PowerShell 7 环境已加载 (版本: 7.5.2)
PS C:\Users\Administrator\Desktop> cd E:\PyTorch_Build\pytorch
PS E:\PyTorch_Build\pytorch> python -m venv rtx5070_env
PS E:\PyTorch_Build\pytorch> .\rtx5070_env\Scripts\activate
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 创建终极修复脚本: build_absolute_fix.ps1
(rtx5070_env) PS E:\PyTorch_Build\pytorch> @'
>> # ------ 初始化 ------
>> $ErrorActionPreference = "Stop"
>> Write-Host "=== PyTorch 终极解决方案 ===" -ForegroundColor Cyan
>> Write-Host "开始时间: $(Get-Date -Format 'yyyy-MM-dd HH:mm:ss')"
>> $logFile = "$PWD\build_log_$(Get-Date -Format 'yyyyMMdd_HHmmss').txt"
>> Start-Transcript -Path $logFile -Append
>>
>> # ------ 强制设置开发环境 ------
>> $env:DeveloperMode = 1
>> $env:CMAKE_GENERATOR = "Ninja"
>>
>> # ------ 路径配置 ------
>> $pythonEnv = "E:\PyTorch_Build\pytorch\rtx5070_env"
>> $cudaPath = "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0"
>> $cudnnBasePath = "E:\Program Files\NVIDIA\CUNND\v9.12"
>> $cudaVersion = "13.0"
>> $vsPath = "C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools" # 确保正确路径
>>
>> # ------ 确保Visual Studio工具在PATH中 ------
>> $env:Path = `
>> "$vsPath\VC\Tools\MSVC\14.44.35207\bin\Hostx64\x64;" + `
>> "$vsPath\Common7\IDE;" + `
>> "$cudaPath\bin;" + `
>> $env:Path
>>
>> # ------ 修复cuDNN检测 ------
>> function Get-ProperCudnnPath {
>> $headerPath = "E:\Program Files\NVIDIA\CUNND\v9.12\include\13.0"
>> $libraryPath = "E:\Program Files\NVIDIA\CUNND\v9.12\lib\13.0\x64\cudnn64_9.lib"
>> $dllPath = "E:\Program Files\NVIDIA\CUNND\v9.12\bin\13.0\cudnn64_9.dll"
>>
>> if (-not (Test-Path $headerPath)) {
>> throw "cuDNN头文件路径不存在: $headerPath"
>> }
>> if (-not (Test-Path $libraryPath)) {
>> throw "cuDNN库文件路径不存在: $libraryPath"
>> }
>> if (-not (Test-Path $dllPath)) {
>> throw "cuDNN DLL文件路径不存在: $dllPath"
>> }
>>
>> return @{
>> IncludeDir = $headerPath
>> Library = $libraryPath
>> BinDir = [System.IO.Path]::GetDirectoryName($dllPath)
>> }
>> }
>>
>> Write-Host "`n=== 硬编码cuDNN路径 ===" -ForegroundColor Yellow
>> $cudnn = Get-ProperCudnnPath
>> Write-Host "cuDNN头文件: $($cudnn.IncludeDir)"
>> Write-Host "cuDNN库文件: $($cudnn.Library)"
>> Write-Host "cuDNN DLL目录: $($cudnn.BinDir)"
>>
>> # ------ 环境配置 ------
>> Write-Host "`n=== 配置环境变量 ===" -ForegroundColor Green
>> $env:CUDA_PATH = $cudaPath
>> $env:Path = "$cudaPath\bin;$($cudnn.BinDir);$env:Path"
>> $env:CUDNN_INCLUDE_DIR = $cudnn.IncludeDir
>> $env:CUDNN_LIBRARY = $cudnn.Library
>> $env:TORCH_CUDA_ARCH_LIST = "8.9"
>>
>> # 调试信息
>> Write-Host "环境变量检查:"
>> Write-Host "CUDA_PATH: $env:CUDA_PATH"
>> Write-Host "CUDNN_INCLUDE_DIR: $env:CUDNN_INCLUDE_DIR"
>> Write-Host "CUDNN_LIBRARY: $env:CUDNN_LIBRARY"
>> Write-Host "PATH: $($env:Path -split ';' | Select-Object -First 10)..."
