mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 00:33:03 +08:00
118 lines
3.1 KiB
Python
118 lines
3.1 KiB
Python
"""
|
|
# Copyright (c) 2025 PaddlePaddle Authors. 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.
|
|
|
|
# Adapt from
|
|
# https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/layers/attention/base_attn_backend.py
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
from abc import ABC, abstractmethod
|
|
|
|
import paddle
|
|
|
|
from fastdeploy.worker.model_runner import ForwardMeta
|
|
|
|
|
|
class AttentionBackend(ABC):
|
|
"""The base class of attention backends"""
|
|
|
|
@abstractmethod
|
|
def init_attention_metadata(self, forward_meta: ForwardMeta):
|
|
"""Initialize the forward metadata."""
|
|
raise NotImplementedError()
|
|
|
|
def forward(
|
|
self,
|
|
q: paddle.Tensor,
|
|
k: paddle.Tensor,
|
|
v: paddle.Tensor,
|
|
qkv: paddle.Tensor,
|
|
layer: paddle.nn.Layer,
|
|
forward_meta: ForwardMeta,
|
|
):
|
|
"""
|
|
Run a forward.
|
|
args:
|
|
q: The query tensor.
|
|
k: The key tensor.
|
|
v: The value tensor.
|
|
layer: The layer that will be used for the forward.
|
|
forward_meta: The forward metadata.
|
|
"""
|
|
if forward_meta.forward_mode.is_mixed():
|
|
return self.forward_mixed(
|
|
q,
|
|
k,
|
|
v,
|
|
qkv,
|
|
layer,
|
|
forward_meta,
|
|
)
|
|
elif forward_meta.forward_mode.is_decode():
|
|
return self.forward_decode(
|
|
q,
|
|
k,
|
|
v,
|
|
qkv,
|
|
layer,
|
|
forward_meta,
|
|
)
|
|
else:
|
|
return self.forward_extend(
|
|
q,
|
|
k,
|
|
v,
|
|
qkv,
|
|
layer,
|
|
forward_meta,
|
|
)
|
|
|
|
def forward_mixed(
|
|
self,
|
|
q: paddle.Tensor,
|
|
k: paddle.Tensor,
|
|
v: paddle.Tensor,
|
|
qkv: paddle.Tensor,
|
|
layer: paddle.nn.Layer,
|
|
forward_meta: ForwardMeta,
|
|
):
|
|
"""Run a forward for mix."""
|
|
raise NotImplementedError()
|
|
|
|
def forward_decode(
|
|
self,
|
|
q: paddle.Tensor,
|
|
k: paddle.Tensor,
|
|
v: paddle.Tensor,
|
|
qkv: paddle.Tensor,
|
|
layer: paddle.nn.Layer,
|
|
forward_meta: ForwardMeta,
|
|
):
|
|
"""Run a forward for decode."""
|
|
raise NotImplementedError()
|
|
|
|
def forward_extend(
|
|
self,
|
|
q: paddle.Tensor,
|
|
k: paddle.Tensor,
|
|
v: paddle.Tensor,
|
|
qkv: paddle.Tensor,
|
|
layer: paddle.nn.Layer,
|
|
forward_meta: ForwardMeta,
|
|
):
|
|
"""Run a forward for extend."""
|
|
raise NotImplementedError()
|