Boyuan Yao
7a58dc5ad2
Update metainfo patch branch ( #2517 )
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* init
* rename and remove useless func
* basic chunk
* add evoformer
* align evoformer
* add meta
* basic chunk
* basic memory
* finish basic inference memory estimation
* finish memory estimation
* fix bug
* finish memory estimation
* add part of index tracer
* finish basic index tracer
* add doc string
* add doc str
* polish code
* polish code
* update active log
* polish code
* add possible region search
* finish region search loop
* finish chunk define
* support new op
* rename index tracer
* finishi codegen on msa
* redesign index tracer, add source and change compute
* pass outproduct mean
* code format
* code format
* work with outerproductmean and msa
* code style
* code style
* code style
* code style
* change threshold
* support check_index_duplicate
* support index dupilictae and update loop
* support output
* update memory estimate
* optimise search
* fix layernorm
* move flow tracer
* refactor flow tracer
* format code
* refactor flow search
* code style
* adapt codegen to prepose node
* code style
* remove abandoned function
* remove flow tracer
* code style
* code style
* reorder nodes
* finish node reorder
* update run
* code style
* add chunk select class
* add chunk select
* code style
* add chunksize in emit, fix bug in reassgin shape
* code style
* turn off print mem
* add evoformer openfold init
* init openfold
* add benchmark
* add print
* code style
* code style
* init openfold
* update openfold
* align openfold
* use max_mem to control stratge
* update source add
* add reorder in mem estimator
* improve reorder efficeincy
* support ones_like, add prompt if fit mode search fail
* fix a bug in ones like, dont gen chunk if dim size is 1
* fix bug again
* update min memory stratege, reduce mem usage by 30%
* last version of benchmark
* refactor structure
* restruct dir
* update test
* rename
* take apart chunk code gen
* close mem and code print
* code format
* rename ambiguous variable
* seperate flow tracer
* seperate input node dim search
* seperate prepose_nodes
* seperate non chunk input
* seperate reorder
* rename
* ad reorder graph
* seperate trace flow
* code style
* code style
* fix typo
* set benchmark
* rename test
* update codegen test
* Fix state_dict key missing issue of the ZeroDDP (#2363 )
* Fix state_dict output for ZeroDDP duplicated parameters
* Rewrite state_dict based on get_static_torch_model
* Modify get_static_torch_model to be compatible with the lower version (ZeroDDP)
* update codegen test
* update codegen test
* add chunk search test
* code style
* add available
* [hotfix] fix gpt gemini example (#2404 )
* [hotfix] fix gpt gemini example
* [example] add new assertions
* remove autochunk_available
* [workflow] added nightly release to pypi (#2403 )
* add comments
* code style
* add doc for search chunk
* [doc] updated readme regarding pypi installation (#2406 )
* add doc for search
* [doc] updated kernel-related optimisers' docstring (#2385 )
* [doc] updated kernel-related optimisers' docstring
* polish doc
* rename trace_index to trace_indice
* rename function from index to indice
* rename
* rename in doc
* [polish] polish code for get_static_torch_model (#2405 )
* [gemini] polish code
* [testing] remove code
* [gemini] make more robust
* rename
* rename
* remove useless function
* [worfklow] added coverage test (#2399 )
* [worfklow] added coverage test
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* add doc for trace indice
* [docker] updated Dockerfile and release workflow (#2410 )
* add doc
* update doc
* add available
* change imports
* add test in import
* [workflow] refactored the example check workflow (#2411 )
* [workflow] refactored the example check workflow
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* Update parallel_context.py (#2408 )
* [hotfix] add DISTPAN argument for benchmark (#2412 )
* change the benchmark config file
* change config
* revert config file
* rename distpan to distplan
* [workflow] added precommit check for code consistency (#2401 )
* [workflow] added precommit check for code consistency
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
* adapt new fx
* [workflow] added translation for non-english comments (#2414 )
* [setup] refactored setup.py for dependency graph (#2413 )
* change import
* update doc
* [workflow] auto comment if precommit check fails (#2417 )
* [hotfix] add norm clearing for the overflow step (#2416 )
* [examples] adding tflops to PaLM (#2365 )
* [workflow]auto comment with test coverage report (#2419 )
* [workflow]auto comment with test coverage report
* polish code
* polish yaml
* [doc] added documentation for CI/CD (#2420 )
* [doc] added documentation for CI/CD
