[AMD CI] Add moonshotai/Kimi-K2-Instruct-0905 testcases (#17656)

This commit is contained in:
sogalin
2026-01-26 18:12:34 +08:00
committed by GitHub
parent 5844cb2fd8
commit 738b1ac988
2 changed files with 97 additions and 2 deletions

View File

@@ -657,7 +657,7 @@ jobs:
fail-fast: false
matrix:
runner: [linux-mi35x-gpu-8]
part: [0, 1]
part: [0, 1, 2]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout code
@@ -679,7 +679,7 @@ jobs:
- name: Run test
timeout-minutes: 60
run: |
bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-c-test-large-8-gpu-amd-mi35x --auto-partition-id ${{ matrix.part }} --auto-partition-size 2 --timeout-per-file 3600
bash scripts/ci/amd/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-c-test-large-8-gpu-amd-mi35x --auto-partition-id ${{ matrix.part }} --auto-partition-size 3 --timeout-per-file 3600
stage-b-test-small-1-gpu-performance-amd:
needs: [check-changes, call-gate, stage-a-test-1-amd]

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@@ -0,0 +1,95 @@
import os
import unittest
from types import SimpleNamespace
import requests
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_amd_ci
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.send_one import BenchArgs, send_one_prompt
from sglang.test.test_utils import (
DEFAULT_URL_FOR_TEST,
CustomTestCase,
is_in_ci,
popen_launch_server,
write_github_step_summary,
)
register_amd_ci(est_time=3600, suite="stage-c-test-large-8-gpu-amd-mi35x")
KIMI_K2_MODEL_PATH = "moonshotai/Kimi-K2-Instruct-0905"
SERVER_LAUNCH_TIMEOUT = 3600
class TestKimiK2Instruct0905(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = KIMI_K2_MODEL_PATH
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = [
"--tp",
"8",
"--decode-attention-backend",
"triton",
"--prefill-attention-backend",
"aiter",
"--trust-remote-code",
"--model-loader-extra-config",
'{"enable_multithread_load": true}',
]
env = os.environ.copy()
env["SGLANG_USE_AITER"] = "1"
env["SGLANG_ROCM_FUSED_DECODE_MLA"] = "0"
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=SERVER_LAUNCH_TIMEOUT,
other_args=other_args,
env=env,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_a_gsm8k(
self,
): # Append an "a" to make this test run first (alphabetically) to warm up the server
requests.get(self.base_url + "/flush_cache")
args = SimpleNamespace(
num_shots=8,
data_path=None,
num_questions=1319,
parallel=1319,
max_new_tokens=512,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
metrics = run_eval_few_shot_gsm8k(args)
print(f"{metrics=}")
if is_in_ci():
write_github_step_summary(
f"### test_gsm8k (Kimi-K2-Instruct-0905)\n"
f'{metrics["accuracy"]=:.3f}\n'
)
self.assertGreater(metrics["accuracy"], 0.94)
def test_bs_1_speed(self):
args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
_, speed = send_one_prompt(args)
print(f"{speed=:.2f}")
if is_in_ci():
write_github_step_summary(
f"### test_bs_1_speed (Kimi-K2-Instruct-0905)\n"
f"{speed=:.2f} token/s\n"
)
self.assertGreater(speed, 45)
if __name__ == "__main__":
unittest.main()