Google Protobuf will not build under ARM64

最新推荐文章于 2024-08-20 16:25:40 发布
转载 最新推荐文章于 2024-08-20 16:25:40 发布 · 4.1k 阅读 · 2
文章标签：

#protobuf #xcode #iphone 5s

文章详细介绍了在使用protobuf-2.5.0版本于MacOSX构建iOS64-bit项目时遇到的#errorHostarchitecturewasnotdetectedassupportedbyprotobuf错误，并提供了一个工作修复方案。通过在platform_macros.h文件中修改宏定义，解决了问题并在iPhone5s设备上验证了修复方案的有效性。 
What steps will reproduce the problem?
1. Build Google protobuf code for ARM64 target

What is the expected output? What do you see instead?
I expected it to buid cleanly, instead I hit the "#error Host architecture was not detected as supported by protobuf" preprocessor macro.

What version of the product are you using? On what operating system?
I'm using protobuf-2.5.0 on MacOSX building for iOS 64-bit. 




I have a workaround. It build without error but I DIDN'T TEST IT ON A REAL DEVICE.
Could someone test it and tell us if it's ok ?

In platform_macros.h, Replace
#else
#error Host architecture was not detected as supported by protobuf
#endif

By:
#elif defined(__aarch64__)
#define GOOGLE_PROTOBUF_ARCH_ARM 1
#define GOOGLE_PROTOBUF_ARCH_64_BIT 1
#else
#error Host architecture was not detected as supported by protobuf
#endif



I checked on device (iPhone 5s). It works fine with this workaround.





文章来源：https://code.google.com/p/protobuf/issues/detail?id=575


                

        

    


  



    



                



	

		

			

				
					
Mac 安装 ClickHouse 报错： Mac 10.15.4: Cannot find objcopy

				
			

			

				

					AI天才研究院
				

				

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Solution
run the command below:
$ brew install binutils
Updating Homebrew...
==> Auto-updated Homebrew!
Updated 1 tap (homebrew/cask).
==> Updated Casks
Updated 2 casks.

==> Downloading http...

			
		

	



                

            
              



	

		

			

				
					
嵌入式Linux开发: 移植QT5.12.6到ARM平台(Tiny4412_armv7_32位)

				
			

			

				

					
				

				

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一、环境介绍

宿主机:Ubuntu18.0464位

目标开发板型号: 友善之臂Tiny4412

目标开发板操作系统: 使用busybox制作，内核使用官方3.5内核。

使用的编译器版本:友善之臂光盘里自带的交叉编译器版本是4.5.1，QT5.6之后的源码使用4.5.1版本的编译器无法编译通过，需要高版本的交叉编译器，这里下载了最新的交叉编译器gcc-linaro-7.5.0-2019.12-x86_64_arm-linux-gnueabihf.tar.xz。

之前的文章里和公众号里已经讲...

			
		

	



              


  
              

                


	

		

			

				
					
银河麒麟高级服务器操作系统 V10 SP1 ARM64 之 protobuf安装

				
			

			

				

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安装protobuf
1、由于Hadoop底层的序列化用到了Protobuf框架，因此在对hadoop进行源码编译之前一定要确保平台安装了Protobuf软件，由于Hadoop底层使用了Protobuf-2.5.0因此需要下载相关软件protobuf-2.5.0.tar.gz这里需要注意由于平台使用的是银河麒麟高级服务器操作系统 V10 SP1 ARM64操作系统因此无法使用通用的方法安装序列化软件
 #error Host architecture was not detected as supporte

			
		

	





	

		

			

				
					
编译protobuf 2.5 arm版本遇到的问题

				
			

			

				

					多看多听多总结
				

				

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在指定–host=aarch64-linux-gnu时报不支持defineddefined11。

			
		

	



		

			
		



	

		

			

				
					
android 32位 v8编译错误,makefile - android使用arm64-v8a ABI编译错误“未定义引用” - 堆栈内存溢出...

				
			

			

				

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环境：protocol buffer: 2.5.0ndk: android-ndk-r13bant: apache-ant-1.9.4cocos2d-x: 3.12os: mac 10.12但是最近我必须将arm64-v8a添加到APP_ABI中，并且开始出现以下错误：stubs/once.h:125: undefined reference togoogle::protobuf::interna...

			
		

	





	

		

			

				
					
ios开发使用xcode6打包protobuf静态库 解决了 官方引用 protobuf 导致的冲突问题 包含 arm64 支持

				
			

			

				

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1、下载 protobuf－2.5.0-mast
，并解压


2、在解压后的  目录内部建立一个 目录 名字随便写，我这里写的 是 xcodeProject 如图：

			
		

	





	

		

			

				
					
arm64交叉编译protobuf 3.12.0

				
			

			

				

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arm64交叉编译 protobuf  

			
		

	





	

		

			

				
					
