android ios 预编译库 20190320 dbf2052
编译版本,默认配置,android-ndk-r18b,cctools-port 895 + ld64-274.2 + ios 10.2 sdk libc++
ncnn-android-lib 是 android 的静态库(armeabi-v7a + arm64-v8a)
ncnn-android-vulkan-lib 是 android 的静态库(armeabi-v7a + arm64-v8a,包含vulkan支持)
ncnn.framework.zip 是 ios 的静态库(armv7 + arm64 + i386 + x86_64)
ncnn-vulkan.framework.zip 是 ios 的静态库(arm64 + x86_64,包含vulkan支持,MoltenVK-1.1.82.0)
openmp.framework.zip 是 ios ncnn openmp 运行时静态库(armv7 + arm64 + i386 + x86_64)
新增实验性gpu推断:AbsVal, BatchNorm, BinaryOp(no broadcasting), Clip, Concat, Convolution(pad -233 not supported), ConvolutionDepthWise(pad -233 not supported), Crop, Deconvolution, DeconvolutionDepthWise, Dropout, Eltwise, Flatten, InnerProduct, Interp, LRN, Packing, Padding, Permute, Pooling(pad SAME not supported), PReLU, PriorBox, ReLU, Reorg, Reshape, Scale, ShuffleChannel, Sigmoid, Softmax, TanH, UnaryOp
支持gpu/cpu混合推断
无溢出的int8卷积计算
精度更好的int8量化方法
element packing数据存储
conv3x3s1 int8 aarch64优化
conv3x3s2 int8 armv7/aarch64优化
conv1x1s1 int8 aarch64优化
convdw3x3s1 int8 aarch64优化
convdw3x3s2 int8 aarch64优化
修正armv7-without-neon编译
example例子全部支持gpu运算
兼容onnx/mxnet的upsample和slice转换
squeezencnn增加gpu识别按钮
benchmark新增gpu推断
benchmark新增resnet50以及int8模型
ios openmp 更新为 7.0.1