Commit Graph

27 Commits (b29e1f07224298aea35aab7ee83284beac28e0d8)

Author SHA1 Message Date
digger-yu b9a8dff7e5
[doc] Fix typo under colossalai and doc(#3618)
* Fixed several spelling errors under colossalai

* Fix the spelling error in colossalai and docs directory

* Cautious Changed the spelling error under the example folder

* Update runtime_preparation_pass.py

revert autograft to autograd

* Update search_chunk.py

utile to until

* Update check_installation.py

change misteach to mismatch in line 91

* Update 1D_tensor_parallel.md

revert to perceptron

* Update 2D_tensor_parallel.md

revert to perceptron in line 73

* Update 2p5D_tensor_parallel.md

revert to perceptron in line 71

* Update 3D_tensor_parallel.md

revert to perceptron in line 80

* Update README.md

revert to resnet in line 42

* Update reorder_graph.py

revert to indice in line 7

* Update p2p.py

revert to megatron in line 94

* Update initialize.py

revert to torchrun in line 198

* Update routers.py

change to detailed in line 63

* Update routers.py

change to detailed in line 146

* Update README.md

revert  random number in line 402
2023-04-26 11:38:43 +08:00
アマデウス e52f9d9109
[tensorparallel] fixed tp layers (#1938) 2022-11-14 17:34:03 +08:00
Jiarui Fang 986f8cbaa7
[inference] overlap comm and compute in Linear1D_Row when stream_chunk_num > 1 (#1876) 2022-11-10 17:36:42 +08:00
Jiarui Fang c2947dadf1
[inference] streaming Linear 1D Row inference (#1874) 2022-11-10 17:03:21 +08:00
アマデウス 4268ae017b
[kernel] added jit warmup (#1792) 2022-11-08 16:22:23 +08:00
kurisusnowdeng 0b8161fab8 updated tp layers 2022-11-02 12:19:38 +08:00
ver217 10dd8226b1
add gather_output for VocabParallelClassifier1D (#1569) 2022-09-08 16:40:56 +08:00
ver217 ae71036cd2
[utils] refactor parallel layers checkpoint and bcast model on loading checkpoint (#1548)
* refactor parallel layer

* broadcast rank0 model after load ckpt
2022-09-06 20:18:35 +08:00
Wangbo Zhao(黑色枷锁) 552667825b [NFC] polish colossalai/nn/layer/parallel_1d/layers.py code style (#1290) 2022-07-13 12:08:21 +08:00
Ziyue Jiang 0653c63eaa
[Tensor] 1d row embedding (#1075)
* Add CPU 1d row embedding

* polish
2022-06-08 12:04:59 +08:00
アマデウス b8899e0905
[TP] allow layernorm without bias (#750) 2022-04-14 11:43:56 +08:00
アマデウス c50bfb807b
[model checkpoint] updated saving/loading for 1d layers (#594) 2022-04-01 16:51:52 +08:00
Ziyue Jiang 1c40ee8749
[TP] add assert for tp1d (#621) 2022-04-01 16:44:23 +08:00
Wesley 46c9ba33da update code format 2022-03-31 17:15:08 +08:00
Wesley 666cfd094a fix parallel_input flag for Linear1D_Col gather_output 2022-03-31 17:15:08 +08:00
Liang Bowen ec5086c49c Refactored docstring to google style 2022-03-29 17:17:47 +08:00
Jiang Zhuo 5a4a3b77d9 fix format (#376) 2022-03-11 15:50:28 +08:00
xuqifan897 148207048e Qifan formated file ColossalAI\colossalai\nn\layer\parallel_1d\layers.py (#342) 2022-03-11 15:50:28 +08:00
zbian 3dba070580 fixed padding index issue for vocab parallel embedding layers; updated 3D linear to be compatible with examples in the tutorial 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
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
ver217 7904baf6e1
fix layers/schedule for hybrid parallelization (#111) (#112) 2022-01-04 20:52:31 +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 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