Cmd - Remove directories on Windows

最新推荐文章于 2025-06-03 21:41:39 发布
原创 最新推荐文章于 2025-06-03 21:41:39 发布 · 205 阅读 · 0 ·
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#tools #windows

本文介绍了一种在Windows系统中如何彻底删除无法正常删除的文件夹的方法。通过使用命令提示符下的del和rd命令，可以有效地移除那些由于权限问题或其他原因导致无法删除的目录。

on windows, there is no rm -rf *, what you have to do is 

  • remove all the files
  • remove the directory that contains the fiels (empty files)

 

Here is the steps that you will exist, suppose that folder is the directoty that you want to remove. 

 

del /F /S /Q folder
rd /S /Q folder
 

Hope this can help.

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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 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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
最新发布
09-04
Invoke-WebRequest -Uri "https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/windows-x86_64/libcusparse_lt-windows-x86_64-0.5.0.0.zip" -OutFile cusparselt.zip Expand-Archive ...
window下——命令行(cmd)常用操作_整理
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window——cmd操作 打开命令行 方式一：开始菜单搜索 cmd 方式二：win + r 输入 cmd 常用命令 pwd（print working directory） cd（change directory） 切换到指定路径（相对路径或绝对路径） ls（list files） ls 列出当前目录文件 ls 目录路径 列出指定路径文件 ls -a 列出文件并显示隐藏文件或目录 cp（copy） cp 源路径 目标路径 cp 在复制目录的时候，不会复制里面的子文件或子目录 -r （
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Tony的博客
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Windows CMD常用命令
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WindowsCMD学习笔记
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Win11 怎么用cmd命令删除Windows部分自带应用
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环境： Win11专业版21H2 华为桌面云 问题描述： Win11 怎么用cmd命令删除Windows部分自带应用 解决方案： 1.查看已安装自带应用名称 PowerShell -Command "& {Get-AppxPackage | Select Name,PackageFullName}" 2.新建批处理文件 批处理文件内容： PowerShell -Command "& {get-appxpackage *Microsoft.SkypeApp* | remove-appxpa
Windows下使用cmd命令清空目录
末点
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windows下使用cmd命令清空目录，目录下包含了子目录和文件。清空目录但是不删除目录本身。del命令删除文件，但是不能删除文件夹；rd命令删除目录，作用于子目录，for循环遍历所有子目录。 del: rd：......
cmd delete 命令
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del /f/s/q usecase_for_dev
Windows cmd 命令行清空
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如果想清空命令行里的信息，可以执行 cls 命令，即输入 cls 回车。 cls  原文地址：https://blog.youkuaiyun.com/heyangweng/article/details/81836437
使用cmd命令删除文件夹下所有文件
www.jiav.net技术网站的加盟博客
02-22 923
rmdir 删除整个目录 好比说我要删除 222 这个目录下的所有目录和档案，这语法就是： rmdir /s/q 222 其中： /s 是代表删除所有子目录跟其中的档案。 /q 是不要它在删除档案或目录时，不再问我 Yes or No 的动作。 要删除的目录前也可以指定路径，如： rmdir /s/q d:\123\abc 这意思是告诉计算机，把磁盘驱动器 D ...
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