adjust links

Author: kblaszczak-intel

docs/articles_en/about-openvino/compatibility-and-support.rst

@@ -7,15 +7,17 @@ Compatibility and Support
    :hidden:
 
    compatibility-and-support/supported-devices
+   compatibility-and-support/supported-operations
    compatibility-and-support/supported-models
-   compatibility-and-support/supported-operations-framework-frontend
 
 
-:doc:`Supported Devices <compatibility-and-support/supported-devices>` - compatibility information for supported hardware accelerators.
-
-:doc:`Supported Models <compatibility-and-support/supported-models>` - a list of selected models confirmed to work with given hardware.
-
-:doc:`Supported Operations <compatibility-and-support/supported-operations-framework-frontend>` - a listing of layers supported by OpenVINO.
+| :doc:`Supported Devices <compatibility-and-support/supported-devices>`:
+|     compatibility information for supported hardware accelerators.
 
+| :doc:`Supported Operations <compatibility-and-support/supported-operations>`:
+|     a listing of operations supported by OpenVINO, based on device and frontend conformance.
 
+| :doc:`AI Models verified for OpenVINO™ <compatibility-and-support/supported-models>`:
+|     a list of selected models confirmed to work with Intel® Core Ultra™ Processors with the
+      OpenVINO™ toolkit.
 

docs/articles_en/about-openvino/compatibility-and-support/supported-devices.rst

@@ -1,12 +1,12 @@
-Supported Inference Devices
-============================
+Supported Devices
+===============================================================================================
 
 .. meta::
    :description: Check the list of devices used by OpenVINO to run inference
                  of deep learning models.
 
 
-The OpenVINO™ runtime enables you to use a selection of devices to run your
+The OpenVINO™ runtime enables you to use the following devices to run your
 deep learning models:
 :doc:`CPU <../../openvino-workflow/running-inference/inference-devices-and-modes/cpu-device>`,
 :doc:`GPU <../../openvino-workflow/running-inference/inference-devices-and-modes/gpu-device>`,
@@ -18,16 +18,20 @@ deep learning models:
 Beside running inference with a specific device,
 OpenVINO offers the option of running automated inference with the following inference modes:
 
-* :doc:`Automatic Device Selection <../../openvino-workflow/running-inference/inference-devices-and-modes/auto-device-selection>` - automatically selects the best device
-  available for the given task. It offers many additional options and optimizations, including inference on
-  multiple devices at the same time.
-* :doc:`Heterogeneous Inference <../../openvino-workflow/running-inference/inference-devices-and-modes/hetero-execution>` - enables splitting inference among several devices
-  automatically, for example, if one device doesn't support certain operations.
-* :doc:`(LEGACY) Multi-device Inference <./../../documentation/legacy-features/multi-device>` - executes inference on multiple devices.
-  Currently, this mode is considered a legacy solution. Using Automatic Device Selection is advised.
-* :doc:`Automatic Batching <../../openvino-workflow/running-inference/inference-devices-and-modes/automatic-batching>` - automatically groups inference requests to improve
-  device utilization.
+| :doc:`Automatic Device Selection <../../openvino-workflow/running-inference/inference-devices-and-modes/auto-device-selection>`:
+|     automatically selects the best device available for the given task. It offers many
+      additional options and optimizations, including inference on multiple devices at the
+      same time.
+| :doc:`Heterogeneous Inference <../../openvino-workflow/running-inference/inference-devices-and-modes/hetero-execution>`:
+|     enables splitting inference among several devices automatically, for example, if one device
+      doesn't support certain operations.
 
+| :doc:`Automatic Batching <../../openvino-workflow/running-inference/inference-devices-and-modes/automatic-batching>`:
+|     automatically groups inference requests to improve device utilization.
+
+| :doc:`(LEGACY) Multi-device Inference <./../../documentation/legacy-features/multi-device>`:
+|     executes inference on multiple devices. Currently, this mode is considered a legacy
+      solution. Using Automatic Device Selection instead is advised.
 
