add sequence_pool_concat fuse pass

add fuse kernel

add var_conv_2d + relu fuse pass

* [XPU] add transpose bridge and unit test

test=develop

* [ARM] change global pooling choose kernel policy, test=develop

* Support Mask RCNN2 (#2588)

* add cv image process

* fix arm liunx build error

* add LITE_WITH_CV defien to make cv, test=develop

* fix cv format, annd add describe in utils/cv

* delete some Meaningless comments, test=develop

* set LITE_WITH_CV=OFF in build.sh, test=develop

* delete cv_enum.h in utils/cv, push the contents in cv_ennum.h to paddle_image_preprocess.h, test=develop

* according to reviews to redefine paddle_image_preprocess.h, test=develop

* add detailed note of flipParam, test=develop

* fix format in paddle_image_preprocess.h, test=develop

* fix error when build x86. test=develop

lite_with_X86 does not contain lite_with_cv

* fix cmake error in llite/CMakeLists.txt, missing mkdir cxx, test=develop

* according to review change, test=develop

* chang grb to rgb, test=develop

* add elemetnwise mul constant elimination and deconv+relu, deconv+batchnorm fusion, test=develop

* fix format, test=develop

test=develop

* [LITE][OPENCL] Add depthwise_conv_3x3 opencl kernel

* [LITE][OPENCL] Add depthwise_conv_3x3 opencl kernel. test=develop

* [LITE][OPENCL] Add Pool opencl kernel. test=develop

* update profiler, test=develop

* warm up times of profiler, test=develop

[LITE][NPU][XPU] Refine subgraph pass, and support NPU/XPU model generation at execution time (#2576)

* add 3 layout for opencl image. test=develop

For multiple-use parameters, only copy once

修改了选kernel的逻辑，默认从模型文件中读取出lod_tensor的data type，在static_kernel_pick pass中如果kernel输入输出的类型与读取的data type完全一致，则选择该Kernel的概率增大。

- 增加 从模型文件__model__读取lod_tensor的data type到cpp::vardesc

- program中增加unordered_map<string, type>字段，并在 Program::PrepareWorkspace中对该字段赋值

- 修改了node.h文件，将const Type* 更改为Type*，并在SSAGraph::Build过程中为符合条件的type*赋值

- static_kernel_pick_pass中添加新规则，如果kernel的输入类型输出类型与__model__中存储的类型的一致，则score*=2。

- 支持模型中用到sequence_reverse_float kernel（输入输出均为float）和sequence_reverse_int64 kernel（输入输出均为int64），能够根据输入输出type选kernel

* add arm split lod tensor, test=develop

* add arm merge lod tensor, test=develop

* update split merge lod tensor, test=develop

* add reduce_prob op, test=develop

* support mask_rcnn succeed, test=develop

update cuda kernels to run content-dnn model

* init resnet cuda int8 support
test=develop

* refine cuda unit test
test=develop

* add the forgeted file.
test=develop

test=develop

[LITE][PASS] Fix static kernel pick pass, if op is not int8, but kernel is int8. test=develop (#2526)

* [NPU] add reduce_mean op bridge and unit test

test=develop

* refine xpu_pass place order; add bridges use

test=develop

* [XPU] update conv padding

test=develop

* [XPU] exclude xpu for passes

test=develop

* fix conv padding compute

test=develop

* [NPU] update 2-pad to 4-pad for conv and conv_transpose

test=develop

* reuse UpdatePadding code

test=develop

[LITE][ALL] Refine NPU and XPU passes, fix the pass matching based on the bound targets and excluded targets (#2477)

* add nhwc to nchw

* add layout in funcs

* change layout as extra, test=develop

* change make, test=develop

* use template class method to update layout NNCHHW and NHWC transform, test=develop

* fix cmake error, set layout to extra, test=develop

* fix test_layout_compute_arm test, its extra

* layout is extra, test=develop

* fix error in kernels/arm/layout_comput.cc when register kernel, DataLayout must be NCHW, test=develop

* delete extra note, test=develop

* delete extra test

* delete layout_test, test=develop

, its in tests/math/layout_comput_test

* delete extrat test, test=develop

* fix cuda building, test=develop

* remove sequence_pool from cmake because build error, test=develop

* support build C++ cuda shared lib