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Revert "[Perf] Enable FlashInfer top-k/top-p sampler by default" (#40376)#41316

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Revert "[Perf] Enable FlashInfer top-k/top-p sampler by default" (#40376)#41316
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vllm-agent:auto-revert/pr-40376

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Revert of #40376

This reverts commit b92ef9e (merge commit for PR #40376).

Original PR: #40376
Build: https://buildkite.com/vllm/ci/builds/63685

Reason

Enabling FlashInfer top-k/top-p sampler by default caused 3 new test failures in nightly CI build #63685:

  1. Engine (1 GPU)test_multi_abort assertion failure: aborted request generated 0 tokens
  2. Language Models Test (Extended Generation)test_models[bigcode/starcoder2-3b] logprob mismatches between HF and vLLM
  3. Quantizationtest_cpu_offload_compressed_tensors seeded sampling produces different results with cpu-offload enabled

All three failures are consistent with a change in sampling behavior introduced by switching from the Triton sampler to the FlashInfer sampler as the default.


Auto-generated by CI failure analyzer

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Code Review

This pull request transitions the FlashInfer sampler to an opt-in feature by changing its default environment variable setting and updates the sampling logic to prefer non-synchronizing operations when possible. It also removes extensive FlashInfer-specific robustness and distribution tests. A review comment identifies that switching to stochastic sampling in a prefix caching test could introduce flakiness and recommends returning to greedy sampling for deterministic verification.

"hello what is one plus one what is one plus one what is one plus one the answer is", # noqa: E501
]
sampling_params = SamplingParams(temperature=0.0, max_tokens=20)
sampling_params = SamplingParams(temperature=0.8, top_p=0.95, max_tokens=20)
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high

Using stochastic sampling (temperature=0.8) in a regression test for prefix caching can introduce flakiness and makes it harder to detect subtle state corruption. Since the LLM is initialized with a fixed seed (line 877), greedy sampling (temperature=0.0) would provide a more robust and deterministic check for the prefix caching logic, ensuring that the cached hidden states produce identical results to the non-cached path.

Suggested change
sampling_params = SamplingParams(temperature=0.8, top_p=0.95, max_tokens=20)
sampling_params = SamplingParams(temperature=0.0, max_tokens=20)

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arpera commented Apr 30, 2026

Engine (1 GPU) — test_multi_abort assertion failure: aborted request generated 0 tokens

This is a flake test. Similar problem: [Test] Fix flaky race condition in test_abort_final_step#38414. So this failure is not due to FI top-k patch.

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arpera commented Apr 30, 2026

Language Models Test (Extended Generation) — test_models[bigcode/starcoder2-3b] logprob mismatches between HF and vLLM

Flaky test. [Bug]: Language Models Test (Extended Generation) test_models[False-False-5-32-bigcode/starcoder2-3b] test issue #37304

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arpera commented Apr 30, 2026

Engine (1 GPU) — test_multi_abort assertion failure: aborted request generated 0 tokens

My bad, this test is NOT flaky. It simply has time time limit. The problem is that I forgot to warmup one of the kernels for top-k. PR with fix: [Perf] Warmup forward_native sampler kernel

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arpera commented Apr 30, 2026

Quantization — test_cpu_offload_compressed_tensors seeded sampling produces different results with cpu-offload enabled

Flaky test. See: [CI] Stabilize cpu offload compressed tensors test#41102

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arpera commented May 1, 2026

Upd. [Perf] Warmup forward_native sampler kernel was merged.

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arpera commented May 1, 2026

Since [Perf] Enable FlashInfer top-k/top-p sampler by default" (#40376) doesn't affect CI now, can we close this PR then?

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hmellor commented May 1, 2026

Closing as the only non-pre-existing-flaky test was forward fixed by #41375

@hmellor hmellor closed this May 1, 2026
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4 participants