ncnn Files

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 https://github.com/Tencent/ncnn/pull/5709
• @Shironana817 made their first contribution in https://github.com/Tencent/ncnn/pull/5811
• @GIBEREZ made their first contribution in https://github.com/Tencent/ncnn/pull/5821

Full Changelog: https://github.com/Tencent/ncnn/compare/20240820...20241226