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Adjust torch.compile() best practices #3336

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Adjust torch.compile() best practices #3336

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Adjust torch.compile() best practices
punkeel Apr 21, 2025
bc3e1e0
Merge branch 'main' into patch-1
svekars Apr 21, 2025
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17 changes: 13 additions & 4 deletions intermediate_source/torch_compile_tutorial.py
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Original file line number Diff line number Diff line change
Expand Up @@ -101,8 +101,11 @@ def forward(self, x):
return torch.nn.functional.relu(self.lin(x))

mod = MyModule()
opt_mod = torch.compile(mod)
print(opt_mod(t))
mod.compile()
print(mod(t))
## or:
# opt_mod = torch.compile(mod)
# print(opt_mod(t))

######################################################################
# torch.compile and Nested Calls
Expand Down Expand Up @@ -135,8 +138,8 @@ def forward(self, x):
return torch.nn.functional.relu(self.outer_lin(x))

outer_mod = OuterModule()
opt_outer_mod = torch.compile(outer_mod)
print(opt_outer_mod(t))
outer_mod.compile()
print(outer_mod(t))

######################################################################
# We can also disable some functions from being compiled by using
Expand Down Expand Up @@ -197,6 +200,12 @@ def outer_function():
# 4. **Compile Leaf Functions First:** In complex models with multiple nested
# functions and modules, start by compiling the leaf functions or modules first.
# For more information see `TorchDynamo APIs for fine-grained tracing <https://pytorch.org/docs/stable/torch.compiler_fine_grain_apis.html>`__.
#
# 5. **Prefer `mod.compile()` over `torch.compile(mod)`:** Avoids `_orig_` prefix issues in `state_dict`.
#
# 6. **Use `fullgraph=True` to catch graph breaks:** Helps ensure end-to-end compilation, maximizing speedup
# and compatibility with `torch.export`.


######################################################################
# Demonstrating Speedups
Expand Down