mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-09-27 04:46:16 +08:00
136 lines
4.3 KiB
Python
136 lines
4.3 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.
|
|
"""
|
|
|
|
from typing import Optional
|
|
|
|
import paddle
|
|
|
|
from fastdeploy.platforms import current_platform
|
|
|
|
if current_platform.is_cuda():
|
|
from fastdeploy.model_executor.ops.gpu import (
|
|
append_attention as append_attention_gpu,
|
|
)
|
|
|
|
|
|
def append_attention(
|
|
qkv: paddle.Tensor,
|
|
key_cache: paddle.Tensor,
|
|
value_cache: paddle.Tensor,
|
|
seq_lens_encoder: paddle.Tensor,
|
|
seq_lens_decoder: paddle.Tensor,
|
|
seq_lens_this_time: paddle.Tensor,
|
|
batch_id_per_token: paddle.Tensor,
|
|
cu_seqlens_q: paddle.Tensor,
|
|
block_tables: paddle.Tensor,
|
|
encoder_batch_ids: paddle.Tensor,
|
|
encoder_tile_ids_per_batch: paddle.Tensor,
|
|
encoder_num_blocks: paddle.Tensor,
|
|
kv_batch_ids: paddle.Tensor,
|
|
kv_tile_ids_per_batch: paddle.Tensor,
|
|
kv_num_blocks: paddle.Tensor,
|
|
decoder_batch_ids: paddle.Tensor,
|
|
decoder_tile_ids_per_batch: paddle.Tensor,
|
|
decoder_num_blocks: paddle.Tensor,
|
|
set_max_lengths: paddle.Tensor,
|
|
max_len_kv: paddle.Tensor,
|
|
rotary_embs: Optional[paddle.Tensor] = None,
|
|
attn_mask: Optional[paddle.Tensor] = None,
|
|
qkv_bias: Optional[paddle.Tensor] = None,
|
|
qkv_scale: Optional[paddle.Tensor] = None,
|
|
k_quant_scale: Optional[paddle.Tensor] = None,
|
|
v_quant_scale: Optional[paddle.Tensor] = None,
|
|
k_dequant_scale: Optional[paddle.Tensor] = None,
|
|
v_dequant_scale: Optional[paddle.Tensor] = None,
|
|
cache_k_zp: Optional[paddle.Tensor] = None,
|
|
cache_v_zp: Optional[paddle.Tensor] = None,
|
|
linear_shift: Optional[paddle.Tensor] = None,
|
|
linear_smooth: Optional[paddle.Tensor] = None,
|
|
kv_signal_data: Optional[paddle.Tensor] = None,
|
|
compute_type: str = "bf16",
|
|
cache_quant_type: str = "none",
|
|
use_neox_rotary_style: bool = False,
|
|
rope_3d: bool = False,
|
|
max_input_length: int = 0,
|
|
quant_max_bound: float = 0.0,
|
|
quant_min_bound: float = 0.0,
|
|
out_linear_in_scale: float = -1.0,
|
|
encoder_block_shape_q: int = 64,
|
|
decoder_block_shape_q: int = 16,
|
|
max_partition_size: int = 32768,
|
|
encoder_max_partition_size: int = 32768,
|
|
speculate_max_draft_token_num: int = 1,
|
|
causal: bool = True,
|
|
speculate_decoder: bool = False,
|
|
) -> paddle.Tensor:
|
|
"""
|
|
append_attention
|
|
"""
|
|
if current_platform.is_cuda():
|
|
out = append_attention_gpu(
|
|
qkv,
|
|
key_cache,
|
|
value_cache,
|
|
seq_lens_encoder,
|
|
seq_lens_decoder,
|
|
seq_lens_this_time,
|
|
batch_id_per_token,
|
|
cu_seqlens_q,
|
|
block_tables,
|
|
encoder_batch_ids,
|
|
encoder_tile_ids_per_batch,
|
|
encoder_num_blocks,
|
|
kv_batch_ids,
|
|
kv_tile_ids_per_batch,
|
|
kv_num_blocks,
|
|
decoder_batch_ids,
|
|
decoder_tile_ids_per_batch,
|
|
decoder_num_blocks,
|
|
set_max_lengths,
|
|
max_len_kv,
|
|
rotary_embs,
|
|
attn_mask,
|
|
qkv_bias,
|
|
qkv_scale,
|
|
k_quant_scale,
|
|
v_quant_scale,
|
|
k_dequant_scale,
|
|
v_dequant_scale,
|
|
cache_k_zp,
|
|
cache_v_zp,
|
|
linear_shift,
|
|
linear_smooth,
|
|
kv_signal_data,
|
|
compute_type,
|
|
cache_quant_type,
|
|
use_neox_rotary_style,
|
|
rope_3d,
|
|
max_input_length,
|
|
quant_max_bound,
|
|
quant_min_bound,
|
|
out_linear_in_scale,
|
|
encoder_block_shape_q,
|
|
decoder_block_shape_q,
|
|
max_partition_size,
|
|
encoder_max_partition_size,
|
|
speculate_max_draft_token_num,
|
|
causal,
|
|
speculate_decoder,
|
|
)
|
|
return out
|
|
else:
|
|
raise NotImplementedError
|