18d67d0e8e
[Feat]Inference RPC Server Support ( #5705 )
...
* rpc support source
* kv cache logical/physical disaggregation
* sampler refactor
* colossalai launch built in
* Unitest
* Rpyc support
---------
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7 months ago
50104ab340
[Inference/Feat] Add convert_fp8 op for fp8 test in the future ( #5706 )
...
* add convert_fp8 op for fp8 test in the future
* rerun ci
7 months ago
a3cc68ca93
[Shardformer] Support the Qwen2 model ( #5699 )
...
* feat: support qwen2 model
* fix: modify model config and add Qwen2RMSNorm
* fix qwen2 model conflicts
* test: add qwen2 shard test
* to: add qwen2 auto policy
* support qwen model
* fix the conflicts
* add try catch
* add transformers version for qwen2
* add the ColoAttention for the qwen2 model
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* add the unit test version check
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* fix the test input bug
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---------
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7 months ago
d4c5ef441e
[gemini]remove registered gradients hooks ( #5696 )
...
* fix gemini
fix gemini
* fix
fix
7 months ago
bc9063adf1
resolve rebase conflicts on Branch feat/online-serving
7 months ago
61a1b2e798
[Inference] Fix bugs and docs for feat/online-server ( #5598 )
...
* 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
7 months ago
c064032865
[Online Server] Chat Api for streaming and not streaming response ( #5470 )
...
* fix bugs
* fix bugs
* fix api server
* fix api server
* add chat api and test
* del request.n
7 months ago
de378cd2ab
[Inference] Finish Online Serving Test, add streaming output api, continuous batching test and example ( #5432 )
...
* finish online test and add examples
* fix test_contionus_batching
* fix some bugs
* fix bash
* fix
* fix inference
* finish revision
* fix typos
* revision
7 months ago
69cd7e069d
[Inference] ADD async and sync Api server using FastAPI ( #5396 )
...
* add api server
* fix
* add
* add completion service and fix bug
* add generation config
* revise shardformer
* fix bugs
* add docstrings and fix some bugs
* fix bugs and add choices for prompt template
7 months ago
9c2fe7935f
[Inference]Adapt temperature processing logic ( #5689 )
...
* Adapt temperature processing logic
* add ValueError for top_p and top_k
* add GQA Test
* fix except_msg
7 months ago
55cc7f3df7
[Fix] Fix Inference Example, Tests, and Requirements ( #5688 )
...
* clean requirements
* modify example inference struct
* add test ci scripts
* mark test_infer as submodule
* rm deprecated cls & deps
* import of HAS_FLASH_ATTN
* prune inference tests to be run
* prune triton kernel tests
* increment pytest timeout mins
* revert import path in openmoe
7 months ago
77ec773388
[zero]remove registered gradients hooks ( #5687 )
...
* remove registered hooks
fix
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fix
fix
fix
fix
fix zero
fix zero
fix
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fix
* fix
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fix
7 months ago
8754abae24
[Fix] Fix & Update Inference Tests (compatibility w/ main)
7 months ago
56ed09aba5
[sync] resolve conflicts of merging main
7 months ago
537a3cbc4d
[kernel] Support New KCache Layout - Triton Kernel ( #5677 )
...
* kvmemcpy triton for new kcache layout
* revise tests for new kcache layout
* naive triton flash decoding - new kcache layout
* rotary triton kernel - new kcache layout
* remove redundancy - triton decoding
* remove redundancy - triton kvcache copy
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7 months ago
5cd75ce4c7
[Inference/Kernel] refactor kvcache manager and rotary_embedding and kvcache_memcpy oper… ( #5663 )
...
* refactor kvcache manager and rotary_embedding and kvcache_memcpy operator
* refactor decode_kv_cache_memcpy
* enable alibi in pagedattention
7 months ago
5f00002e43
[Inference] Adapt Baichuan2-13B TP ( #5659 )
...
* adapt to baichuan2 13B
* add baichuan2 13B TP
* update baichuan tp logic
* rm unused code
* Fix TP logic
* fix alibi slopes tp logic
* rm nn.Module
* Polished the code.
