アマデウス
6302069c0e
[model checkpoint] updated communication ops for cpu tensors ( #590 )
3 years ago
アマデウス
c50bfb807b
[model checkpoint] updated saving/loading for 1d layers ( #594 )
3 years ago
アマデウス
7636d518e1
[model checkpoint] updated saving/loading for 2d layers ( #595 )
3 years ago
アマデウス
cd13b63832
[model checkpoint] reworked unified layers for ease of save/load states ( #593 )
3 years ago
アマデウス
acae68eb04
[model checkpoint] updated checkpoint save/load utils ( #592 )
3 years ago
Ziyue Jiang
1c40ee8749
[TP] add assert for tp1d ( #621 )
3 years ago
ver217
369a288bf3
polish utils docstring ( #620 )
3 years ago
ver217
e619a651fb
polish optimizer docstring ( #619 )
3 years ago
ver217
8432dc7080
polish moe docsrting ( #618 )
3 years ago
ver217
c5b488edf8
polish amp docstring ( #616 )
3 years ago
ver217
0ef8819c67
polish docstring of zero ( #612 )
3 years ago
LuGY
02b187c14f
[zero] add sampling time for memstats collector ( #610 )
3 years ago
ver217
9bee119104
[hotfix] fix sharded optim zero grad ( #604 )
...
* fix sharded optim zero grad
* polish comments
3 years ago
アマデウス
297b8baae2
[model checkpoint] add gloo groups for cpu tensor communication ( #589 )
3 years ago
アマデウス
54e688b623
moved ensure_path_exists to utils.common ( #591 )
3 years ago
Jiarui Fang
e956d93ac2
[refactor] memory utils ( #577 )
3 years ago
ver217
104cbbb313
[hotfix] add hybrid adam to __init__ ( #584 )
3 years ago
HELSON
e6d50ec107
[zero] adapt zero for unsharded parameters ( #561 )
...
* support existing sharded and unsharded parameters in zero
* add unitest for moe-zero model init
* polish moe gradient handler
3 years ago
Wesley
46c9ba33da
update code format
3 years ago
Wesley
666cfd094a
fix parallel_input flag for Linear1D_Col gather_output
3 years ago
ver217
7c6c427db1
[zero] trace states of fp16/32 grad and fp32 param ( #571 )
3 years ago
Jiarui Fang
7675366fce
[polish] rename col_attr -> colo_attr ( #558 )
3 years ago
Liang Bowen
2c45efc398
html refactor ( #555 )
3 years ago
Jiarui Fang
d1211148a7
[utils] update colo tensor moving APIs ( #553 )
3 years ago
LuGY
c44d797072
[docs] updatad docs of hybrid adam and cpu adam ( #552 )
3 years ago
ver217
014bac0c49
[zero] hijack p.grad in sharded model ( #554 )
...
* hijack p.grad in sharded model
* polish comments
* polish comments
3 years ago
Jiarui Fang
f552b11294
[zero] label state for param fp16 and grad ( #551 )
3 years ago
Jiarui Fang
214da761d4
[zero] add stateful tensor ( #549 )
3 years ago
Jiarui Fang
107b99ddb1
[zero] dump memory stats for sharded model ( #548 )
3 years ago
Ziyue Jiang
763dc325f1
[TP] Add gather_out arg to Linear ( #541 )
3 years ago
HELSON
8c90d4df54
[zero] add zero context manager to change config during initialization ( #546 )
3 years ago
Liang Bowen
ec5086c49c
Refactored docstring to google style
3 years ago
Jiarui Fang
53b1b6e340
[zero] non model data tracing ( #545 )
3 years ago
Jie Zhu
73d36618a6
[profiler] add MemProfiler ( #356 )
...
* add memory trainer hook
* fix bug
* add memory trainer hook
* fix import bug
* fix import bug
* add trainer hook
* fix #370 git log bug
* modify `to_tensorboard` function to support better output
* remove useless output
* change the name of `MemProfiler`
* complete memory profiler
* replace error with warning
* finish trainer hook
* modify interface of MemProfiler
* modify `__init__.py` in profiler
* remove unnecessary pass statement
* add usage to doc string
* add usage to trainer hook
* new location to store temp data file
3 years ago
ver217
fb841dd5c5
[zero] optimize grad offload ( #539 )
...
