ncnn 20241226

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release notes

编译版本，默认配置，android-ndk-r27c，xcode 15.2，ubuntu-20.04，ubuntu-22.04，ubuntu-24.04，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 + riscv64 |
|ncnn-android-vulkan.zip | android 静态库/动态库，支持 GPU | armeabi-v7a + arm64-v8a + x86 + x86_64 + riscv64 |
|ncnn-apple.zip | apple xcframework，ios + ios-simulator + macos + mac-catalyst + watchos + watchos-simulator + tvos + tvos-simulator + visionos + visionos-simulator | arm64 + arm64e + x86_64 |
|ncnn-apple-vulkan.zip | apple xcframework，ios + ios-simulator + macos + mac-catalyst + watchos + watchos-simulator + tvos + tvos-simulator + visionos + visionos-simulator，支持 GPU | arm64 + arm64e + x86_64 |
|ncnn-ios.zip | ios 静态库 | arm64 |
|ncnn-ios-vulkan.zip | ios 静态库，支持 GPU | arm64 |
|ncnn-ios-simulator.zip | ios simulator 静态库 | x86_64 + arm64 |
|ncnn-ios-simulator-vulkan.zip | ios simulator 静态库，支持 GPU | 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 | x86_64 + arm64 |
|ncnn-mac-catalyst-vulkan.zip | mac catalyst 静态库，支持 GPU | x86_64 + arm64 |
|ncnn-watchos.zip | watchos 静态库 | armv7k + arm64_32 |
|ncnn-watchos-simulator.zip | watchos simulator 静态库 | x86_64 + arm64 |
|ncnn-tvos.zip | tvos 静态库 | x86_64 + arm64 |
|ncnn-tvos-vulkan.zip | tvos 静态库，支持 GPU | x86_64 + arm64 |
|ncnn-tvos-simulator.zip | tvos simulator 静态库 | x86_64 + arm64 |
|ncnn-tvos-simulator-vulkan.zip | tvos simulator 静态库，支持 GPU | x86_64 + arm64 |
|ncnn-visionos.zip | visionos 静态库 | arm64 |
|ncnn-visionos-vulkan.zip | visionos 静态库，支持 GPU | arm64 |
|ncnn-visionos-simulator.zip | visionos simulator 静态库 | x86_64 + arm64 |
|ncnn-visionos-simulator-vulkan.zip | visionos simulator 静态库，支持 GPU | 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 |
embed 支持int8量化

gemm 支持int8量化

multiheadattention 支持int8量化

新增spectrogram和inverse spectrogram实现

arm rmsnorm neon优化

arm layernorm neon fp32/bf16s/fp16s优化

x86 rmsnorm sse2/avx/avx512优化

x86 layernorm sse2/avx/avx512优化

x86 gemm int8 sse2/xop/avx/avx512/vnni/vnniint8优化

更新riscv vector标准到1.0，重写全部ncnn riscv优化代码，自动探测rvv/zfh/zvfh/xtheadvector并分发

riscv gemm rvv优化支持128bit/256bit vlen

禁用x86倒数优化避免可能的精度损失

改善harmonyos cpu拓扑结构abi兼容性

暂时禁用mesa驱动的vulkan矩阵扩展支持

兼容ndk-21编译asimdfhm目标的错误导致的问题

兼容clang-18编译avx512bf16时编译器崩溃的问题

禁用msvc对windows arm平台exp/tanh的svml优化以解决计算错误

探测avxvnniint8/avxvnniint16/avxneconvert指令集

runtime cpu开启时仅使用ncnn cmake内置的编译参数

删除windows arm32支持(@Shironana817)

android默认启用16kb pagesize编译，android-api升级到21

vkCreateDevice失败时不直接崩溃(@Upliner)

为powerpc架构跳过0.5附近数值的unaryop round测试用例

pnnx更新到torch-2.5

pnnx支持从traced inputs自动设定inputshape

pnnx编译不再输出来自torch头文件的警告

pnnx重排pass level2内的全部顺序，并复用pattern

pnnx不再保存debug中间模型(@LJoson)

pnnx输出python脚本的onnx导出代码更新到export(@whyb)

pnnx合并t5-layernorm为rmsnorm

pnnx不再折叠具有动态shape的tensor

pnnx在输出的python脚本中使用隐含的int转换避免trace时常数化

pnnx转换Tensor.select为ncnn crop+squeeze

pnnx转换onnx constantofshape为torch.zeros/ones

pnnx修正onnx clip在可选min/max缺失时的转换问题

ci更新riscv64工具链

ci添加c908/spacemit-x60

ci webassembly兼容node>20

ci android添加riscv64目标并打包

添加vim3 vulkan跑分数据(@GIBEREZ)
New Contributors

@ankushgoel27 made their first contribution in fix: typo Tencent/ncnn#5709
@Shironana817 made their first contribution in remove support for arm32 Tencent/ncnn#5811
@GIBEREZ made their first contribution in benchncnn: add vim3 vulkan benchmark Tencent/ncnn#5821

Full Changelog: Tencent/ncnn@2024082...2024122

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