* Adapted to the baichuan2-7B model
* modified according to the review comments.
* Modified the method of obtaining random weights.
* modified according to the review comments.
* change mlp layewr 'NOTE'
* [devops] remove post commit ci
* [misc] run pre-commit on all files
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* 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
---------
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
---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
* Add dpo. Fix sft, ppo, lora. Refactor all
* fix and tested ppo
* 2 nd round refactor
* add ci tests
* fix ci
* fix ci
* fix readme, style
* fix readme style
* fix style, fix benchmark
* reproduce benchmark result, remove useless files
* rename to ColossalChat
* use new image
* fix ci workflow
* fix ci
* use local model/tokenizer for ci tests
* fix ci
* fix ci
* fix ci
* fix ci timeout
* fix rm progress bar. fix ci timeout
* fix ci
* fix ci typo
* remove 3d plugin from ci temporary
* test environment
* cannot save optimizer
* support chat template
* fix readme
* fix path
* test ci locally
* restore build_or_pr
* fix ci data path
* fix benchmark
* fix ci, move ci tests to 3080, disable fast tokenizer
* move ci to 85
* support flash attention 2
* add all-in-one data preparation script. Fix colossal-llama2-chat chat template
* add hardware requirements
* move ci test data
* fix save_model, add unwrap
* fix missing bos
* fix missing bos; support grad accumulation with gemini
* fix ci
* fix ci
* fix ci
* fix llama2 chat template config
* debug sft
* debug sft
* fix colossalai version requirement
* fix ci
* add sanity check to prevent NaN loss
* fix requirements
* add dummy data generation script
* add dummy data generation script
* add dummy data generation script
* add dummy data generation script
* update readme
* update readme
* update readme and ignore
* fix logger bug
* support parallel_output
* modify data preparation logic
* fix tokenization
* update lr
* fix inference
* run pre-commit
---------
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
* Use self.[distribute_layers|get_stage_index] to exploit custom layer distribution
* Change static methods for t5 layer distribution to member functions
* Change static methods for whisper layer distribution to member functions
* Replace whisper policy usage with self one
* Fix test case to use non-static layer distribution methods
* fix: fix typo
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* fix: simplify merge_batch
* fix: use return_outputs=False to eliminate extra memory consumption
* feat: add return_outputs warning
* style: remove `return_outputs=False` as it is the default value
yuehuayingxueluo