* optimize grad offload
* polish code
* polish code
3 years ago
Jiarui Fang
7d81b5b46e
[logging] polish logger format ( #543 )
3 years ago
ver217
1f90a3b129
[zero] polish ZeroInitContext ( #540 )
3 years ago
Jiarui Fang
c11ff81b15
[zero] get memory usage of sharded optim v2. ( #542 )
3 years ago
HELSON
a30e2b4c24
[zero] adapt for no-leaf module in zero ( #535 )
...
only process module's own parameters in Zero context
add zero hooks for all modules that contrain parameters
gather parameters only belonging to module itself
3 years ago
Jiarui Fang
705f56107c
[zero] refactor model data tracing ( #537 )
3 years ago
Jiarui Fang
a590ed0ba3
[zero] improve the accuracy of get_memory_usage of sharded param ( #538 )
3 years ago
Jiarui Fang
37cb70feec
[zero] get memory usage for sharded param ( #536 )
3 years ago
Jiarui Fang
05e33b2578
[zero] fix grad offload ( #528 )
...
* [zero] fix grad offload
* polish code
3 years ago
LuGY
105c5301c3
[zero]added hybrid adam, removed loss scale in adam ( #527 )
...
* [zero]added hybrid adam, removed loss scale of adam
* remove useless code
3 years ago
Jiarui Fang
8d8c5407c0
[zero] refactor model data tracing ( #522 )
3 years ago
Frank Lee
3601b2bad0
[test] fixed rerun_on_exception and adapted test cases ( #487 )
3 years ago
Jiarui Fang
4d322b79da
[refactor] remove old zero code ( #517 )
3 years ago
LuGY
6a3f9fda83
[cuda] modify the fused adam, support hybrid of fp16 and fp32 ( #497 )
3 years ago
Jiarui Fang
920c5889a7
[zero] add colo move inline ( #521 )
3 years ago
ver217
7be397ca9c
[log] polish disable_existing_loggers ( #519 )
3 years ago
Jiarui Fang
0bebda6ea5
[zero] fix init device bug in zero init context unittest ( #516 )
3 years ago
Jiarui Fang
7ef3507ace
[zero] show model data cuda memory usage after zero context init. ( #515 )
3 years ago
ver217
a2e61d61d4
[zero] zero init ctx enable rm_torch_payload_on_the_fly ( #512 )
...
* enable rm_torch_payload_on_the_fly
* polish docstr
3 years ago
Jiarui Fang
81145208d1
[install] run with out rich ( #513 )
3 years ago
Jiarui Fang
bca0c49a9d
[zero] use colo model data api in optimv2 ( #511 )
3 years ago
Jiarui Fang
9330be0f3c
[memory] set cuda mem frac ( #506 )
3 years ago
Jiarui Fang
0035b7be07
[memory] add model data tensor moving api ( #503 )
3 years ago
Jiarui Fang
a445e118cf
[polish] polish singleton and global context ( #500 )
3 years ago
ver217
9ec1ce6ab1
[zero] sharded model support the reuse of fp16 shard ( #495 )
...
* sharded model supports reuse fp16 shard
* rename variable
* polish code
* polish code
* polish code
3 years ago
HELSON
f24b5ed201
[MOE] remove old MoE legacy ( #493 )
3 years ago
ver217
c4c02424f3
[zero] sharded model manages ophooks individually ( #492 )
3 years ago
HELSON
c9023d4078
[MOE] support PR-MOE ( #488 )
3 years ago
ver217
a9ecb4b244
[zero] polish sharded optimizer v2 ( #490 )
3 years ago
ver217
62b0a8d644
[zero] sharded optim support hybrid cpu adam ( #486 )
...
* sharded optim support hybrid cpu adam
* update unit test
* polish docstring
3 years ago
Jiarui Fang
b334822163
[zero] polish sharded param name ( #484 )
...
* [zero] polish sharded param name
* polish code
* polish
* polish code
* polish
* polsih
* polish
3 years ago
HELSON
d7ea63992b
[MOE] add FP32LinearGate for MOE in NaiveAMP context ( #480 )
3 years ago
Jiarui Fang
65c0f380c2
[format] polish name format for MOE ( #481 )
3 years ago
ver217
8d3250d74b
[zero] ZeRO supports pipeline parallel ( #477 )
3 years ago
Frank Lee
83a847d058
[test] added rerun on exception for testing ( #475 )
...
