ColossalAI

Commit Graph

Author	SHA1	Message	Date
mandoxzhang	52bd106627	add RoBERTa (#1980 ) * update roberta * update roberta & readme * update roberta & readme * update roberta & readme	2 years ago
Jiarui Fang	f7e276fa71	[Gemini] add GeminiAdamOptimizer (#1960 )	2 years ago
Jiarui Fang	60abd86d6a	[example] enhance GPT demo (#1959 ) * [example] enhence GPT demo * Update README.md Co-authored-by: binmakeswell <binmakeswell@gmail.com>	2 years ago
Fazzie	a09f88ab07	update model download in README	2 years ago
Fazzie-Maqianli	6bdd0a90ca	update lightning version (#1954 )	2 years ago
binmakeswell	9183e0dec5	[tutorial] polish all README (#1946 )	2 years ago
Frank Lee	de56b563b9	[tutorial] added missing dummy dataloader (#1944 )	2 years ago
Frank Lee	c6ea65011f	[tutorial] fixed pipeline bug for sequence parallel (#1943 )	2 years ago
Jiarui Fang	cf68cc92ac	[example] add vit (#1942 ) * [ColoTensor] ColoInitContext initialize parameters in shard mode. * polish * [example] add vit	2 years ago
YuliangLiu0306	c7925c5d08	[sc demo] add requirements to spmd README (#1941 )	2 years ago
Boyuan Yao	d5f5e06d82	[SC] remove redundant hands on (#1939 ) * [sc] SC tutorial for auto checkpoint * [sc] polish examples * [sc] polish readme * [sc] polish readme and help information * [sc] polish readme and help information * [sc] modify auto checkpoint benchmark * [sc] remove imgs * [sc] remove redundant handson	2 years ago
binmakeswell	41868f7605	[tutorial] polish README and OPT files (#1930 ) * [tutorial] polish README and OPT files * [tutorial] polish README and OPT files * [tutorial] polish README and OPT files	2 years ago
ver217	b0b7a786b7	[tutorial] add synthetic dataset for opt (#1924 )	2 years ago
Frank Lee	0486048453	[tutorial] updated hybrid parallel readme (#1928 ) * [tutorial] updated hybrid parallel readme * polish code	2 years ago
Frank Lee	807cbdb87d	[tutorial] added synthetic data for sequence parallel (#1927 ) * [tutorial] added synthetic data for sequence parallel * polish code	2 years ago
Frank Lee	abf4c27f6a	[tutorial] removed huggingface model warning (#1925 )	2 years ago
Frank Lee	d43a671ad6	Hotfix/tutorial readme index (#1922 ) * [tutorial] removed tutorial index in readme * [tutorial] removed tutorial index in readme	2 years ago
Boyuan Yao	24cbee0ebe	[tutorial] modify hands-on of auto activation checkpoint (#1920 ) * [sc] SC tutorial for auto checkpoint * [sc] polish examples * [sc] polish readme * [sc] polish readme and help information * [sc] polish readme and help information * [sc] modify auto checkpoint benchmark * [sc] remove imgs	2 years ago
Frank Lee	ff16773ded	[tutorial] added synthetic data for hybrid parallel (#1921 ) * [tutorial] added synthetic data for hybrid parallel * polish code	2 years ago
Frank Lee	3c42fdbedc	[tutorial] added synthetic data for hybrid parallel (#1919 )	2 years ago
Frank Lee	1b0dd05940	[tutorial] added synthetic dataset for auto parallel demo (#1918 )	2 years ago
Frank Lee	acd9abc5ca	[tutorial] updated auto parallel demo with latest data path (#1917 )	2 years ago
Frank Lee	d53415bc10	[tutorial] added data script and updated readme (#1916 )	2 years ago
binmakeswell	155e202318	[example] update auto_parallel img path (#1910 )	2 years ago
Boyuan Yao	d5c5bc219e	[SC] add GPT example for auto checkpoint (#1889 ) * [sc] SC tutorial for auto checkpoint * [sc] polish examples * [sc] polish readme * [sc] polish readme and help information * [sc] polish readme and help information	2 years ago
binmakeswell	11ee8ae478	[tutorial] add cifar10 for diffusion (#1907 )	2 years ago
Frank Lee	cb7ec714c8	[tutorial] removed duplicated tutorials (#1904 )	2 years ago