* change BAICHUAN_MODEL_NAME_OR_PATH
* Modified the logic for loading Baichuan weights.
* fix typos
7 months ago
7f8b16635b
[misc] refactor launch API and tensor constructor ( #5666 )
...
* [misc] remove config arg from initialize
* [misc] remove old tensor contrusctor
* [plugin] add npu support for ddp
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* [devops] fix doc test ci
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---------
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7 months ago
91fa553775
[Feature] qlora support ( #5586 )
...
* [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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7 months ago
8954a0c2e2
[LowLevelZero] low level zero support lora ( #5153 )
...
* low level zero support lora
low level zero support lora
* add checkpoint test
* add checkpoint test
* fix
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* fix
* fix
fix
fix
fix
* fix
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Update low_level_zero_plugin.py
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fix
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fix
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7 months ago
14b0d4c7e5
[lora] add lora APIs for booster, support lora for TorchDDP ( #4981 )
...
* add apis and peft requirement
* add liscense and implement apis
* add checkpointio apis
* add torchddp fwd_bwd test
* add support_lora methods
* add checkpointio test and debug
* delete unneeded codes
* remove peft from LICENSE
* add concrete methods for enable_lora
* simplify enable_lora api
* fix requirements
7 months ago
5be590b99e
[kernel] Support new KCache Layout - Context Attention Triton Kernel ( #5658 )
...
* add context attn triton kernel - new kcache layout
* add benchmark triton
* tiny revise
* trivial - code style, comment
7 months ago
2082852f3f
[lazyinit] skip whisper test ( #5653 )
7 months ago
3c91e3f176
[Inference]Adapt to baichuan2 13B ( #5614 )
...
* adapt to baichuan2 13B
* adapt to baichuan2 13B
* change BAICHUAN_MODEL_NAME_OR_PATH
* fix test_decoding_attn.py
* Modifications based on review comments.
* change BAICHUAN_MODEL_NAME_OR_PATH
* mv attn mask processes to test flash decoding
* mv get_alibi_slopes baichuan modeling
* fix bugs in test_baichuan.py
7 months ago
f342a93871
[Fix] Remove obsolete files - inference ( #5650 )
7 months ago
1b387ca9fe
[shardformer] refactor pipeline grad ckpt config ( #5646 )
...
* [shardformer] refactor pipeline grad ckpt config
* [shardformer] refactor pipeline grad ckpt config
* [pipeline] fix stage manager
7 months ago
bbb2c21f16
[shardformer] fix chatglm implementation ( #5644 )
...
* [shardformer] fix chatglm policy
* [shardformer] fix chatglm flash attn
* [shardformer] update readme
* [shardformer] fix chatglm init
* [shardformer] fix chatglm test
* [pipeline] fix chatglm merge batch
7 months ago
a8fd3b0342
[Inference/Kernel] Optimize paged attention: Refactor key cache layout ( #5643 )
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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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7 months ago
148506c828
[coloattention]modify coloattention ( #5627 )
...
* modify coloattention
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix
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fxi
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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7 months ago
0d0a582033
[shardformer] update transformers ( #5583 )
...