* [test] added rerun on exception function
* polish code
3 years ago
HELSON
7544347145
[MOE] add unitest for MOE experts layout, gradient handler and kernel ( #469 )
3 years ago
ver217
3cb3fc275e
zero init ctx receives a dp process group ( #471 )
3 years ago
HELSON
aff9d354f7
[MOE] polish moe_env ( #467 )
3 years ago
HELSON
bccbc15861
[MOE] changed parallelmode to dist process group ( #460 )
3 years ago
ver217
fc8e6db005
[doc] Update docstring for ZeRO ( #459 )
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* polish sharded model docstr
* polish sharded optim docstr
* polish zero docstr
* polish shard strategy docstr
3 years ago
HELSON
84fd7c1d4d
add moe context, moe utilities and refactor gradient handler ( #455 )
3 years ago
ver217
a241f61b34
[zero] Update initialize for ZeRO ( #458 )
...
* polish code
* shard strategy receive pg in shard() / gather()
* update zero engine
* polish code
3 years ago
ver217
642846d6f9
update sharded optim and fix zero init ctx ( #457 )
3 years ago
Jiarui Fang
e2e9f82588
Revert "[zero] update sharded optim and fix zero init ctx" ( #456 )
...
* Revert "polish code"
This reverts commit 8cf7ff08cf
.
* Revert "rename variables"
This reverts commit e99af94ab8
.
* Revert "remove surplus imports"
This reverts commit 46add4a5c5
.
* Revert "update sharded optim and fix zero init ctx"
This reverts commit 57567ee768
.
3 years ago
ver217
e99af94ab8
rename variables
3 years ago
ver217
57567ee768
update sharded optim and fix zero init ctx
3 years ago
Jiarui Fang
0fcfb1e00d
[test] make zero engine test really work ( #447 )
3 years ago
Jiarui Fang
237d08e7ee
[zero] hybrid cpu adam ( #445 )
3 years ago
Frank Lee
b72b8445c6
optimized context test time consumption ( #446 )
3 years ago
Jiarui Fang
496cbb0760
[hotfix] fix initialize bug with zero ( #442 )
3 years ago
Jiarui Fang
640a6cd304
[refactory] refactory the initialize method for new zero design ( #431 )
3 years ago
Frank Lee
bffd85bf34
added testing module ( #435 )
3 years ago
HELSON
dbdc9a7783
added Multiply Jitter and capacity factor eval for MOE ( #434 )
3 years ago
Frank Lee
b03b3ae99c
fixed mem monitor device ( #433 )
...
fixed mem monitor device
3 years ago
Frank Lee
14a7094243
fixed fp16 optimizer none grad bug ( #432 )
3 years ago
ver217
fce9432f08
sync before creating empty grad
3 years ago
ver217
ea6905a898
free param.grad
3 years ago
ver217
9506a8beb2
use double buffer to handle grad
3 years ago
Jiarui Fang
54229cd33e
[log] better logging display with rich ( #426 )
...
* better logger using rich
* remove deepspeed in zero requirements
3 years ago
HELSON
3f70a2b12f
removed noisy function during evaluation of MoE router ( #419 )
3 years ago
Jiarui Fang
adebb3e041
[zero] cuda margin space for OS ( #418 )
3 years ago
Jiarui Fang
56bb412e72
[polish] use GLOBAL_MODEL_DATA_TRACER ( #417 )
3 years ago
Jiarui Fang
23ba3fc450
[zero] refactory ShardedOptimV2 init method ( #416 )
3 years ago
Frank Lee
e79ea44247
[fp16] refactored fp16 optimizer ( #392 )
3 years ago
Jiarui Fang
21dc54e019
[zero] memtracer to record cuda memory usage of model data and overall system ( #395 )
3 years ago
Jiarui Fang
370f567e7d
[zero] new interface for ShardedOptimv2 ( #406 )
3 years ago
LuGY
a9c27be42e
Added tensor detector ( #393 )
...
* Added tensor detector
* Added the - states
* Allowed change include_cpu when detect()
3 years ago
1SAA
907ac4a2dc
fixed error when no collective communication in CommProfiler
3 years ago
Frank Lee
2fe68b359a
Merge pull request #403 from ver217/feature/shard-strategy
...
