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acc issue is fixed in IPEX (#1477)\r\n\r\n* forcing numpy to use a specific version (#1474)\r\n\r\n* Restrict vit training to single socket (#1484)\r\n\r\n* update dlrm/bert distribute training BKC (#1486)\r\n\r\n* change batch size for int8 resnet50 and ssd-resnet34 (#1487)\r\n\r\n* Added command to remove existing logs in output_dir (#1475)\r\n\r\n* Added command to remove existing logs in output_dir\r\n\r\n* Fix condition to checkout OneAPI tools repository (#1490)\r\n\r\n* Hz/dlrm ddp (#1496)\r\n\r\n* fix dlrm ddp\r\n\r\n* fix time computation\r\n\r\n---------\r\n\r\nCo-authored-by: Weizhuo Zhang \r\n\r\n* fix dlrm-v1 int8 thp (#1497)\r\n\r\n* also use merged-emb-cat in dlrm-v2 int8 thp (#1498)\r\n\r\n* updated tpp files for 2.12.1 release (#1479)\r\n\r\n* updated tpp files\r\n\r\n* added yolo5\r\n\r\n* P0 models list (#1500)\r\n\r\n* P0 models list\r\n\r\n* replace master w/ tag\r\n\r\n* correct framework name\r\n\r\n---------\r\n\r\nCo-authored-by: Jitendra Patil \r\n\r\n* another update to TPPs (#1503)\r\n\r\n* Fixing SSD-Resnet34 training quickstart script to run right number of instances (#1493)\r\n\r\n* Container GHA Pipeline Reformat (#1462)\r\n\r\n* swap runner to mlops runner\r\n\r\n* change ipex base image (#1440)\r\n\r\n* rename tests yaml (#1450)\r\n\r\n* New Test Runner (#1461)\r\n\r\n* add execute perms to quickstart and add 140 tests to pytorch resnet with new runner\r\n\r\n* add tests per new format\r\n\r\n* add flex140 support\r\n\r\n* Update Test Runner (#1467)\r\n\r\n* Flex 140 tests for P0 (#1469)\r\n\r\n* add previous m3 commits (#1478)\r\n\r\n* GHA tests for flex 140 (#1499)\r\n\r\n* add previous m3 commits (#1478)\r\n\r\n* Added command to remove existing logs in output_dir (#1475)\r\n\r\n* address PR review (#1501)\r\n\r\n* remove makefile\r\n\r\n* Remove caas reference (#1502)\r\n\r\n* Add previous m3 commits in baremetal readme (#1480)\r\n\r\n---------\r\n\r\nCo-authored-by: Srikanth Ramakrishna \r\nCo-authored-by: mahathis 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trigger for the PR validations\r\n\r\n---------\r\n\r\nCo-authored-by: Wafaa Taie \r\n\r\n* PYT CPU Automation (#1544)\r\n\r\n* make initial changes\r\n\r\n* add tests for new base container\r\n\r\n* add more new tests\r\n\r\n* remove env var\r\n\r\n* add more tests\r\n\r\n* more test added\r\n\r\n* add dlrm inference build and test\r\n\r\n* add more tests\r\n\r\n* add more tests\r\n\r\n* add another model test\r\n\r\n* add final tests\r\n\r\n* add devcatalog (#1566)\r\n\r\n* Change success condition from previous jobs before doing drop (#1568)\r\n\r\n* Added readme for DLRM pytorch MAX series (#1570)\r\n\r\n* update docs for AI Tools (#1567)\r\n\r\n* ViT Train : Enable multi instance training for Tensorflow Vision Transformer model (#1569)\r\n\r\n* Revert \"Restrict vit training to single socket (#1484)\"\r\n\r\nThis reverts commit ae2c801ed2bbda5199d2145d9ef6d3a73673e651.