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Fix ote sdk related test failures #1360

Merged
merged 1 commit into from
Nov 14, 2022
Merged

Fix ote sdk related test failures #1360

merged 1 commit into from
Nov 14, 2022

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@sovrasov sovrasov requested a review from a team as a code owner November 11, 2022 09:34
@github-actions github-actions bot added API Any changes in OTX API TEST Any changes in tests labels Nov 11, 2022
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run ote-test

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@github-actions github-actions bot removed the TEST Any changes in tests label Nov 14, 2022
@harimkang harimkang merged commit e9aa688 into develop Nov 14, 2022
@harimkang harimkang deleted the vs/CVS-96069 branch November 14, 2022 11:35
sovrasov added a commit that referenced this pull request Nov 14, 2022
goodsong81 added a commit that referenced this pull request Dec 28, 2022
* Add tiling module (#1200)

* Update submodule branch (#1222)

* Enhance training schedule for multi-label classification (#1212)

* [CVS-88098] Remove initialize from export functions (#1226)

* Train graph added (#1211)

* Add @attrs decorator for base configs (#1229)

* Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233)

* [Anomaly Task] Revert hpo template (#1230)

* 🐞 [Anomaly Task] Fix progress bar (#1223)

* [CVS-90555] Fix NaN value in classification (#1244)

* update hpo_config.yaml (#1240)

* [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)

* [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242)

* [CVS-91472] Add pruning_supported value (#1263)

* Pruning supported tweaks (#1256)

* [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)

* Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269)

* [OTE-TEST] Disable obsolete test cases (#1220)

* [OTE-TEST] hot-fix for MPA performance tests (#1273)

* [Anomaly Task] ✨ Upgrade anomalib (#1243)

* Expose early stopping hyper-parameters for all tasks (#1241)

* Resolve pre-commit issues (#1272)

* Remove LazyEarlyStopHook in model_multilabel.py (#1281)

* Removed xfail (#1239)

* Implement IB loss for incremental learning in multi-class classification (#1289)

* Edit num_workers and change MPA repo as a latest (#1314)

* fix annotation bug (#1320)

* Valid POT configs for small HRNet models (#1313)

* Disable NNCF optimization for FP16 models (#1312)

* fliter object less than 1 pixel  (#1305)

* Fix some tests (#1322)

* [Develop] Move drop_last into MPA (#1357)

* Apply changes from releases/v0.3.1-geti1.0.0 (#1337)

* anomaly save_model bugfix (#1300)

* upgrade networkx module version (#1303)

* Forward CVS-94422 size bug fix PR to release branch (#1326)

* Valid POT configs for small HRNet models (#1317)

* [Release branch] Disable NNCF optimization for FP16 models  (#1319)

* [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329)

* Fix h-label: per-group softmax (#1332)

* Fix dataset length bug in mpa task (#1338)

* Fix drop_last key issue for det/set (#1340)

* Hot-fix for OV inference for iseg output (#1345)

* Fix nncf model export bug (#1346)

* Fixed merge error (#1359)

* Update evaluation iou_thr of ins-seg (#1354)

* fix pre-commit test (#1366)

* Fix dataset item tests (#1360)

* Fix OV Inference issues (tiling tests & detection tests) (#1361)

* fix black & add xfail test cases (#1367)

* Update check_nncf_graph. (#1330)

* [Develop] Hot-fix OV inference issue in rotated detection (#1375)

* [Develop] updated documents (#1383)

* [CVS-94911] Fix difference between train and validation normalization pipeline (#1310)

* Update configs for padim model (#1378)

* updated QUICK_START_GUIDE.md (#1397)

* Change ote threshold of openvino test for cls (#1401)

* Normalize top-1 metrics to [0, 1] (#1394)

* Tiling deployment (#1387)

* Replace current saliency map generation with Recipro-CAM for cls (#1363)

* Class-wise saliency map generation for the detection task (#1402)

* Change submodule to develop (#1410)

* Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413)

* Add active score evaluation to the classification task

* [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416)

* [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414)

* Update SDK commit for exportable code (#1423)

* HRNet-x and HRNe-18--mod2 configs update (#1419)

* [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427)

* [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433)

