* Add GetOutputElements to outputs of FunctionCall so each op has exactly one output.

* cleanup

* [ONNX] Fix convpool padding by max(x, 0) on pad calculation

* Update convpool.cpp

* Add Casting

* Add coment

* Update MXNet bridge info page

* Fix warning from docbuild due to heading

* Update page on distributed training

And its annoying warning.

* - gauss error function (erf) implementationn through eigen

* - erf implementation for cpu codegen ii) unit test for erf cpu v/s intr

* fix style

* Added the initial rev. of the Event tracing

* Fixed the API and format

* Updated based on review feedback

* More updates based on code review feedback

* Fixxed format again

* More update based on PR review comments

* Fixed format

* Fix a compilation error that doesn't show up in local system!

* Save and return backend handle

* Removing some unnecessary functions

* Implement get_backend_node

* Add documentation

* Applied style

* Change name of function

* Returning op instead of node

* Change documentation

* Added more detailed comments

* Change op to node

* Reduce concat fusion test input sizes

* missed something

* Add MPI_Bcast to nGraph core

* Add mpi_broadcast op and pass the unit test on CPU backend

* Modify API for MLSL

* Remove unused variable

* Fix the format

* Add the op call in python/pyngraph/ops/regmodule_pyngraph_op.cpp.

* Fix emitter function for DistBroadcast op

* Fix format

* Fix the emitter function for distbroadcast op

* Fix format

* Delete the reference code for distbroadcast op

* Include mlsl.h from ngraph build for genernal external usage

* Change back for build

* Fix alphabetical order issue and line space

* Rename disbroadcast to broadcastdistributed

* Change back continue

* Update the changes

* Fix style

* Delete unused variables

* Change some text format

* Add support for interpreter backend for broadcastdistributed

* Delete some redundant code

* Fix format

* rename

* remove unused file

* More renames

* renaming

* Remove one unused file

* Fix a bug

* add back redundant

* One more commit

* More commits

* Unify distributed_send and distributed_recv functions

* Fix format

* Process one line at a time to support MSVC.

* Fix undefined variable.

* Style.

* Split header into 64k chunks on windows and re-assemble in codegen.

* style

* Skeleton for shape specialization

* Change signature of as_constants to return the vector, with zero elements in case of failure

* Add as_constants implementation for Concat

* Some comments

* Add check for element types of replacements; fix comment typo

* Address PR feedback, and add some comments

* An extra check, and a comment, ahead of the memcpy

* Minor comment wording fix

* [ONNX] Add documentation

* Update documentation contributor's instructions

* Doc theme to match ngraph.ai

* Minor formatting fixes and PR feedback

* ToC fixes

* ToC fixes

* Add changes

* Be consistent with BUILDDIR

* Be consistent with substitution

* Update Makefile

* Update style check, add feedback from reviewers, remove outdated link on ReleaseNotes

* [ONNX] Add documentation

* Update documentation contributor's instructions

* Doc theme to match ngraph.ai

* Minor formatting fixes and PR feedback

* ToC fixes

* ToC fixes

* Add changes

* Be consistent with BUILDDIR

* Be consistent with substitution

* Update Makefile

* Update README.md

Lots of updates to the broken links, typos, and other improvements to be noted for the latest release.

* Update README.md

fix typo

* Try asciidoc version of README

* Update README.md

* Tox is stupid

* Add both versions for kicks

* Add PR review feedback

* Remove text version of readme

* [ONNX] Add documentation

* Update documentation contributor's instructions

* Added extra case for conv bias affine folding

* Added unit test

* Check for fused ops in unit test

* [ONNX] Change default broadcast dim value, gemm improvement

* update comments: ones -> zeros

* Add erf op, interpreter kernel and unit tests

* Add review feedback and fix unit tests

* Add unsupported op to GPU and IntelGPU

* Add one more test

* Do not set num_threads_per_pool to 1 in cpu executor.
Ignore cacheability in memory assignment when not reusing memory.

* Fix debug output.

* [WIP] First commit

* Remove some commented code

* Further changes

* Further changes

* Add method to remove patterns with just one concat

* Add tests

* Add more tests

* Fix fan out case

* refactor code

* refactor code

* Added NGRAPH_DEBUG statements

* Use INTERPRETER as backend instead of CPU...travis build failure

* clang

* minor edit

* add more checks in the tests

* Incorporate Bob's comment

* Removed some NGRAPH_DEBUG statements and incorporated Pruthvi's comment

* Incorporate Xiaoyu's comments

* some refactoring

min_signal is intended to optionally skip checking float
distances when numbers are close enough to 0.
Only skips when both numbers are < min_signal.
Intention is to allow tighter float testing in certain
cases where most values are not near 0, but values near
zero are differing by more bits than values farther from 0.
Should be used with caution in limited cases.

* i) added support to handle default convolution kernels

* - added test case for rotated convolution

* added debug info for conv exception

* disbale handling conv exception

* WIP onnx unit test reproducer

* - Fallback to reference kernel if its negative padding for convolution

* - corrected the conditional check for -ve padding in conv

* added dyn_reshape and dyn_slice.

* style fix.

* some fixes.

* added dyn reshape type prop.

* fixed gpu build.

* added headers to gpu emitter.

* Inital DynPad implementation

* Inital DynPad implementation

* Fixed DynPad validation. Added Unit-test

* Nits and white-space fixes

* - PR feedback.
- Added padding rank check tests

* Minor comment fix

* Fix merge error

* Fix accuracy issue

* Style fix

Cleanup runtime context in CPU_CallFrame Destructor

Moving the channel part of the sum into an inner loop lets padding be ignored
once per position rather than once per channel/position. This order of non-precise
summation also seems to be closer to other convolution implementations.

Add options to test generator for controlling precision of tests for debugging purposes,
and fix another python3 problem.