Safety vulnerability ID: 47894
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Openvino-tensorflow 2.0.0 updates its dependency 'TensorFlow' to v2.8.0 to include security fixes.
Latest version: 2.3.0
OpenVINO™ integration with TensorFlow
This release provides functional improvements and enhanced backend support from the previous release.
- **Version Upgrades**
- OpenVINO™ version upgraded to 2022.1.0. It provides functional bug fixes, and capability changes from the previous 2021.4.2 LTS release. This new release has increased the support for more deep learning models, and has improved inferencing performance
- TensorFlow version upgraded to 2.8.0. It provides bug fixes and address vulnerabilities over TensorFlow 2.7.0
- Increased model coverage across TensorFlow Hub on all the supported Intel backends
- Performance Optimizations of existing supported models
- **GA Support for Windows 10 - 64 bit** - with improved model support and enhanced performance
- **Docker Support**
- Dockerfiles for Ubuntu 18.04 and Ubuntu 20.04 OS are available. Also, Dockerfiles of TensorFlow Serving for corresponding OS's are released. These can be used to build runtime Docker images for **OpenVINO™ integration with TensorFlow** with CPU, GPU, VPU, and VAD-M support
- Prebuilt images can be found on [Docker Hub](https://hub.docker.com/r/openvino/openvino_tensorflow_ubuntu18_runtime)
- TensorFlow Serving Docker images released for **OpenVINO™ integration with TensorFlow** can be used to run all the workflows supported by standalone TensorFlow Serving Docker images
- **Hardware support**
- Updated platform support for AlderLake Family
- **Intel® DevCloud Gen1 and Gen2 samples updated for **OpenVINO™ integration with TensorFlow** v2.0.0**
- **Enhanced GitHub documentation**
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application