45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
|
#
|
||
|
|
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
|
||
|
|
#
|
||
|
|
# 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.
|
||
|
|
# This file is a part of the vllm-ascend project.
|
||
|
|
#
|
||
|
|
# Todo: Once https://github.com/vllm-project/vllm/issues/22246 is merged in vllm. Remove this adaptor.
|
||
|
|
from abc import abstractmethod
|
||
|
|
from typing import Any
|
||
|
|
|
||
|
|
|
||
|
|
class EplbAdaptor():
|
||
|
|
|
||
|
|
def __init__(self, **args):
|
||
|
|
pass
|
||
|
|
|
||
|
|
@abstractmethod
|
||
|
|
def get_rank_expert_workload(self):
|
||
|
|
raise NotImplementedError
|
||
|
|
|
||
|
|
@abstractmethod
|
||
|
|
def get_init_expert_map(self, num_moe_layers: Any) -> Any:
|
||
|
|
raise NotImplementedError
|
||
|
|
|
||
|
|
@abstractmethod
|
||
|
|
def do_update_expert_map(self, layer_id: Any,
|
||
|
|
updated_expert_map: Any) -> Any:
|
||
|
|
raise NotImplementedError
|
||
|
|
|
||
|
|
@abstractmethod
|
||
|
|
def do_update_expert_weight(self, layer_id: Any,
|
||
|
|
local_expert_to_replace: Any,
|
||
|
|
buffer_tensor_id: Any) -> Any:
|
||
|
|
raise NotImplementedError
|