* Temporary MPA branch while dev->otx merge process

* Update doc & install for dev->otx changes

* Update ote_sdk -> otx.api

* Update ote_cli -> otx.cli

* Update external/mmsegmentation -> otx/algorithms/segmentation

* Align saliency map media instantiation over tasks (#1447)

* Update external/d-o-r -> otx/algorithms/classification

* Update external/mmdetection -> otx/algorithms/detection

* Update external/mpa -> otx/algorithms/*

* Fix CLI test run for better error message

* Numpy constraint for deprecated np.bool error

* Capture stderr only

* Align numpy requirement

* [OTX/Anomaly] Add changes from external to otx (#1452)

* Add changes from external to otx

* Address PR comments

* Update config files + remove backbone from base

* Fix pre-merge checks

* Fix pre-commit issues

* Update exportable code commit

* Fix indent error

* Fix flake8 issue

* Resolve softmax issue w/ FIXME for future work

* Add tiling tests

* Revert MPA branch to otx

Signed-off-by: Songki Choi <[email protected]>
Co-authored-by: Eugene Liu <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Jaeguk Hyun <[email protected]>
Co-authored-by: Nikita Savelyev <[email protected]>
Co-authored-by: Jihwan Eom <[email protected]>
Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Soobee Lee <[email protected]>
Co-authored-by: Lee, Soobee <[email protected]>
Co-authored-by: Emily Chun <[email protected]>
Co-authored-by: ljcornel <[email protected]>
Co-authored-by: Eunwoo Shin <[email protected]>
Co-authored-by: dlyakhov <[email protected]>
Co-authored-by: kprokofi <[email protected]>
Co-authored-by: Sungman Cho <[email protected]>
Co-authored-by: Yunchu Lee <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Alexander Dokuchaev <[email protected]>
Co-authored-by: Vladislav Sovrasov <[email protected]>
Co-authored-by: Evgeny Tsykunov <[email protected]>
Co-authored-by: Galina Zalesskaya <[email protected]>
Co-authored-by: dongkwan-kim <[email protected]>
sungmanc added a commit that referenced this pull request Dec 28, 2022
* make logfile saved in save-model-to directory

* enable train

* make main process train also

* bugfix

* refactor multi gpu training

* make all processs have same output path

* prevent child process from being termated by fokred main process

* refactor multigpu implementation

* refactor multi gpu implementation

* modify argument help sentence

* add multi gpu test code

* align with pre-commit test

* separate multi GPU manager class

* modify train cli argument 'save-logs-to' to 'output-path'

* remove tray excpet during killing child process

* apply output_path to all tasks

* change print to logger

* skip multi gpu test if number of gpu is insufficient

* fix typo

* multi gpu test bugfix

* isort fix

* test case bugfix

* fix typo and change some variable name

* [OTX] Apply changes in develop to feature/otx branch (#1436)

* Add tiling module (#1200)

* Update submodule branch (#1222)

* Enhance training schedule for multi-label classification (#1212)

* [CVS-88098] Remove initialize from export functions (#1226)

* Train graph added (#1211)

* Add @attrs decorator for base configs (#1229)

* Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233)

* [Anomaly Task] Revert hpo template (#1230)

* 🐞 [Anomaly Task] Fix progress bar (#1223)

* [CVS-90555] Fix NaN value in classification (#1244)

* update hpo_config.yaml (#1240)

* [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)

* [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242)

* [CVS-91472] Add pruning_supported value (#1263)

* Pruning supported tweaks (#1256)

* [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)

* Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269)

* [OTE-TEST] Disable obsolete test cases (#1220)

* [OTE-TEST] hot-fix for MPA performance tests (#1273)

* [Anomaly Task] ✨ Upgrade anomalib (#1243)

* Expose early stopping hyper-parameters for all tasks (#1241)

* Resolve pre-commit issues (#1272)

* Remove LazyEarlyStopHook in model_multilabel.py (#1281)

* Removed xfail (#1239)

* Implement IB loss for incremental learning in multi-class classification (#1289)

* Edit num_workers and change MPA repo as a latest (#1314)

* fix annotation bug (#1320)

* Valid POT configs for small HRNet models (#1313)

* Disable NNCF optimization for FP16 models (#1312)

* fliter object less than 1 pixel  (#1305)

* Fix some tests (#1322)

* [Develop] Move drop_last into MPA (#1357)