[zero] Add bucket tensor shard strategy
3 years ago
HELSON
dfd0363f68
polished output format for communication profiler and pcie profiler ( #404 )
...
fixed typing error
3 years ago
ver217
63469c0f91
polish code
3 years ago
ver217
88804aee49
add bucket tensor shard strategy
3 years ago
HELSON
7c079d9c33
[hotfix] fixed bugs in ShardStrategy and PcieProfiler ( #394 )
3 years ago
Frank Lee
1e4bf85cdb
fixed bug in activation checkpointing test ( #387 )
3 years ago
Jiarui Fang
3af13a2c3e
[zero] polish ShardedOptimV2 unittest ( #385 )
...
* place params on cpu after zero init context
* polish code
* bucketzed cpu gpu tensor transter
* find a bug in sharded optim unittest
* add offload unittest for ShardedOptimV2.
* polish code and make it more robust
3 years ago
Jiang Zhuo
5a4a3b77d9
fix format ( #376 )
3 years ago
LuGY
de46450461
Added activation offload ( #331 )
...
* Added activation offload
* Fixed the import bug, used the pytest
3 years ago
Jiarui Fang
272ebfb57d
[bug] shard param during initializing the ShardedModelV2 ( #381 )
3 years ago
HELSON
8c18eb0998
[profiler] Fixed bugs in CommProfiler and PcieProfiler ( #377 )
3 years ago
Jiarui Fang
b5f43acee3
[zero] find miss code ( #378 )
3 years ago
Jiarui Fang
6b6002962a
[zero] zero init context collect numel of model ( #375 )
3 years ago
HELSON
1ed7c24c02
Added PCIE profiler to dectect data transmission ( #373 )
3 years ago
jiaruifang
d9217e1960
Revert "[zero] bucketized tensor cpu gpu copy ( #368 )"
...
This reverts commit bef05489b6
.
3 years ago
RichardoLuo
8539898ec6
flake8 style change ( #363 )
3 years ago
Kai Wang (Victor Kai)
53bb3bcc0a
fix format ( #362 )
3 years ago
ziyu huang
a77d73f22b
fix format parallel_context.py ( #359 )
...
Co-authored-by: huangziyu <202476410arsmart@gmail.com>
3 years ago
Zangwei
c695369af0
fix format constants.py ( #358 )
3 years ago
Yuer867
4a0f8c2c50
fix format parallel_2p5d ( #357 )
3 years ago
Liang Bowen
7eb87f516d
flake8 style ( #352 )
3 years ago
Xu Kai
54ee8d1254
Fix/format colossalai/engine/paramhooks/( #350 )
3 years ago
Maruyama_Aya
e83970e3dc
fix format ColossalAI\colossalai\context\process_group_initializer
3 years ago
yuxuan-lou
3b88eb2259
Flake8 code restyle
3 years ago
xuqifan897
148207048e
Qifan formated file ColossalAI\colossalai\nn\layer\parallel_1d\layers.py ( #342 )
3 years ago
Cautiousss
3a51d909af
fix format ( #332 )
...
Co-authored-by: 何晓昕 <cautious@r-205-106-25-172.comp.nus.edu.sg>
3 years ago
DouJS
cbb6436ff0
fix format for dir-[parallel_3d] ( #333 )
3 years ago
ExtremeViscent
eaac03ae1d
[formart] format fixed for kernel\cuda_native codes ( #335 )
3 years ago
Jiarui Fang
00670c870e
[zero] bucketized tensor cpu gpu copy ( #368 )
3 years ago
Jiarui Fang
44e4891f57
[zero] able to place params on cpu after zero init context ( #365 )
...
* place params on cpu after zero init context
* polish code
3 years ago
ver217
253e54d98a
fix grad shape
3 years ago
Jiarui Fang
ea2872073f
[zero] global model data memory tracer ( #360 )
3 years ago
Jiarui Fang
cb34cd384d
[test] polish zero related unitest ( #351 )
3 years ago
HELSON
534e0bb118
Fixed import bug for no-tensorboard environment ( #354 )
3 years ago
HELSON
c57e089824
[profile] added example for ProfilerContext ( #349 )
3 years ago
Jiarui Fang
10e2826426
move async memory to an individual directory ( #345 )
3 years ago
HELSON
425bb0df3f
Added Profiler Context to manage all profilers ( #340 )
3 years ago
ver217
d0ae0f2215
[zero] update sharded optim v2 ( #334 )
3 years ago
jiaruifang
5663616921
polish code
3 years ago
jiaruifang
7977422aeb
add bert for unitest and sharded model is not able to pass the bert case
3 years ago
Frank Lee
3d5d64bd10
refactored grad scaler ( #338 )
3 years ago
Frank Lee
6a3188167c
set criterion as optional in colossalai initialize ( #336 )
3 years ago
Jie Zhu
3213554cc2
[profiler] add adaptive sampling to memory profiler ( #330 )
...
