* nan unit test

* fix NAN issue

* add INFINITY support

This reverts commit 39383029.

It looks like the commit actually suppressed parallel makes
of MKL-DNN, at least in the case where ngraph itself was being
built with parallel make.  It also introduced problems with
make jobserver warnings.

* add resource file generator and store all headers used by codegen in memory.

* cleanup

* cleanup

* update serializer to emit small, simple element_type. backwards compatible.

* allow for selecting indenting when serializing

* remove ngvm

* remove NGVM from cmake

* fix autodiff on non-NGVM backends. NGVM initializes all tensors to zero on allocation while the other backends do not. Had to initialize vector before use.

* change autodiff tests to use INTERPRETER

set code model back to default as medium is causing the CPU.divide_by_zero_int32 unit test to sefault when it throws an exception from the generated code (#328)

* CPU: Optimize Eigen based rowwise vector broadcast

* CPU: Remove the need for transposing the broadcast vector

* CPU: Optimize to a replicate expression

* CPU: Change code model to medium and compile for the host CPU
instead of hardcoding BDW

* remove ParameterizedConstant
* use simpler element Type definition
* Move TraitedType to NGVM directory

* Adds CMake variables `MKLDNN_BUILD_COMMAND_EXTRA_FLAGS`
  and `MKLDNN_CMAKE_EXTRA_FLAGS`.

* aliased output unit test
* add support for aliased outputs to INTERPRETER and CPU

* Implement 'not' in interpreter and CPU; add unit tests for same

* Fix compile failure on CI

* Initial pass as supporting ngraph_dist builds with both gcc and clang.  Includes deprecated targets to support Jenkins CI with old feature and development branches that may not have these changes.

* Added build_all, check_all, and install_all targets

* Broke build and check steps into separate make sections.  Each step already generated its own log.

* Updated README.md

* Fixed a bug in the docker build context, which was overly general and included the build directories.  This caused a loop where the docker images rebuilt into multi-gigabyte images after testing was run (yikes).  New context is the contrib/docker directory, which is tiny.  No more image rebuilds.

* Rename the docker image to be less generic, so that another tool doesn't accidentally use the same name

* Change compatibility target "make check_cpu" to run "make check_all", so that all builds are done.

* Add a conversion step to change the test-suite names for all unit tests, to include an indicator for what compiler was used for the builds (_gcc vs _clang).

* Unfortunately, modifying the test-suite name with compiler suffix did not show in Jenkins test results.  Now modifying classname instead.

* Switch builds to be RelWithDebInfo, which turns on optimization and includes debug symbols.  Remove verbose output when creating tarball, to reduce log fluff.

* used something other than aligned_alloc for mac

* Fix compile error for aligned_free on Mac

* remove use of ParameterizedConstant from unit test. Now using Constant instead. Constant is not a templated class.

* move ParameterizedTensorView to NGVM directory

* element_type cleanup

* add unit test

* fix Parameter as output in INTERPRETER

* cpu working

* parameter_as_output passing for INTERPRETER

* still works

* cleanup

* Add and use get_shape() and get_element_type() on Input/Output

* Fix Output

* Formatting.

* Format.

* Use reference

* Convolution.

* Test GitHub-JIRA integration, nothing useful in this commit

NGTF-388 #comment Testing JIRA integration

* WIP on convolution

* Type checking for convolution

* Docstrings for convolution

* Add convolution reference kernel; it works on some unit tests copied and pasted from my old branch.

* Bugfix for dilated conv, and improvement to conv test generation

* Remove get_arguments calls from convolution stuff

* Add convolution to CPU; also a few fixes to the test generation stuff

* Add copyright header to convolution ref script

* Move copyright header to the correct place

* A few more tests

* Remove fallback behavior of blanking out the convolution ref file, since we're not generating it from the build system anymore

* Delete stale comment

* Merge stuff for the convolution ref script

* Clean up rebase mess

* Review comments

* Review comment (n_foo -> foo_count)

* Replace function->get_result()->get_outputs() call with function->get_outputs()

* Test for parameter straight to output

* Roll back cmake modification for INTERPRETER autodiff

CPU: Optimize Eigen Cwise sum

* tuple -> xla_tuple (+headers)

xla_get_tuple_element

get_tuple_element headers

adding get_tuple_element + fixes

get_tuple_element

XLAFunction; breaks tests

compiling libngraph.so w/ XLAFunction and Function; fixing tests is next

build & test fixes

formatting

m_arguments -> get_arguments (first step to hide m_arguments)

removing some get_arguments

get_arguments -> get_arguments_DEPRECATED

more DEPRECATED

formatting

m_arguments no more! at least technically

halfway

tests pass

xla_function.cpp/hpp

move defs into cpp files

get_input_argument -> get_input_op

formatting

* add xla_function.* and assert -> throw

* assert -> throw, remove cassert

* removing emitter.cpp; poor guy got left behind

* addressing feedback p1

* rename GetTupleElement -> GetOutputElement

* adding a comment to get_arguments_FOR_GRAPH_REWRITE_ONLY

* removing virtual off set_name

clean-up, formatting fixes

cleanup2

clean up 3

tests pass

remove printf

switching to the old version of TupleType::==

fix tuple unit test crash when using gcc

topological sort pass to call the utility function
clone util to be used by frameworks e.g. for fprop cache

Performance benchmarking and utils

LSTM benchmark test

performance counters

CPU: Run static destructors at teardown

Serializer test: use INTERPRETER, not CPU