From 4cf6f57fb5fa64005d57b3598c34848446b5c05c Mon Sep 17 00:00:00 2001 From: Maciej Smyk Date: Wed, 31 Jan 2024 14:02:50 +0100 Subject: [PATCH] comment fix (#22557) --- .../deployment_migration.rst | 117 +++++++++--------- ...stalling-openvino-from-archive-windows.rst | 10 -- 2 files changed, 58 insertions(+), 69 deletions(-) diff --git a/docs/articles_en/documentation/openvino_legacy_features/api_2_0_transition_guide/deployment_migration.rst b/docs/articles_en/documentation/openvino_legacy_features/api_2_0_transition_guide/deployment_migration.rst index e8b69709fee..419a5e89856 100644 --- a/docs/articles_en/documentation/openvino_legacy_features/api_2_0_transition_guide/deployment_migration.rst +++ b/docs/articles_en/documentation/openvino_legacy_features/api_2_0_transition_guide/deployment_migration.rst @@ -5,8 +5,8 @@ Installation & Deployment .. meta:: - :description: OpenVINO™ API 2.0 focuses on the use of development tools and - deployment of applications, it also simplifies migration from + :description: OpenVINO™ API 2.0 focuses on the use of development tools and + deployment of applications, it also simplifies migration from different frameworks to OpenVINO. @@ -18,7 +18,7 @@ One of the main concepts for OpenVINO™ API 2.0 is being "easy to use", which i * Development and deployment of OpenVINO-based applications. -To accomplish that, the 2022.1 release OpenVINO introduced significant changes to the installation +To accomplish that, the 2022.1 release OpenVINO introduced significant changes to the installation and deployment processes. Further changes were implemented in 2023.1, aiming at making the installation process even simpler. @@ -27,8 +27,8 @@ process even simpler. These instructions are largely deprecated and should be used for versions prior to 2023.1. The OpenVINO Development Tools package is being deprecated and will be discontinued entirely in 2025. - With this change, the OpenVINO Runtime package has become the default choice for installing the - software. It now includes all components necessary to utilize OpenVINO's functionality. + With this change, the OpenVINO Runtime package has become the default choice for installing the + software. It now includes all components necessary to utilize OpenVINO's functionality. @@ -68,7 +68,7 @@ In OpenVINO 2022.1 and later, you can install the development tools only from a .. code-block:: sh - $ python3 -m pip install -r /tools/requirements_tf.txt + $ python3 -m pip install -r /tools/requirements_tf.txt This will install all the development tools and additional components necessary to work with TensorFlow via the ``openvino-dev`` package (see **Step 4. Install the Package** on the `PyPI page `__ for parameters of other frameworks). @@ -81,7 +81,7 @@ Then, the tools can be used by commands like: $ pot -h -Installation of any other dependencies is not required. For more details on the installation steps, see the +Installation of any other dependencies is not required. For more details on the installation steps, see the `Install OpenVINO Development Tools `__ prior to OpenVINO 2023.1. Interface Changes for Building C/C++ Applications @@ -127,36 +127,36 @@ It is possible to build applications without the CMake interface by using: MSVC .. tab-item:: Include dirs :sync: include-dirs - + .. code-block:: sh - + /deployment_tools/inference_engine/include /deployment_tools/ngraph/include - + .. tab-item:: Path to libs :sync: path-libs - + .. code-block:: sh - + /deployment_tools/inference_engine/lib/intel64/Release /deployment_tools/ngraph/lib/ - + .. tab-item:: Shared libs :sync: shared-libs - + .. code-block:: sh - + // UNIX systems inference_engine.so ngraph.so - + // Windows inference_engine.dll ngraph.dll - + .. tab-item:: (Windows) .lib files :sync: windows-lib-files - + .. code-block:: sh - + ngraph.lib inference_engine.lib @@ -166,36 +166,36 @@ It is possible to build applications without the CMake interface by using: MSVC .. tab-item:: Include dirs :sync: include-dirs - + .. code-block:: sh - + /runtime/include - + .. tab-item:: Path to libs :sync: path-libs - + .. code-block:: sh - + /runtime/lib/intel64/Release - + .. tab-item:: Shared libs :sync: shared-libs - + .. code-block:: sh - + // UNIX systems openvino.so - + // Windows openvino.dll - + .. tab-item:: (Windows) .lib files :sync: windows-lib-files - + .. code-block:: sh - + openvino.lib - + Clearer Library Structure for Deployment ######################################## @@ -219,31 +219,30 @@ Below are detailed comparisons of the library structure between OpenVINO 2022.1 * ``openvino_onnx_frontend`` is used to read ONNX models instead of ``inference_engine_onnx_reader`` (with its dependencies). * ``openvino_paddle_frontend`` is added in 2022.1 to read PaddlePaddle models. - + +.. Older versions of OpenVINO had several core libraries and plugin modules: +.. - Core: ``inference_engine``, ``ngraph``, ``inference_engine_transformations``, ``inference_engine_lp_transformations`` +.. - Optional ``inference_engine_preproc`` preprocessing library (if ``InferenceEngine::PreProcessInfo::setColorFormat`` or ``InferenceEngine::PreProcessInfo::setResizeAlgorithm`` are used) +.. - Plugin libraries: +.. - ``MKLDNNPlugin`` for :doc:`CPU ` device +.. - ``clDNNPlugin`` for :doc:`GPU ` device +.. - ``MultiDevicePlugin`` for :doc:`Multi-device execution ` +.. - others +.. - Plugins to read and convert a model: +.. - ``inference_engine_ir_reader`` to read OpenVINO IR +.. - ``inference_engine_onnx_reader`` (with its dependencies) to read ONNX models +.. Now, the modularity is more clear: +.. - A single core library with all the functionality ``openvino`` for C++ runtime +.. - ``openvino_c`` with Inference Engine API C interface +.. - **Deprecated** Optional ``openvino_gapi_preproc`` preprocessing library (if ``InferenceEngine::PreProcessInfo::setColorFormat`` or ``InferenceEngine::PreProcessInfo::setResizeAlgorithm`` are used) +.. - Use :doc:`preprocessing capabilities of OpenVINO API 2.0 ` +.. - Plugin libraries with clear names: +.. - ``openvino_intel_cpu_plugin`` +.. - ``openvino_intel_gpu_plugin`` +.. - ``openvino_auto_plugin`` +.. - others +.. - Plugins to read and convert models: +.. - ``openvino_ir_frontend`` to read OpenVINO IR +.. - ``openvino_onnx_frontend`` to read ONNX models +.. - ``openvino_paddle_frontend`` to read Paddle models diff --git a/docs/articles_en/get_started/installing-openvino-overview/installing-openvino-windows-header/installing-openvino-from-archive-windows.rst b/docs/articles_en/get_started/installing-openvino-overview/installing-openvino-windows-header/installing-openvino-from-archive-windows.rst index c92e716f888..bede7d4f033 100644 --- a/docs/articles_en/get_started/installing-openvino-overview/installing-openvino-windows-header/installing-openvino-from-archive-windows.rst +++ b/docs/articles_en/get_started/installing-openvino-overview/installing-openvino-windows-header/installing-openvino-from-archive-windows.rst @@ -238,13 +238,3 @@ Additional Resources * Pre-trained deep learning models: :ref:`Overview of OpenVINO™ Toolkit Pre-Trained Models ` * IoT libraries and code samples in the GitHUB repository: `Intel® IoT Developer Kit `__ - -