* remove custom install path

* fix travis build

* Add NGRAPH_INSTALL_PREFIX as an alias for CMAKE_INSTALL_PREFIX to make our unit tests pass.

* change install path setting

* open only the unversioned library but check that it is built against the correct version of ngraph

* review comments

* add CUDA_SAFE_CALL to all cuda calls

* add CUDA_RT_SAFE_CALL

* add null ptr check before free

* init pointer to nullptr

* consolidate conditions

* CPU Direct Execution: Implement ConvertLayout and refactor

* CPU Direct Execution: Implement Convolution

* Enable retrieving data from Constant in python.

* Test on wide value range.

* Faster liveness.

Memory manager optimized for non-sharing of tensors.
Add pass manager profiler.

* Move pass profiler to a separate PR

* Move Memory Layout optimizations to a separate PR

* use find instead of count

* Cache some generated functions in backwards tests to speed performance

* more caching

Better CI performance

* Memory Layout pass optimizations

* rename SIMPLE memory allocator

* complete the new backend construction/destruction API
* close each dlopen
* don't close libraries for now as it causes python to segfault

* 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

* Handle corner cases for conv sum fusion. Skip computation reuse while using an inplace kernel

* Check node argument for in-place relu assignment

* Addressed PR comments

* Addressed PR feedback

* Usage of mkldnn reshape updated

* update reshape condition for mkldnn

* Add a test case and order in which conditions are checked

* collect matched nodes

* clear m_matched_list

* tests

* address feedback

* Fix short markup

* Minor adjustments, license requirements.

* extra *block_size

* change grid_size to threads

* hacking to support dot of 3 by 2 inputs with gemm_batch.

* clean up.

* nbench cleanup

* update style

* tf group convolution

* change perms

* onnx: add core wrappers
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnx: add '\n' at end of files
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnx: fix compilation with clang
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnx: fix code style
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* declare sigmoid for core fusion

* add simple test for sigmoid

* info fusion status

* cp op as main op

* builds as expected

* move sigmoid fusion code

* add reference kernel

* sigmoid bprop reference kernel and clang-format

* add delta to bprop

* fprop called

* compiles bprop

* move tests

* serializer support

* address comments in code

* add doc

* naming similar to core ops

* fix failing test

* fix failing test

* address clang issue

* more changes

* change test macro

* 1. Added MKLDNNN BoundedRelu op support for Relu6
2. CpuLayout && CPU assignment pass for BoundedRelu Op
3. Unit test inter v/s CPU for BoundedReluOp
4. MKLDNN and default emitter code for BoundedReluOp

* Removed Debug prints

* 1. Added support for boundedrelu to work on any constant literal
2. unit test case for rank2, rank3, rank4 for bounded relu without serialized graph

* Removed is_six() method

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

* Reshape goe2 back to 2D before replacing

* added shape checks to validate conv+bias op.

* removed conv+bias backprop merge for separate PR review.

* fixed conv_bias_bprop test.

* minor changes to error messages.

* add gpu_timer to external function

* compiled version

* working version

* using block_begin and block_end

* add the missing '
;'

* move slice to cuda emiter

* change size_t to uint32_t in kernel

* working version

* change block size from 1 to 64

* fix bugs

* nthreads need to be size_t in broadcast op

* add rank to kernel name hash

* update slice in convolution

* resolve index conflict

* change align to align_to_blocksize, add overflow check

* add gird size check and fix pool merge bug

* code style, change names

* - Fixed replace output for the multi layer recurrent cell state tensor output
- Modified rnn add_output to consider direction and n_layer while calculating the output size for mkldnn dst_layer and dst_iter

* fix unit test failure

* 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.