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vLLM/vllm/utils/flashinfer.py
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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""Compatibility wrapper for FlashInfer API changes.
Users of vLLM should always import **only** these wrappers.
"""
from __future__ import annotations
import contextlib
import functools
import importlib
import importlib.util
from typing import Any, Callable, NoReturn
from vllm.logger import init_logger
logger = init_logger(__name__)
@functools.cache
def has_flashinfer() -> bool:
"""Return ``True`` if FlashInfer is available."""
# Use find_spec to check if the module exists without importing it
# This avoids potential CUDA initialization side effects
return importlib.util.find_spec("flashinfer") is not None
def _missing(*_: Any, **__: Any) -> NoReturn:
"""Placeholder for unavailable FlashInfer backend."""
raise RuntimeError(
"FlashInfer backend is not available. Please install the package "
"to enable FlashInfer kernels: "
"https://github.com/flashinfer-ai/flashinfer")
def _get_submodule(module_name: str) -> Any | None:
"""Safely import a submodule and return it, or None if not available."""
try:
return importlib.import_module(module_name)
except (ImportError, ModuleNotFoundError):
return None
# General lazy import wrapper
def _lazy_import_wrapper(module_name: str,
attr_name: str,
fallback_fn: Callable[..., Any] = _missing):
"""Create a lazy import wrapper for a specific function."""
@functools.cache
def _get_impl():
if not has_flashinfer():
return None
mod = _get_submodule(module_name)
return getattr(mod, attr_name, None) if mod else None
def wrapper(*args, **kwargs):
impl = _get_impl()
if impl is None:
return fallback_fn(*args, **kwargs)
return impl(*args, **kwargs)
return wrapper
# Create lazy wrappers for each function
flashinfer_trtllm_fp8_block_scale_moe = _lazy_import_wrapper(
"flashinfer.fused_moe", "trtllm_fp8_block_scale_moe")
flashinfer_cutlass_fused_moe = _lazy_import_wrapper("flashinfer.fused_moe",
"cutlass_fused_moe")
fp4_quantize = _lazy_import_wrapper("flashinfer", "fp4_quantize")
nvfp4_block_scale_interleave = _lazy_import_wrapper(
"flashinfer", "nvfp4_block_scale_interleave")
# Special case for autotune since it returns a context manager
autotune = _lazy_import_wrapper(
"flashinfer.autotuner",
"autotune",
fallback_fn=lambda *args, **kwargs: contextlib.nullcontext())
@functools.cache
def has_flashinfer_moe() -> bool:
"""Return ``True`` if FlashInfer MoE module is available."""
return has_flashinfer() and importlib.util.find_spec(
"flashinfer.fused_moe") is not None
@functools.cache
def has_flashinfer_cutlass_fused_moe() -> bool:
"""Return ``True`` if FlashInfer CUTLASS fused MoE is available."""
if not has_flashinfer_moe():
return False
# Check if all required functions are available
required_functions = [
("flashinfer.fused_moe", "cutlass_fused_moe"),
("flashinfer", "fp4_quantize"),
("flashinfer", "nvfp4_block_scale_interleave"),
]
for module_name, attr_name in required_functions:
mod = _get_submodule(module_name)
if not mod or not hasattr(mod, attr_name):
return False
return True
__all__ = [
"has_flashinfer",
"flashinfer_trtllm_fp8_block_scale_moe",
"flashinfer_cutlass_fused_moe",
"fp4_quantize",
"nvfp4_block_scale_interleave",
"autotune",
"has_flashinfer_moe",
"has_flashinfer_cutlass_fused_moe",
]