\r\n\r\n* Add multi instance support\r\n\r\n* Update README.md\r\n\r\n* Remove useless files and add license title for DLRM v2 (#1574)\r\n\r\n* Gda/step url (#1560)\r\n\r\n* Added step url to result table\r\n\r\n* Remove continue on error from workload tests\r\n\r\n* Run performance checks even when a workload test failed\r\n\r\n* add driver setup doc (#1571)\r\n\r\nCo-authored-by: Jitendra Patil \r\n\r\n* LLM models using ipex.optimize_transformers for bf16/int8 (#1562)\r\n\r\n* init pr\r\n\r\n* revise v1, local test passed\r\n\r\n* TF ResNet50v1.5 Fix (#1575)\r\n\r\n* tf cpu r50 inf fixed\r\n\r\n* actions.json added\r\n\r\n* newline added for actions\r\n\r\n* venv instllation added\r\n\r\n* pip install fixed\r\n\r\n* venv pip install fixed\r\n\r\n* test workflow reverted back\r\n\r\n---------\r\n\r\nCo-authored-by: Jitendra Patil \r\n\r\n* added int8 support for graphsage (#1536)\r\n\r\n* MEMREC DLRM Inference (#1547)\r\n\r\n* Added omp_num_threads and cores_per_instance as env variable (#1573)\r\n\r\n* esnet50v1.5 and bert large inference models\r\n\r\n* TF Stable Diffusion: Download model files in start.sh and log latency & throughput (#1581)\r\n\r\n* adding model download to start.sh to avoid failure during multi-instance execution\r\n\r\n* downloading the clip tokenizer in start.sh also\r\n\r\n* script changes to report both latency and throughput\r\n\r\n* Doc fixes (#1582)\r\n\r\n* add torchrec dlrm to the models table\r\n\r\n* fix paths to run quickstart scripts\r\n\r\n* Add RN50 INT8 Calibration file (#1545)\r\n\r\n* Jupyter notebook for AI Reference models (#1583)\r\n\r\n* Added jupyter notebook for AI Reference models\r\n\r\n* Added README for AI_Reference jupyter notebook\r\n\r\n* Supports Resnet50 v1.5 and mobilenet v1 inference workloads\r\n\r\n* Upgrade Pillow version to 10.0.1 to fix high severity CVEs (#1584)\r\n\r\n* remove workflows\r\n\r\n* correct_release_tag (#1587)\r\n\r\n* correct_release_tag\r\n\r\n* revert a change\r\n\r\n* Unexpose old TF models (#1593)\r\n\r\n* tf cpu distilbert inf (#1612)\r\n\r\n* 3D Unet MLPerf Inference Workload (#1595)\r\n\r\n* 3D 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Training Workload (#1607)\r\n\r\n* TF CPU Transformer MLPerf Inference Workload (#1597)\r\n\r\n* TF CPU Transformer MLPerf Training (#1608)\r\n\r\n* TF CPU DistilBERT fixed (#1629)\r\n\r\n* TF CPU SSD MobileNet Inference Workload (#1605)\r\n\r\n* Fixed typo in readme for framework (#1631)\r\n\r\n* Checkpoints added for TF CPU Workloads (#1637)\r\n\r\n* TF CPU Dev Catalog READMEs Updated. (#1652)\r\n\r\n* EMR PYT RN50 Infer (#1624)\r\n\r\n---------\r\n\r\nCo-authored-by: Jitendra Patil \r\n\r\n* EMR PYT RN50 Train (#1625)\r\n\r\n* build rn50 train centos\r\n\r\n* comment conda lines\r\n\r\n* comment conda lines\r\n\r\n* remove fp16 test,add devcat and intel-openmp\r\n\r\n* add changes to ubuntu\r\n\r\n* remove commented lines\r\n\r\n* add cpu to tag\r\n\r\n* EMR PYT ResNext Infer (#1619)\r\n\r\n* add initial commits for emr resnext\r\n\r\n* add dockerfiles\r\n\r\n* build resnext\r\n\r\n* remove extra precisions\r\n\r\n* add devcat,openmp and more tests\r\n\r\n* add cpu to tag\r\n\r\n* EMR PYT MaskRCNN Infer (#1621)\r\n\r\n* add maskrcnn inference\r\n\r\n* add cmake and bf32 tests\r\n\r\n* add openmpi,more tests