537f6a3855
[Shardformer]fix the num_heads assert for llama model and qwen model ( #5704 )
...
* fix the num_heads assert
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---------
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2024-05-10 15:33:39 +08:00
a3cc68ca93
[Shardformer] Support the Qwen2 model ( #5699 )
...
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---------
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-05-09 20:04:25 +08:00
d4c5ef441e
[gemini]remove registered gradients hooks ( #5696 )
...
* fix gemini
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2024-05-09 10:29:49 +08:00
22297789ab
Merge pull request #5684 from wangbluo/parallel_output
...
[Shardformer] Add Parallel output for shardformer models
2024-05-07 22:59:42 -05:00
4e50cce26b
fix the mistral model
2024-05-07 09:17:56 +00:00
a8408b4d31
remove comment code
2024-05-07 07:08:56 +00:00
ca56b93d83
[pre-commit.ci] auto fixes from pre-commit.com hooks
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2024-05-07 07:07:09 +00:00
108ddfb795
add parallel_output for the opt model
2024-05-07 07:05:53 +00:00
88f057ce7c
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2024-05-07 07:03:47 +00:00
77ec773388
[zero]remove registered gradients hooks ( #5687 )
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2024-05-07 12:01:38 +08:00
2632916329
remove useless code
2024-05-01 09:23:43 +00:00
9efc79ef24
add parallel output for mistral model
2024-04-30 08:10:20 +00:00
d3f34ee8cc
[Shardformer] add assert for num of attention heads divisible by tp_size ( #5670 )
...
* add assert for num of attention heads divisible by tp_size
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2024-04-29 18:47:47 +08:00
6af6d6fc9f
[shardformer] support bias_gelu_jit_fused for models ( #5647 )
...
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2024-04-29 15:33:51 +08:00
7f8b16635b
[misc] refactor launch API and tensor constructor ( #5666 )
...
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2024-04-29 10:40:11 +08:00
91fa553775
[Feature] qlora support ( #5586 )
...
* [feature] qlora support
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2024-04-28 10:51:27 +08:00
8954a0c2e2
[LowLevelZero] low level zero support lora ( #5153 )
...
* low level zero support lora
low level zero support lora
* add checkpoint test
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* fix
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* fix
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Update low_level_zero_plugin.py
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2024-04-28 10:51:27 +08:00
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
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* remove peft from LICENSE
* add concrete methods for enable_lora
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2024-04-28 10:51:27 +08:00
8b7d535977
fix gptj ( #5652 )
2024-04-26 11:52:27 +08:00
1b387ca9fe
[shardformer] refactor pipeline grad ckpt config ( #5646 )
...
* [shardformer] refactor pipeline grad ckpt config
* [shardformer] refactor pipeline grad ckpt config
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2024-04-25 15:19:30 +08:00
7ef91606e1
[Fix]: implement thread-safety singleton to avoid deadlock for very large-scale training scenarios ( #5625 )
...
* implement thread-safety singleton
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2024-04-25 14:45:52 +08:00
bbb2c21f16
[shardformer] fix chatglm implementation ( #5644 )
...
* [shardformer] fix chatglm policy
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* [shardformer] update readme
* [shardformer] fix chatglm init
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2024-04-25 14:41:17 +08:00
5d88ef1aaf
[shardformer] remove useless code ( #5645 )
2024-04-25 13:46:39 +08:00
148506c828
[coloattention]modify coloattention ( #5627 )
...
* modify coloattention
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fxi
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2024-04-25 10:47:14 +08:00
7ee569b05f
[hotfix] Fixed fused layernorm bug without apex ( #5609 )
...
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-04-24 23:04:06 +08:00
0d0a582033
[shardformer] update transformers ( #5583 )
...
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* [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
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* [zero] support multiple (partial) backward passes (#5596 )
* [zero] support multiple (partial) backward passes
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* merge with main
* merge with main
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* [hotfix] Fix examples no pad token & auto parallel codegen bug; (#5606 )
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---------
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 )
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* update transformers
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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>
* [test] fix llama test (#5638 )
* [gemini] fix buffer cast (#5639 )
* Fix shardformer upgrade (#5640 )
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for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [shardformer]support pipeline parallelism for mistral. (#5642 )
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Feature] Support LLaMA-3 CPT and ST (#5619 )
* support LLaMA-3
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [exampe] update llama example (#5626 )
* [plugin] support dp inside for hybriad parallel
* [example] update llama benchmark
* [example] update llama benchmark
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* [example] update llama readme
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* [gemini] fix buffer cast (#5639 )
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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>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
---------
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: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu>
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: flybird11111 <1829166702@qq.com>
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
2024-04-24 22:51:50 +08:00
4de4e31818
[exampe] update llama example ( #5626 )
...