* flash_attention forward upgrade
* llama_model_forward
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* add the transformers version requirements
* remove the LATEST VERSION try
* [shardformer] update bloom model (#5518 )
* update bloom model
* remove the version restriction
* [shardformer] update_falcon (#5520 )
* [shardformer] update mistral model (#5511 )
* [shardformer] update gpt2 (#5502 )
* [shardformer] update gptj model (#5503 )
* [shardformer] update opt (#5522 )
* [shardformer] update t5 model (#5524 )
* [shardformer] update whisper model (#5529 )
* [shardformer] update vit model (#5530 )
* update vit model
* remove the output_hidden_states
* [shardformer] fix llama modeling
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* [zero] support multiple (partial) backward passes (#5596 )
* [zero] support multiple (partial) backward passes
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* [zero] support multiple (partial) backward passes (#5596 )
* [zero] support multiple (partial) backward passes
* [misc] update requirements
* fix conflicts
* [doc] fix ColossalMoE readme (#5599 )
* fix readme
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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---------
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* merge with main
* merge with main
* llama_model_forward
* remove useless comment
* remove the LATEST VERSION try
* [shardformer] update bloom model (#5518 )
* update bloom model
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* [shardformer] update mistral model (#5511 )
* [shardformer] update opt (#5522 )
* [shardformer] update whisper model (#5529 )
* [shardformer] fix llama modeling
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* [hotfix] Fix examples no pad token & auto parallel codegen bug; (#5606 )
* fix no pad token bug
* fixed some auto parallel codegen bug, but might not run on torch 2.1
---------
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [shardformer] fix pipeline grad ckpt (#5620 )
* [shardformer] fix pipeline grad ckpt
* [shardformer] fix whisper (#5628 )
* [test] fix llama model test
* fix the opt upgrade (#5634 )
* [shardformer] fix attn replacement (#5636 )
* [shardformer] update flashattention replacement (#5637 )
* update transformers
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* [test] fix llama test (#5638 )
* [gemini] fix buffer cast (#5639 )
* Fix shardformer upgrade (#5640 )
* fix llama model
* fix the mistral
* fix the shardformer model
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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---------
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* [shardformer]support pipeline parallelism for mistral. (#5642 )
* [shardformer] fix attn replacement (#5636 )
* [shardformer] update flashattention replacement (#5637 )
* update transformers
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fix
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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---------
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* [Feature] Support LLaMA-3 CPT and ST (#5619 )
* support LLaMA-3
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* Run pre-commit
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* [exampe] update llama example (#5626 )
* [plugin] support dp inside for hybriad parallel
* [example] update llama benchmark
* [example] update llama benchmark
* [example] update llama readme
* [example] update llama readme
* [example] llama3 (#5631 )
* release llama3
* [release] llama3
* [release] llama3
* [release] llama3
* [release] llama3
* [test] fix llama test (#5638 )
* [gemini] fix buffer cast (#5639 )
* support pp for mistral
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---------
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
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---------
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu>
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
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Co-authored-by: Tong Li <tong.li352711588@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
7 months ago
12f10d5b0b
[Fix/Inference]Fix CUDA Rotary Rmbedding GQA ( #5623 )
...
* fix rotary embedding GQA
* change test_rotary_embdding_unpad.py KH
7 months ago
5d4c1fe8f5
[Fix/Inference] Fix GQA Triton and Support Llama3 ( #5624 )
...
* [fix] GQA calling of flash decoding triton
* fix kv cache alloc shape
* fix rotary triton - GQA
* fix sequence max length assigning
* Sequence max length logic
* fix scheduling and spec-dec
* skip without import error
* fix pytest - skip without ImportError
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
7 months ago
ccf72797e3
feat baichuan2 rmsnorm whose hidden size equals to 5120 ( #5611 )
7 months ago
e37ee2fb65
[Feat]Tensor Model Parallel Support For Inference ( #5563 )
...
* tensor parallel support naive source
* [fix]precision, model load and refactor the framework
* add tp unit test
* docstring
* fix do_sample
7 months ago
be396ad6cc
[Inference/Kernel] Add Paged Decoding kernel, sequence split within the same thread block ( #5531 )
...
* feat flash decoding for paged attention
* refactor flashdecodingattention
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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7 months ago
a0ad587c24
[shardformer] refactor embedding resize ( #5603 )
...
