* 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

* use line comments instead of multiline comments for license header

* update more

* update new files

* more header updates

* style

* normalize comments

* address review comments

* argmin

* address feedbacka argmin

* add new lines

*  addnew lines

* address adam's nitpicks

* scott's feedback

* fix unit tests

* Testing out some ideas for better error messages on AvgPool

* Add uncaught_exception() check to ConstructionAssertLogger dtor

* More general assertion class, not homed inside Node

* Minor formatting change

* NODE_ASSERT for type prop failure

* Produce lighter-weight DummyAssertionHandler when assertion succeeds

* New ctor for AssertionHelper that takes a single location arg; more const&-ness for the constructors

* Remove move constructor for AssertionHelper; fix broken test in assertion.cpp

* Miscellaneous improvements

* Templatized AssertionHelper so different exception classes can be used; implemented TYPE_CHECK_ASSERT around this
* Changed from a "stack" of locations to a single location (the stack was too complicated)
* Added "FAIL" classes/macros which do not take a condition

* Rename a helper function

* Cleanup, cruft removal

* Add test to make sure the assert helper has the lifetime we expect

* Missing includes

* type tests for reverse_sequence

* remove commented out code

* Add logical-and, logical-or ops

* Restore accidentally-deleted test

* add new ops to IE backend

* get_input_op -> get_argument

* more replacing

* more replacing2

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

* Replace using aliases with actual classes

* Add product op

* Add Max (max reduce) and Min (min reduce) ops

* Refactor arithmetic reduction ops to a common base class

* Fix PREFER_EIGEN codepaths in cpu_emitter

* fix Shape declarations

1. AvgPoolBackprop type checking
2. Padding for max-pool op and kernel
3. Max pool backprop kernel, and integrating everything with CPU backend/serializer
3a. Add optional backpointer from the max pool backprop op to the forward prop op

* Average pool type checking and kernel; type checking tests

* Fix and enable average-pool tests

* Docstring fix

* Extend AvgPool op type checking to support padding

* Untested code for padded avg-pool

* Unit tests for padded avg-pool

* Add CPU implementation

* Temp delete

* Docstring fix

* Docstring fix

* Add tests mixing padding and stride

* Temporary cut to ease merge

* Restore temporary cut for merge

* Empty commit to try to force CI to wake up

Sub-PR: image dilation tests (#362) via @adstraw 

* Definition and type checking for max pool

* Implement kernel, integrate into INTERPRETER, add a few unit tests, make function result type mismatch error message more informative (still need to update tests to reflect that)

* Temporarily delete unit tests to ease merge

* Temporarily delete unit tests to ease merge

* Restore deleted unit tests

* Fix a broken error message check in the unit tests

* Update to handle various TensorViewType-related things going away; add NGVM support

* Add codegen case

* Change various get_blah_shape methods to return const refs, and while we're here, make a similar change where it should have been done in convolution

* Use NDArray for max-pool tests

* Function can have multiple results
Remove external use of ValueType, TupleType, Tuple
Remove many external uses of Output and Input

* corresponding CPU backend changes

* Update master changes.

* Remove type arg from Function, add changes.md

* Merge changes.

* Move bodies to .cpp, add brief doc

* Merge CPU changes.

* Remove xla includes from non-xla files

* Remove xla from tests

* First part of xla tuple support

* change fprop_cache to assume multi-output bprop functions

* New wrappers for handling tuples with XLA

* Review comments

* remove old xla files

* fix merge errors

* hand edit models to use multi output instead of tuples

* remove ParameterizedConstant
* use simpler element Type definition
* Move TraitedType to NGVM directory

* remove use of ParameterizedConstant from unit test. Now using Constant instead. Constant is not a templated class.

* move ParameterizedTensorView to NGVM directory

* element_type cleanup

* Add and use get_shape() and get_element_type() on Input/Output

* Fix Output

* Formatting.

* Format.

* Use reference

* Convolution.

* Test GitHub-JIRA integration, nothing useful in this commit

NGTF-388 #comment Testing JIRA integration

* WIP on convolution

* Type checking for convolution

* Docstrings for convolution

* Add convolution reference kernel; it works on some unit tests copied and pasted from my old branch.

* Bugfix for dilated conv, and improvement to conv test generation

* Remove get_arguments calls from convolution stuff

* Add convolution to CPU; also a few fixes to the test generation stuff

* Add copyright header to convolution ref script

* Move copyright header to the correct place

* A few more tests

* Remove fallback behavior of blanking out the convolution ref file, since we're not generating it from the build system anymore

* Delete stale comment

* Merge stuff for the convolution ref script

* Clean up rebase mess

* Review comments

* Review comment (n_foo -> foo_count)

* tuple -> xla_tuple (+headers)

xla_get_tuple_element

get_tuple_element headers

adding get_tuple_element + fixes

get_tuple_element

XLAFunction; breaks tests

compiling libngraph.so w/ XLAFunction and Function; fixing tests is next

build & test fixes

formatting

m_arguments -> get_arguments (first step to hide m_arguments)

removing some get_arguments

get_arguments -> get_arguments_DEPRECATED

more DEPRECATED

formatting

m_arguments no more! at least technically

halfway

tests pass

xla_function.cpp/hpp

move defs into cpp files

get_input_argument -> get_input_op

formatting

* add xla_function.* and assert -> throw

* assert -> throw, remove cassert

* removing emitter.cpp; poor guy got left behind

* addressing feedback p1

* rename GetTupleElement -> GetOutputElement

* adding a comment to get_arguments_FOR_GRAPH_REWRITE_ONLY

* removing virtual off set_name

* WIP generalized dot

* Add some multi-axis 3D, 4D, and 5D tests

* Add test on some 'pretty big' tensors

* Reworked dot to have less flexible axis-pairing behavior

* Backprop for dot... and a fix for a dumb bug in CoordinateTransform

* Forgot to commit some stuff in merge

* Disable tests that currently don't work on CPU

* Fix temporarily disabled test that should pass on NGVM and INTERPRETER but wasn't due to new axis-selection convention for dot

* Remove obsolete ScalarTensorProduct kernel/instruction

* Review comment

* s/n_dot_axes/dot_axis_count/

* s/dot_axis_count/reduction_axes_count/

* Adapt CPU emitter dot fallback to new kernel

* 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

* 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

* Do checking, tensor view spreading and type propagation during op construction
Better names for builtin classes
replace set_value_type with assert_value_type, which checks if type is as expected

* Review comments

* Review comments