Commit Graph

21 Commits (cf6d1c9284dbc397a4847ccea7f78b8a0890ed60)

Author SHA1 Message Date
HELSON a9b8300d54
[zero] improve adaptability for not-shard parameters (#708)
* adapt post grad hooks for not-shard parameters
* adapt optimizer for not-shard parameters
* offload gradients for not-replicated parameters
2022-04-11 13:38:51 +08:00
HELSON b31daed4cf
fix bugs in CPU adam (#633)
* add cpu adam counter for all cpu adam

* fixed updating error in adam kernel
2022-04-02 17:04:05 +08:00
ver217 e619a651fb
polish optimizer docstring (#619) 2022-04-01 16:27:03 +08:00
ver217 104cbbb313
[hotfix] add hybrid adam to __init__ (#584) 2022-03-31 19:08:34 +08:00
LuGY c44d797072
[docs] updatad docs of hybrid adam and cpu adam (#552) 2022-03-30 18:14:59 +08:00
LuGY 105c5301c3
[zero]added hybrid adam, removed loss scale in adam (#527)
* [zero]added hybrid adam, removed loss scale of adam

* remove useless code
2022-03-25 18:03:54 +08:00
LuGY 6a3f9fda83
[cuda] modify the fused adam, support hybrid of fp16 and fp32 (#497) 2022-03-25 14:15:53 +08:00
ver217 9ec1ce6ab1
[zero] sharded model support the reuse of fp16 shard (#495)
* sharded model supports reuse fp16 shard

* rename variable

* polish code

* polish code

* polish code
2022-03-23 14:59:59 +08:00
ver217 62b0a8d644
[zero] sharded optim support hybrid cpu adam (#486)
* sharded optim support hybrid cpu adam

* update unit test

* polish docstring
2022-03-22 14:56:59 +08:00
HELSON 7544347145
[MOE] add unitest for MOE experts layout, gradient handler and kernel (#469) 2022-03-21 13:35:04 +08:00
Jiarui Fang 0fcfb1e00d
[test] make zero engine test really work (#447) 2022-03-17 17:24:25 +08:00
Jiarui Fang 237d08e7ee
[zero] hybrid cpu adam (#445) 2022-03-17 15:05:41 +08:00
Kai Wang (Victor Kai) 53bb3bcc0a fix format (#362) 2022-03-11 15:50:28 +08:00
LuGY a3269de5c9 [zero] cpu adam kernel (#288)
* Added CPU Adam

* finished the cpu adam

* updated the license

* delete useless parameters, removed resnet

* modified the method off cpu adam unittest

* deleted some useless codes

* removed useless codes

Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: jiaruifang <fangjiarui123@gmail.com>
2022-03-11 15:50:28 +08:00
HELSON 0f8c7f9804
Fixed docstring in colossalai (#171) 2022-01-21 10:44:30 +08:00
ver217 f68eddfb3d
refactor kernel (#142) 2022-01-13 16:47:17 +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
ver217 dbe62c67b8
add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29) 2021-11-18 23:45:09 +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
ver217 3c7604ba30 update documentation 2021-10-29 09:29:20 +08:00
zbian 404ecbdcc6 Migrated project 2021-10-28 18:21:23 +02:00