[ROCm][CI] fix test_common.py#48676
Merged
AndreasKaratzas merged 2 commits intoJul 15, 2026
Merged
Conversation
Signed-off-by: charlifu <charlifu@amd.com>
Contributor
Author
AndreasKaratzas
approved these changes
Jul 15, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Cause
Newer Transformers requires a tokenizer when generate() uses stop strings. That can come from:
Explicit stop_strings= in the call, or
The model’s generation_config.json
naver-hyperclovax/HyperCLOVAX-SEED-Think-14B (used in test_common.py) has this in its generation config:
"stop_strings": ["<|endofturn|>", "<|stop|>"]
HfRunner in tests/conftest.py was calling:
self.model.generate(**inputs, ...)
without tokenizer=, so Transformers raised that ValueError.
Fix
HfRunner now passes the tokenizer by default in all three model.generate() paths:
Callers can still override by passing tokenizer= explicitly (as vlm_utils/core.py already does).