好像卡住了”(.venv) PS E:\PyTorch_Build\pytorch> # 1. 准备工作空间
(.venv) PS E:\PyTorch_Build\pytorch> $sourceDir = "E:\PyTorch_Build\pytorch"
(.venv) PS E:\PyTorch_Build\pytorch> $buildDir = "$sourceDir\build"
(.venv) PS E:\PyTorch_Build\pytorch> $installDir = "$sourceDir\install"
(.venv) PS E:\PyTorch_Build\pytorch>
(.venv) PS E:\PyTorch_Build\pytorch> # 清理工作区
(.venv) PS E:\PyTorch_Build\pytorch> Remove-Item -Path $buildDir -Recurse -Force -ErrorAction SilentlyContinue
(.venv) PS E:\PyTorch_Build\pytorch> Remove-Item -Path $installDir -Recurse -Force -ErrorAction SilentlyContinue
(.venv) PS E:\PyTorch_Build\pytorch> New-Item -Path $buildDir -ItemType Directory -Force | Out-Null
(.venv) PS E:\PyTorch_Build\pytorch> New-Item -Path $installDir -ItemType Directory -Force | Out-Null
(.venv) PS E:\PyTorch_Build\pytorch>
(.venv) PS E:\PyTorch_Build\pytorch> # 2. 设置环境变量
(.venv) PS E:\PyTorch_Build\pytorch> $env:Path = "C:\Program Files\CMake\bin;E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin;E:\Python310;$env:Path"
(.venv) PS E:\PyTorch_Build\pytorch> $env:CUDA_PATH = "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0"
(.venv) PS E:\PyTorch_Build\pytorch>
(.venv) PS E:\PyTorch_Build\pytorch> # 3. 安装正确的 CMake 版本
(.venv) PS E:\PyTorch_Build\pytorch> Write-Host "安装 CMake 3.28..."
安装 CMake 3.28...
(.venv) PS E:\PyTorch_Build\pytorch> Invoke-WebRequest -Uri "https://github.com/Kitware/CMake/releases/download/v3.28.3/cmake-3.28.3-windows-x86_64.msi" -OutFile "$env:TEMP\cmake.msi"
Invoke-WebRequest: One or more errors occurred. (The response ended prematurely. (ResponseEnded))
(.venv) PS E:\PyTorch_Build\pytorch> Start-Process msiexec -ArgumentList "/i `"$env:TEMP\cmake.msi`" /quiet" -Wait
(.venv) PS E:\PyTorch_Build\pytorch> $env:Path = "C:\Program Files\CMake\bin;$env:Path"
(.venv) PS E:\PyTorch_Build\pytorch>
(.venv) PS E:\PyTorch_Build\pytorch> # 4. 生成 CMake 配置
(.venv) PS E:\PyTorch_Build\pytorch> Set-Location $buildDir
(.venv) PS E:\PyTorch_Build\pytorch\build>
(.venv) PS E:\PyTorch_Build\pytorch\build> $cmakeCommand = @"
>> cmake $sourceDir `
>> -G "Visual Studio 17 2022" -A x64 `
>> -DCMAKE_INSTALL_PREFIX="$installDir" `
>> -DCMAKE_TOOLCHAIN_FILE="$sourceDir/cmake/modules/win_toolchain.cmake" `
>> -DBUILD_PYTHON=ON `
>> -DPython_EXECUTABLE="E:\Python310\python.exe" `
>> -DUSE_CUDA=ON `
>> -DUSE_CUDNN=ON `
>> -DCUDNN_INCLUDE_DIR="E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\include" `
>> -DCUDNN_LIBRARY="E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cudnn.lib" `
>> -DUSE_MKLDNN=OFF `
>> -DUSE_DNNL=OFF `
>> -DUSE_STATIC_OPENMP=ON `
>> -DBUILD_TEST=OFF `
>> -DBUILD_TORCH=ON `
>> -DCMAKE_BUILD_TYPE=Release
>> "@
(.venv) PS E:\PyTorch_Build\pytorch\build>
(.venv) PS E:\PyTorch_Build\pytorch\build> Invoke-Expression $cmakeCommand 2>&1 | Tee-Object -FilePath "$buildDir\cmake_configure.log"
-- Building for: Visual Studio 17 2022
-- Selecting Windows SDK version 10.0.26100.0 to target Windows .
-- The CXX compiler identification is MSVC 19.44.35215.0
-- The C compiler identification is MSVC 19.44.35215.0
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Not forcing any particular BLAS to be found
-- Build type not set - defaulting to Release
-- Performing Test C_HAS_AVX_1
-- Performing Test C_HAS_AVX_1 - Success
-- Performing Test C_HAS_AVX2_1
-- Performing Test C_HAS_AVX2_1 - Success
-- Performing Test C_HAS_AVX512_1
-- Performing Test C_HAS_AVX512_1 - Success
-- Performing Test CXX_HAS_AVX_1
-- Performing Test CXX_HAS_AVX_1 - Success
-- Performing Test CXX_HAS_AVX2_1
-- Performing Test CXX_HAS_AVX2_1 - Success
-- Performing Test CXX_HAS_AVX512_1
-- Performing Test CXX_HAS_AVX512_1 - Success
-- Current compiler supports avx2 extension. Will build perfkernels.
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Failed
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Failed
-- Could not find hardware support for NEON on this machine.
-- No OMAP3 processor on this machine.
-- No OMAP4 processor on this machine.
-- Compiler does not support SVE extension. Will not build perfkernels.
-- Performing Test HAS/UTF_8
-- Performing Test HAS/UTF_8 - Success
-- Could NOT find CUDA (missing: CUDA_TOOLKIT_ROOT_DIR) (found version "13.0")
-- Building using own protobuf under third_party per request.
-- Use custom protobuf build.
--
-- 3.13.0.0
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - not found
-- Found Threads: TRUE
-- Caffe2 protobuf include directory: $<BUILD_INTERFACE:E:/PyTorch_Build/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include>
-- Trying to find preferred BLAS backend of choice: MKL
-- MKL_THREADING = OMP
-- Looking for sys/types.h
-- Looking for sys/types.h - found
-- Looking for stdint.h
-- Looking for stdint.h - found
-- Looking for stddef.h
-- Looking for stddef.h - found
-- Check size of void*
-- Check size of void* - done
-- MKL_THREADING = OMP
-- MKL_THREADING = OMP
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_sequential - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - libiomp5md - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl - guide - pthread - m]
--   Library mkl: not found
-- MKL library not found
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Checking for [Accelerate]
--   Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND
-- Checking for [vecLib]
--   Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND
-- Checking for [flexiblas]
--   Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND
-- Checking for [openblas]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m - gomp]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [libopenblas]
--   Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran - pthread]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [acml - gfortran]
--   Library acml: BLAS_acml_LIBRARY-NOTFOUND
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY)
-- Checking for [ptf77blas - atlas - gfortran]
--   Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND
-- Checking for []
-- Looking for sgemm_
-- Looking for sgemm_ - not found
-- Cannot find a library with BLAS API. Not using BLAS.
-- Using pocketfft in directory: E:/PyTorch_Build/pytorch/third_party/pocketfft/
-- Using third party subdirectory Eigen.
-- Found Python: E:/Python310/python.exe (found version "3.10.10") found components: Interpreter Development.Module NumPy
-- Using third_party/pybind11.
-- pybind11 include dirs: E:/PyTorch_Build/pytorch/cmake/../third_party/pybind11/include
-- Could NOT find OpenTelemetryApi (missing: OpenTelemetryApi_INCLUDE_DIRS)
-- Using third_party/opentelemetry-cpp.
-- opentelemetry api include dirs: E:/PyTorch_Build/pytorch/cmake/../third_party/opentelemetry-cpp/api/include
-- Could NOT find MPI_C (missing: MPI_C_LIB_NAMES MPI_C_HEADER_DIR MPI_C_WORKS)
-- Could NOT find MPI_CXX (missing: MPI_CXX_LIB_NAMES MPI_CXX_HEADER_DIR MPI_CXX_WORKS)
-- Could NOT find MPI (missing: MPI_C_FOUND MPI_CXX_FOUND)
-- MKL_THREADING = OMP
-- Check OMP with lib C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib and flags -openmp:experimental
-- MKL_THREADING = OMP
-- Check OMP with lib C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib and flags -openmp:experimental
-- Found OpenMP_C: -openmp:experimental
-- Found OpenMP_CXX: -openmp:experimental
-- Found OpenMP: TRUE
-- Adding OpenMP CXX_FLAGS: -openmp:experimental
-- Will link against OpenMP libraries: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib
-- Found nvtx3: E:/PyTorch_Build/pytorch/third_party/NVTX/c/include
-- ROCM_PATH environment variable is not set and C:/opt/rocm does not exist.
Building without ROCm support.
-- Found Python3: E:/Python310/python.exe (found version "3.10.10") found components: Interpreter
-- ONNX_PROTOC_EXECUTABLE: $<TARGET_FILE:protobuf::protoc>
-- Protobuf_VERSION: Protobuf_VERSION_NOTFOUND
--
-- ******** Summary ********
--   CMake version                     : 4.1.0
--   CMake command                     : E:/Python310/Lib/site-packages/cmake/data/bin/cmake.exe
--   System                            : Windows
--   C++ compiler                      : C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe
--   C++ compiler version              : 19.44.35215.0
--   CXX flags                         : /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /MP /bigobj /FS /utf-8 /EHsc /wd26812
--   Build type                        : Release
--   Compile definitions               : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1
--   CMAKE_PREFIX_PATH                 :
--   CMAKE_INSTALL_PREFIX              : C:/Program Files (x86)/Torch
--   CMAKE_MODULE_PATH                 : E:/PyTorch_Build/pytorch/cmake/Modules;E:/PyTorch_Build/pytorch/cmake/public/../Modules_CUDA_fix
--
--   ONNX version                      : 1.18.0
--   ONNX NAMESPACE                    : onnx_torch
--   ONNX_USE_LITE_PROTO               : OFF
--   USE_PROTOBUF_SHARED_LIBS          : OFF
--   ONNX_DISABLE_EXCEPTIONS           : OFF
--   ONNX_DISABLE_STATIC_REGISTRATION  : OFF
--   ONNX_WERROR                       : OFF
--   ONNX_BUILD_TESTS                  : OFF
--   BUILD_SHARED_LIBS                 : OFF
--
--   Protobuf compiler                 : $<TARGET_FILE:protobuf::protoc>
--   Protobuf includes                 :
--   Protobuf libraries                :
--   ONNX_BUILD_PYTHON                 : OFF
-- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor
-- Adding -DNDEBUG to compile flags
-- Could not find hardware support for NEON on this machine.
-- No OMAP3 processor on this machine.
-- No OMAP4 processor on this machine.
-- MKL_THREADING = OMP
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_sequential - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - libiomp5md - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl - guide - pthread - m]
--   Library mkl: not found
-- MKL library not found
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Checking for [Accelerate]
--   Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND
-- Checking for [vecLib]
--   Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND
-- Checking for [flexiblas]
--   Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND
