Openvino-tensorflow

This release provides performance improvements and functional bug fixes from the previous release.

- Performance Optimizations of existing supported models
- Updated opset support to OpenVINO™ opset8
- Dynamic shapes support enabled for translation of multiple Ops, which resulted in larger cluster sizes and performance improvement
- Added support for following TensorFlow Ops in **OpenVINO™ integration with TensorFlow**: CTCGreedyDecoder, SparseToDense, BatchMatMulV2, BatchMatMul, SquaredDifference, LessEqual, NotEqual, Cumsum

- TensorFlow version upgraded to v2.9.1. It provides bug fixes and addresses vulnerabilities over TensorFlow v2.8.0
- **OpenVINO™ integration with TensorFlow** PyPi release is built against v2.9.1, and it will also work with PATCH versions like v2.9.0, and the upcoming v2.9.x releases
- **OpenVINO™ integration with TensorFlow** source code is backward compatible. This means you will be able to build its source code with the past MINOR versions of TensorFlow 2.x. (validated for TensorFlow versions **v2.4.4, v2.5.3, v2.6.5, v2.7.3, v2.8.2 and v2.9.1**)

- Docker Support
- **OpenVINO™ integration with TensorFlow** Runtime Dockerfiles for Ubuntu 18.04 and Ubuntu 20.04 are updated
- **OpenVINO™ integration with TensorFlow** Runtime Dockerfiles with **TF-Serving** for Ubuntu 18.04 and Ubuntu 20.04 are updated
- Prebuilt images are updated and can be found on [Docker Hub](https://hub.docker.com/r/openvino/openvino_tensorflow_ubuntu20_runtime) and [Azure Marketplace](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/intel_corporation.openvinotensorflow)


- Enhanced GitHub documentation

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**

1. This release provides functional improvements and enhanced backend support from the previous release. This includes
- OpenVINO™ 2021.4.2 upgrade - Long Term Support release of OpenVINO™ with focus on stability and compatibility.
- TensorFlow v2.7.0 upgrade – Bug fixes and address vulnerabilities over TensorFlow 2.5.1 release.
- Increased model coverage across TensorFlow Hub on all the supported Intel backends.
- Performance Optimizations of existing supported models on all Intel backends
2. Additional support for Windows 10 - 64 bit
- It is a Beta Preview release
- Performance Optimization/improvements are in progress
3. Updated platform support for AlderLake Family.
4. Python/ C++ examples and Colab notebooks are now compliant to TensorFlow 2.x.
5. Enhanced GitHub documentation.

This release provides few functional bug fixes and minor updates over the previous release
- Fixes Quantization models support
- Minor fix in Colab notebook and Build documentation
- Image Tagging utility added to examples
- Extra checks added to address vulnerabilities

1. This release provides functional improvements and enhanced backend support from the previous release. This includes
- OpenVINO™ 2021.4.1 upgrade - Long Term Support release of OpenVINO™ with focus on stability and compatibility.
- TensorFlow v2.5.1 upgrade – Bug fixes and address vulnerabilities over TensorFlow 2.4.1 release.
- OpenVINO™ integration with TensorFlow samples in Intel DevCloud – User can learn and test this capability across multiple Intel hardware devices.
- TensorFlow 2.x compliant C++ samples covering additional use-cases.
- Enabled FP16 precision on iGPU backend.
- Increased model (TensorFlow Hub/ OpenVINO™ Model Zoo) coverage on all the supported Intel backends.
- Performance Optimizations of existing supported models on all Intel backends
- Preview support of INT8 quantized models using OpenVINO™ Neural Network Compression Framework (NNCF)
- API to export OpenVINO™ IR (Intermediate Representation) for easy transition to native OpenVINO™
2. Additional support for MacOS and Ubuntu 20.04 and Python 3.9.
3. Updated platform support for TigerLake and IceLake Family.
4. Documentation improvements
- Added Mandarin version of GitHub documentation
- Enhanced GitHub documentation

This is a Preview Release