2e28c793ce
[compatibility] support torch 2.2 ( #5875 )
...
* Support Pytorch 2.2.2
* keep build_on_pr file and update .compatibility
2024-07-16 13:59:25 +08:00
45c49dde96
[Auto Parallel]: Speed up intra-op plan generation by 44% ( #5446 )
...
* Remove unnecessary calls to deepcopy
* Build DimSpec's difference dict only once
This change considerably speeds up construction speed of DimSpec objects. The difference_dict is the same for each DimSpec object, so a single copy of it is enough.
* Fix documentation of DimSpec's difference method
2024-07-15 12:05:06 +08:00
43995ee436
[Feature] Distributed optimizers: Lamb, Galore, CAME and Adafactor ( #5694 )
...
* [feat] Add distributed lamb; minor fixes in DeviceMesh (#5476 )
* init: add dist lamb; add debiasing for lamb
* dist lamb tester mostly done
* all tests passed
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---------
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [hotfix] Improve tester precision by removing ZeRO on vanilla lamb (#5576 )
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [optim] add distributed came (#5526 )
* test CAME under LowLevelZeroOptimizer wrapper
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* minor fix of test came
* minor fix of dist_came and test
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [optim] Distributed Adafactor (#5484 )
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* [fix] Also remove state movement in base adafactor;
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* [fix] fix use zero logic;
* [feature] add row residue logic in column parallel factor;
* [feature] add check optim state func;
* [feature] Remove duplicate logic;
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* [fix] Add use_zero check in _rms; Add plugin support info in Readme; Add Dist Adafactor init Info;
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* [Feature] refractor dist came; fix percision error; add low level zero test with bert model zoo; (#5676 )
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* [Feature] Add Galore (Adam, Adafactor) and distributed GaloreAdamW8bit (#5570 )
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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2024-05-14 13:52:45 +08:00
7f8b16635b
[misc] refactor launch API and tensor constructor ( #5666 )
...
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2024-04-29 10:40:11 +08:00
a0ad587c24
[shardformer] refactor embedding resize ( #5603 )
...
* [branch rebase] rebase main to Feature/resize_embedding (#5554 )
* fix
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* [devops] fix compatibility (#5444 )
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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
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* [release] grok-1 inference
* [example] update Grok-1 inference (#5495 )
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* prevent re-installing torch
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* trivial
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* 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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* [fix] fix grok-1 example typo (#5506 )
* [devops] fix example test ci (#5504 )
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* fixed layout converter caching and updated tester
* Empty-Commit
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* [feature] refactor colo attention (#5462 )
* [extension] update api
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* [feature] update sdpa
* [feature] update npu attention
* [feature] update flash-attn
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* [test] update flash attn test
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* [misc] refactor folder structure
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* [devops] update tensornvme install
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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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* Change static methods for whisper layer distribution to member functions
* 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
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* add ci tests
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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
* 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
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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
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* clarify sp process group
* fix compatibility bugs in moe plugin
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* 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 )
* [shardformer] add megatron sp to llama
* support llama7B 128k with distributed attention
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Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>
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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
641b1ee71a
[devops] remove post commit ci ( #5566 )
...
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2024-04-08 15:09:40 +08:00
61da3fbc52
fixed layout converter caching and updated tester
2024-03-26 17:22:27 +08:00
bce9499ed3
fix some typo ( #5307 )
2024-01-25 13:56:27 +08:00
126cf180bc
[hotfix] fixed memory usage of shardformer module replacement ( #5122 )
2023-11-28 15:38:26 +08:00
576a2f7b10
[gemini] gemini support tensor parallelism. ( #4942 )
...
