753 Commits (179558a87ab37096450223d8ee4c2b1a06a334a4)

Author	SHA1	Message	Date
Jiarui Fang	a590ed0ba3	[zero] improve the accuracy of get_memory_usage of sharded param (#538)	3 years ago
Jiarui Fang	37cb70feec	[zero] get memory usage for sharded param (#536)	3 years ago
LuGY	105c5301c3	[zero]added hybrid adam, removed loss scale in adam (#527) ... * [zero]added hybrid adam, removed loss scale of adam * remove useless code	3 years ago
Jiarui Fang	8d8c5407c0	[zero] refactor model data tracing (#522)	3 years ago
Frank Lee	3601b2bad0	[test] fixed rerun_on_exception and adapted test cases (#487)	3 years ago
Jiarui Fang	4d322b79da	[refactor] remove old zero code (#517)	3 years ago
LuGY	6a3f9fda83	[cuda] modify the fused adam, support hybrid of fp16 and fp32 (#497)	3 years ago
Jiarui Fang	920c5889a7	[zero] add colo move inline (#521)	3 years ago
Jiarui Fang	0bebda6ea5	[zero] fix init device bug in zero init context unittest (#516)	3 years ago
Jiarui Fang	7ef3507ace	[zero] show model data cuda memory usage after zero context init. (#515)	3 years ago
Jiarui Fang	9330be0f3c	[memory] set cuda mem frac (#506)	3 years ago
Jiarui Fang	0035b7be07	[memory] add model data tensor moving api (#503)	3 years ago
Jiarui Fang	a445e118cf	[polish] polish singleton and global context (#500)	3 years ago
ver217	9ec1ce6ab1	[zero] sharded model support the reuse of fp16 shard (#495) ... * sharded model supports reuse fp16 shard * rename variable * polish code * polish code * polish code	3 years ago
ver217	62b0a8d644	[zero] sharded optim support hybrid cpu adam (#486) ... * sharded optim support hybrid cpu adam * update unit test * polish docstring	3 years ago
Jiarui Fang	b334822163	[zero] polish sharded param name (#484) ... * [zero] polish sharded param name * polish code * polish * polish code * polish * polsih * polish	3 years ago
Jiarui Fang	65c0f380c2	[format] polish name format for MOE (#481)	3 years ago
HELSON	7544347145	[MOE] add unitest for MOE experts layout, gradient handler and kernel (#469)	3 years ago
HELSON	84fd7c1d4d	add moe context, moe utilities and refactor gradient handler (#455)	3 years ago
Frank Lee	af185b5519	[test] fixed amp convergence comparison test (#454)	3 years ago
ver217	a241f61b34	[zero] Update initialize for ZeRO (#458) ... * polish code * shard strategy receive pg in shard() / gather() * update zero engine * polish code	3 years ago
ver217	642846d6f9	update sharded optim and fix zero init ctx (#457)	3 years ago
Jiarui Fang	e2e9f82588	Revert "[zero] update sharded optim and fix zero init ctx" (#456) ... * Revert "polish code" This reverts commit 8cf7ff08cf. * Revert "rename variables" This reverts commit e99af94ab8. * Revert "remove surplus imports" This reverts commit 46add4a5c5. * Revert "update sharded optim and fix zero init ctx" This reverts commit 57567ee768.	3 years ago
ver217	8cf7ff08cf	polish code	3 years ago
ver217	46add4a5c5	remove surplus imports	3 years ago
ver217	57567ee768	update sharded optim and fix zero init ctx	3 years ago
Frank Lee	f27d801a13	[test] optimized zero data parallel test (#452)	3 years ago
Jiarui Fang	0fcfb1e00d	[test] make zero engine test really work (#447)	3 years ago
Frank Lee	bb2790cf0b	optimize engine and trainer test (#448)	3 years ago
Frank Lee	b72b8445c6	optimized context test time consumption (#446)	3 years ago
Jiarui Fang	496cbb0760	[hotfix] fix initialize bug with zero (#442)	3 years ago
Jiarui Fang	17b8274f8a	[unitest] polish zero config in unittest (#438)	3 years ago
