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* [moe] removed openmoe-coupled code and rectify mixstral code (#5471)
* [Feauture] MoE refractor; Intergration with Mixtral (#5682)
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* add mixtral auto policy & move pipeline forward code to modeling folder
* [moe refactor] modify kernel test without Route Class
* [moe refactor] add moe tensor test path environment variable to github workflow
* fix typos
* fix moe test bug due to the code rebase
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* fix typo & unify global variable XX_AXIS logic without using -1
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* fix typo
* fix typo
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* [moe refactor] fix unit import error
* [moe refactor] fix circular import issues
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* [Feature] MoE refactor with newest version of ZeRO (#5801)
* [zero] remove redundant members in BucketStore (#5802)
* [zero] align api with previous version
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* move moe checkpoint to checkpoint folder and exchange global axis to class member
* update moe hybrid parallel plugin with newest version of zero & fix zero working/master params bug
* fix zero unit test
* Add an assertion to prevent users from using it incorrectly
* [hotfix]Solve the compatibility issue of zero refactor (#5823)
* [moe refactor] update unit test with the refactored ZeRO and remove useless test
* move moe checkpoint to checkpoint folder and exchange global axis to class member
* update moe hybrid parallel plugin with newest version of zero & fix zero working/master params bug
* fix zero unit test
* Add an assertion to prevent users from using it incorrectly
* Modify function parameter names to resolve compatibility issues
* [zero] fix missing hook removal (#5824)
* [MoE] Resolve .github conflict (#5829)
* [Fix/Example] Fix Llama Inference Loading Data Type (#5763)
* [fix/example] fix llama inference loading dtype
* revise loading dtype of benchmark llama3
* [release] update version (#5752)
* [release] update version
* [devops] update compatibility test
* [devops] update compatibility test
* [devops] update compatibility test
* [devops] update compatibility test
* [test] fix ddp plugin test
* [test] fix gptj and rpc test
* [devops] fix cuda ext compatibility
* [inference] fix flash decoding test
* [inference] fix flash decoding test
* fix (#5765)
* [test] Fix/fix testcase (#5770)
* [fix] branch for fix testcase;
* [fix] fix test_analyzer & test_auto_parallel;
* [fix] remove local change about moe;
* [fix] rm local change moe;
* [Hotfix] Add missing init file in inference.executor (#5774)
* [CI/tests] simplify some test case to reduce testing time (#5755)
* [ci/tests] simplify some test case to reduce testing time
* [ci/tests] continue to remove test case to reduce ci time cost
* restore some test config
* [ci/tests] continue to reduce ci time cost
* [misc] update dockerfile (#5776)
* [misc] update dockerfile
* [misc] update dockerfile
* [devops] fix docker ci (#5780)
* [Inference]Add Streaming LLM (#5745)
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* add some parameters to llama_generation.py
* verify streamingllm config
* add test_streamingllm.py
* modified according to the opinions of review
* add Citation
* change _block_tables tolist
* [hotfix] fix llama flash attention forward (#5777)
* [misc] Accelerate CI for zero and dist optim (#5758)
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* remove d2h copy in checking states
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [Test/CI] remove test cases to reduce CI duration (#5753)
* [test] smaller gpt2 test case
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* [test] reduce test cases: tests/test_zero/test_gemini/test_grad_accum.py
* [test] reduce test cases tests/test_zero/test_gemini/test_optim.py
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Some tests might depend on the size of model (num of chunks)
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* [test] reduce test cases: tests/test_checkpoint_io/test_gemini_checkpoint_io.py
* [CI] smaller test model for two mwo the two modifid cases
* [CI] hardcode gpt model for tests/test_zero/test_gemini/test_search.py since we need a fixed answer there
* [hotfix] fix testcase in test_fx/test_tracer (#5779)
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* [fix] fix test_deepfm_model & test_dlrf_model；
* [fix] fix test_hf_albert & test_hf_gpt;
* [gemini] optimize reduce scatter d2h copy (#5760)
* [gemini] optimize reduce scatter d2h copy
* [fix] fix missing reduce variable
* [refactor] remove legacy async reduce scatter code
* [gemini] missing sync
* Revert "[refactor] remove legacy async reduce scatter code"
This reverts commit 58ad76d466.
* [gemini] further optimize with async all reduce
* [fix] pass flag from manager to chunk
* Allow building cuda extension without a device. (#5535)
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* [misc] fix dist logger (#5782)
* [install]fix setup (#5786)
* fix
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* [misc] update requirements (#5787)
* [shardformer] fix import (#5788)
* upgrade colossal-chat support tp_group>1, add sp for sft
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* fix training script
* fix ci
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* fix transformers version
* remove duplicated test
* fix datasets version
* remove models that require huggingface auth from ci
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* fix readme
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* [test] fix chatglm test kit (#5793)
* [shardformer] fix modeling of bloom and falcon (#5796)
* [test] fix qwen2 pytest distLarge (#5797)
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* [Gemini] Use async stream to prefetch and h2d data moving (#5781)
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* Remove redundant code
* [gemini] quick fix on possible async operation (#5803)
* [gemini] quick fix on possible async operation
* [gemini] quick fix on possible async operation
* [shardformer] upgrade transformers to 4.39.3 (#5815)
* [shardformer]upgrade transformers for gpt2/gptj/whisper (#5807)
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* [shardformer] fix whisper modeling
* [misc] update requirements
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* [shardformer]upgrade transformers for mistral (#5808)
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* fix
* fix
* [shardformer]upgrade transformers for llama (#5809)
* update transformers
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* fix
* fix
* [inference] upgrade transformers (#5810)
* update transformers
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* fix
* fix
* fix
* fix
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* Support 4d parallel + flash attention (#5789)
* support tp + sp + pp
* remove comments
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* [zero] fix hook bug
* [zero] add low level optimizer back (#5839)
* [zero] fix param & refactor
* [zero] add back original low level opt
* [zero] remove moe related
* [zero] pass zero tests
* [zero] refactor
* [chore] add del func back
* [zero] comments and naming (#5840)
* [zero] modify api (#5843)
* [zero] modify api
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* [test] fix (#5857)
* [CI] skip openmoe CI check
* [CI] fox pre-commit
* [zero] remove redundant memebr init (#5862)
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* [misc] remove useless code, modify the pg mesh implementation
* [misc] use tempfile
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* delete xformers
* fix
* fix
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* t5 token, still pytest fail
* Resolve T5 Pytest Failure
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* update to fully overlap, still debugging
* improve interface
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* debug NaN loss
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* p2p test passsed
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* tentatively use 2 p2p batches
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Guangyao Zhang