* Added rpath setting for PlaidML backend

* Fix colons

* Separate build and install rpath

* Explicitly set target properties

Restore DEFAULT_FLOAT_TOLERANCE_BITS logic in lrn, sigmoid, softmax. Should allow re-enabling PlaidML tests (#3285)

* Added elu operator to Python API.

* Added missing file.

* Specified elu function description.

* Expand docstring

* [Py] Added test with scalar for elu operator.

* Bugfix

*  [Py] Changed input type in elu test.

* Update test_ops_binary.py

* [Py] Syntax bugfix.

* [Py] Added elu operator to list in documentation.

* Fix perf regression in vgg16

* Make switch generic

* Remove unused variables

* Review comments

* Remove unused function parameters

* trivial commit to restart CI

* Split backend_test.in.cpp

* style

* Move backend_{graph_comparison,mlir}.in.cpp back

* Move backend_mlir.in.cpp into backend/ dir

* Disable some tests in PlaidML manifest

* ReverseSequence operator introduced

* Code review remarks introduced

* Added missing EOF

* Removed unused whitespaces in onnx_import.in.cpp

* Added convert to i32 for sequence_lenghts

* Coode review remarks introduced

* Disable reverse sequence for plaidml backend

* Code style fixed

* Workaround to allow BEs to disable revalidation in pass manager

* No no no, your _other_ `false`.

* Update jenkins-trigger.groovy

* Update jenkins-trigger.groovy

* Update jenkins-trigger.groovy

* Update jenkins-trigger.groovy

* Update jenkins-trigger.groovy

* Print provenance_tag name for allreduce op

* Fix a bug

* remove friendly_name print out

* Fix

* More debug

* More bugs

* Bug

* More meaningful outputs

* Better output

* c_str()

* Print friendly_name or provenance_tags

* Print provenance_tags when available

* Add comments

* style

* Codegen support for Dropout

* Different implementation

* Update ngtf bridge doc for generic versioning

* Many improvements, including previous group-based edits

- New section for docs on extra-experimental project-based features
- Team-based edits from PR 2994 added
- Reorganize GSG sections to be cleaner for getting started
- Fix link style warning generated by broadcast.hpp

* Update README with correct ngraph-bridge link on tf repo

* Fix comment so warning not generated on broadcasting op

* Add latest doc changes to ReleaseNotes

* Fix wording suggestion on PR review

* Update HE Transformer experimental backend

* Better error checking for Argmin/Argmax

Argmin and Argmax are not defined if the reduction axis has length 0.

* Simplify

* Update test/type_prop/index_reduction.cpp
Co-Authored-By: Adam Procter <adam.m.procter@intel.com>

* Update test/type_prop/index_reduction.cpp
Co-Authored-By: Adam Procter <adam.m.procter@intel.com>

Add fixes to broken link found by linkchecker

* WIP

* All but two unit tests passing

* Explanatory comment

* Cleanup

* A bit of cleanup stemming from review comments

* Rewrite to use LoopNestBuilder

* Remove unnecessary check from CompiledKernel

* Removed some dead-ish code I missed

* Switch to camelCase in lowerer.cpp

* Fix assignment of resIndexHandles that was triggering an assert

* Add in some safety checks

* dyn_cast -> cast

Aliasing prevents vectorization and other optimizations in LLVM (dot2d,
for example). I found that LLVM dialect contemplates the possibility of
previous dialects adding llvm.noalias attribute to function arguments so
that the NoAlias attribute is generated in LLVM-IR. This should be good for
now although we should discuss how to model this in Standard dialect and co.

* [WIP] Fix unreachable warnings in constant_folding.cpp

* Introduce NGRAPH_UNREACHABLE macro and silent unreachable warnings

* Fix typo and add missing NGRAPH_UNREACHABLE

* Some comments for replace_node

* Update src/ngraph/graph_util.hpp

@csullivan done figured it out
Co-Authored-By: Chris Sullivan <chris.sullivan@intel.com>

* Update graph_util.hpp

* - templatize computing binary elementwise
- added lowering support for Add, Sub, Multiply, Divide

* - Added Support for Greater and less Op

* -Add support for Minimum and Maximum

* use edsc::intrinsics::select instead of terenary operator

* Addressed PR comments

* - return after the conditional check

* Add instructions for building the NGRAPH_PLAIDML backend, ref on latest ToC

* Fix typo

* Reword paragraph to reference ngraph-plaidml build instruction page

* PR review suggestions added

* Fix incorrect callback lookup

* Use std.AllocOp(malloc) for static tensor allocations

* Clean up

* revert getCallDecl change

* style

Update jenkins-trigger.groovy

* Re-enable -Wswitch and -Wswitch-enum

* Collapse identical switch cases

* Fix (I think) compilation errors

* Partially fix missing cases in GPU xformer, so clang will show me the rest of them...

* One last enum value

* Fixes pprovenance issue for replace_node() when new nodes are added by the replacement.

* Updates unit test comment and adds one more.

* Fix shrink operator for uint* types

* Add a comment for negative_lambd=0 for uint*

* 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.