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Use detectron2 visualizer and update quickstart (open-mmlab#2502)
* Adding tutorial for converting data to COCO format. * adding python script to get all unique classes in voc format, and dump all annotation xml files * adding docs * adding docs * refactor function name * Reformat * Reformat: single quote to double quote * Added inference from pretrained. Added Visualization * Adding visualization. Now `get_voc_format_classes` dumps class_names when labels.txt is not present. * Reformat previous commit. * Addressing issues in PR#2298. * Addressing usage of voc2coco.py * Reformat files to pass Lint Check * Deleting as_pandas. Adding default saving path. * Reformatting to pass Lint Check * Reformatting to pass Lint Check * Reformat imports * Adding save results to data frame. Deprecating `get_voc_format_classes` to using `get_detection_classes`. Refactoring saving results to utils. * Reformat for Lint * Reformat for Lint * Finalizing saving results; Refactored visualization into predictor.py. * Add running instructions * Lint check * Removing unused imports * Addressing issues in code review: deleting unused functions, refactoring visualization to a separate function call outside predict, removing prints, modifying doc strings, adding TODO to use mmdet visualization later, * removing mypy * Adding tutorials for running inference, saving results, and visualization. * fixing save_path issue * Added in index.rst instructions to install mmdet, add return detection as df by setting as_pandas flag, added quick start tutorial with downloading tiny motorbike, added warning in predict init for mmdet and mmcv-full, reorganized tutorials, * Add mmdet, mmcv-full links * Addressing issues in reviews * Removing .input * changing quick start coco_*.json to *_cocoformat.json. putting `mim install mmcv-full` before `pip install mmdet` * Editing visualize_detection to take as input pd.DataFrame. Fixed a bug in save results. Update tutorials * refactor text semantic search tutorial (open-mmlab#2375) * Minor fix to infer_speed calc (open-mmlab#2374) * Refactor the clip embedding tutorial (open-mmlab#2378) * refactor the clip embedding tutorial * address comments * Auto-switch to additive attention for FTT (open-mmlab#2379) * Remove build_all from platform tests (open-mmlab#2382) * [timeseries] Fix use of dataframe.iteritems in timeseries (open-mmlab#2385) * [timeseries] fix usage of pandas iteritems in timeseries * fix black and isort * [v0.6] Updated dependency versions (open-mmlab#2373) * Updated dependency versions * fix XGBoost slowdown by adding small min_delta to early stopping * Modified default parameters for FTT (open-mmlab#2386) * Modified default parameters for FTT * Modified default parameters for FTT * [Tutorial] Update AutoMM Detection Tutorial (open-mmlab#2380) * Updated the logic to infer rois. * remove tutorial and a minor fix * add raw_feature for hf_text * add onnx export * black * format and hp changes * black * fix get_column_features for other modality, need refactor * add export_onnx, remove index vectorization * minor fixes * black * add eval * remove hard code in get_processed_batch * remove hardcoded batch size * fix bug and refactor * black * add descriptions for functions * lint * update example and fix comments * remove extra inpit * change back config * fix label column infer in _predict * update feature extraction example * black * add test add fix several comments * black * black * lint * add onnxruntime in setup * fix * remove code for test * black * remove print in test * remove default batch test * skip onnx test for version conflict * edit setup * minor fix * change eval to evaluate * fix merge * fix merge * change cascade_rcnn_x101 to a smaller centernet in detection test * increase timeout from 15 to 120 for mim install * update centernet version * fix * change to maskrcnn * finished ft, testing val metric * complete val metric integration for obj detection * fix val bug * fix val_metric error * yolo voc finetune success * refactors * remove COLLECTION * refactors * refactor * refactor * black * small fic * small fix * black * lint * lint * lint * fix pred without label * fix ocr * add comments * add comments * fix merge * revert detection inference example change * fix a conflict in matcher and update a dependency for mmocr * decrease mim timeout to 60 second * import mmcv only when use * import mmcv only when use * black * black * bug fix * bug fix * update detection eval example * add todo mark * cleaner code and black * resolve several comments * change infer_label_column_type_by's name * fix typo * add todo mark * change constant map to mAP * change mmcv_model constant to mmlab_models * lint * add todos and add if det to reset_index * multi gpu training * black * add val_metric