[4/N] (Elastic EP) Back up Expert Weights in DRAM (#17374)
Co-authored-by: UNIDY2002 <unidy2002@outlook.com>
This commit is contained in:
142
test/manual/ep/test_mooncake_expert_backup.py
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142
test/manual/ep/test_mooncake_expert_backup.py
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import time
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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.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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from sglang.test.server_fixtures.disaggregation_fixture import get_rdma_devices_args
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from sglang.test.test_utils import (
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DEFAULT_MODEL_NAME_FOR_TEST_MLA,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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CustomTestCase,
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popen_launch_pd_server,
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)
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ib_devices = get_rdma_devices_args()
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class TestBackup(CustomTestCase):
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extra_args = []
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
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cls.base_port = 20000
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cls.num_processes = 2
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# TODO (stage 100): in the future, implement a specified multiprocess launcher
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cls.processes = [
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popen_launch_pd_server(
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cls.model,
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f"http://127.0.0.1:{cls.base_port + i}",
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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"--trust-remote-code",
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"--tp",
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"4",
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"--enable-dp-attention",
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"--dp",
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"4",
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"--elastic-ep-backend",
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"mooncake",
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"--mooncake-ib-device",
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ib_devices,
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"--moe-a2a-backend",
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"mooncake",
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"--deepep-mode",
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"low_latency",
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"--moe-dense-tp-size",
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"1",
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"--enable-dp-lm-head",
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"--enable-two-batch-overlap",
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"--disable-custom-all-reduce",
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"--enable-elastic-expert-backup",
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"--enable-eplb",
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"--eplb-rebalance-num-iterations",
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"50",
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"--chunked-prefill-size",
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"512",
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"--cuda-graph-max-bs",
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"128",
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"--max-running-requests",
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"512",
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"--mem-fraction-static",
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"0.5",
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"--dist-init-addr",
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"127.0.0.1:5000",
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"--nnodes",
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f"{cls.num_processes}",
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"--node-rank",
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f"{i}",
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"--base-gpu-id",
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f"{i * 2}",
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],
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)
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for i in range(cls.num_processes)
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]
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server_ready = [False] * cls.num_processes
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start_time = time.perf_counter()
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with requests.Session() as session:
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while (
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time.perf_counter() - start_time < DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH
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and not all(server_ready)
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):
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for i, process in enumerate(cls.processes):
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return_code = process.poll()
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if return_code is not None:
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# Server failed to start (non-zero exit code) or crashed
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raise Exception(
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f"Server process exited with code {return_code}. "
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"Check server logs for errors."
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)
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try:
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headers = {
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"Content-Type": "application/json; charset=utf-8",
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}
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response = session.get(
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f"http://127.0.0.1:{cls.base_port + i}/health_generate",
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headers=headers,
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)
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if response.status_code == 200:
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server_ready[i] = True
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except requests.RequestException:
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pass
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return_code = process.poll()
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if return_code is not None:
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raise Exception(
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f"Server unexpectedly exits ({return_code=}). Usually there will be error logs describing the cause far above this line."
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)
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time.sleep(10)
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if not all(server_ready):
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for process in cls.processes:
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kill_process_tree(process.pid)
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raise TimeoutError("Server failed to start within the timeout period.")
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@classmethod
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def tearDownClass(cls):
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for process in cls.processes:
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kill_process_tree(process.pid)
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def test_gsm8k(self):
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=200,
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max_new_tokens=512,
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parallel=128,
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host="http://127.0.0.1",
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port=self.base_port,
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(metrics)
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self.assertGreater(metrics["accuracy"], 0.60)
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if __name__ == "__main__":
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unittest.main()
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