* polish markdown
* polish markdown
* polish markdown
* [example] removed duplicated stable diffusion example (#2424 )
* [zero] add inference mode and its unit test (#2418 )
* [workflow] report test coverage even if below threshold (#2431 )
* [example] improved the clarity yof the example readme (#2427 )
* [example] improved the clarity yof the example readme
* polish workflow
* polish workflow
* polish workflow
* polish workflow
* polish workflow
* polish workflow
* [ddp] add is_ddp_ignored (#2434 )
[ddp] rename to is_ddp_ignored
* [workflow] make test coverage report collapsable (#2436 )
* [autoparallel] add shard option (#2423 )
* [fx] allow native ckpt trace and codegen. (#2438 )
* [cli] provided more details if colossalai run fail (#2442 )
* [autoparallel] integrate device mesh initialization into autoparallelize (#2393 )
* [autoparallel] integrate device mesh initialization into autoparallelize
* add megatron solution
* update gpt autoparallel examples with latest api
* adapt beta value to fit the current computation cost
* [zero] fix state_dict and load_state_dict for ddp ignored parameters (#2443 )
* [ddp] add is_ddp_ignored
[ddp] rename to is_ddp_ignored
* [zero] fix state_dict and load_state_dict
* fix bugs
* [zero] update unit test for ZeroDDP
* [example] updated the hybrid parallel tutorial (#2444 )
* [example] updated the hybrid parallel tutorial
* polish code
* [zero] add warning for ignored parameters (#2446 )
* [example] updated large-batch optimizer tutorial (#2448 )
* [example] updated large-batch optimizer tutorial
* polish code
* polish code
* [example] fixed seed error in train_dreambooth_colossalai.py (#2445 )
* [workflow] fixed the on-merge condition check (#2452 )
* [workflow] automated the compatiblity test (#2453 )
* [workflow] automated the compatiblity test
* polish code
* [autoparallel] update binary elementwise handler (#2451 )
* [autoparallel] update binary elementwise handler
* polish
* [workflow] automated bdist wheel build (#2459 )
* [workflow] automated bdist wheel build
* polish workflow
* polish readme
* polish readme
* Fix False warning in initialize.py (#2456 )
* Update initialize.py
* pre-commit run check
* [examples] update autoparallel tutorial demo (#2449 )
* [examples] update autoparallel tutorial demo
* add test_ci.sh
* polish
* add conda yaml
* [cli] fixed hostname mismatch error (#2465 )
* [example] integrate autoparallel demo with CI (#2466 )
* [example] integrate autoparallel demo with CI
* polish code
* polish code
* polish code
* polish code
* [zero] low level optim supports ProcessGroup (#2464 )
* [example] update vit ci script (#2469 )
* [example] update vit ci script
* [example] update requirements
* [example] update requirements
* [example] integrate seq-parallel tutorial with CI (#2463 )
* [zero] polish low level optimizer (#2473 )
* polish pp middleware (#2476 )
Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>
* [example] update gpt gemini example ci test (#2477 )
* [zero] add unit test for low-level zero init (#2474 )
* [workflow] fixed the skip condition of example weekly check workflow (#2481 )
* [example] stable diffusion add roadmap
* add dummy test_ci.sh
* [example] stable diffusion add roadmap (#2482 )
* [CI] add test_ci.sh for palm, opt and gpt (#2475 )
* polish code
* [example] titans for gpt
* polish readme
* remove license
* polish code
* update readme
* [example] titans for gpt (#2484 )
* [autoparallel] support origin activation ckpt on autoprallel system (#2468 )
* [autochunk] support evoformer tracer (#2485 )
support full evoformer tracer, which is a main module of alphafold. previously we just support a simplifed version of it.
1. support some evoformer's op in fx
2. support evoformer test
3. add repos for test code
* [example] fix requirements (#2488 )
* [zero] add unit testings for hybrid parallelism (#2486 )
* [hotfix] gpt example titans bug #2493
* polish code and fix dataloader bugs
* [hotfix] gpt example titans bug #2493 (#2494 )
* [fx] allow control of ckpt_codegen init (#2498 )
* [fx] allow control of ckpt_codegen init
Currently in ColoGraphModule, ActivationCheckpointCodeGen will be set automatically in __init__. But other codegen can't be set if so.
So I add an arg to control whether to set ActivationCheckpointCodeGen in __init__.
* code style
* [example] dreambooth example
* add test_ci.sh to dreambooth
* [autochunk] support autochunk on evoformer (#2497 )
* Revert "Update parallel_context.py (#2408 )"
This reverts commit 7d5640b9db#2483 )
Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>
* [auto-chunk] support extramsa (#3 ) (#2504 )
* [utils] lazy init. (#2148 )
* [utils] lazy init.
* [utils] remove description.
* [utils] complete.
* [utils] finalize.
* [utils] fix names.
