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* fix style
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* [Fix/Example] Fix Llama Inference Loading Data Type (#5763)
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
* add parallel cross entropy output for falcon model & fix some typos in bloom.py
* fix module name error, self.model -> self.transformers in bloom, falcon model
* Fix the overflow bug of distributed cross entropy loss function when training with fp16
* add dtype to parallel cross entropy loss function
* fix dtype related typos adn prettify the loss.py
* fix grad dtype and update dtype mismatch error
* fix typo bugs
* fix test bugs
* add do sample test
* del useless lines
* fix comments
* fix tests
* delete version tag
* delete version tag
* add
* del test sever
* fix test
* fix
* Revert "add"
This reverts commit b9305fb024.
* modify coloattention
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix
* fix
* fix
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* fixed fused layernorm bug without apex
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* same for flash attn
* remove flash attn check
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* [devops] remove post commit ci
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* sequence parallel optimization
* validate sequence parallel in llama (code to be polished)
* shardformer api writing
* integrate sequence parallel in ShardFormer
* fix pp bugs and sp bugs for LlaMa model
* integrating ring-based sequence parallelism into ShardFormer
* [sequence parallelism]: Add fused megatron function
* integrating ring-based sequence parallelism into ShardFormer
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Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
* fix bugs when useing sp and flashattention together
* fix operation function name
* support flash attention for ulysses-style sp
* clarify sp process group
* fix compatibility bugs in moe plugin
* fix fused linear bugs
* fix linear layer test
* support gpt model all-to-all sp
* modify shard data dimension (meant to be dim=-1)
* support megtron-style sp and distributed attn for llama model
* [shardformer] add megatron sp to llama
* support llama7B 128k with distributed attention
* [shardformer] robustness enhancement
* add block attn
* sp mode 1: keep input as a complete sequence
* fix sp compatability
* finish sp mode 3 support for gpt
* using all_to_all_single when batch size is 1
* support mode 2 sp in gpt2 (#5)
* [shardformer] add megatron sp to llama
* support llama7B 128k with distributed attention
* [shardformer] robustness enhancement
* add block attn
* sp mode 1: keep input as a complete sequence
* fix sp compatability
* refactor ring implementation
* support mode 2 sp in gpt2
* polish code
* enable distributed attn mask when using sp mode 2 and 3 in llama
* automatically enable flash attn when using sp mode 2 and 3 in llama
* inplace attn mask
* add zero2 support for sequence parallel
* polish code
* fix bugs
* fix gemini checkpoint io
* loose tensor checking atol and rtol
* add comment
* fix llama layernorm grad
* fix zero grad
* fix zero grad
* fix conflict
* update split and gather auto grad func
* sequence parallel: inside text split (#6)
* polish code (part 1)
* polish code (part 2)
* polish code (part 2.5)
* polish code (part 3)
* sequence parallel: inside text split
* miscellaneous minor fixes
* polish code
* fix ulysses style ZeRO
* sequence parallel: inside text split
* miscellaneous minor fixes
* disaggregate sp group and dp group for sp
* fix llama and gpt sp
* polish code
* move ulysses grad sync to ddp (#9)
* remove zero_stage and unbind the grad sync for alltoall sp
* add 2d group creation test
* move ulysses grad sync to ddp
* add 2d group creation test
* remove useless code
* change shard config not to enable sp when enable_all_optimizations
* add sp warnings for several model
* remove useless code
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Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
* [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)
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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
* [gemini] support npu
* [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
* add APIs
* implement save_sharded_model
* add test for hybrid checkpointio
* implement naive loading for sharded model
* implement efficient sharded model loading
* open a new file for hybrid checkpoint_io
* small fix
* fix circular importing
* fix docstring
* arrange arguments and apis
* small fix
wangbluo