920a44b0ce
move files
2021-05-24 11:43:47 +08:00
0d832a2539
Enable profiler, for both static and dynamic training. ( #729 )
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* Enable profiler for static training.
* Polish the initialize of ProfilerOptions.
* Enable profiler for dynamic mode.
2021-05-21 10:31:43 +08:00
5170153ee3
merge with upstream/develop
2021-05-08 11:16:41 +00:00
a9bce0409d
fix tools/train.py
2021-05-08 08:42:30 +00:00
55fa094e60
fix one card eval in multicards training
2021-05-08 05:29:12 +00:00
e165897c37
fix drop last for training process ( #713 )
2021-05-06 14:21:54 +08:00
9c0f049603
fix export model eval ( #710 )
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* adapt to net.eval for the framework just contains training flag setting
* fix bug when export swin transformer
2021-05-06 13:55:11 +08:00
dd70cb1bb0
Fix HubServing demo ( #708 )
2021-04-30 16:10:17 +08:00
14a93e7933
[Kunlun]add multi xpu support for PaddleClas about dygraph ( #690 )
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* add multi xpu support for PaddleClas about dygraph
* add dygraph multi xpu support
2021-04-29 17:08:26 +08:00
f17343b017
add support for eval using inference engine ( #696 )
2021-04-26 15:18:04 +08:00
64fad361ab
Fix the exception of DALI
2021-04-16 10:55:31 +08:00
c3d401b7ea
add multi xpu support for PaddleClas ( #678 )
2021-04-14 22:31:36 +08:00
a7aa14525c
fix repvgg eval ( #677 )
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* fix repvgg eval
* fix dp training
* fix single card train
2021-04-14 02:16:13 +08:00
2e62e2e25e
fix loss reduce from dict to list ( #679 )
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* fix loss reduce from dict to list
* remove note
2021-04-13 23:19:36 +08:00
a6e2114e32
add find_unused_parameters param ( #668 )
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* add find_unused_parameters param
* fix default val
2021-04-06 21:29:38 +08:00
4523d4246d
Adapt paddle_inference 2.0.1 API ( #667 )
2021-04-06 10:52:40 +08:00
fee32b555a
fix small error
2021-03-30 17:14:25 +08:00
5fd7085ddf
add multilabel feature
2021-03-30 16:02:32 +08:00
8a469799af
support bs>1 ( #651 )
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* support bs>1
2021-03-26 18:52:50 +08:00
8832a3fa0a
Support Visual DL ( #650 )
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* Support Visual DL
* Fix VDL
* Add doc of VDL, test=document_fix
* Add the en doc of VDL, test=document_fix
Co-authored-by: littletomatodonkey <2120160898@bit.edu.cn>
2021-03-23 12:45:01 +08:00
4ba3d47e31
Merge branch 'develop' into cp_fp16_training
2021-03-01 16:18:26 +08:00
aeccae2128
fix oom for batch_size=208 ( #618 )
2021-03-01 12:37:17 +08:00
4e43ec6995
new usage of amp training. ( #564 )
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* new usage of amp training.
* change the usage of amp and pure fp16 training.
* modified code as reviews
2021-02-26 09:25:54 +00:00
ba17052a54
add eta info ( #613 )
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* add eta info
* rm duplicate desc
2021-02-26 13:40:40 +08:00
c8a155635e
fix train and save ( #594 )
2021-02-01 22:24:25 +08:00
aa8e3c1183
Fix the mertirc_list when \'use_mix==True\' ( #529 )
2020-12-30 17:36:56 +08:00
8c82d89469
Fix the calculation method of batch_time and reader_time ( #528 )
2020-12-30 17:07:50 +08:00
c213c9fc5f
Fix the training log in static graph ( #525 )
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* Adapt to PaddleHub2.0 to eliminate warning
* Fix the training log format
2020-12-30 14:43:00 +08:00
e7dbecd22e
fix predict ( #527 )
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* fix predict
* fix export model
* fix doc
2020-12-30 14:28:06 +08:00
918e68a934
fix bug for kunlun ( #518 )
2020-12-28 13:43:05 +08:00
11ef05ca32
Update the hubserving ( #517 )
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* Fix the timing of hubserving
2020-12-28 13:28:06 +08:00
aa65556433
Adapt to PaddleHub2.0 ( #512 )
2020-12-24 18:21:37 +08:00
62fd192784
optimizer fleet distributed strategy ( #500 )
2020-12-18 11:18:58 +08:00
eb945e5d69
Fix "tar" to "pdparams" to adapt to dygraph ( #496 )
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* Fix "tar" to "pdparams" to adapt to dygraph
* Update the download link of Paddle Inference Library
2020-12-17 23:20:16 +08:00
6ddd8049e0
Add "cpu_num_threads" and "enable_profile" ( #494 )
2020-12-17 15:23:29 +08:00
8fd56a4503
fix static train ( #478 )
2020-12-15 16:43:15 +08:00
29b305d228
add profile for pred ( #476 )
2020-12-15 14:32:07 +08:00
dc3020ab4a
support fp16 training ( #435 )
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* support fp16 training
* Use compiled training program
* Change timing ips.
* Use dali
* add pure fp16 training
* fix a bug, which will not use fuse pass using pure fp16 training.
* modify code as review
* modify loss, so that it will use different loss when using pure fp16 training.
* remove some fluid API
* add static optimizer.
2020-12-11 11:04:51 +08:00
9992415867
add mkldnn speed problm ( #465 )
2020-12-11 00:39:12 +08:00
b9d243f854
Update utils.py
2020-12-11 00:24:14 +08:00
15b18973f1
fix eval script ( #464 )
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* fix eval script
* fix dali shell
2020-12-10 23:45:58 +08:00
e3801c5515
Fix the bug about calling create_predictor repeatedly in hubserving ( #462 )
2020-12-10 01:15:24 +08:00
066d53f8ec
support cpu/xpu/gpu in static graph ( #460 )
2020-12-08 20:59:23 +08:00
a76e404d9c
fix time sta ( #457 )
2020-12-08 17:05:00 +08:00
1ecf8334ff
fix pred ( #450 )
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* fix pred
* fix resnest
* fix hrnet se
* fix se for export
2020-12-06 03:08:44 +08:00
0df5ba63df
Update test_hubserving.py
2020-12-04 10:43:56 +08:00
049cbb26d7
Update run_dali.sh
2020-12-03 15:58:07 +08:00
1e4925704d
fix dali train ( #446 )
2020-12-03 15:48:35 +08:00
e92cb0b93c
fix init model in static mode ( #444 )
2020-12-03 12:50:33 +08:00
fff2a92b25
add shell scripts to run training on single node and multiple nodes. ( #424 )
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* add shells, test=develop
2020-12-03 11:11:39 +08:00
weishengyu
Yiqun Liu
liuyuhui
littletomatodonkey
Tingquan Gao
liuyuhui
yaohai
Zhang Ting
huangxu96
QingshuChen
WangXi
QingshuChen
lilong12