Use nn_module_stack instead #3268
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3268
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| @tugsbayasgalan has exported this pull request. If you are a Meta employee, you can view the originating Diff in D85959415. |
jerryzh168 added the topic: not user facing 
angelayi approved these changes Oct 31, 2025
andrewor14 reviewed Oct 31, 2025
| node.target == torch.ops.aten.add_.Tensor | ||
| and node.args[0].op == "get_attr" | ||
| and node.args[1] == 1 | ||
| and torch.nn.modules.batchnorm.BatchNorm2d |
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I think this needs to be a string instead according to this:
Summary: I don't know why source_fn_stack is disappeared but i think relying on nn_module_stack is better Reviewed By: angelayi Differential Revision: D85959415
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Summary: I don't know why source_fn_stack is disappeared but i think relying on nn_module_stack is better
Differential Revision: D85959415