[Core][Bugfix][Perf] Introduce MQLLMEngine to avoid asyncio OH (#8157)
Co-authored-by: Nick Hill <nickhill@us.ibm.com> Co-authored-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com> Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com> Co-authored-by: Simon Mo <simon.mo@hey.com>
This commit is contained in:
committed by
GitHub
parent
9d104b5beb
commit
7c7714d856
244
tests/mq_llm_engine/test_error_handling.py
Normal file
244
tests/mq_llm_engine/test_error_handling.py
Normal file
@@ -0,0 +1,244 @@
|
||||
"""Test that various errors are handled properly."""
|
||||
|
||||
import asyncio
|
||||
import tempfile
|
||||
import time
|
||||
import uuid
|
||||
from unittest.mock import Mock
|
||||
|
||||
import pytest
|
||||
|
||||
from tests.mq_llm_engine.utils import RemoteMQLLMEngine
|
||||
from vllm import SamplingParams
|
||||
from vllm.engine.arg_utils import AsyncEngineArgs
|
||||
from vllm.engine.llm_engine import LLMEngine
|
||||
from vllm.engine.multiprocessing import MQEngineDeadError
|
||||
from vllm.engine.multiprocessing.engine import MQLLMEngine
|
||||
from vllm.entrypoints.openai.api_server import build_async_engine_client
|
||||
from vllm.entrypoints.openai.cli_args import make_arg_parser
|
||||
from vllm.lora.request import LoRARequest
|
||||
from vllm.usage.usage_lib import UsageContext
|
||||
from vllm.utils import FlexibleArgumentParser
|
||||
|
||||
MODEL = "google/gemma-1.1-2b-it"
|
||||
ENGINE_ARGS = AsyncEngineArgs(model=MODEL)
|
||||
RAISED_ERROR = KeyError
|
||||
RAISED_VALUE = "foo"
|
||||
|
||||
|
||||
@pytest.fixture(scope="function")
|
||||
def tmp_socket():
|
||||
with tempfile.TemporaryDirectory() as td:
|
||||
yield f"ipc://{td}/{uuid.uuid4()}"
|
||||
|
||||
|
||||
def run_with_evil_forward(engine_args: AsyncEngineArgs, ipc_path: str):
|
||||
# Make engine.
|
||||
engine = MQLLMEngine.from_engine_args(
|
||||
engine_args=engine_args,
|
||||
usage_context=UsageContext.UNKNOWN_CONTEXT,
|
||||
ipc_path=ipc_path)
|
||||
|
||||
# Raise error during first forward pass.
|
||||
engine.engine.model_executor.execute_model = Mock(
|
||||
side_effect=RAISED_ERROR(RAISED_VALUE))
|
||||
|
||||
# Run engine.
|
||||
engine.start()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_evil_forward(tmp_socket):
|
||||
with RemoteMQLLMEngine(engine_args=ENGINE_ARGS,
|
||||
ipc_path=tmp_socket,
|
||||
run_fn=run_with_evil_forward) as engine:
|
||||
|
||||
client = await engine.make_client()
|
||||
|
||||
# Server should be healthy after initial probe.
|
||||
await asyncio.sleep(2.0)
|
||||
await client.check_health()
|
||||
|
||||
# Throws an error in first forward pass.
|
||||
with pytest.raises(RAISED_ERROR):
|
||||
async for _ in client.generate(inputs="Hello my name is",
|
||||
sampling_params=SamplingParams(),
|
||||
request_id=uuid.uuid4()):
|
||||
pass
|
||||
assert client.errored
|
||||
|
||||
# Engine is errored, should get ENGINE_DEAD_ERROR.
|
||||
with pytest.raises(MQEngineDeadError):
|
||||
async for _ in client.generate(inputs="Hello my name is",
|
||||
sampling_params=SamplingParams(),
|
||||
request_id=uuid.uuid4()):
|
||||
pass
|
||||
assert client.errored
|
||||
|
||||
await asyncio.sleep(1.0)
|
||||
with pytest.raises(RAISED_ERROR):
|
||||
await client.check_health()
|
||||
assert client.errored
|
||||
|
||||
# Shutdown.
|
||||
client.close()
|
||||
|
||||
|
||||
def run_with_evil_model_executor_health(engine_args: AsyncEngineArgs,
|
||||
ipc_path: str):
|
||||
# Make engine.
|
||||
engine = MQLLMEngine.from_engine_args(
|
||||
engine_args=engine_args,
|
||||
usage_context=UsageContext.UNKNOWN_CONTEXT,
|
||||
ipc_path=ipc_path)
|
||||
|
||||
# Raise error during first forward pass.
|
||||
engine.engine.model_executor.check_health = Mock(side_effect=RAISED_ERROR)
|
||||
|
||||
# Run engine.
|
||||
engine.start()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_failed_health_check(tmp_socket):
|
||||
with RemoteMQLLMEngine(
|
||||
engine_args=ENGINE_ARGS,
|
||||
ipc_path=tmp_socket,
|
||||
run_fn=run_with_evil_model_executor_health) as engine:
|
||||
|
||||
client = await engine.make_client()
|
||||
assert client.is_running
|
||||
|
||||
# Health probe should throw RAISED_ERROR.
|
||||
await asyncio.sleep(15.)
