* refactor pipeline into new CaiInferEngine
* updata llama modeling forward
* merge tp with pp
* update docstring
* optimize test workflow and example
* fix typo
* add assert and todo
* [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>
* [test] add custom models in model zoo
* [test] update legacy test
* [test] update model zoo
* [test] update gemini test
* [test] remove components to test
* add test
* fix no_sync bug in low level zero plugin
* fix test
* add argument for grad accum
* add grad accum in backward hook for gemini
* finish implementation, rewrite tests
* fix test
* skip stuck model in low level zero test
* update doc
* optimize communication & fix gradient checkpoint
* modify doc
* cleaning codes
* update cpu adam fp16 case
* [kernel] support pure fp16 for cpu adam (#4896)
* [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919)
* [kernel] fix cpu adam
* [test] update gemini optim test
* [feature] support no master weights for low level zero plugin
* [feature] support no master weights for low level zero plugin, remove data copy when no master weights
* remove data copy and typecasting when no master weights
* not load weights to cpu when using no master weights
* fix grad: use fp16 grad when no master weights
* only do not update working param when no master weights
* fix: only do not update working param when no master weights
* fix: passing params in dict format in hybrid plugin
* fix: remove extra params (tp_process_group) in hybrid_parallel_plugin
* [pipeline inference] pipeline inference (#4492)
* add pp stage manager as circle stage
* fix a bug when create process group
* add ppinfer basic framework
* add micro batch manager and support kvcache-pp gpt2 fwd
* add generate schedule
* use mb size to control mb number
* support generate with kv cache
* add output, remove unused code
* add test
* reuse shardformer to build model
* refactor some code and use the same attribute name of hf
* fix review and add test for generation
* remove unused file
* fix CI
* add cache clear
* fix code error
* fix typo
* [Pipeline inference] Modify to tieweight (#4599)
* add pp stage manager as circle stage
* fix a bug when create process group
* add ppinfer basic framework
* add micro batch manager and support kvcache-pp gpt2 fwd
* add generate schedule
* use mb size to control mb number
* support generate with kv cache
* add output, remove unused code
* add test
* reuse shardformer to build model
* refactor some code and use the same attribute name of hf
* fix review and add test for generation
* remove unused file
* modify the way of saving newtokens
* modify to tieweight
* modify test
* remove unused file
* solve review
* add docstring
* [Pipeline inference] support llama pipeline inference (#4647)
* support llama pipeline inference
* remove tie weight operation
* [pipeline inference] Fix the blocking of communication when ppsize is 2 (#4708)
* add benchmark verbose
* fix export tokens
* fix benchmark verbose
* add P2POp style to do p2p communication
* modify schedule as p2p type when ppsize is 2
* remove unused code and add docstring
* [Pipeline inference] Refactor code, add docsting, fix bug (#4790)
* add benchmark script
* update argparse
* fix fp16 load
* refactor code style
* add docstring
* polish code
* fix test bug
* [Pipeline inference] Add pipeline inference docs (#4817)
* add readme doc
* add a ico
* Add performance
* update table of contents
* refactor code (#4873)
Hongxin Liu