mirror of
https://git.datalinker.icu/vllm-project/vllm.git
synced 2025-12-17 12:26:27 +08:00
f98548b9da
Signed-off-by: Luka Govedič <lgovedic@redhat.com> Co-authored-by: Sage Moore <sage@neuralmagic.com>
85 lines
2.9 KiB
Python
85 lines
2.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
|
|
|
|
import operator
|
|
from collections.abc import Iterable, Iterator
|
|
from typing import Optional
|
|
|
|
from torch import fx
|
|
from torch._higher_order_ops.auto_functionalize import auto_functionalized
|
|
from torch._ops import OpOverload
|
|
|
|
|
|
def is_func(node: fx.Node, target) -> bool:
|
|
return node.op == "call_function" and node.target == target
|
|
|
|
|
|
def is_auto_func(node: fx.Node, op: OpOverload) -> bool:
|
|
return is_func(node, auto_functionalized) and node.args[0] == op
|
|
|
|
|
|
# Returns the first specified node with the given op (if it exists)
|
|
def find_specified_fn_maybe(nodes: Iterable[fx.Node],
|
|
op: OpOverload) -> Optional[fx.Node]:
|
|
for node in nodes:
|
|
if node.target == op:
|
|
return node
|
|
return None
|
|
|
|
|
|
# Returns the first specified node with the given op
|
|
def find_specified_fn(nodes: Iterable[fx.Node], op: OpOverload) -> fx.Node:
|
|
node = find_specified_fn_maybe(nodes, op)
|
|
assert node is not None, f"Could not find {op} in nodes {nodes}"
|
|
return node
|
|
|
|
|
|
# Returns the first auto_functionalized node with the given op (if it exists)
|
|
def find_auto_fn_maybe(nodes: Iterable[fx.Node],
|
|
op: OpOverload) -> Optional[fx.Node]:
|
|
for node in nodes:
|
|
if is_func(node, auto_functionalized) and node.args[0] == op: # noqa
|
|
return node
|
|
return None
|
|
|
|
|
|
# Returns the first auto_functionalized node with the given op
|
|
def find_auto_fn(nodes: Iterable[fx.Node], op: OpOverload) -> fx.Node:
|
|
node = find_auto_fn_maybe(nodes, op)
|
|
assert node is not None, f"Could not find {op} in nodes {nodes}"
|
|
return node
|
|
|
|
|
|
# Returns the getitem node that extracts the idx-th element from node
|
|
# (if it exists)
|
|
def find_getitem_maybe(node: fx.Node, idx: int) -> Optional[fx.Node]:
|
|
for user in node.users:
|
|
if is_func(user, operator.getitem) and user.args[1] == idx:
|
|
return user
|
|
return None
|
|
|
|
|
|
# Returns the getitem node that extracts the idx-th element from node
|
|
def find_getitem(node: fx.Node, idx: int) -> fx.Node:
|
|
ret = find_getitem_maybe(node, idx)
|
|
assert ret is not None, f"Could not find getitem {idx} in node {node}"
|
|
return ret
|
|
|
|
|
|
# An auto-functionalization-aware utility for finding nodes with a specific op
|
|
def find_op_nodes(op: OpOverload, graph: fx.Graph) -> Iterator[fx.Node]:
|
|
if not op._schema.is_mutable:
|
|
yield from graph.find_nodes(op="call_function", target=op)
|
|
|
|
for n in graph.find_nodes(op="call_function", target=auto_functionalized):
|
|
if n.args[0] == op:
|
|
yield n
|
|
|
|
|
|
# Asserts that the node only has one user and returns it
|
|
# Even if a node has only 1 user, it might share storage with another node,
|
|
# which might need to be taken into account.
|
|
def get_only_user(node: fx.Node) -> fx.Node:
|
|
assert len(node.users) == 1
|
|
return next(iter(node.users))
|