-- Checking for [openblas]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m - gomp]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [libopenblas]
--   Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran - pthread]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [acml - gfortran]
--   Library acml: BLAS_acml_LIBRARY-NOTFOUND
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY)
-- Checking for [ptf77blas - atlas - gfortran]
--   Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND
-- Checking for []
-- Cannot find a library with BLAS API. Not using BLAS.
-- LAPACK requires BLAS
-- Cannot find a library with LAPACK API. Not using LAPACK.
-- MIOpen not found. Compiling without MIOpen support
-- {fmt} version: 11.2.0
-- Build type: Release
-- Using CPU-only version of Kineto
-- Configuring Kineto dependency:
--   KINETO_SOURCE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto
--   KINETO_BUILD_TESTS = OFF
--   KINETO_LIBRARY_TYPE = static
-- Found PythonInterp: E:/Python310/python.exe (found version "3.10.10")
--  CUDA_SOURCE_DIR =
--  ROCM_SOURCE_DIR =
--  CUPTI unavailable or disabled - not building GPU profilers
-- Kineto: FMT_SOURCE_DIR = E:/PyTorch_Build/pytorch/third_party/fmt
-- Kineto: FMT_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/fmt/include
--  CUPTI_INCLUDE_DIR = /extras/CUPTI/include
--  ROCTRACER_INCLUDE_DIR = /include/roctracer
--  DYNOLOG_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto/third_party/dynolog/
--  IPCFABRIC_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/
-- Configured Kineto (CPU)
-- Performing Test HAS/WD4624
-- Performing Test HAS/WD4624 - Success
-- Performing Test HAS/WD4068
-- Performing Test HAS/WD4068 - Success
-- Performing Test HAS/WD4067
-- Performing Test HAS/WD4067 - Success
-- Performing Test HAS/WD4267
-- Performing Test HAS/WD4267 - Success
-- Performing Test HAS/WD4661
-- Performing Test HAS/WD4661 - Success
-- Performing Test HAS/WD4717
-- Performing Test HAS/WD4717 - Success
-- Performing Test HAS/WD4244
-- Performing Test HAS/WD4244 - Success
-- Performing Test HAS/WD4804
-- Performing Test HAS/WD4804 - Success
-- Performing Test HAS/WD4273
-- Performing Test HAS/WD4273 - Success
-- Performing Test HAS_WNO_STRINGOP_OVERFLOW
-- Performing Test HAS_WNO_STRINGOP_OVERFLOW - Failed
-- Found Git: E:/Program Files/Git/cmd/git.exe (found version "2.51.0.windows.1")
--
-- Note: when building with Visual Studio the build type is specified when building.
-- For example: 'cmake --build . --config=Release
-- Architecture:
-- Use the C++ compiler to compile (MI_USE_CXX=ON)
--
-- Library name     : mimalloc
-- Version          : 2.2.4
-- Build type       : release
-- C++ Compiler     : C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe
-- Compiler flags   : /Zc:__cplusplus
-- Compiler defines : MI_CMAKE_BUILD_TYPE=release;MI_BUILD_RELEASE
-- Link libraries   : psapi;shell32;user32;advapi32;bcrypt
-- Build targets    : static
--
-- don't use NUMA
-- Looking for backtrace
-- Looking for backtrace - not found
-- Could NOT find Backtrace (missing: Backtrace_LIBRARY Backtrace_INCLUDE_DIR)
-- headers outputs:
torch\csrc\inductor\aoti_torch\generated\c_shim_cuda.h not found
torch\csrc\inductor\aoti_torch\generated\c_shim_cpu.h not found
torch\csrc\inductor\aoti_torch\generated\c_shim_aten.h not found
-- sources outputs:
-- declarations_yaml outputs:
-- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT
-- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT - Failed
-- Using ATen parallel backend: OMP
-- Check size of long double
-- Check size of long double - done
-- Performing Test COMPILER_SUPPORTS_FLOAT128
-- Performing Test COMPILER_SUPPORTS_FLOAT128 - Failed
-- Found OpenMP_C: -openmp:experimental (found version "2.0")
-- Found OpenMP_CXX: -openmp:experimental (found version "2.0")
-- Found OpenMP: TRUE (found version "2.0")
-- Performing Test COMPILER_SUPPORTS_OPENMP
-- Performing Test COMPILER_SUPPORTS_OPENMP - Success
-- Performing Test COMPILER_SUPPORTS_OMP_SIMD
-- Performing Test COMPILER_SUPPORTS_OMP_SIMD - Failed
-- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES
-- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES - Failed
-- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH
-- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH - Failed
-- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM
-- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM - Failed
-- Configuring build for SLEEF-v3.8.0
-- Using option `/D_CRT_SECURE_NO_WARNINGS /D_CRT_NONSTDC_NO_DEPRECATE  ` to compile libsleef
-- Building shared libs : OFF
-- Building static test bins: OFF
-- MPFR : LIB_MPFR-NOTFOUND
-- GMP : LIBGMP-NOTFOUND
-- RT :
-- FFTW3 : LIBFFTW3-NOTFOUND
-- OPENSSL :
-- SDE : SDE_COMMAND-NOTFOUND
-- COMPILER_SUPPORTS_OPENMP : FALSE
--
-- ******** Summary ********
-- General:
--   CMake version         : 4.1.0
--   CMake command         : E:/Python310/Lib/site-packages/cmake/data/bin/cmake.exe
--   System                : Windows
--   C++ compiler          : C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe
--   C++ compiler id       : MSVC
--   C++ compiler version  : 19.44.35215.0
--   Using ccache if found : OFF
--   CXX flags             : /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /MP /bigobj /FS /utf-8 -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273
--   Shared LD flags       : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099
--   Static LD flags       : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099
--   Module LD flags       : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099
--   Build type            : Release
--   Compile definitions   : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;ONNX_NAMESPACE=onnx_torch;_CRT_SECURE_NO_DEPRECATE=1;USE_EXTERNAL_MZCRC;MINIZ_DISABLE_ZIP_READER_CRC32_CHECKS;EXPORT_AOTI_FUNCTIONS;WIN32_LEAN_AND_MEAN;_UCRT_LEGACY_INFINITY;NOMINMAX;USE_MIMALLOC
--   CMAKE_PREFIX_PATH     :
--   CMAKE_INSTALL_PREFIX  : C:/Program Files (x86)/Torch
--   USE_GOLD_LINKER       : OFF
--
--   TORCH_VERSION         : 2.9.0
--   BUILD_STATIC_RUNTIME_BENCHMARK: OFF
--   BUILD_BINARY          : OFF
--   BUILD_CUSTOM_PROTOBUF : ON
--     Link local protobuf : ON
--   BUILD_PYTHON          : ON
--     Python version      : 3.10.10
--     Python executable   : E:/Python310/python.exe
--     Python library      : E:/Python310/libs/python310.lib
--     Python includes     : E:/Python310/include
--     Python site-package : E:\Python310\Lib\site-packages
--   BUILD_SHARED_LIBS     : ON
--   CAFFE2_USE_MSVC_STATIC_RUNTIME     : OFF
--   BUILD_TEST            : OFF
--   BUILD_JNI             : OFF
--   BUILD_MOBILE_AUTOGRAD : OFF
--   BUILD_LITE_INTERPRETER: OFF
--   INTERN_BUILD_MOBILE   :
--   TRACING_BASED         : OFF
--   USE_BLAS              : 0
--   USE_LAPACK            : 0
--   USE_ASAN              : OFF
--   USE_TSAN              : OFF
--   USE_CPP_CODE_COVERAGE : OFF
--   USE_CUDA              : OFF
--   USE_XPU               : OFF
--   USE_ROCM              : OFF
--   BUILD_NVFUSER         :
--   USE_EIGEN_FOR_BLAS    : ON
--   USE_EIGEN_FOR_SPARSE  : OFF
--   USE_FBGEMM            : OFF
--   USE_KINETO            : ON
--   USE_GFLAGS            : OFF
--   USE_GLOG              : OFF
--   USE_LITE_PROTO        : OFF
--   USE_PYTORCH_METAL     : OFF
--   USE_PYTORCH_METAL_EXPORT     : OFF
--   USE_MPS               : OFF
--   CAN_COMPILE_METAL     :
--   USE_MKL               : OFF
--   USE_MKLDNN            : OFF
--   USE_UCC               : OFF
--   USE_ITT               : OFF
--   USE_XCCL              : OFF
--   USE_NCCL              : OFF
--   Found NVSHMEM         :
--   USE_NNPACK            : OFF
--   USE_NUMPY             : ON
--   USE_OBSERVERS         : ON
--   USE_OPENCL            : OFF
--   USE_OPENMP            : ON
--   USE_MIMALLOC          : ON
--     USE_MIMALLOC_ON_MKL   : OFF
--   USE_VULKAN            : OFF
--   USE_PROF              : OFF
--   USE_PYTORCH_QNNPACK   : OFF
--   USE_XNNPACK           : OFF
--   USE_DISTRIBUTED       : OFF
--   Public Dependencies  :
--   Private Dependencies : Threads::Threads;cpuinfo;fp16;caffe2::openmp;fmt::fmt-header-only;kineto
--   Public CUDA Deps.    :
--   Private CUDA Deps.   :
--   USE_COREML_DELEGATE     : OFF
--   BUILD_LAZY_TS_BACKEND   : ON
--   USE_ROCM_KERNEL_ASSERT : OFF
-- Performing Test HAS_WMISSING_PROTOTYPES
-- Performing Test HAS_WMISSING_PROTOTYPES - Failed
-- Performing Test HAS_WERROR_MISSING_PROTOTYPES
-- Performing Test HAS_WERROR_MISSING_PROTOTYPES - Failed
-- Configuring incomplete, errors occurred!
(.venv) PS E:\PyTorch_Build\pytorch\build>
(.venv) PS E:\PyTorch_Build\pytorch\build> # 5. 编译和安装
(.venv) PS E:\PyTorch_Build\pytorch\build> cmake --build . --config Release --target install -j 8 2>&1 | Tee-Object -FilePath "$buildDir\cmake_build.log"
閫傜敤浜?.NET Framework MSBuild 鐗堟湰 17.14.19+164abd434
MSBUILD : error MSB1009: 椤圭洰鏂囦欢涓嶅瓨鍦ㄣ€?
寮€鍏?install.vcxproj
(.venv) PS E:\PyTorch_Build\pytorch\build>
(.venv) PS E:\PyTorch_Build\pytorch\build> # 6. 安装 Python 绑定
(.venv) PS E:\PyTorch_Build\pytorch\build> Set-Location $sourceDir
(.venv) PS E:\PyTorch_Build\pytorch> & "E:\Python310\python.exe" setup.py develop --cmake --no-deps
Building wheel torch-2.9.0a0+git2d31c3d
-- Building version 2.9.0a0+git2d31c3d
-- Checkout nccl release tag: v2.27.5-1
cmake -GVisual Studio 17 2022 -Ax64 -Thost=x64 -DBUILD_ONLY_CORE=1 -DBUILD_PYTHON=True -DBUILD_SHARED_LIBS=OFF -DBUILD_TEST=True -DBUILD_TORCH=1 -DCMAKE_BUILD_TYPE=Release -DCMAKE_EXE_LINKER_FLAGS=-static -DCMAKE_GENERATOR=Visual Studio 17 2022 -DCMAKE_INSTALL_PREFIX=E:\PyTorch_Build\pytorch\torch -DCMAKE_PREFIX_PATH=E:\Python310\Lib\site-packages -DCMAKE_TOOLCHAIN_FILE=E:\PyTorch_Build\pytorch\cmake\modules\win_toolchain.cmake -DPython_EXECUTABLE=E:\Python310\python.exe -DPython_NumPy_INCLUDE_DIR=E:\Python310\lib\site-packages\numpy\core\include -DTORCH_BUILD_VERSION=2.9.0a0+git2d31c3d -DUSE_NINJA=0 -DUSE_NUMPY=True -DUSE_STATIC_CUDNN=ON -DUSE_STATIC_NCCL=ON -DUSE_STATIC_OPENMP=ON E:\PyTorch_Build\pytorch
CMake Deprecation Warning at CMakeLists.txt:18 (cmake_policy):
  The OLD behavior for policy CMP0126 will be removed from a future version
  of CMake.

