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Change samples_per_gpu in _infer_model(Detection) #2041

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jaegukhyun
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Summary

Change batch size for test.

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Checklist

  • I have added unit tests to cover my changes.​
  • I have added integration tests to cover my changes.​
  • I have added e2e tests for validation.
  • I have added the description of my changes into CHANGELOG in my target branch (e.g., CHANGELOG in develop).​
  • I have updated the documentation in my target branch accordingly (e.g., documentation in develop).
  • I have linked related issues.

License

  • I submit my code changes under the same Apache License that covers the project.
    Feel free to contact the maintainers if that's a concern.
  • I have updated the license header for each file (see an example below).
# Copyright (C) 2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

@jaegukhyun jaegukhyun requested a review from a team as a code owner April 20, 2023 08:52
@github-actions github-actions bot added the ALGO Any changes in OTX Algo Tasks implementation label Apr 20, 2023
@goodsong81 goodsong81 merged commit 0d3002a into openvinotoolkit:releases/1.2.0 Apr 20, 2023
goodsong81 added a commit that referenced this pull request Apr 21, 2023
* HOT-FIX: Revert segmentation model's ignore mode in CLI (#2011)

Revert segmentation ignore=True

* Improve tiling preprocess (#2013)

* prevent timeout during init phase

* Fix reg tests (#2008)

* Edit regression tests

* Change the dataset root

* Miss typo

* Fix pre-commit

* Fix openvino import error due to Tiler init import (#2015)

Remove init import for Tiler to prevent OpenVINO import

* Bump up version to 1.2.0 (#2017)

* Set the python version to "3.10" for code-scan workflow

* Add missing __init__.py (#2019)

* Add missing __init__.py

* Change license

* Release 1.2.0rc1

* Fix issue that str2bool not being applied in certain cases (#2023)

* Add workaround solution

* Fix minor

* Remove str int

* Fix default dict (#2025)

fix: change default to configdict

Signed-off-by: Inhyuk Andy Cho <[email protected]>

* Convert dummy datasets to toy datasets (#1988)

* Update cls, det datsets

* Remove useless files

* Change action datasets

* Edit action dataset

* change dir

* Add xml files

* Remove useless

* Edite tets

* Fix tests

* Fix tests

* Remove ptc

* Remove

* Fix precommit

* Update dataset, fix cls bug

* Remove useless dataset

* Edit drop_last

* Fix missed part

* Change threshold values to unifying

* bugfix: squeezing to 1 dimenetion

* Change threshold for deployment

* Fix multi-gpu issue, e2e tests

* Decrease num_workers for tiling test and tiling processes

* Revert num_workers for tests

* Fix datsets

---------

Co-authored-by: eunwoosh <[email protected]>

* Fix E2E tests (#2032)

* Optimize data preprocessing time and enhance overall performance in semantic segmentation (#2020)

* HOTFIX: change doc version to 1.2.0

* Add storage cache in Apache Arrow format using Datumaro (#2009)

* feat: change label entity to dictionay

* feat: add datumaro arrow cache

* refacor: move to proper directory

* fix: align to the latest

* fix: align data to otx

* fix: align new version

* refactor: disable storage cache for action tasks

* test: fix

* fix: version back

* docs: add to changelog

* fix: keep __height, __width

* docs: add description

* test: revert tests

* fix: revert back to list

* style: ruff

* HOT-FIX: Revert segmentation model's ignore mode in CLI (Develop) (#2012)

Revert segmentation ignore=True

* fix: make force verbose

* test: add storage cache test

* feat: datumaro 1.2.0

* test: test path exists

* test: do deepcopy

* style: make black happy

---------

Signed-off-by: Inhyuk Andy Cho <[email protected]>
Co-authored-by: Harim Kang <[email protected]>

* Fix typo in prediction_to_annotation_converter.py (#2028)

* HOT-FIX: Revert segmentation model's ignore mode in CLI (Develop) (#2012)

