* collector

* keeping track of inputs; simplifying a merging stratey; adding LKGraph

* LoopKernel Collector

* address feedback

* address feedback 2

* address feedback 3

* add lambda handler support for logger
* reuse logger function

* Added blank convolution kernel and refactored coordinate transform kernel helper.

* Added op::Reshape to the CUDAEmitter.

* Added 2-Nd tiled convolution.

* Bug fixes with data_dilation and filter loop. Still need to add test for coverage of register tiling.

* Styling.

* Removed some comments and code added for testing.

* Some tests became enabled in merge, removing them.

* IntelGPUBackend: create_tensor

* 9 tests are passes. List updated

* workaround for depthwise convolution

* fixe error msg

* Reshape bias to 1D for conv + bias bprop fusion

* Reshape goe2 back to 2D before replacing

* Reshape 4d

* Support dimshuffles/transpose with MKLDNN

* Addressing PR Feedback

* Use Eigen for 3D dimshuffles

- fixes segfault issue for GNMT model execution through ngraph-mxnet

* enable multi datatpye support for Cudnn. refactor binary ops using cudnn

* fix bugs

* add tests to skip list that CUDNN does not support

* not int support on cudnn for backward pooling

* no GPU.dot_4d_5d_multi_axis_big_fp64_VERY_SLOW test anymore

* clang format

* throw if datatype is int8 or int32 for backward pooling

* comments

* fix list in unit_test.manifest

* add type support for alpha, beta

* fix bugs

* datatype support for alpha, beta

* missing ()

* clang format

* batchnorm backward bug fix

* remove debug info

* change member function name to snake case. remove comments

* use nullptr instead of NULL

* code style, use cuDNN everywhere in comments

* add cudnn host parameters memory manager.

* change name to allocate_by_datatype

* compiled

* debug

* fix bug: using list instead of vector, vector address will change each time it resize

* add CUDNN_DATA_UINT8 and CUDNN_DATA_UINT8x4

* constant broadcast folding

* code review feedback

* Move maxpool and avgpool into CudaKernelBuilder and add cache parameters to kernel name for broadcast which are required for correct lookup.

* Styling.

* Add space before avg_pool.

* add gpu_timer to external function

* compiled version

* working version

* using block_begin and block_end

* add the missing '
;'

* get_get_output_elements

* fix comp error

* address scott's feedback

* group conv fix

* group conv fix

* fix typo

* 1. Added mkldnn support for Softmax
2. layout assignment for mkldnn softmax

* added assert to check softmax axis for mkldnn

* onnx: add importer cmakes
* onnx: use file(DOWNLOAD ...) command to download onnx.proto
* onnx: add Protobuf minimal required version

* cmake runs for interpreter

* more updates towards building on windows

* inplace compute

* fix warnings

* Initial support for convolution sum fusion

* Added in-place support for conv sum fusion and test cases

* reverting spurious changes

* Bug fix to account for inplace input in conv sum fusion

* fix compilation error

* Addressed PR feedback

* First IntelGPU backend based on clDNN with empty functions

* Backend/API:Conflicts resolved and comments addressed

* editing how to execute computation file for clarity and linenos

* Add placeholder for runtime docs

* Update section on backends, interpreter, and FPGA options

* add updated master to fix python_ci

* Weird autosummary issue reverted

* Clarify new section

* fix up docs

* Update pattern matcher doc based on Nik's presentation slides WIP

* Update doc structure and examples

* remove old folder

* Fix broken Tensorview refs

* . helping people document code more efficiently

* PR review edits

* Finish PR review comment fixes so far

* split patternmatcher PR

* small fixes to PM docs

* remove mark tags from source code

* Final PR cleanup edits

Moved maxpool padding to GPUAllocator, changed pad_required bool to include asymmetric padding check, and remove an error in gpu_emitter where allocation was happening twice for temporary memory (merge failure). (#1152)

* updated to work with llvm 8.1 that tensorflow is built with

* sane extensions on the mac

* not doing rpath on apple

* apply style

* inplace compute

* fix warnings

* address bob's feedback

* bob's feedback 2

* bobs feedback 3

* address bob's feedback 4

* remove reference to ngraph core code from codegen. add stand-alone implementations of needed funcions

* fixed potential pointer leak

* clean up file_util

* more file util cleanup, removing unused functions

* interpreter works on mac

* CPU and INTERPRETER build and pass unmit tests on macos

* move get_directory to file_util

* cleanup

* switch to using has_class for op::Skip

* apply format

* adding constant propagation pass

* adding test/constant_propagation.cpp

* template make_constant_reshape function

* code review feedback

* add missing files

* serialize logic for reverse_sequence

* Added serializer support for Softmax

* Fix bug with concat for 0-size tensors

* Simplify test for zero-length axes, per PR comments

* [doc] Fix code snippet in derive-for-training

* Fix another code snippet in derive-for-training