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408 Commits (ae71036cd2210b6e60805357f4bd059674e316bc)

Author SHA1 Message Date
ver217 8e3d0ad8f1
[unit test] refactor test tensor (#1005) 
* polish test_gpt

* update op unit tests

* update test model
 2022-05-19 18:57:56 +08:00
ver217 ad536e308e
[tensor] refactor colo-tensor (#992) 
* refactor colo-tensor and update linear op

* polish code

* polish code

* update ops and unit tests

* update unit tests

* polish code

* rename dist_spec module

* polish code

* polish code

* remove unneeded import

* fix pipelinable
 2022-05-19 12:44:59 +08:00
ver217 c2fdc6a011
[tensor] derive compute pattern from dist spec (#971) 
* derive compute pattern from dist spec

* polish code
 2022-05-16 14:58:08 +08:00
Ziyue Jiang 797a9dc5a9
add DistSpec for loss and test_model (#947) 2022-05-13 20:29:50 +08:00
ver217 67c33f57eb
[tensor] design DistSpec and DistSpecManager for ColoTensor (#934) 
* add dist spec

* update linear op

* polish code

* polish code

* update embedding op

* polish unit tests

* polish unit tests

* polish comments

* polish code

* add test_dist_spec_mgr

* polish code

* refactor folder structure

* polish unit tests

* add get_process_group() for TensorSpec

* polish code
 2022-05-13 15:13:52 +08:00
Ziyue Jiang 830d3bca26
[Tensor] add optimizer to bert test (#933) 
* add optimizer to bert test

* polish
 2022-05-13 11:37:23 +08:00
Ziyue Jiang d73c2b1d79
[Tensor] fix init context (#931) 
* change torch.Parameter to ColoParameter

* fix post assignment for init context

* polish

* polish
 2022-05-11 15:48:12 +08:00
Ziyue Jiang dfc88b85ea
[Tensor] simplify named param (#928) 
* simplify ColoModulize

* simplify ColoModulize

* polish

* polish
 2022-05-11 10:54:19 +08:00
ver217 45b9124df4
[tensor] hijack addmm for colo tensor (#923) 
* hijack addmm for colo tensor

* fix bugs

* polish unit test

* polish comments
 2022-05-09 18:55:49 +08:00
Jiarui Fang 534afb018a
test pretrain loading on multi-process (#922) 2022-05-09 17:07:35 +08:00
Ziyue Jiang c195d2814c
[Tensor] add from_pretrained support and bert pretrained test (#921) 
* add from_pretrained support and test

* polish

* polish

* polish

* polish
 2022-05-09 16:11:47 +08:00
Jiarui Fang 845856ea29
[Graph] building computing graph with ColoTensor, Linear only (#917) 2022-05-07 17:10:37 +08:00
Ziyue Jiang 75d221918a
[Tensor] add 1d vocab loss (#918) 
* add 1d vocab loss

* polish
 2022-05-07 15:49:14 +08:00
Ziyue Jiang dfaff4e243
[Tensor] fix test_model (#916) 
* polish test_model

* polish
 2022-05-06 18:06:22 +08:00
Jiarui Fang ed6426c300
[Tensor] polish model test (#915) 2022-05-06 17:07:56 +08:00
Ziyue Jiang 0fab86b12a
[Tensor] add a basic bert. (#911) 
* add base bert test

* Add bert test

* polish

* remove test_bert

* polish
 2022-05-06 15:03:43 +08:00
Jiarui Fang ab95ec9aea
[Tensor] init ColoParameter (#914) 2022-05-06 12:57:14 +08:00
Ziyue Jiang 193d629311
update pytest.mark.parametrize in tensor tests (#913) 2022-05-06 11:16:40 +08:00
Ziyue Jiang f593a5637e
[Tensor] add embedding tp1d row (#904) 2022-04-29 14:10:05 +08:00
Ziyue Jiang 2c0d19d755
[Tensor] add ColoTensor TP1Dcol Embedding (#899) 2022-04-28 17:45:06 +08:00
Jiarui Fang d16671da75
[Tensor] initialize the ColoOptimizer (#898) 
* [Tensor] activation is an attr of ColoTensor

