* * fix typehint & docstring in sharder.py
* * update pipeline forward for GPT2Model
* * add test for pipeline forward of GPT2Model
* * add cache cleaning in gpt2 test
* * change assert to raise command
* [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
* 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 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
* 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
* 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 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
* 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
* 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