[DOCS] Hyperlink 23.3 update for master (openvinotoolkit#21908)

* link update * link update * link update * Update dev_api_references.rst * Update dev_api_references.rst * Update apidoc.py * notebooks links * notebook link update * filename update * link update * link update api
ai-codi · Jan 8, 2024 · c0d564a · c0d564a
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diff --git a/README.md b/README.md
@@ -67,18 +67,18 @@ The OpenVINO™ Runtime can infer models on different hardware devices. This sec
     <tbody>
         <tr>
             <td rowspan=2>CPU</td>
-            <td> <a href="https://docs.openvino.ai/2023.2/openvino_docs_OV_UG_supported_plugins_CPU.html#doxid-openvino-docs-o-v-u-g-supported-plugins-c-p-u">Intel CPU</a></tb>
+            <td> <a href="https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_supported_plugins_CPU.html#doxid-openvino-docs-o-v-u-g-supported-plugins-c-p-u">Intel CPU</a></tb>
             <td><b><i><a href="./src/plugins/intel_cpu">openvino_intel_cpu_plugin</a></i></b></td>
             <td>Intel Xeon with Intel® Advanced Vector Extensions 2 (Intel® AVX2), Intel® Advanced Vector Extensions 512 (Intel® AVX-512), and AVX512_BF16, Intel Core Processors with Intel AVX2, Intel Atom Processors with Intel® Streaming SIMD Extensions (Intel® SSE), Intel® Advanced Matrix Extensions (Intel® AMX)</td>
         </tr>
         <tr>
-            <td> <a href="https://docs.openvino.ai/2023.2/openvino_docs_OV_UG_supported_plugins_CPU.html#doxid-openvino-docs-o-v-u-g-supported-plugins-c-p-u">ARM CPU</a></tb>
+            <td> <a href="https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_supported_plugins_CPU.html#doxid-openvino-docs-o-v-u-g-supported-plugins-c-p-u">ARM CPU</a></tb>
             <td><b><i><a href="./src/plugins/intel_cpu">openvino_arm_cpu_plugin</a></i></b></td>
             <td>Raspberry Pi™ 4 Model B, Apple® Mac mini with Apple silicon
         </tr>
         <tr>
             <td>GPU</td>
-            <td><a href="https://docs.openvino.ai/2023.2/openvino_docs_OV_UG_supported_plugins_GPU.html#doxid-openvino-docs-o-v-u-g-supported-plugins-g-p-u">Intel GPU</a></td>
+            <td><a href="https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_supported_plugins_GPU.html#doxid-openvino-docs-o-v-u-g-supported-plugins-g-p-u">Intel GPU</a></td>
             <td><b><i><a href="./src/plugins/intel_gpu">openvino_intel_gpu_plugin</a></i></b></td>
             <td>Intel Processor Graphics, including Intel HD Graphics and Intel Iris Graphics</td>
         </tr>
@@ -96,22 +96,22 @@ OpenVINO™ Toolkit also contains several plugins which simplify loading models
     </thead>
     <tbody>
         <tr>
-            <td><a href="https://docs.openvino.ai/2023.2/openvino_docs_OV_UG_supported_plugins_AUTO.html">Auto</a></td>
+            <td><a href="https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_supported_plugins_AUTO.html">Auto</a></td>
             <td><b><i><a href="./src/plugins/auto">openvino_auto_plugin</a></i></b></td>
             <td>Auto plugin enables selecting Intel device for inference automatically</td>
         </tr>
         <tr>
-            <td><a href="https://docs.openvino.ai/2023.2/openvino_docs_OV_UG_Automatic_Batching.html">Auto Batch</a></td>
+            <td><a href="https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_Automatic_Batching.html">Auto Batch</a></td>
             <td><b><i><a href="./src/plugins/auto_batch">openvino_auto_batch_plugin</a></i></b></td>
             <td>Auto batch plugin performs on-the-fly automatic batching (i.e. grouping inference requests together) to improve device utilization, with no programming effort from the user</td>
         </tr>
         <tr>
-            <td><a href="https://docs.openvino.ai/2023.2/openvino_docs_OV_UG_Hetero_execution.html#doxid-openvino-docs-o-v-u-g-hetero-execution">Hetero</a></td>
+            <td><a href="https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_Hetero_execution.html#doxid-openvino-docs-o-v-u-g-hetero-execution">Hetero</a></td>
             <td><b><i><a href="./src/plugins/hetero">openvino_hetero_plugin</a></i></b></td>
             <td>Heterogeneous execution enables automatic inference splitting between several devices</td>
         </tr>
         <tr>
-            <td><a href="https://docs.openvino.ai/2023.2/openvino_docs_OV_UG_Running_on_multiple_devices.html#doxid-openvino-docs-o-v-u-g-running-on-multiple-devices">Multi</a></td>
+            <td><a href="https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_Running_on_multiple_devices.html#doxid-openvino-docs-o-v-u-g-running-on-multiple-devices">Multi</a></td>
             <td><b><i><a href="./src/plugins/auto">openvino_auto_plugin</a></i></b></td>
             <td>Multi plugin enables simultaneous inference of the same model on several devices in parallel</td>
         </tr>
@@ -158,9 +158,9 @@ The list of OpenVINO tutorials:
 ## System requirements
 
