4de4e31818
[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
2024-04-23 14:12:20 +08:00
a0ad587c24
[shardformer] refactor embedding resize ( #5603 )
...
* [branch rebase] rebase main to Feature/resize_embedding (#5554 )
* fix
* [release] update version (#5411 )
* [hotfix] fix typo s/keywrods/keywords etc. (#5429 )
* [devops] fix compatibility (#5444 )
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padding vocab_size when using pipeline parallellism
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fix
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* fix
fix
fix
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* [doc] update open-sora demo
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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>
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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 )
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* remove unused arg in scripts
* prevent re-installing torch
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* [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
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* [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
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padding vocab_size when using pipeline parallellism
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fix
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* fix
fix
fix
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* [devops] fix example test ci (#5504 )
* Fix ColoTensorSpec for py11 (#5440 )
* fixed layout converter caching and updated tester
* Empty-Commit
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* [feature] refactor colo attention (#5462 )
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* [feature] add colo attention
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* [feature] update npu attention
* [feature] update flash-attn
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* [test] update flash attn test
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* [shardformer] update whisper
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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 )
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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
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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`
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* feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager
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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
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* support llama7B 128k with distributed attention
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* loose tensor checking atol and rtol
* add comment
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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>
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* [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>
---------
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>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>
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Co-authored-by: digger yu <digger-yu@outlook.com>
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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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: 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>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: Rocky Duan <dementrock@users.noreply.github.com>
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu>
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2024-04-18 16:10:18 +08:00
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
* 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>
2024-04-03 17:15:47 +08:00
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
2024-04-01 11:34:58 +08:00
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
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2024-03-25 12:31:09 +08:00
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
fix
fix
* fix
* fix
fix
fix
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* fix
* fix
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2024-03-18 15:55:11 +08:00
5e1c93d732
[hotfix] fix typo change MoECheckpintIO to MoECheckpointIO ( #5335 )
...
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
2024-03-05 21:52:30 +08:00
29695cf70c
[example]add gpt2 benchmark example script. ( #5295 )
...
* benchmark gpt2
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---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [doc] fix doc typo (#5256 )
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---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [shardformer] hybridparallelplugin support gradients accumulation. (#5246 )
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---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
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---------
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>
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2024-03-04 16:18:13 +08:00
6c0fa7b9a8
[llama] fix dataloader for hybrid parallel ( #5358 )
...
* [plugin] refactor prepare dataloader
* [plugin] update train script
2024-02-05 15:14:56 +08:00
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
2024-02-02 14:40:20 +08:00
148469348a
Merge branch 'main' into sync/npu
2024-01-18 12:05:21 +08:00
46e091651b
[shardformer] hybridparallelplugin support gradients accumulation. ( #5246 )
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* support gradients acc
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
* fix
fix
* fix
fix
fix
2024-01-17 15:22:33 +08:00
e830ef917d
[ci] fix shardformer tests. ( #5255 )
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* fix ci
fix
