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[serge] Fix 8 integration tests for model grounding_dino failing with output_mismatch (tensor values differ (6), oth - #49886

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serge/fix/itf-307efcffda70-5639f4f0
Nov 10, 2026
Merged

zucchini-nlp merged 8 commits into
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serge/fix/itf-307efcffda70-5639f4f0

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@sergereview sergereview Bot commented Oct 22, 2026 •

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🤗 Transformers CI

fixes https://github.com/huggingface/transformers/issues/50465\

Original CI failure

  • Failure group: 8 integration tests for model grounding_dinofailing withoutput_mismatch (tensor values differ (6), other (2))
  • tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_cross_attention_mask [single-gpu] (output_mismatch, seen 21/21)
CI traceback — tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_cross_attention_mask
(line 787)  AssertionError: Tensor-likes are not close!

Where to watch it:

Relates to #49885

text_position_ids is int64 and encode_sinusoidal_position_embedding ends with .to(pos_tensor.dtype), truncating sinusoidal values to int64 and zeroing ~93% of text position embeddings (#47674). The reported diffs (up to 2.36 abs / 0.96 rel) are far beyond the ~0.03/0.5% hardware-drift precedent, and the CPU≠GPU / single≠batched mismatches at the same index (0,143,2) confirm a numerical bug, not drift.

Cast text_position_ids to text_features.dtype before encoding, matching the arange branch's float cast and the maintainer's guidance in #47675. This restores the intended float embeddings so existing test expectations become valid again.


✅ Verified on GPU

serge ran the targeted @slow test(s) on a GPU runner and opened this PR only after they passed with this patch. Each targeted test was run 5× on both the pre-patch and patched trees to rule out flakiness — the result held on every run.

Possibly related

Existing issues/PRs mentioning test_cross_attention_mask (keyword match — not verified to share a root cause):

  • #47675 — Fix Grounding DINO text position embeddings being truncated to int64 (PR, open, updated 2026-10-15)
  • #41693 — 🚨 Refactor ViT to updated standards (PR, closed, updated 2026-05-08)
  • #31828 — [GroundingDino] Fix grounding dino loss 🚨 (PR, closed, updated 2025-02-27)

This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging.

serge v0.1.0 · model: Qwen/Qwen3.8-27B:deepinfra · 21 LLM turns · 33 tool calls · 2366.2s · 951294 in / 84763 out tokens

🤖 mlinter review state

…th `output_mismatch` (tensor values differ (6), oth
@sergereview
sergereview Bot marked this pull request as ready for review October 22, 2026 23:23
@github-actions
github-actions Bot requested a review from zucchini-nlp October 22, 2026 23:23
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

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Same bug and fix as in the first "related prs list", citing @molbap 's review which is still relevant i think

#47675 (comment)

@askserge, can you check the comment and fix?

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run-slow: grounding_dino

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run-slow: grounding_dino, mm_grounding_dino

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Model linter — first pass

transformers-mlinter found 2 item(s) in the model files this PR touches. These are structural conventions a maintainer would otherwise flag by hand.

This is automated and advisory — it does not block merging.

rule count what it checks
TRF058 2 Buffers must be declared as nn.Buffer attributes, not registered with register_buffer().

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@guarin pls take a look since Pablo is off, and lets merge if it's fine 😄

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Logic lgtm! But the slow tests don't seem to pass yet no? I guess they might need new expectations due to the position id fix.

A fast regression test checking get_text_position_embeddings might avoid introducing the same issue again but maybe not needed if it is already covered by slow tests.

def generate_masks_with_special_tokens_and_transfer_map(input_ids: torch.LongTensor) -> tuple[Tensor, Tensor]:
def generate_masks_with_special_tokens_and_transfer_map(
input_ids: torch.LongTensor, special_tokens: torch.LongTensor | None = None
) -> tuple[Tensor, Tensor]:

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Could make special_tokens required here as it was already broken?

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Approving to not block the pr

…ations

- `generate_masks_with_special_tokens_and_transfer_map` now requires `special_tokens`
- drop the buffer comment
- add fast tests for phrase masks / position ids and for float text position embeddings
- update detection-head expectations for the position-id fix (grounding_dino + mm_grounding_dino)

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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run-slow: grounding_dino, mm_grounding_dino

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huh weird, could be the torch version or some new regression intorduced in the meanwhile 😆

I'll check and update the expectations, hoping it is just torch + numerical stuff

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run-slow: grounding_dino, mm_grounding_dino

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need to ssh to runners for that ig :(

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[For maintainers] Suggested jobs to run (before merge)

run-slow: grounding_dino, mm_grounding_dino

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Merging, i updated the test overall to not check just logits as it is super flaky. IMO we could check the outputs after post-process and sanity check for equivalence between vision/text hidden states

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ah i need an approve 😅
@guarin ?

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run-slow: grounding_dino, mm_grounding_dino

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zucchini-nlp added this pull request to the merge queue Nov 10, 2026
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CI (Nvidia + AMD)

Nvidia · ✅ No new failures 🎉👏 · ⚙️ Workflow · 📊 Dashboard

AMD · ✅ No new failures 🎉👏 · ⚙️ Workflow · 📊 Dashboard

Failures (4 pre-existing)

    Pre-existing failures (still failing) — 4 total:

        Same error (4):

        - grounding_dino:
            tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_grounding_dino_loss

        - mm_grounding_dino:
            tests/models/mm_grounding_dino/test_modeling_mm_grounding_dino.py::MMGroundingDinoModelTest::test_torch_export_dynamic
            tests/models/mm_grounding_dino/test_modeling_mm_grounding_dino.py::MMGroundingDinoModelTest::test_torch_export_static
            tests/models/mm_grounding_dino/test_modeling_mm_grounding_dino.py::MMGroundingDinoModelIntegrationTests::test_mm_grounding_dino_loss

Merged via the queue into main with commit 9e7f5cd Nov 10, 2026
49 checks passed
@zucchini-nlp
zucchini-nlp deleted the serge/fix/itf-307efcffda70-5639f4f0 branch November 10, 2026 09:40
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Grounding DINO: phrase delimiters get text position id 0 since v5.0 (the remaining divergence of #47674)

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