* [Tensor] add optimizer

* only detach parameters in context

* polish code
 2022-04-28 15:23:40 +08:00
Jiarui Fang e76f76c08b
[Tensor] test parameters() as member function (#896) 2022-04-28 10:57:14 +08:00
Ziyue Jiang cb182da7c5
[tensor] refine linear and add gather for laynorm (#893) 
* refine linear and add function to ColoTensor

* add gather for layernorm

* polish

* polish
 2022-04-28 10:55:40 +08:00
Jiarui Fang 26c49639d8
[Tensor] overriding paramters() for Module using ColoTensor (#889) 2022-04-27 15:28:59 +08:00
Ziyue Jiang 1d0aba4153
[tensor] add ColoTensor 1Dcol (#888) 2022-04-27 14:13:55 +08:00
Jiarui Fang a0e5971692
[Tensor] test model check results for a simple net (#887) 2022-04-27 12:00:18 +08:00
Jiarui Fang 72cdc06875
[Tensor] make ColoTensor more robust for getattr (#886) 
* [Tensor] make ColoTensor more robust for getattr

* polish

* polish
 2022-04-27 10:57:49 +08:00
Ziyue Jiang 9bc5a77c31
[tensor] wrap function in the torch_tensor to ColoTensor (#881) 2022-04-26 20:13:56 +08:00
Jiarui Fang 7f76517a85
[Tensor] make a simple net works with 1D row TP (#879) 2022-04-26 18:11:47 +08:00
ver217 c4d903e64a
[gemini] accelerate adjust_layout() (#878) 
* add lru cache

* polish code

* update unit test

* fix sharded optim
 2022-04-26 18:08:31 +08:00
Jiarui Fang 909211453b
[Tensor] Add some attributes to ColoTensor (#877) 
* [Tensor] add some function to ColoTensor

* torch.allclose

* rm torch.add
 2022-04-26 15:10:47 +08:00
Jiarui Fang e43f83aa5c
[Tensor] get named parameters for model using ColoTensors (#874) 2022-04-26 14:08:01 +08:00
Jiarui Fang 96211c2cc8
[tensor] customized op returns ColoTensor (#875) 
* [tensor] customized op returns ColoTensor

* polish

* polish code
 2022-04-26 13:23:59 +08:00
Ziyue Jiang 26d4ab8b03
[Tensor] Add function to spec and update linear 1Drow and unit tests (#869) 2022-04-26 10:15:26 +08:00
Jiarui Fang 1190b2c4a4
[tensor] add cross_entrophy_loss (#868) 2022-04-25 16:01:52 +08:00
HELSON 3107817172
[gemini] add stateful tensor container (#867) 2022-04-25 14:58:16 +08:00
Jiarui Fang d01d3b8cb0
colo init context add device attr. (#866) 2022-04-25 14:24:26 +08:00
Jiarui Fang 126ba573a8
[Tensor] add layer norm Op (#852) 2022-04-25 11:49:20 +08:00
Frank Lee 1258af71cc
[ci] cache cuda extension (#860) 2022-04-25 10:03:47 +08:00
Ziyue Jiang bcc8655021
[Tensor ] Add 1Drow weight reshard by spec (#854) 2022-04-24 18:30:20 +08:00
Jiarui Fang 62f059251b
[Tensor] init a tp network training unittest (#849) 2022-04-24 16:43:44 +08:00
Ziyue Jiang 2a0a427e04
[tensor]add assert for colo_tensor 1Drow (#846) 2022-04-24 14:12:45 +08:00
Ziyue Jiang 05023ecfee
[Tensor] TP Linear 1D row (#843) 2022-04-24 13:43:12 +08:00
HELSON e5ea3fdeef
[gemini] add GeminiMemoryManger (#832) 
* refactor StatefulTensor, tensor utilities

* add unitest for GeminiMemoryManager
 2022-04-24 13:08:48 +08:00
YuliangLiu0306 35ea6e1023
[pipelinable]use pipelinable context to initialize non-pipeline model (#816) 
* [CLI] add CLI launcher

* Revert "[CLI] add CLI launcher"

This reverts commit df7e6506d4.

* [pipeline]add module lazy init feature to support large model initization.