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
2024-01-11 19:07:45 +08:00
d202cc28c0
[npu] change device to accelerator api ( #5239 )
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* update accelerator
* fix timer
* fix amp
* update
* fix
* update bug
* add error raise
* fix autocast
* fix set device
* remove doc accelerator
* update doc
* update doc
* update doc
* use nullcontext
* update cpu
* update null context
* change time limit for example
* udpate
* update
* update
* update
* [npu] polish accelerator code
---------
Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
Co-authored-by: zxl <43881818+oahzxl@users.noreply.github.com>
2024-01-09 10:20:05 +08:00
365671be10
fix-test ( #5210 )
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fix-test
fix-test
2024-01-03 14:26:13 +08:00
d799a3088f
[pipeline]: add p2p fallback order and fix interleaved pp deadlock ( #5214 )
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* fix: add fallback order option and update 1f1b
* fix: fix deadlock comm in interleaved pp
* test: modify p2p test
2024-01-03 11:34:49 +08:00
4fa689fca1
[pipeline]: fix p2p comm, add metadata cache and support llama interleaved pp ( #5134 )
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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
* fix: make send and receive atomic
* feat: update P2PComm fn
* feat: add metadata cache in 1f1b
* feat: add metadata cache in interleaved pp
* feat: modify is_xx_stage fn
* revert: add _broadcast_object_list
* feat: add interleaved pp in llama policy
* feat: set NCCL_BUFFSIZE in HybridParallelPlugin
2023-12-22 10:44:00 +08:00
2a2ec49aa7
[plugin]fix 3d checkpoint load when booster boost without optimizer. ( #5135 )
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* fix 3d checkpoint load when booster boost without optimizer
fix 3d checkpoint load when booster boost without optimizer
* test ci
* revert ci
* fix
fix
2023-11-30 18:37:47 +08:00
d10ee42f68
[format] applied code formatting on changed files in pull request 5088 ( #5127 )
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Co-authored-by: github-actions <github-actions@github.com>
2023-11-29 13:38:37 +08:00
7172459e74
[shardformer]: support gpt-j, falcon, Mistral and add interleaved pipeline for bert ( #5088 )
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* [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 )
---------
Co-authored-by: Pengtai Xu <henryxu880@gmail.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
Co-authored-by: flybird11111 <1829166702@qq.com>
Co-authored-by: eric8607242 <e0928021388@gmail.com>
2023-11-28 16:54:42 +08:00
3acbf6d496
[npu] add npu support for hybrid plugin and llama ( #5090 )
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* llama 3d
* update
* fix autocast
2023-11-22 19:23:21 +08:00
1a3315e336
[hotfix] Add layer norm gradients all-reduce for sequence parallel ( #4926 )
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* [hotfix] Add layer norm gradients all-reduce for sequence parallel. (#4915 )
* Add layer norm gradients all-reduce for sequence parallel.
* skip pipeline inference test
* [hotfix] fixing polices of sequence parallel (#4922 )
* Add layer norm gradients all-reduce for sequence parallel.
* fix parameter passing when calling get_autopolicy
---------
Co-authored-by: littsk <1214689160@qq.com>
* Hotfix/add grad all reduce for sequence parallel (#4927 )
* Add layer norm gradients all-reduce for sequence parallel.
* fix parameter passing when calling get_autopolicy
* fix bug using wrong variables
---------
Co-authored-by: littsk <1214689160@qq.com>
* fix policy initialization
* fix bloom and chatglm policices
* polish code of handling layernorm
* fix moe module
* polish code of class initializing
---------
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
2023-11-03 13:32:43 +08:00
a0684e7bd6
[feature] support no master weights option for low level zero plugin ( #4816 )
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* [feature] support no master weights for low level zero plugin
* [feature] support no master weights for low level zero plugin, remove data copy when no master weights
* remove data copy and typecasting when no master weights
* not load weights to cpu when using no master weights
* fix grad: use fp16 grad when no master weights
* only do not update working param when no master weights
* fix: only do not update working param when no master weights
* fix: passing params in dict format in hybrid plugin
* fix: remove extra params (tp_process_group) in hybrid_parallel_plugin
2023-10-13 07:57:45 +00:00
83b52c56cd
[feature] Add clip_grad_norm for hybrid_parallel_plugin ( #4837 )
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* Add clip_grad_norm for hibrid_parallel_plugin
* polish code
* add unittests
* Move tp to a higher-level optimizer interface.
* bug fix
* polish code
2023-10-12 11:32:37 +08:00
a2db75546d
[doc] polish shardformer doc ( #4779 )
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* fix example format in docstring
* polish shardformer doc
2023-09-26 10:57:47 +08:00
c0a033700c
[shardformer] fix master param sync for hybrid plugin/rewrite unwrapping logic ( #4758 )
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* fix master param sync for hybrid plugin
* rewrite unwrap for ddp/fsdp
* rewrite unwrap for zero/gemini
* rewrite unwrap for hybrid plugin
* fix geemini unwrap
* fix bugs
2023-09-20 18:29:37 +08:00
079bf3cb26
[misc] update pre-commit and run all files ( #4752 )
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* [misc] update pre-commit
* [misc] run pre-commit
* [misc] remove useless configuration files
* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
ac2797996b
[shardformer] add custom policy in hybrid parallel plugin ( #4718 )
...
* add custom policy
* update assert
2023-09-15 17:53:13 +08:00
f911d5b09d
[doc] Add user document for Shardformer ( #4702 )
...