Fazzie-Maqianli	351f0f64e6	[example] add cifar10 dadaset for diffusion (#1902 ) * add cifar10 dadasets * Update README.md Co-authored-by: binmakeswell <binmakeswell@gmail.com>	2 years ago
BoxiangW	ca6e75bc28	[tutorial] edited hands-on practices (#1899 ) * Add handson to ColossalAI. * Change names of handsons and edit sequence parallel example. * Edit wrong folder name * resolve conflict * delete readme	2 years ago
BoxiangW	d9bf83e084	Add handson to ColossalAI. (#1896 ) Co-authored-by: Boxiang Wang <boxiang.wang1@gmail.com>	2 years ago
Super Daniel	6d559ea614	[sc] add examples for auto checkpoint. (#1880 )	2 years ago
HELSON	f9e7d179f2	[diffusion] fix package conflicts (#1875 )	2 years ago
binmakeswell	610dda676c	[example] migrate diffusion and auto_parallel hands-on (#1871 )	2 years ago
binmakeswell	50c4cb0167	[NFC] remove redundant dependency (#1869 ) * remove redundant config * remove redundant dependency	2 years ago
binmakeswell	fd8f0ca5a8	[example] initialize tutorial (#1865 )	2 years ago
binmakeswell	e9635eb493	add explanation specified version	2 years ago
jiaruifang	27211d6267	[example] polish diffusion readme	2 years ago
binmakeswell	4ac7d3ec3b	[doc] polish diffusion README (#1840 )	2 years ago
Jiarui Fang	f86a703bcf	[NFC] update gitignore remove DS_Store (#1830 )	2 years ago
Jiarui Fang	a25f755331	[example] add TP to GPT example (#1828 )	2 years ago
Fazzie-Maqianli	6e9730d7ab	[example] add stable diffuser (#1825 )	2 years ago
Jiarui Fang	b1263d32ba	[example] simplify the GPT2 huggingface example (#1826 )	2 years ago
Jiarui Fang	cd5a0d56fa	[Gemini] make gemini usage simple (#1821 )	2 years ago
Maruyama_Aya	a7e8159da6	add ColoDiffusion codes: /ldm/module/, /ldm/data/, /scripts/test/	2 years ago
Jiarui Fang	350ccc0481	[example] opt does not depend on Titans (#1811 )	2 years ago
Jiarui Fang	203ca57aed	[example] add GPT	2 years ago
Jiarui Fang	fd2c8d8156	[example] add opt model in lauguage (#1809 )	2 years ago
Jiarui Fang	f5a92c288c	[example] add diffusion to example (#1805 )	2 years ago
Jiarui Fang	a19eb80998	[embedding] updates some default parameters	2 years ago
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Frank Lee	ca4ae52d6b	Set examples as submodule (#162 ) * remove examples folder * added examples as submodule * update .gitmodules	3 years ago
LuGY_mac	d143396cac	Added rand augment and update the dataloader	3 years ago
HELSON	1ff5be36c2	Added moe parallel example (#140 )	3 years ago
ver217	f03bcb359b	update vit example for new API (#98 ) (#99 )	3 years ago
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>	3 years ago
Xin Zhang	648f806315	add example of self-supervised SimCLR training - V2 (#50 ) * add example of self-supervised SimCLR training * simclr v2, replace nvidia dali dataloader * updated * sync to latest code writing style * sync to latest code writing style and modify README * detail README & standardize dataset path	3 years ago
Frank Lee	35813ed3c4	update examples and sphnix docs for the new api (#63 )	3 years ago
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>	3 years ago
ver217	eb2f8b1f6b	add how to build tfrecord dataset (#48 )	3 years ago
ver217	4da256a584	add some details in vit-b16 example (#46 )	3 years ago
ver217	e67dab92a9	add some details in vit-b16 example (#43 ) (#44 )	3 years ago
binmakeswell	2528adc62f	add explanation for ViT example (#35 ) (#36 )	3 years ago
ver217	dbe62c67b8	add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29 )	3 years ago
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>	3 years ago
zbian	404ecbdcc6	Migrated project	3 years ago

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247 Commits (152239bbfa6d5eca22633c9d73463ed8dcb300d7)