* [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

* online pipeline cache wip

* device-wide pipeline cache

* enable model-wide pipeline cache

* drop pre-created shader modules

* always use pipeline cache

* use implicit model-wide pipeline cache, code format

* code clean

* 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>

* 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

* vkmat and command api breaks

* always use compute queue for compute buffer transfer

* no barrier for readonly weight buffer

* record clone, drop queue_owner

* bring back layer forward

* fix validation errors

* lifecycle inside command makes life easier

* update doc

* record_import_android_hardware_buffer

* 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