>>
>> # ------ 激活Python环境 ------
>> Write-Host "`n=== 激活Python环境 ===" -ForegroundColor Magenta
>> . "$pythonEnv\Scripts\Activate.ps1"
>> Write-Host "✅ Python虚拟环境已激活" -ForegroundColor Green
>> Write-Host "Python版本: $(python --version)"
>> Write-Host "Pip版本: $(pip --version)"
>>
>> # ------ 强制清理 ------
>> Write-Host "`n=== 深度清理构建缓存 ===" -ForegroundColor Red
>> python setup.py clean
>> Remove-Item -Recurse -Force build, dist, torch\lib, cmake_build -ErrorAction SilentlyContinue
>> Remove-Item -Force *.ncb, *.sdf, *.suo -ErrorAction SilentlyContinue
>>
>> # ------ 安装依赖 ------
>> Write-Host "`n=== 安装核心依赖 ===" -ForegroundColor Yellow
>> pip install -U pip setuptools wheel ninja cmake==3.28.7 # 使用稳定版本
>> pip install -r requirements.txt
>>
>> # ------ 方法4: 直接CMake+Ninja构建 ------
>> Write-Host "`n=== 方法4: 纯CMake+Ninja构建 ===" -ForegroundColor Green
>> $buildDir = "$PWD\cmake_release"
>> New-Item -ItemType Directory -Path $buildDir -Force | Out-Null
>> Set-Location $buildDir
>>
>> cmake .. -GNinja `
>> -DCMAKE_BUILD_TYPE=Release `
>> -DUSE_CUDA=ON `
>> -DUSE_CUDNN=ON `
>> -DCUDNN_INCLUDE_DIR="$($cudnn.IncludeDir)" `
>> -DCUDNN_LIBRARY="$($cudnn.Library)" `
>> -DPYTHON_EXECUTABLE="$pythonEnv\Scripts\python.exe" `
>> -DCMAKE_INSTALL_PREFIX="$PWD/install" `
>> -DTORCH_CUDA_ARCH_LIST="8.9" `
>> -DCMAKE_MSVC_RESPONSE_FILE=OFF # 解决Windows路径问题
>>
>> if ($LASTEXITCODE -ne 0) {
>> Write-Host "❌ CMake配置失败" -ForegroundColor Red
>> exit 1
>> }
>>
>> ninja install
>> $buildExitCode = $LASTEXITCODE
>> Set-Location ..
>>
>> if ($buildExitCode -eq 0) {
>> # ------ 修复运行时依赖 ------
>> $torchLibDir = "$PWD\torch\lib"
>> New-Item -ItemType Directory -Path $torchLibDir -Force | Out-Null
>>
>> # 1. 复制所有CUDA DLL
>> Get-ChildItem -Path "$cudaPath\bin\*.dll" | ForEach-Object {
>> Copy-Item $_.FullName $torchLibDir -Force
>> Write-Host "✅ 复制CUDA DLL: $($_.Name)"
>> }
>>
>> # 2. 复制cuDNN DLL
>> Copy-Item "$($cudnn.BinDir)\*.dll" $torchLibDir -Force
>>
>> # 3. 复制构建生成的DLL
>> $buildDlls = Get-ChildItem -Path "$buildDir\lib", "$buildDir\bin" -Recurse -Include *.dll
>> foreach ($dll in $buildDlls) {
>> Copy-Item $dll.FullName $torchLibDir -Force
>> Write-Host "✅ 复制构建DLL: $($dll.Name)"
>> }
>>
>> # 4. 设置Python软链接
>> $installDir = "$buildDir\install"
>> $env:PYTHONPATH = "$installDir;$env:PYTHONPATH"
>> }
>>
>> # ------ 验证结果 ------
>> if ($buildExitCode -eq 0) {
>> Write-Host "`n=== 验证构建结果 ===" -ForegroundColor Cyan
>> $env:Path = "$torchLibDir;$env:Path"