and devcat\r\n\r\n* add cpu to tag\r\n\r\n* rearrange pip installs\r\n\r\n* EMR PYT MaskRCNN Train (#1622)\r\n\r\n* build maskrcnn training\r\n\r\n* add cmake\r\n\r\n* correct image names\r\n\r\n* add ld_predload,devcat and tests changes\r\n\r\n* EMR PYT SSD-ResNet34 Train (#1618)\r\n\r\n* add compose changes\r\n\r\n* ssd-resnet34 build\r\n\r\n* correct tests file\r\n\r\n* add more tests and devcat\r\n\r\n* EMR PYT SSD-ResNet34 Infer (#1617)\r\n\r\n* build ssd-resnet34 images\r\n\r\n* add bf32 tests and update DEVCATALOG.md\r\n\r\n* rename devcatalogs (#1671)\r\n\r\n* EMR PYT BERT Large Infer (#1623)\r\n\r\n* add bert-large build\r\n\r\n* correct paths\r\n\r\n* add devcatalog\r\n\r\n* add more tests\r\n\r\n* Rename EMR_DEVCATALOG.md to DEVCATALOG.md\r\n\r\n* Update DEVCATALOG.md\r\n\r\n* PYT EMR BERT-Large Train (#1639)\r\n\r\n* build bert-large training\r\n\r\n* add pretrained model env\r\n\r\n* remove idsid\r\n\r\n* add more tests and devcatalog\r\n\r\n* correct env and rename\r\n\r\n* Delete EMR_DEVCATALOG.md\r\n\r\n* Update DEVCATALOG.md\r\n\r\n* EMR PYT Distilbert Infer (#1620)\r\n\r\n* build distilbert images\r\n\r\n* validate distilbert\r\n\r\n* add more tests and devcatalog\r\n\r\n* remove MZ reference\r\n\r\n* modify env params\r\n\r\n* uncomment and remove idsid\r\n\r\n* clarify core per instance\r\n\r\n* clarify hf_datasets\r\n\r\n* remove void env var\r\n\r\n* Rename EMR_DEVCATALOG.md to DEVCATALOG.md\r\n\r\n* Update DEVCATALOG.md\r\n\r\n* EMR PYT RNNT Inference (#1616)\r\n\r\n* add dockerfiles for rnnt\r\n\r\n* fix pytorch binding error\r\n\r\n* copy diff file to inference\r\n\r\n* add librosa\r\n\r\n* add more tests and devcatalog\r\n\r\n* correct reatime cmd\r\n\r\n* Rename EMR_DEVCATALOG.md to DEVCATALOG.md\r\n\r\n* Update DEVCATALOG.md\r\n\r\n* EMR PYT RNNT Train (#1615)\r\n\r\n* Rename EMR_DEVCATALOG.md to DEVCATALOG.md\r\n\r\n* Update DEVCATALOG.md\r\n\r\n* EMR PYT DLRM Infer (#1626)\r\n\r\n* Update DEVCATALOG.md\r\n\r\n* EMR PYT DLRM Train (#1628)\r\n\r\n* build dlrm training\r\n\r\n* add num_batch\r\n\r\n* add tcmalloc\r\n\r\n* add tcmalloc\r\n\r\n* add devcatalog\r\n\r\n* re-locate the file\r\n\r\n* Rename EMR_DEVCATALOG.md to DEVCATALOG.md\r\n\r\n* Update DEVCATALOG.md\r\n\r\n* make batch flexible (#1635)\r\n\r\n* Change dataset for Transfer Learning LLM Notebook (#1576)\r\n\r\n* update llm notebook with code alpaca\r\n\r\n* push updates\r\n\r\n* fixed broken link\r\n\r\n* Refactor Transfer Learning Notebook folder to match TLT structure + small diff (#1670)\r\n\r\n* refactor to match TL structure + small diff\r\n\r\n* fixed table structure\r\n\r\n* add landing page doc (#1653)\r\n\r\n* add landing page doc\r\n\r\n* simplify and add r3.1\r\n\r\n* add precisions\r\n\r\n* add tf landing page\r\n\r\n* add precisions\r\n\r\n---------\r\n\r\nCo-authored-by: Jitendra Patil \r\n\r\n* r3.1 fixes (#1679)\r\n\r\n* TF CPU ResNet 50 v1.5 Inference Model Checkpoints fixed (#1663)\r\n\r\n* spr removed from workdir\r\n\r\n* R50 Inf fixed\r\n\r\n* fixed rn50 error\r\n\r\n* fixed in docker compose yaml\r\n\r\n---------\r\n\r\nCo-authored-by: Sharvil Shah \r\n\r\n* make minor