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* [Feat] Diffusion Model(PixArtAlpha/StableDiffusion3) Support (#5838)
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* [Feature] Enable PP + SP for llama (#5868)
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* [ShardFormer] Add Ulysses Sequence Parallelism support for Command-R, Qwen2 and ChatGLM (#5897)
* add benchmark for sft, dpo, simpo, orpo. Add benchmarking result. Support lora with gradient checkpoint
* fix style
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* fix eval
* hotfix citation
* [zero] support all-gather overlap (#5898)
* [zero] support all-gather overlap
* [zero] add overlap all-gather flag
* [misc] fix typo
* [zero] update api
* fix orpo cross entropy loss
* [Auto Parallel]: Speed up intra-op plan generation by 44% (#5446)
* Remove unnecessary calls to deepcopy
* Build DimSpec's difference dict only once
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* Fix documentation of DimSpec's difference method
* [ShardFormer] fix qwen2 sp (#5903)
* [compatibility] support torch 2.2 (#5875)
* Support Pytorch 2.2.2
* keep build_on_pr file and update .compatibility
* fix object_to_tensor usage when torch>=2.3.0 (#5820)
* [misc] support torch2.3 (#5893)
* [misc] support torch2.3
* [devops] update compatibility ci
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* [devops] add debug
* [devops] add debug
* [devops] add debug
* [devops] add debug
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* [release] update version (#5912)
* [plugin] support all-gather overlap for hybrid parallel (#5919)
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* add kto
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* [ColossalChat] Hotfix for ColossalChat (#5910)
* add ignore and tiny llama
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* add Qwen 1.5 32B
* refactor tokenization
* [FIX BUG] UnboundLocalError: cannot access local variable 'default_conversation' where it is not associated with a value (#5931)
* cannot access local variable 'default_conversation' where it is not associated with a value
set default value for 'default_conversation'
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* fix test data
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* remove real data path
* remove real data path
* Add n_fused as an input from native_module (#5894)
* [FIX BUG] convert env param to int in (#5934)
* [Hotfix] Fix ZeRO typo #5936
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* [Feature] Add a switch to control whether the model checkpoint needs to be saved after each epoch ends (#5941)
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* fix style
* fix style
* fix style
* [shardformer] hotfix attn mask (#5945)
* [shardformer] hotfix attn mask (#5947)
* [Feat] Distrifusion Acceleration Support for Diffusion Inference (#5895)
* Distrifusion Support source
* comp comm overlap optimization
* sd3 benchmark
* pixart distrifusion bug fix
* sd3 bug fix and benchmark
* generation bug fix
* naming fix
* add docstring, fix counter and shape error
* add reference
* readme and requirement
* [zero] hotfix update master params (#5951)
* [release] update version (#5952)
* [Chat] Fix lora (#5946)
* fix merging
* remove filepath
* fix style
* Update README.md (#5958)
* [hotfix] Remove unused plan section (#5957)
* remove readme
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* [test] add mixtral for sequence classification
* [test] add mixtral transformer test
* [moe] fix plugin
* [test] mixtra pp shard test
* [chore] handle non member group
* [zero] solve hang
* [test] pass mixtral shardformer test
* [moe] implement transit between non moe tp and ep
* [zero] solve hang
* [misc] solve booster hang by rename the variable
* solve hang when parallel mode = pp + dp
* [moe] implement submesh initialization
* [moe] add mixtral dp grad scaling when not all experts are activated
* [chore] manually revert unintended commit
* [chore] trivial fix
* [chore] arg pass & remove drop token
* [test] add mixtral modelling test
* [moe] implement tp
* [moe] test deepseek
* [moe] clean legacy code
* [Feature] MoE Ulysses Support (#5918)
* moe sp support
* moe sp bug solve
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* [chore] minor fix
* [moe] init moe plugin comm setting with sp
* moe sp + ep bug fix
* [moe] finalize test (no pp)
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* [chore] minor fix after rebase
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* [chore] solve moe ckpt test failure and some other arg pass failure
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* [misc] skip redunant test
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* Revert "[moe] implement submesh initialization"
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* [chore] change moe_pg_mesh to private
* [misc] remove incompatible test config
* [misc] fix ci failure: change default value to false in moe plugin
* [misc] remove useless condition
* [chore] docstring