* create shardformer doc files
* add docstring for seq-parallel
* update ShardConfig docstring
* add links to llama example
* add outdated massage
* finish introduction & supporting information
* finish 'how shardformer works'
* finish shardformer.md English doc
* fix doctest fail
* add Chinese document
2023-09-15 10:56:39 +08:00
d8ceeac14e
[hotfix] fix typo in hybrid parallel io ( #4697 )
2023-09-12 17:32:19 +08:00
660eed9124
[pipeline] set optimizer to optional in execute_pipeline ( #4630 )
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* set optimizer to optional in execute_pipeline
* arrange device and mixed precision in booster init
* fix execute_pipeline in booster.py
2023-09-07 10:42:59 +08:00
86d22581e4
[shardformer] Add overlap optional for HybridParallelPlugin ( #4615 )
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* add optional overlap for plugin
* remove fixed todo
2023-09-05 11:52:23 +08:00
0a94fcd351
[shardformer] update bert finetune example with HybridParallelPlugin ( #4584 )
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* [shardformer] fix opt test hanging
* fix
* test
* test
* test
* fix test
* fix test
* remove print
* add fix
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] fix epoch change
* [shardformer] broadcast add pp group
* [shardformer] fix opt test hanging
* fix
* test
* test
* [shardformer] zero1+pp and the corresponding tests (#4517 )
* pause
* finish pp+zero1
* Update test_shard_vit.py
* [shardformer/fix overlap bug] fix overlap bug, add overlap as an option in shardco… (#4516 )
* fix overlap bug and support bert, add overlap as an option in shardconfig
* support overlap for chatglm and bloom
* [shardformer] fix emerged bugs after updating transformers (#4526 )
* test
* fix test
* fix test
* remove print
* add fix
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] Add overlap support for gpt2 (#4535 )
* add overlap support for gpt2
* remove unused code
* remove unused code
* [shardformer] support pp+tp+zero1 tests (#4531 )
* [shardformer] fix opt test hanging
* fix
* test
* test
* test
* fix test
* fix test
* remove print
* add fix
* [shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] fix submodule replacement bug when enabling pp (#4544 )
* [shardformer] support sharded optimizer checkpointIO of HybridParallelPlugin (#4540 )
* implement sharded optimizer saving
* add more param info
* finish implementation of sharded optimizer saving
* fix bugs in optimizer sharded saving
* add pp+zero test
* param group loading
* greedy loading of optimizer
* fix bug when loading
* implement optimizer sharded saving
* add optimizer test & arrange checkpointIO utils
* fix gemini sharding state_dict
* add verbose option
* add loading of master params
* fix typehint
* fix master/working mapping in fp16 amp
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] fix epoch change
* [shardformer] broadcast add pp group
* rebase feature/shardformer
* update pipeline
* [shardformer] fix
* [shardformer] fix
* [shardformer] bert finetune fix
* [shardformer] add all_reduce operation to loss
add all_reduce operation to loss
* [shardformer] make compatible with pytree.
make compatible with pytree.
* [shardformer] disable tp
disable tp
* [shardformer] add 3d plugin to ci test
* [shardformer] update num_microbatches to None
* [shardformer] update microbatchsize
* [shardformer] update assert
* update scheduler
* update scheduler
---------
Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com>
Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: Baizhou Zhang <eddiezhang@pku.edu.cn>
2023-09-04 21:46:29 +08:00
508ca36fe3
[pipeline] 1f1b schedule receive microbatch size ( #4589 )
2023-09-01 21:45:14 +08:00
38ccb8b1a3
[shardformer] support from_pretrained when loading model with HybridParallelPlugin ( #4575 )
...
* hybrid plugin support huggingface from_pretrained
* add huggingface compatibility tests
* add folder cleaning
* fix bugs
2023-09-01 17:40:01 +08:00
c9625dbb63
[shardformer] support sharded optimizer checkpointIO of HybridParallelPlugin ( #4540 )
...
