576a2f7b10
[gemini] gemini support tensor parallelism. ( #4942 )
...
* [colossalai]fix typo
* [inference] Add smmoothquant for llama (#4904 )
* [inference] add int8 rotary embedding kernel for smoothquant (#4843 )
* [inference] add smoothquant llama attention (#4850 )
* add smoothquant llama attention
* remove uselss code
* remove useless code
* fix import error
* rename file name
* [inference] add silu linear fusion for smoothquant llama mlp (#4853 )
* add silu linear
* update skip condition
* 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>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions <github-actions@github.com>
Co-authored-by: Baizhou Zhang <eddiezhang@pku.edu.cn>
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>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Yuanchen <70520919+chengeharrison@users.noreply.github.com>
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: littsk <1214689160@qq.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
2023-11-10 10:15:16 +08:00
f71e63b0f3
[moe] support optimizer checkpoint ( #5015 )
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* Refactor MoE Manager setup method
* unshard optim ckpt
* optim io
* update transformer version
* update requirements
* update ckpt
* update ckpt
* update ckpt
* fix engine
* fix engine
2023-11-08 15:07:03 +00:00
dc003c304c
[moe] merge moe into main ( #4978 )
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* update moe module
* support openmoe
2023-11-02 02:21:24 +00:00
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
b5f9e37c70
[legacy] clean up legacy code ( #4743 )
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* [legacy] remove outdated codes of pipeline (#4692 )
* [legacy] remove cli of benchmark and update optim (#4690 )
* [legacy] remove cli of benchmark and update optim
* [doc] fix cli doc test
* [legacy] fix engine clip grad norm
* [legacy] remove outdated colo tensor (#4694 )
* [legacy] remove outdated colo tensor
* [test] fix test import
* [legacy] move outdated zero to legacy (#4696 )
* [legacy] clean up utils (#4700 )
* [legacy] clean up utils
* [example] update examples
* [legacy] clean up amp
* [legacy] fix amp module
* [legacy] clean up gpc (#4742 )
* [legacy] clean up context
* [legacy] clean core, constants and global vars
* [legacy] refactor initialize
* [example] fix examples ci
* [example] fix examples ci
* [legacy] fix tests
* [example] fix gpt example
* [example] fix examples ci
* [devops] fix ci installation
* [example] fix examples ci
2023-09-18 16:31:06 +08:00
9c2feb2f0b
fix some typo with colossalai/device colossalai/tensor/ etc. ( #4171 )
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Co-authored-by: flybird11111 <1829166702@qq.com>
2023-09-12 17:41:52 +08:00
554aa9592e
[legacy] move communication and nn to legacy and refactor logger ( #4671 )
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* [legacy] move communication to legacy (#4640 )
* [legacy] refactor logger and clean up legacy codes (#4654 )
* [legacy] make logger independent to gpc
* [legacy] make optim independent to registry
* [legacy] move test engine to legacy
* [legacy] move nn to legacy (#4656 )
* [legacy] move nn to legacy
* [checkpointio] fix save hf config
* [test] remove useledd rpc pp test
* [legacy] fix nn init
* [example] skip tutorial hybriad parallel example
* [devops] test doc check
* [devops] test doc check
2023-09-11 16:24:28 +08:00
27061426f7
[gemini] improve compatibility and add static placement policy ( #4479 )
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* [gemini] remove distributed-related part from colotensor (#4379 )
* [gemini] remove process group dependency
* [gemini] remove tp part from colo tensor
* [gemini] patch inplace op
* [gemini] fix param op hook and update tests
* [test] remove useless tests
* [test] remove useless tests
* [misc] fix requirements
* [test] fix model zoo
* [test] fix model zoo
* [test] fix model zoo
* [test] fix model zoo
* [test] fix model zoo
* [misc] update requirements
* [gemini] refactor gemini optimizer and gemini ddp (#4398 )
* [gemini] update optimizer interface
* [gemini] renaming gemini optimizer
* [gemini] refactor gemini ddp class
* [example] update gemini related example
* [example] update gemini related example
* [plugin] fix gemini plugin args
* [test] update gemini ckpt tests
* [gemini] fix checkpoint io
* [example] fix opt example requirements
* [example] fix opt example
* [example] fix opt example
* [example] fix opt example
* [gemini] add static placement policy (#4443 )
* [gemini] add static placement policy
* [gemini] fix param offload
* [test] update gemini tests
* [plugin] update gemini plugin
* [plugin] update gemini plugin docstr
* [misc] fix flash attn requirement
* [test] fix gemini checkpoint io test
* [example] update resnet example result (#4457 )
* [example] update bert example result (#4458 )
* [doc] update gemini doc (#4468 )
* [example] update gemini related examples (#4473 )
* [example] update gpt example
* [example] update dreambooth example
* [example] update vit
* [example] update opt
* [example] update palm
* [example] update vit and opt benchmark
* [hotfix] fix bert in model zoo (#4480 )
* [hotfix] fix bert in model zoo
* [test] remove chatglm gemini test
* [test] remove sam gemini test
* [test] remove vit gemini test
* [hotfix] fix opt tutorial example (#4497 )
* [hotfix] fix opt tutorial example
* [hotfix] fix opt tutorial example
2023-08-24 09:29:25 +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
