* [ONNX] Add eyelike operator

* Use shifted square identity in square identity

* Make new helper function to map onnx_types<->ngraph_types

* Add fp16 support to ngraph Python API

* Move helper common.hpp => common.cpp

* Add checker for attribute presence

* Style check

* Add definition of shifted word

* Change return value of attribute presence !(==) -> !=

* Rename is_attribute_present => has_attribute

* Clean-up headers in eyelike.cpp

* Organize headers in common.*pp

* Minor review fixes

* Style check

* Add test for EyeLike with negative k

* Disable caching when node has state.

* Address PR feedback: move has_state to Node.

* Address PR feedback.

* Fix style error.

* More serialization preparation for iteration ops

* const arg

* const json& leads to memory issues

* Run fused op decomposition recursively until no more fused ops.

* Update callback member name.

* Eliminate wrapped enum
Switch allreduce to new op form

* review comments

* review comments

* typo

* Add provenance tag support

* Added support to clone the provenance tags to the clone nodes

* Style fix

* Addressed comments

* Guarded the provenance code properly

* Added missing header file

* style

* initial implementation of backend config

* check on backend that does not support config

* Use node IDs for comparison when sorting in pattern match.

* Make args const.

* [ONNX] Add support for onnx MeanVarianceNormalization op

* Fix docstring

* Delete commented code

* Add support for legacy onnx MVN version

* Fix a typo in attribute name

* Fix for legacy onnx MVN

* Add a header for int64_t

* Add 'Range' op with type prop tests (no DynElimination yet)

* Implement DynElimination for Range

* Add bailouts for GPU and INTELGPU backends

* Add some execution tests

* Add missing include for GPU

* Add /bigobj flag for MSVS on unit-test

* WIP more guides and tutorials for the docs

* Update Guides and structure

* Update Guides and structure

+ Test documentation build on Clear Linux OS;
+ Fix a few links and redirs.
+ Note rc-naming conventions in doc may be tag-generalized.

* documentation supports various rc-naming conventions

* Add instructions on building nGraph bridge from src

* Update ngtf bridge versions to 0.14.1 and TensorFlow's bazel dependency to 0.24.1

* Use consistent file naming on all BE indexes

* Fix comma

* Templatize versioning for releases starting 0.20 and add placeholders for changes by components

* Remove typo

* Minor formatting fixed

* Document how to find or display built version of nGraph

* Start a r0.21 for doc that also fixes broken link and typo

* Correct use of console command context for version check

* Minor fixes to doc-contributor-README

* Docs for version 0.21

* Ensure docs build without error

* Assign ownership project README and intro for new ngraph.ai site to Straw

* Note deprecated Tensor API in doc

* Update to generic versioning on core doc for importing via built wheels

* Resolve merge conflicts leftover from v20 version request changes

* remove typo and suggested use of prebuilt LLVM since newer OSes do not have them available

* Update to latest

* Update with review from PR and ngraph bridge team

* Update right section with review from PR and ngraph bridge team

* Ensure doc example folders have owners from the component

* Push edit of tensorflow_connect to v0.22 docs

* Update Python wheel building instructions to newer version

* Added mode attributes to DynPad and TopK

* Rename sort_type to sort

* Throw error in pad reference implementation for symmetric mode

* Modify QuantizedConvolutionBias(Signed)Add fusion.

* Add unit test.

* Enable INTELGPU backend for python tests

* Skip the test_replace_slice on iGPU

RuntimeError: Unsupported op 'ReplaceSlice' in IntelGPU back end.

* Reformat a function to satisfy flake8

* Yet another code formatting correction

* Fix of the failing tests: test_unary_op_array & test_unary_op_scalar

* Parametrize the logical_not test with input_data

* Code formatting

* Whitespace removal because flake8

* make check_inputs check for input_count >= expected_input_count

* scrub unit test manifest after check_inputs change

* Enable Gather and ScatterAdd to use Eigen kernel for int8 type.

* Reduce number of supported ranks.

* Fix a bug.

* Serialize nodes by reference

* Most od deserialization

* deserialize node

* review comments

This gets all compile-time flag use into cpp files rather than headers. This does not work if it is in a header. (#3096)

* 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)