openvino/docs/resources/prerelease_information.md

Prerelease Information

@sphinxdirective

OpenVINO follows a four-month release cycle, which means three major releases a year, the last one being an LTS version. To ensure you do not have to wait long to test its new features, OpenVINO developers continue to roll out prerelease versions. In this page you can find a general changelog and the schedule for all versions for the current year.

.. note:: These versions are pre-release software and have not undergone full validation or qualification. OpenVINO™ toolkit pre-release is:

• NOT to be incorporated into production software/solutions.
• NOT subject to official support.
• Subject to change in the future.
• Introduced to allow early testing and get early feedback from the community.

.. dropdown:: OpenVINO Toolkit 2023.0.0.dev20230217 :open: :animate: fade-in-slide-down :color: primary

• Added support for PaddlePaddle Framework 2.4.
• Tensorflow Lite Frontend - load models directly via "read_model" or export to OpenVINO IR, using Model Optimizer or "convert_model".
• New option to control whether to use CPU to accelerate first inference latency for accelerator HW devices like GPU.
• New NNCF API call - "prepare_for_inference()" returns the compressed model in the source framework format. "export()" becomes optional.
• Security fix to protect OpenVINO against dll injection - search paths change to absolute paths to secure locations. OpenVINO installed into protected directories, ignoring the relative path and start up directory will be safe from this vulnerability.
• Added support for new model use cases and optimizing the existing support (better accuracy or performance).
• New FrontEndManager register_front_end(name, lib_path) interface added, to remove "OV_FRONTEND_PATH" env var (a way to load non-default frontends).

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