Commit Graph

36 Commits (7c7921f71bf93e739b1939c724a4cfe9cd405247)

Author SHA1 Message Date
kurisusnowdeng 0b8161fab8 updated tp layers 2022-11-02 12:19:38 +08:00
HELSON 1468e4bcfc
[zero] add constant placement policy (#1705)
* fixes memory leak when paramter is in fp16 in ZeroDDP init.
* bans chunk releasement in CUDA. Only when a chunk is about to offload, it is allowed to release.
* adds a constant placement policy. With it, users can allocate a reserved caching memory space for parameters.
2022-10-14 17:53:16 +08:00
HELSON 95c35f73bd
[moe] initialize MoE groups by ProcessGroup (#1640) 2022-09-23 17:20:41 +08:00
Frank Lee 27fe8af60c
[autoparallel] refactored shape consistency to remove redundancy (#1591)
* [autoparallel] refactored shape consistency to remove redundancy

* polish code

* polish code

* polish code
2022-09-13 18:30:18 +08:00
ver217 d068af81a3
[doc] update rst and docstring (#1351)
* update rst

* add zero docstr

* fix docstr

* remove fx.tracer.meta_patch

* fix docstr

* fix docstr

* update fx rst

* fix fx docstr

* remove useless rst
2022-07-21 15:54:53 +08:00
Frank Lee 2238758c2e
[usability] improved error messages in the context module (#856) 2022-04-25 13:42:31 +08:00
Frank Lee 920fe31526
[compatibility] used backward-compatible API for global process group (#758) 2022-04-14 17:20:35 +08:00
Frank Lee 04ff5ea546
[utils] support detection of number of processes on current node (#723) 2022-04-12 09:28:19 +08:00
Cautiousss 055d0270c8 [NFC] polish colossalai/context/process_group_initializer/initializer_sequence.py colossalai/context/process_group_initializer initializer_tensor.py code style (#639)
Co-authored-by: 何晓昕 <cautious@r-236-100-25-172.comp.nus.edu.sg>
2022-04-06 11:40:59 +08:00
Jiang Zhuo 0a96338b13 [NFC] polish <colossalai/context/process_group_initializer/initializer_data.py> code stype (#626)
Co-authored-by: 姜卓 <jiangzhuo@jiangzhuodeMacBook-Pro.local>
2022-04-06 11:40:59 +08:00
ziyu huang 701bad439b [NFC] polish colossalai/context/process_group_initializer/process_group_initializer.py code stype (#617)
Co-authored-by: “Arsmart123 <202476410arsmart@gmail.com>
2022-04-06 11:40:59 +08:00
アマデウス 297b8baae2
[model checkpoint] add gloo groups for cpu tensor communication (#589) 2022-04-01 10:15:52 +08:00
Liang Bowen 2c45efc398
html refactor (#555) 2022-03-31 11:36:56 +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 f24b5ed201
[MOE] remove old MoE legacy (#493) 2022-03-22 17:37:16 +08:00
Jiarui Fang 65c0f380c2
[format] polish name format for MOE (#481) 2022-03-21 23:19:47 +08:00
HELSON 7544347145
[MOE] add unitest for MOE experts layout, gradient handler and kernel (#469) 2022-03-21 13:35:04 +08:00
HELSON 84fd7c1d4d
add moe context, moe utilities and refactor gradient handler (#455) 2022-03-18 16:38:32 +08:00
Frank Lee b72b8445c6
optimized context test time consumption (#446) 2022-03-17 14:40:52 +08:00
Frank Lee 1e4bf85cdb fixed bug in activation checkpointing test (#387) 2022-03-11 15:50:28 +08:00
RichardoLuo 8539898ec6 flake8 style change (#363) 2022-03-11 15:50:28 +08:00
ziyu huang a77d73f22b fix format parallel_context.py (#359)
Co-authored-by: huangziyu <202476410arsmart@gmail.com>
2022-03-11 15:50:28 +08:00
Maruyama_Aya e83970e3dc fix format ColossalAI\colossalai\context\process_group_initializer 2022-03-11 15:50:28 +08:00
アマデウス 9ee197d0e9 moved env variables to global variables; (#215)
added branch context;
added vocab parallel layers;
moved split_batch from load_batch to tensor parallel embedding layers;
updated gpt model;
updated unit test cases;
fixed few collective communicator bugs
2022-02-15 11:31:13 +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 a951bc6089
update default logger (#100) (#101) 2022-01-04 20:03:26 +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 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
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
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