102 lines
3.1 KiB
Python
102 lines
3.1 KiB
Python
"""AMD Kimi-K2 GSM8K Completion Evaluation Test (8-GPU)
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Tests moonshotai/Kimi-K2-Instruct-0905 with GSM8K few-shot benchmark on MI325.
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Registry: nightly-amd-accuracy-8-gpu-kimi-k2 suite
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"""
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import os
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import unittest
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from types import SimpleNamespace
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import requests
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_amd_ci
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from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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from sglang.test.test_utils import (
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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is_in_ci,
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popen_launch_server,
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write_github_step_summary,
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)
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# Register for AMD CI - Kimi K2 accuracy test (~60 min)
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register_amd_ci(est_time=3600, suite="nightly-amd-accuracy-8-gpu-kimi-k2", nightly=True)
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KIMI_K2_MODEL_PATH = "moonshotai/Kimi-K2-Instruct-0905"
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SERVER_LAUNCH_TIMEOUT = 3600
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ACCURACY_THRESHOLD = 0.94
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class TestKimiK2EvalAMD(CustomTestCase):
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"""Kimi-K2 GSM8K Completion Evaluation Test for AMD MI325."""
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@classmethod
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def setUpClass(cls):
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cls.model = KIMI_K2_MODEL_PATH
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--tp",
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"8",
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"--decode-attention-backend",
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"triton",
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"--prefill-attention-backend",
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"aiter",
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"--trust-remote-code",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true}',
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]
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env = os.environ.copy()
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env["SGLANG_USE_AITER"] = "1"
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env["SGLANG_ROCM_FUSED_DECODE_MLA"] = "0"
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=SERVER_LAUNCH_TIMEOUT,
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other_args=other_args,
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env=env,
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_kimi_k2_gsm8k_accuracy(self):
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"""Test Kimi-K2 with GSM8K few-shot completion benchmark."""
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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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num_shots=8,
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data_path=None,
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num_questions=1319,
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parallel=1319,
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max_new_tokens=512,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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acc = metrics["accuracy"]
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passed = acc >= ACCURACY_THRESHOLD
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status = "✅ PASS" if passed else "❌ FAIL"
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print(f" accuracy={acc:.3f} threshold={ACCURACY_THRESHOLD} {status}")
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if is_in_ci():
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summary = "### Kimi-K2 Model (MI325)\n\n"
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summary += "| Model | TP | Accuracy | Threshold | Status |\n"
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summary += "| ----- | -- | -------- | --------- | ------ |\n"
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summary += f"| {KIMI_K2_MODEL_PATH} | 8 | {acc:.3f} | {ACCURACY_THRESHOLD} | {status} |\n"
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write_github_step_summary(summary)
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self.assertGreaterEqual(
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acc,
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ACCURACY_THRESHOLD,
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f"Kimi-K2 accuracy {acc:.3f} below threshold {ACCURACY_THRESHOLD}",
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)
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if __name__ == "__main__":
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unittest.main()
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