test=develop

test=develop

add cv docs, test=document_fix

test=develop

fix fpga lite_tensor compile bug
     add fake quantize_abs_max op
     test=develop

* Optimize the InferShape of several operators.
test=develop

* Remove the new function, resize and CheckPositive in DDim.
test=develop

* Fix a bug in fc_op's InferShape.
test=develop

1. add conv_5x5s2_dw to support any padding
2. add 1x1s2pooling impl
3. fix conv dw 3x3 s1p01 bug

- enhance interp InferShape

* support conv_transpose output_size attr 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

* fix conv 2-pad to 4-pad

* fix compute conv shape

* fix pad, test=develop

* change conv_depthwise_3x3s1_fp.cc name to conv3x3s1p01_depthwise_fp32.cc to distinguish between conv3x3s1_depthwise_fp32.cc

* delete printf note in conv3x3s1, test=develop

* delete printf note, test=develop

* delete gem_sdot.h, test=develop

it is coped from __gemm_sdot_meta_.h

* update compute padding, test=develop

* fix padding size, must be 2 or 4. test=develop

* fix format in operators/conv_op.cc, test=develop

* change #if 0 to #if 1, test=develop

* put 2-pad to 4-pad in AttachImpl, test=develop

* fix clang-format error inn tests/math/connv_compute_test, test=develop

* fix x86 test result error, test=develop

* add asymmetric padding test case in liite/tests/math/conv_compute.cc, test=develop

* change paddings type to support dynamically modify, test=develop

* fix x86 build error in connv_compute_test, test=develop

* fix opencl build error, test=develop

* fix oopencl build error, test=develop

* fix  opencl/conv_compute build error, test=develop

* fix  opencl/conv_compute build error, test=develop

* fix format in kernels/opencl/conv_computte_ttest,test=develop

* fix build error, test=develop

fix build error in kernels/x86/conv_compute.h

* fix ccompute shape error in ooperators/conv_op.h, test=develop

* add conv_reelu6 and conv leaky_relu in conv_3x3s1_direct

* add conv_relu6 in c1, c2, c4,test=develop

* fix conflict in conv_bloock_utils.h, test=develop

* add relu6 and leankyrelu in conv_3x3s1_dw

* add conv_3x3s1px_dw relu6 and leaky_relu fusion, test=develop

* fix conflict in tests/math/conv_compute_arm, test=develop

* fix build error in winograd arm, test=develop

* channge act_param as pointer in conv_block_tuils.h, test=develop

* fix winograd in no equal 4-padding compute error, test=develop

* add conv relu6 and leaky_relu in conv_dw_3x3s2, test=develop

* fix format, test=develop

* fix format in conv_block_utils, test=develop

* move updatePadding from conv_op.cc to conv_op.h, test=develop

* fix format conv_op.h, test=develop

* fix buuilde error in conv_oop.h, test=develop

* remove flag_relu parameter in conv_3x3_depthwise, test=develop

add sequence_pool_concat fuse pass

add fuse kernel

test=develop

add var_conv_2d + relu fuse pass

* [XPU] add transpose bridge and unit test

test=develop

* optimize content-dnn cuda kernel

* 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

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

update cuda kernels to run content-dnn model

test=develop

test=develop

* fill_constant can support shape is tensor or tensorlist