* fix detailed timing flag

* more detailed info

use op::Constant's data rather than emitting the data in the generated cpp code. This make compile times for trained models something like 100x faster. (#624)

Add mkldnn layouts to Maxpool and Maxpoolbackprop

* Refactored unary elementwise ops into a single interface
that is adaptable to elementwise ops with arbitrary number of inputs.

* Renamed EmitUnaryElementwise -> EmitElementwise.
Implemented first binary elementwise op (Power).

* Refactored some of the boiler plate code for emitting cuda kernels to nvrtc
out of the emit functions and into the CudaFunctionPool static singleton.
CodeWriter now saves cuda kernels to ./gpu_codegen.

* Added ops Divide, Subtract & Sign to the GPU transformer.
Subtract and Sign both use custom device helper functions which
have math kernels defined for the op in gpu_cuda_kernel_ops.hpp,
and which are built by a new get_device_helper function.

NGMX-296 Convolution + Bias with MKLDNN

Also fixed conv+bias cpu layout bugs.

* fixed memory leak.

* clang format.

* update gpu_emitter use template

* add template

* removing extra copies due to op::Result

* remove comment

* fix comment

* switch to a flag version

* add copyright header #pragma once

* add impl file, rename result_elimination.hpp to result_copy_elimination.hpp to match the opt name

* add cpp suffix to result_copy_elimination

* use member in-class member init

* - Added sigmoid fusion pass
- added mkldnn emitter code for sigmoid

* - corrected sigmoid expected values
- add layout assignment for sigmoid op

* - added assert's in cpu fusion for sigmoid
- style fix

* remove debug prints

* NGMX-371 #comment addressed PR comments - Added sigmoid unit test case with 3D input ii) support in cpu_emmiter for sigmoid to handle all input shapes

* NGMX-371 #comment use shape_size() to calculate the 1d input size

Jbobba/batchnorm layouts

* remove broadcast from matmulbias

* fix comments

* working gemm-based broadcast

* fix clang warning

:

Merge branch 'tfl/gpu_emitter_template' of github.com:NervanaSystems/private-ngraph-cpp into tfl/gpu_emitter_template