android ios macos linux windows webassembly 预编译库 20231027 3116e02
编译版本，默认配置，android-ndk-r25c，xcode 13.4.1，ubuntu-20.04，ubuntu-22.04，vs2015，vs2017，vs2019，vs2022，emscripten-3.1.28
| file | content | arch |
|---|---|---|
| ncnn-full-source.zip | 包含全部 submodule 代码的完整源码 | |
| ncnn-android.zip | android 静态库/动态库 | armeabi-v7a + arm64-v8a + x86 + x86_64 |
| ncnn-android-vulkan.zip | android 静态库/动态库，支持 GPU | armeabi-v7a + arm64-v8a + x86 + x86_64 |
| ncnn-apple.zip | apple xcframework，ios + ios-simulator + macos + mac-catalyst，with and w/o bitcode | armv7 + arm64 + arm64e + i386 + x86_64 |
| ncnn-apple-vulkan.zip | apple xcframework，ios + ios-simulator + macos + mac-catalyst，支持 GPU，with and w/o bitcode | arm64 + arm64e + x86_64 |
| ncnn-ios.zip | ios 静态库，with and w/o bitcode | armv7 + arm64 + arm64e |
| ncnn-ios-vulkan.zip | ios 静态库，支持 GPU，with and w/o bitcode | arm64 + arm64e |
| ncnn-ios-simulator.zip | ios simulator 静态库，with and w/o bitcode | i386 + x86_64 + arm64 |
| ncnn-ios-simulator-vulkan.zip | ios simulator 静态库，支持 GPU，with and w/o bitcode | x86_64 + arm64 |
| ncnn-macos.zip | macos 静态库 | x86_64 + arm64 |
| ncnn-macos-vulkan.zip | macos 静态库，支持 GPU | x86_64 + arm64 |
| ncnn-mac-catalyst.zip | mac catalyst 静态库，with and w/o bitcode | x86_64 + arm64 |
| ncnn-mac-catalyst-vulkan.zip | mac catalyst 静态库，支持 GPU，with and w/o bitcode | x86_64 + arm64 |
| ncnn-ubuntu.zip | ubuntu linux 静态库/动态库，支持 GPU，模型转换工具 | x86_64 |
| ncnn-windows.zip | windows 静态库/动态库，支持 GPU，模型转换工具 | x86 + x64 + arm + arm64 |
| ncnn-webassembly.zip | webassembly 静态库 | wasm32 + simd + threads + simd-threads |
x86 convolution int8 gemm重构支持任意elempack
x86 convolution int8 winograd重构支持任意elempack
arm convolution int8 gemm重构支持任意elempack
arm convolution int8 winograd重构支持任意elempack
gelu vulkan优化(@FhqTreap)
convolution1d vulkan优化(@FhqTreap)
gridsample x86优化(@Yoh-Z)
riscv gemm fp32优化(@Xinyu302)
新增erf/shrink和onnx转换(@brightening-eyes)
新增diag和pnnx转换(@wnqn1597)
新增celu和pnnx转换(@wnqn1597)
新增simplemath，允许不依赖libm编译使用数学函数(@HonestDeng)
pooling adaptive支持动态的输出尺寸和pnnx转换
elu selu支持4维输入输出
slice支持indices参数
memorydata支持tag参数和fp16存储
x86 selu shufflechannel优化(@wnqn1597)
修复convolution vulkan在固定shape时的结果错误
修复权重tag潜在的溢出(@lrw04)
按层加载模型减少内存占用(@daquexian)
修复老版本gcc编译avx2 gather的错误(@chainsx)
修复老版本gcc编译_mm256_set_m128的错误(@whyb)
修复新版本protobuf编译问题
修复老版本glibc round编译问题
修复c906工具链编译错误
pyncnn启用vulkan支持(@Hideousmon)
pyncnn添加load_param_mem接口(@JeremyRand @theflyingzamboni)
pnnx支持torch-2.1
pnnx消除moduleop的输出unpack
pnnx moduleop将权重shape作为参数写入param，内部权重顺序为使用顺序
pnnx改善reflect replicated pad匹配
pnnx合并conv3d-bn和deconv3d-bn
pnnx转换torch.narrow(@zyt1024)
pnnx转换torch.lgamma(@shudorcl)
pnnx转换torch.positive(@nicochen1118)
pnnx转换torch.cumprod(@Jiang-Weibo)
pnnx转换torch.mv/nn.ReplicationPad3d(@ShuRaymond)
pnnx转换F.pairwise_distance(@Marsyule)
pnnx转换torch.view_as_real/torch.view_as_complex(@Baiyuetribe)
修复pnnx与新版本protobuf编译问题(@HuPengsheet)
修复pnnx改变目录下划线的错误
onnx2ncnn支持celu转换(@brightening-eyes)
自动为pull request添加label
修复ohos工具链编译错误
改进codeformat脚本使用函数(@xiezheng-XD)
添加rk3566 rk3588s跑分数据(@chainsx)
添加Allwinner T527跑分数据(@YuzukiTsuru)
添加树莓派5b跑分数据(@Pillar1989)
添加RTX A3000跑分数据(@chainsx)
添加多款pc跑分数据(@whyb)
New Contributors
- @chainsx made their first contribution in #4959
- @xiezheng-XD made their first contribution in #4993
- @zyt1024 made their first contribution in #4918
- @FhqTreap made their first contribution in #5001
- @shudorcl made their first contribution in #4976
- @nicochen1118 made their first contribution in #4999
- @Jiang-Weibo made their first contribution in #5002
- @brightening-eyes made their first contribution in #5012
- @wnqn1597 made their first contribution in #4935
- @ShuRaymond made their first contribution in #4974
- @HuPengsheet made their first contribution in #5034
- @Marsyule made their first contribution in #4942
- @Pillar1989 made their first contribution in #5058
- @Xinyu302 made their first contribution in #4903
- @Hideousmon made their first contribution in #5020
- @HonestDeng made their first contribution in #4905
Full Changelog: 2023081...2023102
