* Retire Reduce, ReduceWindow, SelectAndScatter

* Remove lingering AnyAllReplacement code

* Remove apparently-now-unused macro

* Remove lingering op/reduce.hpp includes

* Remove FunctionCall

* Update Python stuff to remove FunctionCall, Reduce

* Add Any/All tests to GPU manifest

* Remove deleted .hpp #include from gpu_compiled_function.cpp

* Restore reduce_function.cpp since that is where the All/Any implementations ended up residing

* Add reduce_function.cpp back into CMakeLists.txt

* Remove #include of deleted reduce.hpp

* Re-remove AnyAllReplacement from GPU passes

* Remove deleted #includes from gpu_internal_function.cpp

* Remove git conflict stuff (whoops)

* Add newline at EOF, per review comment

* Address flake8 complaint about unused import

Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* update licenses for 2019

* style

* [Py]Add version to ngraph python

* FIX

* Fix installing numpy dependency on CentOS.

* Check whether nGraph library directory exists.

* make GOE extend from util::Op

* fix build breaks

* change compile call to return Handle

* make CPU require compile() before call()

* fix unit tests to call compile() before call()

* fix failing ops

* update unit test

* revert some changes

* more fixups

* more diff cleanup

* a few more issues addressed

* more fixes

* update API

* more updates

* fix test_ops.py

* fix

* another attempt to fix

* fix unit test

* fix test error

* Update README for PyPI

* Update README for PyPI

* Remove redundant newlines

* Fix links

* Uniform quotes style .

* Fix comment style.

* Check setup.py with flake8.

- Fix flake8 errors.

* Move function out of class scope.

* Fix function paramter list

* Fix formatting.

This reverts commit c5b082c6.

* onnx: return signle nGraph function with multiple outputs
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnx: remove excessive code
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* Update ngraph python unit tests

* Update setup.py

* Update setup.py

* fix errors in edit

* fix ascii error

* get the right readme

* rename a variable at Scott's request

* Add license files and cleanup compiler/linker options.

* Update comment on c++ standard option flag

* Fix batchnorm argument order, cleanup some comments, fix backprop

* Merge error

* Clean up training function, organize inference test

* BatchNormInference tests

* Training case

* Training test

* Fix autodiff BatchNorm test

* Cleanup

* Move file to doc checkout

* Update disabled test name in igpu manifest
Fix unnused variable

* Unit tests disables

* Review comments

* [Py] Add make python_wheel target

* Add make install step

* Use tagged pybind11 version 2.2.4

* remove forward op

* fix bbrks

* fix pybind c-tor for max_pool_bprop

* Add new c-tor to MaxPoolBackprop that takes MaxPool as an explicit argument. Add serializer support.

* Add nvgpu support for new backward pooling c-tor, and calculate fprop when it isn't available.

* Add extra layout for 3 arg maxpool backprop.

* Formatting.

* cpu_workspace_insertion to expect 3-arg maxpool bprop

* GPU: add bprop_needs_pooling flag to primitive hash

* Update INTELGPU arguments_check for MaxPoolBackprop and GPU invocation for avg pool.

* Move ParameterVector and ResultVector to the ngraph namespace where they belong

* update python wrapper

* more python fixes

* style

* Update setup.py

* fix some new code

* onnx: enable external weights to enable Caffe2 support
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnx: update ONNX importer interface documentation
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnx: after review updates
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* create unique_ptr backend

* unit test cleanup

* address more code that was recently added

* change from reference to pointer when passing backend to reduce the number of lines changed.

* fix build error

* fix python wrapper

* style

* more specific treatment for unique_ptr

* Add PlaidML backend

* CR comments

Used m_ prefix for members; removed trailing underscores
Updated license headers
Moved associated header inclusions to project blocks
Wrapped comments to 100 chars
Added missing newlines between functions
Removed nested namespaces in operation implementations

* Add earhart to CODEOWNERS

* Rebase updates

* style

* split bn into bn_inference bn_training

* fix warnings

* Add GPU support for the new BN ops (#1569)

* Add GPU support and change batchnorm_globalstats test to use BNInference.

* Changed test back to using BNTraining for global stats and updated cudnn backend to account for it.

* Fix issues in merge with master.

* Formatting.

* CPU fixes

* remove 5-arg training BN for now

* more fixes

* python batchnorm changes

* fix onnx_import

* fix a call BatchNormInference c-tor

* yet another fix to BatchNormInference c-tor

* AND yet another fix to batchnorm_inference c-tor

* ops.py

* address adam's feedback

* Remove unnecessary parameter/argument.

* remove batch_norm_training_relu_with_global_stats

* remove bn_relu (training)

* [Py] Apply PEP8 code style to setup.py

* Remove unused var

* Update version to 0.9.0

Add support for an environment variable `NGRAPH_ONNX_IMPORT_ENABLE` to setup.py
This variable controls whether the Python API is build with or without support for ONNX import functionality built into core nGraph.

* rename files

* rename runtime TensorView to Tensor

* rename HostTensorView to HostTensor