mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-31 11:56:44 +08:00
646a0c2fd8
Some checks failed
CE Compile Job / ce_job_pre_check (push) Has been cancelled
CE Compile Job / print_ce_job_pre_check_outputs (push) Has been cancelled
CE Compile Job / FD-Clone-Linux (push) Has been cancelled
CE Compile Job / Show Code Archive Output (push) Has been cancelled
CE Compile Job / BUILD_SM8090 (push) Has been cancelled
CE Compile Job / BUILD_SM8689 (push) Has been cancelled
CE Compile Job / CE_UPLOAD (push) Has been cancelled
Deploy GitHub Pages / deploy (push) Has been cancelled
* 支持稀疏attn * fix bug * code style * fix moba attn get kv shape * 修复a100编译 * codestyle * code style * code style * code style * fix conflict * 增加单侧 * code style * 增加eblite 加载时间 * fix bug * for ci * for ci * for ci * for ci * 支持mlp block size 128 * 增加小算子单测 * fix 单测 mlp * 将环境变量加入到config里面 * fix rollout config
205 lines
7.2 KiB
C++
205 lines
7.2 KiB
C++
// Copyright (c) 2024 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.
|
|
|
|
#pragma once
|
|
|
|
#include "paddle/extension.h"
|
|
|
|
void MobaDecoderAttnWriteCacheKv(
|
|
const paddle::Tensor& qkv_out,
|
|
const paddle::Tensor& q_input,
|
|
const paddle::Tensor& cu_seq_q,
|
|
const paddle::Tensor& cu_seq_k,
|
|
const paddle::Tensor& seq_len_encoder,
|
|
const paddle::Tensor& seq_len_decoder,
|
|
const paddle::Tensor& cache_k,
|
|
const paddle::Tensor& cache_v,
|
|
const paddle::Tensor& block_tables,
|
|
const paddle::Tensor& rope_sin_cos,
|
|
const paddle::Tensor& k_block_means,
|
|
const paddle::optional<paddle::Tensor>& qkv_bias,
|
|
const paddle::optional<paddle::Tensor>& cache_k_quant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_v_quant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_k_dequant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_v_dequant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_k_zero_points,
|
|
const paddle::optional<paddle::Tensor>& cache_v_zero_points,
|
|
const int head_num,
|
|
const int kv_head_num,
|
|
const int head_dim,
|
|
const int max_input_length,
|
|
const std::string &cache_quant_type_str);
|
|
|
|
void MobaEncoderAttnWriteCacheKv(
|
|
const paddle::Tensor& k_input,
|
|
const paddle::Tensor& v_input,
|
|
const paddle::Tensor& cu_seq_k,
|
|
const paddle::Tensor& seq_len_encoder,
|
|
const paddle::Tensor& seq_len_decoder,
|
|
const paddle::Tensor& cache_k,
|
|
const paddle::Tensor& cache_v,
|
|
const paddle::Tensor& block_tables,
|
|
const paddle::optional<paddle::Tensor>& cache_k_quant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_v_quant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_k_dequant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_v_dequant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_k_zero_points,
|
|
const paddle::optional<paddle::Tensor>& cache_v_zero_points,
|
|
const int head_num,
|
|
const int kv_head_num,
|
|
const int head_dim,
|
|
const int max_seq_q,
|
|
const std::string &cache_quant_type_str);
|
|
|
|
void MobaDecoderAttn(
|
|
const paddle::Tensor& q_input,
|
|
const paddle::Tensor& seq_len_encoder,
|
|
const paddle::Tensor& seq_len_decoder,
|
|
const paddle::Tensor& cu_seq_q,
|
|
const paddle::Tensor& cache_k,
|
|
const paddle::Tensor& cache_v,
|
|
const paddle::Tensor& block_tables,
|
|
const paddle::Tensor& k_block_means,
|
|
const paddle::Tensor& out,
|
|
const paddle::Tensor& qk_gate_topk_idx,
|
|
const paddle::optional<paddle::Tensor>& cache_k_quant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_v_quant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_k_dequant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_v_dequant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_k_zero_points,
|
|
const paddle::optional<paddle::Tensor>& cache_v_zero_points,
|
|
const int head_num,
|
|
const int kv_head_num,
|
|
const int head_dim,
|
|
const int max_input_length,
|
|
const int use_moba_seq_limit,
