* some ci tweaks

* workaround windows-2016 cache

* codecov for arm32 aarch64, vs2017 ci

* vs2017 default to x86 even on x64 host

* 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>

* openmp on webasm works

* fix compile flags

* dynamic kmp runtime initialization

* clang simpleomp ci

* fix dispatch on unique cpu

* reset

* fix build with old vulkan header

* 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

* set cmake NCNN_BUILD_TESTS default off and add -DNCNN_BUILD_TESTS=ON to ci

* Update linux-x64-cpu-gcc.yml

* Update linux-x64-cpu-gcc.yml

* [build] add toolchain file w/o stdcxx dependency

* [build] link m and gcc lib explicitly

* [ncnn] complete simple stl impl

* [ncnn] adapt for ncnn simplestl

* [test] adapt for ncnn simplestl

* [ncnn] fix missing algorithm and list when simplestl disabled

* [ncnn] fix guard for operator new and delete

* [style] fix the code style

* [build] fix build failed on darwin and emscripten

* [ci] do not import cxx to avoid operator conflict

* [ncnn] add temporary partial_sort impl using bubble sort

heap sort should be used for better perf.

* [ncnn] add std greater and less function

* [ncnn] fix placement new operator overload

* [ncnn] add operator delete with size info

* [build] disable exception, rtti, example and tools when simplestl on

* [build] add toolchain for arm simplestl

* [build] add toolchain for aarch64 simplestl

* [ncnn] move initializer to constructor

* [ncnn] use deteiled type instead of auto

* [ncnn] use plain lib name in target_link_libraries

* runtime cpu dispatch

* force thread one

* disable openmp for coverage

* simplify test layer

* print NCNN_TARGET_ARCH

* less ci build variants

* weight fp16 storage option

* test convdw int8

* apple a12 a13

* ncnn_add_layer ncnn_add_shader cmake macro

* 去掉对stl的依赖

* 头文件名，push_back改正

* 去掉构造托管

* 好像是折腾

* data 的返回改为指针，非指针引用

* resize一处写错

* stdint

* 加入c_str

* 改文件名为小写

* NCNN_SIMPLESTL option

* simplestl default to OFF

* Update linux-x64-cpu-gcc.yml

* Update linux-x64-cpu-gcc.yml

* Update linux-x64-cpu-clang.yml

* drop functional header

* arm32 arm64 simplestl ci

* 修改一处内存泄漏, 去掉编译器警告

* resize时默认量的bug

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

* enable image storage test

* update swiftshader, use subzero backend, opt default

* wip

* wip

* fix

* image and imageview can not be destroyed until command execution ends

* fast copy path for tightly packed data

* wip

* texture load works

* 1d 3d image

* record clone image, multiple commands share one image reference

* upload download image

* layer forward accept vkimagemat

* vkimagemat graph works

* staging vkimagemat for passing dynamic parameters, macro for fp32+image shader, padding image shader

* vkimagemat elemsize

* convolution test pass

* conv1x1s1 image shader

* fast staging image allocator from host memory, pooling image shader

* convolutiondepthwise image shader

* innerproduct image shader

* packing image shader

* crop deconvolution image shader

* resolve spirv binding types

* image fp16 and fp16a, cast image shader

* eltwise image shader

* wip

* absval image shader

* deconvolutiondepthwise image shader

* concat image shader, squeezenet works

* noop split image shader

* uniform precision hint

* layer support_image_storage

* wip

* vulkan device utility operator

* command is storage and packing option aware

* fallback to cpu on image allocation failed, mobilenetssd works

* flatten image shader, enable more test

* ci test

* check imgfp32 imgfp16 imgfp16a features

* fix ci test

* fix ci test

* upgrade swiftshader

* wip

* opt aggressive

* imgfp16p

* opt none

* convolution winograd image shader

* fix flush range, fast copy path for continous buffer

* minor fix

* fix innerproduct

* wip ...

* wip

* cast fix

* packing test

* wip

* image fp16p is fp16p

* wip

* silence

* more line info

* code clean

* softmax image shader

* try checkout v2 to resolve some ci issue

* coverage

* wip

* use relative path

* enable gpu test

* restore jobs

* codecov

* Create sync-wiki.yml

* Update sync-wiki.yml

* delete ccpp.yml

* add build.yml

* split all workflows

* delete single file defined workflows

* light up the building status matrix

* use short icons

* add actions to ios 32bit cpu position

* rename ios workflow file's name

* rename ios workflow name

* revise more understandable help info

* try update ubuntu system before apt-get install

* remove upgrade

* cpu test

* wip

* ci run test

* travis ci for arm64

* arm64 ctest

* copy vulkan loader

* wip

* run

* Update ccpp.yml

* gpu test

* swiftshader

* cache macos swiftshader

* try MoltenVK

* try vulkaninfo

* give swiftshader another try

* disable failed macos gpu test

* more conv test, fix conv3x3s1 gpu test fail

* fix deconvolution test

* dilation test

* cmake option to build tests

* ncnn_add_layer_test macro

* host barrier before upload and after download, handle packing layout option

* test packing layout

* wip

* wip

* merge deconvolution packing and non-packing code

* merge convolution packing and non-packing code

* pass top_blob_count param

* fix build

* take care of non-coherent mappable memory

* Add mips-mti compilation to github action

* Remove protobuf installation