mirror of https://github.com/vllm-project/vllm.git
363 lines
11 KiB
Python
363 lines
11 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import json
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from argparse import ArgumentError, ArgumentTypeError
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from contextlib import nullcontext
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from dataclasses import dataclass, field
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from typing import Literal, Optional
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import pytest
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from vllm.config import CompilationConfig, config
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from vllm.engine.arg_utils import (EngineArgs, contains_type, get_kwargs,
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get_type, is_not_builtin, is_type,
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literal_to_kwargs, nullable_kvs,
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optional_type, parse_type)
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from vllm.utils import FlexibleArgumentParser
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@pytest.mark.parametrize(("type", "value", "expected"), [
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(int, "42", 42),
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(float, "3.14", 3.14),
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(str, "Hello World!", "Hello World!"),
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(json.loads, '{"foo":1,"bar":2}', {
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"foo": 1,
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"bar": 2
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}),
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(json.loads, "foo=1,bar=2", {
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"foo": 1,
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"bar": 2
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}),
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])
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def test_parse_type(type, value, expected):
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parse_type_func = parse_type(type)
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context = nullcontext()
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if value == "foo=1,bar=2":
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context = pytest.warns(DeprecationWarning)
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with context:
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assert parse_type_func(value) == expected
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def test_optional_type():
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optional_type_func = optional_type(int)
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assert optional_type_func("None") is None
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assert optional_type_func("42") == 42
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@pytest.mark.parametrize(("type_hint", "type", "expected"), [
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(int, int, True),
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(int, float, False),
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(list[int], list, True),
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(list[int], tuple, False),
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(Literal[0, 1], Literal, True),
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])
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def test_is_type(type_hint, type, expected):
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assert is_type(type_hint, type) == expected
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@pytest.mark.parametrize(("type_hints", "type", "expected"), [
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({float, int}, int, True),
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({int, tuple[int]}, int, True),
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({int, tuple[int]}, float, False),
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({str, Literal["x", "y"]}, Literal, True),
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])
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def test_contains_type(type_hints, type, expected):
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assert contains_type(type_hints, type) == expected
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@pytest.mark.parametrize(("type_hints", "type", "expected"), [
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({int, float}, int, int),
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({int, float}, str, None),
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({str, Literal["x", "y"]}, Literal, Literal["x", "y"]),
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])
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def test_get_type(type_hints, type, expected):
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assert get_type(type_hints, type) == expected
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@pytest.mark.parametrize(("type_hints", "expected"), [
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({Literal[1, 2]}, {
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"type": int,
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"choices": [1, 2]
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}),
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({Literal[1, "a"]}, Exception),
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])
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def test_literal_to_kwargs(type_hints, expected):
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context = nullcontext()
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if expected is Exception:
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context = pytest.raises(expected)
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with context:
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assert literal_to_kwargs(type_hints) == expected
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@config
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@dataclass
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class NestedConfig:
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field: int = 1
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"""field"""
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@config
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@dataclass
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class FromCliConfig1:
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field: int = 1
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"""field"""
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@classmethod
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def from_cli(cls, cli_value: str):
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inst = cls(**json.loads(cli_value))
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inst.field += 1
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return inst
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@config
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@dataclass
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class FromCliConfig2:
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field: int = 1
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"""field"""
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@classmethod
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def from_cli(cls, cli_value: str):
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inst = cls(**json.loads(cli_value))
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inst.field += 2
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return inst
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@config
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@dataclass
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class DummyConfig:
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regular_bool: bool = True
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"""Regular bool with default True"""
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optional_bool: Optional[bool] = None
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"""Optional bool with default None"""
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optional_literal: Optional[Literal["x", "y"]] = None
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"""Optional literal with default None"""
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tuple_n: tuple[int, ...] = field(default_factory=lambda: (1, 2, 3))
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"""Tuple with variable length"""
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tuple_2: tuple[int, int] = field(default_factory=lambda: (1, 2))
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"""Tuple with fixed length"""
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list_n: list[int] = field(default_factory=lambda: [1, 2, 3])
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"""List with variable length"""
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list_literal: list[Literal[1, 2]] = field(default_factory=list)