option and fix some TODOs * small refactors * black * lint * fix circular import * black * small fix * fix collate and better integrate with lightning for detection * remove unnecessary save/load * remove train_to_val and val_to_train in litmmdet * fix map * temp fix for MMOCR, need to update * enable multigpu inference * merge * lint * fix single gpu inference * add doc * skip ocr test for now * black * black * rename output_shape to num_classes * fix * add a TODO * add train from scratch for detection model * fix hardcoding for voc and coco while load coco format data * black * small fix and add voc2coco tool * update voc2coco.py * fix type * fix voc2coco * fix * fix classes hardcode and add support for two stage lr * fix single gpu eval and fix torchmetrics eval * add support for voc format input * fix a word * add preset, fix eval bug for voc * some refactors * black and small refactor * lint * fix assets loading * fix * black * add docs * open PIL safely to avoid resource warning * add fasterrcnn 2 stage lr and black * add set_num_gpus * add evaluation tutorial * refine documents * update ddetr * fix typo * change ref names * merge * add eval on voc and default two stage setting * finish tutorial in datasets preparation * small fix * update tutorial and codes * add EOF line and remove finetune script * black * fix typo in docs * fix wordings and add get_detection_classes, fix voc2coco, fix predict * fix type * small update * fix predict df error * fix voc2coco * add finetune tutorial and support vfnet, raise error for mask models * add voc2coco tutorial * add eof * update doc * minor * support more models and skip image size if not in config * black * update docs * add load predictor and change to problem type * update fps information * update load preditor example * fix type * update tutorial * move val_metric * add presets and fix val_metric in tuto and example * black * remove mypy in test_common * fix * change preset name * restart ci * index tutorial and fix save_path problem * fix get_num_gpu * fix save_path * fix tuto and example typo and path error * add a TODO and force detection not realtime in _predict * fix voc2coco * black * bug bash + quick start * merge * merge * fix save_path problem for DDP * black * update warning * update tutorial, lint * update tuto * update voc to coco * lint * refine index * lint * update docs in multimodal * update the multimodal index * add doc depth * fix save path init * restart ci * restart ci * fix save_path in fit * fix save_path * fix save_path * update quick start * update cli in doc * change prefix coco to postfix cocoformat for voc2coco * fix s3 path and index error * restart ci * install necessary packages * restart ci * add build mmcv in .github * fix mmlab installation * fix * fix mmcv install in tuto * fix * fix * fix index * update docs * refine quick start * remove unnecessary warnings * restart ci * replace voc2012 to 2007 * Update tutorial links (open-mmlab#2381) * update to raw content * trigger ci * fix inconsistencies in AutoMM tutorials (open-mmlab#2388) * Fix FTTransformer errors, add max_features (open-mmlab#2389) * Fix FTTransformer errors, add max_features * Hide progress bar if verbosity<=2 FTT * Create save_path in init and remove warning in fit (open-mmlab#2392) * create save_path in init and remove warning in fit * remove unecessary line * fix * [timeseries] Update tutorials and FAQ (open-mmlab#2355) Co-authored-by: Caner Turkmen <turkmen.ac@gmail.com> * [Tutorial] Fix AutoMM detection tutorial layouts and cli tool (open-mmlab#2391) * minor fixes * black * add eval * remove hard code in get_processed_batch * remove hardcoded batch size * fix bug and refactor * black * add descriptions for functions * lint * update example and fix comments * remove extra inpit * change back config * fix label column infer in _predict * update feature extraction example * black * add test add fix several comments * black * black * lint * add onnxruntime in setup * fix * remove code for test * black * remove print in test * remove default batch test * skip onnx test for version conflict * edit setup * minor fix * change eval to evaluate * fix merge * fix merge * change cascade_rcnn_x101 to a smaller centernet in detection test * increase timeout from 15 to 120 for mim install * update centernet version * fix * change to maskrcnn * finished ft, testing val metric * complete val metric integration for obj detection * fix val bug * fix val_metric error * yolo voc finetune success * refactors * remove COLLECTION * refactors * refactor * refactor * black * small fic * small fix * black * lint * lint * lint * fix pred without label * fix ocr * add comments * add comments * fix merge * revert detection inference example change * fix a conflict in matcher and update a dependency for mmocr * decrease mim