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> # 修改
cmake_config
.ps1
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> @"
>> #
cmake_config
.ps1
>> # 修复源目录路径 - 指向PyTorch源码目录
>> `$sourceDir =
(Get-Item -Path "
.."
).FullName # 关键修改：使用上级目录
>>
>> `$
cmakeArgs = @
(
>> "-G", "Ninja",
>> "-D
CMAKE_BUILD_TYPE=Release",
>> "-D
CMAKE_C_COMPILER=cl
.exe",
>> "-D
CMAKE_CXX_COMPILER=cl
.exe",
>> "-D
CMAKE_CUDA_COMPILER=E
:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13
.0/bin/nvcc
.exe",
>> "-D
CMAKE_CUDA_HOST_COMPILER=cl
.exe",
>> "-D
CMAKE_SYSTEM_VERSION=10
.0
.22621
.0",
>> "-DCUDA_NVCC_FLAGS=-Xcompiler /wd4819 -gencode arch=compute_89,code=sm_89",
>> "-DTORCH_CUDA_ARCH_LIST=8
.9",
>> "-DUSE_CUDA=ON",
>> "-DUSE_NCCL=OFF",
>> "-DUSE_DISTRIBUTED=OFF",
>> "-DBUILD_TESTING=OFF",
>> "-DBLAS=OpenBLAS",
>> "-DCUDA_TOOLKIT_ROOT_DIR=E
:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13
.0",
>> "-DCUDNN_ROOT_DIR=E
:/Program Files/NVIDIA/CUDNN/v9
.12",
>> "-DPYTHON_EXECUTABLE=`$
((Get-Command python
).Source
)"
>>
)
>>
>> Write-Host "运行
CMake: cmake `$sourceDir @
cmakeArgs"
>>
cmake `$sourceDir @
cmakeArgs # 指向正确的源码目录
>> "@ | Set-Content
cmake_config
.ps1 -Force
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> # 修改 compile_cuda_test
.ps1
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> @"
>> # compile_cuda_test
.ps1
>> `$cudaTest = @'
>> #include <cuda_runtime
.h>
>> #include <iostream>
>> #include <cuda
.h> // 添加必要头文件
>>
>> __global__ void addKernel
(int *c, const int *a, const int *b
) {
>> int i = threadIdx
.x;
>> c[i] = a[i] + b[i];
>> }
>>
>> int main
() {
>> const int arraySize = 5;
>> const int a[arraySize] = {1, 2, 3, 4, 5};
>> const int b[arraySize] = {10, 20, 30, 40, 50};
>> int c[arraySize] = {0};
>>
>> int *dev_a, *dev_b, *dev_c;
>> cudaMalloc
((void**
)&dev_a, arraySize * sizeof
(int
)); // 修复指针转换
>> cudaMalloc
((void**
)&dev_b, arraySize * sizeof
(int
));
>> cudaMalloc
((void**
)&dev_c, arraySize * sizeof
(int
));
>>
>> cudaMemcpy
(dev_a, a, arraySize * sizeof
(int
), cudaMemcpyHostToDevice
);
>> cudaMemcpy
(dev_b, b, arraySize * sizeof
(int
), cudaMemcpyHostToDevice
);
>>
>> // 修复内核调用语法
>> addKernel<<<1, arraySize>>>
(dev_c, dev_a, dev_b
);
>>
>> cudaMemcpy
(c, dev_c, arraySize * sizeof
(int
), cudaMemcpyDeviceToHost
);
>>
>> std
::cout << "CUDA测试结果
: ";
>> for
(int i = 0; i < arraySize; i++
) {
>> std
::cout << c[i] << " ";
>> }
>> return 0;
>> }
>> '@
>>
>> `$cudaTest | Set-Content cuda_test
.cu # 改为
.cu扩展名
>>
>> `$ccbinPath = "`$env
:VCToolsInstallDir\bin\Hostx64\x64"
>>
>> # 添加显式包含路径
>> nvcc -ccbin "`$ccbinPath" -I "E
:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13
.0\include" cuda_test
.cu -o cuda_test
>>
>> if
(Test-Path cuda_test
.exe
) {
>>
.\cuda_test
.exe
>> } else {
>> Write-Host "CUDA编译失败，请检查环境"
>> }
>> "@ | Set-Content compile_cuda_test
.ps1 -Force
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> # 1
. 更新问题脚本
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> # 执行上面的两个脚本修改命令
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch>
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> # 2
. 清理构建目录并重新构建
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> Remove-Item build -Recurse -Force -ErrorAction SilentlyContinue
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch>
.\full_build
.ps1
=== 开始完整构建 ===
环境设置完成!
