* temporarily remove x86 fuse test=develop

* remove useless logs test=develop

[LITE][CORE][NPU][XPU] Recording the data type when mutable_data() is called, and supporting the type inference from the tensor for the op bridges (#2735)

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

test=develop

test=develop

test=develop

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.

* fix yolov3 bug when run several times, test=develop

-fix fluid-lite-subgraph x86 compile error
    - Replace FLAGS with environment variables

test=develop

add clear for tensor

* fix op inputs and outputs type, test=develop

optimize softmax cuda kernel

* 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

add sequence_pool_concat fuse pass

add fuse kernel

test=develop

test=develop

add var_conv_2d + relu fuse pass

* [XPU] add transpose bridge and unit test

test=develop

* optimize content-dnn cuda kernel

* feature: update fpga kernel patch

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

* Support Mask RCNN2 (#2588)

* add reshape opencl kernel && optimise conv 1x1 ,test=develop

* add reshape opencl kernel && optimise conv 1x1 &&code style ,test=develop

* add reshape opencl kernel && optimise conv 1x1 &&code style ,test=develop