* Enable NNP reverse build, clean up ngraph repo

* clean mkldnn cmake

* add reduce op

* fix bug

* fix bug and enable tests

* hack solution to get reduction function in reduct op

* hack version working on all tests

* fixed the reduction checking process

* clean up, rename

*  remove commented code; add comments

* throw useful error when Backend library fails to initialize

* add dlerror to error message when opening backend shared lib

* Generate binary representable floats for input data

Removed ReLu activation present just before softmax.
(It's not a good idea to have ReLu > Softmax immediately. The test accuracy of the model is now much better.)

* move nop elimination pass to nGraph and add broadcast elimination

* fix pad test bug

* remove graph visualizer and clean up includes in nop eliminate test

* code format

* Final PR review edits plus repair abc.cpp example docs that broke when code was added

* Word

* type tests for reverse_sequence

* remove commented out code

* 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

* [Py] Use get_friendly_name for object names

* Moved emit_elementwise implementation into CUDAEmitter and added logical_and and logical_or ops.

* Updated comment and formatting.

* Added check for multi-output elementwise ops.

* Added op::AvgPool cudnn impl. which works for 2-3 spatial dimesions and no/symmetric padding. Enabled tests.

* Added cuda-c implementation of average pool which handles 1-3 spatial
dimensions as well as asymmetric padding. This commit also introduces
several helper functions for performing fast integer division and
fast constant memory access.

* Formatting. Removed bool that was used for testing to force the cuda impl. over cudnn.

* Added CUDNN AvgPoolBackprop implementation.

* Removed inline enum in preference of a helper struct. Removed instances of multiple declarations on a single line. Updated comments.

* Removed _prefix to helper functions in anonymous namespace.

* create ngraph_test_util

* installs libngraph_test_util

* doc updates

* test add section on transformers to graph basics

* Fix typo on abs

* Adding more background and detail for graph-building concepts unique to nGraph

* First pass at updating nGraph basics for StackOverflow kinds of questions

* Forgot to add a file

* Update for new naming and capitalization conventions

* add edits from first PR review

* More updates from PR review

* Minor changes for AllReduce

* Refactored the cudnn reduce kernel to use the nGraph Shape -> cudnnTensorDescriptor cudnn helpers that the other kernels use.

* Added cacheing to cudnn reduce op.

* Adding back hashing call before returning primitive index to op::Reduce (bug fix).

* [cuDNN:Part 2] Descriptor Creation/Destruction refactoring (#969)

* Added a cuDNN descriptor factory which manages the construction and destruction of cuDNN descriptors.
It correctly calls Create/Destroy based on the cuDNN descriptor type. Previously the Destroy functions were not being called.

* Removed commented code and changed class to struct on cudnn_descriptor.

* Added comments and updated a few variable names.

* Clang compiled cuDNN kernels (those not part of CUDNNEmitter)
now use the CUDNNDescriptor factory.

* First version of nGraph Python API documentation pages.

* Remove use of (`) apostrophes since they generate Sphinx warnings.

* Fix submodule rendering in Sphinx PythonAPI docs

* Add updated index and conf py files

* Updated version of Python API doc.

* Better description for the autosummary

* FIX: Disable autogeneration of summary files in documentation.

* Remove redundant file containing duplicate information.

* Remove unused Sphinx extensions.

* (Partially) automatic generation of python API doc.

- Detailed documentation is generated automatically
- Summaries are generated automatically for all files except runtime.py
  which is parsed incorrectly.
- No additional steps required. Only run `make html`. Under the hood there
  is lunched script which generates all required files to some temporary
  directory under `/tmp/sphinx_auto_py_doc/` and copied to docs directory
  afterwards.
- Remove `autosummary_generate` from in configuration file since we use
  custom script which performs this step.

* Review update.

* Automatically generated stub files for doc.

- Added just few empty lines which has been removed during recent merge.

* add concat op

* change to concat

* add more code for gpu concat

* compile sucess version with bug

* add emit_concat_op

* runable with wrong result

* working version

* add some comments

* delete old comments.

* delete old comments.

* remove bug doxyen comments

* workaround to avoid apt-get update error for GPU docker image build on Ubuntu 16.04: The method driver /usr/lib/apt/methods/https could not be found.

* removed extraneous proxy variables from the contrib/docker/Dockerfile for GPU on Ubuntu 16.04

* product simplifier

* char -> signed char

* 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

* First version of nGraph Python API documentation pages.

* Remove use of (`) apostrophes since they generate Sphinx warnings.

* Fix submodule rendering in Sphinx PythonAPI docs

* Add updated index and conf py files

* Updated version of Python API doc.

* Better description for the autosummary

* FIX: Disable autogeneration of summary files in documentation.

* MaxPoolWithIndices CPU Fusion

* fix test to pass checks in cpu_fusion

* pass test

* clean up

* add a new pass, add layouts

* remove the opt from cpu_fusion

* refactor cpu_layout logic for maxpool, clean up comments

* add comment w.r.t. indices tensor

* rename to cpu_workspace_insertion

* add CPUWorkspaceInsertion pass for TF

* sequence reverse

* fix test

* more tests for reverse_sequence

* remove debug prints, change perms

* fix formatting; remove dead code

* make seq_lengths a parameter

* autodiff + tests

* cse init

* init tests

* clean up; more tests

* remove visualizations