mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 00:57:33 +08:00
66 lines
1.7 KiB
Python
66 lines
1.7 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.
|
|
"""
|
|
|
|
import paddle
|
|
|
|
try:
|
|
from fastdeploy.model_executor.ops.iluvatar import paged_attn
|
|
except ImportError:
|
|
paged_attn = None
|
|
|
|
|
|
def paged_attention(
|
|
q: paddle.Tensor,
|
|
k_cache: paddle.Tensor,
|
|
v_cache: paddle.Tensor,
|
|
block_tables: paddle.Tensor,
|
|
seq_lens: paddle.Tensor,
|
|
num_kv_heads: int,
|
|
scale: float,
|
|
block_size: int,
|
|
max_context_len: int,
|
|
alibi_slopes: paddle.Tensor = None,
|
|
causal: bool = True,
|
|
window_left: int = -1,
|
|
window_right: int = -1,
|
|
softcap: float = 0.0,
|
|
use_cuda_graph: bool = False,
|
|
use_sqrt_alibi: bool = False,
|
|
k: paddle.Tensor = None,
|
|
v: paddle.Tensor = None,
|
|
):
|
|
output = paged_attn(
|
|
q,
|
|
k_cache,
|
|
v_cache,
|
|
block_tables,
|
|
seq_lens,
|
|
alibi_slopes,
|
|
k,
|
|
v,
|
|
num_kv_heads,
|
|
scale,
|
|
block_size,
|
|
max_context_len,
|
|
causal,
|
|
window_left,
|
|
window_right,
|
|
softcap,
|
|
use_cuda_graph,
|
|
use_sqrt_alibi,
|
|
)
|
|
return output[0] if isinstance(output, list) else output
|