* [colossalai]fix typo
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* rename file name
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* catch smoothquant cuda lib exception
* prcocess exception for tests
* [inference] add llama mlp for smoothquant (#4854 )
* add llama mlp for smoothquant
* fix down out scale
* remove duplicate lines
* add llama mlp check
* delete useless code
* [inference] add smoothquant llama (#4861 )
* add smoothquant llama
* fix attention accuracy
* fix accuracy
* add kv cache and save pretrained
* refactor example
* delete smooth
* refactor code
* [inference] add smooth function and delete useless code for smoothquant (#4895 )
* add smooth function and delete useless code
* update datasets
* remove duplicate import
* delete useless file
* refactor codes (#4902 )
* rafactor code
* add license
* add torch-int and smoothquant license
* Update flash_attention_patch.py
To be compatible with the new change in the Transformers library, where a new argument 'padding_mask' was added to forward function of attention layer.
https://github.com/huggingface/transformers/pull/25598
* [kernel] support pure fp16 for cpu adam and update gemini optim tests (#4921 )
* [kernel] support pure fp16 for cpu adam (#4896 )
* [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919 )
* [kernel] fix cpu adam
* [test] update gemini optim test
* [format] applied code formatting on changed files in pull request 4908 (#4918 )
Co-authored-by: github-actions <github-actions@github.com>
* [gemini] support gradient accumulation (#4869 )
* add test
* fix no_sync bug in low level zero plugin
* fix test
* add argument for grad accum
* add grad accum in backward hook for gemini
* finish implementation, rewrite tests
* fix test
* skip stuck model in low level zero test
* update doc
* optimize communication & fix gradient checkpoint
* modify doc
* cleaning codes
* update cpu adam fp16 case
* [hotfix] fix torch 2.0 compatibility (#4936 )
* [hotfix] fix launch
* [test] fix test gemini optim
* [shardformer] fix vit
* [test] add no master test for low level zero plugin (#4934 )
* [format] applied code formatting on changed files in pull request 4820 (#4886 )
Co-authored-by: github-actions <github-actions@github.com>
* [nfc] fix some typo with colossalai/ docs/ etc. (#4920 )
* [Refactor] Integrated some lightllm kernels into token-attention (#4946 )
* add some req for inference
* clean codes
* add codes
* add some lightllm deps
* clean codes
* hello
* delete rms files
* add some comments
* add comments
* add doc
* add lightllm deps
* add lightllm cahtglm2 kernels
* add lightllm cahtglm2 kernels
* replace rotary embedding with lightllm kernel
* add some commnets
* add some comments
* add some comments
* add
* replace fwd kernel att1
* fix a arg
* add
* add
* fix token attention
* add some comments
* clean codes
* modify comments
* fix readme
* fix bug
* fix bug
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
* [test] merge old components to test to model zoo (#4945 )
* [test] add custom models in model zoo
* [test] update legacy test
* [test] update model zoo
* [test] update gemini test
* [test] remove components to test
* [inference] add reference and fix some bugs (#4937 )
* add reference and fix some bugs
* update gptq init
---------
Co-authored-by: Xu Kai <xukai16@foxamil.com>
* [Inference]ADD Bench Chatglm2 script (#4963 )
* add bench chatglm
* fix bug and make utils
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [Pipeline inference] Combine kvcache with pipeline inference (#4938 )
* merge kvcache with pipeline inference and refactor the code structure
* support ppsize > 2
* refactor pipeline code
* do pre-commit
* modify benchmark
* fix bench mark
* polish code
* add docstring and update readme
* refactor the code
* fix some logic bug of ppinfer
* polish readme
* fix typo
* skip infer test
* updated c++17 compiler flags (#4983 )
* [Inference] Dynamic Batching Inference, online and offline (#4953 )
* [inference] Dynamic Batching for Single and Multiple GPUs (#4831 )
* finish batch manager
* 1
* first
* fix
* fix dynamic batching
* llama infer
* finish test
* support different lengths generating
* del prints
* del prints
* fix
* fix bug
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [inference] Async dynamic batching (#4894 )
* finish input and output logic
* add generate
* test forward
* 1
* [inference]Re push async dynamic batching (#4901 )
* adapt to ray server
* finish async
* finish test
* del test
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* Revert "[inference]Re push async dynamic batching (#4901 )" (#4905 )
This reverts commit fbf3c09e67#4894 )"
This reverts commit fced140250#4894 )" (#4909 )
This reverts commit fced140250#4911 )
* Revert "[inference] Async dynamic batching (#4894 )"
This reverts commit fced140250#4935 )
* infer engine
* infer engine
* test engine
* test engine
* new manager
* change step
* add
* test
* fix
* fix
* finish test
* finish test
* finish test
* finish test
* add license
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* add assertion for config (#4947 )
* [Inference] Finish dynamic batching offline test (#4948 )
* test
* fix test
* fix quant
* add default
* fix
* fix some bugs
* fix some bugs
* fix
* fix bug
* fix bugs
* reset param
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [Kernels]Updated Triton kernels into 2.1.0 and adding flash-decoding for llama token attention (#4965 )
* adding flash-decoding
* clean
* adding kernel
* adding flash-decoding
* add integration
* add
* adding kernel
* adding kernel
* adding triton 2.1.0 features for inference
* update bloom triton kernel
* remove useless vllm kernels
* clean codes
* fix
* adding files
* fix readme
* update llama flash-decoding
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* fix ColossalEval (#4992 )
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
* [doc]Update doc for colossal-inference (#4989 )
* update doc
* Update README.md
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* [hotfix] Fix the bug where process groups were not being properly released. (#4940 )
* Fix the bug where process groups were not being properly released.
