* Updated MO extension guide
* Minor change and adding svg images
* Added additional information about operation extractors. Fixed links and markdown issues
* Added missing file with information about Caffe Python layers and image for MO transformations dependencies graph
* Added section with common graph transformations attributes and diagram with anchor transformations. Added list of available front phase transformations
* Added description of front-phase transformations except the scope-defined and points defined. Removed legacy document and examples for such transformations.
* Added sections about node name pattern defined front phase transformations. Copy-pasted the old one for the points defined front transformation
* Added description of the rest of front transformations and and all middle and back phase transformations
* Refactored Legacy_Mode_for_Caffe_Custom_Layers and updated the Customize_Model_Optimizer with information about extractors order
* Added TOC for the MO Dev guide document and updated SVG images with PNG ones
* Fixed broken link. Removed redundant image
* Fixed broken links
* Added information about attributes 'run_not_recursively', 'force_clean_up' and 'force_shape_inference' of the transformation
* Code review comments
* Added a section about `Port`s
* Extended Ports description with examples
* Added information about Connections
* Updated MO README.md and removed a lot of redundant and misleading information
* Updates to the Customize_Model_Optimizer.md
* More updates to the Customize_Model_Optimizer.md
* Final updates for the Customize_Model_Optimizer.md
* Fixed some broken links
* More fixed links
* Refactored Custom Layers Guide: removed legacy and incorrect text, added up-to-date.
* Draft implementation of the Custom layer guide example for the MO part
* Fixed broken links using #. Change layer->operation in extensibility documents
* Updated Custom operation guide with IE part
* Fixed broken links and minor updates to the Custom Operations Guide
* Updating links
* Layer->Operation
* Added links to MO and Benchmark App
* Changed wording
* Fixes a link
* fixed a link
* Changed the wording
* Links to WB
* Changed wording
* Changed wording
* Fixes
* Changes the wording
* Minor corrections
* Removed an extra point
* cherry-pick
* Added the doc
* More instructions and images
* Added slide
* Borders for screenshots
* fixes
* Fixes
* Added link to Benchmark app
* Replaced the image
* tiny fix
* tiny fix
* Fixed a typo
Introduce vpu ngraph transformation that decomposes Mish layer with the following formula: mish(x) = x * tanh(ln(exp(x) + 1)). It is needed to fix the accuracy drop of Yolo-v4 public model that happened due to Mish implementation in the myriad plugin is not accurate enough. It is just a workaround and will be removed when Mish layer will be improved.
map: 70.97% (ref: 70.96%)
coco_precision: 73.50% (ref 73.49%)
Unconditional Eltwise+ReLU merge makes some models take a bit more memory,
so they could not be inferred on Myriad-X. With this change used can
optionally disable this optimization and use Myriad-X.
* Add new model to `tgl_test_config.yml` (#3236)
* Fix wrong path for `yolo-v2-tiny-ava-0001` for time_tests
* Add several new models to `tgl_test_config.yml` in time_tests
* install_NEO_OCL_driver: Added new CLI options. Added help. Added new available to download and install driver - 20.35.17767
* install_NEO_OCL_driver: Fixed descriptions and var names
* install_NEO_OCL_driver: Updated syntax