 
 Feature Support and API Coverage
@@ -36,16 +40,17 @@ Feature Support and API Coverage
 ======================================================================================================================================== ======= ========== ===========
  Supported Feature                                                                                                                        CPU     GPU        NPU
 ======================================================================================================================================== ======= ========== ===========
+ :doc:`Automatic Device Selection <../../openvino-workflow/running-inference/inference-devices-and-modes/auto-device-selection>`          Yes     Yes        Partial
  :doc:`Heterogeneous execution <../../openvino-workflow/running-inference/inference-devices-and-modes/hetero-execution>`                  Yes     Yes        No
- :doc:`(LEGACY) Multi-device execution <./../../documentation/legacy-features/multi-device>`                                              Yes     Yes        Partial
  :doc:`Automatic batching <../../openvino-workflow/running-inference/inference-devices-and-modes/automatic-batching>`                     No      Yes        No
  :doc:`Multi-stream execution <../../openvino-workflow/running-inference/optimize-inference/optimizing-throughput>`                       Yes     Yes        No
- :doc:`Models caching <../../openvino-workflow/running-inference/optimize-inference/optimizing-latency/model-caching-overview>`           Yes     Partial    Yes
+ :doc:`Model caching <../../openvino-workflow/running-inference/optimize-inference/optimizing-latency/model-caching-overview>`            Yes     Partial    Yes
  :doc:`Dynamic shapes <../../openvino-workflow/running-inference/dynamic-shapes>`                                                         Yes     Partial    No
  :doc:`Import/Export <../../documentation/openvino-ecosystem>`                                                                            Yes     Yes        Yes
  :doc:`Preprocessing acceleration <../../openvino-workflow/running-inference/optimize-inference/optimize-preprocessing>`                  Yes     Yes        No
  :doc:`Stateful models <../../openvino-workflow/running-inference/stateful-models>`                                                       Yes     Yes        Yes
  :doc:`Extensibility <../../documentation/openvino-extensibility>`                                                                        Yes     Yes        No
+ :doc:`(LEGACY) Multi-device execution <./../../documentation/legacy-features/multi-device>`                                              Yes     Yes        Partial
 ======================================================================================================================================== ======= ========== ===========
 
 
@@ -80,10 +85,10 @@ topic (step 3 "Configure input and output").
 
 .. note::
 
-   With OpenVINO 2024.0 release, support for GNA has been discontinued. To keep using it
+   With the OpenVINO 2024.0 release, support for GNA has been discontinued. To keep using it
    in your solutions, revert to the 2023.3 (LTS) version.
 
-   With OpenVINO™ 2023.0 release, support has been cancelled for:
+   With the OpenVINO™ 2023.0 release, support has been cancelled for:
    - Intel® Neural Compute Stick 2 powered by the Intel® Movidius™ Myriad™ X
    - Intel® Vision Accelerator Design with Intel® Movidius™
 

docs/articles_en/about-openvino/compatibility-and-support/supported-operations-framework-frontend.rst docs/articles_en/about-openvino/compatibility-and-support/supported-operations.rst

@@ -7,7 +7,7 @@ Supported Operations
 
 Here, you will find comprehensive information on operations supported by OpenVINO. The
 conformance reports provide operation coverage for inference devices, while the tables list
-operations available for all OpenVINO Framework Frontends.
+operations available for all OpenVINO framework frontends.
 
 **Device-operation conformance reports:**
 

docs/articles_en/documentation/legacy-features/transition-legacy-conversion-api/legacy-conversion-api/[legacy]-model-optimizer-faq.rst

@@ -81,7 +81,7 @@ Q3. What does the message "[ ERROR ]: Unable to create ports for node with id" m
 
 **A:** Most likely, Model Optimizer does not know how to infer output shapes of some layers in the given topology.
 To lessen the scope, compile the list of layers that are custom for Model Optimizer: present in the topology,
-absent in the :doc:`list of supported operations <../../../../about-openvino/compatibility-and-support/supported-operations-framework-frontend>` for the target framework.
+absent in the :doc:`list of supported operations <../../../../about-openvino/compatibility-and-support/supported-operations>` for the target framework.
 Then, refer to available options in the corresponding section in the  :doc:`[Legacy] Custom Layers in Model Optimizer <../legacy-model-optimizer-extensibility>` page.
 
