* support pytorch adaptive pool
* support onnx2ncnn adaptive pool convert
* support ncnnoptimize adaptive pool param write

* fix adaptive pool out_shape order

* fix adaptive pool out_shape order, H and W can be either a int
add test case, set support_vulkan = false Pooling_vulkan::create_pipeline

* review adaptive pool

* fix typo

* add adaptive pool forward in pooling_x86.cpp pooling_arm.cpp
fix out_w, out_h id naming convention

* fix typo

* don't support packing, bf16, int8, image for adaptive pool

* Restyled by clang-format

* Restyled by astyle

* Restyled by clang-format

* Restyled by astyle

Co-authored-by: Restyled.io <commits@restyled.io>

* perf(innerproduct-arm): add aarch64 gemm

* fix(innerproduct): fix compilation errror

* fix(armv7-innerproduct): fix armv7 compilation error

* fix(innerproduct): fix gemm param

* fix(int8): update mock scales and fix runtime error

* fix(compilation): fix compilation error

* build shared lib and enable lto

* reserved for layer and option

* allocator pimpl

* datareader pimpl

* paramdict pimpl, disable copy assign for allocator and datareader

* modelbin pimpl

* net extractor pimpl

* gpu pimple

* disable copy assign vulkandevice, code format

* command pimpl, dummy image readonly

* pipeline pipelinecache pimpl, export platform class

* code format, export simple family

* update ci

* disable lto on android armv7, merge webassembly ci

* link libgcc, fix macos dylib version

* pipeline pimpl, gpu info pimpl

* destroy gpu info after vulkan device

* ignore msvc stl class warning

* fix ncnn_paramdict_get_float return type

* fix vktransfer upload fp16 without flatten, add command test

* add vs2015 ci
* build x86 binary

For compatiblity for old compilers such as ndk-r16b.
`fabs()` keeps result stable.

ref: https://github.com/Tencent/ncnn/issues/2372

* SSE2: BatchNorm

* Fixed batch norm in AVX configuration

* Optimized register size switch

* Attempt to pass CI

* Attempt to pass CI

* Bias op

* Element wise ops

* Support packing on x86 by default

* Fixed macro range in bias

* Use aligned read for packed data

* Update testutil.h

* Update pooling_x86.cpp

* Support wasn SIMD

* Fix emscripten compiler flags

* fix build

* more ci fix

* concat x86 pack4

* flatten x86 pack4

* more x86 pack4

* ci pass

* fix

* enable sse2 mathfun

* enable --experimental-wasm-simd

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

* add interp param align_corner

add check support_vulkan after create_pipeline for tests

* code style

Co-authored-by: yangfengmax <yangfengmax@didichuxing.com>

* drop bug_layout_binding_id_alias flag

* Fixed compile warnings for gcc linux gpu 64 build. [-Wunused-parameter]

* Fixed linux x64 gpu clang compile warning. [-Wunused-variable]

* fix packing.cpp integer multiply may overflow

* int->size_t

* fix -Wmaybe-uninitialized

build warning: ‘_outh’ '_outw'  may be used uninitialized

* Restyled by clang-format

* Restyled by astyle

* Restyled by clang-format

* Restyled by astyle

Co-authored-by: ncnnnnn <67086033+ncnnnnn@users.noreply.github.com>
Co-authored-by: Restyled.io <commits@restyled.io>

* query subgroup features

* compile spirv 1.3

* drop offline spirv build

* do not build tests for android and ios, as they are never tested anyway

* code style