* [branch rebase] rebase main to Feature/resize_embedding (#5554 )
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* [hotfix] fix typo s/keywrods/keywords etc. (#5429 )
* [devops] fix compatibility (#5444 )
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* [hotfix] update compatibility test on pr
* [devops] fix compatibility
* [devops] record duration during comp test
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* fix falcon
* [shardformer] fix gathering output when using tensor parallelism (#5431 )
* fix
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padding vocab_size when using pipeline parallellism
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fix resize embedding
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* revert
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* [doc] release Open-Sora 1.0 with model weights (#5468 )
* [doc] release Open-Sora 1.0 with model weights
* [doc] release Open-Sora 1.0 with model weights
* [doc] release Open-Sora 1.0 with model weights
* [doc] update open-sora demo (#5479 )
* [doc] update open-sora demo
* [doc] update open-sora demo
* [doc] update open-sora demo
* [example] add grok-1 inference (#5485 )
* [misc] add submodule
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* [example] support grok-1 tp inference
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* [example] refactor code
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---------
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Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* [CI] run pre-commit (#5577 )
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* [release] update version (#5411 )
* [hotfix] fix typo s/keywrods/keywords etc. (#5429 )
* [devops] fix compatibility (#5444 )
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* [doc] release Open-Sora 1.0 with model weights (#5468 )
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* [doc] update open-sora demo (#5479 )
* [doc] update open-sora demo
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* [doc] update open-sora demo
* [example] add grok-1 inference (#5485 )
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---------
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* [rebase] rebase main to resize-embedding (#5581 )
* [release] grok-1 314b inference (#5490 )
* [release] grok-1 inference
* [release] grok-1 inference
* [release] grok-1 inference
* [example] update Grok-1 inference (#5495 )
* revise grok-1 example
* remove unused arg in scripts
* prevent re-installing torch
* update readme
* revert modifying colossalai requirements
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* add tokenizer url
* [hotfix] set return_outputs=False in examples and polish code (#5404 )
* 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
* [release] grok-1 inference benchmark (#5500 )
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [shardformer]Fix lm parallel. (#5480 )
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padding vocab_size when using pipeline parallellism
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* [fix] fix grok-1 example typo (#5506 )
* [devops] fix example test ci (#5504 )
* Fix ColoTensorSpec for py11 (#5440 )
* fixed layout converter caching and updated tester
* Empty-Commit
* [shardformer] update colo attention to support custom mask (#5510 )
* [feature] refactor colo attention (#5462 )
* [extension] update api
* [feature] add colo attention
* [feature] update sdpa
* [feature] update npu attention
* [feature] update flash-attn
* [test] add flash attn test
* [test] update flash attn test
* [shardformer] update modeling to fit colo attention (#5465 )
* [misc] refactor folder structure
* [shardformer] update llama flash-attn
* [shardformer] fix llama policy
* [devops] update tensornvme install
* [test] update llama test
* [shardformer] update colo attn kernel dispatch
* [shardformer] update blip2
* [shardformer] update chatglm
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* [shardformer] update opt
* [shardformer] update vit
* [shardformer] update colo attention mask prep
* [shardformer] update whisper
* [test] fix shardformer tests (#5514 )
* [test] fix shardformer tests
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Co-authored-by: github-actions <github-actions@github.com>
* [shardformer] fix pipeline forward error if custom layer distribution is used (#5189 )
* Use self.[distribute_layers|get_stage_index] to exploit custom layer distribution
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---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [Fix] Grok-1 use tokenizer from the same pretrained path (#5532 )
* [fix] use tokenizer from the same pretrained path
* trust remote code
* [ColossalChat] Update RLHF V2 (#5286 )
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* fix and tested ppo
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---------
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
* [shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508 )
* feat: add `GradientCheckpointConfig` and `PipelineGradientCheckpointConfig`
* feat: apply `GradientCheckpointConfig` to policy and llama_forward
* feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager
* fix: add optional args for `distribute_layer` and `get_stage_index`
* fix: fix changed API calls
* test: update llama tests
* style: polish `GradientCheckpointConfig`
* fix: fix pipeline utils tests
* fix incorrect sharding without zero (#5545 )
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [shardformer] Sequence Parallelism Optimization (#5533 )
* 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)
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* polish code (part 2.5)
* polish code (part 3)
* sequence parallel: inside text split
* miscellaneous minor fixes
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* sequence parallel: inside text split
* miscellaneous minor fixes
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* fix llama and gpt sp
* polish code
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* remove zero_stage and unbind the grad sync for alltoall sp
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* move ulysses grad sync to ddp
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---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
* [hotfix] quick fixes to make legacy tutorials runnable (#5559 )
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [fix] fix typo s/muiti-node /multi-node etc. (#5448 )
* [hotfix] fix typo s/get_defualt_parser /get_default_parser (#5548 )
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
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Co-authored-by: github-actions <github-actions@github.com>
Co-authored-by: Insu Jang <insujang@umich.edu>
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Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [shardformer]enable padding vocabulary size. (#5489 )
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for more information, see https://pre-commit.ci
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padding vocab_size when using pipeline parallellism
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
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for more information, see https://pre-commit.ci
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---------
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
7 months ago
56b222eff8
[inference/model]Adapted to the baichuan2-7B model ( #5591 )
...
