Key Features

• Adds macOS M1 chip support for PyTorch #1656, #1696
• JDK 17 support #1672
• Full support of PyTorch Get Indexing for NDArrays #1719
• Full support of PyTorch Set Indexing for NDArrays #1755
• Updates Dataset documentation #1686
• Moves djl-bench to DJL Serving #1743
• Engines and Extensions
  • TensorFlow 2.7.0 #1674
  • New djl-audio extension #1681
  • Adds GPU support for XGBoost #1680
  • tokenizers 0.12.0 #1739
  • sentencepiece 0.1.96 #1745
  • TensorRT 8.4.1 #1758
• Newly Added Datasets
  • Goemotions dataset #1598
  • Daily Delhi Climate Dataset #1667
  • Tablesaw Dataset #1679
  • Universal Dependencies Corpus for English #1595
  • Movielens 100k dataset #1718

Enhancement

• Increases build version to 0.18.0 #1645
• Support of take from pytorch #1627
• Upgrades JNA to 5.11.0 #1655
• Improves ServingTranslator output handling #1654
• Adds width/height conversion to ObjectDetection #1651
• Add openCV find rectangle method to improve PaddleORC performance #1662
• Removes unnecessary logics in Paddle #1676
• Adds Cyclical Tracker #1671
• Adds support of take on MXNet engine #1649
• Implements GhostBatchNorm #1666
• Allows indexer to attach specific manager #1688
• Upgrades android module to use DJL 0.18.0 #1693
• Uses pytorch to test API and aws-ai module #1695
• Avoid download cudf dependency for XGBoost at build time #1694
• Bumps up versions #1691
• Refactors ServingTranslatorFactory #1702
• Adds "capped" state to NDManager #1683
• Upgrades NDK version to 21.1.6352462 #1707
• Adds LinearCollection block #1658
• Adds android test code #1714
• Changes DJL repo names from aws-samples #1716
• Adds serving deb file publish for CI #1721
• Upgrades codeql github action to v2 #1730
• Fixes publish serving deb #1725
• Adds ai.djl.audio and ai.djl.tablesaw to BOM #1728
• Upgrades java formatter to 1.15.0 #1727
• Adds name to LambdaBlock #1726
• Adds disable static option in MXNet to allow some model running #1735
• Improves Criteria.toBuilder() api #1741
• Fixes serving publish github actions #1742
• Enables better textual description of neural net #1720
• Ignores hidden files for nested model directory #1754
• Creates action to auto-close issues without response #1751
• Builds jni for aarch64 #1756
• Removes unnecessary packages from tensorrt dockerfile #1760
• Adds log for custom Translator loading #1761
• Stores indices with batch #1750
• Adds put feature with linear indexing on PyTorch engine #1749
• Adds NDList to IValue unit test #1762
• Makes tensorflow NDArray always dense #1763
• JDK version updated #1767
• Adds IValue Dict(str, IValue) support #1765
• Creates tabular dataset #1699
• Creates PreparedFeaturizer #1700
• Normalizes Numeric Featurizer #1701
• Adds support for registerCustomOpLibrary for ONNXRuntime. #1771
• Implements inverse operation #1768
• Supports Image output for ImageServingTranslator #1772
• Allows user specify model name in serving.properties file #1780
• Adds model zoo implementation #1781
• Change the sagemaker model to s3 #1769
• Improvements to image coloring #1784
• Updates bert classification notebook to reflect changes in CSVDataset #1786
• Paddle model zoo should not have compile time dependency on opencv #1785

Documentation and Examples

• Updates README for 0.17.0 Release #1646
• Increases DJL Version for main branchhttps://github.com//pull/1644
• Fixes broken and redirected links #1647
• Clarifies typo in example documentation #1685
• Fixes javadoc error in JDK 1.8 #1698
• Update description for latest javadoc location #1708
• Creates README for DJL Android PyTorch 1.11 builds #1704
• Adds serving to docs site #1715
• Fixes broken javadoc links in jupyter notebooks #1722
• Readme updates for PyTorch 1.11 #1709
• Updates CVSDataset example README file #1729
• Updates document to use MXNet 1.9.0 #1737
• Adds documentation on loading TF extension libraries for running certa… #1776
• Adds semantic segmentation example #1764

Breaking Changes

The following changes to api.djl.basicdataset.tabular may cause backwards incompatibility:

• Features and Featurizers have been refactored out of the CSVDataset class. The are now present in ai.djl.basicdataset.tabular.utils
• CSVDataset now extends a new abstract class, TabularDataset
• api.djl.basicdataset.utils.DynamicBuffer implementation has moved to api.djl.basicdataset.tabular.utils.DynamicBuffer

Bug Fixes

• [TensorFlow] fix GPU memory leak #1648
• [tensorrt] Fixes native library path #1650
• Fixes bug in NDArray.oneHot() API #1661
• Fix errors in "getIoU" function #1687
• Follow symlinks when loading models. #1692
• [pytorch] Fixes model loading bug for 1.11.0 #1705
• Ensure PreparedOneHotStringFeaturizer encodes categorical mappings co… #1723
• [tensorflow] Avoid NPE in TfEngine #1734
• [m1] Fix test failure on macOS M1 machine by @frankfliu in #1777

Contributors

@dandansamax
@DiaaAj
@frankfliu
@WHALEEYE
@patins1
@JohnDoll2023
@KexinFeng
@Konata-CG
@pdradx
@lanking520
@siddvenk
@LanAtGitHub
@warthecatalyst
@zachgk
@freemanliu
@liumingxiy

New Contributors

• @Konata-CG made their first contribution in #1598
• @pdradx made their first contribution in #1661
• @JohnDoll2023 made their first contribution in #1685
• @liumingxiy made their first contribution in #1687
• @LanAtGitHub made their first contribution in #1679
• @freemanliu made their first contribution in #1692
• @DiaaAj made their first contribution in #1666
• @warthecatalyst made their first contribution in #1767
• @siddvenk made their first contribution in #1718

Full Changelog: v0.17.0...v0.18.0