* Add a direct-to-Tile op

* Disable dequantize_dynamic_offset

* Add missing Py op defn

* Generic passthrough op; serialization

* Appease Linux builds

* Add gpu handlers

* Disable floor_int32 for now

* 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

* update licenses for 2019

* style

* make GOE extend from util::Op

* fix build breaks

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

* 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

* 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

* 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)

* Implement TopK.

* Update python wrappers for TopK, ArgMin and ArgMax.

* Address some reviewer comments.

* Add type property check tests for TopK.
Set correct TopK behavior for K==0.

* TopK: Add 1d and 3d unit tests.

* Address more reviewer comments.

* Apply code style.

* Validate/infer types as a virtual function
BroadcastLike, ScalarConstantLike
Set output shape separately from output types
Remove some obsolete tests
Replace *Like ops with fixed type versions

* Review comments

* Remove TensorViewType

* Remove PrimaryTensorView

* Reviewer comments

* Style fix.

* Another try at GPU

* GPU

* Simplify class hierarchy

* More of previous.

* Better errors

* Remove unneeded classes

* Merge

* Update Python bindings

* clang-format

* Remove redundant files

* Remove commented out lines

* clang-format

* Group includes

* Missing tests

* Merge error

* Expose onnx_import C++ interface in Python API.

* Pretty printing.

* Add Computation interface using Ngraph Function objects plus UT.

* Apply code format.

* Remove unnecessary stream open mode.

- Code formatting.

* Fix onnx_import submodule visibility.

- Folder restructurization.

* Fix some small errors.

- Wrong function type annotations.
- Class doc.
- Code formatting.
- Class inheritance from object.

* Use modified Runtime class interface.

* Add model for test_onnx_import.

* Revert back to old API.

- Use of Function object in Computation class.

* Use of previous verions API.

* Small refactoring

* Code cleanup

* use line comments instead of multiline comments for license header

* update more

* update new files

* more header updates

* style

* normalize comments

* address review comments

* [Py] Wrapper for LRN

* Add missing header

* Add default param values, docs and some unit tests

* Fixes

* clang-format

* Enable retrieving data from Constant in python.

* Test on wide value range.

* [Py] Use get_friendly_name for object names

* Enable BatchNorm op

* Enable function call op

* Enable get output element op

- Enable Padding op
- Supress multiline comment warning
- improve tox configuration

* Update avg_pool signature to be consistent with ngraph AvgPool.

- Change parameters order and use more appropriate paramter names.
- Add docstring.

* Single file with test for pooling operations.

- Add test for avg_pool for 2D case.

* Code refactoring.

- Rename parameters to be more verbose.
- Change function return type, to enable general usage.

* Add UT for ceil, ceiling and abs.

* Update docstrings and type annotations.

* Add UT for broadcast operation.

* Add UT for concat operation.

- Minor change: add optional node name function parameter.

* Code formatting.

* UT for constant and convert operations.

- Move broadcast test to test_basic.py file.

* Update function signature.

- Update to be consistent with nGraph object API.

* Review fix.

- Update type annotations.
- Update docstring.
- Change local variables names to be consistent.

* Refactoring - put some commonly used functions into util.py.

* Update convolution operation signature.

- Add docstring
- Update to be consistent with respective nGraph object API.
- Formatting in UT.

* Fix import statements under py27.

* Correct quotation marks.

* Revert changes: use AxisSet as a return type.

* Review fix.

- Update parameter names to be consistent with respective parameters of nGraph object constructors.

* Review fix

- Set seed for random number generation to be repeatable.
- Use numpy.allclose.

* Change serialize routine

* Change serialize routine call for onnx

* Run clang-format on constant.cpp

* Update function type annotation.

* rename directories to be consistent
* rename reference namespace to match directory

* add python dir to check-code-format and re-run apply-code-format on it

* 0644 -> 0755

* Remove unsupported linker flags for Mac build.

* Restructure python binding.
Put low level direct wrapper for ngraph c++ API into ngraph/impl
Move high level API from ngraph_api to ngraph

* Move CMakeLists.txt to its own PR

* Wrapped convolution, max_pool, replace_slice, slice

* Friendly API for Ngraph++ Python bindings

* code review

* Update incorrect ngraph version used in README.md and add ngraph version
in file ngraph_ref

* Update ngraph-neon

* Friendly API for Ngraph++ Python bindings

* Flake8 style fix

* Friendly API for Ngraph++ Python bindings

* code review

* Update setup.py.in to include ngraph_api.

* Update ngraph-neon.

* Create separate build scripts for python2 and python3.

* Update ngraph-neon.

*  Tox configuration

 * automatically create virtualenvs for Python 2 and Python 3
 * run unit tests using pytest
 * check that code style is compliant with PEP8 using Flake8
 * run static type checking using MyPy

 See README.md for usage information.

* Unary Ops

Includes:

* abs
* ceil
* exp
* floor
* log
* neg
* sqrt

* Added MaxPool test

* Added Convolution op test

* mv mnist to examples/

* Enabled reverse op test

* Review fixes

* Review fixes pt.2

* Update ngraph-neon.

* Update setup.py.in

* Update ngraph-neon.

* Enable broadcasting

* Enable div op

* Enable mul op

* Enable sub op

* Enable add op

* Fix style and types for tox

* Review fixes

* Add docstrings

* Up to date with private-ngraph-cpp

* Update ngraph_ref

* Update ngraph-neon.