* 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'
8 months ago
e60d430cf5
[Fix] resolve conflicts of rebasing feat/speculative-decoding ( #5557 )
...
- resolve conflicts of rebasing feat/speculative-decoding
8 months ago
d85d91435a
[Inference/SpecDec] Support GLIDE Drafter Model ( #5455 )
...
* add glide-llama policy and modeling
* update glide modeling, compitable with transformers 4.36.2
* revise glide llama modeling/usage
* fix issues of glimpsing large kv
* revise the way re-loading params for glide drafter
* fix drafter and engine tests
* enable convert to glide strict=False
* revise glide llama modeling
* revise vicuna prompt template
* revise drafter and tests
* apply usage of glide model in engine
8 months ago
a37f82629d
[Inference/SpecDec] Add Speculative Decoding Implementation ( #5423 )
...
* fix flash decoding mask during verification
* add spec-dec
* add test for spec-dec
* revise drafter init
* remove drafter sampling
* retire past kv in drafter
* (trivial) rename attrs
* (trivial) rename arg
* revise how we enable/disable spec-dec
8 months ago
5a9b05f7b2
[Inference/SpecDec] Add Basic Drafter Model Container ( #5405 )
...
* [Infer/Fix] Fix Dependency in test - RMSNorm kernel (#5399 )
fix dependency in pytest
* add drafter model container (basic ver)
8 months ago
d63c469f45
[Infer] Revise and Adapt Triton Kernels for Spec-Dec ( #5401 )
...
* [Infer/Fix] Fix Dependency in test - RMSNorm kernel (#5399 )
fix dependency in pytest
* resolve conflicts for revising flash-attn
* adapt kv cache copy kernel for spec-dec
* fix seqlen-n kvcache copy kernel/tests
* test kvcache copy - use torch.equal
* add assertions
* (trivial) comment out
8 months ago
ed5ebd1735
[Fix] resolve conflicts of merging main
8 months ago
641b1ee71a
[devops] remove post commit ci ( #5566 )
...
* [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>
8 months ago
8e412a548e
[shardformer] Sequence Parallelism Optimization ( #5533 )
...
* 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
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* fix llama and gpt sp
* polish code
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* move ulysses grad sync to ddp
* add 2d group creation test
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* add sp warnings for several model
* remove useless code
---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
8 months ago
04aca9e55b
[Inference/Kernel]Add get_cos_and_sin Kernel ( #5528 )
...
* Add get_cos_and_sin kernel
* fix code comments
* fix code typos
* merge common codes of get_cos_and_sin kernel.
* Fixed a typo
* Changed 'asset allclose' to 'assert equal'.
8 months ago
e614aa34f3
[shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama ( #5508 )
...
* feat: add `GradientCheckpointConfig` and `PipelineGradientCheckpointConfig`
* feat: apply `GradientCheckpointConfig` to policy and llama_forward
* feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager
* fix: add optional args for `distribute_layer` and `get_stage_index`
* fix: fix changed API calls
* test: update llama tests
* style: polish `GradientCheckpointConfig`
* fix: fix pipeline utils tests
8 months ago
00525f7772
[shardformer] fix pipeline forward error if custom layer distribution is used ( #5189 )
...
* 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>
8 months ago
19e1a5cf16
[shardformer] update colo attention to support custom mask ( #5510 )
...
