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[LLM] Support fuse attention q, k, v weights #8202

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merged 29 commits into from
Apr 25, 2024

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DrownFish19
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@DrownFish19 DrownFish19 commented Mar 28, 2024

PR types

New features

PR changes

APIs and Models

Description

  1. Support fuse attention q, k, v weights
  • fuse_attention_qkv
image
  • fuse_attention_ffn
    normal fuse weights
  1. 性能测试(llama-7b)
分布式 原始加载时间 fuse加载时间
DP 20 23
PP4 5 7
TP2 10 23

ziangqin-baidu and others added 4 commits March 18, 2024 08:06
1.1. modify 1., code order

2. switch to name_mapping

3. solve tp branch

3.2 follow hui, handel qkv separately

3.3 handle pdparams

3.4 from torch

3.5 abandon low_cpu_mem_usage

3.6 solve shard branch
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paddle-bot bot commented Mar 28, 2024

Thanks for your contribution!

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codecov bot commented Mar 28, 2024

Codecov Report

Attention: Patch coverage is 94.34783% with 13 lines in your changes are missing coverage. Please review.

Project coverage is 55.45%. Comparing base (beb433a) to head (f6f3b0e).
Report is 2 commits behind head on develop.

Files Patch % Lines
paddlenlp/transformers/conversion_utils.py 94.82% 6 Missing ⚠️
paddlenlp/transformers/opt/modeling.py 81.81% 4 Missing ⚠️
paddlenlp/transformers/model_utils.py 91.89% 3 Missing ⚠️
Additional details and impacted files
@@             Coverage Diff             @@
##           develop    #8202      +/-   ##
===========================================
+ Coverage    55.33%   55.45%   +0.12%     
===========================================
  Files          614      614              
  Lines        95341    95570     +229     
===========================================
+ Hits         52753    52999     +246     
+ Misses       42588    42571      -17     

☔ View full report in Codecov by Sentry.
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@DrownFish19 DrownFish19 force-pushed the dev-fuse-qkv branch 5 times, most recently from 0fd4d1f to 753c980 Compare April 1, 2024 11:25
@DrownFish19 DrownFish19 marked this pull request as ready for review April 2, 2024 12:04
paddlenlp/transformers/conversion_utils.py Outdated Show resolved Hide resolved
paddlenlp/transformers/conversion_utils.py Outdated Show resolved Hide resolved
paddlenlp/transformers/gpt/modeling.py Outdated Show resolved Hide resolved
@ZHUI
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ZHUI commented Apr 17, 2024

简单测试 llama 7b 加载速度。

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ZHUI commented Apr 17, 2024

LoRA 适配

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LGTM

@ZHUI ZHUI merged commit f29a7b9 into PaddlePaddle:develop Apr 25, 2024
8 of 10 checks passed
@DrownFish19 DrownFish19 deleted the dev-fuse-qkv branch April 29, 2024 08:45
wawltor pushed a commit that referenced this pull request May 24, 2024
* [XPU] llama add xpu support (#8282)

* [XPU] llama add xpu support

* fix

* use try import

* fix

* refine

* refine

* refine

* refine

* update (#8399)

* [LLM] Support fuse attention q, k, v weights  (#8202)

1. add use-interface & fuse action

1.1. modify 1., code order

2. switch to name_mapping

3. solve tp branch

3.2 follow hui, handel qkv separately

3.3 handle pdparams

3.4 from torch

3.5 abandon low_cpu_mem_usage

3.6 solve shard branch

* 3.6.1 solve shard branch after rebase develop

* code clean

* remove debug comment

* Redefine fuse and split functions

* Redefine fuse and split functions

* comment and fix

* update method

* update QKV fuse and split

* support fuse weights in multi-files

* add precision compare

* simplify function call

* support use_fast_ffn

* clean modeling and configuration

* add test for gpt and opt

* fix tp_actions get

* add fast_ffn test

* add Qwen2Moe

* Revert "add Qwen2Moe"

This reverts commit 113b883.

* add test for split

* update doc

* update filter_dict_keys

---------

Co-authored-by: Zii <[email protected]>

* [LLM] Fix fuse or split with same key (#8378)

* fix fuse or split with same key

* fix

* fix eps

* update format

* [LLM] add decay steps option for finetuning (#8251)

* [LLM] add memory stats to logger of trainer (#8269)

* [Distributed] fix lora (#8325)

* [LLM] fix lora target modules on llama (#8372)

* [Distributed] metric calculation supports tp logits (#8370)

* Update model_utils.py

* Update model_utils.py

* Update model_utils.py

---------

Co-authored-by: Jianbang Yang <[email protected]>
Co-authored-by: DrownFish19 <[email protected]>
Co-authored-by: Zii <[email protected]>
Co-authored-by: Tian <[email protected]>
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3 participants