2629f9717d
[tensor] Refactor handle_trans_spec in DistSpecManager
2023-05-06 17:55:37 +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
8f740deb53
Fix typo ( #3448 )
2023-04-06 09:43:31 +08:00
1a229045af
Add interface for colo tesnor dp size ( #3227 )
2023-03-27 09:42:21 +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
47fb214b3b
[hotfix] add shard dim to aviod backward communication error ( #2954 )
2023-03-01 11:41:53 +08:00
8c8a39be95
[hotfix]: Remove math.prod dependency ( #2837 )
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* Remove math.prod dependency
* Fix style
* Fix style
---------
Co-authored-by: Jiatong Han <jiatong.han@u.nus.edu>
2023-02-23 23:56:15 +08:00
552183bb74
[polish] polish ColoTensor and its submodules ( #2537 )
2023-02-03 11:44:10 +08:00
aa0f6686f9
[autoparallel] accelerate gpt2 training ( #2495 )
2023-01-29 11:13:15 +08:00
707b11d4a0
[gemini] update ddp strict mode ( #2518 )
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* [zero] add strict ddp mode for chunk init
* [gemini] update gpt example
2023-01-28 14:35:25 +08:00
8f72b6f8fb
[hotfix] fix implement error in diffusers
2023-01-07 07:56:39 +08:00
33f3023e19
[hotfix] fix implement error in diffusers
2023-01-06 18:37:18 +08:00
1aaeb596c6
[example] gpt, shard init on all processes ( #2366 )
2023-01-06 15:44:50 +08:00
22e947f982
[autoparallel] fix runtime apply memory estimation ( #2281 )
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* [autoparallel] align the data_ptr with the old version of auto activation checkpoint pipeline
* [autoparallel] using fwd_time and bwd_time instead of fwd_flop and bwd_flop
* [autoparallel] specifycomm nodes' memory cost in construct chain
* [autoparallel] fix wrong runtime apply calculation
* [autoparallel] fix wrong runtime apply calculation
* [autoparallel] fix wrong runtime apply calculation
2023-01-03 17:18:07 +08:00
85178a397a
[hotfix] fix error for torch 2.0 ( #2243 )
2022-12-30 23:11:55 +08:00
24246f7aa5
[autoparallel] Attach input, buffer and output tensor to MetaInfo class ( #2162 )
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* [fx] metainfo class for auto parallel
* [fx] add unit test for linear metainfo
* [fx] fix bwd param for linear
* [fx] modify unit test
* [fx] modify unit test
* [fx] modify import
* [fx] modify import
* [fx] modify import
* [fx] move meta profiler to auto parallel
* [fx] add conv metainfo class
* [fx] restore profiler
* [fx] restore meta profiler
* [autoparallel] modify unit test
* [fx] modify unit test
* [autoparallel] add batchnorm metainfo class
* [autoparallel] fix batchnorm unit test function declaration
* [fx] restore profiler
* [fx] add relu metainfo class
* [fx] restore profiler
* [autoparallel] modify metainfo input
* [autoparallel] add pooling metainfo
* [autoparallel] add F.linear metainfo generator
* [autoparallel] add binary elementwise metainfo
* [fx] recover profiler
* [autoparallel] fix forward memory calculation
* [autoparallel] modify constants.py
* [autoparallel] remove redundant print
* [autoparallel] add F.conv metainfo
* [autoparallel] linear fix
* [autoparallel] memory estimation for communication actions
* [autoparallel] fix docstring
* [autoparallel] fix variables name
* [autoparallel] attach tensor to metainfo class
* [autoparallel] fix dangerous try except
* [autoparallel] attach memory cost to shape consistency node
* [autoparallel] attach shape consistency node's metainfo to the node
* [autoparallel] remove todo in shape consistency memory estimation
* [autoparallel] fix the annotation
2022-12-28 13:37:40 +08:00
2458659919
[zero] fix error for BEiT models ( #2169 )
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* [zero] fix error for BEiT models
* [ColoParameter] add unpack operation for tuple arguments
* fix bugs
* fix chunkv2 unit testing
* add assertion for gradient state
2022-12-26 15:03:54 +08:00
cfe2a9bd90
[autoparallel] memory estimation for shape consistency ( #2144 )
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* [fx] metainfo class for auto parallel
* [fx] add unit test for linear metainfo
* [fx] fix bwd param for linear
* [fx] modify unit test
* [fx] modify unit test
* [fx] modify import
* [fx] modify import
* [fx] modify import
* [fx] move meta profiler to auto parallel
* [fx] add conv metainfo class
* [fx] restore profiler
* [fx] restore meta profiler
* [autoparallel] modify unit test
* [fx] modify unit test
* [autoparallel] add batchnorm metainfo class
* [autoparallel] fix batchnorm unit test function declaration
* [fx] restore profiler
* [fx] add relu metainfo class
* [fx] restore profiler
* [autoparallel] modify metainfo input
* [autoparallel] add pooling metainfo
* [autoparallel] add F.linear metainfo generator
* [autoparallel] add binary elementwise metainfo
* [fx] recover profiler
* [autoparallel] fix forward memory calculation
* [autoparallel] modify constants.py
* [autoparallel] remove redundant print
* [autoparallel] add F.conv metainfo
* [autoparallel] linear fix
* [autoparallel] memory estimation for communication actions
* [autoparallel] fix docstring
* [autoparallel] fix variables name
2022-12-21 10:39:37 +08:00
2827f41898
[Gemini] GeminiDPP convert to PyTorch Module. ( #2151 )
2022-12-20 10:19:36 +08:00
e99edfcb51
[NFC] polish comments for Chunk class ( #2116 )
2022-12-12 15:39:31 +08:00
b3b89865e2
[Gemini] ParamOpHook -> ColoParamOpHook ( #2080 )
2022-12-05 17:11:06 +08:00
81330b0352
[autoparallel] add experimental permute handler ( #2029 )
2022-11-27 20:26:52 +08:00
flybird11111