>>
>> python -c @"
>> import os, torch
>> print(f'PyTorch版本: {torch.__version__}')
>> print(f'CUDA可用: {torch.cuda.is_available()}')
>>
>> if torch.cuda.is_available():
>> print(f'CUDA版本: {torch.version.cuda}')
>> print(f'cuDNN版本: {torch.backends.cudnn.version()}')
>> print(f'检测到的GPU: {torch.cuda.get_device_name(0)}')
>>
>> # 测试基础计算
>> a = torch.randn(1000, 1000, device='cuda')
>> b = torch.randn(1000, 1000, device='cuda')
>> c = a @ b
>> print(f'GPU计算验证: 矩阵乘法成功 (结果形状: {c.shape})')
>>
>> # 检查关键DLL
>> from ctypes import WinDLL
>> try:
>> WinDLL(os.path.join(torch.__file__, 'lib', 'aoti_custom_ops.dll'))
>> print('✅ aoti_custom_ops.dll 加载成功')
>> except Exception as e:
>> print(f'❌ aoti_custom_ops.dll 加载失败: {str(e)}')
>> "@
>> $buildExitCode = $LASTEXITCODE
>> }
>>
>> # ------ 完成报告 ------
>> Write-Host "`n=== 构建报告 ===" -ForegroundColor Cyan
>> Write-Host "构建状态: $(if ($buildExitCode -eq 0) {'成功!'} else {'失败'})" -ForegroundColor $(if ($buildExitCode -eq 0) {'Green'} else {'Red'})
>> Write-Host "完成时间: $(Get-Date -Format 'yyyy-MM-dd HH:mm:ss')"
>>
>> Stop-Transcript
>> exit $buildExitCode
>> '@ | Set-Content -Path "build_absolute_fix.ps1" -Encoding UTF8
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 运行脚本
(rtx5070_env) PS E:\PyTorch_Build\pytorch> Set-ExecutionPolicy Bypass -Scope Process -Force
(rtx5070_env) PS E:\PyTorch_Build\pytorch> .\build_absolute_fix.ps1
=== PyTorch 终极解决方案 ===
开始时间: 2025-09-03 14:24:16
Transcript started, output file is E:\PyTorch_Build\pytorch\build_log_20250903_142416.txt
=== 硬编码cuDNN路径 ===
cuDNN头文件: E:\Program Files\NVIDIA\CUNND\v9.12\include\13.0
cuDNN库文件: E:\Program Files\NVIDIA\CUNND\v9.12\lib\13.0\x64\cudnn64_9.lib
cuDNN DLL目录: E:\Program Files\NVIDIA\CUNND\v9.12\bin\13.0
=== 配置环境变量 ===
环境变量检查:
CUDA_PATH: E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0
CUDNN_INCLUDE_DIR: E:\Program Files\NVIDIA\CUNND\v9.12\include\13.0
CUDNN_LIBRARY: E:\Program Files\NVIDIA\CUNND\v9.12\lib\13.0\x64\cudnn64_9.lib
PATH: E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin E:\Program Files\NVIDIA\CUNND\v9.12\bin\13.0 C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\VC\Tools\MSVC\14.44.35207\bin\Hostx64\x64 C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\Common7\IDE E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin E:\PyTorch_Build\pytorch\rtx5070_env\Scripts C:\Program Files\PowerShell\7 C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp C:\Miniconda3\condabin...