 The system requirements vary depending on platform and are available on dedicated pages:
-- [Linux](https://docs.openvino.ai/2023.2/openvino_docs_install_guides_installing_openvino_linux_header.html)
-- [Windows](https://docs.openvino.ai/2023.2/openvino_docs_install_guides_installing_openvino_windows_header.html)
-- [macOS](https://docs.openvino.ai/2023.2/openvino_docs_install_guides_installing_openvino_macos_header.html)
+- [Linux](https://docs.openvino.ai/2023.3/openvino_docs_install_guides_installing_openvino_linux_header.html)
+- [Windows](https://docs.openvino.ai/2023.3/openvino_docs_install_guides_installing_openvino_windows_header.html)
+- [macOS](https://docs.openvino.ai/2023.3/openvino_docs_install_guides_installing_openvino_macos_header.html)
 
 ## How to build
 
@@ -203,6 +203,6 @@ Report questions, issues and suggestions, using:
 \* Other names and brands may be claimed as the property of others.
 
 [Open Model Zoo]:https://github.com/openvinotoolkit/open_model_zoo
-[OpenVINO™ Runtime]:https://docs.openvino.ai/2023.2/openvino_docs_OV_UG_OV_Runtime_User_Guide.html
-[OpenVINO Model Converter (OVC)]:https://docs.openvino.ai/2023.2/openvino_docs_model_processing_introduction.html#convert-a-model-in-cli-ovc
+[OpenVINO™ Runtime]:https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_OV_Runtime_User_Guide.html
+[OpenVINO Model Converter (OVC)]:https://docs.openvino.ai/2023.3/openvino_docs_model_processing_introduction.html#convert-a-model-in-cli-ovc
 [Samples]:https://github.com/openvinotoolkit/openvino/tree/master/samples
diff --git a/docs/articles_en/documentation/openvino_extensibility/openvino_plugin_library.rst b/docs/articles_en/documentation/openvino_extensibility/openvino_plugin_library.rst
@@ -96,6 +96,6 @@ Detailed Guides
 API References
 ##############
 
-*  `OpenVINO Plugin API <https://docs.openvino.ai/2023.2/groupov_dev_api.html>`__
-*  `OpenVINO Transformation API <https://docs.openvino.ai/2023.2/groupie_transformation_api.html>`__
+*  `OpenVINO Plugin API <https://docs.openvino.ai/2023.3/api/c_cpp_api/group__ov__dev__api.html>`__
+*  `OpenVINO Transformation API <https://docs.openvino.ai/2023.3/api/c_cpp_api/group__ie__transformation__api.html>`__
 
diff --git a/...mentation/openvino_extensibility/openvino_plugin_library/dev_api_references.rst b/...mentation/openvino_extensibility/openvino_plugin_library/dev_api_references.rst
@@ -12,11 +12,11 @@ Plugin API Reference
    :maxdepth: 1
    :hidden:
 
-   ../groupov_dev_api
-   ../groupie_transformation_api
+   ../api/c_cpp_api/group__ov__dev__api
+   ../api/c_cpp_api/group__ie__transformation__api
 
 The guides below provides extra API references needed for OpenVINO plugin development:
 
-*  `OpenVINO Plugin API <https://docs.openvino.ai/2023.2/groupov_dev_api.html>`__
-*  `OpenVINO Transformation API <https://docs.openvino.ai/2023.2/groupie_transformation_api.html>`__
+*  `OpenVINO Plugin API <https://docs.openvino.ai/2023.3/api/c_cpp_api/group__ov__dev__api.html>`__
+*  `OpenVINO Transformation API <https://docs.openvino.ai/2023.3/api/c_cpp_api/group__ie__transformation__api.html>`__
 
diff --git a/...tion/openvino_legacy_features/api_2_0_transition_guide/deployment_migration.rst b/...tion/openvino_legacy_features/api_2_0_transition_guide/deployment_migration.rst
@@ -82,7 +82,7 @@ Then, the tools can be used by commands like:
 
 
 Installation of any other dependencies is not required. For more details on the installation steps, see the 
-`Install OpenVINO Development Tools <https://docs.openvino.ai/2023.0/openvino_docs_install_guides_install_dev_tools.html>`__ prior to OpenVINO 2023.1.
+`Install OpenVINO Development Tools <https://docs.openvino.ai/2023.3/openvino_docs_install_guides_install_dev_tools.html>`__ prior to OpenVINO 2023.1.
 
