* enable more gpu test

* enable more

* more test

* more tests

* add gpu product

* enable test, change initial value for product

* - Added pattren matcher for LSTM cell

* WIP added support to replace lstm cell instead of subgraph

* WIP LSTM pattern matcher, fuses recurrent cells

* WIP added RNN CPU op

* WIP mkldnn emmiter code for fprop RNN

* WIP RNN mkldnn integration
- Added mkldnn kernel for uni directional LSTM in the CPU emitter

* add a getter for root node

* recurrent graph rewrite

* fix perms, rename match_root -> get_match_root

* fix comp errors

* make match_root return the topmost match; fix tests

* - WIP GetOutputElement for handling multiple LSTM o/ps
- use RecurrentGraphRewrite for replacing node after matching LSTM cells

* WIP LSTM multi Output + debug prints

* moved LSTM fusion to cpu_fusion

* WIP added RNN superfused OP

* WIP towards RNN layer fusion

* WIP multiple output slicing RNN

* WIP RNN mulitple o/ps fusion across layer

* WIP corrected input params for fused RNN OP

* concat corrosponding param's across differnt LSTM to form inputs to RNN fused op

* i) Added  test case for RNN kernel ii) runs without error's

* refactored and moved LSTM class to standalone file

* Rename RNN -> Rnn , LSTM -> Lstm

* WIP replace lstm slices to the consumer op

* Slicing works on multiple RNN layers

* fixed all bugs

* - Added CPU RNN Recurrent Fusion
- Added CPU LSTM fusion
- removed debug code
- style fix

* - Added support to compute src_iter and dst_iter instead of taking zero_memory_desc
- Added unit test to compute one LSTM cell

*  changed RNN op signature to accept number of states in basic unit of RNN(GRU/LSTM/ vanilla RNN) cell

* added sanity checks for RNN op

* Fixed issue related to patching the graph while replacing the RNN sliced outputs

* Fixed issue to feed the input symbols in the order X0, X1, ...Xt to the RNN op

* Added unit test for multi layer RNN fusion

* Removed debug statements

* Added mulitlayered serialized graph ii) fixed compilation issue

* Addressed PR comments

* i) WIP MKLDNN layout for RNN Op ii) added test case for INTERPRETER v/s CPU Rnn results

* - Fixed bug w.r.to src_layer feature size in rnn mkldnn emitter code
- Refactored cpu_fusion rnn test case

* merge origin/master with branch pruthvi/lstm_fusion

* style fix

* Added test case for multiple RNN layers

* i) make rnn as mkldnn op if it meets the constraints ii) assert if rnn is not mkldnn op

* fix unit test failure

* - Added support to reliabily identify the hiddent state and input symbols from the nodes collected by Pattern matcher
- Fixed failing unit tests

* style fix

* - removed "node type" dependency to replace the intermediate LSTM outputs

* Addressed PR comments

* Fix unit test

* - added MKLDNN emitter for LSTM op
- graph pass to concat LSTM input recurrent state tensors
- CPU layout assignment for LSTM Op
- Fixed bug in rnn/lstm unit test's
- made changes to use replace_output instead of replace_node for replacing matched graph nodes in LSTM/RNN fusion pass

(cherry picked from commit d16fc709265cc0a73e60c6d5f6d2878e7b908aca)

* style fix

* Renamed passes and style fixes

* 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

* remove renamed file

* sentence structure

* Batch norm folding

* Addressed PR feedback

* Style fixes

* Style fix

* use reference kernel for reverse_sequence for int

* move tests

* resolve CI errors

* TEST to NGRAPH_TEST

If user manully provide MKLDNN_INCLUDE_DIR and MKLDNN_LIB_DIR, don't
build mkl-dnn and just add a dummy external project "ext-_mkldnn" to
satisfy target dependency for the rest of the build.

* give frontends some flexibility over fusions they would like to run

* address jbobbas feedback

* Make sure that generating pyapi does not throw errors due to directory structureor linenos

* Update basic.py

* Output warnings and compiler errors from NVRTC, updated avg_pool kernel for cuda 9.

* Added defgaurd to only apply defines for deprecated function if CUDA_VERSION < 9000. Updated shfl_xor invocation.

* Make sure that generating pyapi does not throw errors due to directory structureor linenos

* update docs

* one blank line instead of two

* blank line error resolve

Move temporary buffer pools to CPU runtime context to avoid static variable destruction issues with clang (#990)

* Enable NNP reverse build, clean up ngraph repo

* clean mkldnn cmake

* add reduce op

* fix bug

* fix bug and enable tests

* hack solution to get reduction function in reduct op

* hack version working on all tests

* fixed the reduction checking process

* clean up, rename

*  remove commented code; add comments

* throw useful error when Backend library fails to initialize

* add dlerror to error message when opening backend shared lib

* Generate binary representable floats for input data

Removed ReLu activation present just before softmax.
(It's not a good idea to have ReLu > Softmax immediately. The test accuracy of the model is now much better.)

* move nop elimination pass to nGraph and add broadcast elimination

* fix pad test bug

* remove graph visualizer and clean up includes in nop eliminate test

* code format

* Final PR review edits plus repair abc.cpp example docs that broke when code was added

* Word

* type tests for reverse_sequence

* remove commented out code

* test_control in util