Signed-off-by: Xilin Wu <wuxilin123@gmail.com>

* create layer decoupled
* no more virtual public
* allow build test with shared library
* decouple cpu vulkan
* drop old scripts

* improve gemm packb threading
* optimize tile size
* profile winograd condition
* handle threads changes

* drop old sgemm code

* fix convdw test

* fix avx512 gemm

* optimize prefer sgemm condition

* fine grained winograd options

* x86 optimization for convolution winograd f23 pack4/pack8/pack16

* fix avx512 and t4 ci

* fix fast direct conv path

* winograd63 is actually slower than winograd43 on very large channel

* discard weight memory for x86 and vulkan
* drop arm innerproduct weight
* drop arm convolution weight
* drop arm convolutiondepthwise weight
* drop x86 vulkan deconvolution deconvolutiondepthwise weight
* drop arm deconvolution deconvolutiondepthwise weight
* arm neon assembly optimization for innerproduct pack4

* optimize x86 winograd input transform transpose

* x86 sse2/avx optimization for convolution winograd23/43 pack1

* convolution winograd pack16to1

* x86 deconvolution and deconvolutiondepthwise

* simpleomp allow 32 arguments

* drop shadow variable workaround

* less winograd test error

* convolution sgemm pack16to1

* convolution sgemm pack4to16

* eltwise avx512

* unified relu avx512

* unifed clip avx512

* unaryop avx512

* sigmoid avx512

* binaryop avx512

* padding convolution avx512

* convolutiondepthwise avx512

* innerproduct avx512

* reshape avx512

* slice avx512

* hardsigmoid hardswish avx512

* swish avx512

* pooling avx512

* crop avx512

* convolution sgemm pack16

* convolution 3x3 winograd pack16

* interp avx512

* convolution sgemm pack1to16

* convolution sgemm pack16to8

* convolution sgemm pack8to16

* convolution sgemm pack16to4

* fix vulkan permute pack8

* fix vulkan convolution gemm pack8to1

* x86 sse2 optimization for conv1x1 conv3x3 pack4 and general sgemm pack4/pack4to1

* x86 sse2 optimization for conv3x3s1 pack4to1 and general sgemm convolution pack4to1, use aligned load/store

* enforce explicit alignment

* avx-vnni and avx512-vnni optimization for convolution int8 gemm and 3x3 winograd pack8to4/pack8to1

* some sse 4.1 optimization

* sse2/avx2 optimization for convolution 3x3 winograd42 int8 pack8to4/pack8to1

* added a number of optimized sse layers, specifically to increase performance of mobilenet style networks

* use general fmadd

* forceline x86 fmadd for better performance

* fix msvc compile warning

* simplify swish implementation

* Use activation layer for better performance

* Optimize x86 ConvolutionDepthWise activation

* add general fused activation
* add NCNN_FORCE_INLINE option

* Fix codepaths for fp16 weights when only AVX is enabled

* Disable opt overrides

* Update SDK url

* Update vulkan SDK download version

* Debugging risv pad

* apply code-format changes

* fix padding test

* fix mips slice test

* fix lrn test

* implement mish swish image shader, fix pooling adaptive image storage support, drop debug output

* update ci ubuntu 18.04

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

* quantize and dequantize tests

* unify activation and usability function

* drop NCNN_REQUANT cmake option, test dequantize requantize pack8, fix webassembly build

* benchmark use requantize int8 model