* [pipeline]add to_layer_list and partition method to support arbitrary non-pp model

* refactor the module structure

* polish

* [pipelinable]add unit test for pipelinable

* polish

* polish

* Fix CodeFactor issues.
 2022-04-24 13:03:12 +08:00
Jiarui Fang ea0a2ed25f
[hotfix] the bug of numel() in ColoTensor (#845) 2022-04-24 12:32:10 +08:00
Jiarui Fang 8789850eea
Init Conext supports lazy allocate model memory (#842) 2022-04-22 18:03:35 +08:00
Frank Lee 943982d29a
[unittest] refactored unit tests for change in dependency (#838) 2022-04-22 15:39:07 +08:00
Frank Lee 01e9f834f5
[dependency] removed torchvision (#833) 
* [dependency] removed torchvision

* fixed transforms
 2022-04-22 15:24:35 +08:00
Jiarui Fang cb5a4778e1
Revert "[WIP] Applying ColoTensor on TP-1D-row Linear. (#831)" (#835) 
This reverts commit ac88de6dfc.
 2022-04-22 14:45:57 +08:00
Jiarui Fang ac88de6dfc
[WIP] Applying ColoTensor on TP-1D-row Linear. (#831) 
* revert zero tensors back

* [tensor] init row 1d linear
 2022-04-22 14:03:26 +08:00
Jiarui Fang 294a6060d0
[tensor] ZeRO use ColoTensor as the base class. (#828) 
* [refactor] moving InsertPostInitMethodToModuleSubClasses to utils.

* [tensor] ZeRO use ColoTensor as the base class.

* polish
 2022-04-22 12:00:48 +08:00
Ziyue Jiang 8e6fdb4f29
[tensor]fix test_linear (#826) 2022-04-21 17:18:56 +08:00
Ziyue Jiang 1a9e2c2dff
[tensor] fix kwargs in colo_tensor torch_funtion (#825) 2022-04-21 16:47:35 +08:00
Jiarui Fang 2ecc3d7a55
[tensor] lazy init (#823) 2022-04-21 15:40:23 +08:00
Jiarui Fang 660d2d1f1b
[Tensor] apply ColoTensor on Torch functions (#821) 
* Revert "[zero] add ZeroTensorShardStrategy (#793)"

This reverts commit 88759e289e.

* [gemini] set cpu memory capacity

* [log] local throughput collecting

* polish

* polish

* polish

* polish code

* polish

* polish code

* add a new tensor structure and override linear for it

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* [tensor] renaming and reorganize directory structure.

* rm useless dir

* polish

* polish

* [tensor] hander the function not wrapped
 2022-04-21 14:21:10 +08:00
Jiarui Fang 0ce8924ceb
[tensor] reorganize files (#820) 2022-04-21 14:15:48 +08:00
Jiarui Fang ab962b9735
[gemini] a new tensor structure (#818) 
* Revert "[zero] add ZeroTensorShardStrategy (#793)"

This reverts commit 88759e289e.

* [gemini] set cpu memory capacity

* [log] local throughput collecting

* polish

* polish

* polish

* polish code

* polish

* polish code

* add a new tensor structure and override linear for it

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish
 2022-04-21 11:42:37 +08:00
Jiarui Fang e761ad2cd7
Revert "[zero] add ZeroTensorShardStrategy (#793)" (#806) 2022-04-19 14:40:02 +08:00
HELSON 88759e289e
[zero] add ZeroTensorShardStrategy (#793) 2022-04-19 14:32:45 +08:00
Jiarui Fang 681addb512
[refactor] moving grad acc logic to engine (#804) 2022-04-19 14:03:21 +08:00
Jiarui Fang 4d9332b4c5
[refactor] moving memtracer to gemini (#801) 2022-04-19 10:13:08 +08:00
HELSON 4c4388c46e
[hotfix] fix memory leak in zero (#781) 2022-04-18 13:57:03 +08:00
Frank Lee 5a1a095b92
[test] refactored with the new rerun decorator (#763) 
* [test] refactored with the new rerun decorator

* polish test case
 2022-04-15 00:33:04 +08:00
Jiarui Fang 10ef8afdd2
[gemini] init genimi individual directory (#754) 2022-04-14 16:40:26 +08:00
ver217 dcca614eee
[hotfix] fix test_stateful_tensor_mgr (#762) 2022-04-14 15:50:09 +08:00
ver217 a93a7d7364
[hotfix] fix reuse_fp16_shard of sharded model (#756) 
* fix reuse_fp16_shard

