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[shardformer]: support gpt-j, falcon, Mistral and add interleaved pipeline for bert (#5088)

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* [shardformer] implement policy for all GPT-J models and test

* [shardformer] support interleaved pipeline parallel for bert finetune

* [shardformer] shardformer support falcon (#4883)

* [shardformer]: fix interleaved pipeline for bert model (#5048)

* [hotfix]: disable seq parallel for gptj and falcon, and polish code (#5093)

* Add Mistral support for Shardformer (#5103)

* [shardformer] add tests to mistral (#5105)

---------

Co-authored-by: Pengtai Xu <henryxu880@gmail.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
Co-authored-by: flybird11111 <1829166702@qq.com>
Co-authored-by: eric8607242 <e0928021388@gmail.com>
This commit is contained in:
Wenhao Chen
2023-11-28 16:54:42 +08:00
committed by GitHub
parent 126cf180bc
commit 7172459e74
39 changed files with 4007 additions and 234 deletions
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4
colossalai/shardformer/layer/normalization.py
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@@ -275,8 +275,8 @@ class FusedRMSNorm(BaseLayerNorm):
)
LazyInitContext.materialize(module)
# to check if it is huggingface LlamaRMSNorm
if module.__class__.__name__ == "LlamaRMSNorm":
# to check if it is huggingface LlamaRMSNorm or MistralRMSNorm
if module.__class__.__name__ in ["LlamaRMSNorm", "MistralRMSNorm"]:
normalized_shape = module.weight.shape[0]
eps = module.variance_epsilon
elementwise_affine = True