6a88bae4ec
[shardformer] integrate with data parallelism ( #4103 )
2023-07-04 16:05:01 +08:00
f3b6aaa6b7
[shardformer] supported fused normalization ( #4112 )
2023-07-04 16:05:01 +08:00
b1c2901530
[shardformer] supported bloom model ( #4098 )
2023-07-04 16:05:01 +08:00
8af29ee47a
[shardformer] support vision transformer ( #4096 )
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* first v of vit shardformer
* keep vit
* update
* vit shard add vitattention vitlayer
* update num head shard para
* finish test for vit
* add new_model_class & postprocess
* add vit readme
* delete old files & fix the conflict
* fix sth
2023-07-04 16:05:01 +08:00
ac80937138
[shardformer] shardformer support opt models ( #4091 )
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* [shardformer] shardformer support opt models
* [shardformer] shardformer support opt models, fix
* [shardformer] shardformer support opt models, fix
* [shardformer] shardformer support opt models, fix
2023-07-04 16:05:01 +08:00
d33a44e8c3
[shardformer] refactored layernorm ( #4086 )
2023-07-04 16:05:01 +08:00
c4b1b65931
[test] fixed tests failed due to dtensor change ( #4082 )
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* [test] fixed tests failed due to dtensor change
* polish code
2023-07-04 16:05:01 +08:00
92f6791095
[shardformer] Add layernorm ( #4072 )
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* add layernorm to bert
* add layernorm test
* add layernorm test with load state dict
* add use_mixedfusedLN in shard config
* refactor policy to support fused_layernorm
2023-07-04 16:05:01 +08:00
70c58cfd4f
[shardformer] supported fused qkv checkpoint ( #4073 )
2023-07-04 16:05:01 +08:00
0803a61412
[shardformer] add linearconv1d test ( #4067 )
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* add linearconv1d test
* add linearconv1d test
2023-07-04 16:05:01 +08:00
8eb09a4c69
[shardformer] support module saving and loading ( #4062 )
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* [shardformer] support module saving and loading
* polish code
2023-07-04 16:05:01 +08:00
7740c55c55
support kit use for bert/gpt test ( #4055 )
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* support kit use for bert test
* support kit test for gpt2
2023-07-04 16:05:01 +08:00
f22ddacef0
[shardformer] refactored the shardformer layer structure ( #4053 )
2023-07-04 16:05:01 +08:00
58df720570
[shardformer] adapted T5 and LLaMa test to use kit ( #4049 )
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* [shardformer] adapted T5 and LLaMa test to use kit
* polish code
2023-07-04 16:05:01 +08:00
4021b9a8a2
[shardformer] add gpt2 test and layer class refactor ( #4041 )
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* add gpt2 test and layer class refactor
* add dropout in gpt2 policy
2023-07-04 16:05:01 +08:00
d857f3dbba
[shardformer] supported T5 and its variants ( #4045 )
2023-07-04 16:05:01 +08:00
c1d5453e9f
[shardformer] adapted llama to the new API ( #4036 )
2023-07-04 16:05:01 +08:00
74d176c8d8
[shardformer] fix bert and gpt downstream with new api ( #4024 )
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* fix bert downstream with new api
* remove comment line
2023-07-04 16:05:01 +08:00
e253a07007
[shardformer] updated doc ( #4016 )
2023-07-04 16:05:01 +08:00
df018fc305
support bert with new api
2023-07-04 16:05:01 +08:00
507c0ad368
add vocabembedding layer
2023-07-04 16:05:01 +08:00
45d9384346
[shardformer] removed inplace tensor sharding ( #4018 )
2023-07-04 16:05:01 +08:00
3893fa1a8d
[shardformer] refactored embedding and dropout to parallel module ( #4013 )
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* [shardformer] refactored embedding and dropout to parallel module
* polish code
2023-07-04 16:05:01 +08:00
dfca9678fa
integrate with dist layer ( #4011 )
2023-07-04 16:05:01 +08:00
015af592f8
[shardformer] integrated linear 1D with dtensor ( #3996 )
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* [shardformer] integrated linear 1D with dtensor
* polish code
2023-07-04 16:05:01 +08:00
d3bc530849
[shardformer] Refactor shardformer api ( #4001 )
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* fix an error in readme
* simplify code
* refactor shardformer
* add todo
* remove slicer
* resolve code review
2023-07-04 16:05:01 +08:00
611971248c
[device] support init device mesh from process group ( #3990 )
2023-07-04 16:05:01 +08:00
a2f9af810d
[shardformer] fix an error in readme ( #3988 )
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* fix an error in readme
* simplify code
2023-07-04 16:05:01 +08:00
f7774ec0f3
[Shardformer] Downstream bert ( #3979 )
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* add dist dropout in model
* update docstring and bert policy with dropout
* refactor basepolicy and sharded, update bert
* update format
* update gpt2 policy
* update bert policy
* remove unused code
* update readme for new policy usage
* add downstream model of bert
* remove unused code
2023-07-04 16:05:01 +08:00
c1c672d0f0
[shardformer] shardformer support t5 model ( #3994 )
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test t5
2023-07-04 16:05:01 +08:00
6b30dfb7ce
[shardformer] support llama model using shardformer ( #3969 )
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adjust layer attr
2023-07-04 16:05:01 +08:00
45927d5527
[shardformer] Add dropout layer in shard model and refactor policy api ( #3949 )
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* add dist dropout in model
* update docstring and bert policy with dropout
* refactor basepolicy and sharded, update bert
* update format
* update gpt2 policy
* update bert policy
* remove unused code
* update readme for new policy usage
2023-07-04 16:05:01 +08:00
a73130482d
[shardformer] Unit test ( #3928 )