* disable test stm

* polish code
 2022-04-14 14:56:46 +08:00
HELSON 84c6700b2a
[zero] refactor memstats_collector (#746) 2022-04-14 12:01:12 +08:00
ver217 e396bb71f2
[zero] add tensor placement policies (#743) 
* add tensor placement policies

* polish comments

* polish comments

* update moe unit tests
 2022-04-13 15:00:48 +08:00
HELSON 22c4b88d56
[zero] refactor ShardedParamV2 for convenience (#742) 2022-04-13 14:54:26 +08:00
Frank Lee f4f42d4c3c
[bug] fixed DDP compatibility with torch 1.8 (#739) 2022-04-13 00:08:46 +08:00
Jiarui Fang 53cb584808
[utils] correct cpu memory used and capacity in the context of multi-process (#726) 2022-04-12 14:57:54 +08:00
HELSON b9b469ea50
[moe] add checkpoint for moe zero test (#729) 2022-04-12 12:11:54 +08:00
FrankLeeeee e88a498c9c [test] removed trivial outdated test 2022-04-12 11:08:15 +08:00
FrankLeeeee 62b4ce7326 [test] added missing decorators to model checkpointing tests 2022-04-12 11:08:15 +08:00
Jiarui Fang 4d90a7b513
[refactor] zero directory (#724) 2022-04-11 23:13:02 +08:00
Frank Lee 20ab1f5520
[bug] fixed broken test_found_inf (#725) 2022-04-11 22:00:27 +08:00
Jiarui Fang 193dc8dacb
[refactor] refactor the memory utils (#715) 2022-04-11 16:47:57 +08:00
HELSON dbd96fe90a
[zero] check whether gradients have inf and nan in gpu (#712) 2022-04-11 15:40:13 +08:00
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
 2022-04-11 13:38:51 +08:00
ver217 ab8c6b4a0e
[zero] refactor memstats collector (#706) 
* refactor memstats collector

* fix disposable

* polish code
 2022-04-11 10:46:08 +08:00
HELSON ee112fe1da
[zero] adapt zero hooks for unsharded module (#699) 2022-04-08 20:23:26 +08:00
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>
 2022-04-08 17:51:34 +08:00
HELSON d7ecaf362b
[zero] fix init bugs in zero context (#686) 
* adapt model weight initialization for methods in Pytorch nn.init
 2022-04-07 17:38:45 +08:00
Jiarui Fang 0aab52301e
[hotfix] fix a bug in model data stats tracing (#655) 2022-04-03 21:48:06 +08:00
YuliangLiu0306 ade05a5d83
[refactor] pipeline, put runtime schedule into engine. (#627) 2022-04-03 20:46:45 +08:00
HELSON e5d615aeee
[hotfix] fix bugs in testing (#659) 
* remove hybrid adam in test_moe_zero_optim

* fix activation checkpointing and its unitest
 2022-04-02 21:58:47 +08:00
HELSON b31daed4cf
fix bugs in CPU adam (#633) 
* add cpu adam counter for all cpu adam

* fixed updating error in adam kernel
 2022-04-02 17:04:05 +08:00
HELSON 055fbf5be6
[zero] adapt zero for unsharded paramters (Optimizer part) (#601) 2022-04-01 20:10:47 +08:00
アマデウス 354b7954d1
[model checkpoint] added unit tests for checkpoint save/load (#599) 2022-04-01 16:53:32 +08:00
FredHuang99 93f14d2a33
[zero] test zero tensor utils (#609) 2022-04-01 15:16:59 +08:00
Jiarui Fang e956d93ac2
[refactor] memory utils (#577) 2022-04-01 09:22:33 +08:00
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
 2022-03-31 18:34:11 +08:00
ver217 7c6c427db1
[zero] trace states of fp16/32 grad and fp32 param (#571) 2022-03-31 16:26:54 +08:00
Jiarui Fang 7675366fce
[polish] rename col_attr -> colo_attr (#558) 2022-03-31 12:25:45 +08:00
ver217 014bac0c49
[zero] hijack p.grad in sharded model (#554) 
* hijack p.grad in sharded model

