282 lines
8.6 KiB
Python
282 lines
8.6 KiB
Python
import subprocess
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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.test_utils import (
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DEFAULT_EAGLE_DRAFT_MODEL_FOR_TEST,
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DEFAULT_EAGLE_TARGET_MODEL_FOR_TEST,
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DEFAULT_MODEL_NAME_FOR_TEST,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_pd_server,
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run_with_timeout,
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)
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# skip the test because we have different_tp test
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@unittest.skip("skip the test because we have different_tp test")
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class TestDisaggregationAccuracy(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST
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cls.base_host = "127.0.0.1"
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cls.base_port = int(DEFAULT_URL_FOR_TEST.split(":")[-1])
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cls.lb_url = DEFAULT_URL_FOR_TEST
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cls.prefill_url = f"http://{cls.base_host}:{cls.base_port + 100}"
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cls.decode_url = f"http://{cls.base_host}:{cls.base_port + 200}"
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run_with_timeout(cls.start_prefill, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH)
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run_with_timeout(cls.start_decode, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH)
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cls.wait_server_ready(cls.prefill_url + "/health")
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cls.wait_server_ready(cls.decode_url + "/health")
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lb_command = [
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"python3",
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"-m",
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"sglang.srt.disaggregation.mini_lb",
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"--prefill",
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cls.prefill_url,
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"--decode",
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cls.decode_url,
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"--host",
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cls.base_host,
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"--port",
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str(cls.base_port),
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]
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print("Starting load balancer:", " ".join(lb_command))
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cls.process_lb = subprocess.Popen(
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lb_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE
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)
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cls.wait_server_ready(cls.lb_url + "/health")
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@classmethod
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def start_prefill(cls):
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prefill_args = [
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"--trust-remote-code",
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"--disaggregation-mode",
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"prefill",
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"--host",
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cls.base_host,
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"--port",
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str(cls.base_port + 100),
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"--tp",
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"4",
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# "--disaggregation-ib-device",
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# "mlx5_roce0,mlx5_roce1,mlx5_roce2,mlx5_roce3",
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]
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cls.process_prefill = popen_launch_pd_server(
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cls.model,
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cls.prefill_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=prefill_args,
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)
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@classmethod
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def start_decode(cls):
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decode_args = [
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"--trust-remote-code",
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"--disaggregation-mode",
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"decode",
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"--host",
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cls.base_host,
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"--port",
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str(cls.base_port + 200),
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"--tp",
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"4",
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"--base-gpu-id",
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"4",
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# "--disaggregation-ib-device",
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# "mlx5_roce4,mlx5_roce5,mlx5_roce6,mlx5_roce7",
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]
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cls.process_decode = popen_launch_pd_server(
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cls.model,
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cls.decode_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=decode_args,
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)
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@classmethod
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def wait_server_ready(cls, url, timeout=60):
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start_time = time.perf_counter()
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while True:
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try:
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response = requests.get(url)
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if response.status_code == 200:
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print(f"Server {url} is ready")
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return
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except Exception:
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pass
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if time.perf_counter() - start_time > timeout:
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raise RuntimeError(f"Server {url} failed to start in {timeout}s")
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time.sleep(1)
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@classmethod
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def tearDownClass(cls):
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for process in [cls.process_lb, cls.process_decode, cls.process_prefill]:
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if process:
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try:
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kill_process_tree(process.pid)
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except Exception as e:
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print(f"Error killing process {process.pid}: {e}")
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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=int(self.lb_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(f"Evaluation metrics: {metrics}")
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self.assertGreater(metrics["accuracy"], 0.62)
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class TestDisaggregationSpecAccuracy(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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cls.model = DEFAULT_EAGLE_TARGET_MODEL_FOR_TEST
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cls.draft_model = DEFAULT_EAGLE_DRAFT_MODEL_FOR_TEST
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cls.base_host = "127.0.0.1"
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cls.base_port = int(DEFAULT_URL_FOR_TEST.split(":")[-1])
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cls.lb_url = DEFAULT_URL_FOR_TEST
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cls.prefill_url = f"http://{cls.base_host}:{cls.base_port + 100}"
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cls.decode_url = f"http://{cls.base_host}:{cls.base_port + 200}"
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cls.spec_args = [
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-draft-model-path",
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cls.draft_model,
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"4",
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"--speculative-num-draft-tokens",
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"16",
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"--cuda-graph-max-bs",
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"8",
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]
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run_with_timeout(cls.start_prefill, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH)
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run_with_timeout(cls.start_decode, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH)
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cls.wait_server_ready(cls.prefill_url + "/health")
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cls.wait_server_ready(cls.decode_url + "/health")
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lb_command = [
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"python3",
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"-m",
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"sglang.srt.disaggregation.mini_lb",
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"--prefill",
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cls.prefill_url,
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"--decode",
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cls.decode_url,
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"--host",
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cls.base_host,
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"--port",
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str(cls.base_port),
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]
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print("Starting load balancer:", " ".join(lb_command))
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cls.process_lb = subprocess.Popen(
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lb_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE
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)
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cls.wait_server_ready(cls.lb_url + "/health")
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@classmethod
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def wait_server_ready(cls, url, timeout=60):
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start_time = time.perf_counter()
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while True:
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try:
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response = requests.get(url)
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if response.status_code == 200:
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print(f"Server {url} is ready")
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return
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except Exception:
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pass
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if time.perf_counter() - start_time > timeout:
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raise RuntimeError(f"Server {url} failed to start in {timeout}s")
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time.sleep(1)
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@classmethod
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def start_prefill(cls):
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prefill_args = [
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"--trust-remote-code",
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"--disaggregation-mode",
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"prefill",
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"--host",
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cls.base_host,
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"--port",
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str(cls.base_port + 100),
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"--tp",
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"4",
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# "--disaggregation-ib-device",
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# "mlx5_roce0,mlx5_roce1,mlx5_roce2,mlx5_roce3",
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] + cls.spec_args
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cls.process_prefill = popen_launch_pd_server(
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cls.model,
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cls.prefill_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=prefill_args,
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)
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@classmethod
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def start_decode(cls):
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decode_args = [
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"--trust-remote-code",
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"--disaggregation-mode",
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"decode",
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"--host",
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cls.base_host,
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"--port",
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str(cls.base_port + 200),
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"--tp",
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"4",
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"--base-gpu-id",
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"4",
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# "--disaggregation-ib-device",
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# "mlx5_roce4,mlx5_roce5,mlx5_roce6,mlx5_roce7",
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] + cls.spec_args
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cls.process_decode = popen_launch_pd_server(
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cls.model,
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cls.decode_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=decode_args,
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)
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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=4, # TODO: 128 crashes the decode
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host="http://127.0.0.1",
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port=int(self.lb_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(f"Evaluation metrics: {metrics}")
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self.assertGreater(metrics["accuracy"], 0.20)
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if __name__ == "__main__":
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unittest.main()
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