* Added test
* working ManagerWrapper
* Clean-up in ManagerWrapper
* worksave
* fixed building error
* Finished test of constant folding
* remove unused param
* Added get_vector function
* clean up
* RTTI base for ngraph::Node; cherry-pick from another branch, draft
* Added comments, moved code, switched to custom RTTI-based version of is_type
* Move rtti definitions in ngraph op class to the beginning of each class definition as a preparation for the next replacement
* Migrate part of operations to new RTTI
* Migrate GroupConvolution and Concat to new RTTI
* Apply code style for ngraph part
* Rename RTTI_DECLARATION/DEFINITION to NGRAPH_RTTI_DECLARATION/DEFINITION
* Reverted accidentally updated version of mkldnn
* TMP: rewrite RTTI back to constexprions as an attempt to fix static objects initialization order issue
* Apply ngraph code style
* Finalize move back to constexpr for RTTI
* Applied code-style
* TypeRelaxed template class implementation and necessary changes in ngraph + tests.
* Applied code-style
* Fix in fast algorithm in GraphRewrite, add new tests for this and other cases
* Make parent optional parameter for NGRAPH_RTTI_DECLARATION and remove Node::type_info; remove ability to have Node as a parent for type_info
* Try to resolve compilation error on Windows
* The next attempt to fix Windows build: re-introduce get_type_info_static
* Removed file that was removed in master and kept in this branch by mistake
* Next attempt to fix Windows build: externConstexpr
* Attempt to fix win build: extra public (suspect icc bug), remove get_type_info_static as useless.
* Next attempt to fix Windows: proxy const and constexpr
* Fixed constexpr
* Next attmpts: move get_type_info to cpp file
* Code stype fix
* Re-implemented RTTI without use of constexpr; run-time initialization is used; removed global definitions to avoid issues with order of static objects initialization
* Removed externConstexpr flag and removed TRANSFOMRATIONS_API for TypeRelaxed
* get_type_info_static initializes static local constant with type_info that is used for CLASS::type_info and CLASS::get_type_info
* Removed not needed debug output and useless comments
* Implemented better copy ctor for Node
* Fixed VisualizeTree issue for TypeRelaxed: stopped using < and > in type_info::name
* Better comments and names for methods
* Remove unused include
* Remove commented line
* Workaround for legacy conversion that uses Node::get_type_info().name as a type for the resulting CNNLayer leading to incorrect types for TypeRelaxed-based operations and then to fail in plugins
* Fixed typos, explicit ctor for TypeRelaxedBase, explanation for the need of get_overridden_output_type
* Fix typo
* Fixed issue with non-static name in type definition for TypeRelaxed and fixed WrapType to make it compatible with hierarchical relations between types
* Reverted default ctor for Output and reverted ability to reduce number of outputs for a Node; syntactically better debug message for a Node
* Cover methods of TypeRelaxedBase by tests
* Apply code-style
* Azure CI: Add Windows job with IncrediBuild
* Update IB version to 9.4.6
* Fix "Clone submodules"
* Update IB version to 9.5
* Update install link
* Add debug out
* Update debug out
* Remove debug out
* Disable initiator machine from acting as helpers
This change adds full support for asymmetric quantization to optimized
depthwise convolution, adds slm optimization and other minor
improvements.
Issue: CVS-25122
* unroll ti transformation, lstm sequence ie, rnn sequence ie
* Update unroll ti transformation, added GRUSequenceIE op, fixed several ti e2e tests
* apply ngraph codestyle
* fix naming after unroll transformation
* Added default constructor for RNNCellBase, fix conversions
* copy runtime info
* added UnrollTI unit tests
* clean up, move sequence ops in a separate PR
* clean up, ngraph code style
* temporary disable ngraph reader unit tests for ti
* fix unit tests on windows
* naming: use name of tensor after unroll tensor iteration transformation
* apply transformations to tensor iterator body, separate pass for ti transformations, fix naming issue
* fix build
* remove TensorIterationTransformations pass
* fix includes
* resolve conflicts
* fix build: incorrect includes
* remove split/concat for single iteration of TI, update to opset4, unit tests
* use matcher pass instead of graph rewrite
* try to enable UnrollTI transformation for all plugins
* disable unrollTI transformation for cpu plugin
* resolve review comments, enable unit tests
* update transformation description
* fix unit tests
* update transformation pipeline
* clean up
* clean up
* resolve review comments
* Separate MO configuration for TensorFlow 2 model conversion
Also, it updates documentation including steps to convert
TF2 model with a custom layer in Keras H5 format into SavedModel
* Do fixes based on the first-round code review
In one of the network it was the following pipeline:
```
FullyConnected -> Reshape -> FullyConnected
```
And the output of Reshape wasn't in the same order as input for this
layer. I found that the problem was connected with format of the layers.
During optimization passes this pipeline was transformed to the
following:
```
FullyConnected -> Reorder -> Reshape -> Reorder -> FullyConnected
```
Both `FullyConnected` layers works with `yxfb` format. This is why
Reorder layer after the Reshape has output layout with format `yxfb` and
`reshape_in_layout.format` returns `yxfb` format. But in this case we
have to convert Reshape to `bfyx` format because in this case we won't
change the order of elements.
I replaced `reshape_in_layout.format` (which returns `yxfb`) and
explicitly set `bfyx` format.
JIRA: 35288
