PowerShell 7 环境已加载 (版本: 7.5.2)
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> # 修复之前的脚本错误
(rtx5070_env) PS E:\PyTorch_Build\pytorch> $fixedActivation = @"
>> try {
>> & "$activatePath"
>> Write-Host "✅ 虚拟环境激活成功" -ForegroundColor Green
>> python -VV
>> }
>> catch [System.Exception] {
>> Write-Host "❌ 激活失败: $($_.Exception.Message)" -ForegroundColor Red
>> }
>> "@
InvalidOperation:
Line |
3 | & "$activatePath"
| ~~~~~~~~~~~~~
| The variable '$activatePath' cannot be retrieved because it has not been set.
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 切换到PyTorch源码目录
(rtx5070_env) PS E:\PyTorch_Build\pytorch> cd E:\PyTorch_Build\pytorch
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 更新pip到最新版
(rtx5070_env) PS E:\PyTorch_Build\pytorch> python -m pip install --upgrade pip
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: pip in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (22.3.1)
Collecting pip
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl (1.8 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 22.3.1
Uninstalling pip-22.3.1:
Successfully uninstalled pip-22.3.1
Successfully installed pip-25.2
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装编译依赖
(rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install -r requirements-build.txt --verbose
Using pip 25.2 from E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\pip (python 3.10)
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting setuptools<80.0,>=70.1.0 (from -r requirements-build.txt (line 2))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/0d/6d/b4752b044bf94cb802d88a888dc7d288baaf77d7910b7dedda74b5ceea0c/setuptools-79.0.1-py3-none-any.whl (1.3 MB)
Collecting cmake>=3.27 (from -r requirements-build.txt (line 3))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7c/d0/73cae88d8c25973f2465d5a4457264f95617c16ad321824ed4c243734511/cmake-4.1.0-py3-none-win_amd64.whl (37.6 MB)
Collecting ninja (from -r requirements-build.txt (line 4))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/29/45/c0adfbfb0b5895aa18cec400c535b4f7ff3e52536e0403602fc1a23f7de9/ninja-1.13.0-py3-none-win_amd64.whl (309 kB)
Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/f3/db/8e12381333aea300890829a0a36bfa738cac95475d88982d538725143fd9/numpy-2.3.0.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/numpy/) (requires-python:>=3.11)
Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/2e/19/d7c972dfe90a353dbd3efbbe1d14a5951de80c99c9dc1b93cd998d51dc0f/numpy-2.3.1.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/numpy/) (requires-python:>=3.11)
Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/37/7d/3fec4199c5ffb892bed55cff901e4f39a58c81df9c44c280499e92cad264/numpy-2.3.2.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/numpy/) (requires-python:>=3.11)
Collecting numpy (from -r requirements-build.txt (line 5))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl (12.9 MB)
Collecting packaging (from -r requirements-build.txt (line 6))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl (66 kB)
Collecting pyyaml (from -r requirements-build.txt (line 7))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b5/84/0fa4b06f6d6c958d207620fc60005e241ecedceee58931bb20138e1e5776/PyYAML-6.0.2-cp310-cp310-win_amd64.whl (161 kB)
Collecting requests (from -r requirements-build.txt (line 8))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/1e/db/4254e3eabe8020b458f1a747140d32277ec7a271daf1d235b70dc0b4e6e3/requests-2.32.5-py3-none-any.whl (64 kB)
Collecting six (from -r requirements-build.txt (line 9))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl (11 kB)
Collecting typing-extensions>=4.10.0 (from -r requirements-build.txt (line 10))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl (44 kB)