Looking in indexes
: https
://pypi
.tuna
.tsinghua
.edu
.cn/simple
Requirement already satisfied
: numpy in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(2
.2
.6
)
Requirement already satisfied
: ninja in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(1
.13
.0
)
Requirement already satisfied
: pyyaml in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(6
.0
.2
)
Requirement already satisfied
: mkl in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(2025
.2
.0
)
Requirement already satisfied
: mkl-include in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(2025
.2
.0
)
Requirement already satisfied
: setuptools in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(65
.5
.0
)
Requirement already satisfied
: cmake in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(4
.1
.0
)
Requirement already satisfied
: cffi in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(1
.17
.1
)
Requirement already satisfied
: typing_extensions in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(4
.15
.0
)
Requirement already satisfied
: future in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(1
.0
.0
)
Requirement already satisfied
: six in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(1
.17
.0
)
Requirement already satisfied
: requests in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(2
.32
.5
)
Requirement already satisfied
: dataclasses in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(0
.6
)
Requirement already satisfied
: intel-openmp<2026,>=2024 in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from mkl
) (2025
.2
.1
)
Requirement already satisfied
: tbb==2022
.* in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from mkl
) (2022
.2
.0
)
Requirement already satisfied
: tcm
lib==1
.* in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from
tbb==2022
.*->mkl
) (1
.4
.0
)
Requirement already satisfied
: pycparser in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from cffi
) (2
.22
)
Requirement already satisfied
: idna<4,>=2
.5 in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from requests
) (3
.10
)
Requirement already satisfied
: certifi>=2017
.4
.17 in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from requests
) (2025
.8
.3
)
Requirement already satisfied
: url
lib3<3,>=1
.21
.1 in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from requests
) (2
.5
.0
)
Requirement already satisfied
: charset_normalizer<4,>=2 in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from requests
) (3
.4
.3
)
Requirement already satisfied
: intel-cmplr-
lib-ur==2025
.2
.1 in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from intel-openmp<2026,>=2024->mkl
) (2025
.2
.1
)
Requirement already satisfied
: umf==0
.11
.* in e
:\pytorch_build\pytorch\rtx5070_env\
lib\site-packages
(from intel-cmplr-
lib-ur==2025
.2
.1->intel-openmp<2026,>=2024->mkl
) (0
.11
.0
)
[notice] A new release of pip available
: 22
.3
.1 -> 25
.2
[notice] To update, run
: python
.exe -m pip install --upgrade pip
运行
CMake: cmake E
:\PyTorch_Build\pytorch @
cmakeArgs
CMake Warning at
CMakeLists
.txt
:418
(message
):
TensorPipe cannot be used on
Windows. Set it to OFF
-- Current compiler supports avx2 extension
. Will build perfkernels
.
-- Current compiler supports avx512f extension
. Will build fbgemm
.
-- The CUDA compiler identification is NVIDIA 13
.0
.48 with host compiler MSVC 19
.44
.35215
.0
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - failed
-- Check for working CUDA compiler
: E
:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13
.0/bin/nvcc
.exe
-- Check for working CUDA compiler
: E
:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13
.0/bin/nvcc
.exe - broken
CMake Error at E
:/PyTorch_Build/pytorch/rtx5070_env/
Lib/site-packages/
cmake/data/share/
cmake-4
.1/Modules/
CMakeTestCUDACompiler
.cmake:59
(message
):
The CUDA compiler
"E
:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13
.0/bin/nvcc
.exe"
is not able to compile a simple test program
.
