[MKLDNN][JIT][AVX512] Elementwise Mul

Fix gpu load model and demo_ci on trt

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add allocator.h copy

disable two openblas test temporary

Implement leaky relu converter from fluid to tensorRT

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Add python example for resize_nearest Api

Optimize the stack operator

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* Initialize the elementwise plugin.

* Implement the basic CUDA kernel of elementwise plugin.
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jitcode act support all size

Introducing MKL to softmax for inference

* refine GraphCheck
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* fix ci fail
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This reverts commit be506703.

add api example of brelu, leaky_relu and soft_relu

* Modify some infer-shape in compile-time.

[WIP] Correcting and extending MKLDNN residual connection fuse pass

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* 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)

Fix tensorrt plugin cmake dependency, test=develop

Rewrite allocation

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* Convolution fusion operator.
* Clean code
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The allocator.h header file is required for C-API inference applications

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