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* fix bug in slicer, add slicer unit test
* add dropout test
* use pid as dropout seed
* updata dropout test with local pattern
* ad todo
2023-07-04 16:05:01 +08:00
f1cb5ac6bf
[shardformer] Align bert value ( #3907 )
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* add bert align test, fix dist loss bug
* forward and backward align
* add ignore index
* add shardformer CI
* add gather_output optional for user in shardconfig
* update readme with optional gather_ouput
* add dist crossentropy loss test, remove unused files
* remove unused file
* remove unused file
* rename the file
* polish code
2023-07-04 16:05:01 +08:00
79f8d5d54b
[shardformer] add gpt2 policy and modify shard and slicer to support ( #3883 )
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* add gpt2 policy and modify shard and slicer to support
* remove unused code
* polish code
2023-07-04 16:05:01 +08:00
70173e3123
update README ( #3909 )
2023-07-04 16:05:01 +08:00
ab8a47f830
[shardformer] add Dropout layer support different dropout pattern ( #3856 )
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* add dropout layer, add dropout test
* modify seed manager as context manager
* add a copy of col_nn.layer
* add dist_crossentropy loss; separate module test
* polish the code
* fix dist crossentropy loss
2023-07-04 16:05:01 +08:00
c594dc2f1c
[shardformer] update readme with modules implement doc ( #3834 )
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* update readme with modules content
* remove img
2023-07-04 16:05:01 +08:00
4972e1f40e
[shardformer] refactored the user api ( #3828 )
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* [shardformer] refactored the user api
* polish code
2023-07-04 16:05:01 +08:00
235792f170
[shardformer] updated readme ( #3827 )
2023-07-04 16:05:01 +08:00
8cc11235c0
[shardformer]: Feature/shardformer, add some docstring and readme ( #3816 )
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* init shardformer code structure
* add implement of sharder (inject and replace)
* add implement of replace layer to colossal layer
* separate different layer policy, add some notion
* implement 1d and 2d slicer, can tell col or row
* fix bug when slicing and inject model
* fix some bug; add inference test example
* add share weight and train example
* add train
* add docstring and readme
* add docstring for other files
* pre-commit
2023-07-04 16:05:01 +08:00
8d68de767d
[shardformer] init shardformer code structure ( #3731 )
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* init shardformer code structure
* add implement of sharder (inject and replace)
* add implement of replace layer to colossal layer
* separate different layer policy, add some notion
* implement 1d and 2d slicer, can tell col or row
* fix bug when slicing and inject model
* fix some bug; add inference test example
2023-07-04 16:05:01 +08:00
3d8d5d0d58
[chat] use official transformers and fix some issues ( #4117 )
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* feat: remove on_learn_epoch fn as not used
* revert: add _on_learn_epoch fn
* feat: remove NaiveStrategy
* test: update train_prompts tests
* fix: remove prepare_llama_tokenizer_and_embedding
* test: add lora arg
* feat: remove roberta support in train_prompts due to runtime errs
* feat: remove deberta & roberta in rm as not used
* test: remove deberta and roberta tests
* feat: remove deberta and roberta models as not used
* fix: remove calls to roberta
* fix: remove prepare_llama_tokenizer_and_embedding
* chore: update transformers version
* docs: update transformers version
* fix: fix actor inference
* fix: fix ci
* feat: change llama pad token to unk
* revert: revert ddp setup_distributed
* fix: change llama pad token to unk
* revert: undo unnecessary changes
* fix: use pip to install transformers
2023-07-04 13:49:09 +08:00
1350ece492
[hotfix] fix import bug in checkpoint_io ( #4142 )
2023-07-03 22:14:37 +08:00
8abc87798f
fix Tensor is not defined ( #4129 )
2023-07-03 17:10:18 +08:00
7e46bc87b6
fix CheckpointIndexFile is not defined ( #4109 )
2023-07-03 17:09:06 +08:00
09fe9dc704
[nfc]fix ColossalaiOptimizer is not defined ( #4122 )
2023-06-30 17:23:22 +08:00
edd75a59ea
[chat] remove naive strategy and split colossalai strategy ( #4094 )
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* feat: remove on_learn_epoch fn as not used
* revert: add _on_learn_epoch fn
* to: remove the use of NaiveStrategy
* test: remove NaiveStrategy tests
* feat: remove NaiveStrategy
* style: modify comments and params
* feat: split ColossalAIStrategy into LowLevelZeroStrategy and GeminiStrategy
* fix: remove naive
* fix: align with modified colossal strategy
* fix: fix ddp _try_init_dist arg
2023-06-29 18:11:00 +08:00
b03d64d010
[chat] refactor trainer class ( #4080 )
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* to: add SLTrainer
* refactor: refactor RMTrainer and SFTTrainer
* fix: fix init file
* feat: remove on_learn_epoch fn as not used
* fix: align with modified gemini arguments
* to: add OnPolicyTrainer
* revert: add _on_learn_epoch fn
* refactor: refactor PPOTrainer
* style: rename PPOTrainer argument
* fix: align with modified PPO arguments
* test: align with modified train_prompts arguments
* chore: modify train_prompts
* docs: align with modified arguments
* fix: remove unnecessary output
* fix: move dataloader to fit fn of SLTrainer
* fix: move dataloader to fit fn of OnPolicyTrainer
* fix: modify usage of prompt and pretrain dataloader
2023-06-29 10:48:09 +08:00
711e2b4c00
[doc] update and revise some typos and errs in docs ( #4107 )
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* fix some typos and problems in doc
* fix some typos and problems in doc
* add doc test
2023-06-28 19:30:37 +08:00
Frank Lee