test: stabilize Gemma4 26B-A4B MTP GSM8K test with deterministic inference + tuned threshold (#26653)
Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -31,10 +31,11 @@ GSM8K_NUM_THREADS = 128
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GSM8K_SCORE_MARGIN = 0.03
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SERVER_LAUNCH_TIMEOUT = DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH * 3
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# Initial values are seeded from current Gemma4 GSM8K observations in the
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# cookbook. Replace each top-k entry with exact MTP first-200-sample scores as
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# CI calibration data becomes available.
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OBSERVED_GSM8K_SCORES = {1: 0.450, 3: 0.450}
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# Calibrated from deterministic-inference GSM8K runs (200 examples, 5-shot,
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# greedy, triton, TP=2). With --enable-deterministic-inference the per-topk
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# score is reproducible run-to-run (std=0 over N=20): topk=1 -> 0.445,
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# topk=3 -> 0.440.
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OBSERVED_GSM8K_SCORES = {1: 0.445, 3: 0.440}
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GSM8K_SCORE_THRESHOLD = min(OBSERVED_GSM8K_SCORES.values()) - GSM8K_SCORE_MARGIN
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ACCEPT_LENGTH_THRESHOLD = 1.5
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@@ -84,6 +85,9 @@ class TestGemma4MTP26BA4B(CustomTestCase):
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"--max-total-tokens",
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"32768",
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"--skip-server-warmup",
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# Batch-invariant kernels make the GSM8K score reproducible
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# run-to-run; without this the topk=3 score swings ~0.33-0.50.
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"--enable-deterministic-inference",
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]
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if TENSOR_PARALLEL_SIZE > 1:
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args += ["--tp-size", str(TENSOR_PARALLEL_SIZE)]
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