* WIP on finding a good format for op docs in RST

* A few more scribbles

* fix up branch for Amazon code share

* add conf.py configuration details from aproctor's branch for doxy-breathe integration

* update section on how to build the documentation with breathe install details

* Remove empty file on training, update framework integration notes

* Add CentOS stub, fix spelling, core op definition, add to glossary.

* more documentation cleanup on README and installation and testing

* more cleanup of docs for TernsorFlow

* Simplify Dot Autodiff (#412)

* Simplify Dot Autodiff

* remove commented code

* Remove TupleType, ValueType (#411)

* Remove TupleType, ValueType

* Fix compile error.

* Change convolution reference to work with f32 (#409)

* Drwebb/gpu backend dot op (#413)

* Drwebb/gpu backend dot op (#387)

* GPU Dot prod emitter switch statement

* cuBLAS dot kernel call

* Flush out arg substitution into gpu dot kernel call

* Drwebb/gpu backend dot op (#392)

* Take in CodeWriter into gpu op emitters

* Introduce GPU function gen based on pass functions

* Additional gpu emitter stubs

* link cublas in to unit test and ngraph

* Use static code gen methods for GPU, add new GPU op stubs

* use pass manager to declare functions / cublas Updates

* Prune down gpu_external_function wip

* Switch back to GPU tensor views in GPU backend

* Pass in cublas handle to GPU external function

* cuMalloc memory in gpu tensor view

* Use cuda runtime malloc and free for tensor view managment c

* change GPU tensor view init, and use GPU tensor view for GPU call frame

* include headers as system dirs

* GPU tensor printing utility function

* cublasSetPointer to device mode / Fix copyright notification lowercasing

* Passing GPU dot product test using cuBLAS

Clean up

* Changes from review

* Add an overivew.

* Intro for building graphs.

* Refactor docs so that Doxygen and Sphinx are integrated (Sphinx depends on Doxygen with the docstrings stuff)

Still need to resolve a lingering assumption that the build dir is contained in private-ngraph-cpp. It's proving to be surprisingly tricky.

* Added the TensorFlow XLA build information and example of how to run MNIST MLP with TF/nGraph

* Updated TF integration guide for clarity. Added files from cyphers-amazon branch. Add minor changes to sphinx-doxy to test apis

* Small revision of overview and add graphic from arXiv paper

* WIP more editing, picking up from where I left off last week

* Fix garbled sentence edit

* WIP Edit for readability and such
:

* Better font rendering on all architectures included with our custom theme

* Cleanup current version of documentation.  Add NeoSans font binaries to make local font rendering of h1 h2 etc

* Missed merge conflict

* Add something on functions, don't forward-reference parameters

* What we have so far into a PR for review

* Need file for cmake

* Missing header

* Remove duplicate file

* added breathe package to contrib/docker/Dockerfile.ngraph_cpp