* test
* Revert "test"
This reverts commit 479900c139#4951 )
* [doc] add supported feature diagram for hybrid parallel plugin (#4996 )
* [Pipeline Inference] Merge pp with tp (#4993 )
* refactor pipeline into new CaiInferEngine
* updata llama modeling forward
* merge tp with pp
* update docstring
* optimize test workflow and example
* fix typo
* add assert and todo
* [release] update version (#4995 )
* [release] update version
* [hotfix] fix ci
* [gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
* fix
fix
fix
* update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
* support fused layernorm
support fused layernorm
support fused layernorm
* update fusedlayernorm
update fusedlayernorm
update fusedlayernorm
* add sequence parallel to gemini
add sequence parallel to gemini
* fix
* fix comments
fix comments
fix comments
* fix
* fix t5
* clear cache
* fix
* activate ci
* activate ci
* fix
* fix
* fix
* fix
* revert
* modify tp gather method
modify tp gather method
modify tp gather method
modify tp gather method
* fix test
---------
Co-authored-by: Xu Kai <xukai16@foxmail.com>
Co-authored-by: Zian(Andy) Zheng <62330719+Orion-Zheng@users.noreply.github.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
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Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: cuiqing.li <lixx336@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
Co-authored-by: Xu Kai <xukai16@foxamil.com>
Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com>
Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com>
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2023-11-10 10:15:16 +08:00
be82b5d4ca
[hotfix] Fix the bug where process groups were not being properly released. ( #4940 )
...
* Fix the bug where process groups were not being properly released.
* test
* Revert "test"
This reverts commit 479900c139
2023-10-31 14:47:30 +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
9c2feb2f0b
fix some typo with colossalai/device colossalai/tensor/ etc. ( #4171 )
...
