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Release DJL v0.16.0 release · deepjavalibrary/djl · GitHub
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DJL v0.16.0 release
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Key Features
- Upgrades Apache MXNet engine to 1.9.0 with CUDA 11.2 support
- Improves ONNXRuntime engine memory configurations
- Improves fastText engine’s API
- Fixes several critical bugs
Enhancement
- Upgrades Apache MXNet engine to 1.9.0 with CUDA 11.2 support (#1517)
- Improves ONNXRuntime engine:
- Introduces several API improvements:
- Uses JDK 11 for github actions in CI build (#1489)
- Adds huggingface tokenizer extension to BOM (#1487)
- Removes unnecessary github actions workflow (#1484)
- Upgrades DJL android to 0.15.0 (#1483)
Documentation and examples
- Fixes outdated dataset document (#1523)
- Fixes repository README typo (#1519)
- Fixes PyTorch JNI dependency in README document (#1513)
- Fixes MLP example code in README (#1497)
- Fixes djl.ai website vue version (#1495)
- Updates inferentia demo to DJL 0.15.0 (#210)
- Updates android README to use 0.15.0 (#1486)
- Publishes D2L Chinese book with latest chapters https://d2l-zh.djl.ai
Breaking change
- fastText specific inference and training APIs are removed, use standard DJL API instead
Bug Fixes
- Fixes memory leak in hybrid engine (#1518)
- Fixes fastText JNI build (#1531)
- Fixes the python version bug in the benchmark workflow files (#1530)
- Fixes sentencepiece NPE bug (#1492)
- Fixes PyTorch load native library failure on Android (#1485)
- Fixes topK items for DetectedObjects (#1478)
Contributors
This release is thanks to the following contributors:
- Andréa Duque (@andreabrduque)
- Dennis Kieselhorst (@deki)
- Frank Liu (@frankfliu)
- Jake Lee (@stu1130)
- Kexin Feng (@KexinFeng)
- Qing Lan (@lanking520)
- Sindhu Somasundaram (@sindhuvahinis)
- Zach Kimberg (@zachgk)
New Contributors
- Andréa Duque made their first contribution in #1510
Full Changelog: https://github.com/deepjavalibrary/djl/compare/v0.15.0..v0.16.0
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