[AMD CI] Add moonshotai/Kimi-K2-Instruct-0905 testcases (#17656)
This commit is contained in:
4
.github/workflows/pr-test-amd.yml
vendored
4
.github/workflows/pr-test-amd.yml
vendored
@@ -657,7 +657,7 @@ jobs:
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fail-fast: false
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matrix:
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runner: [linux-mi35x-gpu-8]
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part: [0, 1]
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part: [0, 1, 2]
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runs-on: ${{matrix.runner}}
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steps:
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- name: Checkout code
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@@ -679,7 +679,7 @@ jobs:
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- name: Run test
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timeout-minutes: 60
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run: |
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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
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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
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stage-b-test-small-1-gpu-performance-amd:
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needs: [check-changes, call-gate, stage-a-test-1-amd]
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95
test/registered/amd/test_kimi_k2_instruct.py
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95
test/registered/amd/test_kimi_k2_instruct.py
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@@ -0,0 +1,95 @@
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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_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_K2_MODEL_PATH = "moonshotai/Kimi-K2-Instruct-0905"
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SERVER_LAUNCH_TIMEOUT = 3600
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class TestKimiK2Instruct0905(CustomTestCase):
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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_a_gsm8k(
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self,
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): # Append an "a" to make this test run first (alphabetically) to warm up the server
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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-Instruct-0905)\n"
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f'{metrics["accuracy"]=:.3f}\n'
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)
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self.assertGreater(metrics["accuracy"], 0.94)
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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-Instruct-0905)\n"
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f"{speed=:.2f} token/s\n"
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)
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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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