52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
|
#
|
||
|
|
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
|
||
|
|
# This file is a part of the vllm-ascend project.
|
||
|
|
#
|
||
|
|
#
|
||
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
|
# you may not use this file except in compliance with the License.
|
||
|
|
# You may obtain a copy of the License at
|
||
|
|
#
|
||
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
||
|
|
#
|
||
|
|
# Unless required by applicable law or agreed to in writing, software
|
||
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
|
# See the License for the specific language governing permissions and
|
||
|
|
# limitations under the License.
|
||
|
|
#
|
||
|
|
|
||
|
|
from torch import fx as fx
|
||
|
|
from vllm.compilation.inductor_pass import get_pass_context
|
||
|
|
from vllm.compilation.vllm_inductor_pass import VllmInductorPass
|
||
|
|
from vllm.config import VllmConfig
|
||
|
|
|
||
|
|
|
||
|
|
class NpuGraphEXPassManager:
|
||
|
|
"""
|
||
|
|
A pass manager for npu_graph ex fusion passes.
|
||
|
|
It handles the configuration and execution of passes.
|
||
|
|
The counterpart in vllm is PostGradPassManager. Since torch_npu
|
||
|
|
does not support triton for now, we define our own pass manager.
|
||
|
|
"""
|
||
|
|
|
||
|
|
def __init__(self):
|
||
|
|
self.passes: list[VllmInductorPass] = []
|
||
|
|
|
||
|
|
def __call__(self, graph: fx.Graph) -> fx.Graph:
|
||
|
|
compile_range = get_pass_context().compile_range
|
||
|
|
|
||
|
|
for pass_ in self.passes:
|
||
|
|
if pass_.is_applicable_for_range(compile_range):
|
||
|
|
pass_(graph)
|
||
|
|
graph.recompiler()
|
||
|
|
return graph
|
||
|
|
|
||
|
|
def add(self, pass_: VllmInductorPass):
|
||
|
|
assert isinstance(pass_, VllmInductorPass)
|
||
|
|
self.passes.append(pass_)
|
||
|
|
|
||
|
|
def configure(self, config: VllmConfig):
|
||
|
|
# By default, we enable the graph fusion and quantization fusion pass.
|
||
|
|
self.ascend_compilation_config: dict = config.additional_config.get("ascend_compilation_config", {})
|