* [feature] refactor colo attention (#5462 )
* [extension] update api
* [feature] add colo attention
* [feature] update sdpa
* [feature] update npu attention
* [feature] update flash-attn
* [test] add flash attn test
* [test] update flash attn test
* [shardformer] update modeling to fit colo attention (#5465 )
* [misc] refactor folder structure
* [shardformer] update llama flash-attn
* [shardformer] fix llama policy
* [devops] update tensornvme install
* [test] update llama test
* [shardformer] update colo attn kernel dispatch
* [shardformer] update blip2
* [shardformer] update chatglm
* [shardformer] update gpt2
* [shardformer] update gptj
* [shardformer] update opt
* [shardformer] update vit
* [shardformer] update colo attention mask prep
* [shardformer] update whisper
* [test] fix shardformer tests (#5514 )
* [test] fix shardformer tests
* [test] fix shardformer tests
8 months ago
61da3fbc52
fixed layout converter caching and updated tester
8 months ago
0688d92e2d
[shardformer]Fix lm parallel. ( #5480 )
...
* fix
* padding vocab_size when using pipeline parallellism
padding vocab_size when using pipeline parallellism
fix
fix
* fix
* fix
fix
fix
* fix gather output
* fix
* fix
* fix
fix resize embedding
fix resize embedding
* fix resize embedding
fix
* revert
* revert
* revert
* fix lm forward distribution
* fix
* test ci
* fix
8 months ago
68e9396bc0
[fix] merge conflicts
8 months ago
87079cffe8
[Inference]Support FP16/BF16 Flash Attention 2 And Add high_precision Flag To Rotary Embedding ( #5461 )
...
* Support FP16/BF16 Flash Attention 2
* fix bugs in test_kv_cache_memcpy.py
* add context_kv_cache_memcpy_kernel.cu
* rm typename MT
* add tail process
* add high_precision
* add high_precision to config.py
* rm unused code
* change the comment for the high_precision parameter
* update test_rotary_embdding_unpad.py
* fix vector_copy_utils.h
* add comment for self.high_precision when using float32
8 months ago
bb0a668fee
[hotfix] set return_outputs=False in examples and polish code ( #5404 )
...
* 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
8 months ago
9fe61b4475
[fix]
8 months ago
aabc9fb6aa
[feat] add use_cuda_kernel option
8 months ago
5e16bf7980
[shardformer] fix gathering output when using tensor parallelism ( #5431 )
...
* fix
* padding vocab_size when using pipeline parallellism
padding vocab_size when using pipeline parallellism
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* fix
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9 months ago
d02e257abd
Merge branch 'feature/colossal-infer' into colossal-infer-cuda-graph
9 months ago
ae24b4f025
diverse tests
9 months ago
1821a6dab0
[fix] pytest and fix dyn grid bug
9 months ago
f366a5ea1f
[Inference/kernel]Add Fused Rotary Embedding and KVCache Memcopy CUDA Kernel ( #5418 )
...
* add rotary embedding kernel
* add rotary_embedding_kernel
* add fused rotary_emb and kvcache memcopy
* add fused_rotary_emb_and_cache_kernel.cu
* add fused_rotary_emb_and_memcopy
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* fix code style
* fix test_rotary_embdding_unpad.py
* codes revised based on the review comments
* fix bugs about include path
* rm inline
9 months ago
ed431de4e4
fix rmsnorm template function invocation problem(template function partial specialization is not allowed in Cpp) and luckily pass e2e precision test ( #5454 )
9 months ago
f2e8b9ef9f
[devops] fix compatibility ( #5444 )
...
* [devops] fix compatibility
* [hotfix] update compatibility test on pr
* [devops] fix compatibility
* [devops] record duration during comp test
* [test] decrease test duration
* fix falcon
9 months ago
f7aecc0c6b
feat rmsnorm cuda kernel and add unittest, benchmark script ( #5417 )
9 months ago
95c21498d4
add silu_and_mul for infer
9 months ago
29695cf70c
[example]add gpt2 benchmark example script. ( #5295 )
...