* fix merge conflict
modify unit test
remove unnessesary log info
reformat file
* remove unused module
* remove unnecessary sync function
* change doc string style from Google to Sphinx
3 years ago
ver217
1388671699
[zero] Update sharded model v2 using sharded param v2 ( #323 )
3 years ago
Jiarui Fang
11bddb6e55
[zero] update zero context init with the updated test utils ( #327 )
3 years ago
HELSON
4f26fabe4f
fixed strings in profiler outputs ( #325 )
3 years ago
Jiarui Fang
de0468c7a8
[zero] zero init context ( #321 )
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* add zero init context
* add more flags for zero init context
fix bug of repeated converting param to ShardedParamV2
* polish code
3 years ago
1SAA
73bff11288
Added profiler communication operations
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Fixed bug for learning rate scheduler
3 years ago
LuGY
a3269de5c9
[zero] cpu adam kernel ( #288 )
...
* Added CPU Adam
* finished the cpu adam
* updated the license
* delete useless parameters, removed resnet
* modified the method off cpu adam unittest
* deleted some useless codes
* removed useless codes
Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: jiaruifang <fangjiarui123@gmail.com>
3 years ago
Jiarui Fang
90d3aef62c
[zero] yet an improved sharded param ( #311 )
3 years ago
Jiarui Fang
c9e7d9582d
[zero] polish shard strategy ( #310 )
...
* init shard param from shape tuple
* add more unitest for shard param
* add set_payload method for ShardedParam
* [zero] add shareded tensor class
* polish code
* add shard stratgy
* move shard and gather logic to shard strategy from shard tensor.
* polish code
3 years ago
ver217
3092317b80
polish code
3 years ago
ver217
36f9a74ab2
fix sharded param hook and unit test
3 years ago
ver217
001ca624dd
impl shard optim v2 and add unit test
3 years ago
Jiarui Fang
74f77e314b
[zero] a shard strategy in granularity of tensor ( #307 )
3 years ago
Jiarui Fang
80364c7686
[zero] sharded tensor ( #305 )
...
* init shard param from shape tuple
* add more unitest for shard param
* add set_payload method for ShardedParam
* [zero] add shareded tensor class
* polish code
3 years ago
Jie Zhu
d344689274
[profiler] primary memory tracer
3 years ago
ver217
b105371ace
rename shared adam to sharded optim v2
3 years ago
ver217
70814dc22f
fix master params dtype
3 years ago
ver217
795210dd99
add fp32 master params in sharded adam
3 years ago
ver217
a109225bc2
add sharded adam
3 years ago
Jiarui Fang
e17e92c54d
Polish sharded parameter ( #297 )
...
* init shard param from shape tuple
* add more unitest for shard param
* add more unittests to shareded param
3 years ago
ver217
7aef75ca42
[zero] add sharded grad and refactor grad hooks for ShardedModel ( #287 )
3 years ago
Frank Lee
9afb5c8b2d
fixed typo in ShardParam ( #294 )
3 years ago
Frank Lee
e17e54e32a
added buffer sync to naive amp model wrapper ( #291 )
3 years ago
Jiarui Fang
8d653af408
add a common util for hooks registered on parameter. ( #292 )
3 years ago
Jie Zhu
f867365aba
bug fix: pass hook_list to engine ( #273 )
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* bug fix: pass hook_list to engine
* change parameter name
3 years ago
Jiarui Fang
5a560a060a
Feature/zero ( #279 )
...
* add zero1 (#209 )
* add zero1
* add test zero1
* update zero stage 1 develop (#212 )
* Implement naive zero3 (#240 )
* naive zero3 works well
* add zero3 param manager
* add TODOs in comments
* add gather full param ctx
* fix sub module streams
* add offload
* fix bugs of hook and add unit tests
* fix bugs of hook and add unit tests (#252 )
* add gather full param ctx
* fix sub module streams
* add offload
* fix bugs of hook and add unit tests
* polish code and add state dict hook
* fix bug
* update unit test
* refactor reconstructed zero code
* clip_grad support zero3 and add unit test
* add unit test for Zero3ParameterManager
* [WIP] initialize the shard param class
* [WIP] Yet another sharded model implementation (#274 )
* [WIP] initialize the shard param class
* [WIP] Yes another implementation of shardModel. Using a better hook method.