Co-authored-by: flybird11111 <1829166702@qq.com>
2023-09-12 17:41:52 +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
d921ce8391
[shardformer] support inplace sharding ( #4251 )
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* [shardformer] embedding support inplace sharding
* [shardformer] linear support inplace sharding
* [shardformer] layernorm support inplace sharding
* [shardformer] qkv support inplace sharding
* [test] update shardformer layer test
* [shardformer] fix shared param sharding
* [shardformer] fix bert policy
* [shardformer] fix bloom policy
* [shardformer] fix llama policy
* [shardformer] fix opt policy
* [shardformer] fix t5 policy
* [shardformer] fix fused qkv linear
* [shardformer] fix bugs
* force sync
* [test] fix bugs
* [test] fix transformer version
2023-08-15 23:25:14 +08:00
190a6ea9c2
[dtensor] fixed readme file name and removed deprecated file ( #4162 )
2023-07-04 18:21:11 +08:00
c4b1b65931
[test] fixed tests failed due to dtensor change ( #4082 )
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* [test] fixed tests failed due to dtensor change
* polish code
2023-07-04 16:05:01 +08:00
70c58cfd4f
[shardformer] supported fused qkv checkpoint ( #4073 )
2023-07-04 16:05:01 +08:00
8eb09a4c69
[shardformer] support module saving and loading ( #4062 )
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* [shardformer] support module saving and loading
* polish code
2023-07-04 16:05:01 +08:00
45d9384346
[shardformer] removed inplace tensor sharding ( #4018 )
2023-07-04 16:05:01 +08:00
015af592f8
[shardformer] integrated linear 1D with dtensor ( #3996 )
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* [shardformer] integrated linear 1D with dtensor
* polish code
2023-07-04 16:05:01 +08:00
a2f9af810d
[shardformer] fix an error in readme ( #3988 )
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* fix an error in readme
* simplify code
2023-07-04 16:05:01 +08:00
ddcf58cacf
Revert "[sync] sync feature/shardformer with develop"
2023-06-09 09:41:27 +08:00
eb39154d40
[dtensor] updated api and doc ( #3845 )
2023-06-08 10:18:17 +08:00
d51e83d642
Merge pull request #3916 from FrankLeeeee/sync/dtensor-with-develop
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[sync] sync feature/dtensor with develop
2023-06-07 11:50:43 +08:00
0e484e6201
[nfc]fix typo colossalai/pipeline tensor nn ( #3899 )
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* fix typo colossalai/autochunk auto_parallel amp
* fix typo colossalai/auto_parallel nn utils etc.
* fix typo colossalai/auto_parallel autochunk fx/passes etc.
* fix typo docs/
* change placememt_policy to placement_policy in docs/ and examples/
* fix typo colossalai/ applications/
* fix typo colossalai/cli fx kernel
* fix typo colossalai/nn
* revert change warmuped
* fix typo colossalai/pipeline tensor nn
2023-06-06 14:07:36 +08:00
7c9f2ed6dd
[dtensor] polish sharding spec docstring ( #3838 )
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* [dtensor] polish sharding spec docstring
* [dtensor] polish sharding spec example docstring
2023-05-25 13:09:42 +08:00
b9a8dff7e5
[doc] Fix typo under colossalai and doc( #3618 )
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* Fixed several spelling errors under colossalai
* Fix the spelling error in colossalai and docs directory
* Cautious Changed the spelling error under the example folder
* Update runtime_preparation_pass.py
revert autograft to autograd
* Update search_chunk.py
utile to until
* Update check_installation.py
change misteach to mismatch in line 91
* Update 1D_tensor_parallel.md
revert to perceptron
* Update 2D_tensor_parallel.md
revert to perceptron in line 73
* Update 2p5D_tensor_parallel.md
revert to perceptron in line 71
* Update 3D_tensor_parallel.md
revert to perceptron in line 80
* Update README.md
revert to resnet in line 42
* Update reorder_graph.py
revert to indice in line 7
* Update p2p.py
revert to megatron in line 94
* Update initialize.py
revert to torchrun in line 198
* Update routers.py
change to detailed in line 63
* Update routers.py
change to detailed in line 146
* Update README.md
revert random number in line 402
2023-04-26 11:38:43 +08:00
258b43317c
[hotfix] layout converting issue ( #3188 )
2023-03-21 13:24:18 +08:00
2eca4cd376
[DTensor] refactor dtensor with new components ( #3089 )
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* [DTensor] refactor dtensor with new components
* polish
2023-03-14 16:25:47 +08:00
8e4e8601b7
[DTensor] implement layout converter ( #3055 )
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* [DTensor] refactor LayoutConverter for DTensor
* polish code
* polish docstring
2023-03-10 09:53:52 +08:00
29386a54e6
[DTensor] refactor CommSpec ( #3034 )
2023-03-08 10:45:31 +08:00
cd2b0eaa8d
[DTensor] refactor sharding spec ( #2987 )
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* [autoparallel] refactor sharding spec
* rename function name
2023-03-07 11:08:11 +08:00
e414e4092b
[DTensor] implementation of dtensor ( #2946 )
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* [DTensor] implementation of dtensor
* test layout convert
* polish
2023-03-01 16:34:58 +08:00
Guangyao Zhang