* Apply changes from releases/v0.3.1-geti1.0.0 (#1337)

* anomaly save_model bugfix (#1300)

* upgrade networkx module version (#1303)

* Forward CVS-94422 size bug fix PR to release branch (#1326)

* Valid POT configs for small HRNet models (#1317)

* [Release branch] Disable NNCF optimization for FP16 models  (#1319)

* [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329)

* Fix h-label: per-group softmax (#1332)

* Fix dataset length bug in mpa task (#1338)

* Fix drop_last key issue for det/set (#1340)

* Hot-fix for OV inference for iseg output (#1345)

* Fix nncf model export bug (#1346)

* Fixed merge error (#1359)

* Update evaluation iou_thr of ins-seg (#1354)

* fix pre-commit test (#1366)

* Fix dataset item tests (#1360)

* Fix OV Inference issues (tiling tests & detection tests) (#1361)

* fix black & add xfail test cases (#1367)

* Update check_nncf_graph. (#1330)

* [Develop] Hot-fix OV inference issue in rotated detection (#1375)

* [Develop] updated documents (#1383)

* [CVS-94911] Fix difference between train and validation normalization pipeline (#1310)

* Update configs for padim model (#1378)

* updated QUICK_START_GUIDE.md (#1397)

* Change ote threshold of openvino test for cls (#1401)

* Normalize top-1 metrics to [0, 1] (#1394)

* Tiling deployment (#1387)

* Replace current saliency map generation with Recipro-CAM for cls (#1363)

* Class-wise saliency map generation for the detection task (#1402)

* Change submodule to develop (#1410)

* Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413)

* Add active score evaluation to the classification task

* [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416)

* [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414)

* Update SDK commit for exportable code (#1423)

* HRNet-x and HRNe-18--mod2 configs update (#1419)

* [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427)

* [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433)

* Temporary MPA branch while dev->otx merge process

* Update doc & install for dev->otx changes

* Update ote_sdk -> otx.api

* Update ote_cli -> otx.cli

* Update external/mmsegmentation -> otx/algorithms/segmentation

* Align saliency map media instantiation over tasks (#1447)

* Update external/d-o-r -> otx/algorithms/classification

* Update external/mmdetection -> otx/algorithms/detection

* Update external/mpa -> otx/algorithms/*

* Fix CLI test run for better error message

* Numpy constraint for deprecated np.bool error

* Capture stderr only

* Align numpy requirement

* [OTX/Anomaly] Add changes from external to otx (#1452)

* Add changes from external to otx

* Address PR comments

* Update config files + remove backbone from base

* Fix pre-merge checks

* Fix pre-commit issues

* Update exportable code commit

* Fix indent error

* Fix flake8 issue

* Resolve softmax issue w/ FIXME for future work

* Add tiling tests

* Revert MPA branch to otx

Signed-off-by: Songki Choi <[email protected]>
Co-authored-by: Eugene Liu <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Jaeguk Hyun <[email protected]>
Co-authored-by: Nikita Savelyev <[email protected]>
Co-authored-by: Jihwan Eom <[email protected]>
Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Soobee Lee <[email protected]>
Co-authored-by: Lee, Soobee <[email protected]>
Co-authored-by: Emily Chun <[email protected]>
Co-authored-by: ljcornel <[email protected]>
Co-authored-by: Eunwoo Shin <[email protected]>
Co-authored-by: dlyakhov <[email protected]>
Co-authored-by: kprokofi <[email protected]>
Co-authored-by: Sungman Cho <[email protected]>
Co-authored-by: Yunchu Lee <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Alexander Dokuchaev <[email protected]>
Co-authored-by: Vladislav Sovrasov <[email protected]>
Co-authored-by: Evgeny Tsykunov <[email protected]>
Co-authored-by: Galina Zalesskaya <[email protected]>
Co-authored-by: dongkwan-kim <[email protected]>

