test_aot_compile.py 4.78 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project

import tempfile
from contextlib import contextmanager

import pytest
import torch

from vllm.compilation.decorators import support_torch_compile
from vllm.config import (
    CompilationConfig,
13
    CompilationMode,
14
15
16
17
    VllmConfig,
    set_current_vllm_config,
)
from vllm.forward_context import set_forward_context
18
from vllm.utils.torch_utils import is_torch_equal_or_newer
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40


def reference_fn(x: torch.Tensor):
    assert x.shape[0] <= 42
    assert x.shape[0] % 2 == 0
    for _ in range(3000):
        x = x + x.shape[0]
    return x


@support_torch_compile
class CompiledMod(torch.nn.Module):
    def __init__(self, **kwargs):
        super().__init__()

    def forward(self, x: torch.Tensor):
        return reference_fn(x)


def make_vllm_config() -> VllmConfig:
    return VllmConfig(
        compilation_config=CompilationConfig(
41
            mode=CompilationMode.VLLM_COMPILE,
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
        )
    )


@contextmanager
def use_vllm_config(vllm_config: VllmConfig):
    with set_forward_context({}, vllm_config), set_current_vllm_config(vllm_config):
        yield


@pytest.mark.skipif(
    not is_torch_equal_or_newer("2.10.0.dev"), reason="requires torch 2.10"
)
def test_no_dynamo_cache_entry(monkeypatch: pytest.MonkeyPatch):
    with monkeypatch.context() as m:
        vllm_config = make_vllm_config()
        args = (torch.randn(10, 10),)
        expected = reference_fn(*args)
        with use_vllm_config(vllm_config):
            m.setenv("VLLM_USE_AOT_COMPILE", "0")
            with (
                pytest.raises(RuntimeError, match="Detected recompile"),
                torch.compiler.set_stance("fail_on_recompile"),
            ):
                CompiledMod(vllm_config=vllm_config)(*args)

            m.setenv("VLLM_USE_AOT_COMPILE", "1")
            torch._dynamo.reset()
            with torch.compiler.set_stance("fail_on_recompile"):
                actual = CompiledMod(vllm_config=vllm_config)(*args)
            assert torch.allclose(actual, expected)


@pytest.mark.skipif(
    not is_torch_equal_or_newer("2.10.0.dev"), reason="requires torch 2.10"
)
def test_force_aot_load(monkeypatch: pytest.MonkeyPatch):
    with tempfile.TemporaryDirectory() as tmpdirname, monkeypatch.context() as m:
        args = (torch.randn(10, 10),)
        m.setenv("VLLM_USE_AOT_COMPILE", "1")
        m.setenv("VLLM_FORCE_AOT_LOAD", "1")
        m.setenv("VLLM_CACHE_ROOT", tmpdirname)
        vllm_config = make_vllm_config()
        with use_vllm_config(vllm_config), pytest.raises(FileNotFoundError):
            CompiledMod(vllm_config=vllm_config)(*args)


@pytest.mark.skipif(
    not is_torch_equal_or_newer("2.10.0.dev"), reason="requires torch 2.10"
)
def test_save_and_load(monkeypatch: pytest.MonkeyPatch):
    with monkeypatch.context() as m:
        args = (torch.randn(10, 10),)

        with tempfile.TemporaryDirectory() as tmpdirname:
            m.setenv("VLLM_CACHE_ROOT", tmpdirname)
            m.setenv("VLLM_USE_AOT_COMPILE", "1")
            vllm_config = make_vllm_config()
            with use_vllm_config(vllm_config):
                expected = CompiledMod(vllm_config=vllm_config)(*args)

            m.setenv("VLLM_FORCE_AOT_LOAD", "1")
            vllm_config = make_vllm_config()
            with use_vllm_config(vllm_config):
                ret = CompiledMod(vllm_config=vllm_config)(*args)
            assert torch.allclose(ret, expected)


@pytest.mark.skipif(
    not is_torch_equal_or_newer("2.10.0.dev"), reason="requires torch 2.10"
)
def test_shape_env(monkeypatch: pytest.MonkeyPatch):
    """
    Test that the shape environment is correctly serialized and preserved
    when loading from cache.
    """
    with monkeypatch.context() as m:
        args = (torch.randn(10, 10),)

        with tempfile.TemporaryDirectory() as tmpdirname:
            m.setenv("VLLM_CACHE_ROOT", tmpdirname)
            m.setenv("VLLM_USE_AOT_COMPILE", "1")
            vllm_config = make_vllm_config()
            with use_vllm_config(vllm_config):
                compiled_mod = CompiledMod(vllm_config=vllm_config)
                compiled_mod(*args)
                artifacts = compiled_mod.aot_compiled_fn._artifacts
                guards_string = artifacts.compiled_fn.shape_env.format_guards()
                assert guards_string == " - s77 <= 42\n - Eq(Mod(s77, 2), 0)"

            m.setenv("VLLM_FORCE_AOT_LOAD", "1")
            vllm_config = make_vllm_config()
            with use_vllm_config(vllm_config):
                compiled_mod = CompiledMod(vllm_config=vllm_config)
                compiled_mod(*args)
                artifacts = compiled_mod.aot_compiled_fn._artifacts
                guards_string = artifacts.compiled_fn.shape_env.format_guards()
                assert guards_string == " - s77 <= 42\n - Eq(Mod(s77, 2), 0)"