* benchmark gpt2
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fix
* [doc] fix typo in Colossal-LLaMA-2/README.md (#5247 )
* [workflow] fixed build CI (#5240 )
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* [ci] fixed booster test (#5251 )
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed ddp test (#5254 )
* [ci] fixed ddp test
* polish
* fix typo in applications/ColossalEval/README.md (#5250 )
* [ci] fix shardformer tests. (#5255 )
* fix ci
fix
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [doc] fix doc typo (#5256 )
* [doc] fix annotation display
* [doc] fix llama2 doc
* [hotfix]: add pp sanity check and fix mbs arg (#5268 )
* fix: fix misleading mbs arg
* feat: add pp sanity check
* fix: fix 1f1b sanity check
* [workflow] fixed incomplete bash command (#5272 )
* [workflow] fixed oom tests (#5275 )
* [workflow] fixed oom tests
* polish
* polish
* polish
* [ci] fix test_hybrid_parallel_plugin_checkpoint_io.py (#5276 )
* fix ci
fix
* fix test
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
* fix
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [shardformer] hybridparallelplugin support gradients accumulation. (#5246 )
* support gradients acc
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fix
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fix
fix
fix
fix
fix
fix
fix
fix
fix
* fix
fix
* fix
fix
fix
* [hotfix] Fix ShardFormer test execution path when using sequence parallelism (#5230 )
* fix auto loading gpt2 tokenizer (#5279 )
* [doc] add llama2-13B disyplay (#5285 )
* Update README.md
* fix 13b typo
---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* fix llama pretrain (#5287 )
* fix
* fix
* fix
fix
* fix
fix
fix
* fix
fix
* benchmark gpt2
* fix
fix
fix
fix
* [workflow] fixed build CI (#5240 )
* [workflow] fixed build CI
* polish
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* polish
* polish
* polish
* [ci] fixed booster test (#5251 )
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed booster test
* fix
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* fix
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fix
* fix
* fix
fix
fix
fix
fix
* fix
* Update shardformer.py
---------
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: Michelle <97082656+MichelleMa8@users.noreply.github.com>
Co-authored-by: Desperado-Jia <502205863@qq.com>
9 months ago
0310b76e9d
Merge branch 'main' into sync/main
9 months ago
0aa27f1961
[Inference]Move benchmark-related code to the example directory. ( #5408 )
...
* move benchmark-related code to the example directory.
* fix bugs in test_fused_rotary_embedding.py
9 months ago
600881a8ea
[Inference]Add CUDA KVCache Kernel ( #5406 )
...
* 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
9 months ago
bf34c6fef6
[fsdp] impl save/load shard model/optimizer ( #5357 )
9 months ago
19061188c3
[Infer/Fix] Fix Dependency in test - RMSNorm kernel ( #5399 )
...
fix dependency in pytest
9 months ago
bc1da87366
[Fix/Inference] Fix format of input prompts and input model in inference engine ( #5395 )
...
* Fix bugs in inference_engine
* fix bugs in engine.py
* rm CUDA_VISIBLE_DEVICES
* add request_ids in generate
* fix bug in engine.py
* add logger.debug for BatchBucket
9 months ago
2a718c8be8
Optimized the execution interval time between cuda kernels caused by view and memcopy ( #5390 )
...
* opt_view_and_memcopy
* fix bugs in ci
* fix ci bugs
* update benchmark scripts
* fix ci bugs
9 months ago
730103819d
[Inference]Fused kv copy into rotary calculation ( #5383 )
...
* revise rotary embedding
* remove useless print
* adapt
* fix
* add
* fix
* modeling
* fix
* fix
* fix
* fused kv copy
* fused copy
* colossalai/kernel/triton/no_pad_rotary_embedding.py
* del padding llama
* del
9 months ago
b21aac5bae
[Inference] Optimize and Refactor Inference Batching/Scheduling ( #5367 )
...