  The cmake-policies(7) manual explains that the OLD behaviors of all
  policies are deprecated and that a policy should be set to OLD only under
  specific short-term circumstances.  Projects should be ported to the NEW
  behavior and not rely on setting a policy to OLD.


-- Selecting Windows SDK version 10.0.26100.0 to target Windows .
-- The CXX compiler identification is MSVC 19.44.35215.0
-- The C compiler identification is MSVC 19.44.35215.0
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Not forcing any particular BLAS to be found
CMake Warning at CMakeLists.txt:425 (message):
  TensorPipe cannot be used on Windows.  Set it to OFF


CMake Warning at CMakeLists.txt:427 (message):
  KleidiAI cannot be used on Windows.  Set it to OFF


CMake Warning at CMakeLists.txt:439 (message):
  Libuv is not installed in current conda env.  Set USE_DISTRIBUTED to OFF.
  Please run command 'conda install -c conda-forge libuv=1.39' to install
  libuv.


-- Performing Test C_HAS_AVX_1
-- Performing Test C_HAS_AVX_1 - Success
-- Performing Test C_HAS_AVX2_1
-- Performing Test C_HAS_AVX2_1 - Success
-- Performing Test C_HAS_AVX512_1
-- Performing Test C_HAS_AVX512_1 - Success
-- Performing Test CXX_HAS_AVX_1
-- Performing Test CXX_HAS_AVX_1 - Success
-- Performing Test CXX_HAS_AVX2_1
-- Performing Test CXX_HAS_AVX2_1 - Success
-- Performing Test CXX_HAS_AVX512_1
-- Performing Test CXX_HAS_AVX512_1 - Success
-- Current compiler supports avx2 extension. Will build perfkernels.
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Failed
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Failed
-- Could not find hardware support for NEON on this machine.
-- No OMAP3 processor on this machine.
-- No OMAP4 processor on this machine.
-- Compiler does not support SVE extension. Will not build perfkernels.
CMake Warning at CMakeLists.txt:845 (message):
  x64 operating system is required for FBGEMM.  Not compiling with FBGEMM.
  Turn this warning off by USE_FBGEMM=OFF.


-- Performing Test HAS/UTF_8
-- Performing Test HAS/UTF_8 - Success
-- Could NOT find CUDA (missing: CUDA_TOOLKIT_ROOT_DIR) (found version "13.0")
CMake Warning at cmake/public/cuda.cmake:31 (message):
  PyTorch: CUDA cannot be found.  Depending on whether you are building
  PyTorch or a PyTorch dependent library, the next warning / error will give
  you more info.
Call Stack (most recent call first):
  cmake/Dependencies.cmake:44 (include)
  CMakeLists.txt:873 (include)


CMake Warning at cmake/Dependencies.cmake:76 (message):
  Not compiling with CUDA.  Suppress this warning with -DUSE_CUDA=OFF.
Call Stack (most recent call first):
  CMakeLists.txt:873 (include)


CMake Warning at cmake/Dependencies.cmake:95 (message):
  Not compiling with XPU.  Could NOT find SYCL.  Suppress this warning with
  -DUSE_XPU=OFF.
Call Stack (most recent call first):
  CMakeLists.txt:873 (include)


-- Building using own protobuf under third_party per request.
-- Use custom protobuf build.
CMake Warning at cmake/ProtoBuf.cmake:37 (message):
  Ancient protobuf forces CMake compatibility
Call Stack (most recent call first):
  cmake/ProtoBuf.cmake:87 (custom_protobuf_find)
  cmake/Dependencies.cmake:107 (include)
  CMakeLists.txt:873 (include)


CMake Deprecation Warning at third_party/protobuf/cmake/CMakeLists.txt:2 (cmake_minimum_required):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


--
-- 3.13.0.0
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - not found
-- Found Threads: TRUE
-- Caffe2 protobuf include directory: $<BUILD_INTERFACE:E:/PyTorch_Build/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include>
-- Trying to find preferred BLAS backend of choice: MKL
-- MKL_THREADING = OMP
-- Looking for sys/types.h
-- Looking for sys/types.h - found
-- Looking for stdint.h
-- Looking for stdint.h - found
-- Looking for stddef.h
-- Looking for stddef.h - found
-- Check size of void*
-- Check size of void* - done
-- MKL_THREADING = OMP
CMake Warning at cmake/Dependencies.cmake:213 (message):
  MKL could not be found.  Defaulting to Eigen
Call Stack (most recent call first):
  CMakeLists.txt:873 (include)


CMake Warning at cmake/Dependencies.cmake:279 (message):
  Preferred BLAS (MKL) cannot be found, now searching for a general BLAS
  library
Call Stack (most recent call first):
  CMakeLists.txt:873 (include)


-- MKL_THREADING = OMP
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_sequential - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - libiomp5md - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl - guide - pthread - m]
--   Library mkl: not found
-- MKL library not found
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Checking for [Accelerate]
--   Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND
-- Checking for [vecLib]
--   Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND
-- Checking for [flexiblas]
--   Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND
-- Checking for [openblas]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m - gomp]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [libopenblas]
--   Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran - pthread]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [acml - gfortran]
--   Library acml: BLAS_acml_LIBRARY-NOTFOUND
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY)
-- Checking for [ptf77blas - atlas - gfortran]
--   Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND
-- Checking for []
-- Looking for sgemm_
-- Looking for sgemm_ - not found
-- Cannot find a library with BLAS API. Not using BLAS.
-- Using pocketfft in directory: E:/PyTorch_Build/pytorch/third_party/pocketfft/
CMake Warning at cmake/Dependencies.cmake:351 (message):
  Target architecture "" is not supported in {Q/X}NNPACK.  Supported
  architectures are x86, x86-64, ARM, and ARM64.  Turn this warning off by
  USE_{Q/X}NNPACK=OFF.
Call Stack (most recent call first):
  CMakeLists.txt:873 (include)


CMake Deprecation Warning at third_party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


CMake Warning at third_party/cpuinfo/CMakeLists.txt:93 (MESSAGE):
  Target processor architecture is not specified.  cpuinfo will compile, but
  cpuinfo_initialize() will always fail.


