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de509abe1c
Summary: Dedup the data-dependent errors based on the stacktrace it points to. Right now we just display every propagate-real-tensor log that shows up, but we actually can dedup them if they are due to the same piece of code (ex. there could multiple calls to a piece of code that does some data dependent computation). This occurred when trying out draft export on the PT2I model zoo. For a specific model, previously we would get ~3k data dependent errors, but after deduping based on the stacktrace we now only get 4 errors. Test Plan: CI Differential Revision: D65374254 Pull Request resolved: https://github.com/pytorch/pytorch/pull/139540 Approved by: https://github.com/pianpwk, https://github.com/zou3519 |
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| .. | ||
| experimental | ||
| passes | ||
| __init__.py | ||
| _draft_export.py | ||
| _remove_auto_functionalized_pass.py | ||
| _remove_effect_tokens_pass.py | ||
| _safeguard.py | ||
| _swap.py | ||
| _trace.py | ||
| _tree_utils.py | ||
| _unlift.py | ||
| custom_obj.py | ||
| decomp_utils.py | ||
| dynamic_shapes.py | ||
| exported_program.py | ||
| graph_signature.py | ||
| unflatten.py | ||