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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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2
tests/kit/model_zoo/transformers/gpt.py
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@@ -14,7 +14,7 @@ def data_gen():
# Generated from following code snippet
#
# from transformers import GPT2Tokenizer
# input = 'Hello, my dog is cute'
# input = 'Hello, my dog is cute is cute' (last two words repeated to satisfy length requirement)
# tokenized_input = tokenizer(input, return_tensors='pt')
# input_ids = tokenized_input['input_ids']
# attention_mask = tokenized_input['attention_mask']