-- Found Git: E:/Program Files/Git/cmd/git.exe (found version "2.51.0.windows.1")
-- Google Benchmark version: v1.9.3, normalized to 1.9.3
-- Looking for shm_open in rt
-- Looking for shm_open in rt - not found
-- Performing Test HAVE_CXX_FLAG_WX
-- Performing Test HAVE_CXX_FLAG_WX - Success
-- Cross-compiling to test HAVE_STD_REGEX
CMake Warning at third_party/benchmark/cmake/CXXFeatureCheck.cmake:49 (message):
  If you see build failures due to cross compilation, try setting
  HAVE_STD_REGEX to 0
Call Stack (most recent call first):
  third_party/benchmark/CMakeLists.txt:311 (cxx_feature_check)


-- Performing Test HAVE_STD_REGEX -- success
-- Cross-compiling to test HAVE_GNU_POSIX_REGEX
-- Performing Test HAVE_GNU_POSIX_REGEX -- failed to compile
-- Cross-compiling to test HAVE_POSIX_REGEX
-- Performing Test HAVE_POSIX_REGEX -- failed to compile
-- Cross-compiling to test HAVE_STEADY_CLOCK
CMake Warning at third_party/benchmark/cmake/CXXFeatureCheck.cmake:49 (message):
  If you see build failures due to cross compilation, try setting
  HAVE_STEADY_CLOCK to 0
Call Stack (most recent call first):
  third_party/benchmark/CMakeLists.txt:322 (cxx_feature_check)


-- Performing Test HAVE_STEADY_CLOCK -- success
-- Cross-compiling to test HAVE_PTHREAD_AFFINITY
-- Performing Test HAVE_PTHREAD_AFFINITY -- failed to compile
CMake Warning at cmake/Dependencies.cmake:749 (message):
  FP16 is only cmake-2.8 compatible
Call Stack (most recent call first):
  CMakeLists.txt:873 (include)


CMake Deprecation Warning at third_party/FP16/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


CMake Deprecation Warning at third_party/psimd/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


-- Using third party subdirectory Eigen.
-- Found Python: E:\Python310\python.exe (found version "3.10.10") found components: Interpreter Development.Module NumPy
-- Using third_party/pybind11.
-- pybind11 include dirs: E:/PyTorch_Build/pytorch/cmake/../third_party/pybind11/include
-- Could NOT find OpenTelemetryApi (missing: OpenTelemetryApi_INCLUDE_DIRS)
-- Using third_party/opentelemetry-cpp.
-- opentelemetry api include dirs: E:/PyTorch_Build/pytorch/cmake/../third_party/opentelemetry-cpp/api/include
-- Could NOT find MPI_C (missing: MPI_C_LIB_NAMES MPI_C_HEADER_DIR MPI_C_WORKS)
-- Could NOT find MPI_CXX (missing: MPI_CXX_LIB_NAMES MPI_CXX_HEADER_DIR MPI_CXX_WORKS)
-- Could NOT find MPI (missing: MPI_C_FOUND MPI_CXX_FOUND)
CMake Warning at cmake/Dependencies.cmake:894 (message):
  Not compiling with MPI.  Suppress this warning with -DUSE_MPI=OFF
Call Stack (most recent call first):
  CMakeLists.txt:873 (include)


-- MKL_THREADING = OMP
-- Check OMP with lib C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib and flags -openmp:experimental
-- MKL_THREADING = OMP
-- Check OMP with lib C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib and flags -openmp:experimental
-- Found OpenMP_C: -openmp:experimental
-- Found OpenMP_CXX: -openmp:experimental
-- Found OpenMP: TRUE
-- Adding OpenMP CXX_FLAGS: -openmp:experimental
-- Will link against OpenMP libraries: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib
-- Found nvtx3: E:/PyTorch_Build/pytorch/third_party/NVTX/c/include
-- ROCM_PATH environment variable is not set and C:/opt/rocm does not exist.
Building without ROCm support.
-- Found Python3: E:\Python310\python.exe (found version "3.10.10") found components: Interpreter
-- ONNX_PROTOC_EXECUTABLE: $<TARGET_FILE:protobuf::protoc>
-- Protobuf_VERSION: Protobuf_VERSION_NOTFOUND
Generated: E:/PyTorch_Build/pytorch/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto
Generated: E:/PyTorch_Build/pytorch/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto
Generated: E:/PyTorch_Build/pytorch/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto
--
-- ******** Summary ********
--   CMake version                     : 4.1.0
--   CMake command                     : E:/Python310/Lib/site-packages/cmake/data/bin/cmake.exe
--   System                            : Windows
--   C++ compiler                      : C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe
--   C++ compiler version              : 19.44.35215.0
--   CXX flags                         : /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /MP /bigobj /FS /utf-8 /EHsc /wd26812
--   Build type                        : Release
--   Compile definitions               : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1
--   CMAKE_PREFIX_PATH                 : E:\Python310\Lib\site-packages
--   CMAKE_INSTALL_PREFIX              : E:/PyTorch_Build/pytorch/torch
--   CMAKE_MODULE_PATH                 : E:/PyTorch_Build/pytorch/cmake/Modules;E:/PyTorch_Build/pytorch/cmake/public/../Modules_CUDA_fix
--
--   ONNX version                      : 1.18.0
--   ONNX NAMESPACE                    : onnx_torch
--   ONNX_USE_LITE_PROTO               : OFF
--   USE_PROTOBUF_SHARED_LIBS          : OFF
--   ONNX_DISABLE_EXCEPTIONS           : OFF
--   ONNX_DISABLE_STATIC_REGISTRATION  : OFF
--   ONNX_WERROR                       : OFF
--   ONNX_BUILD_TESTS                  : OFF
--   BUILD_SHARED_LIBS                 : OFF
--
--   Protobuf compiler                 : $<TARGET_FILE:protobuf::protoc>
--   Protobuf includes                 :
--   Protobuf libraries                :
--   ONNX_BUILD_PYTHON                 : OFF
-- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor
-- Adding -DNDEBUG to compile flags
CMake Warning at cmake/Dependencies.cmake:1418 (message):
  Not compiling with MAGMA.  Suppress this warning with -DUSE_MAGMA=OFF.
Call Stack (most recent call first):
  CMakeLists.txt:873 (include)


-- Could not find hardware support for NEON on this machine.
-- No OMAP3 processor on this machine.
-- No OMAP4 processor on this machine.
-- MKL_THREADING = OMP
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_sequential - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - libiomp5md - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl - guide - pthread - m]
--   Library mkl: not found
-- MKL library not found
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Checking for [Accelerate]
--   Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND
-- Checking for [vecLib]
--   Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND
-- Checking for [flexiblas]
--   Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND
-- Checking for [openblas]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m - gomp]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [libopenblas]
--   Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran - pthread]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [acml - gfortran]
--   Library acml: BLAS_acml_LIBRARY-NOTFOUND
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY)
-- Checking for [ptf77blas - atlas - gfortran]
--   Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND
-- Checking for []
-- Cannot find a library with BLAS API. Not using BLAS.
-- LAPACK requires BLAS
-- Cannot find a library with LAPACK API. Not using LAPACK.
disabling CUDA because NOT USE_CUDA is set
disabling ROCM because NOT USE_ROCM is set
-- MIOpen not found. Compiling without MIOpen support
disabling MKLDNN because USE_MKLDNN is not set
-- {fmt} version: 11.2.0
-- Build type: Release
-- Using CPU-only version of Kineto
-- Configuring Kineto dependency:
--   KINETO_SOURCE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto
--   KINETO_BUILD_TESTS = OFF
--   KINETO_LIBRARY_TYPE = static
CMake Deprecation Warning at third_party/kineto/libkineto/CMakeLists.txt:7 (cmake_minimum_required):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


CMake Warning (dev) at third_party/kineto/libkineto/CMakeLists.txt:15 (find_package):
  Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
  are removed.  Run "cmake --help-policy CMP0148" for policy details.  Use
  the cmake_policy command to set the policy and suppress this warning.

This warning is for project developers.  Use -Wno-dev to suppress it.

-- Found PythonInterp: E:/Python310/python.exe (found version "3.10.10")
--  CUDA_SOURCE_DIR =
--  ROCM_SOURCE_DIR =
--  CUPTI unavailable or disabled - not building GPU profilers
-- Kineto: FMT_SOURCE_DIR = E:/PyTorch_Build/pytorch/third_party/fmt
-- Kineto: FMT_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/fmt/include
--  CUPTI_INCLUDE_DIR = /extras/CUPTI/include
--  ROCTRACER_INCLUDE_DIR = /include/roctracer
--  DYNOLOG_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto/third_party/dynolog/
--  IPCFABRIC_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/
-- Configured Kineto (CPU)
-- Performing Test HAS/WD4624
-- Performing Test HAS/WD4624 - Success
-- Performing Test HAS/WD4068
-- Performing Test HAS/WD4068 - Success
-- Performing Test HAS/WD4067
-- Performing Test HAS/WD4067 - Success
-- Performing Test HAS/WD4267
-- Performing Test HAS/WD4267 - Success
-- Performing Test HAS/WD4661
-- Performing Test HAS/WD4661 - Success
-- Performing Test HAS/WD4717
-- Performing Test HAS/WD4717 - Success
-- Performing Test HAS/WD4244
-- Performing Test HAS/WD4244 - Success
-- Performing Test HAS/WD4804
-- Performing Test HAS/WD4804 - Success
-- Performing Test HAS/WD4273
-- Performing Test HAS/WD4273 - Success
-- Performing Test HAS_WNO_STRINGOP_OVERFLOW
-- Performing Test HAS_WNO_STRINGOP_OVERFLOW - Failed
--
-- Note: when building with Visual Studio the build type is specified when building.
-- For example: 'cmake --build . --config=Release
-- Architecture: x64
-- Use the C++ compiler to compile (MI_USE_CXX=ON)
--
-- Library name     : mimalloc
-- Version          : 2.2.4
-- Build type       : release
-- C++ Compiler     : C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe
-- Compiler flags   : /Zc:__cplusplus
-- Compiler defines : MI_CMAKE_BUILD_TYPE=release;MI_BUILD_RELEASE
-- Link libraries   : psapi;shell32;user32;advapi32;bcrypt
-- Build targets    : static
--
CMake Error at CMakeLists.txt:1264 (add_subdirectory):
  add_subdirectory given source "torch/headeronly" which is not an existing
  directory.