Collecting charset_normalizer<4,>=2 (from requests->-r requirements-build.txt (line 8))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/e2/c6/f05db471f81af1fa01839d44ae2a8bfeec8d2a8b4590f16c4e7393afd323/charset_normalizer-3.4.3-cp310-cp310-win_amd64.whl (107 kB)
Collecting idna<4,>=2.5 (from requests->-r requirements-build.txt (line 8))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl (70 kB)
Collecting urllib3<3,>=1.21.1 (from requests->-r requirements-build.txt (line 8))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a7/c2/fe1e52489ae3122415c51f387e221dd0773709bad6c6cdaa599e8a2c5185/urllib3-2.5.0-py3-none-any.whl (129 kB)
Collecting certifi>=2017.4.17 (from requests->-r requirements-build.txt (line 8))
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/e5/48/1549795ba7742c948d2ad169c1c8cdbae65bc450d6cd753d124b17c8cd32/certifi-2025.8.3-py3-none-any.whl (161 kB)
Installing collected packages: urllib3, typing-extensions, six, setuptools, pyyaml, packaging, numpy, ninja, idna, cmake, charset_normalizer, certifi, requests
Attempting uninstall: setuptools
Found existing installation: setuptools 65.5.0
Uninstalling setuptools-65.5.0:
Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\_distutils_hack\
Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\distutils-precedence.pth
Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\pkg_resources\
Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\setuptools-65.5.0.dist-info\
Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\setuptools\
Successfully uninstalled setuptools-65.5.0
Successfully installed certifi-2025.8.3 charset_normalizer-3.4.3 cmake-4.1.0 idna-3.10 ninja-1.13.0 numpy-2.2.6 packaging-25.0 pyyaml-6.0.2 requests-2.32.5 setuptools-79.0.1 six-1.17.0 typing-extensions-4.15.0 urllib3-2.5.0
(rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install cmake ninja --upgrade
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: cmake in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (4.1.0)
Requirement already satisfied: ninja in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (1.13.0)
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 清理旧编译产物
(rtx5070_env) PS E:\PyTorch_Build\pytorch> Remove-Item -Recurse -Force build, dist -ErrorAction SilentlyContinue
(rtx5070_env) PS E:\PyTorch_Build\pytorch> Write-Host "`n==== 编译环境验证 ====" -ForegroundColor Cyan
==== 编译环境验证 ====
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 1. 目录验证
(rtx5070_env) PS E:\PyTorch_Build\pytorch> Write-Host "当前目录: $pwd"
当前目录: E:\PyTorch_Build\pytorch
(rtx5070_env) PS E:\PyTorch_Build\pytorch> if ($pwd -ne "E:\PyTorch_Build\pytorch") {
>> Write-Host "⚠️ 错误: 需要切换到E:\PyTorch_Build\pytorch" -ForegroundColor Yellow
>> cd E:\PyTorch_Build\pytorch
>> }
⚠️ 错误: 需要切换到E:\PyTorch_Build\pytorch
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 2. CUDA工具链验证
(rtx5070_env) PS E:\PyTorch_Build\pytorch> $cudaStatus = @(
>> "nvcc --version",
>> "nvidia-smi",
>> "where cudnn64_8.dll"
>> )
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> foreach ($cmd in $cudaStatus) {
>> Write-Host "`n执行: $cmd" -ForegroundColor Magenta
>> try {
>> Invoke-Expression $cmd
>> }
>> catch {
>> Write-Host "❌ 命令失败: $_" -ForegroundColor Red
>> }
>> }
执行: nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2025 NVIDIA Corporation
Built on Wed_Jul_16_20:06:48_Pacific_Daylight_Time_2025
Cuda compilation tools, release 13.0, V13.0.48
Build cuda_13.0.r13.0/compiler.36260728_0
执行: nvidia-smi
Wed Sep 3 22:04:47 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 580.97 Driver Version: 580.97 CUDA Version: 13.0 |
+-----------------------------------------+------------------------+----------------------+
| GPU Name Driver-Model | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 5070 WDDM | 00000000:01:00.0 On | N/A |
| 0% 38C P3 22W / 250W | 1601MiB / 12227MiB | 1% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 1540 C+G ...yb3d8bbwe\WindowsTerminal.exe N/A |