 Interface Changes for Building C/C++ Applications
 #################################################

diff --git a/...cy_features/mo_ovc_transition/legacy_conversion_api/supported_model_formats.rst b/...cy_features/mo_ovc_transition/legacy_conversion_api/supported_model_formats.rst
@@ -556,7 +556,7 @@ converting them to ONNX for use with OpenVINO should be considered the default p
    OpenVINO versions of 2023 are mostly compatible with the old instructions, 
    through a deprecated MO tool, installed with the deprecated OpenVINO Developer Tools package.
 
-   `OpenVINO 2023.0 <https://docs.openvino.ai/2023.0/Supported_Model_Formats.html>`__ is the last
+   `OpenVINO 2023.0 <https://docs.openvino.ai/2023.3/Supported_Model_Formats_MO_DG.html>`__ is the last
    release officially supporting the MO conversion process for the legacy formats.
 
 
diff --git a/...ted_model_formats/convert_model_tutorials/Convert_RetinaNet_From_Tensorflow.rst b/...ted_model_formats/convert_model_tutorials/Convert_RetinaNet_From_Tensorflow.rst
@@ -18,7 +18,7 @@ Converting a TensorFlow RetinaNet Model
 This tutorial explains how to convert a RetinaNet model to the Intermediate Representation (IR).
 
 `Public RetinaNet model <https://github.com/fizyr/keras-retinanet>`__ does not contain pretrained TensorFlow weights.
-To convert this model to the TensorFlow format, follow the `Reproduce Keras to TensorFlow Conversion tutorial <https://docs.openvino.ai/2023.2/omz_models_model_retinanet_tf.html>`__. 
+To convert this model to the TensorFlow format, follow the `Reproduce Keras to TensorFlow Conversion tutorial <https://docs.openvino.ai/2023.3/omz_models_model_retinanet_tf.html>`__. 
 
 After converting the model to TensorFlow format, run the following command:
 

diff --git a/...alling-openvino-overview/installing-openvino-shared/installing-openvino-pip.rst b/...alling-openvino-overview/installing-openvino-shared/installing-openvino-pip.rst
@@ -136,16 +136,16 @@ Now that you've installed OpenVINO Runtime, you're ready to run your own machine
 .. image:: https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif
    :width: 400
 
-Try the `Python Quick Start Example <https://docs.openvino.ai/2023.2/notebooks/201-vision-monodepth-with-output.html>`__ to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
+Try the `Python Quick Start Example <https://docs.openvino.ai/2023.3/notebooks/201-vision-monodepth-with-output.html>`__ to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
 
 Get started with Python
 +++++++++++++++++++++++
 
 Visit the :doc:`Tutorials <tutorials>` page for more Jupyter Notebooks to get you started with OpenVINO, such as:
 
-* `OpenVINO Python API Tutorial <https://docs.openvino.ai/2023.2/notebooks/002-openvino-api-with-output.html>`__
-* `Basic image classification program with Hello Image Classification <https://docs.openvino.ai/2023.2/notebooks/001-hello-world-with-output.html>`__
-* `Convert a PyTorch model and use it for image background removal <https://docs.openvino.ai/2023.2/notebooks/205-vision-background-removal-with-output.html>`__
+* `OpenVINO Python API Tutorial <https://docs.openvino.ai/2023.3/notebooks/002-openvino-api-with-output.html>`__
+* `Basic image classification program with Hello Image Classification <https://docs.openvino.ai/2023.3/notebooks/001-hello-world-with-output.html>`__
+* `Convert a PyTorch model and use it for image background removal <https://docs.openvino.ai/2023.3/notebooks/205-vision-background-removal-with-output.html>`__
 
 
 

diff --git a/...en/learn_openvino/openvino_samples/c_sample_hello_nv12_input_classification.rst b/...en/learn_openvino/openvino_samples/c_sample_hello_nv12_input_classification.rst
@@ -142,6 +142,6 @@ See Also
 - :doc:`Using OpenVINO™ Samples <openvino_docs_OV_UG_Samples_Overview>`
 - :doc:`Model Downloader <omz_tools_downloader>`
 - :doc:`Convert a Model <openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide>`
-- `C API Reference <https://docs.openvino.ai/2023.2/api/api_reference.html>`__
+- `C API Reference <https://docs.openvino.ai/2023.3/api/api_reference.html>`__
 
 
diff --git a/docs/articles_en/learn_openvino/openvino_samples/get_started_demos.rst b/docs/articles_en/learn_openvino/openvino_samples/get_started_demos.rst
@@ -233,7 +233,7 @@ You need a model that is specific for your inference task. You can get it from o
 Convert the Model
 --------------------
 
-If Your model requires conversion, check the `article <https://docs.openvino.ai/2023.1/openvino_docs_get_started_get_started_demos.html>`__ for information how to do it.
+If Your model requires conversion, check the `article <https://docs.openvino.ai/2023.3/openvino_docs_get_started_get_started_demos.html>`__ for information how to do it.
 
 .. _download-media: