diff --git a/docs/resources/prerelease_information.md b/docs/resources/prerelease_information.md index c9df5aa8a27..1a030a3d01a 100644 --- a/docs/resources/prerelease_information.md +++ b/docs/resources/prerelease_information.md @@ -23,13 +23,71 @@ Please file a github Issue on these with the label “pre-release” so we can g * Subject to change in the future. * Introduced to allow early testing and get early feedback from the community. + .. button-link:: https://github.com/openvinotoolkit/openvino/issues/new?assignees=octocat&labels=Pre-release%2Csupport_request&projects=&template=pre_release_feedback.yml&title=%5BPre-Release+Feedback%5D%3A + :color: primary + :outline: + + :material-regular:`feedback;1.4em` Share your feedback -.. dropdown:: OpenVINO Toolkit 2023.1.0.dev20230623 + +.. dropdown:: OpenVINO Toolkit 2023.1.0.dev20230728 :open: :animate: fade-in-slide-down :color: primary + `Check on GitHub `__ + + **New features:** + + * Common: + + - Proxy & hetero plugins have been migrated to API 2.0, providing enhanced compatibility and stability. + - Symbolic shape inference preview is now available, leading to improved performance for Large Language models (LLMs). + + * CPU Plugin: Memory efficiency for output data between CPU plugin and the inference request has been significantly improved, + resulting in better performance for LLMs. + * GPU Plugin: + + - Enabled support for dynamic shapes in more models, leading to improved performance. + - Introduced the 'if' and DetectionOutput operator to enhance model capabilities. + - Various performance improvements for StableDiffusion, SegmentAnything, U-Net, and Large Language models. + - Optimized dGPU performance through the integration of oneDNN 3.2 and fusion optimizations for MVN, Crop+Concat, permute, etc. + + + * GNA Runtime: Addressed stability issues on the Gemini Lake platform related to GNA device plugin creation (ref: #115949). + + * Frameworks: + + - PyTorch Updates: OpenVINO now supports originally quantized PyTorch models, including models produced with the Neural Network Compression Framework (NNCF). + - TensorFlow FE: Now supports Switch/Merge operations, bringing TensorFlow 1.x control flow support closer to full compatibility and enabling more models. + - Python API: Python Conversion API is now the primary conversion path, making it easier for Python developers to work with OpenVINO. + + * NNCF: Enabled SmoothQuant method for Post-training Quantization, offering more techniques for quantizing models. + + **Distribution:** + + * Added conda-forge pre-release channel, simplifying OpenVINO pre-release installation with "conda install -c "conda-forge/label/openvino_dev" openvino" command. + * Python API is now distributed as a part of conda-forge distribution, allowing users to access it using the command above. + * Runtime can now be installed and used via vcpkg C++ package manager, providing more flexibility in integrating OpenVINO into projects. + +**New models:** + + * Enabled Large Language models such as open-llama, bloom, dolly-v2, GPT-J, llama-2, and more. We encourage users to try running their custom LLMs and share their feedback with us! + * Optimized performance for Stable Diffusion v2.1 (FP16 and INT8 for GPU) and Clip (CPU, INT8) models, improving their overall efficiency and accuracy. + +**New openvino_notebooks:** + + * `242-freevc-voice-conversion `__ - High-Quality Text-Free One-Shot Voice Conversion with FreeVC + * `241-riffusion-text-to-music `__ - Text-to-Music generation using Riffusion + * `220-books-alignment-labse `__ - Cross-lingual Books Alignment With Transformers + * `243-tflite-selfie-segmentation `__ - Selfie Segmentation using TFLite + + +.. dropdown:: OpenVINO Toolkit 2023.1.0.dev20230623 + :animate: fade-in-slide-down + :color: secondary + The first pre-release for OpenVINO 2023.1, focused on fixing bugs and performance issues. `Check on GitHub `__