|
||||
|
||||
with pytest.raises(RAISED_ERROR):
|
||||
await client.check_health()
|
||||
assert client.errored
|
||||
|
||||
# Generate call should throw ENGINE_DEAD_ERROR
|
||||
with pytest.raises(MQEngineDeadError):
|
||||
async for _ in client.generate(inputs="Hello my name is",
|
||||
sampling_params=SamplingParams(),
|
||||
request_id=uuid.uuid4()):
|
||||
pass
|
||||
|
||||
client.close()
|
||||
|
||||
|
||||
def run_with_evil_abort(engine_args: AsyncEngineArgs, ipc_path: str):
|
||||
# Make engine.
|
||||
engine = MQLLMEngine.from_engine_args(
|
||||
engine_args=engine_args,
|
||||
usage_context=UsageContext.UNKNOWN_CONTEXT,
|
||||
ipc_path=ipc_path)
|
||||
|
||||
# Raise error during abort call.
|
||||
engine.engine.abort_request = Mock(side_effect=RAISED_ERROR)
|
||||
|
||||
# Run engine.
|
||||
engine.start()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_failed_abort(tmp_socket):
|
||||
with RemoteMQLLMEngine(engine_args=ENGINE_ARGS,
|
||||
ipc_path=tmp_socket,
|
||||
run_fn=run_with_evil_abort) as engine:
|
||||
|
||||
client = await engine.make_client()
|
||||
assert client.is_running
|
||||
|
||||
# Firsh check health should work.
|
||||
await client.check_health()
|
||||
|
||||
# Trigger an abort on the client side.
|
||||
async def bad_abort_after_2s():
|
||||
await asyncio.sleep(2.0)
|
||||
await client.abort(request_id="foo")
|
||||
|
||||
# Trigger an abort in 2s from now.
|
||||
abort_task = asyncio.create_task(bad_abort_after_2s())
|
||||
|
||||
# Exception in abort() will happen during this generation.
|
||||
# This will kill the engine and should return ENGINE_DEAD_ERROR
|
||||
# with reference to the original KeyError("foo")
|
||||
with pytest.raises(MQEngineDeadError) as execinfo:
|
||||
async for _ in client.generate(
|
||||
inputs="Hello my name is",
|
||||
sampling_params=SamplingParams(max_tokens=2000),
|
||||
request_id=uuid.uuid4()):
|
||||
pass
|
||||
assert "KeyError" in repr(execinfo.value)
|
||||
assert client.errored
|
||||
|
||||
await abort_task
|
||||
|
||||
# This should raise the original error.
|
||||
with pytest.raises(RAISED_ERROR):
|
||||
await client.check_health()
|
||||
|
||||
client.close()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_bad_request(tmp_socket):
|
||||
with RemoteMQLLMEngine(engine_args=ENGINE_ARGS,
|
||||
ipc_path=tmp_socket) as engine:
|
||||
|
||||
client = await engine.make_client()
|
||||
|
||||
# Invalid request should fail, but not crash the server.
|
||||
with pytest.raises(ValueError):
|
||||
async for _ in client.generate(inputs="Hello my name is",
|
||||
sampling_params=SamplingParams(),
|
||||
request_id="abcd-1",
|
||||
lora_request=LoRARequest(
|
||||
"invalid-lora", 1,
|
||||
"invalid-path")):
|
||||
pass
|
||||
|
||||
# This request should be okay.
|
||||
async for _ in client.generate(inputs="Hello my name is",
|
||||
sampling_params=SamplingParams(),
|
||||
request_id="abcd-2"):
|
||||
pass
|
||||
|
||||
# Shutdown.
|
||||
client.close()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mp_crash_detection(monkeypatch):
|
||||
|
||||
parser = FlexibleArgumentParser(description="vLLM's remote OpenAI server.")
|
||||
parser = make_arg_parser(parser)
|
||||
args = parser.parse_args([])
|
||||
|
||||
# When LLMEngine is loaded, it will crash.
|
||||
def mock_init():
|
||||
raise ValueError
|
||||
|
||||
monkeypatch.setattr(LLMEngine, "__init__", mock_init)
|
||||
|
||||
start = time.perf_counter()
|
||||
async with build_async_engine_client(args):
|
||||
pass
|
||||
end = time.perf_counter()
|
||||
|
||||
assert end - start < 60, ("Expected vLLM to gracefully shutdown in <60s "
|
||||
"if there is an error in the startup.")
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mp_cuda_init():
|
||||
# it should not crash, when cuda is initialized
|
||||
# in the API server process
|
||||
import torch
|
||||
torch.cuda.init()
|
||||
parser = FlexibleArgumentParser(description="vLLM's remote OpenAI server.")
|
||||
parser = make_arg_parser(parser)
|
||||
args = parser.parse_args([])
|
||||
|
||||
async with build_async_engine_client(args):
|
||||
pass
|
||||
Reference in New Issue
Block a user