* torch.concat -> torch.cat
* fix test_zero_level_1.py::test_zero_level_1 unitest
* remove deepspeed implementation and refactor for the reconstructed zero module
* polish zero dp unittests
Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
3 years ago
1SAA
82023779bb
Added TPExpert for special situation
3 years ago
HELSON
36b8477228
Fixed parameter initialization in FFNExpert ( #251 )
3 years ago
アマデウス
e13293bb4c
fixed CI dataset directory; fixed import error of 2.5d accuracy ( #255 )
3 years ago
1SAA
219df6e685
Optimized MoE layer and fixed some bugs;
...
Decreased moe tests;
Added FFNExperts and ViTMoE model
3 years ago
zbian
3dba070580
fixed padding index issue for vocab parallel embedding layers; updated 3D linear to be compatible with examples in the tutorial
3 years ago
Frank Lee
f5ca88ec97
fixed apex import ( #227 )
3 years ago
Frank Lee
3a1a9820b0
fixed mkdir conflict and align yapf config with flake ( #220 )
3 years ago
アマデウス
9ee197d0e9
moved env variables to global variables; ( #215 )
...
added branch context;
added vocab parallel layers;
moved split_batch from load_batch to tensor parallel embedding layers;
updated gpt model;
updated unit test cases;
fixed few collective communicator bugs
3 years ago
Frank Lee
812357d63c
fixed utils docstring and add example to readme ( #200 )
3 years ago
Frank Lee
765db512b5
fixed ddp bug on torch 1.8 ( #194 )
3 years ago
Jiarui Fang
569357fea0
add pytorch hooks ( #179 )
...
* add pytorch hooks
fix #175
* remove licenses in src code
* add gpu memory tracer
* replacing print with logger in ophooks.
3 years ago
ver217
708404d5f8
fix pipeline forward return tensors ( #176 )
3 years ago
HELSON
0f8c7f9804
Fixed docstring in colossalai ( #171 )
3 years ago
Frank Lee
e2089c5c15
adapted for sequence parallel ( #163 )
3 years ago
puck_WCR
9473a1b9c8
AMP docstring/markdown update ( #160 )
3 years ago
Frank Lee
f3802d6b06
fixed jit default setting ( #154 )
3 years ago
ver217
7bf1e98b97
pipeline last stage supports multi output ( #151 )
3 years ago
ver217
f68eddfb3d
refactor kernel ( #142 )
3 years ago
BoxiangW
4a3d3446b0
Update layer integration documentations ( #108 )
...
Update the documentations of layer integration
Update _log_hook.py
Update _operation.py
3 years ago
ver217
9ef05ed1fc
try import deepspeed when using zero ( #130 )
3 years ago
HELSON
dceae85195
Added MoE parallel ( #127 )
3 years ago
ver217
293fb40c42
add scatter/gather optim for pipeline ( #123 )
3 years ago
Jiarui Fang
2c0c85d3d3
fix a bug in timer ( #114 )
3 years ago
ver217
7904baf6e1
fix layers/schedule for hybrid parallelization ( #111 ) ( #112 )
3 years ago
ver217
a951bc6089
update default logger ( #100 ) ( #101 )
3 years ago
ver217
96780e6ee4
Optimize pipeline schedule ( #94 )
...
* add pipeline shared module wrapper and update load batch
* added model parallel process group for amp and clip grad (#86 )
* added model parallel process group for amp and clip grad
* update amp and clip with model parallel process group
* remove pipeline_prev/next group (#88 )
* micro batch offload
* optimize pipeline gpu memory usage
* pipeline can receive tensor shape (#93 )
* optimize pipeline gpu memory usage
* fix grad accumulation step counter
* rename classes and functions
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
3 years ago
アマデウス
01a80cd86d
Hotfix/Colossalai layers ( #92 )
...
* optimized 1d layer apis; reorganized nn.layer modules; fixed tests
* fixed 2.5d runtime issue
* reworked split batch, now called in trainer.schedule.load_batch
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
3 years ago
アマデウス
0fedef4f3c
Layer integration ( #83 )
...
