* fix the compile error for cuda and fix unit test

- add sequence_reverse op

- add sequence_reverse kernel for x86 and cuda

- add sequence_reverse_test for x86 and cuda

- add sequence_concat op

- add sequence_concat kernel for x86 and cuda

- add sequence_concat_test for x86 and cuda

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

* add channel_wise_dequantized_max_abs op and ChannelWiseDequantOpFuser, test=develop

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)

* fix step rnn model run bugs test=develop

* 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

* enable pool2d op on x86 and add its unit tests, test=develop

* enable dropout op and add its unit tests, test=develop

* add tranpose, transpose2 op and add their unit tests, test=develop

* Add DeleteQuantOpFuser
* Add fake_quantize_dequantize_moving_avg_abs_max_op
* Add DeleteQuantDequantOpFuser

* feat: add beam_search_special function for support nlp model

* fix: add beam_search_compute kernel input and output

* feat: add assign op & copy_compute kernel

* feat: add fill_const_batch_size_like op & kernel

* feat: add layer_norm op and kernel and ut

* fix: fix some bugs
    fix mul_op infer_shape bug when x_dim_idx = 2, x_dims.size()=3 & y_dim_idx = 1, y_dims.size()=2
    fix elementwise_compute bug when y axis is all 1
    fix beam_search choose math_func wrong bug
    fix layer_norm get attr bug
    fix fill_constant_batch_size_like shape_set bug

* feat: add gather op and kernel & and transform ut

* feats: add ops and fix bugs to support transformer op
       fix type_cast passes to skip `while`
       fix elementwise infer_shape bug when x.dims=3 and y.dims={1} & axis=0
       fix lookup_table compute bug
       fix read_from_array/beam_search/increment/compate/gather ops data_type problems

* fix:
    transfomer ut add word read inferface
    fix copy/gather/norm/layer_norm include path problem

* fix:debug info

* fix: fix input reshape bug

* fix: fix norm bug

* style: style fix & test=develop

* style: fix operators cmakelist

* style: fix operators cmakelist; test=develop

* fix and test=develop

* fix and test=develop

* style: style fix; test=develop

* [NPU] Fix the bug of loading multi NPU models
test=develop

* [NPU] Use lite tensor to store NPU model, fix the management of multi NPU models, support loading NPU model from memory and reduce the modification of framework
test=develop

* [NPU] Remove redundant header files for NPU bridges,
test=develop

* [NPU] fix NPU deps
test=develop

* [NPU] refine the compiling script for NPU
test=develop

* [NPU] remove redundant subdirectory in lite/CMakeLists.txt
test=develop

* [NPU] Fix and refine NPU test case
test=develop

* [NPU] revoke the modification of other non-NPU modules
test=develop

* [NPU] Remove NPU bridges if target is tiny publish
test=develop

* fix bug for reshape op, test=develop

* fix asr modle related kernel bugs test=develop

* optimize quant_dequant_fuse_pass, test=develop

* add conv int8 support(in condition which the input or output channel not be the times of 4)
add add_kernel for cuda.

* can run yolov3 fp32
test=develop

* 1. fix bug with yolov3 run
test=develop

* can run yolov3 int8 test=develop

* fix gemm_int8, gemv-int8 and conv-int8 math function, add float bias

* change conv impl

* neon int8 kernel support float bias

* arm compute kernel support float bias

* add math_test target

* add tensor utils for testing, fix sgemm ut error

* add gemm_int8 unit test, support float bias

* fix build script

* add conv compute unit test for arm

* fix build script, test=develop

* fix fp32 dw conv3x3s1, test=develop

* add fp32 dw conv3x3s1, test=develop

* add armv7 fp32 dw conv3x3s1, test=develop

* add fp32 depthwise conv3x3s2, test=develop

* fix fp32 conv3x3 depthwise build error, test=develop

* fix gemm_like conv trans weights error, test=develop

* fix int8 depthwise conv3x3 error, test=develop

* turn on all test for arm fp32 conv, test=develop

* fix int8 conv1x1 error

* fix int8 direct conv3x3s1 error, test=develop

* fix int8 direct conv3x3s2, test=develop

* turn on all test for arm int8 conv, test=develop

* fix int8 fc error, change mobilenetv1-int8 ground-truth result to fluid, test=develop

* remove debug info, strip ut binary, test=develop

* fix conv compute error, test=develop

* change Init() to ReInitWhenNeeded(), test=develop

* fix code style, test=develop

* remote engine_test, test=develop

* fix building server tests error, test=develop

* fix sdot clang build error, test=develop

* fix sgemm ut timeout error, test=develop

* fix clang build error, test=develop

* turn off math basic test due to ci time out, test=develop

* fix conv_int8 ut error, test=develop

* modify norm kernel to run caffe_facedetection model

* reserve bind norm, remove calc of norm output

* add fill_constant_batch_size_like op and add its unittest

* add x86 gru&&relu&&sequence_expand_as op test=develop

* add unsqueeze and range op. modify concat op test=develop

* modify exception in range_test_x86

* add assign_value op, arm kernel and test, add fluid_type, test=develop

* add hard_sigmoid, test=develop

* add lite x86 ops for ASR test=develop

* add lite x86 ops for ASR test=develop

* fix x86 ci run test problems test=develop

* fix mkl path for CI test=develop

* paddle lite cuda init
can run model with leaky_relu

* add the missing file.
test=develop

* add the load from memory interface.
test=develop

* refine this pr. fix comments
fix ci error
test=develop

* conv impl
fp32:
conv, conv+bais, conv+bias+relu, conv+bias+leaky_relu

int8:
conv, conv+bais+relu(int8 or fp32 output), conv+bias+leaky_relu(int8 or fp32 output)

can run conv+ bias+relu using cxx_api
test=develop

* move the lite/cuda/math to backends/cuda/math
test=develop

* add ops for faster rcnn

* disable test for generate_proposals and roi_align, test=develop

* remove .swp file

* remove log in tensor slice

* finish the unit test for roi_align, test=develop

* add box_clip op and fix tensor slice bug

* remove add four op twice

* rewrite the implement for box_coder and sequence_expand, add faster_rcnn_test, test=develop

* fix test bug of box_clip in x86 server, test=develop

* rewrite multiclass_nms according to fluid, test=develop

* fix param load bug in box_coder and multiclass_nms op, test=develop

* fix value transfor error in multiclass_nms, test=develop

* add ops for faster rcnn

* disable test for generate_proposals and roi_align, test=develop

* remove .swp file

* remove log in tensor slice

* finish the unit test for roi_align, test=develop

* add box_clip op and fix tensor slice bug

* remove add four op twice

* rewrite the implement for box_coder and sequence_expand, add faster_rcnn_test, test=develop

* fix test bug of box_clip in x86 server, test=develop

ad ops for faster rcnn, including affine_channel, anchor_generator, generate_proposals and roi_align (#1895)

* add ops for faster rcnn

* disable test for generate_proposals and roi_align, test=develop

* remove .swp file

* remove log in tensor slice

* finish the unit test for roi_align, test=develop

* test=develop add matmul_op

* use lite::arm::math::sgemm func to implement matmul

* test=develop  pre-commit command to run clang-format

* Revert "test=develop  pre-commit command to run clang-format"

This reverts commit 3f56474f.

* test=develop pre-commit command to run clang-format

add model_run_test_image
    add range_max_quant op
    add flatten op
    add flatten2 op
fix:
    fix density_prior_box density_size type from float to int
    fix prior_box and density_prior_box some check for get_attr
test=develop