add clear for tensor

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

* fix op inputs and outputs type, test=develop
Co-authored-by: Njuncaipeng <52520497+juncaipeng@users.noreply.github.com>

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

[LITE][OPENCL] Add relu image2d kernel unit test, Fix conv2d_1x1, relu, layout using new Image2D Layout (#2564)

* add 3 layout for opencl image. test=develop

* add relu image2d test. 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

optimize search_grnn

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

* add opencl conv1x1 image impl and unit test pass with relu & bias,
add layout_compute --> buffer2image float32 --> with unit test pass
suite checked test for more situation , test=develop

* add opencl conv1x1 image impl and unit test pass with relu & bias,
add layout_compute --> buffer2image float32 --> with unit test pass
suite checked test for more situation , test=develop

* fix white space cpp lint , test=develop

test=develop

test=develop

test=develop

* 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

- fix fill_constant bug.
- cast op support int64_t->int32_t

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

* set the bias of int8 conv as float, test=develop

test=develop

test=develop

test=develop