Update TBB build script for Windows.

Fix typo.

Fix incorrect omp lib name on Windows.

Fix incorrect tbb.dll path on Windows.

Make LIBRARY and ARCHIVE output directory consistent.

Function missing on Windows.

Update test::util::all_close() to fix compilation issue on Windows

Export CPU_Executable on Windows.

Change nbench path for unit-test on Windows.

Change copy to copy_if_different.

Install CPU backend on Windows.

Disable tools test on Windows.

Disable two failing unit test on Windows CPU.

Fix incorrect CPU backend install path on Windows.

* quick fix to add openmpi as default

* add finalize to distributed class & use unit test

* use intel mlsl github link

* apply style

* address a few comments

* fix test

* update nbench cmake

* remove extras

* fix a bug

* add counter to finalize and cleanup

* test ci error

* address mlsl ci error

* update flag names, as mentioned in pr comment

* revert back the link to mlsl repo and tag

* add flag to finalize

* apply style

* debug with info

* delete when flag is true

* add distributed setup class works, tests pass

* fix style

* remove extra instance

* disable the test due to a bug

* change flag to ompi

* remove the dependency of setting NGRAPH_DISTRIBUTED_ENABLE flag

* cleanup

* change extern to static

* remove the option NGRAPH_DISTRIBUTED_ENABLE setting this flag

* formatting

* update flags not catched by ci

* make unique pointer

* remove unused bool, fix clang error

* first cut at raspberry pi backend

* rename rpi to generic cpu

* disable cursed test

* update licenses for 2019

* style

* Fixed the benchmark file to reflect the updated compile function usage.  Compile returns the compiled function now

* Removed redundant compilation

* files pulled from bob/winbuild

* fix compile problems

* fix a few windows build errors

* add windows file to exclude from git

* add comment why change was made

* revert obsolete change

* more cleanup

* building interpreter and unit test on windows with DLLs

* Add flag for windows to export all symbols. Short term fix.

* enable MD build

* address warnings

* dump all windows build results to a single directory

* fix windows backend dll open issue

* remove debug

* fix file iterator for windows

* fix merge error

* fix test failure

* change header from h to hpp in hopes of making python happy

* address more linux build issues

* fix visibility enable

* Fix uninitialized parameter tensor data in nbench

* Remove const modifier in the loop to fix compilation error

* Add condition check before writing tensor data

* Remove the condition check when initializing pramater tensor data

Use @loader_path for the calling library/executable
Use @rpath for dependent libraries.

* Add PlaidML backend

* CR comments

Used m_ prefix for members; removed trailing underscores
Updated license headers
Moved associated header inclusions to project blocks
Wrapped comments to 100 chars
Added missing newlines between functions
Removed nested namespaces in operation implementations

* Add earhart to CODEOWNERS

* Rebase updates

* style

Fixes an error when building on macOS (with CPU backend disabled, but not sure if that makes a difference):

```
/Users/amprocte/Work/ngraph/src/tools/nbench/benchmark.cpp:36:29: error: use of undeclared identifier '_MM_FLUSH_ZERO_ON'
    _MM_SET_FLUSH_ZERO_MODE(_MM_FLUSH_ZERO_ON);
                            ^
/Users/amprocte/Work/ngraph/src/tools/nbench/benchmark.cpp:37:33: error: use of undeclared identifier '_MM_DENORMALS_ZERO_ON'
    _MM_SET_DENORMALS_ZERO_MODE(_MM_DENORMALS_ZERO_ON);
```

* IntelGPU backend: Enable nBench statistic

* PR1848. Combine counters type time

* rename files

* rename runtime TensorView to Tensor

* rename HostTensorView to HostTensor

* remove get_tensor method

* remove get_element_count as it is redundant to get_size

* fix a few issues with examples and python wrapper

* rename get_size to get_element_count and add get_size_in_bytes method

* update nbench output to be more consistent for single vs. directory benchmark.

* wip

* add types used in model

* fix test

* style

* catch all exceptions when running any option

* add unsupported_op exception

* unsupported_op test

* add printout of unsupported op in model

* fix GPU dispatcher check

* fix test designation

* catch exceptions on single file runs too

* add unsupported_op exception where needed

* remove unsupported_op class

* add unassigned op exception

* add unit test

* catch unsupported op in nbench

* add cpu test back

* update all latest merges

* mode change

* add option to copy intput/output data for each iteration

* add support for stale buffers

* only print details if details enabled

* refactor print routines to main file

* refactor for multi dir support

* dir support prints nice results

* use line comments instead of multiline comments for license header

* update more

* update new files

* more header updates

* style

This reverts commit 5ab5a129.

* static link cpu library to ngraph

* remove debug

* link ngraph and cpu backend into a single shared object

* add -fPIC and whole-archive for CPU backend

* Added conditional for --whole-archive for Mac OS.

* Added more conditonal for MacOS.

* fix linking problem and unit test failures caused by multiple copies of the same function in CPU backend and INTERPRETER

* fix nbench build

* add nbench to unit test build

* add version number to libngraph

* Add an option to exclude the first iteration

* Switch to warmup iterations

* Cleanup

* add option to run all models in a directory

* add print for exception from benchmark

* compiles but does not link

* using async gpu timers

* remove sync for cuda calls, add async gpu stopwatch, add count to timing-detail

* add debug sync

* make timer static

* move timer to runtime context

* nbench cleanup

* update style

* First IntelGPU backend based on clDNN with empty functions

* Backend/API:Conflicts resolved and comments addressed

* backend libraries now found in tree

dynamically read header search paths

fix running from install

* Update cmake files to more modern approach

* disable building libraries that are not required

* handle more build cases

* add versions to backend libs. add start of package target.

* add create_backend to backends

* temporary workaround to tbb not linking correctly with gcc

* install codegen lib

* force tbb to link to the cpu backend so that it is available for codegen

* fix clang build error

* fix warning for codegen build

* update cuda header paths

* change error message for opening backend shared library

* set lib path

* Move runtime::Manager functionality into runtime::Backend

* Remove unused files

* remove obsolete function

* 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 :(