* [Stress] Support OMZ model_info.py in get_testdata.py
* [Stress] Copy IRs from OMZ models folder to IRs folder
* [Stress] Support modified configs in C++ tests
* [Stress] Deprecate support of --env_conf due refactoring of configs
* [Stress] Update configs:
1. Removed env configs due deprecation
2. Moved test configs to a new format
* [Stress] Extend MemCheck records with info from test config
* Specify, review and approve operation Proposal-4
* added types section and some other corrections
* Added example of Proposal-4 without reductions
* Corrected information about input tensors
* removed 'logits' from specification, added information about shapes
* removed `for_deformable` attribute
* changed `batch_size` to 7
* updated output dimension
* Remove unnnecessary ir_version checks in the MO
* Cleaned up 'backend_attrs_v2' function
* Small clean up from the 'TFCustomSubgraphCall'
* Clean up the MO extractor attributes mapping
* Renamed PreluOp to PReLU
* [ci-skip][IE Myriad] ie::ICore pointer passed into FrontEnd from plugin
* [ci-skip][IE Myriad] Added MockICore to fix graph transformer tests
* [ci-skip][IE Myriad] IN renamed to I_N to avoid compile error in Windows build: C2513: 'int': no variable declared before '='
* Add default implementation that throws exception.
* Implement `createROI` for `TBlob` and existing compound blobs.
* Use reference couting for TBlob memory buffer to prolong its life time for ROI blobs.
* Add private extension for ND ROI and use it as implementation detail for now:
* Add `DimSlice` and `TensorSlice` structures for generic ND ROI support.
* Add `make_roi_desc` function to create `TensorDesc` for ROI.
* Removed legacy library includes from plugin api headers
* Removed IInferencePluginAPI interface; merged with IInferencePlugin
* Removed pluginAPIInterface usage in Core implementation
* First variant of tests for keep_constant_inputs
* Redone tests to check number of inputs
* Count inputs of layer via ngraph::Function
* Add additional transformations for CNNNetwork
* Modified work with CNNNetwork via iterators
* Add tests for FullyConnected Network
* Rename function for counting of inputs
* Debug output was deleted
* transformations_callback was removed
* Change ASSERT_GT on ASSERT_EQ
This PR introduces next changes:
1. Transformations *_tbl.hpp files were replaced with direct registration in cpp files.
2. Plugins use pass::Manager to call conversion passes.
3. Transformations callback was moved to PassBase class as there is no more need to keep it in separate class
4. All pattern based transformations must be inherited from MatcherPass class. GraphRewrite class will be used only for matchers registration and execution on function.
MatcherPass class adds new features to pattern-based transformations approach:
* Allows to run matcher pass on a single node.
* Operations that were created inside transformation callback can be added to execution list to be available for pattern matching within single GraphRewrite.
5. GraphRewrite MatchClosure was replaced with MatcherPass. So all matchers will be registered as a MatcherPass.
6. Added pass::Manager::clear_state() method to avoid dependency with nodes that no longer belongs to function after replacement.
7. Some representative transformations were updated to use MatcherPass as an example.
8. Mul->Add sequence fusion transformation was replaced with LinOpSequenceFusion.
9. Pattern and callback registration code was moved to class c-tors (will be finished for remaining passes in other PR) .
10. Updated pass::Manager to get pass names only when NGRAPH_PROFILE_PASS_ENABLE enabled.
11. Moving towards removing PassProperty.
12. Added ngraph::pattern::wrap_type<T>(inputs, pred) to simplify pattern creation.
13. GraphRewrite was updated to execute MatcherPass more efficient.
