Commit Graph

41 Commits (d857f3dbba22c7c2ae411f743166a83421e086e8)

Author SHA1 Message Date
digger yu de0d7df33f
[nfc] fix typo colossalai/zero (#3923) 2023-06-08 00:01:29 +08:00
ver217 26b7aac0be
[zero] reorganize zero/gemini folder structure (#3424)
* [zero] refactor low-level zero folder structure

* [zero] fix legacy zero import path

* [zero] fix legacy zero import path

* [zero] remove useless import

* [zero] refactor gemini folder structure

* [zero] refactor gemini folder structure

* [zero] refactor legacy zero import path

* [zero] refactor gemini folder structure

* [zero] refactor gemini folder structure

* [zero] refactor gemini folder structure

* [zero] refactor legacy zero import path

* [zero] fix test import path

* [zero] fix test

* [zero] fix circular import

* [zero] update import
2023-04-04 13:48:16 +08:00
Haofan Wang 9358262992
Fix False warning in initialize.py (#2456)
* Update initialize.py

* pre-commit run check
2023-01-12 13:49:01 +08:00
Jiarui Fang 4165eabb1e
[hotfix] remove potiential circle import (#1307)
* make it faster

* [hotfix] remove circle import
2022-07-14 13:44:26 +08:00
Frank Lee 91a5999825
[ddp] supported customized torch ddp configuration (#1123) 2022-06-15 18:11:53 +08:00
Frank Lee 3d10be33bd
[cudnn] set False to cudnn benchmark by default (#1063) 2022-06-03 17:58:06 +08:00
Frank Lee 7a64fae33a
[doc] improved error messages in initialize (#872) 2022-04-26 10:00:03 +08:00
LuGY c1e8d2001e
modefied the pp build for ckpt adaptation (#803) 2022-04-24 12:23:16 +08:00
Jiarui Fang 227d1cd4b3
[gemini] APIs to set cpu memory capacity (#809) 2022-04-19 16:05:22 +08:00
Jiarui Fang 681addb512
[refactor] moving grad acc logic to engine (#804) 2022-04-19 14:03:21 +08:00
ver217 097772546e fix initialize about zero 2022-04-13 19:10:21 +08:00
Frank Lee 04ff5ea546
[utils] support detection of number of processes on current node (#723) 2022-04-12 09:28:19 +08:00
YuliangLiu0306 0ed7042f42
[pipeline] refactor pipeline (#679)
* refactor pipeline---put runtime schedule into engine.

* add type hint for schedule Optional[BaseSchedule]

* preprocess schedule during engine initializing

* infer pipeline schedule params from config
2022-04-07 15:54:14 +08:00
YuliangLiu0306 ade05a5d83
[refactor] pipeline, put runtime schedule into engine. (#627) 2022-04-03 20:46:45 +08:00
Liang Bowen ec5086c49c Refactored docstring to google style 2022-03-29 17:17:47 +08:00
Jiarui Fang a445e118cf
[polish] polish singleton and global context (#500) 2022-03-23 18:03:39 +08:00
HELSON 7544347145
[MOE] add unitest for MOE experts layout, gradient handler and kernel (#469) 2022-03-21 13:35:04 +08:00
ver217 a241f61b34
[zero] Update initialize for ZeRO (#458)
* polish code

* shard strategy receive pg in shard() / gather()

* update zero engine

* polish code
2022-03-18 16:18:31 +08:00
ver217 642846d6f9
update sharded optim and fix zero init ctx (#457) 2022-03-18 15:44:47 +08:00
Jiarui Fang e2e9f82588
Revert "[zero] update sharded optim and fix zero init ctx" (#456)
* Revert "polish code"

This reverts commit 8cf7ff08cf.

* Revert "rename variables"

This reverts commit e99af94ab8.

* Revert "remove surplus imports"

This reverts commit 46add4a5c5.

* Revert "update sharded optim and fix zero init ctx"

This reverts commit 57567ee768.
2022-03-18 15:22:43 +08:00
ver217 57567ee768 update sharded optim and fix zero init ctx 2022-03-18 14:25:25 +08:00
Jiarui Fang 496cbb0760
[hotfix] fix initialize bug with zero (#442) 2022-03-17 13:16:22 +08:00
Jiarui Fang 640a6cd304
[refactory] refactory the initialize method for new zero design (#431) 2022-03-16 19:29:37 +08:00
Frank Lee e79ea44247
[fp16] refactored fp16 optimizer (#392) 2022-03-15 10:05:38 +08:00
Frank Lee 6a3188167c set criterion as optional in colossalai initialize (#336) 2022-03-11 15:50:28 +08:00
Frank Lee e17e54e32a added buffer sync to naive amp model wrapper (#291) 2022-03-11 15:50:28 +08:00
Jie Zhu f867365aba bug fix: pass hook_list to engine (#273)
* bug fix: pass hook_list to engine

* change parameter name
2022-03-11 15:50:28 +08:00
Jiarui Fang 5a560a060a Feature/zero (#279)
* add zero1 (#209)

* add zero1

* add test zero1

* update zero stage 1 develop (#212)

* Implement naive zero3 (#240)

* naive zero3 works well

* add zero3 param manager

* add TODOs in comments

* add gather full param ctx

* fix sub module streams

* add offload

* fix bugs of hook and add unit tests

* fix bugs of hook and add unit tests (#252)

* add gather full param ctx

* fix sub module streams

* add offload

* fix bugs of hook and add unit tests

* polish code and add state dict hook

* fix bug

* update unit test

* refactor reconstructed zero code

* clip_grad support zero3 and add unit test

* add unit test for Zero3ParameterManager

* [WIP] initialize the shard param class

* [WIP] Yet another sharded model implementation (#274)

* [WIP] initialize the shard param class

* [WIP] Yes another implementation of shardModel. Using a better hook method.