It fails with the following output
:
Change Dir
: 'E
:/PyTorch_Build/pytorch/
CMakeFiles/
CMakeScratch/TryCompile-9hsd61'
Run Build Command
(s
): E
:/PyTorch_Build/pytorch/rtx5070_env/Scripts/ninja
.exe -v cmTC_917ed
[1/2] "E
:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13
.0\bin\nvcc
.exe" -forward-unknown-to-host-compiler -ccbin=C
:\PROGRA~1\MICROS~3\2022\COMMUN~1\VC\Tools\MSVC\1444~1
.352\bin\Hostx64\x64\cl
.exe -D
LIBCUDACXX_ENABLE_SIMPLIFIED_COMPLEX_OPERATIONS -Xfatbin -compress-all -Xcompiler=" -Zi -Ob0 -Od /RTC1" "--generate-code=arch=compute_75,code=[compute_75,sm_75]" -Xcompiler=-MDd -MD -MT
CMakeFiles\cmTC_917ed
.dir\main
.cu
.obj -MF
CMakeFiles\cmTC_917ed
.dir\main
.cu
.obj
.d -x cu -c E
:\PyTorch_Build\pytorch\
CMakeFiles\
CMakeScratch\TryCompile-9hsd61\main
.cu -o
CMakeFiles\cmTC_917ed
.dir\main
.cu
.obj -Xcompiler=-Fd
CMakeFiles\cmTC_917ed
.dir\,-FS
main
.cu
tmpxft_00004ff4_00000000-10_main
.cudafe1
.cpp
[2/2] C
:\
WINDOWS\system32\cmd
.exe /C "cd
. && E
:\PyTorch_Build\pytorch\rtx5070_env\
Lib\site-packages\
cmake\data\bin\
cmake.exe -E vs_
link_exe --intdir=
CMakeFiles\cmTC_917ed
.dir --rc=C
:\ProgramData\mingw64\mingw64\bin\windres
.exe --mt="" --manifests -- C
:\ProgramData\mingw64\mingw64\bin\ld
.exe /nologo
CMakeFiles\cmTC_917ed
.dir\main
.cu
.obj /out
:cmTC_917ed
.exe /imp
lib:cmTC_917ed
.lib /pdb
:cmTC_917ed
.pdb /version
:0
.0 /
debug /INCREMENTAL cudadevrt
.lib cudart
.lib kernel32
.lib user32
.lib gdi32
.lib winspool
.lib shell32
.lib ole32
.lib oleaut32
.lib uuid
.lib comdlg32
.lib advapi32
.lib -
LIBPATH
:"E
:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13
.0/
lib/x64" && cd
."
FAILED
: [code=4294967295] cmTC_917ed
.exe
C
:\
WINDOWS\system32\cmd
.exe /C "cd
. && E
:\PyTorch_Build\pytorch\rtx5070_env\
Lib\site-packages\
cmake\data\bin\
cmake.exe -E vs_
link_exe --intdir=
CMakeFiles\cmTC_917ed
.dir --rc=C
:\ProgramData\mingw64\mingw64\bin\windres
.exe --mt="" --manifests -- C
:\ProgramData\mingw64\mingw64\bin\ld
.exe /nologo
CMakeFiles\cmTC_917ed
.dir\main
.cu
.obj /out
:cmTC_917ed
.exe /imp
lib:cmTC_917ed
.lib /pdb
:cmTC_917ed
.pdb /version
:0
.0 /
debug /INCREMENTAL cudadevrt
.lib cudart
.lib kernel32
.lib user32
.lib gdi32
.lib winspool
.lib shell32
.lib ole32
.lib oleaut32
.lib uuid
.lib comdlg32
.lib advapi32
.lib -
LIBPATH
:"E
:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13
.0/
lib/x64" && cd
."