=== 激活Python环境 ===
✅ Python虚拟环境已激活
Python版本: Python 3.10.10
Pip版本: pip 25.2 from E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\pip (python 3.10)
=== 深度清理构建缓存 ===
Building wheel torch-2.9.0a0+git2d31c3d
E:\PyTorch_Build\pytorch\rtx5070_env\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 clean
=== 安装核心依赖 ===
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: pip in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (25.2)
Requirement already satisfied: setuptools in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (79.0.1)
Collecting setuptools
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a3/dc/17031897dae0efacfea57dfd3a82fdd2a2aeb58e0ff71b77b87e44edc772/setuptools-80.9.0-py3-none-any.whl (1.2 MB)
Requirement already satisfied: wheel in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (0.45.1)
Requirement already satisfied: ninja in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (1.13.0)
ERROR: Ignored the following yanked versions: 3.27.4, 3.28.0, 3.29.0, 3.29.1, 3.31.0
ERROR: Could not find a version that satisfies the requirement cmake==3.28.7 (from versions: 0.1.0, 0.2.0, 0.4.0, 0.5.0, 0.6.0, 0.7.0, 0.7.1, 0.8.0, 0.9.0, 3.6.3, 3.6.3.post1, 3.7.2, 3.8.2, 3.9.6, 3.10.3, 3.11.0, 3.11.4, 3.11.4.post1, 3.12.0, 3.13.0, 3.13.1, 3.13.2, 3.13.2.post1, 3.14.3, 3.14.3.post1, 3.14.4, 3.14.4.post1, 3.15.3, 3.15.3.post1, 3.16.3, 3.16.3.post1, 3.16.5, 3.16.6, 3.16.7, 3.16.8, 3.17.0, 3.17.1, 3.17.2, 3.17.3, 3.18.0, 3.18.2, 3.18.2.post1, 3.18.4, 3.18.4.post1, 3.20.2, 3.20.3, 3.20.4, 3.20.5, 3.21.0, 3.21.1, 3.21.1.post1, 3.21.2, 3.21.3, 3.21.4, 3.22.0, 3.22.1, 3.22.2, 3.22.3, 3.22.4, 3.22.5, 3.22.6, 3.23.3, 3.24.0, 3.24.1, 3.24.1.1, 3.24.2, 3.24.3, 3.25.0, 3.25.2, 3.26.0, 3.26.1, 3.26.3, 3.26.4, 3.27.0, 3.27.1, 3.27.2, 3.27.4.1, 3.27.5, 3.27.6, 3.27.7, 3.27.9, 3.28.1, 3.28.3, 3.28.4, 3.29.0.1, 3.29.2, 3.29.3, 3.29.5, 3.29.5.1, 3.29.6, 3.30.0, 3.30.1, 3.30.2, 3.30.3, 3.30.4, 3.30.5, 3.30.9, 3.31.0.1, 3.31.1, 3.31.2, 3.31.4, 3.31.6, 4.0.0, 4.0.2, 4.0.3, 4.1.0)
ERROR: No matching distribution found for cmake==3.28.7
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: setuptools<80.0,>=70.1.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r E:\PyTorch_Build\pytorch\requirements-build.txt (line 2)) (79.0.1)
Requirement already satisfied: cmake>=3.27 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r E:\PyTorch_Build\pytorch\requirements-build.txt (line 3)) (4.1.0)
Requirement already satisfied: ninja in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r E:\PyTorch_Build\pytorch\requirements-build.txt (line 4)) (1.13.0)
Requirement already satisfied: numpy in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r E:\PyTorch_Build\pytorch\requirements-build.txt (line 5)) (2.2.6)
Requirement already satisfied: packaging in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r E:\PyTorch_Build\pytorch\requirements-build.txt (line 6)) (25.0)
Requirement already satisfied: pyyaml in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r E:\PyTorch_Build\pytorch\requirements-build.txt (line 7)) (6.0.2)
Requirement already satisfied: requests in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r E:\PyTorch_Build\pytorch\requirements-build.txt (line 8)) (2.32.5)
Requirement already satisfied: six in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r E:\PyTorch_Build\pytorch\requirements-build.txt (line 9)) (1.17.0)
Requirement already satisfied: typing-extensions>=4.10.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r E:\PyTorch_Build\pytorch\requirements-build.txt (line 10)) (4.15.0)
Requirement already satisfied: expecttest>=0.3.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 8)) (0.3.0)
Requirement already satisfied: filelock in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 9)) (3.19.1)
Requirement already satisfied: fsspec>=0.8.5 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 10)) (2025.7.0)
Requirement already satisfied: hypothesis in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 11)) (6.138.13)
Requirement already satisfied: jinja2 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 12)) (3.1.6)
Requirement already satisfied: lintrunner in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 13)) (0.12.7)
