* optimize yolov3 output extraction speed.

* Optimize FP32/FP16 conversion with AVX intrinsics.

for pyncnn python wrapper

* use Mat class for Shape description

* shape specialization constant in compute shader

* wip

* wip

* test forward_inplace, add binaryop unaryop sigmoid test

* fix arm unaryop test

* fix arm binaryop test

* make shape hint optional, cast int8 to fp32, add cast test

* wip

* follow the good and old local size setting for conv1x1

* the optimal local size rewrite

* fix build on msvc

* add permute shader for all packing layout, add permute test

* concat and slice patial shape constant, slice test

* fix slice test

* interp test

* add lrn test, test packing layout implicitly

* add eltwise test

* add normalize test

* add instancenorm test

* reorg shape constant

* simple local group size partition

* add shape constant param

* skip compile caffe tools

* add convolution_int8 requant test

* fix

* test int8requant

* revert code

* clean code

* fix CI error

* resolve review advices

* Update convolution_arm.cpp

Co-authored-by: nihui <shuizhuyuanluo@126.com>

baseclass Pipeline use virtual destruction