116 lines
3.4 KiB
Python
116 lines
3.4 KiB
Python
"""Kimi-K2.5-MXFP4 aiter MLA backend test (4-GPU, FP8 KV cache)
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PR-level test for Kimi-K2.5-MXFP4 with aiter unified attention backend
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and fp8_e4m3 KV cache on MI35x.
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NOTE: TP must be <= 4 for Kimi-K2.5 with the aiter MLA kernel.
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Kimi-K2.5 has num_attention_heads=64; with tp_size=8 that gives
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64/8 = 8 heads per GPU, but the aiter ASM MLA kernel requires
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heads_per_gpu % 16 == 0. With tp_size=4: 64/4 = 16 heads, which
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satisfies the constraint. (DeepSeek-R1/V3 has 128 heads so TP=8
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yields 128/8 = 16 heads and works fine.)
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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.send_one import BenchArgs, send_one_prompt
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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_amd_ci,
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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_amd_ci(est_time=3600, suite="stage-c-test-large-8-gpu-amd-mi35x")
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KIMI_K25_MXFP4_MODEL_PATH = "amd/Kimi-K2.5-MXFP4"
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SERVER_LAUNCH_TIMEOUT = 3600
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class TestKimiK25MXFP4(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = KIMI_K25_MXFP4_MODEL_PATH
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cls.base_url = DEFAULT_URL_FOR_TEST
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# TP=4 required: 64 attn heads / 4 = 16 heads per GPU (aiter MLA needs % 16 == 0)
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other_args = [
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"--tp",
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"4",
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"--attention-backend",
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"aiter",
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"--kv-cache-dtype",
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"fp8_e4m3",
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"--chunked-prefill-size",
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"131072",
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"--disable-radix-cache",
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"--mem-fraction-static",
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"0.8",
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"--max-running-requests",
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"64",
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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_AITER_MLA_PERSIST"] = "1"
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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_a_gsm8k(self):
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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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print(f"{metrics=}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_gsm8k (Kimi-K2.5-MXFP4)\n" f'{metrics["accuracy"]=:.3f}\n'
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)
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self.assertGreater(metrics["accuracy"], 0.92)
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def test_bs_1_speed(self):
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args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
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_, speed = send_one_prompt(args)
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print(f"{speed=:.2f}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_bs_1_speed (Kimi-K2.5-MXFP4)\n" f"{speed=:.2f} token/s\n"
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)
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if is_in_amd_ci():
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self.assertGreater(speed, 30)
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else:
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self.assertGreater(speed, 45)
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if __name__ == "__main__":
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unittest.main()
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