* Apply latest MPA openvinotoolkit/model_preparation_algorithm#105

Signed-off-by: Songki Choi <[email protected]>

Signed-off-by: Songki Choi <[email protected]>
Co-authored-by: eunwoosh <[email protected]>
Co-authored-by: Eugene Liu <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Jaeguk Hyun <[email protected]>
Co-authored-by: Nikita Savelyev <[email protected]>
Co-authored-by: Jihwan Eom <[email protected]>
Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Soobee Lee <[email protected]>
Co-authored-by: Lee, Soobee <[email protected]>
Co-authored-by: Emily Chun <[email protected]>
Co-authored-by: ljcornel <[email protected]>
Co-authored-by: dlyakhov <[email protected]>
Co-authored-by: kprokofi <[email protected]>
Co-authored-by: Sungman Cho <[email protected]>
Co-authored-by: Yunchu Lee <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Alexander Dokuchaev <[email protected]>
Co-authored-by: Vladislav Sovrasov <[email protected]>
Co-authored-by: Evgeny Tsykunov <[email protected]>
Co-authored-by: Galina Zalesskaya <[email protected]>
Co-authored-by: dongkwan-kim <[email protected]>
sungmanc added a commit that referenced this pull request Dec 29, 2022
* make logfile saved in save-model-to directory

* enable train

* make main process train also

* bugfix

* refactor multi gpu training

* make all processs have same output path

* prevent child process from being termated by fokred main process

* refactor multigpu implementation

* refactor multi gpu implementation

* modify argument help sentence

* add multi gpu test code

* align with pre-commit test

* separate multi GPU manager class

* modify train cli argument 'save-logs-to' to 'output-path'

* remove tray excpet during killing child process

* apply output_path to all tasks

* change print to logger

* skip multi gpu test if number of gpu is insufficient

* fix typo

* multi gpu test bugfix

* isort fix

* test case bugfix

* fix typo and change some variable name

* [OTX] Apply changes in develop to feature/otx branch (#1436)

* Add tiling module (#1200)

* Update submodule branch (#1222)

* Enhance training schedule for multi-label classification (#1212)

* [CVS-88098] Remove initialize from export functions (#1226)

* Train graph added (#1211)

* Add @attrs decorator for base configs (#1229)

* Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233)

* [Anomaly Task] Revert hpo template (#1230)

* 🐞 [Anomaly Task] Fix progress bar (#1223)

* [CVS-90555] Fix NaN value in classification (#1244)

* update hpo_config.yaml (#1240)

* [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)

* [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242)

* [CVS-91472] Add pruning_supported value (#1263)

* Pruning supported tweaks (#1256)

* [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)

* Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269)

* [OTE-TEST] Disable obsolete test cases (#1220)

* [OTE-TEST] hot-fix for MPA performance tests (#1273)

* [Anomaly Task] ✨ Upgrade anomalib (#1243)

* Expose early stopping hyper-parameters for all tasks (#1241)

* Resolve pre-commit issues (#1272)

* Remove LazyEarlyStopHook in model_multilabel.py (#1281)

* Removed xfail (#1239)

* Implement IB loss for incremental learning in multi-class classification (#1289)

* Edit num_workers and change MPA repo as a latest (#1314)

* fix annotation bug (#1320)

* Valid POT configs for small HRNet models (#1313)

* Disable NNCF optimization for FP16 models (#1312)

* fliter object less than 1 pixel  (#1305)

* Fix some tests (#1322)

* [Develop] Move drop_last into MPA (#1357)

* Apply changes from releases/v0.3.1-geti1.0.0 (#1337)

* anomaly save_model bugfix (#1300)

* upgrade networkx module version (#1303)

* Forward CVS-94422 size bug fix PR to release branch (#1326)

* Valid POT configs for small HRNet models (#1317)

* [Release branch] Disable NNCF optimization for FP16 models  (#1319)

* [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329)

* Fix h-label: per-group softmax (#1332)

* Fix dataset length bug in mpa task (#1338)

* Fix drop_last key issue for det/set (#1340)

* Hot-fix for OV inference for iseg output (#1345)

* Fix nncf model export bug (#1346)

* Fixed merge error (#1359)

* Update evaluation iou_thr of ins-seg (#1354)

* fix pre-commit test (#1366)

* Fix dataset item tests (#1360)

* Fix OV Inference issues (tiling tests & detection tests) (#1361)

* fix black & add xfail test cases (#1367)

* Update check_nncf_graph. (#1330)

* [Develop] Hot-fix OV inference issue in rotated detection (#1375)

* [Develop] updated documents (#1383)

* [CVS-94911] Fix difference between train and validation normalization pipeline (#1310)

* Update configs for padim model (#1378)

