x86_hard_swish_layer_acc.cc AVX2指令崩溃

hello TNN team, 我们在使用tnn进行本地OCR推理。在上线了之后发生异常崩溃。经过dump分析该崩溃发生在AVX2指令中，具体在 x86_hard_swish_layer_acc.cc 的 _mm256_set1_ps 调用上。目前该崩溃仅存在线上环境，本地模拟无法重现。在搜索了TNN所有Issue后没有发现类似问题，查看x 86_hard_swish_layer_acc的历史记录也没有和问题相关的修复修改。以下是详细崩溃信息以及相关的崩溃dump文件。 tnn_dump.zip

1. 环境（environment）

Build OS and Version: Windows 10
RunTime OS Version: Windows 32bit
RunTime DEVICE: X86 win32

2. Github版本
branch：master

commit(optional):aff287b9afac32bd46c322e29598cab1a38ba30b

3. 编译方式(compile method) CMake完整编译参数(full cmake arguments) cmake %TNN_SRC_DIR% ^ -DCMAKE_GENERATOR_PLATFORM=Win32 ^ -DCMAKE_BUILD_TYPE=Release^ -DCMAKE_SYSTEM_NAME=Windows ^ -DTNN_CPU_ENABLE=ON ^ -DTNN_X86_ENABLE=ON ^ -DTNN_TEST_ENABLE=OFF ^ -DTNN_LIB_PATH=%TNN_LIB_PATH% ^ -DINTTYPES_FORMAT=C99

4. 编译日志(build log)

"build tnn static"
A subdirectory or file build_tnn_win32 already exists.
-- Selecting Windows SDK version 10.0.18362.0 to target Windows .
F:/Project/KAIProject/CV-AI/TNN
F:/Project/KAIProject/CV-AI/TNN
-- >>>>>>>>>>>>>
-- TNN BUILD INFO:
--      System: Windows
--      Processor:
--      Cpu:    ON
--      X86:    ON
--      Arm:    OFF
--      Arm82:  OFF
--      Metal:  OFF
--      OpenCL: OFF
--      CUDA:   OFF
--      DSP:    OFF
--      Atlas:  OFF
--      TensorRT:       OFF
--      AppleNPU:       OFF
--      HuaweiNPU:      OFF
--      RKNPU:  OFF
--      Jetson Nano:    OFF
--      OpenVINO:       OFF
--      OpenMP: OFF
--      TEST:   OFF
--      --Unit Test:    OFF
--      Quantization:   OFF
--      ModelCheck:     OFF
--      DEBUG:
--      PROFILE:        OFF
--      BENCHMARK:      OFF
--      BENCHMARK Layer:        OFF
--      Model Converter:        OFF
--      ONNX2TNN Converter:     OFF
--      TNN2MEM:        OFF
--      BENCHMARK Test Lib:     OFF
--      Dynamic Range Quantization:     OFF
--      SHARING_MEM_WITH_OPENGL:
-- Configuring done
-- Generating done
-- Build files have been written to: F:/Project/KAIProject/CV-AI/build/build_tnn_win32
用于 .NET Framework 的 Microsoft (R) 生成引擎版本 16.4.0+e901037fe
版权所有(C) Microsoft Corporation。保留所有权利。

TNNCpu.vcxproj -> F:\Project\KAIProject\CV-AI\build\build_tnn_win32\source\tnn\device\cpu\TNNCpu.dir\Debug\TNNCpu.lib
TNNX86.vcxproj -> F:\Project\KAIProject\CV-AI\build\build_tnn_win32\source\tnn\device\x86\TNNX86.dir\Debug\TNNX86.lib
TNNX86ACC.vcxproj -> F:\Project\KAIProject\CV-AI\build\build_tnn_win32\source\tnn\device\x86\TNNX86ACC.dir\Debug\TNNX
86ACC.lib
TNN.vcxproj -> F:\Project\KAIProject\CV-AI\build\build_tnn_win32\Debug\TNN.lib
"build_win"
A subdirectory or file build_win32 already exists.
-- Selecting Windows SDK version 10.0.18362.0 to target Windows .
-- F:\Project\KAIProject\CV-AI\script\..\build\build_tnn_win32\
-- >>> 1
-- OpenCV ARCH: x86
-- OpenCV RUNTIME: vc16
-- OpenCV STATIC: OFF
-- Found OpenCV 4.1.0 in F:/Project/KAIProject/CV-AI/demo/third_party/opencv/libs/win/win32/x86/vc16/lib
-- You might need to add F:\Project\KAIProject\CV-AI\demo\third_party\opencv\libs\win\win32\x86\vc16\bin to your PATH to be able to run your applications.
-- Configuring done
-- Generating done
-- Build files have been written to: F:/Project/KAIProject/CV-AI/build/build_win32
用于 .NET Framework 的 Microsoft (R) 生成引擎版本 16.4.0+e901037fe
版权所有(C) Microsoft Corporation。保留所有权利。

ktnn_engine.vcxproj -> F:\Project\KAIProject\CV-AI\build\build_win32\Debug\ktnn_engine.dll

5. 详细描述bug 情况 (Describe the bug) 基于TNN封装了自研的OCR模型，在线上发生偶现崩溃。崩溃位置在 x86_hard_swish_layer_acc的代码

alpha_ = _mm256_set1_ps(alpha);

崩溃信息

异常代码 0xC000001D
异常信息 该线程尝试执行无效的指令

该异常在本地不能重现，尝试intel的SDE进行CPU模拟，也不能重现问题。怀疑是AMD CPU环境导致崩溃。

6. 运行日志（runtime log） 崩溃堆栈信息

![image](https://github.com/Tencent/TNN/assets/37130296/bc0d7c21-491b-46ab-9608-59476c8afc23)

7. 截图（Screenshots） 崩溃汇编位置

![image](https://github.com/Tencent/TNN/assets/37130296/937ecc01-ac72-4b11-856a-b17707736b3c)

Tencent / TNN

x86_hard_swish_layer_acc.cc AVX2指令崩溃 #1967