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[BugFix] Fix flakiness in test_eagle_dp for PyTorch 2.10 #31915

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Merged
zou3519 merged 1 commit into from
Jan 8, 2026
Merged

[BugFix] Fix flakiness in test_eagle_dp for PyTorch 2.10 #31915

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4 changes: 3 additions & 1 deletion tests/v1/distributed/test_eagle_dp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,9 @@ async def test_run_eagle_dp(monkeypatch: pytest.MonkeyPatch):
)

prompt = "This is a test of data parallel with eagle"
num_expected_tokens = 100
# This test might be flaky, see
# https://github.com/vllm-project/vllm/issues/31913
num_expected_tokens = 20
Comment on lines +50 to +52
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@gemini-code-assist gemini-code-assist bot Jan 7, 2026

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high

While reducing num_expected_tokens from 100 to 20 might fix the test flakiness, it also reduces the test's coverage. A bug in the data parallel logic for Eagle that only manifests with longer sequences (more than 20 tokens) might now be missed. This could be problematic for ensuring correctness.

Consider investigating the root cause of the flakiness. If it's a timeout issue (see line 75), increasing the timeout might be a better solution. If it's a deeper race condition or non-determinism, that should be addressed directly. Reducing the test's scope should be a last resort. Reverting this change is suggested if a better fix can be found.

Suggested change
# This test might be flaky, see
# https://github.com/vllm-project/vllm/issues/31913
num_expected_tokens = 20
num_expected_tokens = 100

sampling_params = SamplingParams(
min_tokens=num_expected_tokens,
max_tokens=num_expected_tokens,
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