build(deps): bump pnnx from 20251031 to 20260526 in /requirements

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Bumps pnnx from 20251031 to 20260526.

Release notes

Sourced from pnnx's releases.

android harmonyos ios macos linux windows webassembly watchos tvos visionos 预编译库 20260526 e54f7b1

编译版本，默认配置，android-ndk-r29，ohos-sdk-5.0.3，xcode 16.4，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-harmonyos.zip	harmonyos 静态库/动态库	armeabi-v7a + arm64-v8a + x86_64
ncnn-harmonyos-vulkan.zip	harmonyos 静态库/动态库，支持 GPU	armeabi-v7a + arm64-v8a + x86_64
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

重点概览

• 新增 HarmonyOS 预编译包发布流程，release 产物覆盖 CPU/Vulkan、静态/动态库，以及 armeabi-v7a、arm64-v8a、x86_64 三种架构。（#6746）
• Vulkan 后端新增 SDPA/FlashAttention、RotaryEmbed、GroupNorm、Reduction、Unfold、Softplus、Shrink 等算子，并引入持久化 pipeline cache、mmap 模型加载、host memory 权重驻留和逐层权重上传，明显面向大模型与长启动耗时优化。（@​futz12, @​CLV-Iclucia, #6514, #6702, #6537, #6531, #6534）
• x86 后端大规模补齐 bf16 storage 路径，覆盖 GEMM、Convolution、InnerProduct、Deconvolution、Pooling、Interp、归一化、激活、逐元素、量化/反量化等层，并增加 AVX512BF16 dispatch 和多项 micro-kernel 优化。（#6598, #6624, #6626, #6680）
• ARM 后端新增 ARM SDPA 实现，并为 ARMv8.4 BF16 优化 GEMM、Convolution im2col-GEMM、InnerProduct、MultiHeadAttention；同时补齐 ERF、ELU、GELU、SELU 的 NEON/fp16 SIMD 实现。（@​Abandon-ht, @​futz12, #6698, #6714, #6715, #6716, #6717, #6605）
• RISC-V RVV、MIPS MSA、LoongArch LSX/LASX 后端继续扩展，重点补齐 packed convolution/deconvolution、GEMM、量化/反量化、常见 unary/binary op、bf16/int8 和 4D Mat 支持。（#6662, #6740, #6636, #6658, #6695）
• pnnx 支持 .npy 真实输入、输出 FLOPS/memory OPS 统计，兼容 PyTorch 2.10/2.11，修复非对称 padding + conv 融合、Conv2d padding tuple 归一化、Erf 表达式落层等转换问题。（@​MollySophia, @​Yeuvoir, @​crafcat7, #6700, #5836, #6592, #6701, #6694）
• 新增 benchncnn_llm 和算子级 perf 基础设施，benchmark 覆盖 LLM prefill/decode 与更多 CPU/GPU 算子性能回归。（#6711, #6570, #6632）

Vulkan / GPU

• 新增 Vulkan SDPA 层和 FlashAttention 路径，基础实现包含 2x2 unroll 和 local memory 优化，后续补齐统一 cross-attention shader、cooperative matrix 与非 cooperative matrix 两套 FlashAttention 实现，支持 mask、KV cache concat 和 chunk 化输出调度。（#6514, #6521, #6528, #6538）
• GEMM/SDPA cooperative matrix 和 subgroup 路径继续优化，加入 bf16/fp16 cooperative matrix、4x4 unroll、向量化加载、bank conflict 规避与 packed GEMM；后续限制 bf16 cooperative matrix 用法，避免不匹配的数据布局。（@​futz12, #6515, #6524, #6573, #6632）
• 新增 Vulkan RotaryEmbed、GroupNorm、Reduction、Unfold、Softplus、Shrink 算子，减少 Transformer、norm、shape 处理和常见激活在 GPU 图中的 CPU fallback。（@​futz12, #6519, #6556, #6476, #6543, #6478, #6479）
• Convolution、Convolution 1x1s1d1、Convolution GEMM、Convolution1D、Deconvolution、Deconvolution GEMM 的多个 pack1/pack4/pack1to4/pack4to1 shader 合并为统一 packed elempack shader，通过 specialization 控制输入输出 packing，减少 shader 和 pipeline 组合数量。（#6561, #6562, #6565, #6566, #6564, #6572）
• Conv1D Vulkan 在 fp16 条件下为 1x1s1d1 和 GEMM 路径增加 cooperative matrix，并将权重重新打包为 tile layout，以提升大通道 Conv1D 吞吐。（@​futz12, #6587）

... (truncated)

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