corrections in devcatalog README (#1680)\r\n\r\n* Remove old TF models (#1673)\r\n\r\n* remove ResNet50, FasterCNN, RFCN, NCF, Wide and deep Large dataset training, waveNet, Inception v4, mlperf GNMT models\r\n\r\n* remove relevant unit tests and update coverage precentage\r\n\r\n* refine changes based on feedback (#1684)\r\n\r\n* fix typo (#1686)\r\n\r\n* fixing docker iamages names\r\n\r\n* fixing TF centos docker images link\r\n\r\n* unset KMP AFFINITY for accuracy scripts (#1689)\r\n\r\n* Bump mlflow in /datasets/cloud_data_connector/samples/azure (#1698)\r\n\r\nBumps [mlflow](https://github.com/mlflow/mlflow) from 2.6.0 to 2.8.1.\r\n- [Release notes](https://github.com/mlflow/mlflow/releases)\r\n- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)\r\n- [Commits](https://github.com/mlflow/mlflow/compare/v2.6.0...v2.8.1)\r\n\r\n---\r\nupdated-dependencies:\r\n- dependency-name: mlflow\r\n dependency-type: direct:production\r\n\r\n* Bump mlflow in /datasets/cloud_data_connector/samples/interoperability (#1697)\r\n\r\nBumps [mlflow](https://github.com/mlflow/mlflow) from 2.6.0 to 2.8.1.\r\n- [Release notes](https://github.com/mlflow/mlflow/releases)\r\n- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)\r\n- [Commits](https://github.com/mlflow/mlflow/compare/v2.6.0...v2.8.1)\r\n\r\n---\r\nupdated-dependencies:\r\n- dependency-name: mlflow\r\n dependency-type: direct:production\r\n\r\n* add optional args to devcatalog pages (#1750)\r\n\r\n* add optional env for tf\r\n\r\n* add optional args\r\n\r\n* add v2 to table (#1762)\r\n\r\n* remove space\r\n\r\n* Corrected updating OMP NUM THREADS (#1759)\r\n\r\n* validate omp_num_threads and cores_per_instance\r\n\r\n* revert changes\r\n\r\n* validate omp num threads and cores per instance (#1789)\r\n\r\n* add omp_num_threads and cores_per_instance (#1809)\r\n\r\n* wsl2 documentation (#1815)\r\n\r\n* add wsl2 stable diffusion documentation\r\n\r\n* add wsl2 stable diffusion documentation\r\n\r\n* add wsl2 base doc\r\n\r\n* make minor tabular changes\r\n\r\n* make minor tabular changes\r\n\r\n* add ssh instructions\r\n\r\n* re-word example\r\n\r\n* update torch version outputs\r\n\r\n* add entry in main readme\r\n\r\n---------\r\n\r\nCo-authored-by: Jitendra Patil \r\n\r\n* fix dlrm normal training to support SNC mode (#1699)\r\n\r\nCo-authored-by: Weizhuo Zhang \r\n\r\n* update torch-ccl branch (#1716)\r\n\r\n* Pytorch ResNext32x16d baremetal EMR tests (#1640)\r\n\r\n* Pytorch RN50 baremetal EMR inference and training tests (#1641)\r\n\r\n* PyTorch SSD-Resnet34 EMR baremetal training and inference tests (#1647)\r\n\r\n* PyTorch distilBERT baremetal tests (#1650)\r\n\r\n* PyTorch BERT_LARGE_SQUAD inf baremetal tests (#1651)\r\n\r\n* PyTorch BERT_LARGE Training baremetal tests (#1654)\r\n\r\n* Pytorch MaskRCNN baremetal EMR tests (#1646)\r\n\r\n* PyTorch DLRM baremetal tests (#1649)\r\n\r\n* PyTorch RNN-T EMR baremetal tests (#1648)\r\n\r\n* remove TF yolo v5, add cpu stable diffusion\r\n\r\n* [Zero-BKC][ITEX][GPU]add itex stable diffusion,EfficientNet,wide and deep inference for ats-m (#1642)\r\n\r\nCo-authored-by: XumingGai \r\n\r\n* remove