Jiarui Fang	640a6cd304	[refactory] refactory the initialize method for new zero design (#431)	3 years ago
ver217	fce9432f08	sync before creating empty grad	3 years ago
Jiarui Fang	f9c762df85	[test] merge zero optim tests (#428)	3 years ago
Jiarui Fang	5d7dc3525b	[hotfix] run cpu adam unittest in pytest (#424)	3 years ago
Jiarui Fang	adebb3e041	[zero] cuda margin space for OS (#418)	3 years ago
Jiarui Fang	56bb412e72	[polish] use GLOBAL_MODEL_DATA_TRACER (#417)	3 years ago
Jiarui Fang	23ba3fc450	[zero] refactory ShardedOptimV2 init method (#416)	3 years ago
Frank Lee	e79ea44247	[fp16] refactored fp16 optimizer (#392)	3 years ago
Jiarui Fang	21dc54e019	[zero] memtracer to record cuda memory usage of model data and overall system (#395)	3 years ago
Jiarui Fang	a37bf1bc42	[hotfix] rm test_tensor_detector.py (#413)	3 years ago
Jiarui Fang	370f567e7d	[zero] new interface for ShardedOptimv2 (#406)	3 years ago
LuGY	a9c27be42e	Added tensor detector (#393) ... * Added tensor detector * Added the - states * Allowed change include_cpu when detect()	3 years ago
ver217	54fd37f0e0	polish unit test	3 years ago
Frank Lee	1e4bf85cdb	fixed bug in activation checkpointing test (#387)	3 years ago
Jiarui Fang	3af13a2c3e	[zero] polish ShardedOptimV2 unittest (#385) ... * place params on cpu after zero init context * polish code * bucketzed cpu gpu tensor transter * find a bug in sharded optim unittest * add offload unittest for ShardedOptimV2. * polish code and make it more robust	3 years ago
Frank Lee	526a318032	[unit test] Refactored test cases with component func (#339) ... * refactored test with component func * fixed bug	3 years ago
LuGY	de46450461	Added activation offload (#331) ... * Added activation offload * Fixed the import bug, used the pytest	3 years ago
Jiarui Fang	b5f43acee3	[zero] find miss code (#378)	3 years ago
Jiarui Fang	6b6002962a	[zero] zero init context collect numel of model (#375)	3 years ago
jiaruifang	d9217e1960	Revert "[zero] bucketized tensor cpu gpu copy (#368)" ... This reverts commit bef05489b6.	3 years ago
Jiarui Fang	00670c870e	[zero] bucketized tensor cpu gpu copy (#368)	3 years ago
Jiarui Fang	44e4891f57	[zero] able to place params on cpu after zero init context (#365) ... * place params on cpu after zero init context * polish code	3 years ago
Jiarui Fang	ea2872073f	[zero] global model data memory tracer (#360)	3 years ago
Jiarui Fang	cb34cd384d	[test] polish zero related unitest (#351)	3 years ago
ver217	532ae79cb0	add test sharded optim with cpu adam (#347)	3 years ago
HELSON	425bb0df3f	Added Profiler Context to manage all profilers (#340)	3 years ago
ver217	d0ae0f2215	[zero] update sharded optim v2 (#334)	3 years ago
ver217	2b8cddd40e	skip bert in test engine	3 years ago
ver217	f5f0ad266e	fix bert unit test	3 years ago
jiaruifang	d271f2596b	polish engine unitest	3 years ago
jiaruifang	354c0f9047	polish code	3 years ago
jiaruifang	4d94cd513e	adapting bert unitest interface	3 years ago
jiaruifang	7977422aeb	add bert for unitest and sharded model is not able to pass the bert case	3 years ago
ver217	1388671699	[zero] Update sharded model v2 using sharded param v2 (#323)	3 years ago
jiaruifang	799d105bb4	using pytest parametrize	3 years ago
jiaruifang	dec24561cf	show pytest parameterize	3 years ago
Jiarui Fang	11bddb6e55	[zero] update zero context init with the updated test utils (#327)	3 years ago
Frank Lee	6268446b81	[test] refactored testing components (#324)	3 years ago
