601 lines
19 KiB
Python
601 lines
19 KiB
Python
import json
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import os
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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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from urllib.parse import urlparse
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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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)
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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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parsed_url = urlparse(DEFAULT_URL_FOR_TEST)
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cls.base_host = parsed_url.hostname
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base_port = str(parsed_url.port)
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cls.lb_port = base_port
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cls.prefill_port = f"{int(base_port) + 100}"
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cls.decode_port = f"{int(base_port) + 200}"
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cls.prefill_url = f"http://{cls.base_host}:{cls.prefill_port}"
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cls.decode_url = f"http://{cls.base_host}:{cls.decode_port}"
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cls.lb_url = f"http://{cls.base_host}:{cls.lb_port}"
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print(f"{cls.base_host=} {cls.lb_port=} {cls.prefill_port=} {cls.decode_port=}")
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# Non blocking start servers
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cls.start_prefill()
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cls.start_decode()
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# Block until both
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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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cls.lb_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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"--tp",
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"1",
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"--disaggregation-ib-device",
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"mlx5_roce0",
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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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"--tp",
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"1",
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"--base-gpu-id",
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"1",
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"--disaggregation-ib-device",
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"mlx5_roce1",
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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=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH):
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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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# wait for 5 seconds
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time.sleep(5)
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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=f"http://{self.base_host}",
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port=int(self.lb_port),
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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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def test_logprob(self):
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prompt = "The capital of france is "
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response = requests.post(
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self.lb_url + "/generate",
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json={
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"text": prompt,
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"sampling_params": {"temperature": 0},
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"return_logprob": True,
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"return_input_logprob": True,
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"logprob_start_len": 0,
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},
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)
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j = response.json()
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completion_tokens = j["meta_info"]["completion_tokens"]
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input_logprobs = j["meta_info"]["input_token_logprobs"]
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output_logprobs = j["meta_info"]["output_token_logprobs"]
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assert (
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len(output_logprobs) == completion_tokens
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), f"output_logprobs and completion_tokens should have the same length, but got {len(output_logprobs)} and {completion_tokens}"
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assert (
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len(input_logprobs) > 0
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), f"input_logprobs should have at least one token, but got {len(input_logprobs)}"
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def test_structured_output(self):
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json_schema = json.dumps(
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{
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"type": "object",
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"properties": {
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"name": {"type": "string", "pattern": "^[\\w]+$"},
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"population": {"type": "integer"},
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},
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"required": ["name", "population"],
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}
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)
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# JSON
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response = requests.post(
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f"{self.lb_url}/generate",
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json={
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"text": "Here is the information of the capital of France in the JSON format.\n",
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": 64,
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"json_schema": json_schema,
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},
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},
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)
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output = response.json()["text"]
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# ensure the output is a valid JSON
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json.loads(output)
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class TestDisaggregationMooncakeFailure(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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# set DISAGGREGATION_TEST_FAILURE_PROB to simulate failure
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os.environ["DISAGGREGATION_TEST_FAILURE_PROB"] = "0.05"
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST
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parsed_url = urlparse(DEFAULT_URL_FOR_TEST)
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cls.base_host = parsed_url.hostname
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base_port = str(parsed_url.port)
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cls.lb_port = base_port
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cls.prefill_port = f"{int(base_port) + 100}"
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cls.decode_port = f"{int(base_port) + 200}"
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cls.prefill_url = f"http://{cls.base_host}:{cls.prefill_port}"
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cls.decode_url = f"http://{cls.base_host}:{cls.decode_port}"
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cls.lb_url = f"http://{cls.base_host}:{cls.lb_port}"
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print(f"{cls.base_host=} {cls.lb_port=} {cls.prefill_port=} {cls.decode_port=}")
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# Non blocking start servers
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cls.start_prefill()
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cls.start_decode()
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# Block until both
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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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cls.lb_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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"--tp",