pb files from the github repo (#1730)\r\n\r\n* modify rn50 training script (#1732)\r\n\r\n* Refactor new zero bkcs scripts for TF ResNet50 inf and Mask-RCNN to models_v2 (#1695)\r\n\r\n* move new zero bkcs for TF resnet50 inf and maskrcnn to models_v2\r\n\r\n* GHA tests for dGPU zero copy BKC format workloads (#1744)\r\n---------\r\n\r\nCo-authored-by: Mahathi Vatsal \r\n\r\n* modify Stable Diffusion finetune script (#1746)\r\n\r\n* add utilities to parse result for pytorch (#1729)\r\n\r\n* Wliao2/add rn50 (#1693)\r\n\r\n* add dgpu resnet 50\r\n\r\n* update intel tf version to be the latest (#1748)\r\n\r\n* Enable Inductor path for Bert_large inference and training (#1733)\r\n\r\n* Init Bert-large files from inductor path\r\n\r\n* cherry pick Enable int8-mixed-bf16 for 5 transformer models (#1720)\r\n\r\n* modify README\r\n\r\n* Enable Inductor path for Distilbert-base inference (#1734)\r\n\r\n* Init Bert-large files from inductor path\r\n\r\n* cherry pick Enable int8-mixed-bf16 for 5 transformer models (#1720)\r\n\r\n* modify README\r\n\r\n* Init Distilbert base models\r\n\r\n* Init DLRM Script (#1739)\r\n\r\n* Enable Inductor path for RN50 inference and training (#1718)\r\n\r\n* Enable Inductor path for RN50 inference and training\r\n\r\n* add bf32\r\n\r\n* add README for Torch inductor\r\n\r\n---------\r\n\r\nCo-authored-by: leslie-fang-intel \r\n\r\n* Move and add license headers P1 ATS-M ITEX models (#1754)\r\n\r\n* move and add license headers to stable diffusion model\r\n\r\n* move and add license headers to efficientnet\r\n\r\n* update maskrcnn inference\r\n\r\n* move and update license headers for wide and deep model\r\n\r\n* Remove MLFlow dependency. Updates on functional tests (#1756)\r\n\r\n* add v2 to table (#1762)\r\n\r\n* Weizhuoz/fix bert accuracy (#1761)\r\n\r\n* fix bert-large accuracy read issue\r\n\r\n* fix bert_large accuracy issue\r\n\r\n* inductor int8 could not use model.eval()\r\n\r\n* remove ssdmobilenet and yolov4 (#1757)\r\n\r\n* update maskrcnn, bert-large training (#1666)\r\n\r\n* update maskrcnn training\r\n\r\n* update maskrcnn and add bert-large\r\n\r\n* move maskrcnn training to model_v2, update license\r\n\r\n* code review changes for bert large training\r\n\r\n---------\r\n\r\nCo-authored-by: Wafaa Taie \r\n\r\n* update mlflow version to use the latest (#1768)\r\n\r\n* [Zero-BKC][ITEX][GPU] Add resnet50 and 3dd-unet training (#1664)\r\n\r\n* add 3d-unet gpu training\r\n\r\n* add gpu resnet50 training\r\n\r\n* update license headers and move scripts to models_v2\r\n\r\n* code review changes for 3d-unet training, update license, move to models_v2\r\n\r\n* changes in readme for code review\r\n\r\n---------\r\n\r\nCo-authored-by: Wafaa Taie \r\n\r\n* enable distributed training for DLRMv2 and some fix for inductor path (#1770)\r\n\r\n* enable distributed training for DLRMv2 and some fix for inductor path\r\n\r\n* add missing files\r\n\r\n* remove license headers from .txt files in data-connector (#1774)\r\n\r\n* fix data loader (#1780)\r\n\r\n* Fix for TL Notebooks GHA (#1773)\r\n\r\n* fixed file paths\r\n\r\n* changed venv creation\r\n\r\n* trying