RC Pass 1
: command "C
:\ProgramData\mingw64\mingw64\bin\windres
.exe /fo
CMakeFiles\cmTC_917ed
.dir/manifest
.res
CMakeFiles\cmTC_917ed
.dir/manifest
.rc" failed
(exit code 1
) with the following output
:
Usage
: C
:\ProgramData\mingw64\mingw64\bin\windres
.exe [option
(s
)] [input-file] [output-file]
The options are
:
-i --input=<file> Name input file
-o --output=<file> Name output file
-J --input-format=<format> Specify input format
-O --output-format=<format> Specify output format
-F --target=<target> Specify COFF target
--preprocessor=<program> Program to use to preprocess rc file
--preprocessor-arg=<arg> Additional preprocessor argument
-I --include-dir=<dir> Include directory when preprocessing rc file
-D --define <sym>[=<val>] Define SYM when preprocessing rc file
-U --undefine <sym> Undefine SYM when preprocessing rc file
-v --verbose Verbose - tells you what it's doing
-c --codepage=<codepage> Specify default codepage
-l --language=<val> Set language when reading rc file
--use-temp-file Use a temporary file instead of popen to read
the preprocessor output
--no-use-temp-file Use popen
(default
)
-r Ignored for compatibility with rc
@<file> Read options from <file>
-h --help Print this help message
-V --version Print version information
FORMAT is one of rc, res, or coff, and is deduced from the file name
extension if not specified
. A single file name is an input file
.
No input-file is stdin, default rc
. No output-file is stdout, default rc
.
C
:\ProgramData\mingw64\mingw64\bin\windres
.exe
: supported targets
: pe-x86-64 pei-x86-64 pe-bigobj-x86-64 elf64-x86-64 pe-i386 pei-i386 elf32-i386 elf32-iamcu elf64-little elf64-big elf32-little elf32-big srec symbolsrec verilog tekhex binary ihex plugin
ninja
: build stopped
: subcommand failed
.
CMake will not be able to correctly generate this project
.
Call Stack
(most recent call first
):
cmake/public/cuda
.cmake:47
(enable_language
)
cmake/Dependencies
.cmake:43
(include
)
CMakeLists
.txt
:853
(include
)
-- Configuring incomplete, errors occurred!
You have changed variables that require your cache to be deleted
.
Configure will be re-run and you may have to reset some variables
.
The following variables have changed
:
CMAKE_CXX_COMPILER= cl
.exe
CMAKE_C_COMPILER= cl
.exe
-- Generating done
(0
.0s
)
CMake Warning
:
Manually-specified variables were not used by the project
:
BLAS
BUILD_TESTING
CUDNN_ROOT_DIR
PYTHON_EXECUTABLE
TORCH_CUDA_ARCH_LIST
CMake Generate step failed
. Build files cannot be regenerated correctly
.
Traceback
(most recent call last
):
File "<string>", line 1, in <module>
AttributeError
: module 'torch' has no attribute '__version__'
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch>
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> # 3
. 验证CUDA编译
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch>
.\compile_cuda_test
.ps1
cuda_test
.cu
cuda_test
.cu
(1
): warning C4819
: 该文件包含不能在当前代码页
(936
)中表示的字符。请将该文件保存为 Unicode 格式以防止数据丢失
E
:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13
.0/include\cuda
.h
(23283
): warning C4819
: 该文件包含不能在当前代码页
(936
)中表示的字符。请将该文件保存为 Unicode 格式以防止数据丢失
cuda_test
.cu
(1
): warning C4819
: 该文件包含不能在当前代码页
(936
)中表示的字符。请将该文件保存为 Unicode 格式以防止数据丢失
E
:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13
.0/include\cuda
.h
(23283
): warning C4819
: 该文件包含不能在当前代码页
(936
)中表示的字符。请将该文件保存为 Unicode 格式以防止数据丢失
tmpxft_00004e0c_00000000-10_cuda_test
.cudafe1
.cpp
CUDA娴嬭瘯缁撴灉
: 11 22 33 44 55
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch>
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> # 4
. 最终验证
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch> python -c @"
>> import 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设备数量
: {torch
.cuda
.device_count
()}'
)
>> print
(f'设备0名称
: {torch
.cuda
.get_device_name
(0
)}'
)
>> "@
Traceback
(most recent call last
):
File "<string>", line 2, in <module>
AttributeError
: module 'torch' has no attribute '__version__'
(rtx5070_env
) PS E
:\PyTorch_Build\pytorch>
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