* Move split utility functions into core builder.

* Move activation functions to nGraph core.

* RNN cell base class.

* LSTM cell fused operator.

* Update LSTM ONNX operator to use LSTMCell fused op.

* Use Constant::create instead of make_constant.

* Remove ngraph:: prefixes and include standard headers.

* Store member shared_ptrs as object.

* Formatting.

* Run validation at the end of constructor.

* Add more doc to ActivationFunction.

* Run FusedOpDecomposition pass two times in interpreter backend.

* Remove unnecesary class member.

* Add node validation.

* Disambiguate constructors.

* Add type property test.

* Formatting and add comment with equations.

* Update IGPU backend with LSTMCell fused op.

* Fix: clip activation function input.

* Unit tests.

* Workaround for nested fused op: run FusedOpDecomposition twice.

* Fix compilation on CentOS and on GPU.

* PR feedback.

* Fix CentOS bugs.

* Address review comments.

Remove stored inputs as class members. Use node inputs directly in
decomposition.

* Fix errors.

* Review feedback: don't use decompose_op while generating Function in UTs.

* Fix merge artifacts.

* Move RNNCellBase to op/util directory.

* Fix typo for avg_pool setter method.

* Set default values for optional inputs.

* Fix typo in comment.

Fix corner case where op::Constant ctor is called with a zero-element shape and a vector of one string (#3082)

* Adding GroupConvTranspose fused operator.

* Add missing header and remove commented code.

* Remove unused variable.

* Add a few more convieniece constructors.

* Add more type prop UTs.

* Remove unused post validation functions.

* Style apply.

* Fix conversion of vector to CoordinateDiff

* Add GroupConvolutionTranspose to intel gpu backend.

* Add documentation.

* Use default (python-like) divide.

* Added missing attribute to Result serialization

* Fix default layout attribute

* use helper routine for optional attrs

* Initial implementation of the Shrink op

* Multiply the values by the correct masks

* Basic test case for Shrink with floats

* Shrink test on integers

* Code formatting

* Shrink documentation and typo fix

* Rephrase the Shrink docs

* Out of <memory> ;)

* Add DynElimination for Broadcast

* Change silent bailouts for invalid shape/ETs to NGRAPH_CHECKs

* Correct the dockerfile name and the way to pass multiple env vars to a container

* Docs fix

* Typo fix

* Add execution tests for dynamic reduction ops; fix validation logic

* Add dynamic_GPU.all to manifest

* Be explicit about the dynamic_GPU prefix in manifest

* Initial implementation

* Added test case

* Bug fix; Dropout with 2 outputs, WIP

* Fixed in unit-testl; WIP for model

* Nothing is working

* Revert "Nothing is working"

This reverts commit d3ff09bb7a0d0519ab70ac85f2e7f30721afea96.

* Fixed unit-test; fusion with 2 outputs

* Fix style check, file permissions

* Changed input arg to Node

* Fix order of declaration

* Improved performance

* some cleanup

* Fixed CI error

* Fixed review comments

* Fix CI error

* Remove unused variable

* Fix other CI errors

* Changed type

* Fix style check

* Add codegen code for Dropout

* addressed PR feedback; will add codegen support later

* Cleanup; change variable name

* Support for use_seed

* Add setter for use_seed

* Add setter for use_seed

* Fix CI error

* Make use_seed as arg

* Fix CI error

* Fix CI error

* Simple DynElimination test (not passing yet)

* Implement DynElimination for DynSlice; simple test passing, but more needed

* Add test generator for DynSlice

* Add more tests (one not passing)

* Rename update_reference.sh to update_convolution_reference.sh, to (hopefully) reduce confusion

* Comment edits

* Fix a couple more bugs, add a bunch of unit tests

* A few more tests for the negative-stride slicing issue that's worrying me.

* Refactor dyn slice test to improve compile time

* Update comment

* Further test refactoring: generate separate tests rather than one big one

* More element type coverage because hey why not

* Add more tests, per review comments

* Copy friendly name when copying node

* add unit test

* style

* wip

* hybrid as a static backend and not part of ngraph

* only for linux

* fix link problem

* style

* remove hybrid

* fix compile error

* Change reduction operations to 2-input dynamic variants with convenience constructors for cases where reduction AxisSet is known at op construction time

* Modify rest of arithmetic and logical reduction ops to 2-input dynamic variants. Some fixes to existing passes to keep constant reduction axes inputs intact

* add new All tests to GPU manifest