* Helper function converting ONNX auto_pad into nGraph PadType.

Separate auto_pad support from explicitly provided paddings.

* Add support for more PadType values for GroupConvolutionTranspose.

* Pass auto_pad attribute value to nGraph operator.

* Helper class for generating ONNX pooling operators.

* Pass auto pad type to nGraph Convolution operator.

* Use pooling factory.

* Helper function calculating pads taking into account auto_pad attribute.

* Fix attribute type in UT ONNX models.

* Take auto_pad attribute value into account.

* Rename helper function and update doc.

* Retain old API for GroupConvoloutionTranspose

* Remove PadType::INVALID and use other approach to validate auto_pad
value.

* Style apply.

* Fix clang err on documentation style.

* Refactor get_auto_pad method.

* Fix segfaults on CentOS 7.

When using const reference the node member m_attributes had invalid
data.

* Fix used operator for reversing input sequences in LSTM.

* Fix backward pass for bidirectional LSTM.

* UT for LSTM with sequence_lens shorter than input sequence size.

* Skip LSTM UT using ReverseSequence since it is not supported yet on
PlaidML.

* Maintain control_deps in replace_node
Add helpers for mainting control_deps in other ways
Fix compiler warning about shadowing a local

* Clone control dependencies

* Export symbol for Windows

* Callers of copy_with_new_args

* Need copy

* Need shared pointer

* GOE needed

* goe

* goe

* Need pointer

* Review comments

Fix a mismatch after changing get_inputs API.

* Start splitting type_prop.cpp (just a few for now, to get feedback on general pattern)

* Split out some more type_prop stuff

* A bunch more

* Move one test out of type_prop into build_graph

* Split Reverse from ReverseSequence (oops), and fix a typo I noticed in dyn_reshape.cpp

* fix EOF newline

* Style.

* Add newline at eof.

Wait until performance counter data is set to release function for CODEGEN.

*  Add Gelu OP.

* CPU backend: Enable Erf UTs

* Add UT.

* Address review comment.

First cut at async interface for backend tensor allocation and execution

Handle negative padding

* Stabilize node sorting and fix some bugs.

* Review comments

* Fix broken tests

* Implement traverse nodes with pointers

* Let sort gather nodes for get_ordered_ops

* Use stacks for stacks

* Keep control deps ordered

* Optimize subgraph sort

* Add unordered map over function ops

* Don't recheck children

* Use vectors in stacks, avoid std::list::size()

* use bash method for style on Linux and Apple because it is faster

* cleanup

* address PR review comment

* make scripts executable

Update unit_test.manifest

* Initial sub-graph extraction

* Works without detaching input edges from sub-graph

* Added removing input edges to graph

* Works with whole func sub-graphs. Inputs edges to sub-graph are still there

* Works on 2 exclusive sub-graphs. Still not on merged sub-graphs

* Revert removing inputs to sub-graph. nGraph validation crashes

* Added 3 sub-graph test. Remove compiled_kernel fusion pass. Comments

* Revert some changes

* Added cycle detection. Removed unit-tests to backend_mlir.in.cpp. Still not fully functional

* Construct CK nodes after finding outputs to preserve the graph.

* Fix topological sort. UTs pass.

* Minor fixes

* PR fixes

* Enable mlir tests only when building with MLIR on

* new debugger to trace real tensors in each kernel

* update after style-apply

* add unit test to debugger

* after style-apply

* templatize data + fixed issues from PR

* solve conflict

* change names of env flags + fixed typo + pass unit-test

* add different types to dump, change arch of debug class, add support to allow debug to be set programmatically (all requested changed fixed)

* add curly braces to single-line blocks

* fix shadow names + add int32 for dump + fix for names with coding standarts of ngraph

* fix names of member variables + delete some constructors

* try to find issue with CI, do not merge!

* fix one issue with CI

* fix style-apply

* Support MLIR lowering of Relu

* Use EDSC comparison

* style-apply

* Use .inc file for Conversion classes list

* Disable i32 Relu for plaidml

* Use libc++ for macOS core python wheel

* numpy version

* Add a few more toy dynamic examples

* Enable constant folding for Reverse; enable reverse_shape test

* Add constant folding for Product, and enable two more tests

* Update the conf file picked up by CI

* Remove extraneous conf.py

* Add known issues to release notes

* Word fix

* Fix bulleted list formatting

[MLIR] Add ArgMin/ArgMax lowering support

Fix crash on MacOS