GitLab

* [shardformer] embedding support inplace sharding

* [shardformer] linear support inplace sharding

* [shardformer] layernorm support inplace sharding

* [shardformer] qkv support inplace sharding

* [test] update shardformer layer test

* [shardformer] fix shared param sharding

* [shardformer] fix bert policy

* [shardformer] fix bloom policy

* [shardformer] fix llama policy

* [shardformer] fix opt policy

* [shardformer] fix t5 policy

* [shardformer] fix fused qkv linear

* [shardformer] fix bugs

* force sync

* [test] fix bugs

* [test] fix transformer version

* [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

* 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

Co-authored-by: github-actions <github-actions@github.com>

* 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

* 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

* add linearconv1d test

* add linearconv1d test

* [shardformer] support module saving and loading

* polish code

* [shardformer] refactored embedding and dropout to parallel module

* polish code

* [shardformer] integrated linear 1D with dtensor

* polish code