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[Inference] Dynamic Batching Inference, online and offline (#4953)

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* [inference] Dynamic Batching for Single and Multiple GPUs (#4831)

* finish batch manager

* 1

* first

* fix

* fix dynamic batching

* llama infer

* finish test

* support different lengths generating

* del prints

* del prints

* fix

* fix bug

---------

Co-authored-by: CjhHa1 <cjh18671720497outlook.com>

* [inference] Async dynamic batching  (#4894)

* finish input and output logic

* add generate

* test forward

* 1

* [inference]Re push async dynamic batching (#4901)

* adapt to ray server

* finish async

* finish test

* del test

---------

Co-authored-by: yuehuayingxueluo <867460659@qq.com>

* Revert "[inference]Re push async dynamic batching (#4901)" (#4905)

This reverts commit fbf3c09e67.

* Revert "[inference] Async dynamic batching  (#4894)"

This reverts commit fced140250.

* Revert "[inference] Async dynamic batching  (#4894)" (#4909)

This reverts commit fced140250.

* Add Ray Distributed Environment Init Scripts

* support DynamicBatchManager base function

* revert _set_tokenizer version

* add driver async generate

* add async test

* fix bugs in test_ray_dist.py

* add get_tokenizer.py

* fix code style

* fix bugs about No module named 'pydantic' in ci test

* fix bugs in ci test

* fix bugs in ci test

* fix bugs in ci test

* [infer]Add Ray Distributed Environment Init Scripts (#4911)

* Revert "[inference] Async dynamic batching  (#4894)"

This reverts commit fced140250.

* Add Ray Distributed Environment Init Scripts

* support DynamicBatchManager base function

* revert _set_tokenizer version

* add driver async generate

* add async test

* fix bugs in test_ray_dist.py

* add get_tokenizer.py

* fix code style

* fix bugs about No module named 'pydantic' in ci test

* fix bugs in ci test

* fix bugs in ci test

* fix bugs in ci test

* support dynamic batch for bloom model and is_running function

* [Inference]Test for new Async engine (#4935)

* infer engine

* infer engine

* test engine

* test engine

* new manager

* change step

* add

* test

* fix

* fix

* finish test

* finish test

* finish test

* finish test

* add license

---------

Co-authored-by: yuehuayingxueluo <867460659@qq.com>

* add assertion for config (#4947)

* [Inference] Finish dynamic batching offline test (#4948)

* test

* fix test

* fix quant

* add default

* fix

* fix some bugs

* fix some bugs

* fix

* fix bug

* fix bugs

* reset param

---------

Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
This commit is contained in:
Jianghai
2023-10-30 10:52:19 +08:00
committed by GitHub
parent 4e4a10c97d
commit cf579ff46d
30 changed files with 2005 additions and 92 deletions
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6
tests/kit/model_zoo/transformers/llama.py
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@@ -27,8 +27,10 @@ if HAS_LLAMA:
# tokenized_input = tokenizer(input, return_tensors='pt').to('cuda')
# -----------------------------------
input_ids = torch.Tensor([[1, 15043, 29892, 590, 11203, 338, 274, 1082]]).long()
attention_mask = torch.Tensor([[1, 1, 1, 1, 1, 1, 1, 1]]).long()
input_ids = torch.Tensor(
[[1, 15043, 29892, 590, 11203, 338, 274, 1082], [1, 15043, 29892, 590, 11203, 338, 274, 1082]]
).long()
attention_mask = torch.Tensor([[1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1]]).long()
return dict(input_ids=input_ids, attention_mask=attention_mask)
# label is needed for casual lm