github
/
ColossalAI
mirror of https://github.com/hpcaitech/ColossalAI
1
0
Fork 0
Code Issues Projects Releases Wiki Activity
335 Commits
32 Branches
46 Tags
228 MiB
Commit Graph

44 Commits (e619a651fb27dc9db9ca0b97a10e00b3516243b0)

Author SHA1 Message Date
ver217 0ef8819c67
polish docstring of zero (#612) 2022-04-01 14:50:56 +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
Jiarui Fang 107b99ddb1
[zero] dump memory stats for sharded model (#548) 2022-03-30 09:38:44 +08:00
Jiarui Fang 53b1b6e340
[zero] non model data tracing (#545) 2022-03-29 15:45:48 +08:00
ver217 fb841dd5c5
[zero] optimize grad offload (#539) 
* optimize grad offload

* polish code

* polish code
 2022-03-29 12:48:00 +08:00
Jiarui Fang 705f56107c
[zero] refactor model data tracing (#537) 2022-03-28 16:38:18 +08:00
Jiarui Fang 05e33b2578
[zero] fix grad offload (#528) 
* [zero] fix grad offload

* polish code
 2022-03-25 18:23:25 +08:00
Jiarui Fang 4d322b79da
[refactor] remove old zero code (#517) 2022-03-25 14:54:39 +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 0035b7be07
[memory] add model data tensor moving api (#503) 2022-03-24 14:29:41 +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 c4c02424f3
[zero] sharded model manages ophooks individually (#492) 2022-03-22 17:33:20 +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
ver217 8d3250d74b
[zero] ZeRO supports pipeline parallel (#477) 2022-03-21 16:55:37 +08:00
ver217 fc8e6db005
[doc] Update docstring for ZeRO (#459) 
* polish sharded model docstr

* polish sharded optim docstr

* polish zero docstr

* polish shard strategy docstr
 2022-03-18 16:48:20 +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 57567ee768 update sharded optim and fix zero init ctx 2022-03-18 14:25:25 +08:00
Jiarui Fang 496cbb0760
[hotfix] fix initialize bug with zero (#442) 2022-03-17 13:16:22 +08:00
ver217 fce9432f08 sync before creating empty grad 2022-03-16 14:24:09 +08:00
ver217 ea6905a898 free param.grad 2022-03-16 14:24:09 +08:00
ver217 9506a8beb2 use double buffer to handle grad 2022-03-16 14:24:09 +08:00
Jiarui Fang adebb3e041
[zero] cuda margin space for OS (#418) 2022-03-15 12:02:19 +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 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
Jiarui Fang 272ebfb57d [bug] shard param during initializing the ShardedModelV2 (#381) 2022-03-11 15:50:28 +08:00
ver217 253e54d98a fix grad shape 2022-03-11 15:50:28 +08:00
ver217 d0ae0f2215 [zero] update sharded optim v2 (#334) 2022-03-11 15:50:28 +08:00
jiaruifang 5663616921 polish code 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
ver217 36f9a74ab2 fix sharded param hook and unit test 2022-03-11 15:50:28 +08:00
ver217 a109225bc2 add sharded adam 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
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