* polish comments

* polish comments
 2022-03-30 18:14:50 +08:00
Jiarui Fang f552b11294
[zero] label state for param fp16 and grad (#551) 2022-03-30 15:57:46 +08:00
Jiarui Fang 214da761d4
[zero] add stateful tensor (#549) 2022-03-30 13:51:37 +08:00
HELSON 8c90d4df54
[zero] add zero context manager to change config during initialization (#546) 2022-03-29 17:57:59 +08:00
Liang Bowen ec5086c49c Refactored docstring to google style 2022-03-29 17:17:47 +08:00
Jiarui Fang 53b1b6e340
[zero] non model data tracing (#545) 2022-03-29 15:45:48 +08:00
ver217 1f90a3b129
[zero] polish ZeroInitContext (#540) 2022-03-29 09:09:04 +08:00
Jiarui Fang c11ff81b15
[zero] get memory usage of sharded optim v2. (#542) 2022-03-29 09:08:18 +08:00
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
 2022-03-28 17:42:18 +08:00
Jiarui Fang 705f56107c
[zero] refactor model data tracing (#537) 2022-03-28 16:38:18 +08:00
Jiarui Fang a590ed0ba3
[zero] improve the accuracy of get_memory_usage of sharded param (#538) 2022-03-28 16:19:19 +08:00
Jiarui Fang 37cb70feec
[zero] get memory usage for sharded param (#536) 2022-03-28 15:01:21 +08:00
LuGY 105c5301c3
[zero]added hybrid adam, removed loss scale in adam (#527) 
* [zero]added hybrid adam, removed loss scale of adam

* remove useless code
 2022-03-25 18:03:54 +08:00
Jiarui Fang 8d8c5407c0
[zero] refactor model data tracing (#522) 2022-03-25 18:03:32 +08:00
Frank Lee 3601b2bad0
[test] fixed rerun_on_exception and adapted test cases (#487) 2022-03-25 17:25:12 +08:00
Jiarui Fang 4d322b79da
[refactor] remove old zero code (#517) 2022-03-25 14:54:39 +08:00
LuGY 6a3f9fda83
[cuda] modify the fused adam, support hybrid of fp16 and fp32 (#497) 2022-03-25 14:15:53 +08:00
Jiarui Fang 920c5889a7
[zero] add colo move inline (#521) 2022-03-25 14:02:55 +08:00
Jiarui Fang 0bebda6ea5
[zero] fix init device bug in zero init context unittest (#516) 2022-03-25 12:24:18 +08:00
Jiarui Fang 7ef3507ace
[zero] show model data cuda memory usage after zero context init. (#515) 2022-03-25 11:23:35 +08:00
Jiarui Fang 9330be0f3c
[memory] set cuda mem frac (#506) 2022-03-24 16:57:13 +08:00
Jiarui Fang 0035b7be07
[memory] add model data tensor moving api (#503) 2022-03-24 14:29:41 +08:00
Jiarui Fang a445e118cf
[polish] polish singleton and global context (#500) 2022-03-23 18:03:39 +08:00
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
 2022-03-23 14:59:59 +08:00
ver217 62b0a8d644
[zero] sharded optim support hybrid cpu adam (#486) 
* sharded optim support hybrid cpu adam

* update unit test

* polish docstring
 2022-03-22 14:56:59 +08:00
Jiarui Fang b334822163
[zero] polish sharded param name (#484) 
* [zero] polish sharded param name

* polish code

* polish

* polish code

* polish

* polsih

* polish
 2022-03-22 14:36:16 +08:00
Jiarui Fang 65c0f380c2
[format] polish name format for MOE (#481) 2022-03-21 23:19:47 +08:00
HELSON 7544347145
[MOE] add unitest for MOE experts layout, gradient handler and kernel (#469) 2022-03-21 13:35:04 +08:00
HELSON 84fd7c1d4d
add moe context, moe utilities and refactor gradient handler (#455) 2022-03-18 16:38:32 +08:00
Frank Lee af185b5519
[test] fixed amp convergence comparison test (#454) 2022-03-18 16:28:16 +08:00
ver217 a241f61b34
[zero] Update initialize for ZeRO (#458) 
* polish code

* shard strategy receive pg in shard() / gather()