venv\r\n\r\n* trying no venv\r\n\r\n* reverted venv3\r\n\r\n* testing apt get update\r\n\r\n* added apt-get install\r\n\r\n* venv3 --> venv\r\n\r\n* uncommented apt\r\n\r\n* without virtualenv\r\n\r\n* added pip install virtualenv\r\n\r\n* downgraded PyYaml to be conpatible with tf models official\r\n\r\n* 2.12.0 --> 2.12.1\r\n\r\n* removed package versions\r\n\r\n* added back tf official version\r\n\r\n* flipped\r\n\r\n* addressed review comments\r\n\r\n* Fix inductor path int8 bf16 realtime issue (#1767)\r\n\r\n* Update inference_performance.sh (#1784)\r\n\r\n* fix acc (#1798)\r\n\r\n* add warm up iter for inference throughput (#1799)\r\n\r\n* Predownload weights for SDv2.1 (#1797)\r\n\r\n* predownload weights for SDv2.1\r\n\r\n* update hash\r\n\r\n* fix DLRM V1 syntax error (#1760)\r\n\r\n* fix DLRM V1 syntax error\r\n\r\n* fix dlrm inductor numpy.bool_ error (#1448)\r\n\r\n* fix DLRM V1 train_ld issue\r\n\r\n* Update dlrm_s_pytorch.py\r\n\r\n---------\r\n\r\nCo-authored-by: Chunyuan WU \r\nCo-authored-by: zhuhaozhe \r\n\r\n* Fix bert large inductor int8 accuray failure in last batch (#1803)\r\n\r\n* fix bert large inductor int8 accuracy issue\r\n\r\n* Format fixes\r\n\r\n---------\r\n\r\nCo-authored-by: jianan-gu \r\n\r\n* add bert (#1701)\r\n\r\n* add bert IPEX\r\n\r\nCo-authored-by: Wafaa Taie \r\nCo-authored-by: Mahathi Vatsal \r\n\r\n* Wliao2/add dlrm kaggle (#1711)\r\n\r\n* add dlrm kaggle\r\n\r\n* fix license issue\r\n\r\n* Update README.md\r\n\r\n* remove unused files\r\n\r\n* update\r\n\r\n* add licence header for modified files\r\n\r\n---------\r\n\r\nCo-authored-by: Mahathi Vatsal \r\n\r\n* update bert-large for ARC (#1816)\r\n\r\n* update scripts and Readme for ARC\r\n\r\n* Update README.md\r\n\r\n* Update quickstart scripts with env variables for Stable Diffusion and ResNet50v1.5 (#1791)\r\n\r\n* adding env vars for SD and RN50\r\n\r\n* updating accuracy quickstart and other minor changes\r\n\r\n* using default values only if the env var are not set from the cmd line\r\n\r\n* fix for coverage tests\r\n\r\n* Added GHA for ITEX wide deep large (#1820)\r\n\r\n* Added GHA for ITEX wide deep large\r\n\r\n* Added stable diffusion inference ITEX (#1819)\r\n\r\n* Added stable diffusion inference\r\n\r\n* Changed file permissions\r\n\r\n* Added GHA for EfficientNet ITEX (#1821)\r\n\r\n* Added GHA for EfficientNet ITEX\r\n\r\n* Update run_test.sh\r\n\r\n* Update setup.sh\r\n\r\n* Update README.md\r\n\r\n* Added GHA for ITEX bert large Training (#1822)\r\n\r\n* ssdmobilenet int8 accuracy fix (#1811)\r\n\r\n* ssdmobilenet int8 accuracy fix\r\n\r\n* added change in quickstart accuracy script\r\n\r\n* modified public bucket link\r\n\r\n* modified new args in unit test\r\n\r\n* fixed unit test\r\n\r\n* add BKC for DLRM-V2 convergence test (#1824)\r\n\r\n* wsl2 documentation (#1815)\r\n\r\n* add wsl2 stable diffusion documentation\r\n\r\n* add wsl2 stable diffusion documentation\r\n\r\n* add wsl2 base doc\r\n\r\n* make minor tabular changes\r\n\r\n* make minor tabular changes\r\n\r\n* add ssh instructions\r\n\r\n* re-word example\r\n\r\n* update torch version outputs\r\n\r\n* add entry