890774b2fb
[shardformer] support lazy init ( #4202 )
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* [shardformer] support lazy init
* [shardformer] linear support lazy init
* [shardformer] embedding support lazy init
* [shardformer] norm support lazy init
* [shardformer] fused linear support lazy init
* [test] update shardformer test layer
* [test] shardformer with lazy init fit ddp
* [lazy] hotfix deepcopy of param
* [shardformer] fix bert policy and update test
* [shardformer] fix bloom policy and update test
* [shardformer] fix opt policy and update test
* [shardformer] fix t5 policy and update test
* [shardformer] fix gpt2 policy and update test
* [shardformer] fix llama policy and update test
2023-08-15 23:25:14 +08:00
f3bcc292c8
[pipeline] move bert related pipeline components to shardformer ( #4187 )
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* move bert related pipeline components to shardformer
* fix bugs
* revision
* fix bert model tests
* fix bert_lm_head model tests
* fix tests
* fix tests
* done checks
* skip bloom
2023-08-15 23:25:14 +08:00
d35bd7d0e6
[shardformer] fix type hint
2023-08-15 23:25:14 +08:00
1ed3f8a24f
[shardformer] rename policy file name
2023-08-15 23:25:14 +08:00
b0b8ad2823
[pipeline] update shardformer docstring
2023-08-15 23:25:14 +08:00
59f6f573f1
[pipeline] update shardformer policy
2023-08-15 23:25:14 +08:00
9a4842c571
revise shardformer readme ( #4246 )
2023-07-17 17:30:57 +08:00
2ac24040eb
fix some typo colossalai/shardformer ( #4160 )
2023-07-04 17:53:39 +08:00
c77b3b19be
[format] applied code formatting on changed files in pull request 4152 ( #4157 )
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Co-authored-by: github-actions <github-actions@github.com>
2023-07-04 16:07:47 +08:00
89f45eda5a
[shardformer] added development protocol for standardization ( #4149 )
2023-07-04 16:05:01 +08:00
1fb0d95df0
[shardformer] made tensor parallelism configurable ( #4144 )
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* [shardformer] made tensor parallelism configurable
* polish code
2023-07-04 16:05:01 +08:00
74257cb446
[shardformer] refactored some doc and api ( #4137 )
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* [shardformer] refactored some doc and api
* polish code
2023-07-04 16:05:01 +08:00
7f9b30335b
[shardformer] write an shardformer example with bert finetuning ( #4126 )
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* [shardformer] add benchmark of shardformer
* [shardformer] add benchmark of shardformer
2023-07-04 16:05:01 +08:00
ae035d305d
[shardformer] added embedding gradient check ( #4124 )
2023-07-04 16:05:01 +08:00
44a190e6ac
[shardformer] import huggingface implicitly ( #4101 )
2023-07-04 16:05:01 +08:00
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
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
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
Hongxin Liu