* integrated parallel layers for ease of building models
* integrated 2.5d layers
* cleaned codes and unit tests
* added log metric by step hook; updated imagenet benchmark; fixed some bugs
* reworked initialization; cleaned codes
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
3 years ago
shenggan
5c3843dc98
add colossalai kernel module ( #55 )
3 years ago
ver217
8f02a88db2
add interleaved pipeline, fix naive amp and update pipeline model initializer ( #80 )
3 years ago
Frank Lee
91c327cb44
fixed zero level 3 dtype bug ( #76 )
3 years ago
HELSON
632e622de8
overlap computation and communication in 2d operations ( #75 )
3 years ago
Frank Lee
cd9c28e055
added CI for unit testing ( #69 )
3 years ago
Frank Lee
35813ed3c4
update examples and sphnix docs for the new api ( #63 )
3 years ago
ver217
7d3711058f
fix zero3 fp16 and add zero3 model context ( #62 )
3 years ago
Frank Lee
9a0466534c
update markdown docs (english) ( #60 )
3 years ago
Frank Lee
da01c234e1
Develop/experiments ( #59 )
...
* Add gradient accumulation, fix lr scheduler
* fix FP16 optimizer and adapted torch amp with tensor parallel (#18 )
* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes
* fixed trainer
* Revert "fixed trainer"
This reverts commit 2e0b0b7699
.
* improved consistency between trainer, engine and schedule (#23 )
Co-authored-by: 1SAA <c2h214748@gmail.com>
* Split conv2d, class token, positional embedding in 2d, Fix random number in ddp
Fix convergence in cifar10, Imagenet1000
* Integrate 1d tensor parallel in Colossal-AI (#39 )
* fixed 1D and 2D convergence (#38 )
* optimized 2D operations
* fixed 1D ViT convergence problem
* Feature/ddp (#49 )
* remove redundancy func in setup (#19 ) (#20 )
* use env to control the language of doc (#24 ) (#25 )
* Support TP-compatible Torch AMP and Update trainer API (#27 )
* Add gradient accumulation, fix lr scheduler
* fix FP16 optimizer and adapted torch amp with tensor parallel (#18 )
* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes
* fixed trainer
* Revert "fixed trainer"
This reverts commit 2e0b0b7699
.
* improved consistency between trainer, engine and schedule (#23 )
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
* add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29 )
* add explanation for ViT example (#35 ) (#36 )
* support torch ddp
* fix loss accumulation
* add log for ddp
* change seed
* modify timing hook
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* Feature/pipeline (#40 )
* remove redundancy func in setup (#19 ) (#20 )
* use env to control the language of doc (#24 ) (#25 )
* Support TP-compatible Torch AMP and Update trainer API (#27 )
* Add gradient accumulation, fix lr scheduler
* fix FP16 optimizer and adapted torch amp with tensor parallel (#18 )
* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes
* fixed trainer
* Revert "fixed trainer"
This reverts commit 2e0b0b7699
.
* improved consistency between trainer, engine and schedule (#23 )
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
* add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29 )
* add explanation for ViT example (#35 ) (#36 )
* optimize communication of pipeline parallel
* fix grad clip for pipeline
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* optimized 3d layer to fix slow computation ; tested imagenet performance with 3d; reworked lr_scheduler config definition; fixed launch args; fixed some printing issues; simplified apis of 3d layers (#51 )
* Update 2.5d layer code to get a similar accuracy on imagenet-1k dataset
* update api for better usability (#58 )
update api for better usability
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: puck_WCR <46049915+WANG-CR@users.noreply.github.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
3 years ago
ver217
dbe62c67b8
add an example of ViT-B/16 and remove w_norm clipping in LAMB ( #29 )
3 years ago
Frank Lee
3defa32aee
Support TP-compatible Torch AMP and Update trainer API ( #27 )
...
* Add gradient accumulation, fix lr scheduler
* fix FP16 optimizer and adapted torch amp with tensor parallel (#18 )
* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes
* fixed trainer
* Revert "fixed trainer"
This reverts commit 2e0b0b7699
.
* improved consistency between trainer, engine and schedule (#23 )
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
3 years ago
ver217
3c7604ba30
update documentation
3 years ago
zbian
404ecbdcc6
Migrated project
3 years ago