* [LITE][OPENCL][Image] conv 1x1 5x5 7x7 suite

# Conflicts:
#	lite/kernels/opencl/conv_image_compute_test.cc

* [LITE][OPENCL][Image] conv 1x1 5x5 7x7 suite,test=develop

* [LITE][OPENCL][Image] conv 1x1 5x5 7x7 suite,test=develop

* [LITE][OPENCL][Image] conv 1x1 5x5 7x7 suite,test=develop

* [LITE][OPENCL][Image] conv 1x1 5x5 7x7 suite,rm1x1 old,test=develop

update mask detection demo

* Support lac model, fix bug for argmax lod_reset, test=develop

[LITE][OPENCL] support fp16 for cl_image_converter, layout, activation all OpenCL image kernel. test=develop (#2964)

* [LITE][OPENCL] support fp16 for cl_image_converter, layout, activation image kernel. test=develop

* add conv, depthwise and UT. test=develop

* add pool, conv, nearest_interp kernel. test=develop

* support fp16 for scale, reshape, concat, fc buffer opencl kernel. test=develop

* refactor for mul opencl buffer kernel. test=develop

* support fp16 for elementwise_mul opecl image kernel. test=develop

* support fp16 for elementwise_mul opencl image kernel. test=develop

* support fp16 for ele_add, fuse_ele_add_act opencl kernel. test=develop

* rename io_copy. test=develop

* mobilenetv1,v2 passed on 855. test=develop

* fix opt for opencl. test=develop

fix tiny_publish link error when open LOG

fix: move quant op to basic

skip fusing quantized conv2d + relu6 for now

Optimize cuda kernel and remove io_copy added by default due to missing fetch_cuda kernel

add multiclass_nms2 kernel, test=develop

* fix caliberate error, values from [-128, 127] to [-127, 127], test=develop
* add classify demo and detection demo, test=develop

* add weight quant for combined model after optimized, test=develop

* fix compile. test=develop

* make full_publish to fix link bug in mask demo

add cv docs, test=document_fix

* Add reduce sum op test
test=develop

test=develop

* mobilenetv1/v2,mnasnet,yolonano,sr models passed with opencl image2d kernel. test=develop

* Fix gflag shape define. test=develop

* Replace Softsign Eigen with c implementation
test=develop

* Optimize softmax. When the input tensor is 2-D and axis is 1, there is no need to resize.

* Optimize the gru, avoid calling Tensor::Slice.
test=develop

* Remove a std::vector in softmax.
test=develop

* Define CalculateSeqWidth to get the width of a sequence.
test=develop