|
|
const int max_seq_q,
|
|
const int max_seq_k,
|
|
const std::string &cache_quant_type_str);
|
|
|
|
|
|
void FusedBlockMeanAndRope(
|
|
const paddle::Tensor& qkv_out,
|
|
const paddle::Tensor& k_block_means,
|
|
const paddle::Tensor& q_input,
|
|
const paddle::Tensor& k_input,
|
|
const paddle::Tensor& v_input,
|
|
const paddle::Tensor& rotary_embs,
|
|
const paddle::Tensor& seq_len_encoder,
|
|
const paddle::Tensor& seq_len_decoder,
|
|
const paddle::Tensor& cu_seq_q,
|
|
const paddle::Tensor& cu_seq_k,
|
|
const paddle::optional<paddle::Tensor>& qkv_bias,
|
|
const int head_num,
|
|
const int kv_head_num,
|
|
const int head_dim,
|
|
const int max_input_length,
|
|
const int max_seq_q,
|
|
const int max_seq_k,
|
|
const std::string &cache_quant_type_str);
|
|
|
|
std::vector<paddle::Tensor> GetCurCuSeqLenk(
|
|
const paddle::Tensor& seq_lens_encoder,
|
|
const paddle::Tensor& seq_lens_decoder,
|
|
const paddle::Tensor& seq_lens_this_time,
|
|
const int pack_size);
|
|
|
|
std::vector<paddle::Tensor> MobaQKGemm(
|
|
const paddle::Tensor& q_input,
|
|
const paddle::Tensor& k_block_means,
|
|
const paddle::Tensor& seq_len_encoder,
|
|
const paddle::Tensor& seq_len_decoder,
|
|
const paddle::Tensor& cu_seq_q,
|
|
const paddle::Tensor& cu_seq_k,
|
|
const int max_seq_q,
|
|
const int max_seq_k,
|
|
const int head_num,
|
|
const int kv_head_num,
|
|
const bool is_split_kv,
|
|
const int use_moba_seq_limit);
|
|
|
|
std::vector<paddle::Tensor> QkSortDecoder(
|
|
const paddle::Tensor& qk_gate_weight,
|
|
const paddle::Tensor& seq_len_encoder,
|
|
const paddle::Tensor& seq_len_decoder,
|
|
const int head_num,
|
|
const int kv_head_num,
|
|
const int top_k_left,
|
|
const int top_k_right,
|
|
const int use_moba_seq_limit);
|
|
|
|
void GetKVFromCache(
|
|
const paddle::Tensor& k_input,
|
|
const paddle::Tensor& v_input,
|
|
const paddle::Tensor& cu_seq_k,
|
|
const paddle::Tensor& seq_len_encoder,
|
|
const paddle::Tensor& seq_len_decoder,
|
|
const paddle::Tensor& cache_k,
|
|
const paddle::Tensor& cache_v,
|
|
const paddle::Tensor& block_tables,
|
|
const paddle::optional<paddle::Tensor>& cache_k_dequant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_v_dequant_scale,
|
|
const paddle::optional<paddle::Tensor>& cache_k_zero_points,
|
|
const paddle::optional<paddle::Tensor>& cache_v_zero_points,
|
|
const int head_num,
|
|
const int kv_head_num,
|
|
const int head_dim,
|
|
const int max_input_length,
|
|
const int max_seq_k,
|
|
const std::string &cache_quant_type_str);
|
|
|
|
|
|
void MobaEncoderAttn(
|
|
const paddle::Tensor& q_input,
|
|
const paddle::Tensor& k_input,
|
|
const paddle::Tensor& v_input,
|
|
const paddle::Tensor& qk_gate_topk_idx,
|
|
const paddle::Tensor& cu_seq_q,
|
|
const paddle::Tensor& cu_seq_k,
|
|
const paddle::Tensor& cu_seq_q_pack,
|
|
const paddle::Tensor& seq_len_encoder,
|
|
const paddle::Tensor& seq_len_decoder,
|
|
const paddle::Tensor& out,
|
|
const int max_seq_q,
|
|
const int max_seq_k,
|
|
const int head_num,
|
|
const int kv_head_num,
|
|
const int head_dim,
|
|
const int max_input_length);
|
|
|
|
std::vector<paddle::Tensor> QkSortEncoder(
|
|
const paddle::Tensor& qk_gate_weight,
|
|
const paddle::Tensor& seq_len_encoder,
|
|
const paddle::Tensor& seq_len_decoder,
|
|
const paddle::Tensor& cu_seq_q,
|
|
const paddle::Tensor& cu_seq_k,
|
|
const paddle::Tensor& cu_seq_q_pack,
|
|
const paddle::Tensor& q_pack_tokens,
|
|
const int max_seq_q,
|
|
const int max_seq_k,
|
|
const int head_num,
|
|
const int kv_head_num,
|
|
const int top_k_left,
|
|
const int top_k_right,
|
|
const int use_moba_seq_limit);
|
|
|
|
std::vector<paddle::Tensor> MobaMlpEinsum(
|
|
const paddle::Tensor& k_input,
|
|
const paddle::Tensor& attn_gate_weight,
|
|
const paddle::Tensor& seq_lens_encoder,
|
|
const paddle::Tensor& seq_lens_decoder,
|
|
const paddle::Tensor& cu_seq_k,
|
|
const int max_seq_len,
|
|
const int kv_head_num);
|