-- don't use NUMA
-- Looking for backtrace
-- Looking for backtrace - not found
-- Could NOT find Backtrace (missing: Backtrace_LIBRARY Backtrace_INCLUDE_DIR)
-- headers outputs:
torch\csrc\inductor\aoti_torch\generated\c_shim_cuda.h not found
torch\csrc\inductor\aoti_torch\generated\c_shim_cpu.h not found
torch\csrc\inductor\aoti_torch\generated\c_shim_aten.h not found
-- sources outputs:
-- declarations_yaml outputs:
-- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT
-- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT - Failed
-- Using ATen parallel backend: OMP
disabling CUDA because USE_CUDA is set false
-- Check size of long double
-- Check size of long double - done
-- Performing Test COMPILER_SUPPORTS_FLOAT128
-- Performing Test COMPILER_SUPPORTS_FLOAT128 - Failed
-- Found OpenMP_C: -openmp:experimental (found version "2.0")
-- Found OpenMP_CXX: -openmp:experimental (found version "2.0")
-- Found OpenMP: TRUE (found version "2.0")
-- Performing Test COMPILER_SUPPORTS_OPENMP
-- Performing Test COMPILER_SUPPORTS_OPENMP - Success
-- Performing Test COMPILER_SUPPORTS_OMP_SIMD
-- Performing Test COMPILER_SUPPORTS_OMP_SIMD - Failed
-- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES
-- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES - Failed
-- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH
-- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH - Failed
-- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM
-- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM - Failed
-- Configuring build for SLEEF-v3.8.0
   Target system: Windows
   Target processor:
   Host system: Windows-10.0.26100
   Host processor: AMD64
   Detected C compiler: MSVC @ C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe
   CMake: 4.1.0
   Make program: C:/Program Files/Microsoft Visual Studio/2022/Community/MSBuild/Current/Bin/amd64/MSBuild.exe
   Crosscompiling SLEEF.
   Native build dir:
-- Using option `/D_CRT_SECURE_NO_WARNINGS /D_CRT_NONSTDC_NO_DEPRECATE  ` to compile libsleef
-- Building shared libs : OFF
-- Building static test bins: OFF
-- MPFR : LIB_MPFR-NOTFOUND
-- GMP : LIBGMP-NOTFOUND
-- RT :
-- FFTW3 : LIBFFTW3-NOTFOUND
-- OPENSSL :
-- SDE : SDE_COMMAND-NOTFOUND
-- COMPILER_SUPPORTS_OPENMP : FALSE
AT_INSTALL_INCLUDE_DIR include/ATen/core
core header install: E:/PyTorch_Build/pytorch/build/aten/src/ATen/core/aten_interned_strings.h
core header install: E:/PyTorch_Build/pytorch/build/aten/src/ATen/core/enum_tag.h
core header install: E:/PyTorch_Build/pytorch/build/aten/src/ATen/core/TensorBody.h
CMake Error: File E:/PyTorch_Build/pytorch/torch/_utils_internal.py does not exist.
CMake Error at caffe2/CMakeLists.txt:241 (configure_file):
  configure_file Problem configuring file


CMake Error: File E:/PyTorch_Build/pytorch/torch/csrc/api/include/torch/version.h.in does not exist.
CMake Error at caffe2/CMakeLists.txt:246 (configure_file):
  configure_file Problem configuring file


CMake Error at caffe2/CMakeLists.txt:1398 (add_subdirectory):
  The source directory

    E:/PyTorch_Build/pytorch/torch

  does not contain a CMakeLists.txt file.


CMake Warning at CMakeLists.txt:1285 (message):
  Generated cmake files are only fully tested if one builds with system glog,
  gflags, and protobuf.  Other settings may generate files that are not well
  tested.


CMake Warning at CMakeLists.txt:1349 (message):
  Generated cmake files are only available when building shared libs.


--
-- ******** Summary ********
-- General:
--   CMake version         : 4.1.0
--   CMake command         : E:/Python310/Lib/site-packages/cmake/data/bin/cmake.exe
--   System                : Windows
--   C++ compiler          : C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe
--   C++ compiler id       : MSVC
--   C++ compiler version  : 19.44.35215.0
--   Using ccache if found : OFF
--   CXX flags             : /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /MP /bigobj /FS /utf-8 -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273
--   Shared LD flags       : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099
--   Static LD flags       : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099
--   Module LD flags       : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099
--   Build type            : Release
--   Compile definitions   : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;ONNX_NAMESPACE=onnx_torch;_CRT_SECURE_NO_DEPRECATE=1;USE_EXTERNAL_MZCRC;MINIZ_DISABLE_ZIP_READER_CRC32_CHECKS;EXPORT_AOTI_FUNCTIONS;WIN32_LEAN_AND_MEAN;_UCRT_LEGACY_INFINITY;NOMINMAX;USE_MIMALLOC
--   CMAKE_PREFIX_PATH     : E:\Python310\Lib\site-packages
--   CMAKE_INSTALL_PREFIX  : E:/PyTorch_Build/pytorch/torch
--   USE_GOLD_LINKER       : OFF
--
--   TORCH_VERSION         : 2.9.0
--   BUILD_STATIC_RUNTIME_BENCHMARK: OFF
--   BUILD_BINARY          : OFF
--   BUILD_CUSTOM_PROTOBUF : ON
--     Protobuf compiler   :
--     Protobuf includes   :
--     Protobuf libraries  :
--   BUILD_PYTHON          : True
--     Python version      : 3.10.10
--     Python executable   : E:\Python310\python.exe
--     Python library      : E:/Python310/libs/python310.lib
--     Python includes     : E:/Python310/include
--     Python site-package : E:\Python310\Lib\site-packages
--   BUILD_SHARED_LIBS     : OFF
--   CAFFE2_USE_MSVC_STATIC_RUNTIME     : ON
--   BUILD_TEST            : True
--   BUILD_JNI             : OFF
--   BUILD_MOBILE_AUTOGRAD : OFF
--   BUILD_LITE_INTERPRETER: OFF
--   INTERN_BUILD_MOBILE   :
--   TRACING_BASED         : OFF
--   USE_BLAS              : 0
--   USE_LAPACK            : 0
--   USE_ASAN              : OFF
--   USE_TSAN              : OFF
--   USE_CPP_CODE_COVERAGE : OFF
--   USE_CUDA              : OFF
--   USE_XPU               : OFF
--   USE_ROCM              : OFF
--   BUILD_NVFUSER         :
--   USE_EIGEN_FOR_BLAS    : ON
--   USE_EIGEN_FOR_SPARSE  : OFF
--   USE_FBGEMM            : OFF
--   USE_KINETO            : ON
--   USE_GFLAGS            : OFF
--   USE_GLOG              : OFF
--   USE_LITE_PROTO        : OFF
--   USE_PYTORCH_METAL     : OFF
--   USE_PYTORCH_METAL_EXPORT     : OFF
--   USE_MPS               : OFF
--   CAN_COMPILE_METAL     :
--   USE_MKL               : OFF
--   USE_MKLDNN            : OFF
--   USE_UCC               : OFF
--   USE_ITT               : OFF
--   USE_XCCL              : OFF
--   USE_NCCL              : OFF
--   Found NVSHMEM         :
--   USE_NNPACK            : OFF
--   USE_NUMPY             : ON
--   USE_OBSERVERS         : ON
--   USE_OPENCL            : OFF
--   USE_OPENMP            : ON
--   USE_MIMALLOC          : ON
--     USE_MIMALLOC_ON_MKL   : OFF
--   USE_VULKAN            : OFF
--   USE_PROF              : OFF
--   USE_PYTORCH_QNNPACK   : OFF
--   USE_XNNPACK           : OFF
--   USE_DISTRIBUTED       : OFF
--   Public Dependencies  :
--   Private Dependencies : Threads::Threads;cpuinfo;fp16;caffe2::openmp;fmt::fmt-header-only;kineto
--   Public CUDA Deps.    :
--   Private CUDA Deps.   :
--   USE_COREML_DELEGATE     : OFF
--   BUILD_LAZY_TS_BACKEND   : ON
--   USE_ROCM_KERNEL_ASSERT : OFF
-- Performing Test HAS_WMISSING_PROTOTYPES
-- Performing Test HAS_WMISSING_PROTOTYPES - Failed
-- Performing Test HAS_WERROR_MISSING_PROTOTYPES
-- Performing Test HAS_WERROR_MISSING_PROTOTYPES - Failed
-- Configuring incomplete, errors occurred!
(.venv) PS E:\PyTorch_Build\pytorch>
(.venv) PS E:\PyTorch_Build\pytorch> # 7. 验证安装
(.venv) PS E:\PyTorch_Build\pytorch> & "E:\Python310\python.exe" -c @"
>> import torch
>> print(f'PyTorch版本: {torch.__version__}')
>> print(f'CUDA可用: {torch.cuda.is_available()}')
>> print(f'CUDA版本: {torch.version.cuda}')
>> print(f'cuDNN版本: {torch.backends.cudnn.version()}')
>> "@
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "E:\Python310\lib\site-packages\torch-2.9.0a0+git2d31c3d-py3.10-win-amd64.egg\torch\__init__.py", line 281, in <module>
    _load_dll_libraries()
  File "E:\Python310\lib\site-packages\torch-2.9.0a0+git2d31c3d-py3.10-win-amd64.egg\torch\__init__.py", line 277, in _load_dll_libraries
    raise err
OSError: [WinError 126] 找不到指定的模块。 Error loading "E:\Python310\lib\site-packages\torch-2.9.0a0+git2d31c3d-py3.10-win-amd64.egg\torch\lib\aoti_custom_ops.dll" or one of its dependencies.
(.venv) PS E:\PyTorch_Build\pytorch> Set-Content -Path manual_build.ps1 -Value (Get-Content manual_build.ps1)
Get-Content: Cannot find path 'E:\PyTorch_Build\pytorch\manual_build.ps1' because it does not exist.
(.venv) PS E:\PyTorch_Build\pytorch> .\manual_build.ps1
(.venv) PS E:\PyTorch_Build\pytorch> # 安装 Docker Desktop
(.venv) PS E:\PyTorch_Build\pytorch> Invoke-WebRequest -Uri "https://desktop.docker.com/win/main/amd64/Docker%20Desktop%20Installer.exe" -OutFile "$env:TEMP\docker_install.exe"
(.venv) PS E:\PyTorch_Build\pytorch> Start-Process -FilePath "$env:TEMP\docker_install.exe" -ArgumentList "install --quiet" -Wait
“

