github-actions[bot]
92f4224867
Automated submodule synchronization ( #501 )
2022-03-30 14:06:23 +08:00
Jiarui Fang
214da761d4
[zero] add stateful tensor ( #549 )
2022-03-30 13:51:37 +08:00
Jiarui Fang
107b99ddb1
[zero] dump memory stats for sharded model ( #548 )
2022-03-30 09:38:44 +08:00
Ziyue Jiang
763dc325f1
[TP] Add gather_out arg to Linear ( #541 )
2022-03-30 09:35:46 +08:00
HELSON
8c90d4df54
[zero] add zero context manager to change config during initialization ( #546 )
2022-03-29 17:57:59 +08:00
Liang Bowen
ec5086c49c
Refactored docstring to google style
2022-03-29 17:17:47 +08:00
Jiarui Fang
53b1b6e340
[zero] non model data tracing ( #545 )
2022-03-29 15:45:48 +08:00
Jie Zhu
73d36618a6
[profiler] add MemProfiler ( #356 )
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* 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
2022-03-29 12:48:34 +08:00
ver217
fb841dd5c5
[zero] optimize grad offload ( #539 )
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* optimize grad offload
* polish code
* polish code
2022-03-29 12:48:00 +08:00
Jiarui Fang
7d81b5b46e
[logging] polish logger format ( #543 )
2022-03-29 10:37:11 +08:00
ver217
1f90a3b129
[zero] polish ZeroInitContext ( #540 )
2022-03-29 09:09:04 +08:00
Jiarui Fang
c11ff81b15
[zero] get memory usage of sharded optim v2. ( #542 )
2022-03-29 09:08:18 +08:00
HELSON
a30e2b4c24
[zero] adapt for no-leaf module in zero ( #535 )
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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
2022-03-28 17:42:18 +08:00
Jiarui Fang
705f56107c
[zero] refactor model data tracing ( #537 )
2022-03-28 16:38:18 +08:00
Jiarui Fang
a590ed0ba3
[zero] improve the accuracy of get_memory_usage of sharded param ( #538 )
2022-03-28 16:19:19 +08:00
Jiarui Fang
37cb70feec
[zero] get memory usage for sharded param ( #536 )
2022-03-28 15:01:21 +08:00
ver217
56ad945797
update version ( #533 )
2022-03-26 12:34:28 +08:00
ver217
ffca99d187
[doc] update apidoc ( #530 )
2022-03-25 18:29:43 +08:00
Jiarui Fang
05e33b2578
[zero] fix grad offload ( #528 )
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* [zero] fix grad offload
* polish code
2022-03-25 18:23:25 +08:00
LuGY
105c5301c3
[zero]added hybrid adam, removed loss scale in adam ( #527 )
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* [zero]added hybrid adam, removed loss scale of adam
* remove useless code
2022-03-25 18:03:54 +08:00
Jiarui Fang
8d8c5407c0
[zero] refactor model data tracing ( #522 )
2022-03-25 18:03:32 +08:00
Frank Lee
3601b2bad0
[test] fixed rerun_on_exception and adapted test cases ( #487 )
2022-03-25 17:25:12 +08:00
Jiarui Fang
4d322b79da
[refactor] remove old zero code ( #517 )
2022-03-25 14:54:39 +08:00
LuGY
6a3f9fda83
[cuda] modify the fused adam, support hybrid of fp16 and fp32 ( #497 )
2022-03-25 14:15:53 +08:00
Jiarui Fang
920c5889a7
[zero] add colo move inline ( #521 )
2022-03-25 14:02:55 +08:00
ver217
7be397ca9c
[log] polish disable_existing_loggers ( #519 )
2022-03-25 12:30:55 +08:00
Jiarui Fang
0bebda6ea5
[zero] fix init device bug in zero init context unittest ( #516 )
2022-03-25 12:24:18 +08:00
fastalgo
a513164379
Update README.md ( #514 )
2022-03-25 12:12:05 +08:00
Jiarui Fang
7ef3507ace
[zero] show model data cuda memory usage after zero context init. ( #515 )
2022-03-25 11:23:35 +08:00
ver217
a2e61d61d4
[zero] zero init ctx enable rm_torch_payload_on_the_fly ( #512 )
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* enable rm_torch_payload_on_the_fly
* polish docstr
2022-03-24 23:44:00 +08:00
Jiarui Fang
81145208d1
[install] run with out rich ( #513 )
2022-03-24 17:39:50 +08:00
HELSON
0f2d219162
[MOE] add MOEGPT model ( #510 )
2022-03-24 17:39:21 +08:00
Jiarui Fang
bca0c49a9d
[zero] use colo model data api in optimv2 ( #511 )
2022-03-24 17:19:34 +08:00
Jiarui Fang
9330be0f3c
[memory] set cuda mem frac ( #506 )
2022-03-24 16:57:13 +08:00
Frank Lee
97933b6710
[devops] recover tsinghua pip source due to proxy issue ( #509 )
2022-03-24 16:11:49 +08:00
Jiarui Fang
0035b7be07
[memory] add model data tensor moving api ( #503 )
2022-03-24 14:29:41 +08:00
Frank Lee
65ad47c35c
[devops] remove tsinghua source for pip ( #507 )
2022-03-24 14:12:02 +08:00
Frank Lee
44f7bcb277
[devops] remove tsinghua source for pip ( #505 )
2022-03-24 14:03:05 +08:00
binmakeswell
af56c1d024
fix discussion button in issue template ( #504 )
2022-03-24 12:25:00 +08:00
Jiarui Fang
a445e118cf
[polish] polish singleton and global context ( #500 )
2022-03-23 18:03:39 +08:00
ver217
9ec1ce6ab1
[zero] sharded model support the reuse of fp16 shard ( #495 )
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* sharded model supports reuse fp16 shard
* rename variable
* polish code
* polish code
* polish code
2022-03-23 14:59:59 +08:00
HELSON
f24b5ed201
[MOE] remove old MoE legacy ( #493 )
2022-03-22 17:37:16 +08:00
ver217
c4c02424f3
[zero] sharded model manages ophooks individually ( #492 )
2022-03-22 17:33:20 +08:00
HELSON
c9023d4078
[MOE] support PR-MOE ( #488 )
2022-03-22 16:48:22 +08:00
ver217
a9ecb4b244
[zero] polish sharded optimizer v2 ( #490 )
2022-03-22 15:53:48 +08:00
ver217
62b0a8d644
[zero] sharded optim support hybrid cpu adam ( #486 )
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* sharded optim support hybrid cpu adam
* update unit test
* polish docstring
2022-03-22 14:56:59 +08:00
Jiarui Fang
b334822163
[zero] polish sharded param name ( #484 )
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* [zero] polish sharded param name
* polish code
* polish
* polish code
* polish
* polsih
* polish
2022-03-22 14:36:16 +08:00
ver217
9caa8b6481
docs get correct release version ( #489 )
2022-03-22 14:24:41 +08:00
HELSON
d7ea63992b
[MOE] add FP32LinearGate for MOE in NaiveAMP context ( #480 )
2022-03-22 10:50:20 +08:00
github-actions[bot]
353566c198
Automated submodule synchronization ( #483 )
...
Co-authored-by: github-actions <github-actions@github.com>
2022-03-22 09:34:26 +08:00