* updated QUICK_START_GUIDE.md (#1397)

* Change ote threshold of openvino test for cls (#1401)

* Normalize top-1 metrics to [0, 1] (#1394)

* Tiling deployment (#1387)

* Replace current saliency map generation with Recipro-CAM for cls (#1363)

* Class-wise saliency map generation for the detection task (#1402)

* Change submodule to develop (#1410)

* Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413)

* Add active score evaluation to the classification task

* [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416)

* [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414)

* Update SDK commit for exportable code (#1423)

* HRNet-x and HRNe-18--mod2 configs update (#1419)

* [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427)

* [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433)

* Temporary MPA branch while dev->otx merge process

* Update doc & install for dev->otx changes

* Update ote_sdk -> otx.api

* Update ote_cli -> otx.cli

* Update external/mmsegmentation -> otx/algorithms/segmentation

* Align saliency map media instantiation over tasks (#1447)

* Update external/d-o-r -> otx/algorithms/classification

* Update external/mmdetection -> otx/algorithms/detection

* Update external/mpa -> otx/algorithms/*

* Fix CLI test run for better error message

* Numpy constraint for deprecated np.bool error

* Capture stderr only

* Align numpy requirement

* [OTX/Anomaly] Add changes from external to otx (#1452)

* Add changes from external to otx

* Address PR comments

* Update config files + remove backbone from base

* Fix pre-merge checks

* Fix pre-commit issues

* Update exportable code commit

* Fix indent error

* Fix flake8 issue

* Resolve softmax issue w/ FIXME for future work

* Add tiling tests

* Revert MPA branch to otx

Signed-off-by: Songki Choi <[email protected]>
Co-authored-by: Eugene Liu <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Jaeguk Hyun <[email protected]>
Co-authored-by: Nikita Savelyev <[email protected]>
Co-authored-by: Jihwan Eom <[email protected]>
Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Soobee Lee <[email protected]>
Co-authored-by: Lee, Soobee <[email protected]>
Co-authored-by: Emily Chun <[email protected]>
Co-authored-by: ljcornel <[email protected]>
Co-authored-by: Eunwoo Shin <[email protected]>
Co-authored-by: dlyakhov <[email protected]>
Co-authored-by: kprokofi <[email protected]>
Co-authored-by: Sungman Cho <[email protected]>
Co-authored-by: Yunchu Lee <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Alexander Dokuchaev <[email protected]>
Co-authored-by: Vladislav Sovrasov <[email protected]>
Co-authored-by: Evgeny Tsykunov <[email protected]>
Co-authored-by: Galina Zalesskaya <[email protected]>
Co-authored-by: dongkwan-kim <[email protected]>

* Apply latest MPA openvinotoolkit/model_preparation_algorithm#105

Signed-off-by: Songki Choi <[email protected]>

Signed-off-by: Songki Choi <[email protected]>
Co-authored-by: eunwoosh <[email protected]>
Co-authored-by: Eugene Liu <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Jaeguk Hyun <[email protected]>
Co-authored-by: Nikita Savelyev <[email protected]>
Co-authored-by: Jihwan Eom <[email protected]>
Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Soobee Lee <[email protected]>
Co-authored-by: Lee, Soobee <[email protected]>
Co-authored-by: Emily Chun <[email protected]>
Co-authored-by: ljcornel <[email protected]>
Co-authored-by: dlyakhov <[email protected]>
Co-authored-by: kprokofi <[email protected]>
Co-authored-by: Sungman Cho <[email protected]>
Co-authored-by: Yunchu Lee <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Alexander Dokuchaev <[email protected]>
Co-authored-by: Vladislav Sovrasov <[email protected]>
Co-authored-by: Evgeny Tsykunov <[email protected]>
Co-authored-by: Galina Zalesskaya <[email protected]>
Co-authored-by: dongkwan-kim <[email protected]>
harimkang added a commit that referenced this pull request Dec 30, 2022
* Initial commit: integrate MPA intothe OTX

* Update Self-SL for seg

* Enable pre-commit tests by ignoring imports, remove useless requirements

* Edit the requirements

* Add dist folder

* fix black

* [OTX] Rebase latest changes for MPA merge (#1468)