Revert segmentation ignore=True

* Bump up version to 1.3.0rc0 (#2016)

* bug fix

* del

* revert

* revert changlog

---------

Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Songki Choi <[email protected]>

* Fix tiling config loading bug (#2030)

* fix tiling loading bug

* fix mypy

* Make multi gpu child processes done right after evaluation (#2033)

* Fixes in exportable code (#2031)

* Create Actions domain and task type despite flag

* Move import torch to the function

* Fix str in dump_features

* Move dump_frames to otx/api/utils

* Remove __pycache__ from dunped exportable code

* Add tests for demo --output option

* Update sha for exportable code requirements

* Add flag to task_type_to_label_domain

* Roll back tests creation to add it in separate PR

* Add FEATURE_FLAGS_OTX_ACTION_TASKS init in demo.py

* Remove extra comments

* Fix linter

* Add documentation for the noisy label detection feature (#2034)

* Add documentation for noisy label detection feature

Signed-off-by: Kim, Vinnam <[email protected]>

* Update CHANGELOG.md

Signed-off-by: Kim, Vinnam <[email protected]>

* Add documentation

Signed-off-by: Kim, Vinnam <[email protected]>

* Fix typo

Signed-off-by: Kim, Vinnam <[email protected]>

* Fix small typo

---------

Signed-off-by: Kim, Vinnam <[email protected]>
Co-authored-by: Songki Choi <[email protected]>

* Remove skip tests, fix regression tests (#2036)

* Remove skip tests, fix regression tests

* Fix precommit

* Hide internal options from external GUI (#2037)

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

* Add unit test for classification task and configurer (#2035)

* Reduce the depth of aumix process (#2038)

Enable light augmix

* Change samples_per_gpu in _infer_model(Detection) (#2041)

Change samples_per_gpu in _infer_model

* Decrease batch size if CUDA OOM occurs (#2022)

* implement adpating bs

* refine impl

* implement adaptive bs also in cls, seg task

* refine adapt bs algo to consider gpu util

* refactor code

* write comment and docstring

* implement decreasig bs on action task

* update learning rate after decreasing batch size

* implement test code of mmcv automatic_bs file

* remove meta modification

* remove unused improt

* implement test code of torch automatic_bs file

* align with pre commit

* add line to tell not supporting anomaly

* update CHANGELOG

* update docs

* change argument help

* change file name

* apply pr comment

* add auto_decrease_bs in learning parameters

* align with pre commit

* fix typo

* add integration test

* bugfix

* update test code

* not execute algo in nncf

* suppor nncf

* apply comment

* align with pre commit

* change method to set value

* refine warning comment

* remove breakpoint

* make hpo not use auto decrease batch size

* refine warning & typo fix

* align with pre commit

* Update CHANGELOG.md

Co-authored-by: Sungman Cho <[email protected]>

* update unit test

* update integration test

* bufix

* Release 1.2.0rc2

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

* Update OTX commit hash for exportable code requiements

---------

Signed-off-by: Inhyuk Andy Cho <[email protected]>
Signed-off-by: Kim, Vinnam <[email protected]>
Signed-off-by: Songki Choi <[email protected]>
Co-authored-by: Harim Kang <[email protected]>
Co-authored-by: Eugene Liu <[email protected]>
Co-authored-by: Sungman Cho <[email protected]>
Co-authored-by: Yunchu Lee <[email protected]>
Co-authored-by: Jaeguk Hyun <[email protected]>
Co-authored-by: Inhyuk Cho <[email protected]>
Co-authored-by: eunwoosh <[email protected]>
Co-authored-by: Soobee Lee <[email protected]>
Co-authored-by: Galina Zalesskaya <[email protected]>
Co-authored-by: Vinnam Kim <[email protected]>
@jaegukhyun jaegukhyun deleted the det-single-batch-infer branch June 2, 2023 01:11
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