# SPDX-License-Identifier: Apache-2.0 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project """Fuser detection for the Transformers modeling backend.""" from collections import UserDict from typing import TYPE_CHECKING, TypeVar from cachetools import cached from torch import nn from vllm.logger import init_logger from vllm.model_executor.models.transformers.fusers import ( AttentionFuser, BaseFuser, GLUFuser, MergedColumnParallelFuser, MLAFuser, PackedQKVFuser, QKVFuser, RewriteFuser, RMSNormFuser, ) from vllm.model_executor.models.transformers.fx_utils import trace if TYPE_CHECKING: from vllm.config import VllmConfig logger = init_logger(__name__) F = TypeVar("F", bound=BaseFuser) def key(module: nn.Module) -> tuple: """Cache key for `get_fusers`. Considers module type and its immediate children.""" return (type(module), tuple(name for name, _ in module.named_children())) FUSERS: tuple[type[BaseFuser], ...] = ( # Order these by priority, e.g. QKV would be preferred over MergedColumnParallel MLAFuser, GLUFuser, QKVFuser, PackedQKVFuser, MergedColumnParallelFuser, RMSNormFuser, # Put fusers that don't redefine forward after this comment AttentionFuser, ) """Every fuser, in priority order: those that redefine the forward first, then those that leave it alone. A new fuser is added here.""" @cached(cache={}, key=key) def get_fusers(module: nn.Module) -> list[BaseFuser]: """Every fuser that could apply to `module`'s class (cached), in `FUSERS` order.""" # Projection fusions need >=2 sibling linears; the RMSNorm fusion needs a # leaf module (raw tensor math, no submodules). Nothing else can match, and # tracing is skipped for it. n_linear = sum(isinstance(c, nn.Linear) for c in module.children()) is_leaf = next(module.children(), None) is None graph = trace(module) if n_linear >= 2 or is_leaf else None # Every redefining candidate that matches is cached, not just the first: # instances of this class can be shaped heterogeneously, so which one is # usable is decided per instance in Fusers.__getitem__, not here. A forward # can only be rewritten from a trace of it, so each starts fresh regardless. fusers: list[BaseFuser] = [] for fuser_cls in FUSERS: if fuser_cls.redefines_forward and graph is None: continue if (fuser := fuser_cls.match(graph, module)) is None: continue if isinstance(fuser, RewriteFuser): try: fuser.update_forward(module) except Exception as exc: logger.debug( "Attempted to fuse %s using %s but failed " "to update its forward method: %s", type(module), fuser_cls.__name__, exc, ) continue fusers.append(fuser) # A norm we could not match structurally is left unfused; flag likely misses. if ( module.__class__.__name__.endswith("RMSNorm") and graph is not None and not any(isinstance(fuser, RMSNormFuser) for fuser in fusers) ): logger.warning_once( "%s looks like an RMSNorm but its computation did not match the " "expected pattern, so it was left unfused.", module.__class__.__name__, ) return fusers def get_fuser(module: nn.Module, fuser_cls: type[F]) -> "F | None": """The first `fuser_cls` that applies to `module`, if one does.""" return next((f for f in get_fusers(module) if isinstance(f, fuser_cls)), None) class Fusers(UserDict): """Mapping from module class and shape to fusers, for all fusable modules.""" def __init__(self, model: nn.Module, vllm_config: "VllmConfig"): self.vllm_config = vllm_config super().__init__({key(m): get_fusers(m) for m in model.modules()}) def __getitem__(self, m: nn.Module) -> list[BaseFuser]: """The fusers this instance can take, in the order to apply them.""" chosen: list[BaseFuser] = [] redefined = False for fuser in self.data.get(key(m), ()): # Only one candidate may rewrite m's forward; take the first # (highest-priority) one that validates for this instance. if fuser.redefines_forward and redefined: continue if not fuser.validate(m, self.vllm_config): continue redefined = redefined or fuser.redefines_forward chosen.append(fuser) return chosen