diff --git a/backends/cadence/aot/quantizer/fusion_pass.py b/backends/cadence/aot/quantizer/fusion_pass.py
index 7093ef19c3d..5be90a4f52e 100644
--- a/backends/cadence/aot/quantizer/fusion_pass.py
+++ b/backends/cadence/aot/quantizer/fusion_pass.py
@@ -432,12 +432,26 @@ def get_args_and_kwargs_mixed_w8a32_conv(
         torch.ops.aten.permute.default,
         (other_inputs[0], [0, 2, 1]),  # NCL -> NLC
     )
+    assert "val" in other_inputs[0].meta, "Missing val metadata on input node"
+    original_val = other_inputs[0].meta["val"]
+    assert original_val.fake_mode is not None, "fake_mode is None on input node"
+    with original_val.fake_mode:
+        transposed_inputs.meta["val"] = torch.ops.aten.permute.default(
+            original_val, [0, 2, 1]
+        )
     copy_node_metadata(transposed_inputs, other_inputs[0])
 
     transposed_weights = graph_module.graph.call_function(
         torch.ops.aten.permute.default,
         (weights_inputs[0], [2, 0, 1]),  # NCL -> LNC
     )
+    assert "val" in weights_inputs[0].meta, "Missing val metadata on weight node"
+    original_val = weights_inputs[0].meta["val"]
+    assert original_val.fake_mode is not None, "fake_mode is None on weight node"
+    with original_val.fake_mode:
+        transposed_weights.meta["val"] = torch.ops.aten.permute.default(
+            original_val, [2, 0, 1]
+        )
     copy_node_metadata(transposed_weights, weights_inputs[0])
 
     args = (