* updated the sphinx version using pip install in Dockerfile.ngraph_cpp

added a make target to build the docs to the contrib/docker/Makefile

* avoid upgrade pip message during build

* Definition and type checking for max pool

* Implement kernel, integrate into INTERPRETER, add a few unit tests, make function result type mismatch error message more informative (still need to update tests to reflect that)

* Temporarily delete unit tests to ease merge

* Temporarily delete unit tests to ease merge

* Restore deleted unit tests

* Fix a broken error message check in the unit tests

* Update to handle various TensorViewType-related things going away; add NGVM support

* Add codegen case

* Change various get_blah_shape methods to return const refs, and while we're here, make a similar change where it should have been done in convolution

* Use NDArray for max-pool tests

* recreate ops

* style

* recompute ops

* style

* fix

* recreate ops

* style

* recompute ops

* style

* fix

* some

* more

* style

* remove a line

* const

* style

* NodeMap was using non-standard operator[] behavior.

* Missing include

* Function can have multiple results
Remove external use of ValueType, TupleType, Tuple
Remove many external uses of Output and Input

* corresponding CPU backend changes

* Update master changes.

* Remove type arg from Function, add changes.md

* Merge changes.

* Move bodies to .cpp, add brief doc

* Merge CPU changes.

* Remove xla includes from non-xla files

* Remove xla from tests

* First part of xla tuple support

* change fprop_cache to assume multi-output bprop functions

* New wrappers for handling tuples with XLA

* Review comments

* remove old xla files

* fix merge errors

* hand edit models to use multi output instead of tuples

* remove llvm/clang dependency in headers

* copy elision

* add larger test models

This avoids bloating .data and clears the path
for code model fixes later

* wip

* constants as globals

* const emitter rewrite

* CMake: TBB integration placeholder

* CMake: Integrate TBB

* CMake: Indent

* CMake: Rewrite TBB integration

* CMake: More TBB integration changes

* CMake: Install TBB headers and DSOs

* CMake: Don't install the TBB debug DSO

* CMake: Propagate ngraph's configured compiler setting over to MKL-DNN

* CMake: Restore TBB debug DSO installation

* CMake: Add installed headers to search path.
This needs to be cleaned up along with other header search cleanup

* CPU: Build and execute TBB flowgraphs

* CPU: TBB fixes

* CPU: More TBB fixes

* CPU: Allow both TBB and serial codegen for now

* TBB: get_arguments -> get_input_ops

* CPU: Use node methods

* CPU: Add TBB headers in the build directory to the search path

* TBB: Incorporate various changes from master

* CMake: Indentation fix

* CMake: Indentation fix

* CMake: TBB is mandatory so remove additional predicates

* TBB: Add a test

* CMake: Fix linker flags with GCC

* in progress

* working cache_fprop, no tests

* style fix

* all inputs to bprop (except adjoints) are cached from fprop

* fix typos, make sure to check count == 0

* fix code format

* cleanup

* cleanup

* expand

* wip

* undo

* enable -O3 optimization

* add flags to support release/debug builds

* 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