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"1",
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"--disaggregation-ib-device",
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"mlx5_roce0",
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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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"--tp",
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"1",
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"--base-gpu-id",
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"1",
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"--disaggregation-ib-device",
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"mlx5_roce1",
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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=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH):
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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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# unset DISAGGREGATION_TEST_FAILURE_PROB
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os.environ.pop("DISAGGREGATION_TEST_FAILURE_PROB")
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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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# wait for 5 seconds
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time.sleep(5)
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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=f"http://{self.base_host}",
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port=int(self.lb_port),
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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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# Expect lots of failure but the server cannot crash
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class TestDisaggregationMooncakeSpec(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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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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parsed_url = urlparse(DEFAULT_URL_FOR_TEST)
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cls.base_host = parsed_url.hostname
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base_port = str(parsed_url.port)
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cls.lb_port = base_port
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cls.prefill_port = f"{int(base_port) + 100}"
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cls.decode_port = f"{int(base_port) + 200}"
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cls.prefill_url = f"http://{cls.base_host}:{cls.prefill_port}"
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cls.decode_url = f"http://{cls.base_host}:{cls.decode_port}"
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cls.lb_url = f"http://{cls.base_host}:{cls.lb_port}"
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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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print(f"{cls.base_host=} {cls.lb_port=} {cls.prefill_port=} {cls.decode_port=}")
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# Non blocking start servers
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cls.start_prefill()
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cls.start_decode()
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# Block until both
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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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cls.lb_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=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH):
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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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"--tp",
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"2",
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"--disaggregation-ib-device",
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"mlx5_roce0,mlx5_roce1",
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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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"--tp",
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"2",
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"--base-gpu-id",
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"2",
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"--disaggregation-ib-device",
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"mlx5_roce2,mlx5_roce3",
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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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@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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# wait for 5 seconds
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time.sleep(5)
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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=2,
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host=f"http://{self.base_host}",
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port=int(self.lb_port),
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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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|
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class TestDisaggregationSimulatedRetract(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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os.environ["SGLANG_TEST_RETRACT"] = "true"
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST
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parsed_url = urlparse(DEFAULT_URL_FOR_TEST)
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cls.base_host = parsed_url.hostname
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base_port = str(parsed_url.port)
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cls.lb_port = base_port
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cls.prefill_port = f"{int(base_port) + 100}"
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cls.decode_port = f"{int(base_port) + 200}"
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cls.prefill_url = f"http://{cls.base_host}:{cls.prefill_port}"
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cls.decode_url = f"http://{cls.base_host}:{cls.decode_port}"
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cls.lb_url = f"http://{cls.base_host}:{cls.lb_port}"
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print(f"{cls.base_host=} {cls.lb_port=} {cls.prefill_port=} {cls.decode_port=}")
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# Non blocking start servers
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cls.start_prefill()
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cls.start_decode()
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# Block until both
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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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cls.lb_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 = [
|
|
"--trust-remote-code",
|
|
"--disaggregation-mode",
|
|
"prefill",
|
|
"--tp",
|
|
"1",
|
|
"--disaggregation-ib-device",
|
|
"mlx5_roce0",
|
|
]
|
|
cls.process_prefill = popen_launch_pd_server(
|
|
cls.model,
|
|
cls.prefill_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=prefill_args,
|
|
)
|
|
|
|
@classmethod
|
|
def start_decode(cls):
|
|
decode_args = [
|
|
"--trust-remote-code",
|
|
"--disaggregation-mode",
|
|
"decode",
|
|
"--tp",
|
|
"1",
|
|
"--base-gpu-id",
|
|
"1",
|
|
"--disaggregation-ib-device",
|
|
"mlx5_roce1",
|
|
]
|
|
cls.process_decode = popen_launch_pd_server(
|
|
cls.model,
|
|
cls.decode_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=decode_args,
|
|
)
|
|
|
|
@classmethod
|
|
def wait_server_ready(cls, url, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH):
|
|
start_time = time.perf_counter()
|
|
while True:
|
|
try:
|
|
response = requests.get(url)
|
|
if response.status_code == 200:
|
|
print(f"Server {url} is ready")
|
|
return
|
|
except Exception:
|
|
pass
|
|
|
|
if time.perf_counter() - start_time > timeout:
|
|
raise RuntimeError(f"Server {url} failed to start in {timeout}s")
|
|
time.sleep(1)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
os.environ.pop("SGLANG_TEST_RETRACT")
|
|
for process in [cls.process_lb, cls.process_decode, cls.process_prefill]:
|
|
if process:
|
|
try:
|
|
kill_process_tree(process.pid)
|
|
except Exception as e:
|
|
print(f"Error killing process {process.pid}: {e}")
|
|
|
|
# wait for 5 seconds
|
|
time.sleep(5)
|
|
|
|
def test_gsm8k(self):
|
|
args = SimpleNamespace(
|
|
num_shots=5,
|
|
data_path=None,
|
|
num_questions=200,
|
|
max_new_tokens=512,
|
|
parallel=128,
|
|
host=f"http://{self.base_host}",
|
|
port=int(self.lb_port),
|
|
)
|
|
metrics = run_eval_few_shot_gsm8k(args)
|
|
print(f"Evaluation metrics: {metrics}")
|
|
|
|
self.assertGreater(metrics["accuracy"], 0.62)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|