in main readme\r\n\r\n---------\r\n\r\nCo-authored-by: Jitendra Patil \r\n\r\n* bert-large inductor uses int8_bf16 mix (#1792)\r\n\r\n* Bert-large inductor use int8-bf16 mix\r\n\r\n* ipex uses int8_bf16 mix in if\r\n\r\n* merge develop\r\n\r\n* inductor uses int8-bf16 mix\r\n\r\n* Distilbert int8 optimization (#1830)\r\n\r\n* optimize distilbert int8\r\n\r\n* re-calibrate distilbert\r\n\r\n* fix for inductor (#1834)\r\n\r\n* TF- DistilBERT - Update quickstart scripts with env vars (#1818)\r\n\r\n* Add Env variables to quickstart scripts\r\n\r\n* Update # of cores for throughput script\r\n\r\n* add distilbert (#1702)\r\n\r\n* add distilbert\r\n\r\n* Corrected refactored path for distilbert\r\n\r\n* Added intel license header\r\n\r\n* Update README.md\r\n\r\n---------\r\n\r\nCo-authored-by: Mahathi Vatsal \r\n\r\n* Update dlrm_s_pytorch.py (#1843)\r\n\r\n* Wliao2/add stable diffusion (#1705)\r\n\r\n* add stable_diffusion\r\n\r\n* update some typo\r\n\r\n* fix license issue\r\n\r\n* update stable diffusion\r\n\r\n* update for acc\r\n\r\n* verify the result\r\n\r\n* Refactored to new folder\r\n\r\n* Update README.md\r\n\r\n* add support for ARC\r\n\r\n---------\r\n\r\nCo-authored-by: Mahathi Vatsal \r\n\r\n* Fix Bert Large Int8 Latency Issue (#1859)\r\n\r\nCo-authored-by: jianan-gu \r\n\r\n* [DistilBert] modify for masked_fill default value (#1868)\r\n\r\n* Nhatle/bert large training x3 vs x1 (#1776)\r\n\r\n* set num-inter-threads=2\r\n\r\n* bert-large squad: Binding process to cores on 1 socket\r\n\r\n* Enable multi-instance training for bert-large squad\r\n\r\n* Fix incase users only run 1 instance\r\n\r\n* Fix benchmark_command\r\n\r\n* Molly/ddp bkc update (#1873)\r\n\r\n* make num_iter flexbile\r\n\r\n* bugfix for bert-large ddp\r\n\r\n* bkc for rn50 ddp training update\r\n\r\n* bkc for rn50 ddp training update\r\n\r\n* bkc for dlrm_v1 ddp training update\r\n\r\n---------\r\n\r\nCo-authored-by: WeizhuoZhang-intel \r\n\r\n* Corrected IPEX installer version (#1878)\r\n\r\n* Changed IPEX installer version\r\n\r\n* Update dlrm_s_pytorch.py (#1879)\r\n\r\n* Update AI Bundle version in tests setup files for CI/CD pipeline (#1881)\r\n\r\n* doc: document models_v2 contribution guideline (#1855)\r\n\r\nSigned-off-by: Dmitry Rogozhkin \r\n\r\n* Molly/inductor fp16 (#1875)\r\n\r\n* make num_iter flexbile\r\n\r\n* bugfix for bert-large ddp\r\n\r\n* bkc for rn50 ddp training update\r\n\r\n* bkc for rn50 ddp training update\r\n\r\n* bkc for dlrm_v1 ddp training update\r\n\r\n* rn50 fp16 torch.compile enabled\r\n\r\n* fp16 autocast fix\r\n\r\n* fix RN50 for fp16 torch.compile (#1849)\r\n\r\n* enable stable-diffusion fp16 inductor path\r\n\r\n* vit, bert-large fp16 enable\r\n\r\n* merge to latest transformers patch\r\n\r\n* Update enable_ipex_for_transformers.diff\r\n\r\n* Update enable_ipex_for_transformers.diff\r\n\r\n---------\r\n\r\nCo-authored-by: Cao E \r\nCo-authored-by: WeizhuoZhang-intel \r\n\r\n* Fix in case mpi_num_processes_per_socket=1 (#1885)\r\n\r\n* Fix in case mpi_num_processes_per_socket=1\r\n\r\n* small fix\r\n\r\n* Update dlrm_s_pytorch.py (#1890)\r\n\r\n* Modified dataset path (#1894)\r\n\r\n* added GHA for ITEX bert large\r\n\r\n* Stable Diffusion PYT Flex and Max (#1853)\r\n\r\n* validate sd pyt\r\n* add max tests and dockerfile\r\n\r\n* Bump scipy in /models_v2/pytorch/stable_diffusion/inference/gpu (#1847)\r\n\r\nBumps [scipy](https://github.com/scipy/scipy) from 1.9.1 to 1.11.1.