We are thrilled to announce that Adlik, an LF AI & Data Foundation Incubation-Stage Project, has released version 1.0 on December 20th, 2022. Adlik is a toolkit for accelerating deep learning inference, which provides an overall support for bringing trained models into production and eases the learning curves for different kinds of inference frameworks. In Adlik, Model Optimizer and Model Compiler delivers optimized and compiled models for a certain hardware environment, and Inference Engine provides deployment solutions for cloud, edge and device.
Apart from the regular updates, the most important feature of this release is the support for Yunsui i20 which is designed by Enflame Technology Co Ltd. So now users can have one more efficient option for their cloud inference solutions.
Compiler
- Support compiling ONNX model to the data format which can be accelerated by Cloudblazer Yunsui i20 with a Suixi 2.5 chip of Enflame company
- Upgrade OpenVINO to 2022.3.0
- Upgrade TensorFlow to 2.10.1
- Upgrade TensorRT to 8.4.3.1
- Upgrade Ubuntu to 20.04, Python to 3.8 and CUDA to 11.6 in the base docker images
Inference Engine
- Support model inference on Cloudblazer Yunsui i20
- Upgrade OpenVINO to 2022.3.0
- Upgrade TensorFlow to 2.10.1
- Upgrade TensorRT to 8.4.3.1
- Upgrade Ubuntu to 20.04, Python to 3.8 and CUDA to 11.6 in the base docker images
Model Zoo
- Add MobileNet v2 series model, with 72.396% accuracy on the imagenet-1k dataset
Benchmark Test
- Complete Benchmark tests of YOLOv5m and MaskRcnn on the Intel 8260 CPU, including accuracy, performance indicators such as throughput
Welcome to join us and try Adlik release 1.0! To learn more about the Adlik new release, check out the full release notes. Want to get involved with Adlik? Be sure to follow our WeChat public account (Adlik_AI) or join the Adlik-Announce and Adlik Technical-Discuss mailing lists to join the community and stay connected on the latest
updates.
Adlik Key Links
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