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"""List with literal choices"""
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literal_literal: Literal[Literal[1], Literal[2]] = 1
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"""Literal of literals with default 1"""
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json_tip: dict = field(default_factory=dict)
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"""Dict which will be JSON in CLI"""
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nested_config: NestedConfig = field(default_factory=NestedConfig)
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"""Nested config"""
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from_cli_config1: FromCliConfig1 = field(default_factory=FromCliConfig1)
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"""Config with from_cli method"""
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from_cli_config2: FromCliConfig2 = field(default_factory=FromCliConfig2)
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"""Different config with from_cli method"""
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@pytest.mark.parametrize(("type_hint", "expected"), [
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(int, False),
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(DummyConfig, True),
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])
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def test_is_not_builtin(type_hint, expected):
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assert is_not_builtin(type_hint) == expected
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def test_get_kwargs():
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kwargs = get_kwargs(DummyConfig)
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print(kwargs)
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# bools should not have their type set
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assert kwargs["regular_bool"].get("type") is None
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assert kwargs["optional_bool"].get("type") is None
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# optional literals should have None as a choice
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assert kwargs["optional_literal"]["choices"] == ["x", "y", "None"]
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# tuples should have the correct nargs
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assert kwargs["tuple_n"]["nargs"] == "+"
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assert kwargs["tuple_2"]["nargs"] == 2
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# lists should work
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assert kwargs["list_n"]["type"] is int
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assert kwargs["list_n"]["nargs"] == "+"
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# lists with literals should have the correct choices
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assert kwargs["list_literal"]["type"] is int
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assert kwargs["list_literal"]["nargs"] == "+"
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assert kwargs["list_literal"]["choices"] == [1, 2]
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# literals of literals should have merged choices
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assert kwargs["literal_literal"]["choices"] == [1, 2]
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# dict should have json tip in help
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json_tip = "Should either be a valid JSON string or JSON keys"
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assert json_tip in kwargs["json_tip"]["help"]
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# nested config should should construct the nested config
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assert kwargs["nested_config"]["type"]('{"field": 2}') == NestedConfig(2)
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# from_cli configs should be constructed with the correct method
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assert kwargs["from_cli_config1"]["type"]('{"field": 2}').field == 3
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assert kwargs["from_cli_config2"]["type"]('{"field": 2}').field == 4
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@pytest.mark.parametrize(("arg", "expected"), [
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(None, dict()),
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("image=16", {
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"image": 16
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}),
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("image=16,video=2", {
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"image": 16,
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"video": 2
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}),
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("Image=16, Video=2", {
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"image": 16,
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"video": 2
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}),
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])
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def test_limit_mm_per_prompt_parser(arg, expected):
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"""This functionality is deprecated and will be removed in the future.
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This argument should be passed as JSON string instead.
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TODO: Remove with nullable_kvs."""
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parser = EngineArgs.add_cli_args(FlexibleArgumentParser())
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if arg is None:
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args = parser.parse_args([])
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else:
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args = parser.parse_args(["--limit-mm-per-prompt", arg])
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assert args.limit_mm_per_prompt == expected
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def test_compilation_config():
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parser = EngineArgs.add_cli_args(FlexibleArgumentParser())
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# default value
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args = parser.parse_args([])
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assert args.compilation_config == CompilationConfig()
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# set to O3
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args = parser.parse_args(["-O3"])
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assert args.compilation_config.level == 3
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# set to O 3 (space)
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args = parser.parse_args(["-O", "3"])
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assert args.compilation_config.level == 3
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# set to O 3 (equals)
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args = parser.parse_args(["-O=3"])
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assert args.compilation_config.level == 3
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# set to string form of a dict
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args = parser.parse_args([
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"--compilation-config",
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'{"level": 3, "cudagraph_capture_sizes": [1, 2, 4, 8]}',
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])
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assert (args.compilation_config.level == 3 and
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args.compilation_config.cudagraph_capture_sizes == [1, 2, 4, 8])
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# set to string form of a dict
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args = parser.parse_args([
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"--compilation-config="
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'{"level": 3, "cudagraph_capture_sizes": [1, 2, 4, 8]}',
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])
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assert (args.compilation_config.level == 3 and
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args.compilation_config.cudagraph_capture_sizes == [1, 2, 4, 8])
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def test_prefix_cache_default():
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parser = EngineArgs.add_cli_args(FlexibleArgumentParser())
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args = parser.parse_args([])
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engine_args = EngineArgs.from_cli_args(args=args)
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assert (not engine_args.enable_prefix_caching
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), "prefix caching defaults to off."