* implement sharded optimizer saving
* add more param info
* finish implementation of sharded optimizer saving
* fix bugs in optimizer sharded saving
* add pp+zero test
* param group loading
* greedy loading of optimizer
* fix bug when loading
* implement optimizer sharded saving
* add optimizer test & arrange checkpointIO utils
* fix gemini sharding state_dict
* add verbose option
* add loading of master params
* fix typehint
* fix master/working mapping in fp16 amp
2023-08-31 14:50:47 +08:00
44eab2b27f
[shardformer] support sharded checkpoint IO for models of HybridParallelPlugin ( #4506 )
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* 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
2023-08-25 22:04:57 +08:00
1c7df566e2
[shardformer] support tp+zero for shardformer ( #4472 )
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* support tp+zero/input type cast for hybridplugin
* add tp+zero tests
* fix bucket arguments
2023-08-21 12:04:52 +08:00
7c8be77081
[shardformer/sequence parallel] support gpt2 seq parallel with pp/dp/tp ( #4460 )
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* support gpt2 seq parallel with pp/dp/tp
* fix a bug when waiting for stream done
* delete unused gpt2_seq file
2023-08-18 11:21:53 +08:00
6ef33f75aa
[shardformer] support DDP in HybridPlugin/add tp+dp tests ( #4446 )
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* support DDP for HybridPlugin/add tp+dp tests
* add docstring for HybridParallelPlugin
2023-08-16 16:11:57 +08:00
424629fea0
[shardformer/sequence parallel] Cherry pick commit to new branch ( #4450 )
...
* [shardformer/sequence parallel] Support sequence parallel for gpt2 (#4384 )
* [sequence parallel] add sequence parallel linear col/row support (#4336 )
* add sequence parallel linear col/row support
* add annotation
* add annotation
* add support for gpt2 fused qkv linear layer
* support sequence parallel in GPT2
* add docstring and note
* add requirments
* remove unused flash-attb
* modify flash attn test
* modify flash attn setting
* modify flash attn code
* add assert before divide, rename forward function
* [shardformer/test] fix gpt2 test with seq-parallel
* [shardformer/sequence parallel] Overlap input gather and grad computation during col backward (#4401 )
* overlap gather input / grad computing during col backward
* modify test for overlap
* simplify code
* fix code and modify cuda stream synchronize
* [shardformer/sequence parallel] polish code
2023-08-16 15:41:20 +08:00
d2cd48e0be
[shardformer] test all optimizations ( #4399 )
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[shardformer] test all optimizations
[shardformer] test all optimizations
[shardformer] test all optimizations
2023-08-15 23:25:14 +08:00
ed4c448488
[pipeline] rewrite t5 tests & support multi-tensor transmitting in pipeline ( #4388 )
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* fix remaining t5 bugs/rewrite t5 tests
* fix multi-tensor communication in pipeline
* rearrange test_config
* fix keyerror in sync_shared_params
* fix get_held_layers & Randomnizer, complete t5 tests
* erase printing
* fix get_held_layers through modifying _release_unheld_layers
* fix _get_recursive_held_layers bug
2023-08-15 23:25:14 +08:00
b1feeced8e
[shardformer] add util functions for shardformer tests/fix sync_shared_param ( #4366 )
...
* add util functions for shardformer tests & rewrite gpt2 test
* fix shared_params & embedding/merging
* fix precision
2023-08-15 23:25:14 +08:00
0ceec8f9a9
[pipeline] support fp32 for HybridPlugin/merge shardformer test and pipeline test into one file ( #4354 )
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* add naive optimizer for 3DPlugin/refactor gpt2 shardformer test
* merge tests of PP/DP/TP combinations into one test file
* fix bug when sync grad for dp in HybridPlugin
* update supported precisions for 3DPlugin/fix bug when shifting tp_degree
* improve the passing of lazy_init
* modify lazy_init/use sync_shared_params
2023-08-15 23:25:14 +08:00
261eab02fb
[plugin] add 3d parallel plugin ( #4295 )
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* [amp] add mixed precision optimizer
* [plugin] add 3d parallel plugin
* [booster] support pipeline
* [plugin] 3d parallel plugin support clip grad norm
* [shardformer] fix sharder and add plugin test
* [plugin] rename 3d parallel plugin
* [ci] support testmon core pkg change detection (#4305 )
* [hotfix] debug testmon
* [hotfix] fix llama
* [hotfix] fix p2p bugs
* [hotfix] fix requirements
2023-08-15 23:25:14 +08:00
Hongxin Liu