         noise_stds = []
 
         x_grad = self.get_g_nopadding(x)
@@ -524,7 +533,7 @@ class Spsr4(nn.Module):
             temp = max(1, 1 + self.init_temperature *
                        (self.final_temperature_step - step) / self.final_temperature_step)
             self.set_temperature(temp)
-            if step % 200 == 0:
+            if step % 500 == 0:
                 output_path = os.path.join(experiments_path, "attention_maps")
                 prefix = "amap_%i_a%i_%%i.png"
                 [save_attention_to_image_rgb(output_path, self.attentions[i], self.transformation_counts, prefix % (step, i), step, output_mag=False) for i in range(len(self.attentions))]
@@ -606,8 +615,12 @@ class Spsr5(nn.Module):
         self.attentions = None
         self.init_temperature = init_temperature
         self.final_temperature_step = 10000
+        self.lr = None
 
     def forward(self, x, embedding):
+        # The attention_maps debugger outputs <x>. Save that here.
+        self.lr = x.detach().cpu()
+
         noise_stds = []
 
         x_grad = self.get_g_nopadding(x)
@@ -656,7 +669,7 @@ class Spsr5(nn.Module):
             temp = max(1, 1 + self.init_temperature *
                        (self.final_temperature_step - step) / self.final_temperature_step)
             self.set_temperature(temp)
-            if step % 200 == 0:
+            if step % 500 == 0:
                 output_path = os.path.join(experiments_path, "attention_maps")
                 prefix = "amap_%i_a%i_%%i.png"
                 [save_attention_to_image_rgb(output_path, self.attentions[i], self.transformation_counts, prefix % (step, i), step, output_mag=False) for i in range(len(self.attentions))]