| 0 N/A N/A 1916 C+G C:\Windows\System32\dwm.exe N/A |
| 0 N/A N/A 4972 C+G ...em32\ApplicationFrameHost.exe N/A |
| 0 N/A N/A 5036 C+G ...ef.win7x64\steamwebhelper.exe N/A |
| 0 N/A N/A 5996 C+G ...8bbwe\PhoneExperienceHost.exe N/A |
| 0 N/A N/A 6420 C+G ...ntrolPanel\SystemSettings.exe N/A |
| 0 N/A N/A 8280 C+G C:\Windows\explorer.exe N/A |
| 0 N/A N/A 8428 C+G ...indows\System32\ShellHost.exe N/A |
| 0 N/A N/A 8616 C+G ..._cw5n1h2txyewy\SearchHost.exe N/A |
| 0 N/A N/A 9212 C+G ...y\StartMenuExperienceHost.exe N/A |
| 0 N/A N/A 10092 C+G ...0.3405.125\msedgewebview2.exe N/A |
| 0 N/A N/A 12816 C+G ...5n1h2txyewy\TextInputHost.exe N/A |
| 0 N/A N/A 13400 C+G ...crosoft\OneDrive\OneDrive.exe N/A |
| 0 N/A N/A 14212 C+G ...t\Edge\Application\msedge.exe N/A |
| 0 N/A N/A 14440 C+G ...acted\runtime\WeChatAppEx.exe N/A |
| 0 N/A N/A 15156 C+G ...les\Tencent\Weixin\Weixin.exe N/A |
| 0 N/A N/A 18312 C+G ...es\Microsoft VS Code\Code.exe N/A |
+-----------------------------------------------------------------------------------------+
执行: where cudnn64_8.dll
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 3. Python环境验证
(rtx5070_env) PS E:\PyTorch_Build\pytorch> Write-Host "`nPython环境状态:" -ForegroundColor Magenta
Python环境状态:
(rtx5070_env) PS E:\PyTorch_Build\pytorch> pip show torch | Select-String "Location"
WARNING: Package(s) not found: torch
(rtx5070_env) PS E:\PyTorch_Build\pytorch> python -c "import torch; print(f'PyTorch版本: {torch.__version__}')"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "E:\PyTorch_Build\pytorch\torch\__init__.py", line 61, in <module>
from torch.torch_version import __version__ as __version__
File "E:\PyTorch_Build\pytorch\torch\torch_version.py", line 5, in <module>
from torch.version import __version__ as internal_version
ModuleNotFoundError: No module named 'torch.version'
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置RTX 5070专属编译参数
(rtx5070_env) PS E:\PyTorch_Build\pytorch> $cmakeArgs = @(
>> "-B build",
>> "-G Ninja",
>> "-DUSE_CUDA=ON",
>> "-DUSE_CUDNN=ON",
>> "-DCUDA_TOOLKIT_ROOT_DIR=`"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0`"",
>> "-DCUDNN_ROOT_DIR=`"E:\Program Files\NVIDIA\CUNND\v9.12`"",
>> "-DCUDA_ARCH_LIST=`"8.9`"", # RTX 5070架构
>> "-DTORCH_CUDA_ARCH_LIST=`"8.9`"",
>> "-DCMAKE_BUILD_TYPE=Release",
>> "-DUSE_NCCL=OFF",
>> "-DUSE_MKLDNN=ON",
>> "-DTORCH_CUDA_VERSION=11.8" # 兼容旧驱动
>> )
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 启动配置过程
(rtx5070_env) PS E:\PyTorch_Build\pytorch> cmake ($cmakeArgs -join " ")
CMake Error: Unable to (re)create the private pkgRedirects directory:
E:/PyTorch_Build/pytorch/build -G Ninja -DUSE_CUDA=ON -DUSE_CUDNN=ON -DCUDA_TOOLKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0" -DCUDNN_ROOT_DIR="E:/Program Files/NVIDIA/CUNND/v9.12" -DCUDA_ARCH_LIST="8.9" -DTORCH_CUDA_ARCH_LIST="8.9" -DCMAKE_BUILD_TYPE=Release -DUSE_NCCL=OFF -DUSE_MKLDNN=ON -DTORCH_CUDA_VERSION=11.8/CMakeFiles/pkgRedirects
This may be caused by not having read/write access to the build directory.
Try specifying a location with read/write access like:
cmake -B build
If using a CMake presets file, ensure that preset parameter
'binaryDir' expands to a writable directory.
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置并行编译（根据CPU核心数调整）
(rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:MAX_JOBS = 8
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> # 启动编译并记录日志
(rtx5070_env) PS E:\PyTorch_Build\pytorch> $logFile = "build_$(Get-Date -Format 'yyyyMMdd_HHmmss').log"
(rtx5070_env) PS E:\PyTorch_Build\pytorch> Start-Transcript -Path $logFile
Transcript started, output file is build_20250903_220514.log
(rtx5070_env) PS E:\PyTorch_Build\pytorch>
(rtx5070_env) PS E:\PyTorch_Build\pytorch> try {
>> cmake --build build --config Release --parallel $env:MAX_JOBS
>> pip install -v --no-build-isolation .