* Helper function for Constant Node

* Minimum and Maximum Ops

* Add dtype param to ng.constant

* add LICENSE and switch to Intel Copyright

* Added conv brop ops

* Fix pep8 warning in copyright

* Added convolution test

* Fixed copyright header

* Additional style checks

Includes:
* Do not use mutable data structures for argument defaults.

* Helper ng.equal

* Update ngraph-neon.

* Added convolution brop test

* Fixed format

* Add max pooling backprop.

* Add missing change.

* Fix style and add a Node method.

* Update ngraph-neon.

* Implicit casting of scalar values to Nodes in API helper functions

* Implicit casting unit tests

* Support for ngraph boolean type

* Add AvgPool support. Test cases will be added later.

* Update ngraph-neon.

* Extend Node class to support binary operators

* updating cpp master

* Update ngraph_ref

* Update ngraph-neon.

* Extend Node class to support more binary operators

* Bugfix for Constant op test

* Fix for reversed operators

* Enable tanh op

* Flake8-Bugbear requires Python3

* Fix for node with empty shape

* Wrapping serialize function

* Update setup.py.in

* Update __init__.py

* Fix import for static type checking.

* Enable logical ops

* Update ngraph-neon

* Enable dot op.

* Raise an error when user provided data that we currently don't support.

* Change raised error type to more appropriate.

* Fix: remove superfluous user input checking.

Actually Dot function inside ngraph++ performs input validation. The error
checking we want to do should be within ngraph_onnx interface.

* Enable conv2d op

* Added convolution test

* Remove currently unused arguments.

Dot can determine reduction axes inside ngraph++ for <= 2D cases.

* Fix function signature type annotation.

* Updated convolution test

* Added argon backend

* Update wrappers to match ngraph 8ad86ab9

* Update ngraph-neon.

* Update ngraph to d2d0196b

* Update python binding.

* Limit number of threads for parallel build.

* Update python wrapper.

* Update AvgPool constructor.

* Update python wrapper.

* Add Reshape op.

* Better conv default parameters

* Enable sum op

* Add reshape operation documentation.

* Review fix

* Added gpu skip

* API - Enable Pooling Ops (#55)

* Enable AVG Pooling OP

* Enable MAX Pooling OP

* Review fix

* Update python wrappers.

* Fixing the default argument handling for serializer function

* Update python wrapper.

* API - Change default Runtime to CPU (#58)

* Fix RuntimeError: function fails to compile

* Change default Runtime to CPU

* Fix for tox tests on CPU backend

* API - Add serialize method to Computation class

* Sync ngraph-cpp part 1

* Sync ngraph-cpp remaining

* Sync continued

* Sync to ngraph-cpp part 3

* Sync -- Changing test file

* update ref spec

* update cpp ref

* Update setup.py.in and rename concatenate.cpp and concatenate.hpp to concat.cpp and concat.hpp

* Add missing source file in setup.py.in

* Wrap manager class for calling the reshape elimination pass

* header file change

* Rename pass to passes to avoid python keyword conflict

* file rename

* Add src file in setup.py

* private-ngraph-cpp renamed to ngraph-cpp

* API - Integrate Shape objects (#66)

* Speedup for broadcasting in python_api

* Wrap relu & relubackprop op

* Type in setup.py

* Wrap Max op

* Wrap Product op

* Wrap Allreduce op

* Wrap FunctionCall op

* include function header file

* Wrap GetOutputElement op

* Wrap Min op

* Update ngraph cpp master

* Wrap BatchNorm op

* Wrap Softmax op

* Fix in setup.py, batchnorm.cpp & softmax.cpp

* Add __repr__ function to Shape objects.

* updating commit hash in README

* Downgrade python to python3.5

* Correct implementation of __str__ and __repr__ wrappers for Shape object and their usage from Node and Parameter

* Update wrapper

* Update setup.py.in to match setup.py

* Update ngraph-cpp to 89da71d3

* Update wrapper.

* Add sum, max, min and prod interfaces to ng++ Sum, Max, Min, Product respectively

* Add unit test for max, min, sum, and prod operations.

* Update README: ngraph-cpp repo has been renamed to ngraph

* Change pybind11 as a source only CMake external project

* Update python wrapper.

* Move pybind11 download location and remove legacy setup.py

* Update wrapper.

* Change package name from pyngraph to ngraph

* Remove python submodule.

* Move .gitignore

* Fix compilation issue after serializer api update.

* Remove files accidentally added by last RP to wrapper repo.

* Add missing packages to setup.py.in

* Fix module path issue.

* fix goe (jayaram)

* Fix wrapper and ngraph_api tests

* Add minimal documentation for the python wrappers.

* Add test_reduction.py in ngraph_api

* Update python nGraph doc.

* Remove commented out code.

* update README.md, delete ngraph_ref, fix tox

* Revert "Add minimal documentation for the python wrappers."

This reverts commit 2e61c698bd15f3b08dc096d4b1774d0cb52041ee.

* Revert incorrect way of adding doc.

* Revert incorrect way of adding doc.
This reverts commit 2e61c698bd15f3b08dc096d4b1774d0cb52041ee.

* Move conftest.py and fix in README

* Add minimal docstring for python wrappers.

* Format Wrapper cpp code