\r\n- [Release notes](https://github.com/scipy/scipy/releases)\r\n- [Commits](https://github.com/scipy/scipy/compare/v1.9.1...v1.11.1)\r\n\r\n---\r\nupdated-dependencies:\r\n- dependency-name: scipy\r\n dependency-type: direct:production\r\n\r\n* Bump gitpython in /models_v2/pytorch/distilbert/inference/gpu (#1846)\r\n\r\nBumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.30 to 3.1.41.\r\n- [Release notes](https://github.com/gitpython-developers/GitPython/releases)\r\n- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)\r\n- [Commits](https://github.com/gitpython-developers/GitPython/compare/3.1.30...3.1.41)\r\n\r\n---\r\nupdated-dependencies:\r\n- dependency-name: gitpython\r\n dependency-type: direct:production\r\n\r\n* Bump transformers in /models_v2/pytorch/distilbert/inference/gpu (#1840)\r\n\r\nBumps [transformers](https://github.com/huggingface/transformers) from 4.25.1 to 4.36.0.\r\n- [Release notes](https://github.com/huggingface/transformers/releases)\r\n- [Commits](https://github.com/huggingface/transformers/compare/v4.25.1...v4.36.0)\r\n\r\n---\r\nupdated-dependencies:\r\n- dependency-name: transformers\r\n dependency-type: direct:production\r\n\r\n* Bump transformers in /models_v2/pytorch/bert_large/inference/gpu (#1810)\r\n\r\nBumps [transformers](https://github.com/huggingface/transformers) from 4.11.0 to 4.36.0.\r\n- [Release notes](https://github.com/huggingface/transformers/releases)\r\n- [Commits](https://github.com/huggingface/transformers/compare/v4.11.0...v4.36.0)\r\n\r\n---\r\nupdated-dependencies:\r\n- dependency-name: transformers\r\n dependency-type: direct:production\r\n\r\n* Bump transformers (#1786)\r\n\r\nBumps [transformers](https://github.com/huggingface/transformers) from 4.30.0 to 4.36.0.\r\n- [Release notes](https://github.com/huggingface/transformers/releases)\r\n- [Commits](https://github.com/huggingface/transformers/compare/v4.30.0...v4.36.0)\r\n\r\n---\r\nupdated-dependencies:\r\n- dependency-name: transformers\r\n dependency-type: direct:production\r\n\r\n* Bump transformers (#1785)\r\n\r\nBumps [transformers](https://github.com/huggingface/transformers) from 4.30.0 to 4.36.0.\r\n- [Release notes](https://github.com/huggingface/transformers/releases)\r\n- [Commits](https://github.com/huggingface/transformers/compare/v4.30.0...v4.36.0)\r\n\r\n---\r\nupdated-dependencies:\r\n- dependency-name: transformers\r\n dependency-type: direct:production\r\n\r\n* Added GHA tests for stable diffusion (#1887)\r\n\r\n* validate sd pyt\r\n\r\n* update for ARC (#1781)\r\n\r\n* update for ARC\r\n\r\n* update log\r\n\r\n* refactor to models_v2\r\n\r\n* update path due to refactor\r\n\r\n* sync with 2.1rc3\r\n\r\n* Wliao2/add dlrm (#1704)\r\n\r\n* add dlrm v2\r\n\r\n* fix license issue\r\n\r\n* 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