Commit Graph

30 Commits (79c9f776a9ea42991df54d11e2c4b3ac4a7eeea9)

Author SHA1 Message Date
Jiarui Fang 8c66a1d0aa
[polish] remove useless file _mem_tracer_hook.py (#1963) 2022-11-16 15:55:10 +08:00
LuGY 730f88f8e1 [NFC] polish _checkpoint_hook.py code style (#1722) 2022-10-19 12:20:51 +08:00
Boyuan Yao 20e466527b [NFC] polish ./colossalai/trainer/hooks/_lr_scheduler_hook.py code style (#1576) 2022-09-08 22:11:04 +08:00
Jiarui Fang bcab249565
fix issue #1080 (#1071) 2022-06-07 17:21:11 +08:00
Frank Lee 1c34382678
[doc] improved assertion messages in trainer (#873) 2022-04-26 10:00:12 +08:00
Jiarui Fang 61c20b44bc
[log] local throughput metrics (#811)
* Revert "[zero] add ZeroTensorShardStrategy (#793)"

This reverts commit 88759e289e.

* [gemini] set cpu memory capacity

* [log] local throughput collecting

* polish

* polish

* polish

* polish code

* polish
2022-04-20 10:05:39 +08:00
Jiarui Fang 4d9332b4c5
[refactor] moving memtracer to gemini (#801) 2022-04-19 10:13:08 +08:00
LuGY 80e37eec42
fix the ckpt bugs when using DDP (#769) 2022-04-14 21:03:24 +08:00
HELSON 340e59f968
[utils] add synchronized cuda memory monitor (#740) 2022-04-13 10:50:54 +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
アマデウス 28b515d610
[model checkpoint] updated checkpoint hook (#598) 2022-04-01 16:53:03 +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
Jie Zhu 73d36618a6
[profiler] add MemProfiler (#356)
* add memory trainer hook

* fix bug

* add memory trainer hook

* fix import bug

* fix import bug

* add trainer hook

* fix #370 git log bug

* modify `to_tensorboard` function to support better output

* remove useless output

* change the name of `MemProfiler`

* complete memory profiler

* replace error with warning

* finish trainer hook

* modify interface of MemProfiler

* modify `__init__.py` in profiler

* remove unnecessary pass statement

* add usage to doc string

* add usage to trainer hook

* new location to store temp data file
2022-03-29 12:48:34 +08:00
1SAA 73bff11288 Added profiler communication operations
Fixed bug for learning rate scheduler
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
Jiarui Fang 569357fea0
add pytorch hooks (#179)
* add pytorch hooks
fix #175

* remove licenses in src code

* add gpu memory tracer

* replacing print with logger in ophooks.
2022-01-25 22:20:54 +08:00
HELSON 0f8c7f9804
Fixed docstring in colossalai (#171) 2022-01-21 10:44:30 +08:00
BoxiangW 4a3d3446b0
Update layer integration documentations (#108)
Update the documentations of layer integration

Update _log_hook.py

Update _operation.py
2022-01-10 18:05:58 +08:00
Jiarui Fang 2c0c85d3d3
fix a bug in timer (#114) 2022-01-05 16:07:06 +08:00
ver217 7904baf6e1
fix layers/schedule for hybrid parallelization (#111) (#112) 2022-01-04 20:52:31 +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
Frank Lee cd9c28e055
added CI for unit testing (#69) 2021-12-16 10:32:08 +08:00
Frank Lee 9a0466534c
update markdown docs (english) (#60) 2021-12-10 14:37:33 +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