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Name: openvino-hetero-plugin | Distribution: openSUSE Tumbleweed |
Version: 2024.1.0 | Vendor: openSUSE |
Release: 1.1 | Build date: Fri May 10 00:56:53 2024 |
Group: Unspecified | Build host: reproducible |
Size: 395640 | Source RPM: openvino-2024.1.0-1.1.src.rpm |
Packager: http://bugs.opensuse.org | |
Url: https://github.com/openvinotoolkit/openvino | |
Summary: Hetero frontend for Intel OpenVINO toolkit |
OpenVINO is an open-source toolkit for optimizing and deploying AI inference. This package provides the hetero frontend for OpenVINO.
Apache-2.0 AND BSD-2-Clause AND BSD-3-Clause AND HPND AND JSON AND MIT AND OFL-1.1 AND Zlib
* Thu May 09 2024 Alessandro de Oliveira Faria <cabelo@opensuse.org> - Fix sample source path in build script: * openvino-fix-build-sample-path.patch - Update to 2024.1.0 - More Generative AI coverage and framework integrations to minimize code changes. * Mixtral and URLNet models optimized for performance improvements on Intel® Xeon® processors. * Stable Diffusion 1.5, ChatGLM3-6B, and Qwen-7B models optimized for improved inference speed on Intel® Core™ Ultra processors with integrated GPU. * Support for Falcon-7B-Instruct, a GenAI Large Language Model (LLM) ready-to-use chat/instruct model with superior performance metrics. * New Jupyter Notebooks added: YOLO V9, YOLO V8 Oriented Bounding Boxes Detection (OOB), Stable Diffusion in Keras, MobileCLIP, RMBG-v1.4 Background Removal, Magika, TripoSR, AnimateAnyone, LLaVA-Next, and RAG system with OpenVINO and LangChain. - Broader Large Language Model (LLM) support and more model compression techniques. * LLM compilation time reduced through additional optimizations with compressed embedding. Improved 1st token performance of LLMs on 4th and 5th generations of Intel® Xeon® processors with Intel® Advanced Matrix Extensions (Intel® AMX). * Better LLM compression and improved performance with oneDNN, INT4, and INT8 support for Intel® Arc™ GPUs. * Significant memory reduction for select smaller GenAI models on Intel® Core™ Ultra processors with integrated GPU. - More portability and performance to run AI at the edge, in the cloud, or locally. * The preview NPU plugin for Intel® Core™ Ultra processors is now available in the OpenVINO open-source GitHub repository, in addition to the main OpenVINO package on PyPI. * The JavaScript API is now more easily accessible through the npm repository, enabling JavaScript developers’ seamless access to the OpenVINO API. * FP16 inference on ARM processors now enabled for the Convolutional Neural Network (CNN) by default. - Support Change and Deprecation Notices * Using deprecated features and components is not advised. They are available to enable a smooth transition to new solutions and will be discontinued in the future. To keep using Discontinued features, you will have to revert to the last LTS OpenVINO version supporting them. * For more details, refer to the OpenVINO Legacy Features and Components page. * Discontinued in 2024.0: + Runtime components: - Intel® Gaussian & Neural Accelerator (Intel® GNA). Consider using the Neural Processing Unit (NPU) for low-powered systems like Intel® Core™ Ultra or 14th generation and beyond. - OpenVINO C++/C/Python 1.0 APIs (see 2023.3 API transition guide for reference). - All ONNX Frontend legacy API (known as ONNX_IMPORTER_API) - 'PerfomanceMode.UNDEFINED' property as part of the OpenVINO Python API + Tools: - Deployment Manager. See installation and deployment guides for current distribution options. - Accuracy Checker. - Post-Training Optimization Tool (POT). Neural Network Compression Framework (NNCF) should be used instead. - A Git patch for NNCF integration with huggingface/transformers. The recommended approach is to use huggingface/optimum-intel for applying NNCF optimization on top of models from Hugging Face. - Support for Apache MXNet, Caffe, and Kaldi model formats. Conversion to ONNX may be used as a solution. * Deprecated and to be removed in the future: + The OpenVINO™ Development Tools package (pip install openvino-dev) will be removed from installation options and distribution channels beginning with OpenVINO 2025.0. + Model Optimizer will be discontinued with OpenVINO 2025.0. Consider using the new conversion methods instead. For more details, see the model conversion transition guide. + OpenVINO property Affinity API will be discontinued with OpenVINO 2025.0. It will be replaced with CPU binding configurations (ov::hint::enable_cpu_pinning). + OpenVINO Model Server components: - “auto shape” and “auto batch size” (reshaping a model in runtime) will be removed in the future. OpenVINO’s dynamic shape models are recommended instead. * Tue Apr 23 2024 Atri Bhattacharya <badshah400@gmail.com> - License update: play safe and list all third party licenses as part of the License tag. * Tue Apr 23 2024 Atri Bhattacharya <badshah400@gmail.com> - Switch to _service file as tagged Source tarball does not include `./thirdparty` submodules. - Update openvino-fix-install-paths.patch to fix python module install path. - Enable python module and split it out into a python subpackage (for now default python3 only). - Explicitly build python metadata (dist-info) and install it (needs simple sed hackery to support "officially" unsupported platform ppc64le). - Specify ENABLE_JS=OFF to turn off javascript bindings as building these requires downloading npm stuff from the network. - Build with system pybind11. - Bump _constraints for updated disk space requirements. - Drop empty %check section, rpmlint was misleading when it recommended adding this. * Fri Apr 19 2024 Atri Bhattacharya <badshah400@gmail.com> - Numerous specfile cleanups: * Drop redundant `mv` commands and use `install` where appropriate. * Build with system protobuf. * Fix Summary tags. * Trim package descriptions. * Drop forcing CMAKE_BUILD_TYPE=Release, let macro default RelWithDebInfo be used instead. * Correct naming of shared library packages. * Separate out libopenvino_c.so.* into own shared lib package. * Drop rpmlintrc rule used to hide shlib naming mistakes. * Rename Source tarball to %{name}-%{version}.EXT pattern. * Use ldconfig_scriptlet macro for post(un). - Add openvino-onnx-ml-defines.patch -- Define ONNX_ML at compile time when using system onnx to allow using 'onnx-ml.pb.h' instead of 'onnx.pb.h', the latter not being shipped with openSUSE's onnx-devel package (gh#onnx/onnx#3074). - Add openvino-fix-install-paths.patch: Change hard-coded install paths in upstream cmake macro to standard Linux dirs. - Add openvino-ComputeLibrary-include-string.patch: Include header for std::string. - Add external devel packages as Requires for openvino-devel. - Pass -Wl,-z,noexecstack to %build_ldflags to avoid an exec stack issue with intel CPU plugin. - Use ninja for build. - Adapt _constraits file for correct disk space and memory requirements. - Add empty %check section. * Mon Apr 15 2024 Alessandro de Oliveira Faria <cabelo@opensuse.org> - Initial package - Version 2024.0.0 - Add openvino-rpmlintrc.
/usr/lib64/OpenVINO /usr/lib64/OpenVINO/libopenvino_hetero_plugin.so
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Fabrice Bellet, Sun Jun 23 00:32:02 2024