* [plugin] support dp inside for hybriad parallel
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* [example] update llama benchmark
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2024-04-23 14:12:20 +08:00
e094933da1
[shardformer] fix pipeline grad ckpt ( #5620 )
...
* [shardformer] fix pipeline grad ckpt
2024-04-22 11:25:39 +08:00
d83c633ca6
[hotfix] Fix examples no pad token & auto parallel codegen bug; ( #5606 )
...
* fix no pad token bug
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---------
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
2024-04-18 18:15:50 +08:00
a0ad587c24
[shardformer] refactor embedding resize ( #5603 )
...
* [branch rebase] rebase main to Feature/resize_embedding (#5554 )
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* [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
* fix
* fix
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* revert
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* [doc] release Open-Sora 1.0 with model weights (#5468 )
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* [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
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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>
* [CI] run pre-commit (#5577 )
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padding vocab_size when using pipeline parallellism
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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 )
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* [doc] update open-sora demo
* [doc] update open-sora demo
* [example] add grok-1 inference (#5485 )
* [misc] add submodule
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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
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* [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
* add perf
* trivial
* 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
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* [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
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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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* Replace whisper policy usage with self one
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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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---------
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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* fix: fix changed API calls
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* 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 )
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* fix pp bugs and sp bugs for LlaMa model
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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
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* 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
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* 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 )
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* support llama7B 128k with distributed attention
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* fix sp compatability
* refactor ring implementation
* support mode 2 sp in gpt2
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* automatically enable flash attn when using sp mode 2 and 3 in llama
* inplace attn mask
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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>
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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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* [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>
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2024-04-18 16:10:18 +08:00
3788fefc7a
[zero] support multiple (partial) backward passes ( #5596 )
...
* [zero] support multiple (partial) backward passes
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2024-04-16 17:49:21 +08:00
641b1ee71a
[devops] remove post commit ci ( #5566 )
...
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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>
2024-04-08 15:09:40 +08:00
15055f9a36
[hotfix] quick fixes to make legacy tutorials runnable ( #5559 )
...
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
2024-04-07 12:06:27 +08:00
8e412a548e
[shardformer] Sequence Parallelism Optimization ( #5533 )
...
* sequence parallel optimization
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* 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
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* clarify sp process group
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* fix linear layer test
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* 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
* 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
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---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
2024-04-03 17:15:47 +08:00
7e0ec5a85c
fix incorrect sharding without zero ( #5545 )
...
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
2024-04-02 20:11:18 +08:00
e614aa34f3
[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
* fix: add optional args for `distribute_layer` and `get_stage_index`
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* test: update llama tests
* style: polish `GradientCheckpointConfig`
* fix: fix pipeline utils tests
2024-04-01 11:34:58 +08:00
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
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---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
2024-03-27 13:57:00 +08:00
e6707a6e8d
[format] applied code formatting on changed files in pull request 5510 ( #5517 )
...
Co-authored-by: github-actions <github-actions@github.com>
2024-03-27 11:21:03 +08:00
19e1a5cf16
[shardformer] update colo attention to support custom mask ( #5510 )
...
* [feature] refactor colo attention (#5462 )
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2024-03-27 11:19:32 +08:00
9a3321e9f4
Merge pull request #5515 from Edenzzzz/fix_layout_convert
...
Fix layout convertor caching
2024-03-26 19:51:02 +08:00
61da3fbc52
fixed layout converter caching and updated tester
2024-03-26 17:22:27 +08:00
cbe34c557c
Fix ColoTensorSpec for py11 ( #5440 )
2024-03-26 15:56:49 +08:00
0688d92e2d
[shardformer]Fix lm parallel. ( #5480 )
...
* fix
* padding vocab_size when using pipeline parallellism
padding vocab_size when using pipeline parallellism
fix
fix
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* fix
fix
fix
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2024-03-25 17:21:51 +08:00
bb0a668fee
[hotfix] set return_outputs=False in examples and polish code ( #5404 )
...
* fix: simplify merge_batch
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* feat: add return_outputs warning
* style: remove `return_outputs=False` as it is the default value
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
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* fix
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2024-03-18 15:55:11 +08:00
f2e8b9ef9f
[devops] fix compatibility ( #5444 )
...
* [devops] fix compatibility
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* [test] decrease test duration
* fix falcon
2024-03-13 15:24:13 +08:00
385e85afd4
[hotfix] fix typo s/keywrods/keywords etc. ( #5429 )
2024-03-12 11:25:16 +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
049121d19d
[hotfix] fix typo change enabel to enable under colossalai/shardformer/ ( #5317 )
2024-03-05 21:48:46 +08:00
16c96d4d8c
[hotfix] fix typo change _descrption to _description ( #5331 )
2024-03-05 21:47:48 +08:00
Wang Binluo