timeout to 60 second * import mmcv only when use * import mmcv only when use * black * black * bug fix * bug fix * update detection eval example * add todo mark * cleaner code and black * resolve several comments * change infer_label_column_type_by's name * fix typo * add todo mark * change constant map to mAP * change mmcv_model constant to mmlab_models * lint * add todos and add if det to reset_index * multi gpu training * black * add val_metric option and fix some TODOs * small refactors * black * lint * fix circular import * black * small fix * fix collate and better integrate with lightning for detection * remove unnecessary save/load * remove train_to_val and val_to_train in litmmdet * fix map * temp fix for MMOCR, need to update * enable multigpu inference * merge * lint * fix single gpu inference * add doc * skip ocr test for now * black * black * rename output_shape to num_classes * fix * add a TODO * add train from scratch for detection model * fix hardcoding for voc and coco while load coco format data * black * small fix and add voc2coco tool * update voc2coco.py * fix type * fix voc2coco * fix * fix classes hardcode and add support for two stage lr * fix single gpu eval and fix torchmetrics eval * add support for voc format input * fix a word * add preset, fix eval bug for voc * some refactors * black and small refactor * lint * fix assets loading * fix * black * add docs * open PIL safely to avoid resource warning * add fasterrcnn 2 stage lr and black * add set_num_gpus * add evaluation tutorial * refine documents * update ddetr * fix typo * change ref names * merge * add eval on voc and default two stage setting * finish tutorial in datasets preparation * small fix * update tutorial and codes * add EOF line and remove finetune script * black * fix typo in docs * fix wordings and add get_detection_classes, fix voc2coco, fix predict * fix type * small update * fix predict df error * fix voc2coco * add finetune tutorial and support vfnet, raise error for mask models * add voc2coco tutorial * add eof * update doc * minor * support more models and skip image size if not in config * black * update docs * add load predictor and change to problem type * update fps information * update load preditor example * fix type * update tutorial * move val_metric * add presets and fix val_metric in tuto and example * black * remove mypy in test_common * fix * change preset name * restart ci * index tutorial and fix save_path problem * fix get_num_gpu * fix save_path * fix tuto and example typo and path error * add a TODO and force detection not realtime in _predict * fix voc2coco * black * bug bash + quick start * merge * merge * fix save_path problem for DDP * black * update warning * update tutorial, lint * update tuto * update voc to coco * lint * refine index * lint * update docs in multimodal * update the multimodal index * add doc depth * fix save path init * restart ci * restart ci * fix save_path in fit * fix save_path * fix save_path * update quick start * update cli in doc * change prefix coco to postfix cocoformat for voc2coco * fix s3 path and index error * restart ci * install necessary packages * restart ci * add build mmcv in .github * fix mmlab installation * fix * fix mmcv install in tuto * fix * fix * fix index * update docs * refine quick start * remove unnecessary warnings * restart ci * replace voc2012 to 2007 * fix tuto and cli tool * merge * fix docs * change max depth * add all detection tuto in multimodal index * restart ci * fix max depth * Remove dummy layer (open-mmlab#2394) * Update constants.py * Update predictor.py * Update ner_text.py * Update ner_text.py * Update ner_text.py * add standalone test * fix * Update test_ner_standalone.py * Update test_ner.py * Update test_ner.py * fix * Update process_ner.py * Update test_ner_standalone.py * Update process_ner.py * Update fusion_mlp_image_text_tabular.yaml * Update model.py * Update process_ner.py * Update process_ner.py * Update ner_text.py * start ci Co-authored-by: Ubuntu <ubuntu@ip-172-31-53-45.us-west-2.compute.internal> * Fix leaderboard with static features (open-mmlab#2398) * [Tutorial] Knowledge Distillation tutorial (open-mmlab#2397) * Create model_distillation.md * Update automm_distillation_glue.py * Update automm_distillation_glue.py * update * Update tutorial * update * Update model_distillation.md * update * Fix seed * fix tutorial * Update model_distillation.md * Fix installation error for pycocotools package (open-mmlab#2400) * add eval * remove hard code in get_processed_batch * remove hardcoded batch size * fix bug and refactor * black * add descriptions for functions * lint * update example and fix comments * remove extra inpit * change back config * fix label column infer in _predict * update feature extraction example * black * add test add fix several