* 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
9 months ago
06db94fbc9
[moe] fix tests
10 months ago
7d8e0338a4
[moe] init mixtral impl
10 months ago
1f8c7e7046
[Inference] User Experience: update the logic of default tokenizer and generation config. ( #5337 )
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* add
* fix
* fix
* pause
* fix
* fix pytest
* align
* fix
* license
* fix
* fix
* fix readme
* fix some bugs
* remove tokenizer config
10 months ago
6fb4bcbb24
[Inference/opt] Fused KVCahce Memcopy ( #5374 )
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* fused kv memcopy
* add TODO in test_kvcache_copy.py
10 months ago
58740b5f68
[inference] added inference template ( #5375 )
10 months ago
8106ede07f
Revert "[Inference] Adapt to Fused rotary ( #5348 )" ( #5373 )
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This reverts commit 9f4ab2eb92
10 months ago
9f4ab2eb92
[Inference] Adapt to Fused rotary ( #5348 )
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* revise rotary embedding
* remove useless print
* adapt
* fix
* add
* fix
* modeling
* fix
* fix
* fix
10 months ago
c53ddda88f
[lr-scheduler] fix load state dict and add test ( #5369 )
10 months ago
631862f339
[Inference]Optimize generation process of inference engine ( #5356 )
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* opt inference engine
* fix run_benchmark.sh
* fix generate in engine.py
* rollback tesh_inference_engine.py
10 months ago
1c790c0877
[fix] remove unnecessary dp_size assert ( #5351 )
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* fix: remove unnecessary assert
* test: add more 3d plugin tests
* fix: add warning
10 months ago
e76acbb076
[inference] moved ops tests to test_infer ( #5354 )
10 months ago
db1a763307
[inference] removed redundancy init_batch ( #5353 )
10 months ago
ffffc32dc7
[checkpointio] fix gemini and hybrid parallel optim checkpoint ( #5347 )
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* [checkpointio] fix hybrid parallel optim checkpoint
* [extension] fix cuda extension
* [checkpointio] fix gemini optimizer checkpoint
* polish code
10 months ago
249644c23b
[Inference]Repalce Attention layer and MLP layer by shardformer to optimize the weight transpose operation，add fused_qkv and fused linear_add ( #5340 )
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* add fused qkv
* replace attn and mlp by shardformer
* fix bugs in mlp
* add docstrings
* fix test_inference_engine.py
* add optimize unbind
* add fused_addmm
* rm squeeze(1)
* refactor codes
* fix ci bugs
* rename ShardFormerLlamaMLP and ShardFormerLlamaAttention
* Removed the dependency on LlamaFlashAttention2
* rollback test_inference_engine.py
10 months ago
f8e456d202
[inference] simplified config verification ( #5346 )
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* [inference] simplified config verification
* polish
* polish
10 months ago
df0aa49585
[Inference] Kernel Fusion, fused copy kv cache into rotary embedding ( #5336 )
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* revise rotary embedding
* remove useless print
* adapt
10 months ago
c565519913
merge commit
10 months ago
5f98a9d68a
[Infer] Optimize Blocked KVCache And Kernels Using It ( #5325 )
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* revise shape of kvcache (context attn kernel)
* revise shape of kvcache (flash decoding kernel)
* revise shape of kvcache (kvcache copy) and attn func
* init of kvcache in kvcache manager
* revise llama modeling
* revise block size retrieval
* use torch for rms_norm benchmarking
* revise block size retrieval
10 months ago
e8f0642f28
[Inference]Add Nopadding Llama Modeling ( #5327 )
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* add nopadding llama modeling
* add nopadding_llama.py
* rm unused codes
* fix bugs in test_xine_copy.py
* fix code style
10 months ago
1f8a75d470
[Inference] Update rms norm kernel, benchmark with vLLM ( #5315 )
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* add
* xi
* del
* del
* fix
10 months ago
7ddd8b37f0
fix ( #5311 )
10 months ago
4f28cb43c0
[inference]Optimize the usage of the mid tensors space in flash attn ( #5304 )
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* opt flash attn
* opt tmp tensor
* fix benchmark_llama
* fix code style
* fix None logic for output tensor
* fix adapted to get_xine_cache
* add comment
* fix ci bugs
* fix some codes
* rm duplicated codes
* rm duplicated codes
* fix code style
* add _get_dtype in config.py
10 months ago
7cfed5f076
[feat] refactored extension module ( #5298 )
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* [feat] refactored extension module
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
10 months ago
c647e00e3c
[Inference]Add fused rotary kernel and get cos cache kernel ( #5302 )
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* add fused rotary and get cos cache func
* staged
* fix bugs
* fix bugs
10 months ago
3da9993b0d
[Kernel/Fix] Revise flash attention triton kernel API and add benchmark ( #5301 )
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* fix decoding kernel pytest
* revise and add triton context attn benchmark
10 months ago
Runyu Lu