Commit Graph

78 Commits (bcf0cbcbe78daeb7b4e732505e66b45a774a1460)

Author SHA1 Message Date
HELSON e5d615aeee
[hotfix] fix bugs in testing (#659)
* remove hybrid adam in test_moe_zero_optim

* fix activation checkpointing and its unitest
2022-04-02 21:58:47 +08:00
アマデウス 354b7954d1
[model checkpoint] added unit tests for checkpoint save/load (#599) 2022-04-01 16:53:32 +08:00
FredHuang99 93f14d2a33
[zero] test zero tensor utils (#609) 2022-04-01 15:16:59 +08:00
Jiarui Fang e956d93ac2
[refactor] memory utils (#577) 2022-04-01 09:22:33 +08:00
Jiarui Fang 705f56107c
[zero] refactor model data tracing (#537) 2022-03-28 16:38:18 +08:00
Jiarui Fang 8d8c5407c0
[zero] refactor model data tracing (#522) 2022-03-25 18:03:32 +08:00
Frank Lee 3601b2bad0
[test] fixed rerun_on_exception and adapted test cases (#487) 2022-03-25 17:25:12 +08:00
Jiarui Fang 4d322b79da
[refactor] remove old zero code (#517) 2022-03-25 14:54:39 +08:00
Jiarui Fang 920c5889a7
[zero] add colo move inline (#521) 2022-03-25 14:02:55 +08:00
Jiarui Fang 7ef3507ace
[zero] show model data cuda memory usage after zero context init. (#515) 2022-03-25 11:23:35 +08:00
Jiarui Fang 9330be0f3c
[memory] set cuda mem frac (#506) 2022-03-24 16:57:13 +08:00
Jiarui Fang 0035b7be07
[memory] add model data tensor moving api (#503) 2022-03-24 14:29:41 +08:00
Jiarui Fang b334822163
[zero] polish sharded param name (#484)
* [zero] polish sharded param name

* polish code

* polish

* polish code

* polish

* polsih

* polish
2022-03-22 14:36:16 +08:00
Frank Lee f27d801a13
[test] optimized zero data parallel test (#452) 2022-03-18 11:35:54 +08:00
Jiarui Fang 21dc54e019
[zero] memtracer to record cuda memory usage of model data and overall system (#395) 2022-03-14 22:05:30 +08:00
Jiarui Fang a37bf1bc42
[hotfix] rm test_tensor_detector.py (#413) 2022-03-14 21:39:48 +08:00
LuGY a9c27be42e
Added tensor detector (#393)
* Added tensor detector

* Added the - states

* Allowed change include_cpu when detect()
2022-03-14 18:01:46 +08:00
Frank Lee 1e4bf85cdb fixed bug in activation checkpointing test (#387) 2022-03-11 15:50:28 +08:00
Frank Lee 526a318032 [unit test] Refactored test cases with component func (#339)
* refactored test with component func

* fixed bug
2022-03-11 15:50:28 +08:00
LuGY de46450461 Added activation offload (#331)
* Added activation offload

* Fixed the import bug, used the pytest
2022-03-11 15:50:28 +08:00
Jiarui Fang b5f43acee3 [zero] find miss code (#378) 2022-03-11 15:50:28 +08:00
jiaruifang d9217e1960 Revert "[zero] bucketized tensor cpu gpu copy (#368)"
This reverts commit bef05489b6.
2022-03-11 15:50:28 +08:00
Jiarui Fang 00670c870e [zero] bucketized tensor cpu gpu copy (#368) 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
アマデウス 01a80cd86d
Hotfix/Colossalai layers (#92)
* optimized 1d layer apis; reorganized nn.layer modules; fixed tests

* fixed 2.5d runtime issue

* reworked split batch, now called in trainer.schedule.load_batch

Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
2021-12-29 23:32:10 +08:00
Frank Lee cd9c28e055
added CI for unit testing (#69) 2021-12-16 10:32:08 +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
zbian 404ecbdcc6 Migrated project 2021-10-28 18:21:23 +02:00