comments * black * black * lint * add onnxruntime in setup * fix * remove code for test * black * remove print in test * remove default batch test * skip onnx test for version conflict * edit setup * minor fix * change eval to evaluate * fix merge * fix merge * change cascade_rcnn_x101 to a smaller centernet in detection test * increase timeout from 15 to 120 for mim install * update centernet version * fix * change to maskrcnn * finished ft, testing val metric * complete val metric integration for obj detection * fix val bug * fix val_metric error * yolo voc finetune success * refactors * remove COLLECTION * refactors * refactor * refactor * black * small fic * small fix * black * lint * lint * lint * fix pred without label * fix ocr * add comments * add comments * fix merge * revert detection inference example change * fix a conflict in matcher and update a dependency for mmocr * decrease mim timeout to 60 second * import mmcv only when use * import mmcv only when use * black * black * bug fix * bug fix * update detection eval example * add todo mark * cleaner code and black * resolve several comments * change infer_label_column_type_by's name * fix typo * add todo mark * change constant map to mAP * change mmcv_model constant to mmlab_models * lint * add todos and add if det to reset_index * multi gpu training * black * add val_metric option and fix some TODOs * small refactors * black * lint * fix circular import * black * small fix * fix collate and better integrate with lightning for detection * remove unnecessary save/load * remove train_to_val and val_to_train in litmmdet * fix map * temp fix for MMOCR, need to update * enable multigpu inference * merge * lint * fix single gpu inference * add doc * skip ocr test for now * black * black * rename output_shape to num_classes * fix * add a TODO * add train from scratch for detection model * fix hardcoding for voc and coco while load coco format data * black * small fix and add voc2coco tool * update voc2coco.py * fix type * fix voc2coco * fix * fix classes hardcode and add support for two stage lr * fix single gpu eval and fix torchmetrics eval * add support for voc format input * fix a word * add preset, fix eval bug for voc * some refactors * black and small refactor * lint * fix assets loading * fix * black * add docs * open PIL safely to avoid resource warning * add fasterrcnn 2 stage lr and black * add set_num_gpus * add evaluation tutorial * refine documents * update ddetr * fix typo * change ref names * merge * add eval on voc and default two stage setting * finish tutorial in datasets preparation * small fix * update tutorial and codes * add EOF line and remove finetune script * black * fix typo in docs * fix wordings and add get_detection_classes, fix voc2coco, fix predict * fix type * small update * fix predict df error * fix voc2coco * add finetune tutorial and support vfnet, raise error for mask models * add voc2coco tutorial * add eof * update doc * minor * support more models and skip image size if not in config * black * update docs * add load predictor and change to problem type * update fps information * update load preditor example * fix type * update tutorial * move val_metric * add presets and fix val_metric in tuto and example * black * remove mypy in test_common * fix * change preset name * restart ci * index tutorial and fix save_path problem * fix get_num_gpu * fix save_path * fix tuto and example typo and path error * add a TODO and force detection not realtime in _predict * fix voc2coco * black * bug bash + quick start * merge * merge * fix save_path problem for DDP * black * update warning * update tutorial, lint * update tuto * update voc to coco * lint * refine index * lint * update docs in multimodal * update the multimodal index * add doc depth * fix save path init * restart ci * restart ci * fix save_path in fit * fix save_path * fix save_path * update quick start * update cli in doc * change prefix coco to postfix cocoformat for voc2coco * fix s3 path and index error * restart ci * install necessary packages * restart ci * add build mmcv in .github * fix mmlab installation * fix * fix mmcv install in tuto * fix * fix * fix index * update docs * refine quick start * remove unnecessary warnings * restart ci * replace voc2012 to 2007 * fix tuto and cli tool * merge * fix docs * change max depth * add all detection tuto in multimodal index * restart ci * fix max depth * fix installation error for pycocotools * remove windows * Fix hyperparameters in matcher fit (open-mmlab#2404) * support hyperparameters in matcher fit * fix * fix * [docs] Apple Silicon Instructions (open-mmlab#2403) * [timeseries] make core and tabular dependencies explicit (open-mmlab#2405) * Turn off AutoMM prediction progress bar in tabular (open-mmlab#2401) * save and load enable_progress_bar * turn off progress bar for automm in tabular * Remove warnings (open-mmlab#2402) * replace iteritems with items * replace iteritems with items * remove seqeval warning * Update metric.py * set num_workers to 0 by default Some huggingface checkpoints such as deberta-v3, mdeberta-v3, roberta, flan-t5-xl do not work with ddp_spawn when setting num_workers=2 * update ner presets * add fixme * Update presets.py * Improve text_prediction tutorial (open-mmlab#2414) * fix multimodal tutorial index (open-mmlab#2407) * Remove warnings and duplicate function (open-mmlab#2409) * create save_path in init and remove warning in fit * remove unecessary line * fix * remove duplicate function * filter mmcv warning * lint * Fix cpu inference bug (open-mmlab#2413) * fix cpu inference bug * add test-case of cpu-only inference * Fix NER best quality preset (open-mmlab#2412) * Update presets.py * Update presets.py * Update presets.py * Update Quick Start Tutorial and Add Installation Warnings (open-mmlab#2418) * create save_path in init and remove warning in fit * remove unecessary line * fix * remove duplicate function * filter mmcv warning * lint * add warnings on import error, update quick start example * update quick start doc * fix wording * add installation info * fix * Remove dependency on vision.imagedataset (open-mmlab#2411) * reemove imagedataset * add datasets * move dataset download to utils * lint * lint * lint * Fixed model save and load path with uuid for multiple runs (open-mmlab#2415) * FTT preset (open-mmlab#2410) * Fix FTTransformer errors, add max_features * Add FTT presets * Added parallel bagging on CPU with FTTransformer * remove ultra preset, add docs * Set num_workers for image related presets and clean matcher config (open-mmlab#2416) * clean matcher config * num_workers * Fix bad refs in detection tutorial (open-mmlab#2419) * create save_path in init and remove warning in fit * remove unecessary line * fix * remove duplicate function * filter mmcv warning * lint * add warnings on import error, update quick start example * update quick start doc * fix wording * add installation info * fix * fix bad ref * [Tutorial] Shorten multilingual tutorial + Improve tutorial website (open-mmlab#2417) * improve document * shorten tutorial * Update index.rst * update * revise tutorial. * update tutorial * Fix typo * Adding inference quick start tutorial * Fixing YOLOv3 description * Moving mmdet mmcv to top of page * Changing {.python .input} to python .input * [0.6 Release][Object Detection][Tutorial] Remove mmdet output format (open-mmlab#2393) * Adding tutorial for converting data to COCO format. * adding python script to get all unique classes in voc format, and dump all annotation xml files * adding docs * adding docs * refactor function name * Reformat * Reformat: single quote to double quote * Added inference from pretrained. Added Visualization * Adding visualization. Now `get_voc_format_classes` dumps class_names when labels.txt is not present. * Reformat previous commit. * Addressing issues in PR#2298. * Addressing usage of voc2coco.py * Reformat files to pass Lint Check * Deleting as_pandas. Adding default saving path. * Reformatting to pass Lint Check * Reformatting to pass Lint Check * Reformat imports * Adding save results to data frame. Deprecating `get_voc_format_classes` to using `get_detection_classes`. Refactoring saving results to utils. * Reformat for Lint * Reformat for Lint * Finalizing saving results; Refactored visualization into predictor.py. * Add running instructions * Lint check * Removing unused imports * Addressing issues in code review: deleting unused functions, refactoring visualization to a separate function call outside predict, removing prints, modifying doc strings, adding TODO to use mmdet visualization later, * removing mypy * Adding tutorials for running inference, saving results, and visualization. * fixing save_path issue * Added in index.rst instructions to install mmdet, add return detection as df by setting as_pandas flag, added quick start tutorial with downloading tiny motorbike, added warning in predict init for mmdet and mmcv-full, reorganized tutorials, * Add mmdet, mmcv-full links * Addressing issues in reviews * Removing .input * changing quick start coco_*.json to *_cocoformat.json. putting `mim install mmcv-full` before `pip install mmdet` * Editing visualize_detection to take as input pd.DataFrame. Fixed a bug in save results. Update tutorials * editting tutorials to reflect pd.DataFrame detection output. * Update tutorials to print pred * Update inference quick start tutorial to single image * Update inference quick start tutorial to single image; Changing matplotlib to PIL for displaying visualization. * Update inference quick start tutorial to single image; Changing matplotlib to PIL for displaying