208 Commits (26b7aac0be10fb83692e197ca326f8b67c1c990b)

Author	SHA1	Message	Date
ver217	715b86eadd	[hotfix] fix stm cuda model data size (#710)	3 years ago
HELSON	a9b8300d54	[zero] improve adaptability for not-shard parameters (#708) ... * adapt post grad hooks for not-shard parameters * adapt optimizer for not-shard parameters * offload gradients for not-replicated parameters	3 years ago
ver217	ab8c6b4a0e	[zero] refactor memstats collector (#706) ... * refactor memstats collector * fix disposable * polish code	3 years ago
HELSON	ee112fe1da	[zero] adapt zero hooks for unsharded module (#699)	3 years ago
ver217	3c9cd5bb5e	[zero] stateful tensor manager (#687) ... * [WIP] stateful tensor manager * add eviction strategy * polish code * polish code * polish comment * add unit test * fix sampler bug * polish code * fix max sampling cnt resetting bug * fix sampler bug * polish code * fix bug * fix unit test Co-authored-by: jiaruifang <fangjiarui123@gmail.com>	3 years ago
HELSON	d7ecaf362b	[zero] fix init bugs in zero context (#686) ... * adapt model weight initialization for methods in Pytorch nn.init	3 years ago
Jiarui Fang	59bf2dc590	[zero] initialize a stateful tensor manager (#614)	3 years ago
HELSON	17e73e62cc	[hotfix] fix bugs for unsharded parameters when restore data (#664)	3 years ago
Jiarui Fang	0aab52301e	[hotfix] fix a bug in model data stats tracing (#655)	3 years ago
Jiarui Fang	036404ca8a	Revert "[zero] polish init context (#645)" (#657)	3 years ago
Jiarui Fang	67b4928244	[zero] polish init context (#645)	3 years ago
HELSON	055fbf5be6	[zero] adapt zero for unsharded paramters (Optimizer part) (#601)	3 years ago
ver217	0ef8819c67	polish docstring of zero (#612)	3 years ago
ver217	9bee119104	[hotfix] fix sharded optim zero grad (#604) ... * fix sharded optim zero grad * polish comments	3 years ago
Jiarui Fang	e956d93ac2	[refactor] memory utils (#577)	3 years ago
HELSON	e6d50ec107	[zero] adapt zero for unsharded parameters (#561) ... * support existing sharded and unsharded parameters in zero * add unitest for moe-zero model init * polish moe gradient handler	3 years ago
ver217	7c6c427db1	[zero] trace states of fp16/32 grad and fp32 param (#571)	3 years ago
Jiarui Fang	7675366fce	[polish] rename col_attr -> colo_attr (#558)	3 years ago
ver217	014bac0c49	[zero] hijack p.grad in sharded model (#554) ... * hijack p.grad in sharded model * polish comments * polish comments	3 years ago
Jiarui Fang	f552b11294	[zero] label state for param fp16 and grad (#551)	3 years ago
Jiarui Fang	214da761d4	[zero] add stateful tensor (#549)	3 years ago
Jiarui Fang	107b99ddb1	[zero] dump memory stats for sharded model (#548)	3 years ago
HELSON	8c90d4df54	[zero] add zero context manager to change config during initialization (#546)	3 years ago
Jiarui Fang	53b1b6e340	[zero] non model data tracing (#545)	3 years ago
ver217	fb841dd5c5	[zero] optimize grad offload (#539) ... * optimize grad offload * polish code * polish code	3 years ago
ver217	1f90a3b129	[zero] polish ZeroInitContext (#540)	3 years ago
Jiarui Fang	c11ff81b15	[zero] get memory usage of sharded optim v2. (#542)	3 years ago
HELSON	a30e2b4c24	[zero] adapt for no-leaf module in zero (#535) ... only process module's own parameters in Zero context add zero hooks for all modules that contrain parameters gather parameters only belonging to module itself	3 years ago
Jiarui Fang	705f56107c	[zero] refactor model data tracing (#537)	3 years ago
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
Jiarui Fang	05e33b2578	[zero] fix grad offload (#528) ... * [zero] fix grad offload * polish code	3 years ago
Jiarui Fang	8d8c5407c0	[zero] refactor model data tracing (#522)	3 years ago
Jiarui Fang	4d322b79da	[refactor] remove old zero code (#517)	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
ver217	a2e61d61d4	[zero] zero init ctx enable rm_torch_payload_on_the_fly (#512) ... * enable rm_torch_payload_on_the_fly * polish docstr	3 years ago
Jiarui Fang	bca0c49a9d	[zero] use colo model data api in optimv2 (#511)	3 years ago
Jiarui Fang	0035b7be07	[memory] add model data tensor moving api (#503)	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	c4c02424f3	[zero] sharded model manages ophooks individually (#492)	3 years ago
ver217	a9ecb4b244	[zero] polish sharded optimizer v2 (#490)	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
ver217	8d3250d74b	[zero] ZeRO supports pipeline parallel (#477)	3 years ago
ver217	3cb3fc275e	zero init ctx receives a dp process group (#471)	3 years ago
ver217	fc8e6db005	[doc] Update docstring for ZeRO (#459) ... * polish sharded model docstr * polish sharded optim docstr * polish zero docstr * polish shard strategy docstr	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	e99af94ab8	rename variables	3 years ago
ver217	57567ee768	update sharded optim and fix zero init ctx	3 years ago
Jiarui Fang	0fcfb1e00d	[test] make zero engine test really work (#447)	3 years ago
Jiarui Fang	237d08e7ee	[zero] hybrid cpu adam (#445)	3 years ago
Jiarui Fang	496cbb0760	[hotfix] fix initialize bug with zero (#442)	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
ver217	ea6905a898	free param.grad	3 years ago
ver217	9506a8beb2	use double buffer to handle grad	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	370f567e7d	[zero] new interface for ShardedOptimv2 (#406)	3 years ago
ver217	63469c0f91	polish code	3 years ago
ver217	88804aee49	add bucket tensor shard strategy	3 years ago
HELSON	7c079d9c33	[hotfix] fixed bugs in ShardStrategy and PcieProfiler (#394)	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
Jiarui Fang	272ebfb57d	[bug] shard param during initializing the ShardedModelV2 (#381)	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
ver217	253e54d98a	fix grad shape	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	d0ae0f2215	[zero] update sharded optim v2 (#334)	3 years ago
jiaruifang	5663616921	polish code	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
Jiarui Fang	11bddb6e55	[zero] update zero context init with the updated test utils (#327)	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
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	3092317b80	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
ver217	b105371ace	rename shared adam to sharded optim v2	3 years ago
ver217	70814dc22f	fix master params dtype	3 years ago
ver217	795210dd99	add fp32 master params in sharded adam	3 years ago
ver217	a109225bc2	add sharded adam	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	9afb5c8b2d	fixed typo in ShardParam (#294)	3 years ago
Frank Lee	e17e54e32a	added buffer sync to naive amp model wrapper (#291)	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
HELSON	0f8c7f9804	Fixed docstring in colossalai (#171)	3 years ago
ver217	9ef05ed1fc	try import deepspeed when using zero (#130)	3 years ago
Frank Lee	91c327cb44	fixed zero level 3 dtype bug (#76)	3 years ago
Frank Lee	35813ed3c4	update examples and sphnix docs for the new api (#63)	3 years ago
ver217	7d3711058f	fix zero3 fp16 and add zero3 model context (#62)	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