Requirement already satisfied: networkx>=2.5.1 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 14)) (3.4.2)
Requirement already satisfied: optree>=0.13.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 15)) (0.17.0)
Requirement already satisfied: psutil in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 16)) (7.0.0)
Requirement already satisfied: sympy>=1.13.3 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 17)) (1.14.0)
Requirement already satisfied: wheel in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 19)) (0.45.1)
Requirement already satisfied: build[uv] in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from -r requirements.txt (line 7)) (1.3.0)
Requirement already satisfied: charset_normalizer<4,>=2 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from requests->-r E:\PyTorch_Build\pytorch\requirements-build.txt (line 8)) (3.4.3)
Requirement already satisfied: idna<4,>=2.5 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from requests->-r E:\PyTorch_Build\pytorch\requirements-build.txt (line 8)) (3.10)
Requirement already satisfied: urllib3<3,>=1.21.1 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from requests->-r E:\PyTorch_Build\pytorch\requirements-build.txt (line 8)) (2.5.0)
Requirement already satisfied: certifi>=2017.4.17 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from requests->-r E:\PyTorch_Build\pytorch\requirements-build.txt (line 8)) (2025.8.3)
Requirement already satisfied: pyproject_hooks in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from build[uv]->-r requirements.txt (line 7)) (1.2.0)
Requirement already satisfied: colorama in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from build[uv]->-r requirements.txt (line 7)) (0.4.6)
Requirement already satisfied: tomli>=1.1.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from build[uv]->-r requirements.txt (line 7)) (2.2.1)
Requirement already satisfied: uv>=0.1.18 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from build[uv]->-r requirements.txt (line 7)) (0.8.14)
Requirement already satisfied: attrs>=22.2.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from hypothesis->-r requirements.txt (line 11)) (25.3.0)
Requirement already satisfied: exceptiongroup>=1.0.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from hypothesis->-r requirements.txt (line 11)) (1.3.0)
Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from hypothesis->-r requirements.txt (line 11)) (2.4.0)
Requirement already satisfied: MarkupSafe>=2.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from jinja2->-r requirements.txt (line 12)) (3.0.2)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from sympy>=1.13.3->-r requirements.txt (line 17)) (1.3.0)
=== 方法4: 纯CMake+Ninja构建 ===
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.
-- Found CUDA: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 (found version "13.0")
CMake Error at rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineCompilerId.cmake:928 (message):
Compiling the CUDA compiler identification source file
"CMakeCUDACompilerId.cu" failed.
Compiler: E:/Program Files/NVIDIA GPU Computing
Toolkit/CUDA/v13.0/bin/nvcc.exe
Build flags:
Id flags: --keep;--keep-dir;tmp -v
The output was:
1
nvcc fatal : Cannot find compiler 'cl.exe' in PATH
Compiling the CUDA compiler identification source file
"CMakeCUDACompilerId.cu" failed.
Compiler: E:/Program Files/NVIDIA GPU Computing
Toolkit/CUDA/v13.0/bin/nvcc.exe
Build flags:
-DLIBCUDACXX_ENABLE_SIMPLIFIED_COMPLEX_OPERATIONS;-Xfatbin;-compress-all
Id flags: --keep;--keep-dir;tmp -v
The output was:
1
nvcc fatal : Cannot find compiler 'cl.exe' in PATH
Call Stack (most recent call first):
rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineCompilerId.cmake:8 (CMAKE_DETERMINE_COMPILER_ID_BUILD)
rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineCompilerId.cmake:53 (__determine_compiler_id_test)
rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineCUDACompiler.cmake:162 (CMAKE_DETERMINE_COMPILER_ID)
cmake/public/cuda.cmake:47 (enable_language)
cmake/Dependencies.cmake:44 (include)
CMakeLists.txt:869 (include)
-- Configuring incomplete, errors occurred!
❌ CMake配置失败
为啥一直失败呢 我们现在缺的是什么 你能解释给我听吗
本文记录了解决在使用nvcc编译CUDA程序时遇到的“找不到cl.exe”及“找不到支持的cl.exe版本”的问题。通过调整环境变量和确保CUDA版本的一致性最终解决了该问题。
扫一扫
2938
被折叠的 条评论
为什么被折叠?
到【灌水乐园】发言
