* bn pattern

* 1. add conv bn fusion pass(conv2d, depthwise_conv2d)
2. modify the graph to ssagraph
test=develop

* enable reshape&reshape2 op and add unit test

* enable scale op and add unit test

* fix XShape checking for reshape2 unit test
test=develop

* remove op_desc.hasInput(..) and op_desc.hasOutput(..) to adapt X86 platform
test=develop

* remove target() and precision() from softmax, reshape, reshape2 and scale op
fix CopyDataFrom() of TensorHvy
test=develop

* alloc memory then copy tensor's data during invoking TensorHvy::CopyDataFrom(...)
test=develop

* enable softmax op and add unit test

* move softmax sub-functions to softmax.cc, and move basic math functions to funcs.h

* add fc unit test

* refine eigen fc
add cpu info, arm context
init packed sgemm

* enable packed sgemm

* add arm math

* pass fc ut

* follow comments

* add cmake

* update

* fix proto pd

* fix compile

* tmp save

* fix protobuf device version

* fix protobuf and host compile

* fix std c++11 support on android

* change array to vector to fix ndk c++_static

* fix rt and add dockerfile

* fix android compile issue with latest merge

* init arm kernels

* enable run on arm

* update format

* update format

* update format

and #pragma once in edited headers

add #include<string> in edited headers

test=develop

* link IR graph to analysis graph

* add clean code and update

* add infer_clean_pass

* add ir_pass_manager

* support fc fuse executation

* fix ir circle

Reduce one level of inheritence.

add doc

* Use Builder Chain to decorate new builders. It is easy to extend
  builders.
* Make graphviz path as a build strategy, not a FLAGS.

* cpplint test and add tesnor_py_test.cc

* Update

* Update