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[LLM] First commit the llm deployment code
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"""
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# Copyright (c) 2025 PaddlePaddle Authors. 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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"""
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"""
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attention backend selecter
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"""
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from fastdeploy.model_executor.layers.attention.base_attention_backend import AttentionBackend
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from fastdeploy.platforms import current_platform
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from fastdeploy.utils import resolve_obj_from_strname
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from functools import cache
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from fastdeploy.platforms import _Backend
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def backend_name_to_enum(backend_name: str):
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"""backend_name_to_enum """
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assert backend_name is not None
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return _Backend.__members__.get(backend_name)
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@cache
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def _get_attn_backend(
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selected_backend
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):
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"""_get_attn_backend """
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if isinstance(selected_backend, str):
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selected_backend = backend_name_to_enum(selected_backend)
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attention_cls = current_platform.get_attention_backend_cls(
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selected_backend)
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if not attention_cls:
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raise ValueError(
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f"Invalid attention backend for {current_platform.device_name}")
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return resolve_obj_from_strname(attention_cls)
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def get_attention_backend(
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selected_backend
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):
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"""Selects which attention backend ."""
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return _get_attn_backend(
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selected_backend
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)
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