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# with flag to turn it on.
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args = parser.parse_args(["--enable-prefix-caching"])
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engine_args = EngineArgs.from_cli_args(args=args)
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assert engine_args.enable_prefix_caching
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# with disable flag to turn it off.
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args = parser.parse_args(["--no-enable-prefix-caching"])
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engine_args = EngineArgs.from_cli_args(args=args)
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assert not engine_args.enable_prefix_caching
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@pytest.mark.parametrize(
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("arg"),
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[
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"image", # Missing =
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"image=4,image=5", # Conflicting values
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"image=video=4" # Too many = in tokenized arg
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])
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def test_bad_nullable_kvs(arg):
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with pytest.raises(ArgumentTypeError):
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nullable_kvs(arg)
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# yapf: disable
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@pytest.mark.parametrize(("arg", "expected", "option"), [
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(None, None, "mm-processor-kwargs"),
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("{}", {}, "mm-processor-kwargs"),
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(
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'{"num_crops": 4}',
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{
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"num_crops": 4
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},
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"mm-processor-kwargs"
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),
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(
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'{"foo": {"bar": "baz"}}',
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{
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"foo":
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{
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"bar": "baz"
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}
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},
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"mm-processor-kwargs"
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),
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(
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'{"cast_logits_dtype":"bfloat16","sequence_parallel_norm":true,"sequence_parallel_norm_threshold":2048}',
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{
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"cast_logits_dtype": "bfloat16",
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"sequence_parallel_norm": True,
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"sequence_parallel_norm_threshold": 2048,
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},
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"override-neuron-config"
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),
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])
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# yapf: enable
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def test_composite_arg_parser(arg, expected, option):
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parser = EngineArgs.add_cli_args(FlexibleArgumentParser())
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if arg is None:
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args = parser.parse_args([])
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else:
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args = parser.parse_args([f"--{option}", arg])
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assert getattr(args, option.replace("-", "_")) == expected
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def test_human_readable_model_len():
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# `exit_on_error` disabled to test invalid values below
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parser = EngineArgs.add_cli_args(
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FlexibleArgumentParser(exit_on_error=False))
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args = parser.parse_args([])
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assert args.max_model_len is None
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args = parser.parse_args(["--max-model-len", "1024"])
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assert args.max_model_len == 1024
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# Lower
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args = parser.parse_args(["--max-model-len", "1m"])
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assert args.max_model_len == 1_000_000
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args = parser.parse_args(["--max-model-len", "10k"])
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assert args.max_model_len == 10_000
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# Capital
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args = parser.parse_args(["--max-model-len", "3K"])
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assert args.max_model_len == 1024 * 3
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args = parser.parse_args(["--max-model-len", "10M"])
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assert args.max_model_len == 2**20 * 10
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# Decimal values
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args = parser.parse_args(["--max-model-len", "10.2k"])
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assert args.max_model_len == 10200
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# ..truncated to the nearest int
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args = parser.parse_args(["--max-model-len", "10.212345k"])
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assert args.max_model_len == 10212
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# Invalid (do not allow decimals with binary multipliers)
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for invalid in ["1a", "pwd", "10.24", "1.23M"]:
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with pytest.raises(ArgumentError):
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args = parser.parse_args(["--max-model-len", invalid])
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