* [autochunk] support parsing blocks (#2506 )
* [zero] add strict ddp mode (#2508 )
* [zero] add strict ddp mode
* [polish] add comments for strict ddp mode
* [zero] fix test error
* [doc] update opt and tutorial links (#2509 )
* [workflow] fixed changed file detection (#2515 )
Co-authored-by: oahzxl <xuanlei.zhao@gmail.com>
Co-authored-by: eric8607242 <e0928021388@gmail.com>
Co-authored-by: HELSON <c2h214748@gmail.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: Haofan Wang <haofanwang.ai@gmail.com>
Co-authored-by: Jiarui Fang <fangjiarui123@gmail.com>
Co-authored-by: ZijianYY <119492445+ZijianYY@users.noreply.github.com>
Co-authored-by: YuliangLiu0306 <72588413+YuliangLiu0306@users.noreply.github.com>
Co-authored-by: Super Daniel <78588128+super-dainiu@users.noreply.github.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: Ziyue Jiang <ziyue.jiang97@gmail.com>
Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>
Co-authored-by: oahzxl <43881818+oahzxl@users.noreply.github.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Fazzie-Maqianli <55798671+Fazziekey@users.noreply.github.com>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
2023-01-27 09:52:21 +08:00
HELSON
48d33b1b17
[gemini] add get static torch model ( #2356 )
2023-01-06 13:41:19 +08:00
Jiarui Fang
af32022f74
[Gemini] fix the convert_to_torch_module bug ( #2269 )
2023-01-03 15:55:35 +08:00
HELSON
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
Jiarui Fang
2827f41898
[Gemini] GeminiDPP convert to PyTorch Module. ( #2151 )
2022-12-20 10:19:36 +08:00
Jiarui Fang
9214d1fe28
[Gemini] chunk init using runtime visited param order ( #2115 )
2022-12-12 18:06:16 +08:00
Jiarui Fang
e5aa8333e4
[NFC] update chunk manager API ( #2119 )
2022-12-12 16:57:22 +08:00
Jiarui Fang
e99edfcb51
[NFC] polish comments for Chunk class ( #2116 )
2022-12-12 15:39:31 +08:00
HELSON
63fbba3c19
[zero] add L2 gradient clipping for ZeRO ( #2112 )
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* [zero] add L2 gradient clipping
* [testing] add MlpModel
* [zero] add unit test for grad clipping
* fix atol
2022-12-09 18:09:17 +08:00
Jiarui Fang
1f99205827
[Gemini] remove static tracer ( #2083 )
2022-12-06 12:53:58 +08:00
Jiarui Fang
b3b89865e2
[Gemini] ParamOpHook -> ColoParamOpHook ( #2080 )
2022-12-05 17:11:06 +08:00
HELSON
e37f3db40c
[gemini] add arguments ( #2046 )
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* [zero] fix testing parameters
* [gemini] add arguments
* add docstrings
2022-11-30 16:40:13 +08:00
Jiarui Fang
96134e7be3
[hotfix] add bert test for gemini fwd bwd ( #2035 )
2022-11-29 11:19:52 +08:00
Jiarui Fang
8daf1b4db1
[Gemini] patch for supporting orch.add_ function for ColoTensor ( #2003 )
2022-11-25 20:06:35 +08:00
Jiarui Fang
cc0ed7cf33
[Gemini] ZeROHookV2 -> GeminiZeROHook ( #1972 )
2022-11-17 14:43:49 +08:00
Jiarui Fang
f7e276fa71
[Gemini] add GeminiAdamOptimizer ( #1960 )
2022-11-16 14:44:28 +08:00
Jiarui Fang
cd5a0d56fa
[Gemini] make gemini usage simple ( #1821 )
2022-11-08 15:53:13 +08:00
Zihao
20e255d4e8
MemStatsCollectorStatic ( #1765 )
2022-11-07 16:49:03 +08:00
HELSON
c6a1a62636
[hotfix] fix zero's incompatibility with checkpoint in torch-1.12 ( #1786 )
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* [hotfix] fix zero's incompatibility with checkpoint in torch-1.12
* [zero] add cpu shard init
* [zero] add tiny example test
* [colo_tensor] fix bugs for torch-1.11
2022-11-02 16:11:34 +08:00
HELSON
1468e4bcfc
[zero] add constant placement policy ( #1705 )
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* fixes memory leak when paramter is in fp16 in ZeroDDP init.
* bans chunk releasement in CUDA. Only when a chunk is about to offload, it is allowed to release.
* adds a constant placement policy. With it, users can allocate a reserved caching memory space for parameters.