 .. _question-7:

docs/articles_en/documentation/legacy-features/transition-legacy-conversion-api/legacy-conversion-api/[legacy]-supported-model-formats/[legacy]-convert-onnx.rst

@@ -58,7 +58,7 @@ There are no ONNX-specific parameters, so only framework-agnostic parameters are
 Supported ONNX Layers
 #####################
 
-For the list of supported standard layers, refer to the :doc:`Supported Operations <../../../../../about-openvino/compatibility-and-support/supported-operations-framework-frontend>` page.
+For the list of supported standard layers, refer to the :doc:`Supported Operations <../../../../../about-openvino/compatibility-and-support/supported-operations>` page.
 
 Additional Resources
 ####################

docs/articles_en/documentation/legacy-features/transition-legacy-conversion-api/legacy-conversion-api/[legacy]-supported-model-formats/[legacy]-convert-paddle.rst

@@ -126,7 +126,7 @@ When you convert certain PaddlePaddle models, you may need to set the ``example_
 Supported PaddlePaddle Layers
 #############################
 
-For the list of supported standard layers, refer to the :doc:`Supported Operations <../../../../../about-openvino/compatibility-and-support/supported-operations-framework-frontend>` page.
+For the list of supported standard layers, refer to the :doc:`Supported Operations <../../../../../about-openvino/compatibility-and-support/supported-operations>` page.
 
 Frequently Asked Questions (FAQ)
 ################################

docs/articles_en/documentation/legacy-features/transition-legacy-conversion-api/legacy-conversion-api/[legacy]-supported-model-formats/[legacy]-convert-tensorflow-lite.rst

@@ -5,7 +5,7 @@
 
 
 .. meta::
-   :description: Learn how to convert a model from a 
+   :description: Learn how to convert a model from a
                  TensorFlow Lite format to the OpenVINO Intermediate Representation.
 
 .. danger::
@@ -29,7 +29,7 @@ TensorFlow Lite models are supported via FrontEnd API. You may skip conversion t
 Supported TensorFlow Lite Layers
 ###################################
 
-For the list of supported standard layers, refer to the :doc:`Supported Operations <../../../../../about-openvino/compatibility-and-support/supported-operations-framework-frontend>` page.
+For the list of supported standard layers, refer to the :doc:`Supported Operations <../../../../../about-openvino/compatibility-and-support/supported-operations>` page.
 
 Supported TensorFlow Lite Models
 ###################################

docs/articles_en/documentation/legacy-features/transition-legacy-conversion-api/legacy-conversion-api/[legacy]-supported-model-formats/[legacy]-convert-tensorflow.rst

@@ -333,7 +333,7 @@ Model conversion API supports passing TensorFlow/TensorFlow2 models directly fro
 Supported TensorFlow and TensorFlow 2 Keras Layers
 ##################################################
 
-For the list of supported standard layers, refer to the :doc:`Supported Operations <../../../../../about-openvino/compatibility-and-support/supported-operations-framework-frontend>` page.
+For the list of supported standard layers, refer to the :doc:`Supported Operations <../../../../../about-openvino/compatibility-and-support/supported-operations>` page.
 
 Frequently Asked Questions (FAQ)
 ################################

docs/articles_en/documentation/openvino-extensibility.rst

@@ -27,7 +27,7 @@ OpenVINO Extensibility Mechanism
 
 The Intel® Distribution of OpenVINO™ toolkit supports neural-network models trained with various frameworks, including
 TensorFlow, PyTorch, ONNX, TensorFlow Lite, and PaddlePaddle. The list of supported operations is different for each of the supported frameworks.
-To see the operations supported by your framework, refer to :doc:`Supported Framework Operations <../about-openvino/compatibility-and-support/supported-operations-framework-frontend>`.
+To see the operations supported by your framework, refer to :doc:`Supported Framework Operations <../about-openvino/compatibility-and-support/supported-operations>`.
 
