* Validate/infer types as a virtual function
BroadcastLike, ScalarConstantLike
Set output shape separately from output types
Remove some obsolete tests
Replace *Like ops with fixed type versions

* Review comments

* Remove TensorViewType

* Remove PrimaryTensorView

* Reviewer comments

* Style fix.

* Another try at GPU

* GPU

* Simplify class hierarchy

* More of previous.

* Better errors

* Remove unneeded classes

* Merge

* Update Python bindings

* clang-format

* Remove redundant files

* Remove commented out lines

* clang-format

* Group includes

* Missing tests

* Merge error

* use line comments instead of multiline comments for license header

* update more

* update new files

* more header updates

* style

* normalize doxygen keywords

* more normalization

* normalize more onnx files

* yet more normalization

* fix doxygen error

* normalize comments

* address review comments

* enable parameter validation for all unit tests

* updated

* type prop

* disable test in manifest

* try to exclude

* style

* double

* dobule

* more

* style

* more

* vecs

* fix goe

* Cache some generated functions in backwards tests to speed performance

* more caching

* collect matched nodes

* clear m_matched_list

* tests

* address feedback

* nbench cleanup

* update style

* add pad_dilation function

* add dilation to gpu_emitter

* add CoordinateDiff constructor to GPUShape

* remove unecessary cast

* working version for forward

* forward working

* forward test all pass

* deconvolution forward

* backward data dilation

* forward test passed

* initial to 0

* fix bug for get_padded_shape and clang format

* code style, change variable names

* refactor convolution conditions

* fix bug padding_below_diff

* change pad_dilation to pad_dynamic, compare to pad

* remove passed convolution test from skip list, clang format

* change pad to use GPUShape

* Support 3-D pool with mkldnn

* Move execute() to test_tools.hpp

* 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

* 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

* create ngraph_test_util

* installs libngraph_test_util

* Make temp memory pools static to avoid memory allocation overheads

* Initial implementation for graph control to enable caching and computation reuse

* Added sphinx documentation

* Turned off memory buffer reuse in CPU transformer to support computation reuse. Added unit test

* Change memoizable to cacheable

* Change memoizable to cacheable

* Rename variables

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

* Remove unused files

* remove obsolete function

* get_input_op -> get_argument

* more replacing

* more replacing2

* 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 :(

* force backend compile() to make a copy of the graph

fix copy_with_new_args on ops that have function pointers internal

update unit test for new backend API

add unit test for multiple simulataneous backends

* move get_subdevices virtual method to Manager class

* update GPU to latest

* update call methods

* add remove_compiled_function()

* refactor Adjoints to support multi-output ops

* passing tests

* switch to generate_adjoints(deltas) and backprop_node

* remove debugging code

* fix error msg

* fix typo adjoitns

* fix comp errors in mnist_mlp

* add random init for all input types, not just float

* remove debug

* initial refactoring using PM

* unit test pass

* cosmetic changes

* add another rnn test

* address louis' feedback

* lower-case labels

* test graph.

* rnn matrix fusion wip.

* WIP.

* matrix fused.

* clean up.

* additional refactor.

* fixed merge errors.

* testing.

* added test case.

* more testing.

* more testing.

* bias wip.

* debuggging.

* fusing bias too.

* disabled debug outputs.

* removed debugging.

* removed testing models.

* removed debug models.

* reset nbench.

* clean up and testing.

* removed debug code.

* updated comments and var names.

* rename var.

* removed debug code.

* removed debug code.

* fixed compiler warnings.

* refactored test.

* Added const to parameter.

* address some of the review comments.

* added comments and addressed reviews.

Adjust CallFrame argument order to match Function

* rename directories to be consistent
* rename reference namespace to match directory

* fix fprop cache test error by cloning functions to preserve metadata

* fix detailed timing flag

* more detailed info

* the first stab at op::Result

format fixes

disabling logging

op::Result, 2nd attempt

purge stale code

disable logging

fix copyright header

* initial cleanup

* cleanup2

* remove dead code

* result.cpp, fix comments

* fix comment