* torch.concat -> torch.cat

* fix test_zero_level_1.py::test_zero_level_1 unitest

* remove deepspeed implementation and refactor for the reconstructed zero module

* polish zero dp unittests

Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
2022-03-11 15:50:28 +08:00
Frank Lee 765db512b5
fixed ddp bug on torch 1.8 (#194) 2022-01-28 15:14:04 +08:00
HELSON 0f8c7f9804
Fixed docstring in colossalai (#171) 2022-01-21 10:44:30 +08:00
Frank Lee e2089c5c15
adapted for sequence parallel (#163) 2022-01-20 13:44:51 +08:00
HELSON dceae85195
Added MoE parallel (#127) 2022-01-07 15:08:36 +08:00
ver217 293fb40c42
add scatter/gather optim for pipeline (#123) 2022-01-07 13:22:22 +08:00
ver217 96780e6ee4
Optimize pipeline schedule (#94)
* add pipeline shared module wrapper and update load batch

* added model parallel process group for amp and clip grad (#86)

* added model parallel process group for amp and clip grad

* update amp and clip with model parallel process group

* remove pipeline_prev/next group (#88)

* micro batch offload

* optimize pipeline gpu memory usage

* pipeline can receive tensor shape (#93)

* optimize pipeline gpu memory usage

* fix grad accumulation step counter

* rename classes and functions

Co-authored-by: Frank Lee <somerlee.9@gmail.com>
2021-12-30 15:56:46 +08:00
アマデウス 0fedef4f3c
Layer integration (#83)
* integrated parallel layers for ease of building models

* integrated 2.5d layers

* cleaned codes and unit tests

* added log metric by step hook; updated imagenet benchmark; fixed some bugs

* reworked initialization; cleaned codes

Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
2021-12-27 15:04:32 +08:00
ver217 8f02a88db2
add interleaved pipeline, fix naive amp and update pipeline model initializer (#80) 2021-12-20 23:26:19 +08:00
Frank Lee 35813ed3c4
update examples and sphnix docs for the new api (#63) 2021-12-13 22:07:01 +08:00
ver217 7d3711058f
fix zero3 fp16 and add zero3 model context (#62) 2021-12-10 17:48:50 +08:00
Frank Lee da01c234e1
Develop/experiments (#59)
* Add gradient accumulation, fix lr scheduler

* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)

* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes

* fixed trainer

* Revert "fixed trainer"

This reverts commit 2e0b0b7699.

* improved consistency between trainer, engine and schedule (#23)

Co-authored-by: 1SAA <c2h214748@gmail.com>

* Split conv2d, class token, positional embedding in 2d, Fix random number in ddp
Fix convergence in cifar10, Imagenet1000

* Integrate 1d tensor parallel in Colossal-AI (#39)

* fixed 1D and 2D convergence (#38)

* optimized 2D operations

* fixed 1D ViT convergence problem

* Feature/ddp (#49)

* remove redundancy func in setup (#19) (#20)

* use env to control the language of doc (#24) (#25)

* Support TP-compatible Torch AMP and Update trainer API (#27)

* Add gradient accumulation, fix lr scheduler

* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)

* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes

* fixed trainer

* Revert "fixed trainer"

This reverts commit 2e0b0b7699.

* improved consistency between trainer, engine and schedule (#23)

Co-authored-by: 1SAA <c2h214748@gmail.com>

Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>

* add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29)

* add explanation for ViT example (#35) (#36)

* support torch ddp

* fix loss accumulation

* add log for ddp

* change seed

* modify timing hook

Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* Feature/pipeline (#40)

* remove redundancy func in setup (#19) (#20)

* use env to control the language of doc (#24) (#25)

* Support TP-compatible Torch AMP and Update trainer API (#27)

* Add gradient accumulation, fix lr scheduler

* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)

* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes

* fixed trainer

* Revert "fixed trainer"

This reverts commit 2e0b0b7699.

* improved consistency between trainer, engine and schedule (#23)

Co-authored-by: 1SAA <c2h214748@gmail.com>

Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>

* add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29)

* add explanation for ViT example (#35) (#36)

* optimize communication of pipeline parallel

* fix grad clip for pipeline

Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* optimized 3d layer to fix slow computation ; tested imagenet performance with 3d; reworked lr_scheduler config definition; fixed launch args; fixed some printing issues; simplified apis of 3d layers (#51)

* Update 2.5d layer code to get a similar accuracy on imagenet-1k dataset

* update api for better usability (#58)

update api for better usability

Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: puck_WCR <46049915+WANG-CR@users.noreply.github.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
2021-12-09 15:08:29 +08:00
Frank Lee 3defa32aee
Support TP-compatible Torch AMP and Update trainer API (#27)
* Add gradient accumulation, fix lr scheduler

* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)

* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes

* fixed trainer

* Revert "fixed trainer"

This reverts commit 2e0b0b7699.

* improved consistency between trainer, engine and schedule (#23)

Co-authored-by: 1SAA <c2h214748@gmail.com>

Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
2021-11-18 19:45:06 +08:00
zbian 404ecbdcc6 Migrated project 2021-10-28 18:21:23 +02:00