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9 changes: 6 additions & 3 deletions distributed/tensor_parallelism/tensor_parallel_example.py
Original file line number Diff line number Diff line change
Expand Up @@ -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(
Expand All @@ -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
Expand Down