Massive rewrite of the test generator to use parameterized gtest, so we can disable in INTELGPU manifest

* 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

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.

Also fix formatting

* Test convolution via all_close_f

* Test avg pool via all_close_f

* Moved constant into start of generated file

* use calls for new backend API in unit tests

* fix compile error

* fix compile error

* update licenses for 2019

* style

* change compile call to return Handle

* make CPU require compile() before call()

* fix unit tests to call compile() before call()

* fix failing ops

* update unit test

* revert some changes

* more fixups

* more diff cleanup

* a few more issues addressed

* more fixes

* update API

* more updates

* fix test_ops.py

* fix

* another attempt to fix

* fix unit test

* fix test error

* Move ParameterVector and ResultVector to the ngraph namespace where they belong

* update python wrapper

* more python fixes

* style

* Update setup.py

* fix some new code

* create unique_ptr backend

* unit test cleanup

* address more code that was recently added

* change from reference to pointer when passing backend to reduce the number of lines changed.

* fix build error

* fix python wrapper

* style

* more specific treatment for unique_ptr

* use line comments instead of multiline comments for license header

* update more

* update new files

* more header updates

* style

* address klocwork warning

* fix PR comments

* enable parameter validation for all unit tests

* Generate binary representable floats for input data

* test_control in util

* Add mechanism for disabling specific backend unit tests from a manifest file.
Populate the test manifest files for CPU, GPU and INTERPRETER.

* update docs for new manifest controlled transformer unit tests

* add enable gpu convolution tests flag in py

* working version

* revert convolution_test.in.app

* use a skip list to skip backend for test

* add comment to remind implement of neeeded ops

* reenable unit test

* remove deprecated

* remove all legacy Backend API usage

remove deprecated files

* pull in changes from master

* fix GPU calls

* disable tests in convolution generator

* update per PR comments. Enable performance counter feature.

* update per PR comments

* fix build error

* fix conditionally compiled test :(

Adjust CallFrame argument order to match Function

* Replace using aliases with actual classes

* initial support for hybrid transformer

* add broadcast_vector_rowwise_reversed for hybrid test

* headerc

* get function placement fix

* conv ref test generator graph node in labmda fuction

* rename map_parameter_to_source_node

* type change map_parameter_to_source_node

* use interpreter for numerical derivative

* better comments

* fix Shape declarations

* fix convlution reference script

* convolution backprop

* cleanup

* fix build warnings

* Missing include

* fix build warning part 2

* move numeric_compare to its own header
code review feedback

* fix build warnings 3

* fix build warnings 4

* clang-format

* cast to avoid implicit cast warning

* wip

* wip

* remove get_vector from runtime::TensorView class as it was for unit test only

* cleanup

* move writting vector to runtime::TensorView to the unit test dir

* merge fix

* PR review change

* update from PR comment

* update changes file