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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [feature] qlora support
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* qlora follow commit
* migrate qutization folder to colossalai/
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* minor fixes
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* implement thread-safety singleton
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* refactor singleton implementation
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* optimize flashdecodingattention: refactor code with different key cache layout(from [num_blocks, num_kv_heads, block_size, head_size] to [num_blocks, num_kv_heads, head_size/x, block_size, x])
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* modify coloattention
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* fix
* fix
* fix
fxi
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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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* feat flash decoding for paged attention
* refactor flashdecodingattention
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* 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
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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
---------
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>
* 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
* [devops] fix compatibility
* [hotfix] update compatibility test on pr
* [devops] fix compatibility
* [devops] record duration during comp test
* [test] decrease test duration
* fix falcon
* add cuda KVCache kernel
* annotation benchmark_kvcache_copy
* add use cuda
* fix import path
* move benchmark scripts to example/
* rm benchmark codes in test_kv_cache_memcpy.py
* rm redundancy codes
* rm redundancy codes
* pr was modified according to the review
* add kvcache manager funcs for batching
* add batch bucket for batching
* revise RunningList struct in handler
* add kvcache/batch funcs for compatibility
* use new batching methods
* fix indexing bugs
* revise abort logic
* use cpu seq lengths/block tables
* rm unused attr in Sequence
* fix type conversion/default arg
* add and revise pytests
* revise pytests, rm unused tests
* rm unused statements
* fix pop finished indexing issue
* fix: use index in batch when retrieving inputs/update seqs
* use dict instead of odict in batch struct
* arg type hinting
* fix make compress
* refine comments
* fix: pop_n_seqs to pop the first n seqs
* add check in request handler
* remove redundant conversion
* fix test for request handler
* fix pop method in batch bucket
* fix prefill adding
* fused the gate and up proj in mlp
* fix code styles
* opt auto_grad
* rollback test_inference_engine.py
* modifications based on the review feedback.
* fix bugs in flash attn
* Change reshape to view
* fix test_rmsnorm_triton.py
Hanks