Jiarui Fang	de0468c7a8	[zero] zero init context (#321) ... * add zero init context * add more flags for zero init context fix bug of repeated converting param to ShardedParamV2 * polish code	3 years ago
1SAA	73bff11288	Added profiler communication operations ... Fixed bug for learning rate scheduler	3 years ago
LuGY	a3269de5c9	[zero] cpu adam kernel (#288) ... * Added CPU Adam * finished the cpu adam * updated the license * delete useless parameters, removed resnet * modified the method off cpu adam unittest * deleted some useless codes * removed useless codes Co-authored-by: ver217 <lhx0217@gmail.com> Co-authored-by: Frank Lee <somerlee.9@gmail.com> Co-authored-by: jiaruifang <fangjiarui123@gmail.com>	3 years ago
Jiarui Fang	90d3aef62c	[zero] yet an improved sharded param (#311)	3 years ago
Jiarui Fang	c9e7d9582d	[zero] polish shard strategy (#310) ... * init shard param from shape tuple * add more unitest for shard param * add set_payload method for ShardedParam * [zero] add shareded tensor class * polish code * add shard stratgy * move shard and gather logic to shard strategy from shard tensor. * polish code	3 years ago
ver217	36f9a74ab2	fix sharded param hook and unit test	3 years ago
ver217	001ca624dd	impl shard optim v2 and add unit test	3 years ago
Jiarui Fang	74f77e314b	[zero] a shard strategy in granularity of tensor (#307)	3 years ago
Jiarui Fang	80364c7686	[zero] sharded tensor (#305) ... * init shard param from shape tuple * add more unitest for shard param * add set_payload method for ShardedParam * [zero] add shareded tensor class * polish code	3 years ago
Jie Zhu	d344689274	[profiler] primary memory tracer	3 years ago
Jiarui Fang	e17e92c54d	Polish sharded parameter (#297) ... * init shard param from shape tuple * add more unitest for shard param * add more unittests to shareded param	3 years ago
ver217	7aef75ca42	[zero] add sharded grad and refactor grad hooks for ShardedModel (#287)	3 years ago
Frank Lee	27155b8513	added unit test for sharded optimizer (#293) ... * added unit test for sharded optimizer * refactor for elegance	3 years ago
Frank Lee	e17e54e32a	added buffer sync to naive amp model wrapper (#291)	3 years ago
Jiarui Fang	8d653af408	add a common util for hooks registered on parameter. (#292)	3 years ago
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>	3 years ago
1SAA	82023779bb	Added TPExpert for special situation	3 years ago
1SAA	219df6e685	Optimized MoE layer and fixed some bugs; ... Decreased moe tests; Added FFNExperts and ViTMoE model	3 years ago
zbian	3dba070580	fixed padding index issue for vocab parallel embedding layers; updated 3D linear to be compatible with examples in the tutorial	3 years ago
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	3 years ago
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.	3 years ago
Frank Lee	e2089c5c15	adapted for sequence parallel (#163)	3 years ago
ver217	7bf1e98b97	pipeline last stage supports multi output (#151)	3 years ago
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>	3 years ago
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>	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
ver217	8f02a88db2	add interleaved pipeline, fix naive amp and update pipeline model initializer (#80)	3 years ago
Frank Lee	91c327cb44	fixed zero level 3 dtype bug (#76)	3 years ago
Frank Lee	cd9c28e055	added CI for unit testing (#69)	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
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
アマデウス	3245a69fc2	cleaned test scripts	3 years ago
zbian	404ecbdcc6	Migrated project	3 years ago