* update zero engine

* polish code
 2022-03-18 16:18:31 +08:00
ver217 642846d6f9
update sharded optim and fix zero init ctx (#457) 2022-03-18 15:44:47 +08:00
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.
 2022-03-18 15:22:43 +08:00
ver217 8cf7ff08cf polish code 2022-03-18 14:25:25 +08:00
ver217 46add4a5c5 remove surplus imports 2022-03-18 14:25:25 +08:00
ver217 57567ee768 update sharded optim and fix zero init ctx 2022-03-18 14:25:25 +08:00
Frank Lee f27d801a13
[test] optimized zero data parallel test (#452) 2022-03-18 11:35:54 +08:00
Jiarui Fang 0fcfb1e00d
[test] make zero engine test really work (#447) 2022-03-17 17:24:25 +08:00
Frank Lee bb2790cf0b
optimize engine and trainer test (#448) 2022-03-17 15:44:17 +08:00
Frank Lee b72b8445c6
optimized context test time consumption (#446) 2022-03-17 14:40:52 +08:00
Jiarui Fang 496cbb0760
[hotfix] fix initialize bug with zero (#442) 2022-03-17 13:16:22 +08:00
Jiarui Fang 17b8274f8a
[unitest] polish zero config in unittest (#438) 2022-03-17 10:20:53 +08:00
Jiarui Fang 640a6cd304
[refactory] refactory the initialize method for new zero design (#431) 2022-03-16 19:29:37 +08:00
ver217 fce9432f08 sync before creating empty grad 2022-03-16 14:24:09 +08:00
Jiarui Fang f9c762df85
[test] merge zero optim tests (#428) 2022-03-16 12:22:45 +08:00
Jiarui Fang 5d7dc3525b
[hotfix] run cpu adam unittest in pytest (#424) 2022-03-16 10:39:55 +08:00
Jiarui Fang adebb3e041
[zero] cuda margin space for OS (#418) 2022-03-15 12:02:19 +08:00
Jiarui Fang 56bb412e72
[polish] use GLOBAL_MODEL_DATA_TRACER (#417) 2022-03-15 11:29:46 +08:00
Jiarui Fang 23ba3fc450
[zero] refactory ShardedOptimV2 init method (#416) 2022-03-15 10:45:55 +08:00
Frank Lee e79ea44247
[fp16] refactored fp16 optimizer (#392) 2022-03-15 10:05:38 +08:00
Jiarui Fang 21dc54e019
[zero] memtracer to record cuda memory usage of model data and overall system (#395) 2022-03-14 22:05:30 +08:00
Jiarui Fang a37bf1bc42
[hotfix] rm test_tensor_detector.py (#413) 2022-03-14 21:39:48 +08:00
Jiarui Fang 370f567e7d
[zero] new interface for ShardedOptimv2 (#406) 2022-03-14 20:48:41 +08:00
LuGY a9c27be42e
Added tensor detector (#393) 
* Added tensor detector

* Added the - states

* Allowed change include_cpu when detect()
 2022-03-14 18:01:46 +08:00
ver217 54fd37f0e0 polish unit test 2022-03-14 15:06:02 +08:00
Frank Lee 1e4bf85cdb fixed bug in activation checkpointing test (#387) 2022-03-11 15:50:28 +08:00
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
 2022-03-11 15:50:28 +08:00
Frank Lee 526a318032 [unit test] Refactored test cases with component func (#339) 
* refactored test with component func

* fixed bug
 2022-03-11 15:50:28 +08:00
LuGY de46450461 Added activation offload (#331) 
* Added activation offload

