Commit Graph

27 Commits (14e5b11d7f0a5f427a5c0b6de3075b41c3f736e2)

Author SHA1 Message Date
ver217 1d625fcd36
[setup] support more cuda architectures (#920)
* support more cuda archs

* polish code
2022-05-09 10:56:45 +08:00
ver217 5d8f1262fb
update cuda ext cc flags (#919) 2022-05-07 18:01:04 +08:00
ver217 150b1a7453
update local version format (#909) 2022-05-05 14:59:12 +08:00
ver217 daf59ff72e
[setup] add local version label (#890) 2022-04-27 15:26:12 +08:00
Frank Lee 9f6f656952
[setup] use env var instead of option for cuda ext (#839) 2022-04-22 15:44:56 +08:00
Frank Lee 5e00e6cf23
[setup] allow installation with python 3.6 (#834) 2022-04-22 14:17:51 +08:00
FrankLeeeee f63e91d280 [cli] fixed a bug in user args and refactored the module structure 2022-04-19 15:15:16 +08:00
Jiarui Fang e761ad2cd7
Revert "[zero] add ZeroTensorShardStrategy (#793)" (#806) 2022-04-19 14:40:02 +08:00
HELSON 88759e289e
[zero] add ZeroTensorShardStrategy (#793) 2022-04-19 14:32:45 +08:00
Frank Lee 05d9ae5999
[cli] add missing requirement (#805) 2022-04-19 13:56:59 +08:00
YuliangLiu0306 cfadc9df8e
[cli] added distributed launcher command (#791)
* [CLI] add CLI launcher

* Revert "[CLI] add CLI launcher"

This reverts commit df7e6506d4.

* [CLI]add cli launcher feature

* remove testing message used during developing

* refactor the module structure.
2022-04-19 10:59:44 +08:00
Frank Lee a5c3f072f6
[bug] removed zero installation requirements (#731) 2022-04-12 13:27:25 +08:00
Frank Lee f0d6e2208b
[polish] add license meta to setup.py (#427) 2022-03-16 12:05:56 +08:00
xyupeng af801cb4df fix format setup.py (#343) 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
FrankLeeeee dfc3fafe89 update unit testing CI rules 2022-03-11 15:50:28 +08:00
FrankLeeeee bbbfe9b2c9 added compatibility CI and options for release ci 2022-03-11 15:50:28 +08:00
1SAA 219df6e685 Optimized MoE layer and fixed some bugs;
Decreased moe tests;

Added FFNExperts and ViTMoE model
2022-03-11 15:50:28 +08:00
ver217 24f8583cc4 update setup info (#233) 2022-03-11 15:50:28 +08:00
ver217 578ea0583b update setup and workflow (#222) 2022-02-15 11:31:13 +08:00
ver217 f68eddfb3d
refactor kernel (#142) 2022-01-13 16:47:17 +08:00
shenggan 5c3843dc98
add colossalai kernel module (#55) 2021-12-21 12:19:52 +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
ver217 9942fd5bfa
remove redundancy func in setup (#19) (#20) 2021-11-15 16:43:28 +08:00
binmakeswell 05e7069a5b fixed some typos in the documents, added blog link and paper author information in README 2021-11-03 17:18:43 +08:00
zbian 404ecbdcc6 Migrated project 2021-10-28 18:21:23 +02:00