DOCS: ported changes from 2022.1 release branch (#11206)

* Extensibility guide with FE extensions and remove OV_FRAMEWORK_MAP from docs

* Rework of Extensibility Intro, adopted examples to missing OPENVINO_FRAMEWORK_MAP

* Removed OPENVINO_FRAMEWORK_MAP reference

* Frontend extension detailed documentation

* Fixed distributed snippets

* Fixed snippet inclusion in FE extension document and chapter headers

* Fixed wrong name in a snippet reference

* Fixed test for template extension due to changed number of loaded extensions

* Update docs/Extensibility_UG/frontend_extensions.md

Co-authored-by: Ivan Tikhonov <ivan.tikhonov@intel.com>

* Minor fixes in extension snippets

* Small grammar fix

Co-authored-by: Ivan Tikhonov <ivan.tikhonov@intel.com>

Co-authored-by: Ivan Tikhonov <ivan.tikhonov@intel.com>

* DOCS: transition banner (#10973)

* transition banner

* minor fix

* update transition banner

* updates

* update custom.js

* updates

* updates

* Documentation fixes (#11044)

* Benchmark app usage

* Fixed link to the devices

* More fixes

* Update docs/OV_Runtime_UG/multi_device.md

Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>

* Removed several hardcoded links

Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>

* Updated documentation for compile_tool (#11049)

* Added deployment guide (#11060)

* Added deployment guide

* Added local distribution

* Updates

* Fixed more indentations

* Removed obsolete code snippets (#11061)

* Removed obsolete code snippets

* NCC style

* Fixed NCC for BA

* Add a troubleshooting issue for PRC installation (#11074)

* updates

* adding gna to linux

* add missing reference

* update

* Update docs/install_guides/installing-model-dev-tools.md

Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>

* Update docs/install_guides/installing-model-dev-tools.md

Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>

* Update docs/install_guides/installing-model-dev-tools.md

Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>

* Update docs/install_guides/installing-model-dev-tools.md

Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>

* Update docs/install_guides/installing-model-dev-tools.md

Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>

* update

* minor updates

* add gna item to yum and apt

* add gna to get started page

* update reference formatting

* merge commit

* add a troubleshooting issue

* update

* update

* fix CVS-71846

Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>

* DOCS: fixed hardcoded links  (#11100)

* Fixes

* Use links

* applying reviewers comments to the Opt Guide (#11093)

* applying reviewrs comments

* fixed refs, more structuring (bold, bullets, etc)

* refactoring tput/latency sections

* next iteration (mostly latency), also brushed the auto-batching and other sections

* updates sync/async images

* common opts brushed

* WIP tput redesigned

* minor brushing of common and auto-batching

* Tput fully refactored

* fixed doc name in the link

* moved int8 perf counters to the right section

* fixed links

* fixed broken quotes

* fixed more links

* add ref to the internals to the TOC

* Added a note on the batch size

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* [80085] New images for docs (#11114)

* change doc structure

* fix manager tools

* fix manager tools 3 step

* fix manager tools 3 step

* new img

* new img for OV Runtime

* fix steps

* steps

* fix intendents

* change list

* fix space

* fix space

* code snippets fix

* change display

* Benchmarks 2022 1 (#11130)

* Minor fixes

* Updates for 2022.1

* Edits according to the review

* Edits according to review comments

* Edits according to review comments

* Edits according to review comments

* Fixed table

* Edits according to review comments

* Removed config for Intel® Core™ i7-11850HE

* Removed forward-tacotron-duration-prediction-241 graph

* Added resnet-18-pytorch

* Add info about Docker images in Deployment guide (#11136)

* Renamed user guides (#11137)

* fix screenshot (#11140)

* More conservative recommendations on dynamic shapes usage in docs (#11161)

* More conservative recommendations about using dynamic shapes

* Duplicated statement from C++ part to Python part of reshape doc (no semantical changes)

* Update ShapeInference.md (#11168)

* Benchmarks 2022 1 updates (#11180)

* Updated graphs

* Quick fix for TODO in Dynamic Shapes article

* Anchor link fixes

* Fixed DM config (#11199)

* DOCS: doxy sphinxtabs (#11027)

* initial implementation of doxy sphinxtabs

* fixes

* fixes

* fixes

* fixes

* fixes

* WA for ignored visibility attribute

* Fixes

Co-authored-by: Sergey Lyalin <sergey.lyalin@intel.com>
Co-authored-by: Ivan Tikhonov <ivan.tikhonov@intel.com>
Co-authored-by: Nikolay Tyukaev <nikolay.tyukaev@intel.com>
Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>
Co-authored-by: Yuan Xu <yuan1.xu@intel.com>
Co-authored-by: Maxim Shevtsov <maxim.y.shevtsov@intel.com>
Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
Co-authored-by: Ilya Naumov <ilya.naumov@intel.com>
Co-authored-by: Evgenya Stepyreva <evgenya.stepyreva@intel.com>

docs/get_started/get_started_demos.md

@@ -11,8 +11,6 @@ You will perform the following steps:
 4. <a href="run-image-classification">Run inference on the sample and see the results:</a>
     - <a href="run-image-classification">Image Classification Code Sample</a>
 
-If you installed OpenVINO™ via `pip` you can quickly getting started with the product by using these [tutorials](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks).
-
 This guide assumes you completed all installation and configuration steps. If you have not yet installed and configured the toolkit:
 
 @sphinxdirective
@@ -94,13 +92,13 @@ This guide uses the OpenVINO™ Model Downloader to get pre-trained models. You
 * List the models available in the downloader
 
 ``` sh
-   info_dumper --print_all
+   omz_info_dumper --print_all
 ```
 
 * Use `grep` to list models that have a specific name pattern
 
 ``` sh
-   info_dumper --print_all | grep <model_name>
+   omz_info_dumper --print_all | grep <model_name>
 ```
 
 * Use Model Downloader to download models.
@@ -244,7 +242,7 @@ Create an `<ir_dir>` directory to contain the model's Intermediate Representatio
 
 @endsphinxdirective
 
-The OpenVINO Runtime can perform inference on different precision formats, such as FP32, FP16, or INT8. To generate an IR with a specific precision, run the Model Optimizer with the appropriate `--data_type` option.
+The OpenVINO Runtime can infer models where floating-point weights are [compressed to FP16](../MO_DG/prepare_model/FP16_Compression.md). To generate an IR with a specific precision, run the Model Optimizer with the appropriate `--data_type` option.
 
 Generic Model Optimizer script:
 
@@ -370,7 +368,7 @@ To run the **Image Classification** code sample with an input image using the IR
 
 @endsphinxdirective
 
-The following commands run the Image Classification Code Sample using the [`dog.bmp`](https://storage.openvinotoolkit.org/data/test_data/images/224x224/dog.bmp) file as an input image, the model in IR format from the `ir` directory, and on different hardware devices:
+The following commands run the Image Classification Code Sample using the [dog.bmp](https://storage.openvinotoolkit.org/data/test_data/images/224x224/dog.bmp) file as an input image, the model in IR format from the `ir` directory, and on different hardware devices:
 
    **CPU:**  
 @sphinxdirective