* Initialize the elementwise plugin.

* Implement the basic CUDA kernel of elementwise plugin.
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* refine GraphCheck
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* fix ci fail
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This reverts commit be506703.

* Modify some infer-shape in compile-time.

* Optimize layer_norm operator with AVX intrinsic functions

* Revert the wrong modifications

* Implement the jit kernel for layer_norm operator

* Add math headfile to fix the compile issue (test=develop)

* Add math headfile to fix the compile issue (test=develop)

* Fixed the intrinsic headfile issue (test=develop)

* Fix the conflicts (test=develop)

* Revert for CUDA compiler (test=develop)

* Fixed the cuda depency (test=develop)

* Fix the marco issues (test=develop)

* Convolution fusion operator.
* Clean code
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* fix dist deps test=develop

* update test=develop

* update test=develop

* update test=develop

* update test=develop

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fix compile error on windows

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* wip simplify operator framework

* wip

* wip

* done test=develop

* clean test=develop

* fix test=develop

* fix deps test=develop

* fix cpu build test=develop

* fix tensorrt build test=develop

* fix tests test=develop

* fix test=develop

* fix cpu build test=develop

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* fix space_to_depth_op unicode problem

* test=develop

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- Added profiling to softmax functors

- MKL based softmax inference op

- Fix to softmax compuation via MKL

- cleaning

- Cosmetic fixes to softmax MKL

- Fix to ON_INFER lack of propagation

* implements reachability check between identity node and non-identity argument to elementwise_add
* implements handling identity node as x and as y argument to elementwise_add

* Fix truncated normal.

* Fix.

* Make nce support more distribution.

* Fix API.spec.

* Fix python API.

* Fix.
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* Fix API.spec
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* Fix sampler.

* Fix order of arguments in python API.
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