Merge IE & nGraph DG (#10055)
* Changed folder for documentation * Fixed links * Merged nGraph DG to OpenVINO Runtime UG * Fixed errors * Fixed some issues * Fixed tree * Fixed typo * Update docs/documentation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update README.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update README.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Fixed name * FIxed snippets * Small fixes * Update docs/HOWTO/Custom_Layers_Guide.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Fixed comments * Try to fix doc * Try to fix doc issue * Update docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Update docs/OV_Runtime_UG/model_representation.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
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@@ -18,7 +18,6 @@
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:hidden:
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openvino_docs_IE_DG_Deep_Learning_Inference_Engine_DevGuide
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openvino_docs_nGraph_DG_DevGuide
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openvino_docs_install_guides_deployment_manager_tool
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openvino_inference_engine_tools_compile_tool_README
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@@ -95,7 +94,7 @@ This section provides reference documents that guide you through developing your
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With the [Model Downloader](@ref omz_tools_downloader) and [Model Optimizer](MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md) guides, you will learn to download pre-trained models and convert them for use with the OpenVINO™ toolkit. You can provide your own model or choose a public or Intel model from a broad selection provided in the [Open Model Zoo](model_zoo.md).
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## Deploying Inference
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The [Inference Engine Developer Guide](IE_DG/Deep_Learning_Inference_Engine_DevGuide.md) explains the process of creating your own application that runs inference with the OpenVINO™ toolkit. The [API Reference](./api_references.html) defines the Inference Engine API for Python, C++, and C and the nGraph API for Python and C++. The Inference Engine API is what you'll use to create an OpenVINO™ application, while the nGraph API is available for using enhanced operations sets and other features. After writing your application, you can use the [Deployment Manager](install_guides/deployment-manager-tool.md) for deploying to target devices.
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The [OpenVINO™ Runtime User Guide](OV_Runtime_UG/Deep_Learning_Inference_Engine_DevGuide.md) explains the process of creating your own application that runs inference with the OpenVINO™ toolkit. The [API Reference](./api_references.html) defines the Inference Engine API for Python, C++, and C and the nGraph API for Python and C++. The Inference Engine API is what you'll use to create an OpenVINO™ application, while the nGraph API is available for using enhanced operations sets and other features. After writing your application, you can use the [Deployment Manager](install_guides/deployment-manager-tool.md) for deploying to target devices.
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## Tuning for Performance
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The toolkit provides a [Performance Optimization Guide](optimization_guide/dldt_optimization_guide.md) and utilities for squeezing the best performance out of your application, including [Accuracy Checker](@ref omz_tools_accuracy_checker), [Post-Training Optimization Tool](@ref pot_README), and other tools for measuring accuracy, benchmarking performance, and tuning your application.
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@@ -104,4 +103,4 @@ The toolkit provides a [Performance Optimization Guide](optimization_guide/dldt_
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You can choose to use the [OpenVINO™ Deep Learning Workbench](@ref workbench_docs_Workbench_DG_Introduction), a web-based tool that guides you through the process of converting, measuring, optimizing, and deploying models. This tool also serves as a low-effort introduction to the toolkit and provides a variety of useful interactive charts for understanding performance.
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## Media Processing
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The OpenVINO™ toolkit comes with several sets of libraries and tools that add capability and flexibility to the toolkit. These include [DL Streamer](@ref gst_samples_README), a utility that eases creation of pipelines via command line or API, and optimized versions of OpenCV and OpenCL.
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The OpenVINO™ toolkit comes with several sets of libraries and tools that add capability and flexibility to the toolkit. These include [DL Streamer](@ref gst_samples_README), a utility that eases creation of pipelines via command line or API, and optimized versions of OpenCV and OpenCL.
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