[WIP] Add: Acceptance length tests for speculators#136
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…n validation Add parameterized pytest tests to detect acceptance length regressions in EAGLE3 speculative decoding. Tests run inference on MT-Bench dataset (80 prompts) and assert both mean and per-position acceptance lengths are within 2% tolerance of baseline. Models tested: - Llama-3.1-8B-Instruct (AL: 2.60) - Qwen3-8B (AL: 2.26) - GPT-OSS-20B (AL: 2.56) Signed-off-by: rahul-tuli <rtuli@redhat.com>
Signed-off-by: rahul-tuli <rtuli@redhat.com>
Signed-off-by: rahul-tuli <rtuli@redhat.com>
Signed-off-by: rahul-tuli <rtuli@redhat.com>
- Use VllmRunner context manager instead of direct LLM instantiation - Use monkeypatch.context() for proper env var scoping - Use AcceptanceMetrics TypedDict in return statement - Remove docstrings from TypedDict and dataclass definitions - Remove inline comments from constants - Remove prototyping skip condition (all configs have baselines) - Fix gpt-oss-20b expected position 2 value (0.3220 -> 0.3337) Signed-off-by: rahul-tuli <rtuli@redhat.com>
Signed-off-by: rahul-tuli <rtuli@redhat.com>
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Signed-off-by: yisheng <yi.sheng@intel.com>
vllm-project#32603) Signed-off-by: linhaifeng <1371675203@qq.com>
Signed-off-by: whx-sjtu <2952154980@qq.com>
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Adds parameterized pytest tests to detect acceptance length regressions in EAGLE3 speculative decoding. These tests ensure that new commits do not degrade speculative decoding performance.
Changes
tests/v1/spec_decode/test_acceptance_length.py: New test file with parameterized tests for EAGLE3 model pairsModels Tested
meta-llama/Llama-3.1-8B-InstructRedHatAI/Llama-3.1-8B-Instruct-speculator.eagle3Qwen/Qwen3-8BRedHatAI/Qwen3-8B-speculator.eagle3openai/gpt-oss-20bRedHatAI/gpt-oss-20b-speculator.eagle3Test Design
philschmid/mt-benchdataset (80 prompts)llm.get_metrics()Test Plan
EAGLE3_MODEL_CONFIGSwith baseline valuesCUDA_VISIBLE_DEVICES=3 pytest tests/v1/spec_decode/test_acceptance_length.py -v -sUsage