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+    (6): ReLU(inplace)
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+    (9): ReLU(inplace)
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+        (1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1))
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+      )
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+        (3): ReLU(inplace)
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+        (6): InstanceNorm2d(64, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+      )
+    )
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+        (3): ReLU(inplace)
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+        (6): InstanceNorm2d(64, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+      )
+    )
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+        (3): ReLU(inplace)
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+        (6): InstanceNorm2d(64, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+      )
+    )
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+        (1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1))
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+        (3): ReLU(inplace)
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+        (6): InstanceNorm2d(64, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+      )
+    )
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+      )
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+        (3): ReLU(inplace)
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+        (6): InstanceNorm2d(64, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+      )
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+        (6): InstanceNorm2d(64, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+      )
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+    (5): InstanceNorm2d(64, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+    (6): ReLU(inplace)
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+    (9): ReLU(inplace)
+    (10): ReflectionPad2d((3, 3, 3, 3))
+    (11): Conv2d(64, 3, kernel_size=(7, 7), stride=(1, 1))
+    (12): Tanh()
+  )
+)Mapping_Model_with_mask(
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+    (2): ReLU(inplace)
+    (3): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
+    (4): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+    (5): ReLU(inplace)
+    (6): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
+    (7): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+    (8): ReLU(inplace)
+    (9): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
+    (10): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+    (11): ReLU(inplace)
+  )
+  (NL): NonLocalBlock2D_with_mask_Res(
+    (g): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
+    (W): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
+    (theta): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
+    (phi): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1))
+    (res_block): Sequential(
+      (0): ResnetBlock(
+        (conv_block): Sequential(
+          (0): ReflectionPad2d((1, 1, 1, 1))
+          (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1))
+          (2): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
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+          (6): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+        )
+      )
+      (1): ResnetBlock(
+        (conv_block): Sequential(
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+          (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1))
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+          (6): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+        )
+      )
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+        )
+      )
+    )
+  )
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+        (1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1))
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+        (3): ReLU(inplace)
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+        (6): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False)
+      )
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+      )
+    )
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+      )
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+  )
+)