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45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This file is a part of the vllm-ascend project.
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#
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# Todo: Once https://github.com/vllm-project/vllm/issues/22246 is merged in vllm. Remove this adaptor.
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from abc import abstractmethod
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from typing import Any
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class EplbAdaptor():
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def __init__(self, **args):
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pass
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@abstractmethod
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def get_rank_expert_workload(self):
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raise NotImplementedError
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@abstractmethod
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def get_init_expert_map(self, num_moe_layers: Any) -> Any:
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raise NotImplementedError
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@abstractmethod
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def do_update_expert_map(self, layer_id: Any,
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updated_expert_map: Any) -> Any:
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raise NotImplementedError
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@abstractmethod
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def do_update_expert_weight(self, layer_id: Any,
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local_expert_to_replace: Any,
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buffer_tensor_id: Any) -> Any:
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raise NotImplementedError
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