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A minimal version.

I thought of hiding that mutable, global variable entire behind a pair of module-level getter/setter functions which would also force us to clean up rough ideas like this one but decided it wasn't important enough...

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2.5.1 is an emergency patch release to address known large regressions, moving this to 2.6.0

Verified for PyTorch 2.6 release candidate:

import torch
from torch._dynamo import compiled_autograd
compiled_autograd.compiled_autograd_enabled = True
compiled_autograd.reset()
assert(compiled_autograd.compiled_autograd_enabled == False)