diff --git a/distributed/tensor_parallelism/tensor_parallel_example.py b/distributed/tensor_parallelism/tensor_parallel_example.py
index 2731e8046b..0b9c884507 100755
--- a/distributed/tensor_parallelism/tensor_parallel_example.py
+++ b/distributed/tensor_parallelism/tensor_parallel_example.py
@@ -91,9 +91,6 @@ def forward(self, x):
 # create model and move it to GPU - init"cuda"_mesh has already mapped GPU ids.
 tp_model = ToyModel().to("cuda")
 
-# Create an optimizer for the parallelized module.
-lr = 0.25
-optimizer = torch.optim.AdamW(tp_model.parameters(), lr=lr, foreach=True)
 
 # Custom parallelization plan for the model
 tp_model = parallelize_module(
@@ -104,6 +101,12 @@ def forward(self, x):
         "out_proj": RowwiseParallel(),
     },
 )
+
+# Create an optimizer for the parallelized module.
+lr = 0.25
+optimizer = torch.optim.AdamW(tp_model.parameters(), lr=lr, foreach=True)
+
+
 # Perform a num of iterations of forward/backward
 # and optimizations for the sharded module.
 num_iters = 10