* revert to shared argon lib

* installs argon headers

* -DINSTALLED_HEADERS_PATH=${CMAKE_INSTALL_PREFIX}/include

* formatg

* remove debug info

* revert

* revert back to cpp-master

* Fix warnings in zero-sized tests; fix zero-sized tests return vector type for comparison ops

* Revert changes to cpu_emitter

* Enable CPU backprop tests

* Fix to dot codegen for cases where n_reduction_axes != 1

* test relu fusion for argon backend and enable permutation over max op

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

* modify existing autodiff unit tests to test fprop cache

* cleanup

* fix compile error introduced with bad merge

* remove invalid negative/negative backwards power test

inline

Inliner pass + tests

debugging

fix inliner failures due to the fact a random function is picked as an outermost one

copyright headers

fix clone of function with multiple outputs

* simplification pass

* serializer change to test models

* some small test fixes

* addressing Scott's feedback

* missed one nn

* formatting fixes

* simplification -> reshape_elimination

* bprop for avg pool

remove debug statements + formatting

* fix CPU test failures

* numeric tests

* use make_shared; unprotect c-tor

cblas_gemm working on mlp

rebase & small fixes

enable debug output

support replacing function's outputs

productizing CPUFusion

addressing Bob and Jayaram's feedback

removing json used for simplification tests

adding comments

fixing formatting errors and removing dead code

TODO msg

removing serializer changes

* Drwebb/gpu backend dot op (#387)

* GPU Dot prod emitter switch statement

* cuBLAS dot kernel call

* Flush out arg substitution into gpu dot kernel call

* Drwebb/gpu backend dot op (#392)

* Take in CodeWriter into gpu op emitters

* Introduce GPU function gen based on pass functions

* Additional gpu emitter stubs

* link cublas in to unit test and ngraph

* Use static code gen methods for GPU, add new GPU op stubs

* use pass manager to declare functions / cublas Updates

* Prune down gpu_external_function wip

* Switch back to GPU tensor views in GPU backend

* Pass in cublas handle to GPU external function

* cuMalloc memory in gpu tensor view

* Use cuda runtime malloc and free for tensor view managment c

* change GPU tensor view init, and use GPU tensor view for GPU call frame

* include headers as system dirs

* GPU tensor printing utility function

* cublasSetPointer to device mode / Fix copyright notification lowercasing

* Passing GPU dot product test using cuBLAS

Clean up

* Changes from review

* Remove TupleType, ValueType

* Fix compile error.

* fix convlution reference script

* convolution backprop

* cleanup

* fix build warnings

* Missing include

* fix build warning part 2

* move numeric_compare to its own header
code review feedback

* fix build warnings 3

* fix build warnings 4

* clang-format

* cast to avoid implicit cast warning

* wip

* using namespace cleanup

* wip

* wip

* remove get_vector from runtime::TensorView class as it was for unit test only

* cleanup

* move writting vector to runtime::TensorView to the unit test dir

* merge fix

* PR review change

* update from PR comment

* update changes file

* cleanup in-memory header files

* add switch to enable memory sanitizer (works like valgrind)

* removed header file cleanup as it was causing a segfault on program termination

* Add mention of blob ref of original file from caffe2

* Mention location of source listing originally from LLVM project

* 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

* add test for empty tuple

* fix null function breaking

* add mxnet seq2seq forward and backward

* add benchmarks for seq2seq forward and backward

* Numerically stable sum so we can pass mxnet unit tests

* Add a small initial residual

* Initial GPU_ExternalFunction implementation

Other changes:

Add GPU runtime to same cmake block as GPU, include CUDA headers if GPU enabled

Initial passing (a+b)*c test

Properly link cuda libraries

Simple GPUTensorView implementation

Initial GPU emitter

GPU codegen initial function gen, no kernels yet

Rename GPU emitter and tensor_view_wrapper to match naming convention

* GPU external function based on BASE

* Fix stray base -> gpu

* TensorViewWrapper -> GPU_TensorViewWrapper

* Copy over emitter from base transformer

* Fix for naming dense layout

* Copy kernel emitters from base -> gpu and strip out kernel_utils

* Add aliases to GPU_TensorViewWrappers

* More fixes for naming descriptor::TensorViews

* Move in call_frame implementation from base -> gpu

* apply code format

* GPU codegen running A+B*C

gpu emitters
gpu ctx setup cuda_module kernels
Remove GPU_CF perf counters
Use gpu kernels in external function
Add GPU 1d dot test

Review Changes:
* Remove CPU specific kernel emitting method bodies

* Use copy_data from test/util.cpp, uncomment compileTest

* Use test_utils copy_data function

* Grab function name from pass manager for def, clean up indentation

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

* add interpreter nan check option

* add unit test

* the first stab at pattern for sum

test refactoring, debug msg clean up, formatting fixes

removing v1 and cleaning up v2 + formatting

rollback the changes in reduce_ops

rename v2 -> sum_pred

remove unused funcs

switch to new c-tors

remove TensorViewType

removing an assert

fix a docstring to match a c-tor

* fixes after rebase