2022-10-14 17:53:16 +08:00
Jiarui Fang
21962e1593
[embedding] rename FreqAwareEmbedding -> CachedEmbedding ( #1699 )
2022-10-13 22:22:27 +08:00
Jiarui Fang
363fc2861a
[embeddings] more detailed timer ( #1692 )
2022-10-12 12:01:21 +08:00
HELSON
b28991dd0a
[feature] A new ZeRO implementation ( #1644 )
2022-10-09 09:18:51 +08:00
Jiarui Fang
c638bec028
[embedding] polish async copy ( #1657 )
2022-09-27 14:37:03 +08:00
Jiarui Fang
988570e4a6
[embedding] add more detail profiling ( #1656 )
2022-09-27 13:43:59 +08:00
Jiarui Fang
e1f97fd2b8
[embedding] print profiling results ( #1654 )
2022-09-27 12:50:33 +08:00
Jiarui Fang
04443605a5
[embedding] non-blocking cpu-gpu copy ( #1647 )
2022-09-26 14:57:57 +08:00
CsRic
0767f67a0f
[embedding] isolate cache_op from forward ( #1645 )
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Co-authored-by: ric <mkkt_bkkt@mail.ustc.edu.cn>
2022-09-26 11:18:59 +08:00
Jiarui Fang
c5d39215f6
Revert "[feature] new zero implementation ( #1623 )" ( #1643 )
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This reverts commit 5be118f405
2022-09-26 10:06:03 +08:00
HELSON
5be118f405
[feature] new zero implementation ( #1623 )
2022-09-24 19:58:18 +08:00
Jiarui Fang
e57df80325
[embeddings] cache option ( #1635 )
2022-09-23 16:40:18 +08:00
Jiarui Fang
38c68b5b9a
[embedding] rollback for better FAW performance ( #1625 )
2022-09-22 11:16:25 +08:00
Jiarui Fang
504ff1d101
[embeddings] use cache_ratio instead of cuda_row_num ( #1611 )
2022-09-20 14:33:04 +08:00
Jiarui Fang
a19eb80998
[embedding] updates some default parameters
2022-09-15 15:45:17 +08:00
CsRic
f3403ff98e
[embeddings] add already_split_along_rank flag for tablewise mode ( #1584 )
2022-09-13 10:50:34 +08:00
Jiatong Han
3263cdf57f
[NFC] polish colossalai/nn/parallel/data_parallel.py code style ( #1570 )
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Co-authored-by: JThh <jiatong.han@u.nus.edu>
2022-09-08 22:11:04 +08:00
CsRic
a389ac4ec9
[embedding] cache_embedding small improvement ( #1564 )
2022-09-08 16:41:19 +08:00
Jiarui Fang
64169f3e8f
[embedding] polish parallel embedding tablewise ( #1545 )
2022-09-06 10:41:20 +08:00
CsRic
964123ae0f
[embedding] freq_aware_embedding: add small functions for caller application ( #1537 )
2022-09-05 15:12:53 +08:00
Jiarui Fang
521078ffc9
[embedding] fix a bug in table wise sharding ( #1538 )
2022-09-02 15:48:35 +08:00
Jiarui Fang
87134524fd
[embedding] tablewise sharding polish ( #1535 )
2022-09-02 11:09:37 +08:00
CsRic
5156d5b4f8
[embedding] add tablewise sharding for FAW ( #1526 )
2022-09-01 17:55:41 +08:00
Jiarui Fang
4537d39df9
[doc] docstring for FreqAwareEmbeddingBag ( #1525 )
2022-08-31 13:52:30 +08:00
Jiarui Fang
9a9ef65313
[FAW] cpu caching operations ( #1520 )
2022-08-30 14:50:02 +08:00
Jiarui Fang
af5438caa2
[FAW] refactor reorder() for CachedParamMgr ( #1514 )
2022-08-29 14:22:07 +08:00
Jiarui Fang
9feee6d06b
[FAW] LFU initialize with dataset freq ( #1513 )
2022-08-29 12:52:53 +08:00
CsRic
1b8fee8e9c
[FAW] shrink freq_cnter size ( #1509 )
2022-08-29 11:44:55 +08:00
Jiarui Fang
ba61109b6c
[FAW] remove code related to chunk ( #1501 )
2022-08-26 14:23:30 +08:00
Jiarui Fang
d5085bb317
[FAW] add more docs and fix a warning ( #1500 )
2022-08-26 14:10:21 +08:00
CsRic
0ed2f46131
[FAW] FAW embedding use LRU as eviction strategy intialized with dataset stats ( #1494 )
2022-08-26 11:24:12 +08:00