				
			

			

				

					09-02
				

			

		

		

			
				
1. CMake配置阶段出现错误：`add_subdirectory given source "torch/headeronly" which is not an existing directory.` 2. 在构建过程中，尝试安装Python绑定（`setup.py develop`）时，CMake配置再次失败。 3. ...

			
		

	





	

		

			

				
					
PS C:\Users\Administrator\Desktop> cd E:\PyTorch_Build\pytorch
PS E:\PyTorch_Build\pytorch> python -m venv rtx5070_env
No pyvenv.cfg file
PS E:\PyTorch_Build\pytorch>  .\rtx5070_env\Scripts\activate
.\rtx5070_env\Scripts\activate: The term '.\rtx5070_env\Scripts\activate' is not recognized as a name of a cmdlet, function, script file, or executable program.
Check the spelling of the name, or if a path was included, verify that the path is correct and try again.
PS E:\PyTorch_Build\pytorch> # 修复 CMake CUDA 路径配置
PS E:\PyTorch_Build\pytorch> $cmakeCachePath = "E:\PyTorch_Build\pytorch\build\CMakeCache.txt"
PS E:\PyTorch_Build\pytorch> $fixedCudaPath = "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0"
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> # 使用正斜杠替换反斜杠避免转义问题
PS E:\PyTorch_Build\pytorch> (Get-Content $cmakeCachePath) -replace
>>     'CUDA_TOOLKIT_ROOT_DIR:FILEPATH=C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13\.0',
>>     "CUDA_TOOLKIT_ROOT_DIR:FILEPATH=$fixedCudaPath" |
>>     Set-Content $cmakeCachePath -Encoding UTF8
Get-Content: Cannot find path 'E:\PyTorch_Build\pytorch\build\CMakeCache.txt' because it does not exist.
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> Write-Host "✅ 已修复 CUDA 路径配置: $fixedCudaPath"
✅ 已修复 CUDA 路径配置: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0
PS E:\PyTorch_Build\pytorch> # 创建虚拟环境激活脚本
PS E:\PyTorch_Build\pytorch> $activateScript = @"
>> # E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\activate.ps1
>> param()
>>
>> # 设置环境变量
>> $env:VIRTUAL_ENV = "E:\PyTorch_Build\pytorch\rtx5070_env"
>> $env:PATH = "E:\PyTorch_Build\pytorch\rtx5070_env\Scripts;" + $env:PATH
>>
>> # 移除旧的环境变量（如果存在）
>> if ($env:_OLD_VIRTUAL_PATH) {
>>     $env:PATH = $env:_OLD_VIRTUAL_PATH
>> }
>>
>> # 保存当前 PATH
>> $env:_OLD_VIRTUAL_PATH = $env:PATH
>>
>> Write-Host "✅ 虚拟环境已激活: $env:VIRTUAL_ENV" -ForegroundColor Green
>> "@
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> $activateScript | Out-File "E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\activate.ps1" -Encoding UTF8
PS E:\PyTorch_Build\pytorch> # 手动配置 CMake 构建
PS E:\PyTorch_Build\pytorch> Set-Location "E:\PyTorch_Build\pytorch"
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> # 清理无效的构建缓存
PS E:\PyTorch_Build\pytorch> Remove-Item build -Recurse -Force -ErrorAction SilentlyContinue
PS E:\PyTorch_Build\pytorch> New-Item -ItemType Directory -Path build | Out-Null
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> # 使用正确格式的路径变量
PS E:\PyTorch_Build\pytorch> $env:CUDA_PATH = "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0"
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> # 配置 CMake
PS E:\PyTorch_Build\pytorch> cmake -S . -B build `
>>     -GNinja `
>>     -DCMAKE_BUILD_TYPE=Release `
>>     -DUSE_CUDA=ON `
>>     -DUSE_CUDNN=ON `
>>     -DCUDA_TOOLKIT_ROOT_DIR="$env:CUDA_PATH" `
>>     -DCUDNN_ROOT="E:/Program Files/NVIDIA/CUDNN/v9.12" `
>>     -DTORCH_CUDA_ARCH_LIST="8.6" `
>>     -DBUILD_PYTHON=ON
CMake Deprecation Warning at CMakeLists.txt:9 (cmake_policy):
  The OLD behavior for policy CMP0126 will be removed from a future version
  of CMake.

  The cmake-policies(7) manual explains that the OLD behaviors of all
  policies are deprecated and that a policy should be set to OLD only under
  specific short-term circumstances.  Projects should be ported to the NEW
  behavior and not rely on setting a policy to OLD.


-- The CXX compiler identification is GNU 13.2.0
-- The C compiler identification is GNU 13.2.0
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: C:/ProgramData/mingw64/mingw64/bin/c++.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: C:/ProgramData/mingw64/mingw64/bin/gcc.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Not forcing any particular BLAS to be found
CMake Warning at CMakeLists.txt:421 (message):
  TensorPipe cannot be used on Windows.  Set it to OFF


CMake Warning at CMakeLists.txt:423 (message):
  KleidiAI cannot be used on Windows.  Set it to OFF


CMake Warning at CMakeLists.txt:435 (message):
  Libuv is not installed in current conda env.  Set USE_DISTRIBUTED to OFF.
  Please run command 'conda install -c conda-forge libuv=1.39' to install
  libuv.


-- Performing Test C_HAS_AVX_1
-- Performing Test C_HAS_AVX_1 - Failed
-- Performing Test C_HAS_AVX_2
-- Performing Test C_HAS_AVX_2 - Success
-- Performing Test C_HAS_AVX2_1
-- Performing Test C_HAS_AVX2_1 - Failed
-- Performing Test C_HAS_AVX2_2
-- Performing Test C_HAS_AVX2_2 - Success
-- Performing Test C_HAS_AVX512_1
-- Performing Test C_HAS_AVX512_1 - Failed
-- Performing Test C_HAS_AVX512_2
-- Performing Test C_HAS_AVX512_2 - Success
-- Performing Test CXX_HAS_AVX_1
-- Performing Test CXX_HAS_AVX_1 - Failed
-- Performing Test CXX_HAS_AVX_2
-- Performing Test CXX_HAS_AVX_2 - Success
-- Performing Test CXX_HAS_AVX2_1
-- Performing Test CXX_HAS_AVX2_1 - Failed
-- Performing Test CXX_HAS_AVX2_2
-- Performing Test CXX_HAS_AVX2_2 - Success
-- Performing Test CXX_HAS_AVX512_1
-- Performing Test CXX_HAS_AVX512_1 - Failed
-- Performing Test CXX_HAS_AVX512_2
-- Performing Test CXX_HAS_AVX512_2 - Success
-- Current compiler supports avx2 extension. Will build perfkernels.
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Success
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Success
-- Performing Test COMPILER_SUPPORTS_RDYNAMIC
-- Performing Test COMPILER_SUPPORTS_RDYNAMIC - Failed
-- Could not find hardware support for NEON on this machine.
-- No OMAP3 processor on this machine.
-- No OMAP4 processor on this machine.
-- Compiler does not support SVE extension. Will not build perfkernels.
CMake Warning at CMakeLists.txt:841 (message):
  x64 operating system is required for FBGEMM.  Not compiling with FBGEMM.
  Turn this warning off by USE_FBGEMM=OFF.