>> }
>> catch {
>> Write-Host "🔥 编译失败！错误详情: $_" -ForegroundColor Red
>> }
Error: E:/PyTorch_Build/pytorch/build is not a directory
Using pip 25.2 from E:\PyTorch_Build\pytorch\rtx5070_env\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:\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 dist_info
creating C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info
writing C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\PKG-INFO
writing dependency_links to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\dependency_links.txt
writing entry points to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\entry_points.txt
writing requirements to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\requires.txt
writing top-level names to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\top_level.txt
writing manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\SOURCES.txt'
reading manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\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.*'
warning: no previously-included files matching '*.o' found anywhere in distribution
warning: no previously-included files matching '*.obj' found anywhere in distribution
warning: no previously-included files matching '*.so' found anywhere in distribution
warning: no previously-included files matching '*.a' found anywhere in distribution
warning: no previously-included files matching '*.dylib' found anywhere in distribution
no previously-included directories found matching '*\.git'
warning: no previously-included files matching '*~' found anywhere in distribution
warning: no previously-included files matching '*.swp' found anywhere in distribution
adding license file 'LICENSE'
adding license file 'NOTICE'
writing manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\SOURCES.txt'
creating 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch-2.9.0a0+git2d31c3d.dist-info'
Preparing metadata (pyproject.toml) ... done
Collecting filelock (from torch==2.9.0a0+git2d31c3d)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/42/14/42b2651a2f46b022ccd948bca9f2d5af0fd8929c4eec235b8d6d844fbe67/filelock-3.19.1-py3-none-any.whl (15 kB)
Requirement already satisfied: typing-extensions>=4.10.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from torch==2.9.0a0+git2d31c3d) (4.15.0)
Collecting sympy>=1.13.3 (from torch==2.9.0a0+git2d31c3d)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a2/09/77d55d46fd61b4a135c444fc97158ef34a095e5681d0a6c10b75bf356191/sympy-1.14.0-py3-none-any.whl (6.3 MB)
Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/eb/8d/776adee7bbf76365fdd7f2552710282c79a4ead5d2a46408c9043a2b70ba/networkx-3.5-py3-none-any.whl (from https://pypi.tuna.tsinghua.edu.cn/simple/networkx/) (requires-python:>=3.11)
Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/6c/4f/ccdb8ad3a38e583f214547fd2f7ff1fc160c43a75af88e6aec213404b96a/networkx-3.5.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/networkx/) (requires-python:>=3.11)
Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/3f/a1/46c1b6e202e3109d2a035b21a7e5534c5bb233ee30752d7f16a0bd4c3989/networkx-3.5rc0-py3-none-any.whl (from https://pypi.tuna.tsinghua.edu.cn/simple/networkx/) (requires-python:>=3.11)
Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/90/7e/0319606a20ced20730806b9f7fe91d8a92f7da63d76a5c388f87d3f7d294/networkx-3.5rc0.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/networkx/) (requires-python:>=3.11)
Collecting networkx>=2.5.1 (from torch==2.9.0a0+git2d31c3d)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b9/54/dd730b32ea14ea797530a4479b2ed46a6fb250f682a9cfb997e968bf0261/networkx-3.4.2-py3-none-any.whl (1.7 MB)
Collecting jinja2 (from torch==2.9.0a0+git2d31c3d)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl (134 kB)
Collecting fsspec>=0.8.5 (from torch==2.9.0a0+git2d31c3d)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/47/71/70db47e4f6ce3e5c37a607355f80da8860a33226be640226ac52cb05ef2e/fsspec-2025.9.0-py3-none-any.whl (199 kB)
Collecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch==2.9.0a0+git2d31c3d)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl (536 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch==2.9.0a0+git2d31c3d)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/44/06/e7175d06dd6e9172d4a69a72592cb3f7a996a9c396eee29082826449bbc3/MarkupSafe-3.0.2-cp310-cp310-win_amd64.whl (15 kB)
Building wheels for collected packages: torch
Running command Building wheel for torch (pyproject.toml)
Building wheel torch-2.9.0a0+git2d31c3d
-- Building version 2.9.0a0+git2d31c3d
E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\setuptools\_distutils\_msvccompiler.py:12: UserWarning: _get_vc_env is private; find an alternative (pypa/distutils#340)
warnings.warn(
Cloning into 'nccl'...
