[Bugfix] Detect the CUDA toolkit the way FlashInfer does in has_flashinfer() (#58360)

Signed-off-by: Bowen Wang <bowen@inferact.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Bowen Wang
2026-09-29 04:14:49 +00:00
committed by GitHub
co-authored by Claude Opus 5.5
parent 13c8589b86
commit 1fde8ff7da
2 changed files with 86 additions and 6 deletions
+60
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@@ -0,0 +1,60 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import importlib.util
from collections.abc import Iterator
from pathlib import Path
import pytest
import vllm.utils.flashinfer as fi
def _make_exe(path: Path) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.touch(mode=0o755)
@pytest.fixture
def default_cuda_home(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> Path:
"""Hide any real toolkit, keep ninja on PATH, redirect /usr/local/cuda."""
for var in ("CUDA_HOME", "CUDA_PATH", "FLASHINFER_NVCC"):
monkeypatch.delenv(var, raising=False)
_make_exe(tmp_path / "venv" / "bin" / "ninja")
monkeypatch.setenv("PATH", str(tmp_path / "venv" / "bin"))
home = tmp_path / "usr_local_cuda"
monkeypatch.setattr(fi, "_DEFAULT_CUDA_HOME", str(home))
return home
@pytest.fixture(autouse=True)
def flashinfer_without_cubin(monkeypatch: pytest.MonkeyPatch) -> Iterator[None]:
"""Pretend flashinfer-python is installed without flashinfer-cubin."""
real_find_spec = importlib.util.find_spec
monkeypatch.setattr(
importlib.util,
"find_spec",
lambda name, *args: (
object() if name == "flashinfer" else real_find_spec(name, *args)
),
)
monkeypatch.setattr(fi, "has_flashinfer_cubin", lambda: False)
fi.has_flashinfer.cache_clear()
yield
fi.has_flashinfer.cache_clear()
def test_has_flashinfer_finds_toolkit_off_path(default_cuda_home: Path):
"""Bare-metal installs keep nvcc in /usr/local/cuda, off PATH, which is
where FlashInfer's JIT finds it."""
_make_exe(default_cuda_home / "bin" / "nvcc")
assert fi.has_flashinfer()
def test_has_flashinfer_requires_ninja(
default_cuda_home: Path, monkeypatch: pytest.MonkeyPatch, tmp_path: Path
):
"""FlashInfer runs `ninja` from PATH, which lacks the venv's bin directory
when vLLM is launched without activating the venv."""
_make_exe(tmp_path / "cuda" / "bin" / "nvcc")
monkeypatch.setenv("PATH", str(tmp_path / "cuda" / "bin"))
assert not fi.has_flashinfer()
+26 -6
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@@ -79,6 +79,23 @@ FLASHINFER_CUBINS_REPOSITORY = os.environ.get(
"https://edge.urm.nvidia.com/artifactory/sw-kernelinferencelibrary-public-generic-local/", # noqa: E501
)
_DEFAULT_CUDA_HOME = "/usr/local/cuda"
def _flashinfer_nvcc_path() -> str | None:
"""Return the nvcc FlashInfer's JIT would run, or None if it is missing.
Mirrors ``flashinfer.jit.cpp_ext.get_cuda_path()`` without importing
FlashInfer, whose import initializes CUDA.
"""
cuda_home = os.environ.get("CUDA_HOME") or os.environ.get("CUDA_PATH")
if not cuda_home:
nvcc = shutil.which("nvcc")
cuda_home = (
os.path.dirname(os.path.dirname(nvcc)) if nvcc else _DEFAULT_CUDA_HOME
)
return shutil.which(os.path.join(cuda_home, "bin", "nvcc"))
@functools.cache
def has_flashinfer_cubin() -> bool:
@@ -99,12 +116,15 @@ def has_flashinfer() -> bool:
if importlib.util.find_spec("flashinfer") is None:
logger.debug_once("FlashInfer unavailable since package was not found")
return False
# When not using flashinfer cubin,
# Also check if nvcc is available since it's required to JIT compile flashinfer
if not has_flashinfer_cubin() and shutil.which("nvcc") is None:
logger.debug_once(
"FlashInfer unavailable since nvcc was not found "
"and not using pre-downloaded cubins"
# FlashInfer's JIT runs nvcc and `ninja` (from PATH).
if not has_flashinfer_cubin() and (
_flashinfer_nvcc_path() is None or shutil.which("ninja") is None
):
logger.warning_once(
"FlashInfer kernels are disabled: flashinfer-cubin is not installed "
"and nvcc (CUDA_HOME, CUDA_PATH, PATH or /usr/local/cuda) or ninja "
"(PATH) is missing. Set CUDA_HOME to a CUDA toolkit and put ninja on "
"PATH, or run `flashinfer download-kernels`."
)
return False
return True