* Fixed the import bug, used the pytest
 2022-03-11 15:50:28 +08:00
Jiarui Fang b5f43acee3 [zero] find miss code (#378) 2022-03-11 15:50:28 +08:00
Jiarui Fang 6b6002962a [zero] zero init context collect numel of model (#375) 2022-03-11 15:50:28 +08:00
jiaruifang d9217e1960 Revert "[zero] bucketized tensor cpu gpu copy (#368)" 
This reverts commit bef05489b6.
 2022-03-11 15:50:28 +08:00
Jiarui Fang 00670c870e [zero] bucketized tensor cpu gpu copy (#368) 2022-03-11 15:50:28 +08:00
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
 2022-03-11 15:50:28 +08:00
Jiarui Fang ea2872073f [zero] global model data memory tracer (#360) 2022-03-11 15:50:28 +08:00
Jiarui Fang cb34cd384d [test] polish zero related unitest (#351) 2022-03-11 15:50:28 +08:00
ver217 532ae79cb0 add test sharded optim with cpu adam (#347) 2022-03-11 15:50:28 +08:00
HELSON 425bb0df3f Added Profiler Context to manage all profilers (#340) 2022-03-11 15:50:28 +08:00
ver217 d0ae0f2215 [zero] update sharded optim v2 (#334) 2022-03-11 15:50:28 +08:00
ver217 2b8cddd40e skip bert in test engine 2022-03-11 15:50:28 +08:00
ver217 f5f0ad266e fix bert unit test 2022-03-11 15:50:28 +08:00
jiaruifang d271f2596b polish engine unitest 2022-03-11 15:50:28 +08:00
jiaruifang 354c0f9047 polish code 2022-03-11 15:50:28 +08:00
jiaruifang 4d94cd513e adapting bert unitest interface 2022-03-11 15:50:28 +08:00
jiaruifang 7977422aeb add bert for unitest and sharded model is not able to pass the bert case 2022-03-11 15:50:28 +08:00
ver217 1388671699 [zero] Update sharded model v2 using sharded param v2 (#323) 2022-03-11 15:50:28 +08:00
jiaruifang 799d105bb4 using pytest parametrize 2022-03-11 15:50:28 +08:00
jiaruifang dec24561cf show pytest parameterize 2022-03-11 15:50:28 +08:00
Jiarui Fang 11bddb6e55 [zero] update zero context init with the updated test utils (#327) 2022-03-11 15:50:28 +08:00
Frank Lee 6268446b81 [test] refactored testing components (#324) 2022-03-11 15:50:28 +08:00
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
 2022-03-11 15:50:28 +08:00
1SAA 73bff11288 Added profiler communication operations 
Fixed bug for learning rate scheduler
 2022-03-11 15:50:28 +08:00
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>
 2022-03-11 15:50:28 +08:00
Jiarui Fang 90d3aef62c [zero] yet an improved sharded param (#311) 2022-03-11 15:50:28 +08:00
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
 2022-03-11 15:50:28 +08:00
ver217 36f9a74ab2 fix sharded param hook and unit test 2022-03-11 15:50:28 +08:00
ver217 001ca624dd impl shard optim v2 and add unit test 2022-03-11 15:50:28 +08:00
Jiarui Fang 74f77e314b [zero] a shard strategy in granularity of tensor (#307) 2022-03-11 15:50:28 +08:00
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
 2022-03-11 15:50:28 +08:00
Jie Zhu d344689274 [profiler] primary memory tracer 2022-03-11 15:50:28 +08:00
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
 2022-03-11 15:50:28 +08:00
ver217 7aef75ca42 [zero] add sharded grad and refactor grad hooks for ShardedModel (#287) 2022-03-11 15:50:28 +08:00
Frank Lee 27155b8513 added unit test for sharded optimizer (#293) 
* added unit test for sharded optimizer

* refactor for elegance
 2022-03-11 15:50:28 +08:00
Frank Lee e17e54e32a added buffer sync to naive amp model wrapper (#291) 2022-03-11 15:50:28 +08:00
Jiarui Fang 8d653af408 add a common util for hooks registered on parameter. (#292) 2022-03-11 15:50:28 +08:00
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>
 2022-03-11 15:50:28 +08:00
1SAA 82023779bb Added TPExpert for special situation 2022-03-11 15:50:28 +08:00
1SAA 219df6e685 Optimized MoE layer and fixed some bugs; 
Decreased moe tests;

Added FFNExperts and ViTMoE model
 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
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
Frank Lee e2089c5c15
adapted for sequence parallel (#163) 2022-01-20 13:44:51 +08:00
ver217 7bf1e98b97
pipeline last stage supports multi output (#151) 2022-01-17 15:57:47 +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
ver217 8f02a88db2
add interleaved pipeline, fix naive amp and update pipeline model initializer (#80) 2021-12-20 23:26:19 +08:00
Frank Lee 91c327cb44
fixed zero level 3 dtype bug (#76) 2021-12-20 17:00:53 +08:00
Frank Lee cd9c28e055
added CI for unit testing (#69) 2021-12-16 10:32:08 +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
アマデウス 3245a69fc2
cleaned test scripts 2021-10-29 00:48:14 +08:00
zbian 404ecbdcc6 Migrated project 2021-10-28 18:21:23 +02:00