[Bugfix] WeightsMapper: make orig_to_new_suffix idempotent#42805
[Bugfix] WeightsMapper: make orig_to_new_suffix idempotent#42805dparikh79 wants to merge 1 commit into
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Code Review
This pull request introduces an idempotency guard to the WeightsMapper class to prevent redundant suffix replacements, specifically addressing cases where a target suffix is a substring of the original suffix (e.g., 'head.weight' to 'lm_head.weight'). A regression test has also been added to verify this behavior. The review feedback points out that the current implementation incorrectly skips rules when new_key is an empty string (used for stripping suffixes) because endswith("") is always true in Python. A code suggestion was provided to use a truthiness check on new_key to ensure suffix removal rules still function correctly.
| if new_key is not None and key.endswith(new_key): | ||
| continue |
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The current idempotency guard incorrectly skips mapping rules when new_key is an empty string (e.g., when using the mapper to strip a suffix). In Python, key.endswith("") is always True for any string, so a rule with new_key="" will always be skipped by this logic.
Changing the condition to if new_key and key.endswith(new_key): correctly handles both None (ignoring the rule) and empty strings (allowing suffix removal), while still providing the intended idempotency for non-empty replacement strings.
| if new_key is not None and key.endswith(new_key): | |
| continue | |
| if new_key and key.endswith(new_key): | |
| continue |
`WeightsMapper.orig_to_new_suffix` is applied via
`name.endswith(suffix)`. For rules like `head.weight -> lm_head.weight`
(used by `_make_deepseek_v4_weights_mapper`) the operation isn't
idempotent: a canonical `lm_head.weight` tensor also ends with
`head.weight`, so the rule fires and produces `lm_lm_head.weight`. The
downstream lookup then fails with
ValueError: There is no module or parameter named 'lm_lm_head'
Guard the rule when the key already ends with `new_key`. This keeps the
intended remap (bare-suffix form) working and makes the rule a no-op on
tensor names that are already in the target form. Using `if new_key and
...` (not `is not None`) so that `None` (drop the tensor) and `""`
(pure suffix removal) both still reach the substitution branch.
Verified against the other in-tree suffix maps (gpt_oss, ernie, aria,
afmoe, mistral3); none of them depend on the previous non-idempotent
behavior.
Fixes vllm-project#42777
Signed-off-by: Dhruvil <dhruvilparikh79@gmail.com>
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Good catch on the empty-string case. |
Purpose
Closes #42777.
WeightsMapper.orig_to_new_suffixis applied vianame.endswith(suffix)+new_key.join(name.rsplit(suffix, 1)). The DeepSeek V4 mapper registershead.weight -> lm_head.weight, butlm_head.weightitself also ends withhead.weight, so a canonical tensor name gets rewritten tolm_lm_head.weightand the downstream lookup fails:The fix adds an idempotency guard inside the suffix loop: skip a rule when the key already ends with its
new_key. The intended remap from the bare-suffix form (head.weight -> lm_head.weight) still fires; the rule is just a no-op on names already in the target form.I considered the module-specific identity-entry workaround the issue author suggested (adding
"lm_head.weight": "lm_head.weight"to the suffix map), but it doesn't actually fix the bug. the loop doesn'tbreakafter applying a rule, so thehead.weight -> lm_head.weightrule still fires onlm_head.weightregardless of dict ordering. Guarding inside_map_nameis durable for the whole framework, and matches how the same anti-pattern could recur in any other model's suffix map.Duplicate-work check
No existing PR addresses this bug.
Test Plan
New regression test in
tests/models/test_utils.py::test_weights_mapper_suffix_is_idempotent:head.weight→ still maps tolm_head.weight(intended remap preserved).lm_head.weight→ passes through unchanged (bug fixed).model.lm_head.weight→ passes through unchanged.WeightsMapper.applyon both forms yields the same canonical name.Run:
I also walked every other in-tree caller of
orig_to_new_suffix(gpt_oss,ernie,aria,afmoe,mistral3,interns1_pro) and verified none of them depend on the previous non-idempotent behavior. most are dot-prefixed and well-anchored; the onlynew_key-as-suffix-of-key case is exactly the DSV4head.weightrule this fix is targeted at.Test Result
ruff check+ruff format --checkclean on both modified files.AI Assistance Disclosure
Per
AGENTS.md, disclosing that this PR was drafted with AI assistance (Claude Code). I reviewed every changed line, walked the suffix substitution semantics end-to-end, audited the six other in-treeorig_to_new_suffixcallers (gpt_oss.py,ernie.py,aria.py,afmoe.py,mistral3.py,interns1_pro.py) for regression risk, and ran the standalone Python repro across ten cases (bug repro + intended remap + four anti-regression cases + identity / None edge cases). The fix is the minimal framework-level idempotency guard; the alternative module-specific fix proposed in the issue body does not actually resolve the bug (traced in the PR Purpose section).