[shardformer] merge shardformer to main#4152
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FrankLeeeee merged 49 commits intomainfrom Jul 4, 2023
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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
) * 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
* [shardformer] refactored the user api * polish code
* update readme with modules content * remove img
…3883) * add gpt2 policy and modify shard and slicer to support * remove unused code * polish code
* 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
* fix bug in slicer, add slicer unit test * add dropout test * use pid as dropout seed * updata dropout test with local pattern * ad todo
#3949) * 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
adjust layer attr
* 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
* fix an error in readme * simplify code
* fix an error in readme * simplify code * refactor shardformer * add todo * remove slicer * resolve code review
* [shardformer] integrated linear 1D with dtensor * polish code
* fix bert downstream with new api * remove comment line
* add gpt2 test and layer class refactor * add dropout in gpt2 policy
* [shardformer] adapted T5 and LLaMa test to use kit * polish code
* support kit use for bert test * support kit test for gpt2
* [shardformer] support module saving and loading * polish code
* add linearconv1d test * add linearconv1d test
* 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
* [test] fixed tests failed due to dtensor change * polish code
* [shardformer] shardformer support opt models * [shardformer] shardformer support opt models, fix * [shardformer] shardformer support opt models, fix * [shardformer] shardformer support opt models, fix
* 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
* [shardformer] add benchmark of shardformer * [shardformer] add benchmark of shardformer
* [shardformer] refactored some doc and api * polish code
* [shardformer] made tensor parallelism configurable * polish code
ver217
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Jul 4, 2023
ver217
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Jul 4, 2023
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The code coverage for the changed files is 84%. Click me to view the complete report |
Contributor
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The code coverage for the changed files is 85%. Click me to view the complete report |
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📝 What does this PR do?
This PR releases the shardformer feature to the main branch.
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