visualization. * Fixing quick start import error with numpy. * Fixed links in inference tutorials, moved inference quick start to quick_start, fixed a typo in detection_eval_fasterrcnn_coco * fixing kernel died issue * Removing quick start to another PR * Remove detection load predictor * Changing {.python} to python * Removing quick start in index.rst * Update to v0.6 (open-mmlab#2425) * [Release 0.6] [Multimodal] Check if folder is empty before raise (open-mmlab#2426) * fix * fix * lint * fix * fix * Update to v0.6.1 * bump evaluate to `0.3.0` (open-mmlab#2433) * [Cloud] Cloud Custom Image and Cleanup (open-mmlab#2408) * checkpoint * checkpoint * api * cleanup old version code * fix to local * fix * fix * fix * additional volume size * fix * fix * addressing comments * fix Co-authored-by: Weisu Yin <weisuyin96@gmail.com> * fix (open-mmlab#2437) Co-authored-by: Weisu Yin <weisuyin96@gmail.com> * 0.6.0 Release notes (open-mmlab#2383) * Add finetune/eval tests for AutoMM detection (open-mmlab#2441) * create save_path in init and remove warning in fit * remove unecessary line * fix * add fintune/eval test for detection * lint * fix layout (open-mmlab#2450) * [CI][Cloud] Nightly Build of AG Images for Cloud Testing (open-mmlab#2436) * initial fix fix fix checkpoint checkpoint checkpoint api cleanup old version code fix to local fix fix fix additional volume size fix fix tests * fix * fix * enable nightly for cloud CI * minor fix entry point * comments Co-authored-by: Weisu Yin <weisuyin96@gmail.com> * Adding Joint IA3_LoRA as efficient finetuning strategy (open-mmlab#2451) * adding ia3_lora peft and raft#1 preset * fix * dynamic max length template choice; * fix trigger of PEFT * add coment for 11B model in preset Co-authored-by: Ubuntu <ubuntu@ip-172-31-44-212.eu-west-1.compute.internal> * Fix AutoMM warnings about object detection (open-mmlab#2458) * fix warnings * ocr constant * [CI][Fair] Enable CI for Fair Module (open-mmlab#2460) * fair ci * fix * [Cloud][CI] Enable Cloud Lint (open-mmlab#2455) * lint * fix * fix * isort skip * gox * fix * fix * fix * fix Co-authored-by: Weisu Yin <weisuyin96@gmail.com> * adding python script to get all unique classes in voc format, and dump all annotation xml files * Reformat previous commit. * Adding save results to data frame. Deprecating `get_voc_format_classes` to using `get_detection_classes`. Refactoring saving results to utils. * Addressing issues in code review: deleting unused functions, refactoring visualization to a separate function call outside predict, removing prints, modifying doc strings, adding TODO to use mmdet visualization later, * Added in index.rst instructions to install mmdet, add return detection as df by setting as_pandas flag, added quick start tutorial with downloading tiny motorbike, added warning in predict init for mmdet and mmcv-full, reorganized tutorials, * Deleting inference tutorials, refactoring inference quick start to quick_start_coco.md, fixing the bug for fit->predict with dummy df converter from dict, updating detection unit test * Deleting inference tutorials, refactoring inference quick start to quick_start_coco.md, fixing the bug for fit->predict with dummy df converter from dict, updating detection unit test * Addressing comments in reviews. * Re-organizing tutorial, picking a different image to display * Deleting inference cards in the object detection index page * Adding visualizer from detectron2 * Adding visualizer from detectron2 - Complete. Updating quick_start_coco.md * Editing docs for colormap.py * Deleting unused classes. Reformatting for lint. * Reformatting for lint. * Adding new line * add back newline under cv2 * removing __main__ in colormap as it is not necessary Co-authored-by: Zhiqiang Tang <zhiqiang.tang@rutgers.edu> Co-authored-by: Nick Erickson <neerick@amazon.com> Co-authored-by: BingzhaoZhu <39958219+BingzhaoZhu@users.noreply.github.com> Co-authored-by: tonyhu <tonyhoo@users.noreply.github.com> Co-authored-by: Caner Turkmen <turkmen.ac@gmail.com> Co-authored-by: Haoyang Fang <107515844+FANGAreNotGnu@users.noreply.github.com> Co-authored-by: Yi Zhu <yizhu59@gmail.com> Co-authored-by: Oleksandr Shchur <shchuro@amazon.com> Co-authored-by: Shuai Zhang <cheungdaven@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-53-45.us-west-2.compute.internal> Co-authored-by: Xingjian Shi <xshiab@connect.ust.hk> Co-authored-by: Alexander Shirkov <10080307+gradientsky@users.noreply.github.com> Co-authored-by: Weisu Yin <weisy@amazon.com> Co-authored-by: Alexander Shirkov <ashyrkou@amazon.com> Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> Co-authored-by: Weisu Yin <weisuyin96@gmail.com> Co-authored-by: Rami <rami-aly@hotmail.de> Co-authored-by: Ubuntu <ubuntu@ip-172-31-44-212.eu-west-1.compute.internal>
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