* [moe] remove force_overlap_comm flag and add warning instead
* [doc] add MoeHybridParallelPlugin docstring
* [moe] solve dp axis issue
* [chore] remove redundant test case, print string & reduce test tokens
* [feat] Dist Loader for Eval (#5950)
* support auto distributed data loader
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* support auto distributed data loader
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* fix tp error
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---------
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* [lora] lora support hybrid parallel plugin (#5956)
* lora support hybrid plugin
* fix
* fix
* fix
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* fp8 operators for compressed communication
cast_to_fp8, cast_from_fp8, all_reduce_fp8
* fix scaling algorithm in FP8 casting
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* add fp8_communication flag in the script
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* fix typo
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* shardformer fp8
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* fix
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* update to fully overlap, still debugging
* improve interface
* fixed deadlock bug
* debug NaN loss
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* clean up; removed the double p2p batch case
* p2p test passsed
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* tentatively use 2 p2p batches
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* fix: simplify merge_batch
* fix: use return_outputs=False to eliminate extra memory consumption
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* test: add more p2p tests
* fix: remove send_forward_recv_forward as p2p op list need to use the same group
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* [shardformer] shardformer support falcon (#4883)
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* [npu] setup device utils (#5047)
* [npu] add npu device support
* [npu] support low level zero
* [test] update npu zero plugin test
* [hotfix] fix import
* [test] recover tests
* [npu] gemini support npu (#5052)
* [npu] refactor device utils
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* [example] llama2+gemini support npu
* [kernel] add arm cpu adam kernel (#5065)
* [kernel] add arm cpu adam
* [optim] update adam optimizer
* [kernel] arm cpu adam remove bf16 support
* Use p2p
* Cannot bidirectonal send p2p
* Refactor tensor creation and serialization in P2P
communication
* Fix llama forward args in flash attention
* Add flop estimate from megatron
* Support loading weight not in weight_map when strict=False in hybrid_parallel
* Use send_forward_recv_backward, etc in 1f1b
* Use dataclass for metdata
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* Add comment about the torch.cuda.synchronize for potential error
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* [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
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* 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
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* remove unused file
* modify the way of saving newtokens
* modify to tieweight
* modify test
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* 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)
* [legacy] move communication to legacy (#4640)
* [legacy] refactor logger and clean up legacy codes (#4654)
* [legacy] make logger independent to gpc
* [legacy] make optim independent to registry
* [legacy] move test engine to legacy
* [legacy] move nn to legacy (#4656)
* [legacy] move nn to legacy
* [checkpointio] fix save hf config
* [test] remove useledd rpc pp test
* [legacy] fix nn init
* [example] skip tutorial hybriad parallel example
* [devops] test doc check
* [devops] test doc check
* refactor tests
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* finish policy tests
* refactor tests
* fix test pure pipeline
* remove test pipeline and cutdown launch process
* refactor tests
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* finish policy tests
* refactor tests
* fix test pure pipeline
* remove test pipeline and cutdown launch process
* bloom policy
* llama pipeline forward and tests
* fix the output and attention_mask
* fix name
* bind argument to policy
* Revert "bloom policy"
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* revert the bloom changes
* cancel unneeded inputs
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* fix bugs
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* add Bert_Policy and test for policy
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* add bert_for_pretraining forward and policy
* fix typos
* cancel warning
* change the imediate output to default dict
* change the default output of get_shared_params
* add pipeline policy and bert forward to be done
* add bertmodel pipeline forward and make tests
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Hongxin Liu