* Simpler kernel for broadcast

* Fixed behavior for integer divide-by-zero, added unit tests

* Strided and higher-dimensional slice (just tested to 3D)

* Higher-dimensional sum

* Replace-slice de-Eigenized; NOT TESTED AT HIGHER DIMENSIONS YET

* Correct sum behavior when eliminating zero-length axes; add unit tests; also, add higher-dim unit tests for replace-slice

* Higher-dimensional reduce, 'cause hey, why not?

* Remove BroadcastScalarInstruction

* Adding test for an observed failure at trivial sum on 5-tensors

* De-Eigenized and higher-dimmified concat

* Replace 'auto' in the kernels

* temporary delete to ease merge

* Re-insert tests that were deleted to ease merge

* Refactor view-iteration

* De-Eigenize reshape

* Rework divide kernel to use std::enable_if to distinguish between floating and non-floating types

* Update docs to reflect newly implemented cases in several ops

* Rename parameters to View for more clarity; remove axis_walk_order (it's redundant)

* Formatting

* More terminological rejiggering

* De-Eigenize scalar-tensor product

* De-Eigenize dot

* Update docstrings

* Remove 'implementation status' tables from docstrings

* Change step -> strides everywhere for consistent terminology

* Formatting

* Replace asserts in view.cpp with exceptions

* Fix typo

* Fix incorrect result type in dot1d test (ouch...)

* Add missing support for Float64 to ngvm/external_function

* Add int16 and uint16 (how was this missing?)

* A few more additions relative to the missing element types

* Disable tests that will not pass on CPU; they can still be run with test/unit-test --gtest_also_run_disabled_tests --gtest_filter='DISABLED_NGVM.*'

* Move project_ and inject_ functions to common.[ch]pp, not view.[ch]pp

* Rename View to CoordinateTransform

* Add prefix ++ and += to CoordinateIterator

Work so far on de-Eigenization

* move replace_node to util

* static run_matchers_on_nodes_list

* switching to map

* formatting

* addressing Scott's feedback and fixing warnings

* more pattern matcher refactoring

refactoring cont'd

* Add numpy_transpose to the builder for numpy-stype transpose operations

* fix docstring

* make sure to throw the error

Merge branch 'aprocter/de-eigenize' of github.com:NervanaSystems/private-ngraph-cpp into aprocter/de-eigenize

* add json lib 2.1.1

* add json serialization of graph

* cleanup

* enhance unit test

* remove FunctionProvider class and replace with virtual get_function() in Node

* remove json code from element_type

* move serialize to be directly in the ngraph namespace. cleanup header file.

* add cname check to element::operator==

* add using json = nlohmann::json

* Autodiff for abs

* Formatting, more tests for abs

* Cos autodiff; also a clarifying comment in the abs test

* Forgot cos.cpp

* Sin autodiff

* Again, forgot to add sin.cpp  :/

* Tan autodiff

* Minor formatting tweak

* Commit partial work on select backprop so I can run valgrind on the server  :/

* Fix boolean thingy so it works on Linux

* Autodiff for ceiling, convert (untested), floor, sign. Fix unit test for tan. Implement ceiling, floor in VM.

* Fix bug in abs/sign unit test ranges

* Add multiplicative inverse and square-root ops (needed for hyperbolic trig autodiff)

* Better formula for sqrt adjoints

* Autodiff for hyperbolic trig ops

* Forgot to add cpp files for hyperbolics

* Remove inv (don't need it after all); also formatting (oops)

* fix bug with Convert autodiff

* Autodiff for concat

* Restore the accidentally-commented-out unit test for abs

* Formatting

* Fix 'unordered_map.at' exception when Adjoints::Adjoints visit a node that has never been add_delta'd; remove workarounds for that bug

* Fix erroneous 'not implemented' docstring for op::Not

* Autodiff for sum

* Checking in broken support for replace_slice so I can test it with valgrind on the dev box

* Fix unit test bug with tensor initialization; formatting

* Implement replace-slice in CPU backend

* Autodiff for Slice and ReplaceSlice

* Tweak docs for ReplaceSlice

* Remove no-longer-needed cast of arg list to runtime::TensorView