[DOCS] add vpu disclaimer (#16948)

docs/Extensibility_UG/VPU_Extensibility.md

@@ -1,5 +1,10 @@
 # How to Implement Custom Layers for VPU (Intel® Neural Compute Stick 2) {#openvino_docs_Extensibility_UG_VPU_Kernel}
 
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
 To enable operations not supported by OpenVINO™ out of the box, you need a custom extension for Model Optimizer, a custom nGraph operation set, and a custom kernel for the device you will target. This page describes custom kernel support for one the VPU, the Intel® Neural Compute Stick 2 device, which uses the MYRIAD device plugin.
 
 > **NOTE:**

docs/OV_Runtime_UG/deployment/deployment-manager-tool.md

@@ -14,6 +14,12 @@ To use the Deployment Manager tool, the following requirements need to be met:
    * **For VPU**, see [Configurations for Intel® Vision Accelerator Design with Intel® Movidius™ VPUs](../../install_guides/configurations-for-ivad-vpu.md).
    * **For GNA**, see [Intel® Gaussian & Neural Accelerator (GNA)](../../install_guides/configurations-for-intel-gna.md)
 
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
+
 > **IMPORTANT**: The operating system on the target system must be the same as the development system on which you are creating the package. For example, if the target system is Ubuntu 18.04, the deployment package must be created from the OpenVINO™ toolkit installed on Ubuntu 18.04.
 
 > **TIP**: If your application requires additional dependencies, including the Microsoft Visual C++ Redistributable, use the ['--user_data' option](https://docs.openvino.ai/latest/openvino_docs_install_guides_deployment_manager_tool.html#run-standard-cli-mode) to add them to the deployment archive. Install these dependencies on the target host before running inference.

docs/OV_Runtime_UG/supported_plugins/MYRIAD.md

@@ -1,6 +1,12 @@
 # MYRIAD Device {#openvino_docs_OV_UG_supported_plugins_MYRIAD}
 
 
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
+
 The OpenVINO Runtime MYRIAD plugin has been developed for inference of neural networks on Intel® Neural Compute Stick 2.
 
 ## Configuring the MYRIAD Plugin

docs/OV_Runtime_UG/supported_plugins/Supported_Devices.md

@@ -18,6 +18,12 @@ The OpenVINO Runtime provides unique capabilities to infer deep learning models
 |[Auto-Device plugin](../auto_device_selection.md) |Auto-Device plugin enables selecting Intel® device for inference automatically |
 |[Heterogeneous plugin](../hetero_execution.md) |Heterogeneous execution enables automatic inference splitting between several devices (for example if a device doesn't [support certain operation](#supported-layers)).                                                           |
 
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
+
 > **NOTE**: ARM® CPU plugin is a community-level add-on to OpenVINO™. Intel® welcomes community participation in the OpenVINO™ ecosystem, technical questions and code contributions on community forums. However, this component has not undergone full release validation or qualification from Intel®, hence no official support is offered. 
 
 Devices similar to the ones we have used for benchmarking can be accessed using [Intel® DevCloud for the Edge](https://devcloud.intel.com/edge/), a remote development environment with access to Intel® hardware and the latest versions of the Intel® Distribution of the OpenVINO™ Toolkit. [Learn more](https://devcloud.intel.com/edge/get_started/devcloud/) or [Register here](https://inteliot.force.com/DevcloudForEdge/s/).

docs/OV_Runtime_UG/supported_plugins/VPU.md

@@ -11,6 +11,13 @@
     
 @endsphinxdirective
 
+
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
+
 This chapter provides information on the OpenVINO™ Runtime plugins that enable inference of deep learning models on the supported VPU devices:
 
 * Intel® Neural Compute Stick 2 powered by the Intel® Movidius™ Myriad™ X — Supported by the [MYRIAD Plugin](MYRIAD.md)

docs/get_started/get_started_demos.md

@@ -378,6 +378,11 @@ The following two examples show how to run the same sample using GPU or MYRIAD a
 
 #### Running Inference on MYRIAD
 
+   > **warning:**
+   > OpenVINO 2022.3, temporarily, does not support the VPU devices.
+   > The feature will be re-implemented with the next update. Until then, 
+   > continue using a previous release of OpenVINO, if you work with VPUs.
+
    > **NOTE**: Running inference on VPU devices (Intel® Movidius™ Neural Compute Stick or Intel® Neural Compute Stick 2) with the MYRIAD plugin requires [additional hardware configuration steps](../install_guides/configurations-for-ncs2.md), as described earlier on this page.
 
 @sphinxdirective

docs/install_guides/configurations-for-iei-card.md

@@ -1,5 +1,10 @@
 # Configurations for IEI Mustang-V100-MX8-R10 Card {#openvino_docs_install_guides_movidius_setup_guide}
 
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
 @sphinxdirective
 
 .. note:: These steps are only required for **IEI Mustang-V100-MX8-R10** card. **IEI Mustang-V100-MX8-R11** card doesn't require any additional steps and it's completely configured using the :doc:`general guidance <openvino_docs_install_guides_installing_openvino_ivad_vpu>`

docs/install_guides/configurations-for-ivad-vpu.md

@@ -1,5 +1,12 @@
 # Configurations for Intel® Vision Accelerator Design with Intel® Movidius™ VPUs  {#openvino_docs_install_guides_installing_openvino_ivad_vpu}
 
+
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
+
 @sphinxdirective
 
 .. _vpu guide:

docs/install_guides/configurations-for-ncs2.md

@@ -41,6 +41,12 @@ You've completed all required configuration steps to perform inference on Intel
 
 ## macOS
 
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
+
 These steps are required only if you want to perform inference on Intel® Neural Compute Stick 2 powered by the Intel® Movidius™ Myriad™ X VPU.
 
 To perform inference on Intel® Neural Compute Stick 2, the `libusb` library is required. You can build it from the [source code](https://github.com/libusb/libusb) or install using the macOS package manager you prefer: [Homebrew](https://brew.sh/), [MacPorts](https://www.macports.org/) or other.

docs/install_guides/installing-openvino-overview.md

@@ -20,6 +20,12 @@ Intel® Distribution of OpenVINO™ Toolkit is a comprehensive toolkit for devel
 * Speeds time-to-market via an easy-to-use library of computer vision functions and pre-optimized kernels.
 * Compatible with models from a wide variety of frameworks, including TensorFlow, PyTorch, PaddlePaddle, ONNX, and more.
 
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
+
 
 ## Install OpenVINO
 

docs/install_guides/installing-openvino-yocto.md

@@ -65,6 +65,13 @@ Follow the [Yocto Project official documentation](https://docs.yoctoproject.org/
    CORE_IMAGE_EXTRA_INSTALL:append = " openvino-model-optimizer"
    ```
 
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
+
+
 ## Step 2: Build a Yocto Image with OpenVINO Packages
 
 Run BitBake to build your image with OpenVINO packages. For example, to build the minimal image, run the following command:

docs/install_guides/troubleshooting-issues.md

@@ -46,6 +46,11 @@ Try one of these solutions:
 
 <!-- this part was taken from original configurations-for-ivad-vpu.md -->
 
+> **warning:**
+> OpenVINO 2022.3, temporarily, does not support the VPU devices.
+> The feature will be re-implemented with the next update. Until then, 
+> continue using a previous release of OpenVINO, if you work with VPUs.
+
 ### Unable to run inference with the MYRIAD Plugin after running with the HDDL Plugin
 
 Running inference with the MYRIAD Plugin after running with the HDDL Plugin is failed with the following error generated: