* Remove validation checks from performance critical code paths and skip layout propagation to inputs

* Add templated call method to backend for cases where users need input validation

* Added missing return

* fix python api compile error due to ngraph api change.

* disable parameter validation in python api

* make validating call a separate call rather than templated

* Update Dockerfile

reverted the INTERPRETER CHANGES

* Added a conditional for a prebuilt argument based on task type

* Added default arg and also conditional cmake argument

* Update .travis.yml

* Update Dockerfile

* remove test that relies on CPU if CPU is not built

* fix docker build

* change onnx to use INTERPRETER

* run unit-test-check

* don't propagate outputs inplace to constants

* apply formatting

* refactor for style-check

* fix typo

* onnx: add 'constant' operator
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnx: getting attribute value by name
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

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

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

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

* onnx: add 'split' operator
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

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

* onnx: add initial unit test for importer
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnx: initial implementetion of operator' set
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* [WIP] Unit test for split operation.

* Fix Split Op bounds calculation + UT

* clang format

* Split Op with variable parts unit test.

* Remove unused headers

* Add missing ngraph install prefix for cmake in travis Dockerfile.

* Remove -Wno-zero-as-null-pointer-constant

* Code review

* Apply clang-format-3.9

* Add missing onnx_import interface files to CMakeList

* Copyright notice format

* Dex non-mkldnn version of clipped relu

* Change to static_cast

* separate backend updates for shared and static libs into separate PR

* add search for shared libs to statically linked libs

* update per review comments

* update per review comments

* Update Dockerfile

Added -j 4 to speed up build times

* Update Dockerfile

j -4 comes across the same error as j -8 so moving this to j -2

* Update Dockerfile

* Update Dockerfile

* experimenting with less number of tasks

* Update Dockerfile

* Added cmake changes to use the INTERPRETER instead of cpu.

* Update .travis.yml

* Add cudnn host data param case for CUDNN_DATA_INT8x32

* Default case.

* break

* def guards

* removed def guard for ci test.

* put def guards back

* Remove default to make clang happy.

* Remove clang default switch warning on cudnnDataType_t enum.

* Formatting.

* Added Wswitch-enum supression.

* Back to switch, remove pragma clang suppression.

* disable one more switch compiler check

* Remove default break after throw.

* Fix allocation size in batchnorm kernel

* added missing brackets

* Support GPUKernelArgs in Elementwise-collective and Nd-Convolution.

* Update op::ReplaceSlice to use GPUKernelArgs and unroll coordinate transform loop.

* Formatting.

* Moved function signature for global kernels back to emitter body.

* Formatting.

* added DEX support for BatchNormRelu

* - templatized build_batchnorm_emitter

* IntelGPU backend: Concat operation implementation

* Several remarks were fixed

* Remaining remarks were fixed; List of tests for INTELGPU was updated

* PR1363: Minor Fixes

* Make pool alignment a constexpr

* Fix ODR-use

* Add an option to exclude the first iteration

* Switch to warmup iterations

* Cleanup

* - Added DEX support for BoundedRelu
- Refactored bounded_relu in cpu_emitter to use mkldnn_emitter helper methods

* remove unwanted templatization for bounded_relu mkldnn_emitter

* - Added DEX execution support for Lstm
- Added DEX execution support for Rnn

* style fix

* - used mkldnn_utils helper function for building DEX Lstm memory desc

*  - used mkldnn_utils helper function for building DEX Rnn memory desc

* addressed PR comments

* - Refactored rnn & lstm cpu_emitter code to use the mkldnn_emitter helper methods

* Re-align docs with code example for mnist

* Also fix dist_mnist and add context highlight

* IntelGPU backend: Tests updated. Code refactored. No algorithms changed.

* PR1362. debug code removed