-- Could NOT find CUDA (missing: CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY) (found version "13.0")
CMake Warning at cmake/public/cuda.cmake:31 (message):
  PyTorch: CUDA cannot be found.  Depending on whether you are building
  PyTorch or a PyTorch dependent library, the next warning / error will give
  you more info.
Call Stack (most recent call first):
  cmake/Dependencies.cmake:44 (include)
  CMakeLists.txt:869 (include)


CMake Warning at cmake/Dependencies.cmake:76 (message):
  Not compiling with CUDA.  Suppress this warning with -DUSE_CUDA=OFF.
Call Stack (most recent call first):
  CMakeLists.txt:869 (include)


CMake Warning at cmake/Dependencies.cmake:95 (message):
  Not compiling with XPU.  Could NOT find SYCL.  Suppress this warning with
  -DUSE_XPU=OFF.
Call Stack (most recent call first):
  CMakeLists.txt:869 (include)


-- Building using own protobuf under third_party per request.
-- Use custom protobuf build.
CMake Warning at cmake/ProtoBuf.cmake:37 (message):
  Ancient protobuf forces CMake compatibility
Call Stack (most recent call first):
  cmake/ProtoBuf.cmake:87 (custom_protobuf_find)
  cmake/Dependencies.cmake:107 (include)
  CMakeLists.txt:869 (include)


CMake Deprecation Warning at third_party/protobuf/cmake/CMakeLists.txt:2 (cmake_minimum_required):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


--
-- 3.13.0.0
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Performing Test protobuf_HAVE_BUILTIN_ATOMICS
-- Performing Test protobuf_HAVE_BUILTIN_ATOMICS - Success
-- Caffe2 protobuf include directory: $<BUILD_INTERFACE:E:/PyTorch_Build/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include>
-- Trying to find preferred BLAS backend of choice: MKL
-- MKL_THREADING = OMP
-- Looking for sys/types.h
-- Looking for sys/types.h - found
-- Looking for stdint.h
-- Looking for stdint.h - found
-- Looking for stddef.h
-- Looking for stddef.h - found
-- Check size of void*
-- Check size of void* - done
-- MKL_THREADING = OMP
CMake Warning at cmake/Dependencies.cmake:213 (message):
  MKL could not be found.  Defaulting to Eigen
Call Stack (most recent call first):
  CMakeLists.txt:869 (include)


CMake Warning at cmake/Dependencies.cmake:279 (message):
  Preferred BLAS (MKL) cannot be found, now searching for a general BLAS
  library
Call Stack (most recent call first):
  CMakeLists.txt:869 (include)


-- MKL_THREADING = OMP
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_sequential - mkl_core]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - libiomp5md - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl_intel_lp64 - mkl_core - pthread]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_core - pthread]
--   Library mkl_intel: not found
-- Checking for [mkl - guide - pthread - m]
--   Library mkl: not found
-- MKL library not found
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Checking for [Accelerate]
--   Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND
-- Checking for [vecLib]
--   Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND
-- Checking for [flexiblas]
--   Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND
-- Checking for [openblas]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [openblas - pthread - m - gomp]
--   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
-- Checking for [libopenblas]
--   Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [goto2 - gfortran - pthread]
--   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
-- Checking for [acml - gfortran]
--   Library acml: BLAS_acml_LIBRARY-NOTFOUND
-- Checking for [blis]
--   Library blis: BLAS_blis_LIBRARY-NOTFOUND
-- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY)
-- Checking for [ptf77blas - atlas - gfortran]
--   Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND
-- Checking for []
-- Looking for sgemm_
-- Looking for sgemm_ - not found
-- Cannot find a library with BLAS API. Not using BLAS.
-- Using pocketfft in directory: E:/PyTorch_Build/pytorch/third_party/pocketfft/
CMake Deprecation Warning at third_party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


CMake Deprecation Warning at third_party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


CMake Deprecation Warning at third_party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


CMake Deprecation Warning at aten/src/ATen/native/quantized/cpu/qnnpack/CMakeLists.txt:7 (cmake_minimum_required):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


-- The ASM compiler identification is GNU
-- Found assembler: C:/ProgramData/mingw64/mingw64/bin/gcc.exe
CMake Error at aten/src/ATen/native/quantized/cpu/qnnpack/CMakeLists.txt:58 (message):
  Unrecognized CMAKE_SYSTEM_PROCESSOR = AMD64


-- Configuring incomplete, errors occurred!
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> # 开始构建
PS E:\PyTorch_Build\pytorch> cmake --build build --config Release --parallel 8
ninja: error: loading 'build.ninja': The system cannot find the file specified.

PS E:\PyTorch_Build\pytorch> # 步骤1: 修复虚拟环境激活脚本
PS E:\PyTorch_Build\pytorch> .\create_activate_script.ps1
.\create_activate_script.ps1: The term '.\create_activate_script.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program.
Check the spelling of the name, or if a path was included, verify that the path is correct and try again.
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> # 步骤2: 激活虚拟环境
PS E:\PyTorch_Build\pytorch> & "E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\activate.ps1"
ParserError: E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\activate.ps1:9
Line |
   9 |  if () {
     |      ~
     | Missing condition in if statement after 'if ('.
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> # 步骤3: 修复 CMake 缓存
PS E:\PyTorch_Build\pytorch> .\fix_cmake_cache.ps1
.\fix_cmake_cache.ps1: The term '.\fix_cmake_cache.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program.
Check the spelling of the name, or if a path was included, verify that the path is correct and try again.
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> # 步骤4: 重建 CMake 配置
PS E:\PyTorch_Build\pytorch> Set-Location "E:\PyTorch_Build\pytorch"
PS E:\PyTorch_Build\pytorch> .\reconfigure_cmake.ps1
.\reconfigure_cmake.ps1: The term '.\reconfigure_cmake.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program.
Check the spelling of the name, or if a path was included, verify that the path is correct and try again.
PS E:\PyTorch_Build\pytorch>
PS E:\PyTorch_Build\pytorch> # 步骤5: 构建 PyTorch
PS E:\PyTorch_Build\pytorch> Set-Location "E:\PyTorch_Build\pytorch\build"
PS E:\PyTorch_Build\pytorch\build> ninja
ninja: error: loading 'build.ninja': The system cannot find the file specified.

PS E:\PyTorch_Build\pytorch\build>
PS E:\PyTorch_Build\pytorch\build> # 步骤6: 安装 PyTorch
PS E:\PyTorch_Build\pytorch\build> Set-Location "E:\PyTorch_Build\pytorch"
PS E:\PyTorch_Build\pytorch> pip install -v --no-build-isolation .
Using pip 25.2 from E:\Python310\lib\site-packages\pip (python 3.10)
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Processing e:\pytorch_build\pytorch
  Running command Preparing metadata (pyproject.toml)
  Building wheel torch-2.9.0a0+git2d31c3d
  E:\Python310\lib\site-packages\setuptools\config\_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
  !!

          ********************************************************************************
          Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).

          By 2026-Feb-18, you need to update your project and remove deprecated calls
          or your builds will no longer be supported.

          See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
          ********************************************************************************

  !!
    corresp(dist, value, root_dir)
  running dist_info
  creating C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info
  writing C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\PKG-INFO
  writing dependency_links to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\dependency_links.txt
  writing entry points to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\entry_points.txt
  writing requirements to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\requires.txt
  writing top-level names to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\top_level.txt
  writing manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\SOURCES.txt'
  reading manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\SOURCES.txt'
  reading manifest template 'MANIFEST.in'
  warning: no files found matching 'BUILD'
  warning: no files found matching '*.BUILD'
  warning: no files found matching 'BUCK'
  warning: no files found matching '[Mm]akefile.*'
  warning: no files found matching '*.[Dd]ockerfile'
  warning: no files found matching '[Dd]ockerfile.*'
  Preparing metadata (pyproject.toml) ... canceled
ERROR: Operation cancelled by user
PS E:\PyTorch_Build\pytorch>

					
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