Note: switching to '3ea7eedf3b9b94f1d9f99f4e55536dfcbd23c1ca'.
You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.
If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:
git switch -c <new-branch-name>
Or undo this operation with:
git switch -
Turn off this advice by setting config variable advice.detachedHead to false
cmake -GNinja -DBUILD_PYTHON=True -DBUILD_TEST=True -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=E:\PyTorch_Build\pytorch\torch -DCMAKE_PREFIX_PATH=E:\PyTorch_Build\pytorch\rtx5070_env\Lib\site-packages -DCUDNN_INCLUDE_DIR=E:\Program Files\NVIDIA\CUNND\v9.12\include\12.9 -DCUDNN_LIBRARY=E:\Program Files\NVIDIA\CUNND\v9.12\lib\12.9\x64 -DCUDNN_ROOT=E:\Program Files\NVIDIA\CUNND\v9.12 -DPython_EXECUTABLE=E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe -DPython_NumPy_INCLUDE_DIR=E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\numpy\_core\include -DTORCH_BUILD_VERSION=2.9.0a0+git2d31c3d -DTORCH_CUDA_ARCH_LIST=8.9 -DUSE_NUMPY=True -DUSE_OPENBLAS=1 E:\PyTorch_Build\pytorch
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 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 (x86)/Microsoft Visual Studio/2022/BuildTools/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 (x86)/Microsoft Visual Studio/2022/BuildTools/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: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 - 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:841 (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
-- Found CUDA: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 (found version "13.0")
-- 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 - done
-- Check for working CUDA compiler: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- Found CUDAToolkit: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/include (found version "13.0.48")
-- PyTorch: CUDA detected: 13.0
-- PyTorch: CUDA nvcc is: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe
-- PyTorch: CUDA toolkit directory: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0
-- PyTorch: Header version is: 13.0
-- Found Python: E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe (found version "3.10.10") found components: Interpreter
CMake Warning at cmake/public/cuda.cmake:140 (message):
Failed to compute shorthash for libnvrtc.so
Call Stack (most recent call first):
cmake/Dependencies.cmake:44 (include)
CMakeLists.txt:869 (include)
-- Found CUDNN: E:/Program Files/NVIDIA/CUNND/v9.12/lib/13.0/x64/cudnn.lib
-- Could NOT find CUSPARSELT (missing: CUSPARSELT_LIBRARY_PATH CUSPARSELT_INCLUDE_PATH)
CMake Warning at cmake/public/cuda.cmake:226 (message):
Cannot find cuSPARSELt library. Turning the option off
Call Stack (most recent call first):
cmake/Dependencies.cmake:44 (include)
CMakeLists.txt:869 (include)
-- Could NOT find CUDSS (missing: CUDSS_LIBRARY_PATH CUDSS_INCLUDE_PATH)
CMake Warning at cmake/public/cuda.cmake:242 (message):
Cannot find CUDSS library. Turning the option off
Call Stack (most recent call first):
cmake/Dependencies.cmake:44 (include)
CMakeLists.txt:869 (include)
-- USE_CUFILE is set to 0. Compiling without cuFile support
CMake Warning at cmake/public/cuda.cmake:317 (message):
pytorch is not compatible with `CMAKE_CUDA_ARCHITECTURES` and will ignore
its value. Please configure `TORCH_CUDA_ARCH_LIST` instead.
Call Stack (most recent call first):
cmake/Dependencies.cmake:44 (include)
CMakeLists.txt:869 (include)
-- Added CUDA NVCC flags for: -gencode;arch=compute_89,code=sm_89
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 - 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: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.
-- The ASM compiler identification is MSVC
CMake Warning (dev) at rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineASMCompiler.cmake:234 (message):
Policy CMP194 is not set: MSVC is not an assembler for language ASM. Run
"cmake --help-policy CMP194" for policy details. Use the cmake_policy
command to set the policy and suppress this warning.
Call Stack (most recent call first):
third_party/XNNPACK/CMakeLists.txt:18 (PROJECT)
This warning is for project developers. Use -Wno-dev to suppress it.
-- Found assembler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe
-- Building for XNNPACK_TARGET_PROCESSOR: x86_64
-- Generating microkernels.cmake
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