* make logfile saved in save-model-to directory

* enable train

* make main process train also

* bugfix

* refactor multi gpu training

* make all processs have same output path

* prevent child process from being termated by fokred main process

* refactor multigpu implementation

* refactor multi gpu implementation

* modify argument help sentence

* add multi gpu test code

* align with pre-commit test

* separate multi GPU manager class

* modify train cli argument 'save-logs-to' to 'output-path'

* remove tray excpet during killing child process

* apply output_path to all tasks

* change print to logger

* skip multi gpu test if number of gpu is insufficient

* fix typo

* multi gpu test bugfix

* isort fix

* test case bugfix

* fix typo and change some variable name

* [OTX] Apply changes in develop to feature/otx branch (#1436)

* Add tiling module (#1200)

* Update submodule branch (#1222)

* Enhance training schedule for multi-label classification (#1212)

* [CVS-88098] Remove initialize from export functions (#1226)

* Train graph added (#1211)

* Add @attrs decorator for base configs (#1229)

* Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233)

* [Anomaly Task] Revert hpo template (#1230)

* 🐞 [Anomaly Task] Fix progress bar (#1223)

* [CVS-90555] Fix NaN value in classification (#1244)

* update hpo_config.yaml (#1240)

* [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)

* [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242)

* [CVS-91472] Add pruning_supported value (#1263)

* Pruning supported tweaks (#1256)

* [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)

* Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269)

* [OTE-TEST] Disable obsolete test cases (#1220)

* [OTE-TEST] hot-fix for MPA performance tests (#1273)

* [Anomaly Task] ✨ Upgrade anomalib (#1243)

* Expose early stopping hyper-parameters for all tasks (#1241)

* Resolve pre-commit issues (#1272)

* Remove LazyEarlyStopHook in model_multilabel.py (#1281)

* Removed xfail (#1239)

* Implement IB loss for incremental learning in multi-class classification (#1289)

* Edit num_workers and change MPA repo as a latest (#1314)

* fix annotation bug (#1320)

* Valid POT configs for small HRNet models (#1313)

* Disable NNCF optimization for FP16 models (#1312)

* fliter object less than 1 pixel  (#1305)

* Fix some tests (#1322)

* [Develop] Move drop_last into MPA (#1357)

* Apply changes from releases/v0.3.1-geti1.0.0 (#1337)

* anomaly save_model bugfix (#1300)

* upgrade networkx module version (#1303)

* Forward CVS-94422 size bug fix PR to release branch (#1326)

* Valid POT configs for small HRNet models (#1317)

* [Release branch] Disable NNCF optimization for FP16 models  (#1319)

* [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329)

* Fix h-label: per-group softmax (#1332)

* Fix dataset length bug in mpa task (#1338)

* Fix drop_last key issue for det/set (#1340)

* Hot-fix for OV inference for iseg output (#1345)

* Fix nncf model export bug (#1346)

* Fixed merge error (#1359)

* Update evaluation iou_thr of ins-seg (#1354)

* fix pre-commit test (#1366)

* Fix dataset item tests (#1360)

* Fix OV Inference issues (tiling tests & detection tests) (#1361)

* fix black & add xfail test cases (#1367)

* Update check_nncf_graph. (#1330)

* [Develop] Hot-fix OV inference issue in rotated detection (#1375)

* [Develop] updated documents (#1383)

* [CVS-94911] Fix difference between train and validation normalization pipeline (#1310)

* Update configs for padim model (#1378)

* updated QUICK_START_GUIDE.md (#1397)

* Change ote threshold of openvino test for cls (#1401)

* Normalize top-1 metrics to [0, 1] (#1394)

* Tiling deployment (#1387)

* Replace current saliency map generation with Recipro-CAM for cls (#1363)

* Class-wise saliency map generation for the detection task (#1402)

* Change submodule to develop (#1410)

* Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413)

* Add active score evaluation to the classification task

* [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416)

* [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414)

* Update SDK commit for exportable code (#1423)

* HRNet-x and HRNe-18--mod2 configs update (#1419)

* [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427)

* [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433)

* Temporary MPA branch while dev->otx merge process

* Update doc & install for dev->otx changes

* Update ote_sdk -> otx.api

* Update ote_cli -> otx.cli

* Update external/mmsegmentation -> otx/algorithms/segmentation

* Align saliency map media instantiation over tasks (#1447)

