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docs: add fallback for torch.compile in torch_logs tutorial (#137285) #3528

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docs: add fallback for torch.compile in torch_logs tutorial (#137285) #3528

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17 changes: 11 additions & 6 deletions recipes_source/torch_logs.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,17 +32,22 @@

import torch

# exit cleanly if we are on a device that doesn't support torch.compile
if torch.cuda.get_device_capability() < (7, 0):
print("Skipping because torch.compile is not supported on this device.")
else:
@torch.compile()
# Use torch.compile if supported, fallback to eager mode otherwise
try:
@torch.compile
def fn(x, y):
z = x + y
return z + 2

inputs = (torch.ones(2, 2, device="cuda"), torch.zeros(2, 2, device="cuda"))
except (RuntimeError, AssertionError):
print("⚠️ torch.compile is not supported on this system. Falling back to eager mode.")

def fn(x, y):
z = x + y
return z + 2

inputs = (torch.ones(2, 2, device="cuda"), torch.zeros(2, 2, device="cuda"))
inputs = (torch.ones(2, 2), torch.zeros(2, 2))


# print separator and reset dynamo
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