- enhance interp InferShape

* Support bitman backend

[LITE][NPU] Add instance_norm op bridge and unit test, refine the registration of op bridges (#2747)

* [NPU] enhance unittest for shuffle_channel, unsqueeze, pool

test=develop

test=develop

test=develop

X86 and cuda compile simutaneously cmake ..  -DCMAKE_BUILD_TYPE=RelWithDebInfo  -DWITH_MKL=ON           -DLITE_WITH_CUDA=ON           -DWITH_MKLDNN=OFF           -DLITE_WITH_X86=ON           -DLITE_WITH_PROFILE=OFF          -DWITH_LITE=OFF           -DLITE_WITH_LIGHT_WEIGHT_FRAMEWORK=OFF           -DWITH_PYTHON=OFF           -DWITH_TESTING=ON           -DLITE_WITH_ARM=OFF           -DLITE_ON_TINY_PUBLISH=OFF           -DCUDNN_ROOT=/usr/local/cudnn/           -DLITE_BUILD_EXTRA=ON (#2708)

x86 and cuda compile simutaneously

test=develop

* Fix the compiling error which occurs when specify the ddk_root path and build for huawei NPU.

* Refine the registration of op bridges and make it similar to the registration of op and kernel.

* Refine the interfaces of the graph and node for op bridges, and support creating constant and data node automatically according to the attribute 'persistable' of the target tensor.

* Add the unit test of the scale and softmax op bridge for NPU.

test=develop

* fix op inputs and outputs type, test=develop

* Remove GEMM padding in fc_compute.
test=develop

* Write a common ParallelFor function to run the for loop in parallel.

* Add the codes of padding GEMM back in fc.

* Refine the code of fc when padding_weight is false to avoid the definition of temporary Tensor.

* Refine the unit test of fc and add testing case of padding and parallel.
test=develop

* Enable more test cases in common fc unittest, including padding and parallel for x86 target.

* Remove the fc test under kernels/x86.
test=develop

* Disable relu in test of fc for non-x86 target.
test=develop

* Change the eps of arm.
test=develop

* Support multiple types for XPU and NPU op bridges

* Add lookup_table, gather, slice, stack and scale op bridges for supporting BERT

* Fix the definition of lookup_table kernel for X86

test=develop

* [XPU] elementwise_add unit test

* [XPU] softmax unit test

test=develop

test=develop

test=develop

* [XPU] add transpose bridge and unit test

test=develop

* Support Mask RCNN2 (#2588)

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

* 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

* fill_constant can support shape is tensor or tensorlist

align the lite nearest， bilinear op to fluid on arm and cuda

* fix error for AxesTensorList in unsqueeze op

* update concat and unsqueeze, test=develop

We have changed 11 arm_kernels into extra type in #2347 , which has caused test_compiling failure. In this PR , we move their 11 related arm_kernel_test into build_extra=ON

update reshape op to support multiple input types of shape.
priority: input(ShapeTensor) > input(Shape) > attr(shape)

update slice op to support multiple iput types of starts and ends.
priority: input(StartsTensor) > input(StartsTensorList) > attr(starts)

fill_constant kernel only registered float type, only the float data type is produced, which is obviously a bug.

Now, produce data based on the data type attr.

By the way, fix the cast kernel bug.

* Initial support for XPU
* Fix compiling errors of XPU
* Move XPU op kernel bridges from backends to kernels to fix deps order
* Change the namespace and directory of XPU bridges
* Add XPU SDK
* Fix header files and namespace of XPU SDK
* Add unit tests for relu and conv2d ops
* Restore the modification of paddle_api_test
* Supports simple model which contains only a relu layer
* Add compiling scripts for XPU
* Fix compiling errors of XPU
* Add comments for XPU LoadModel and BuildModel