 Custom operations, which are not included in the list, are not recognized by OpenVINO out-of-the-box. The need for custom operation may appear in two cases:
 

docs/articles_en/openvino-workflow/model-preparation/convert-model-onnx.rst

@@ -1,5 +1,3 @@
-.. {#openvino_docs_OV_Converter_UG_prepare_model_convert_model_Convert_Model_From_ONNX}
-
 Converting an ONNX Model
 ========================
 
@@ -63,10 +61,13 @@ OpenVINO model conversion API supports ONNX models with external data representa
 Supported ONNX Layers
 #####################
 
-For the list of supported standard layers, refer to the :doc:`Supported Operations <../../about-openvino/compatibility-and-support/supported-operations-framework-frontend>` page.
+For the list of supported standard layers, refer to the
+:doc:`Supported Operations <../../about-openvino/compatibility-and-support/supported-operations>`
+page.
 
 Additional Resources
 ####################
 
-Check out more examples of model conversion in :doc:`interactive Python tutorials <../../learn-openvino/interactive-tutorials-python>`.
+Check out more examples of model conversion in
+:doc:`interactive Python tutorials <../../learn-openvino/interactive-tutorials-python>`.
 

docs/articles_en/openvino-workflow/model-preparation/convert-model-paddle.rst

@@ -1,5 +1,3 @@
-.. {#openvino_docs_OV_Converter_UG_prepare_model_convert_model_Convert_Model_From_Paddle}
-
 Converting a PaddlePaddle Model
 ===============================
 
@@ -153,11 +151,14 @@ Some PaddlePaddle models may require setting ``example_input`` or ``output`` for
 Supported PaddlePaddle Layers
 #############################
 
-For the list of supported standard layers, refer to the :doc:`Supported Operations <../../about-openvino/compatibility-and-support/supported-operations-framework-frontend>` page.
+For the list of supported standard layers, refer to the
+:doc:`Supported Operations <../../about-openvino/compatibility-and-support/supported-operations>`
+page.
 
 
 Additional Resources
 ####################
 
-Check out more examples of model conversion in :doc:`interactive Python tutorials <../../learn-openvino/interactive-tutorials-python>`.
+Check out more examples of model conversion in
+:doc:`interactive Python tutorials <../../learn-openvino/interactive-tutorials-python>`.
 

docs/articles_en/openvino-workflow/model-preparation/convert-model-tensorflow-lite.rst

@@ -1,5 +1,3 @@
-.. {#convert-model-tensorflow_Lite}
-
 Converting a TensorFlow Lite Model
 ==================================
 
@@ -44,7 +42,7 @@ Supported TensorFlow Lite Layers
 ###################################
 
 For the list of supported standard layers, refer to the
-:doc:`Supported Operations <../../about-openvino/compatibility-and-support/supported-operations-framework-frontend>`
+:doc:`Supported Operations <../../about-openvino/compatibility-and-support/supported-operations>`
 page.
 
 Supported TensorFlow Lite Models

docs/articles_en/openvino-workflow/model-preparation/convert-model-tensorflow.rst

@@ -1,5 +1,3 @@
-.. {#openvino_docs_OV_Converter_UG_prepare_model_convert_model_Convert_Model_From_TensorFlow}
-
 Converting a TensorFlow Model
 =============================
 
@@ -38,9 +36,9 @@ or `Hugging Face <https://huggingface.co/models>`__.
 
 .. note::
 
-   Examples below that convert TensorFlow models from a file, do not require any version
-   of TensorFlow to be installed on the system, except in cases when the ``tensorflow``
-   module is imported explicitly.
+   The examples converting TensorFlow models from a file do not require any version
+   of TensorFlow installed on the system, unless the ``tensorflow`` module is imported
+   explicitly.
 
 Converting TensorFlow 2 Models
 ##############################
@@ -385,15 +383,7 @@ Supported TensorFlow and TensorFlow 2 Keras Layers
 ##################################################
 
 For the list of supported standard layers, refer to the
-:doc:`Supported Operations <../../about-openvino/compatibility-and-support/supported-operations-framework-frontend>`
+:doc:`Supported Operations <../../about-openvino/compatibility-and-support/supported-operations>`
 page.
 
-Summary
-#######
-
-In this document, you learned:
-
-* Basic information about how the model conversion API works with TensorFlow models.
-* Which TensorFlow models are supported.
-* How to freeze a TensorFlow model.