diff --git a/beginner_source/onnx/export_control_flow_model_to_onnx_tutorial.py b/beginner_source/onnx/export_control_flow_model_to_onnx_tutorial.py
index 617a1e94a36..c8057727132 100644
--- a/beginner_source/onnx/export_control_flow_model_to_onnx_tutorial.py
+++ b/beginner_source/onnx/export_control_flow_model_to_onnx_tutorial.py
@@ -96,19 +96,6 @@ def forward(self, x):
 except Exception as e:
     print(e)
 
-###############################################################################
-# Using :func:`torch.onnx.export` with JIT Tracing
-# ----------------------------------------
-#
-# When exporting the model using :func:`torch.onnx.export` with the dynamo=True
-# argument, the exporter defaults to using JIT tracing. This fallback allows
-# the model to export, but the resulting ONNX graph may not faithfully represent
-# the original model logic due to the limitations of tracing.
-
-
-onnx_program = torch.onnx.export(model, (x,), dynamo=True) 
-print(onnx_program.model)
-
 
 ###############################################################################
 # Suggested Patch: Refactoring with :func:`torch.cond`
@@ -182,4 +169,4 @@ def neg(x):
 #
 # .. toctree::
 #    :hidden:
-#
\ No newline at end of file
+#