* update con_dw

* update

* add conv_depthwise_3x3s1.cc and conv_depthwise_3x3s2.cc

* add conv_depthwise_3x3s1_fp32 and conv_depthwise_3x3s2_fp32

* add new conv_dw

* only support conv_dw pad=0, 1

* add conv_dw_s1 conv_dw_s2 fp32

*     //conv2_func _impl2{nullptr};
update conv_dw, add conv_3x3s1 and conv_3x3s2, pad=[0,1]

* fix format, test=develop

* fix formmat, test=develop

* init: delete feed and fetch op, using zero copy
test=develop

* delete the unused test
test=develop

enable conv2d op and its unit tests on x86 device

* [framework][place] remove prefered_place, use place order in valid_place array instead test=develop

* remove kHost from valid_places test=develop

* fix bug for accessing the removed node, test=develop

* fix benchmark, test=develop

[LITE][OPENCL] Fix layout, target pass for OpenCL, add macro of CONVERT_TYPE_TO and READ/WRITE image, memory reuse in ResetLazyImage2D (#2170)

* add macro of CONVERT_TYPE_TO and READ/WRITE image. test=develop

* add data type control. test=develop

* fix io op as general layout and precision. test=develop

* Fix memory reuse strategy for opencl image2d. test=develop

* remove std::array, std::map in about opencl backend. 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

test=develop

* add GetInputNames and GetOutPutNames and GetInputByName method test=develop

* fix asr modle related kernel bugs test=develop

* optimize quant_dequant_fuse_pass, test=develop

* fix conv_transpose error

* fix build error, enable basic test of conv_transpose, 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

* move the method of SetThread and SetPowerMode from MobileConfig into ConfigBase 
* cxxPredictor will support SetThread and SetPowerMode method

* [LITE][OPENCL] support image2d. test=develop

* add context changed with consider image*. test=develop

* add layout, relu image kernels. test=develop

* replace image_data with data, mutable_image_data with mutable_data, test=develop

* comment unused var. test=develop

* remove unused var. test=develop

* fix yolobox_cuda bug 
* update code format

1. improve n-fold quantification algorithm by introducing a minimal size for each fold. 2. automatically search for best n for n-fold algorithm. (#2167)

* [CMAKE] Abandon strip when CMAKE_BUILD_TYPE=Debug

* Add CMAKE_BUILD_TYPE info in cmake. test=develop

* 1. add quantification_fold parameter. 2. support quantification test in run.py.

* implement n-fold quantification

*  imporve prepack_input func speed in int8 3x3s1 dw conv

* fix code style

* fix code style

* improve 3x3s1 dw fp32 conv speed a little

* arm add 5x5s1 int8 dw conv, test=develop

* open cl mem optimise, split with cpu codes.
fix a bug when some memory is not equal 4 .

* open cl mem optimise, split with cpu codes.   fix a bug when some memory is not equal 4  fix bad des

* 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