diff --git a/recipes_source/recipes/tuning_guide.py b/recipes_source/recipes/tuning_guide.py
index 0f82fb76d3d..dd615714a24 100644
--- a/recipes_source/recipes/tuning_guide.py
+++ b/recipes_source/recipes/tuning_guide.py
@@ -295,6 +295,10 @@ def fused_gelu(x):
 torch._C._jit_set_autocast_mode(False)
 
 with torch.no_grad(), torch.cpu.amp.autocast(cache_enabled=False, dtype=torch.bfloat16):
+    # Conv-BatchNorm folding for CNN-based Vision Models should be done with ``torch.fx.experimental.optimization.fuse`` when AMP is used
+    import torch.fx.experimental.optimization as optimization
+    # Please note that optimization.fuse need not be called when AMP is not used
+    model = optimization.fuse(model)
     model = torch.jit.trace(model, (example_input))
     model = torch.jit.freeze(model)
     # a couple of warm-up runs