* Update external/d-o-r -> otx/algorithms/classification

* Update external/mmdetection -> otx/algorithms/detection

* Update external/mpa -> otx/algorithms/*

* Fix CLI test run for better error message

* Numpy constraint for deprecated np.bool error

* Capture stderr only

* Align numpy requirement

* [OTX/Anomaly] Add changes from external to otx (#1452)

* Add changes from external to otx

* Address PR comments

* Update config files + remove backbone from base

* Fix pre-merge checks

* Fix pre-commit issues

* Update exportable code commit

* Fix indent error

* Fix flake8 issue

* Resolve softmax issue w/ FIXME for future work

* Add tiling tests

* Revert MPA branch to otx

Signed-off-by: Songki Choi <[email protected]>
Co-authored-by: Eugene Liu <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Jaeguk Hyun <[email protected]>
Co-authored-by: Nikita Savelyev <[email protected]>
Co-authored-by: Jihwan Eom <[email protected]>
Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Soobee Lee <[email protected]>
Co-authored-by: Lee, Soobee <[email protected]>
Co-authored-by: Emily Chun <[email protected]>
Co-authored-by: ljcornel <[email protected]>
Co-authored-by: Eunwoo Shin <[email protected]>
Co-authored-by: dlyakhov <[email protected]>
Co-authored-by: kprokofi <[email protected]>
Co-authored-by: Sungman Cho <[email protected]>
Co-authored-by: Yunchu Lee <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Alexander Dokuchaev <[email protected]>
Co-authored-by: Vladislav Sovrasov <[email protected]>
Co-authored-by: Evgeny Tsykunov <[email protected]>
Co-authored-by: Galina Zalesskaya <[email protected]>
Co-authored-by: dongkwan-kim <[email protected]>

* Apply latest MPA openvinotoolkit/model_preparation_algorithm#105

Signed-off-by: Songki Choi <[email protected]>

Signed-off-by: Songki Choi <[email protected]>
Co-authored-by: eunwoosh <[email protected]>
Co-authored-by: Eugene Liu <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Jaeguk Hyun <[email protected]>
Co-authored-by: Nikita Savelyev <[email protected]>
Co-authored-by: Jihwan Eom <[email protected]>
Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Soobee Lee <[email protected]>
Co-authored-by: Lee, Soobee <[email protected]>
Co-authored-by: Emily Chun <[email protected]>
Co-authored-by: ljcornel <[email protected]>
Co-authored-by: dlyakhov <[email protected]>
Co-authored-by: kprokofi <[email protected]>
Co-authored-by: Sungman Cho <[email protected]>
Co-authored-by: Yunchu Lee <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Alexander Dokuchaev <[email protected]>
Co-authored-by: Vladislav Sovrasov <[email protected]>
Co-authored-by: Evgeny Tsykunov <[email protected]>
Co-authored-by: Galina Zalesskaya <[email protected]>
Co-authored-by: dongkwan-kim <[email protected]>

* Resolve some flake8 issues

* Fix semisl trainer import (#1471)

Co-authored-by: Lee, Soobee <[email protected]>

* Fixisort

* Rebase and fix isort

Signed-off-by: Songki Choi <[email protected]>
Co-authored-by: Songki Choi <[email protected]>
Co-authored-by: eunwoosh <[email protected]>
Co-authored-by: Eugene Liu <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Jaeguk Hyun <[email protected]>
Co-authored-by: Nikita Savelyev <[email protected]>
Co-authored-by: Jihwan Eom <[email protected]>
Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Soobee Lee <[email protected]>
Co-authored-by: Lee, Soobee <[email protected]>
Co-authored-by: Emily Chun <[email protected]>
Co-authored-by: ljcornel <[email protected]>
Co-authored-by: dlyakhov <[email protected]>
Co-authored-by: kprokofi <[email protected]>
Co-authored-by: Yunchu Lee <[email protected]>
Co-authored-by: Ashwin Vaidya <[email protected]>
Co-authored-by: Alexander Dokuchaev <[email protected]>
Co-authored-by: Vladislav Sovrasov <[email protected]>
Co-authored-by: Evgeny Tsykunov <[email protected]>
Co-authored-by: Galina Zalesskaya <[email protected]>
Co-authored-by: dongkwan-kim <[email protected]>
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